From 77a8fba8ac052408804d887832ca0b10c4dbc7d8 Mon Sep 17 00:00:00 2001 From: stefano scardigli Date: Mon, 30 Oct 2023 11:41:28 +0100 Subject: [PATCH 1/3] Updating wiki files, with added new products. --- .../assets/images/logo_ASPIS_prtscrn.png | Bin 0 -> 70822 bytes .../data/inaf_cpcp_superdarn_datacube.rst | 50 +++++++++++++ .../data/inaf_cpcp_superdarn_image.rst | 48 ++++++++++++ .../data/inaf_data_solopas_timeseries.rst | 61 ++++++++++++++++ .../products/data/inaf_exosphere_model.rst | 34 +++++++++ .../data/inaf_flux1h_svirco_timeseries.rst | 46 ++++++++++++ .../data/inaf_flux1m_svirco_timeseries.rst | 43 +++++++++++ .../data/inaf_flux5m_svirco_timeseries.rst | 43 +++++++++++ .../data/inaf_flux_nmtg_timeseries.rst | 37 ++++++++++ .../products/data/inaf_gsmaps_datacube.rst | 53 ++++++++++++++ .../products/data/inaf_m2flare_tableset.rst | 49 +++++++++++++ .../products/data/inaf_na_mercexo_image.rst | 38 ++++++++++ .../data/inaf_p_svirco_timeseries.rst | 42 +++++++++++ .../products/data/inaf_s1sep_tableset.rst | 53 ++++++++++++++ .../products/data/inaf_s2sep_tableset.rst | 53 ++++++++++++++ .../data/inaf_swflux_merc_tableset.rst | 45 ++++++++++++ .../products/data/inaf_tps_datacube.rst | 48 ++++++++++++ .../data/inaf_vbcorr_psp_tableset.rst | 47 ++++++++++++ .../data/inaf_vbcorr_solo_tableset.rst | 47 ++++++++++++ .../data/inaf_vbcorr_wind_tableset.rst | 47 ++++++++++++ .../data/inaf_walen_cluster_tableset.rst | 49 +++++++++++++ .../products/data/inaf_walen_mms_tableset.rst | 47 ++++++++++++ .../data/inaf_walen_themis_tableset.rst | 49 +++++++++++++ .../data/infn_saandose_samadha_timeseries.rst | 37 ++++++++++ .../data/infn_tgndose_samadha_timeseries.rst | 37 ++++++++++ .../data/ingv_alert_aqu_timeseries.rst | 49 +++++++++++++ .../data/ingv_alert_cts_timeseries.rst | 49 +++++++++++++ .../data/ingv_alert_dur_timeseries.rst | 49 +++++++++++++ .../data/ingv_alert_lmp_timeseries.rst | 49 +++++++++++++ .../data/ingv_autoiono_bbla_timeseries.rst | 46 ++++++++++++ .../data/ingv_autoiono_gibi_timeseries.rst | 46 ++++++++++++ .../data/ingv_autoiono_rome_timeseries.rst | 46 ++++++++++++ .../data/ingv_autoiono_tucu_timeseries.rst | 46 ++++++++++++ .../products/data/ingv_b_swarm_image.rst | 39 ++++++++++ .../products/data/ingv_b_swarm_timeseries.rst | 41 +++++++++++ .../products/data/ingv_be_swarm_image.rst | 39 ++++++++++ .../data/ingv_be_swarm_timeseries.rst | 41 +++++++++++ .../products/data/ingv_bep_swarm_image.rst | 39 ++++++++++ .../data/ingv_bep_swarm_timeseries.rst | 41 +++++++++++ .../data/ingv_bvect_cses_tableset.rst | 41 +++++++++++ .../data/ingv_evect_cses_tableset.rst | 41 +++++++++++ .../products/data/ingv_field_cses_image.rst | 40 ++++++++++ .../products/data/ingv_gic_aqu_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_gic_cts_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_gic_dur_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_gic_int_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_gic_lmp_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_gic_wdc_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_lol_swarm_image.rst | 58 +++++++++++++++ .../data/ingv_lol_swarm_timeseries.rst | 60 +++++++++++++++ .../data/ingv_ltmuf_cagliari_tableset.rst | 38 ++++++++++ .../data/ingv_ltmuf_catania_tableset.rst | 38 ++++++++++ .../data/ingv_ltmuf_milan_tableset.rst | 38 ++++++++++ .../data/ingv_ltmuf_rome_tableset.rst | 38 ++++++++++ .../products/data/ingv_mag_aqu_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_cts_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_dmc_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_dur_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_int_timeseries.rst | 46 ++++++++++++ .../products/data/ingv_mag_lmp_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_tnb_timeseries.rst | 47 ++++++++++++ .../products/data/ingv_mag_wdc_timeseries.rst | 47 ++++++++++++ .../data/ingv_magdef_cts_timeseries.rst | 48 ++++++++++++ .../data/ingv_magdef_dur_timeseries.rst | 48 ++++++++++++ .../data/ingv_ncmuf_cagliari_tableset.rst | 42 +++++++++++ .../data/ingv_ncmuf_catania_tableset.rst | 38 ++++++++++ .../data/ingv_ncmuf_milan_tableset.rst | 38 ++++++++++ .../data/ingv_ncmuf_rome_tableset.rst | 38 ++++++++++ .../products/data/ingv_ne_swarm_image.rst | 39 ++++++++++ .../data/ingv_ne_swarm_timeseries.rst | 41 +++++++++++ .../products/data/ingv_plasma_cses_image.rst | 39 ++++++++++ .../data/ingv_plasma_cses_timeseries.rst | 41 +++++++++++ .../data/ingv_rodi1hz_swarm_timeseries.rst | 67 +++++++++++++++++ .../products/data/ingv_rodi_swarm_image.rst | 61 ++++++++++++++++ .../data/ingv_rotei1hz_swarm_timeseries.rst | 64 ++++++++++++++++ .../products/data/ingv_rotei_swarm_image.rst | 62 ++++++++++++++++ .../data/ingv_roti1hz_swarm_timeseries.rst | 66 +++++++++++++++++ .../products/data/ingv_roti_swarm_image.rst | 62 ++++++++++++++++ .../products/data/ingv_sigma_swarm_image.rst | 39 ++++++++++ .../data/ingv_sigma_swarm_timeseries.rst | 41 +++++++++++ .../products/data/ingv_te_swarm_image.rst | 39 ++++++++++ .../data/ingv_te_swarm_timeseries.rst | 41 +++++++++++ .../data/ingv_valiiono_gibi_timeseries.rst | 46 ++++++++++++ .../data/ingv_valiiono_rome_timeseries.rst | 46 ++++++++++++ .../products/data/uniaq_curr_maigic_image.rst | 44 +++++++++++ .../data/uniaq_curr_maigic_tableset.rst | 44 +++++++++++ .../data/uniaq_epmde_emma_timeseries.rst | 36 +++++++++ .../data/uniaq_field_maigic_image.rst | 46 ++++++++++++ .../data/uniaq_field_maigic_tableset.rst | 46 ++++++++++++ .../data/uniaq_mag_emma_timeseries.rst | 65 +++++++++++++++++ .../data/unical_bshockspsd_tableset.rst | 57 +++++++++++++++ .../data/unical_bshockssfs_tableset.rst | 57 +++++++++++++++ .../products/data/unical_esp_ace_spectrum.rst | 51 +++++++++++++ .../data/unical_esp_bepc_spectrum.rst | 43 +++++++++++ .../products/data/unical_esp_psp_spectrum.rst | 45 ++++++++++++ .../data/unical_esp_solo_spectrum.rst | 45 ++++++++++++ .../data/unical_esp_stra_spectrum.rst | 45 ++++++++++++ .../data/unical_esp_wind_spectrum.rst | 46 ++++++++++++ .../products/data/unical_sep_ace_spectrum.rst | 45 ++++++++++++ .../data/unical_sep_bepc_spectrum.rst | 43 +++++++++++ .../products/data/unical_sep_psp_spectrum.rst | 45 ++++++++++++ .../data/unical_sep_soho_spectrum.rst | 45 ++++++++++++ .../data/unical_sep_solo_spectrum.rst | 45 ++++++++++++ .../data/unical_sep_stra_spectrum.rst | 45 ++++++++++++ .../data/unical_sep_wind_spectrum.rst | 46 ++++++++++++ .../data/unical_sepindices_tableset.rst | 47 ++++++++++++ .../data/unical_septransport_tableset.rst | 49 +++++++++++++ .../data/unical_shockpar_ace_tableset.rst | 53 ++++++++++++++ .../data/unical_shockpar_stra_tableset.rst | 48 ++++++++++++ .../data/unical_shockpar_wide_tableset.rst | 69 ++++++++++++++++++ .../data/unical_shockpar_wind_tableset.rst | 54 ++++++++++++++ docs/source/products/data/unict_promin_ws.rst | 40 ++++++++++ docs/source/products/data/unipg_gcr_model.rst | 34 +++++++++ .../data/unitn_flux_cses_timeseries.rst | 43 +++++++++++ .../data/unitov_halpha_tsst_image.rst | 45 ++++++++++++ .../products/data/unitov_icme_tableset.rst | 49 +++++++++++++ .../products/data/unitov_mag_tsst_image.rst | 45 ++++++++++++ .../source/products/data/unitov_pdb_model.rst | 40 ++++++++++ .../data/unitov_rdparameter_tableset.rst | 45 ++++++++++++ .../products/data/unitov_vel_tsst_image.rst | 45 ++++++++++++ .../products/software/inaf_visual_gsm_sw.rst | 45 ++++++++++++ .../software/inaf_visual_mercexo_sw.rst | 38 ++++++++++ .../products/software/inaf_visual_tps_sw.rst | 45 ++++++++++++ .../products/software/ingv_symhfore_sw.rst | 47 ++++++++++++ .../products/software/unical_euvwaves_sw.rst | 38 ++++++++++ .../software/unical_visual_spectra_sw.rst | 41 +++++++++++ .../products/software/unict_facfil_sw.rst | 40 ++++++++++ .../software/unict_sunspotclass_sw.rst | 40 ++++++++++ .../software/unict_visual_photchrom_sw.rst | 43 +++++++++++ .../products/software/unige_desat_sw.rst | 33 +++++++++ .../products/software/unige_flarefore_sw.rst | 33 +++++++++ .../software/unige_fourierxray_sw.rst | 33 +++++++++ .../software/unitov_visual_tsst_sw.rst | 45 ++++++++++++ 133 files changed, 6029 insertions(+) create mode 100644 docs/source/assets/images/logo_ASPIS_prtscrn.png create mode 100644 docs/source/products/data/inaf_cpcp_superdarn_datacube.rst create mode 100644 docs/source/products/data/inaf_cpcp_superdarn_image.rst create mode 100644 docs/source/products/data/inaf_data_solopas_timeseries.rst create mode 100644 docs/source/products/data/inaf_exosphere_model.rst create mode 100644 docs/source/products/data/inaf_flux1h_svirco_timeseries.rst create mode 100644 docs/source/products/data/inaf_flux1m_svirco_timeseries.rst create mode 100644 docs/source/products/data/inaf_flux5m_svirco_timeseries.rst create mode 100644 docs/source/products/data/inaf_flux_nmtg_timeseries.rst create mode 100644 docs/source/products/data/inaf_gsmaps_datacube.rst create mode 100644 docs/source/products/data/inaf_m2flare_tableset.rst create mode 100644 docs/source/products/data/inaf_na_mercexo_image.rst create mode 100644 docs/source/products/data/inaf_p_svirco_timeseries.rst create mode 100644 docs/source/products/data/inaf_s1sep_tableset.rst create mode 100644 docs/source/products/data/inaf_s2sep_tableset.rst create mode 100644 docs/source/products/data/inaf_swflux_merc_tableset.rst create mode 100644 docs/source/products/data/inaf_tps_datacube.rst create mode 100644 docs/source/products/data/inaf_vbcorr_psp_tableset.rst create mode 100644 docs/source/products/data/inaf_vbcorr_solo_tableset.rst create mode 100644 docs/source/products/data/inaf_vbcorr_wind_tableset.rst create mode 100644 docs/source/products/data/inaf_walen_cluster_tableset.rst create mode 100644 docs/source/products/data/inaf_walen_mms_tableset.rst create mode 100644 docs/source/products/data/inaf_walen_themis_tableset.rst create mode 100644 docs/source/products/data/infn_saandose_samadha_timeseries.rst create mode 100644 docs/source/products/data/infn_tgndose_samadha_timeseries.rst create mode 100644 docs/source/products/data/ingv_alert_aqu_timeseries.rst create mode 100644 docs/source/products/data/ingv_alert_cts_timeseries.rst create mode 100644 docs/source/products/data/ingv_alert_dur_timeseries.rst create mode 100644 docs/source/products/data/ingv_alert_lmp_timeseries.rst create mode 100644 docs/source/products/data/ingv_autoiono_bbla_timeseries.rst create mode 100644 docs/source/products/data/ingv_autoiono_gibi_timeseries.rst create mode 100644 docs/source/products/data/ingv_autoiono_rome_timeseries.rst create mode 100644 docs/source/products/data/ingv_autoiono_tucu_timeseries.rst create mode 100644 docs/source/products/data/ingv_b_swarm_image.rst create mode 100644 docs/source/products/data/ingv_b_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_be_swarm_image.rst create mode 100644 docs/source/products/data/ingv_be_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_bep_swarm_image.rst create mode 100644 docs/source/products/data/ingv_bep_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_bvect_cses_tableset.rst create mode 100644 docs/source/products/data/ingv_evect_cses_tableset.rst create mode 100644 docs/source/products/data/ingv_field_cses_image.rst create mode 100644 docs/source/products/data/ingv_gic_aqu_timeseries.rst create mode 100644 docs/source/products/data/ingv_gic_cts_timeseries.rst create mode 100644 docs/source/products/data/ingv_gic_dur_timeseries.rst create mode 100644 docs/source/products/data/ingv_gic_int_timeseries.rst create mode 100644 docs/source/products/data/ingv_gic_lmp_timeseries.rst create mode 100644 docs/source/products/data/ingv_gic_wdc_timeseries.rst create mode 100644 docs/source/products/data/ingv_lol_swarm_image.rst create mode 100644 docs/source/products/data/ingv_lol_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_ltmuf_cagliari_tableset.rst create mode 100644 docs/source/products/data/ingv_ltmuf_catania_tableset.rst create mode 100644 docs/source/products/data/ingv_ltmuf_milan_tableset.rst create mode 100644 docs/source/products/data/ingv_ltmuf_rome_tableset.rst create mode 100644 docs/source/products/data/ingv_mag_aqu_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_cts_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_dmc_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_dur_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_int_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_lmp_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_tnb_timeseries.rst create mode 100644 docs/source/products/data/ingv_mag_wdc_timeseries.rst create mode 100644 docs/source/products/data/ingv_magdef_cts_timeseries.rst create mode 100644 docs/source/products/data/ingv_magdef_dur_timeseries.rst create mode 100644 docs/source/products/data/ingv_ncmuf_cagliari_tableset.rst create mode 100644 docs/source/products/data/ingv_ncmuf_catania_tableset.rst create mode 100644 docs/source/products/data/ingv_ncmuf_milan_tableset.rst create mode 100644 docs/source/products/data/ingv_ncmuf_rome_tableset.rst create mode 100644 docs/source/products/data/ingv_ne_swarm_image.rst create mode 100644 docs/source/products/data/ingv_ne_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_plasma_cses_image.rst create mode 100644 docs/source/products/data/ingv_plasma_cses_timeseries.rst create mode 100644 docs/source/products/data/ingv_rodi1hz_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_rodi_swarm_image.rst create mode 100644 docs/source/products/data/ingv_rotei1hz_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_rotei_swarm_image.rst create mode 100644 docs/source/products/data/ingv_roti1hz_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_roti_swarm_image.rst create mode 100644 docs/source/products/data/ingv_sigma_swarm_image.rst create mode 100644 docs/source/products/data/ingv_sigma_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_te_swarm_image.rst create mode 100644 docs/source/products/data/ingv_te_swarm_timeseries.rst create mode 100644 docs/source/products/data/ingv_valiiono_gibi_timeseries.rst create mode 100644 docs/source/products/data/ingv_valiiono_rome_timeseries.rst create mode 100644 docs/source/products/data/uniaq_curr_maigic_image.rst create mode 100644 docs/source/products/data/uniaq_curr_maigic_tableset.rst create mode 100644 docs/source/products/data/uniaq_epmde_emma_timeseries.rst create mode 100644 docs/source/products/data/uniaq_field_maigic_image.rst create mode 100644 docs/source/products/data/uniaq_field_maigic_tableset.rst create mode 100644 docs/source/products/data/uniaq_mag_emma_timeseries.rst create mode 100644 docs/source/products/data/unical_bshockspsd_tableset.rst create mode 100644 docs/source/products/data/unical_bshockssfs_tableset.rst create mode 100644 docs/source/products/data/unical_esp_ace_spectrum.rst create mode 100644 docs/source/products/data/unical_esp_bepc_spectrum.rst create mode 100644 docs/source/products/data/unical_esp_psp_spectrum.rst create mode 100644 docs/source/products/data/unical_esp_solo_spectrum.rst create mode 100644 docs/source/products/data/unical_esp_stra_spectrum.rst create mode 100644 docs/source/products/data/unical_esp_wind_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_ace_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_bepc_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_psp_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_soho_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_solo_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_stra_spectrum.rst create mode 100644 docs/source/products/data/unical_sep_wind_spectrum.rst create mode 100644 docs/source/products/data/unical_sepindices_tableset.rst create mode 100644 docs/source/products/data/unical_septransport_tableset.rst create mode 100644 docs/source/products/data/unical_shockpar_ace_tableset.rst create mode 100644 docs/source/products/data/unical_shockpar_stra_tableset.rst create mode 100644 docs/source/products/data/unical_shockpar_wide_tableset.rst create mode 100644 docs/source/products/data/unical_shockpar_wind_tableset.rst create mode 100644 docs/source/products/data/unict_promin_ws.rst create mode 100644 docs/source/products/data/unipg_gcr_model.rst create mode 100644 docs/source/products/data/unitn_flux_cses_timeseries.rst create mode 100644 docs/source/products/data/unitov_halpha_tsst_image.rst create mode 100644 docs/source/products/data/unitov_icme_tableset.rst create mode 100644 docs/source/products/data/unitov_mag_tsst_image.rst create mode 100644 docs/source/products/data/unitov_pdb_model.rst create mode 100644 docs/source/products/data/unitov_rdparameter_tableset.rst create mode 100644 docs/source/products/data/unitov_vel_tsst_image.rst create mode 100644 docs/source/products/software/inaf_visual_gsm_sw.rst create mode 100644 docs/source/products/software/inaf_visual_mercexo_sw.rst create mode 100644 docs/source/products/software/inaf_visual_tps_sw.rst create mode 100644 docs/source/products/software/ingv_symhfore_sw.rst create mode 100644 docs/source/products/software/unical_euvwaves_sw.rst create mode 100644 docs/source/products/software/unical_visual_spectra_sw.rst create mode 100644 docs/source/products/software/unict_facfil_sw.rst create mode 100644 docs/source/products/software/unict_sunspotclass_sw.rst create mode 100644 docs/source/products/software/unict_visual_photchrom_sw.rst create mode 100644 docs/source/products/software/unige_desat_sw.rst create mode 100644 docs/source/products/software/unige_flarefore_sw.rst create mode 100644 docs/source/products/software/unige_fourierxray_sw.rst create mode 100644 docs/source/products/software/unitov_visual_tsst_sw.rst diff --git a/docs/source/assets/images/logo_ASPIS_prtscrn.png b/docs/source/assets/images/logo_ASPIS_prtscrn.png new file mode 100644 index 0000000000000000000000000000000000000000..9119091504e97e072567bb870ccf2b22fef22356 GIT binary patch literal 70822 zcmeFZ^;=Zy|2~S1MOcJ{3Me5U45%~+Qi61sgmia<1qcI3!;muc07FQZk}@zf42>{! zN;iC;h41(Ie6DlO59bd!`?~ga?=@>Z>&e&ae%<%I_E-705;w0=ULznNxG5zmrbs|= z0Y^Y^ewy$yxN>Q=ISKr6)mBo&fq;Oh5&HXF6bsRP0)htwQeq;?uDZ)(Zm!DPW2dKT zk0XLxU)>_SNce$3oK#Hg>F~WQMGMsUUS3|=8;cdc@zPZlv%Elq8Xf7p63wPkP1L*` zs!UZ2r4sZb;Nx<@-*N3dw{2{{l22U_R*R7o`WXMifk%p$jBo zj5xxpS_78cDmCx__mx?2w1!%(>mWeasG%Zf$ZwFVctG2Y;jFcF$mT9(_`V zYNKlUoH6kH7+)i6oV%ndU?2|NR8Kxb`7ny(~=;anQt2D9oElnbr_-!5-x!U9*j0sj9Hga zoTqCYuaro?AH!nRt}QFLuIfN_TUVz{BskA1JT0h`SLdoK$_{#iudR56xccC6$0hr1 zN7Ie3Wy}I5A9&7wDQLEuB)krj^U)3O>n{D9m%#7ZT8A zk^#`q`>hMTY2~g?Tq}_yGh8ia*Gr-6W`?sYUdx_Riv89*ZfC>d0hixcIjyygYg#s+ z-53q7u=tlvEv}fwpm5eQ=fKqm{0jM`&h{BPkEG0V+}r+jz!fa$^0Z8qdU&6a~z=q-&T`Py{3EAE??ol6=fCwZMldsY)l zsS#|oqwp(^hedCkMvC72YwpIMI14d&=>c)O>0ouG^(Vb1&G1$A<4Dz$lTPCspsfd& z!AJ%+=EhgubhM5flUx6~t*{nG}aJpLCM5P*qxAuQu#DK@o(IUAscO(Y7=ORl9r%MwIhJ zci*34-%8Cc&U-gT?OzY?fECZx$Yr90&3M9Sp8s+;K8TS!_Q~NHe0R2Vsdr{5^*d5O zr&)F?=(NHXo%^=q{4*C1E;~8x#&Up{_%gmeTPK1C!jTqY3E{-v|MotKA~;Vq%SY+b zZ(06Q?Y?x2rT}*fyMF(l2=+*Ee}J!@5L_mBX@b%>6DGaCPn$!nVeMj5U* zW}Cj@&=U9GH;Iec|A;{$?ffaOJbmKuqqb}dWxO22bh~+Jls(D(Uys3|Bh43WB)VHkrpYm zEctsOs;5VnVKjX%9Xv{%M^pFy9oY+0qt<03H$K=-o3f~^`=P3f;xdKUgZgKqE{)XF zYNMtCnfsq}#nBBZhI1P`ig(?61?@wUxLjj`pCgqMr85TV zG&_YtPbVg}iYHFS`KiI(zM+h`0P?XA_mTmtXNG%|!lKBNt>Jj%r&5)>t#fCa<=-te zV^;P*q7WP(8BeAej4y&me_jC_uzD-ul60rWyJqr_=|Ms^;!qDfg)1)qS?^(AdqxNS zr(lZq1rB;4mxR@mb>cf@WF{ez;R#0n?rc=m_N6^wyS$U=(6J2rO7%j|`8$XdKNc6r z_=ljKFd?*N;ne{x$RA=1_n%KI9@36uITBl|vnxrRXl7&MDrfI%Vr4?FbKS*(Dbad+8tW{vgI7K`qcJOZHyMC>LQn1JBBJ};1@>wk*b zGp2VGa&2B()IOLVHNwVks3x3>+|S*b{WfuJo;x46vy zRDR9hW?`#Ms7m_yECZbd?dbnxpver^1{G)l3hB)jTTfZE2Ckk3Gy*!mk$Tc~#sR2T zuY&DwLVpVTG6K*A{<;_d0yIwk1moMO1??ZPp61^&KAQrWz#>2CZGV)Y#o19OQT^ZT&YDh`h|@$E>pThSH$MCQ-xKNgZ8*;s zo{%rn0(u$2d9e!dL8$X#{!Qi)+)Tajv$4^G_O-Z^bDz_NM*cXTZrlkogzhH1`afWc z?kTrgU3y4H;=jS_e+6NS%ep!JYy%QJ6b0GVew!EjyDh65h9wlV-5x$0kT409uyTaF z8{s4uJ#czvXS?mAFL*k_r-%AKPrnAe8rq&6GM;AOaVk1nabZb?e5h{(gd|`_(#>~8 z!H;}C*|)-*&!R8EXDB|Wm!XE>)s0$8=`X#l{8LfIn6smP@ha;j{e~f3Hi;2I*iOOY z_W&;N!~8;bZ0cJ6a|3v|VMqhXc6biD!I+T&+4XNOra{2^90&jj{E?!ChyTg;J}8<4qb*;U;6xTUE?Di(_dDI^Z%G!iiyk;W!FhF%yRF>R z>bF8iH1T4nppg)sx4tgXD0%;o2X>9`iH>K5T48kB_J}hRIL5j|k`AS7YBq9J*T@9_ zCEJVVKo|9Q`N(3!Vk8*{T=Ko8M|LA)3tMnL_ErB5#jVkMA>S-=+?Dcm{V6=YMrzd? zj#<@tysDDkSx8`K>)MU>?x%uwnL-c?j*tfg)YdVJW*R#?)uyJVc)LL zW=WSp+peGWZVSsS*ggN<&HFd6FFcZa-;yDH7BpY6Uv!<@<3Jg<^KvfedOM@J5v#7b zcz7DVqfUl)`Ct&8IxEfZ8Vdu1%Mgkk}7U za%hKLmc+-}D zmS2Q#0VJwgYF0tvR;X@;VbwNn)?bP}k{aHwr;SYJ>)7nv+#S#0X_0}+QFHi{1;u+W ziZ;`~+@a0lMg}+^%)E#VlaP8}ayH@N>RmSoEAbh#sI7jJ_A}UY2an-?mEnjFHg^0> zkttv){#Uerb+STp40nvv)rU5_a61?TeI>Qi;$kibo{pYAl$&nvdl^b2+(;G^-GnfZ z`9$a8Sa}Z{kE~~Mo0SA{7FB6Alx|ElFz#j#<|2H^>JXM)E&=xN%airsi%mcRG3<&nl+%NA8J=L2Uyq)y7w6f zxYyqbbn@km7YZA#QPi#uSIUgV7nFL*eSKTGXD`*$F~!-GTrC!Cp{F38gMI0+XOuSV zxUOMxcEG#XlR!f#CihYJvm2BgFZSEo8JlNz)kTB<{Ye5RfQPyaZtk&A2}d~%pW48edvA-At5e>av6%9rO)J-V|jd+j@yx^G7_ z3YdtTff3)ydKiw}S*41G3+X*`@1zUvsrUo^>U8Z%nOjKASc&w01z!1J5$4qq=so+& z80xP$(F|onPKk33ua+POKIOn@!u#$D>KQ&(QSBgiF|bBR<~Qq6E$$4UPBvIglB@0v z)Yw;5V)qC^aWxMAL#Kwu_uj1^OKOki(OSQ{kempCm3Qh2`5cz!fvSg&D0}yg>~mHW z+#c>9jAfG-qs9&zY&@tXit{_nO9t|HF&Q0oElbcj`}udO)b>Wa--cRymR@Q5P+-vg z1GK@fG;J%_jfYOVTZX+72;h(T7giR z2tVXL%XYLSRO*=+ow^-NxYFi(L$ob4q{j7j?vME+Luu9$H59uRee-d~7ioF;m}i`M zYB-ZhpvGQ(vJXxfsk2I_*hbk--Uh!@kM4#qN>`VSW60}%{~P6R5Gt}TW#jtd$CO~> z=6;PczClYpxOoNE(-CAJ9!8eW{t=}i zZ)@r{4bhg9#QFU}Ht0>v`F`d7jAho>x*DFZD#Lp--JsAxAbt-#KDnH$DiL9$X8xp8 z!&;maU05P(V>xKl?7rtVv2(EV1%=B$@M1?4-U@H|9nI5rmRaEd>3mGJjIjB_W7j9f z5P~pmCS?a;)LPGZy3}BezZ3)aOB>NejoJ8!3UpjX^S4H4E@TQ$M?E~+JD7vgSQt2` zzTAtb4?=Y;!Cwi{eU_Y| zO%K?r+H4~`3ljhs62Y%GXHC1Sc@8=%^b}Ox5j~d3b|t^YZdGOziF68<|AjMrNm8^8 ze~;!{4~0}j%0@%KIXtZ~a$Q>H>bTY1q``5i4)5UT6iD?LK4&#+88voH>Mm;mA3&rhtc`|ANT!93yauPu-`o27TPl_yY6@`d46L$_*9 zPAE;}<#LSM5e55e9e{oq)Q%ca>Te*NrK?e;n@E(YMq>sZU$pPTMDvV5unC&O$(UJ0 zi7{6S2xz7~xl8Tj$EK)L;imifoQA{@{JwMhT1QRezo0Kx;is1)wCWRJ`(N!4z60>bx>)ky^fF{5%*C14dYb)2K1 zDh)zH+uQe5914E%vsyYnUsIjQzcRh(6iX-NZ;eXkT1u7o{*LJ1%&&?m^9%pX9eRz!Q8CsR~9GhrEG#rHyrM8vT|FflpH>U?MO-` z=U4NzVP7%}cAfH#D$Bk=mRiFE z?t+Y*7hL;|TK|1%FmiZ1V@+)$TyaxWF}Lm{Vg&oUVRBi~tJlPX(Oq%|Mrl#fh-8N*qp*HA?*u1A0^-Rc^FYPpds@-k2-aS z#)M8jgh$+}DH2W#k-qAdO%#ntZK*H^I~1x6$>lv7R8_pT?!##0-~M`Cq%IM+9^kqh zy|jfH-ZrLEl@>b6cCWfz_c2MyHVmTLDEvnguKQ%=RDRMOdUJXZx>Hly%<@V3$7+={ zHVO5E!vRYQ_I@g0UoI4t-MLvFSkej-9#3!G`(`?0%UM%a#0!Zv>v8K4qc>6mX(V~P zD~k)?YVwrd$A_F8InFksKW_;v%Rx}sY-n2o%tFpf`Aqcbv~$f?8(+IZ;~_pU{s(%t zc;u&&lHyj&-51+DNFNY#7){sU$1Xi9uem}M zO=leQ@#GAyX2ZnWE~rDtHAn5aBB+DZR&E}nKYOXWcbre3OUMC7D;D|fux(^XSy98P znPW1sMK!KFC4o9>(ei-NXrv1|ia!`}^J)%QO&Dd@RxgdJ{o)-M(N`$z9-?dNS=uB^ z+^9n%r*^&RA?ju){2RZj+moki2@Joe9@a-z`vhy(gcKZogFrw-sQpcLP|&I@SL*>p zV3~zzoB-1AHI4oS zQ;Q{M>>DxTLk=ZC${JHeP^}y)AB~5$mqS4g6Pm)304kG=+@?1(^NZnt>)@z8JM6;YBq(Ss3r0GQm(VuAB0<*S;{g&9<;^9@U@)Na3(Qj|X62rT}q26`); z8+1ndiY;feXdo-YP1;?Bd*!?&Tg@&RQz>cJ5P=Nw&_gR*t}`o?Qa}kL7Zs4(d0t&) z8u_8Ev!m(6x5(vmA|Or4Ei#a1c}Dm*lCzZwCt|CP83*hzao$ogWEN#@*-82L?&cll z^DL@?=R*#AijCof_(i9z<%Zxt==xP*S-7jvQ0w zgHp1>oY8FyfTv8Fk9oH|o%YzZ{eJaF<%S{i8kKT4=fc0 zcfw*|vZ}@L6^O<_o&&kI?3R)}i0i3<95oN5**%DpI~-*Wgmj}2;ffFqHUOZ~^j_OR zA^;Qj1RR-EjGXGq+f1(=8>Tjq>Py3;6~tE!96l3vuVks&xWr=wj}|h&zUH}fnwPLJ zvB66WT6zh$r$*)ooh0h1?U>(r57Zj}sQ8)o79KpF3600>+2}-Yiyd@W2WG30szo$9D zvN?djDZMi%dqWm11;2**j<)Q})oV=};Rgvy4J~~wM=abO- zTDiOpLTh&I@^9i-P&(zYx+e4ny!|3rmJ4UeU{UWwd%TySGTK$AaMRn#Y2f#`qESc) zv(IXt!s##3G}Q3%H}@*UdmC1TGUPbbn*&FS3WW-eiW(}=%*RmBOyzRPg?sRm>3eKJ z!vnv-qi|%2824)wHcaj@l}AOy7bpuf<2COF7at@Blp!|nw zf1|bps}Pd&;B=}~?J`LzO7y-pTx8|R6Rv1si=g-R2JMkMgTBoG%6_}04u%)G%jWqC zL@Q&exKTE6)OZ%}Vn3)y6h(%srd(|~4&|vQw5{^!!&^quJ3aSF4W!o?gfq421}(-Z(mWSBkpQJ>t*gdUNTkg!mKoWwY>z%)Mn}S5fhY!sB;)W|A217$ z2qUE!TC5Npg}!gH)d>K!%!ylgT7ntbeI?MvcSiF0NcnxRjh+9B!f3v6Gre(hu#RT9 zhH(NqLtnoJs~Wn2YTxJ}o46GbD^f`F5J10;YUe7C8B6vx7`68BV5iyWmJL%!cnZB% z(wWL9erJX^uzXA)XMazjF0h22x@x}D_>Ka=q|6hgiqye;?O~x$F-&_lGcu>qJi;Vf zj@;QTL(@ELKxWXc*%36^d(6bGXJ@yLVLke8sqrKhs=^&leNr}pTN0uIX{$;I2>PnHH zQQZPyz-L|npm@e43$;-tf_pMssRYb(E!U>ZPUim)yX6|6e||b z#c>==I`aUiN!nS6%J_qSL@h^@6+=yIM%yQ_SJTy;OZ zUK5-O(Q))a!D#(^OoyI%^L$JGi_YiBl!Esi1AY7dL^qPVj5yNvamBQ7;`|pNY|?mC z^f=s$wHsV;?gOf8>hXvwg060`=&iiH=DDWfuJHnueBDg?Y=b#3d!GYd#;K_&LFZa} zribsV?XUZoCVQ}&>W_VLB&2b72!BK#XZaTyj(~3`pBgN?;VzoM{hg>(>hhRA-2GPdWN_D#|z8; zTC5Nlrba|jln}1&v_lfo(F5`~-fzXQUEhYtmE5!iM2 zfwc$k_GWLVR}=yd)@;I?-$c9O*D16H2qI+Q7Po4xb;waT zY~@z^+*864mW>ZUoXyT&?7G4Patb82C6K0;VK#WXv$+SkV@9 z4A~wiB)(Mkm_XDBAO*G^x#RG@V0pM#9O@z+P1j#oC`Q{|PVH`af9TZFF9gG%<1Q;f zrPnmTMcD+$Q>AzevE_OTr3%9b+V7TLf`RURvZtQaBs$Up4h;^x2*c0@7k)DoVJEq@ z^TT4ozwF|XjO|p`S7|AB`SGi5ScS&LBHZtOLp4AKT&NA7NOrZzxus|is8IzluW^QA zv7v1{C{)!5pbj?KYU|;DK4C3FjyyQW4Z0yc7?5dyvKVpt%YSOgoZfZPVqN8-%6Pvq z*{|vD62LC@K!yPIk;62Z*6dRNp6@k1NsC7Y^eS&>0K7{t#d_uBcGoNGV=0+dm7Qq^ z1}UlRh$w^r?&XEaN#7dNd6jmA3xddsgX?N5d}qVw1)#tb*7O zz!c#`tZyH?pgC^JD4N%1Q0w-wvgt@EvUaXsrKxWih%KsR$u3X6?N+ir_53s0L0Pu75vIkzxm9>mAGvbBlsZ z6mw2P8Gpu`tz|K);P8Z}wSRrX1=wu-jnBhiGsTAG>um>=t}$^Kijl;$IW_vz4n))~ zJ9(Z^==DXBCCo*!B3wQ~)M$XNb_J0rsO|FxKyk^RRj5>#4PFGplPXm#odet=Fx@

OAn)8DEBd_PP6P|+^sZJE%)6ZCR6ZhVWE z=!zTO!LjA;1P8vL;8ZwKm3&Q~t70nwCV&o249|>bt19ROytCMCj8iN?_oGXgOm;x# zGeZ3AkGJdEWklTiHpFyW|7-p*Q9>H(5il~8ir${!pvd#*uU{6 zdX!s3Tap`7>}y>;O_`7@AwWKI>DeT(oY>Ey`|SVd0O*-pUCcdM&VqFvEa~@oU?LGk zw9MmJ;+zF|Oa#}VUx0?|(qEN@PcuGINY?VQ{hb<3A+rG|ugBz4UTA)seIvB@q4wWo z)QSgpuVeq0Q#pswMC<0i-2-xg+g%Q)CV-7n!&%8IS;SNLe*xo@Z+Y7qL7(W;{Ax&1 zo$nlhucT-N(d`*6)hrNbfq!8zo6K|+9#+?1oac>Xb{=O}lY7TPCYRtA6|VS1qA{tz zW5>S#o>2Ngvx#QAQ=uOC4**uJPQnJ_lV5w0oab&UU56IdK z%nOyewWgFck;KG0P{ADT--e-D?qK$dcBC!+ys^a$0LFTgUStaY@NIg)azbjnSSX`z>Ueb0iP z`oQ*FgN2-1I@`g5PI%hR+bU^hR4^=LYx(p}yo1ss%MucV12 zm-V||8FUsM9KHPL7ihO1ouCGT(_@?n%XP*eQfgwvYKYUsV(|!o5Oqhs#eQ$w;v8oo zBamFaB_LZJqFI0{O!Y+@@GRjF-P3F|pDU#i7*xz`GTekoAU{w^N2&mi+}!pLhq``~ zDORB4DJm)Qx10s|(M2E^|58(Nk-uK&lQ&lmIC3lM4|xic=)BH6)k>>KdM3bra{v~g z;e$Q(d1_fc6-cI}?N8Id1^+(jT)7#qQtOlsvW&xYOoCYqBY3GXm3kG`4TY_tus8gU3Lginea1(e9=DErY7rE~<_BiPEIdwu6jyY* zE7x+$s#dx_>WW4p1k`Sa)@gzoVwQ25$jc|sew#*flv#cOFNhwkr)6Yg6STB(3w88D z%k0(|c&WFdR(lfCx453C%3%BFT}K^CpNtguTIu0NvF4P9~bLf&sjQ^2$D;} z^IT5-RaE7jj;-3240n!+Mpb3Dyfk#(_EL?n0>GD?60=PRG;Py~=)2zRH=A@C1d$?GJMoYw?U-gGaC z(Dlp9s{@8UZYtrs(!XyzG%p^(YUjc0$0B^ZMDwVr-S_pDO03(69Qc%9zV~g>ky|)>m|47Pc{;F=DUb_@{-VYw@yKtCfN$re zbU8ToCN_fBjl(S$V9YyYCfqILAD5fv+;nNjg<=If&)E=}#3YRQ57h2;3)FQxoVtQh z?@^x=$A+0JEm-{0$~;ftYbsVjV+`v3l@a^+$`uJg7T#|!--H8sRh0ryhCrs6WorO& zcsIUKkMl`l`d1j56aTFMz-OR;LGT;-u<(6i3Q#B^nUU(3-0MT;t=8IWUdoCYbEo_H z8M2rtdJs%sgJ4?NJVbDL6HQ#UP}X^zOrM=rBwi)x6=^^(8~02Xl`rJ@+M|8m(d(p9 zqZxSU8Xse}pDnIfs|@*$?#+Y%^ons$6;k?VcEt8ARDDQWtC3oQzt@%DMg z#b;1yGG!jj2ZQm^!`hJh^E@(E}Zj{?81TShrfyPLt)a(|4(~9YYwF;1?$}gmfubK9 z)=9*wzN5sD`NjFJhJ;o&sLBAP=F798^=dY+Fiw>tTgl4Jo13MVfMETBvlz;UP9&%I)VV+HEY2ii>_5; z`RTZm(b$mOPAu=+R;jN^_%hnV_mC(Jw3&9(xa5P2EI%){90A zkLg`Q&a&7Y0^csA_7$jnqCH)D1fx+-U=VRDwz+ZOtTh(GOa0VG*xb%R4fbNSuwJ#tFFlG5$9)$%`#rf9{Xu7feHkW>UEM;{lh3InNJPQ#Q z^BTGiO6D9;3;ri(IZWMRpr_T0x<^2wU2;>_eYpuoF9l%LXHSNW52K~aifDX#kQ|W0 zURB{Q5j?0=$iMKnb=W356V(d8!cB$x_yU;M`)P%qLMHP4G*BM~mJPpB%w1u9JzRH8 z14vSao5yN)pgND_ou!xNCV)RMQ7a?j;*t)B#50}spzl7v`9_N*GFiA8nj8|W@27+8 zyXpXn><{0yiNk8rCC?P{3m}eKfcWsqo5fY@SRCj84R9|5fc`;M#SC;ks+(2+m=b0H zr9q5oeJ%y25fXZN&J%p@x_@7=&r445iBwK*o*J+V*@?Sq9&avjv)ZJpIWI@@2e)-> zVF(E3iD%piHJ6?P%*?Q zI{FGU_}SkkUzsW}LJQ8ILTp!%G0z)G0cJdisE4dTh6IFhR<9W}%idSbxz6C_P}wDU zofMNRZP#ZP%Cq;A@R4a^$5Sm6YtX>`<@1lHE!ouoESquOjYXcjn_!C4klVf9IR5?xAX}!_wSm_;VE=iT>VC@K1{xeVj+| z?*=#T3p4(3a>Q&e)Va$D%-t&SYo!@E`7J51!I1-Mv3OE~2hHI9UESrP?`co^;8%ck zp$8xyX2YXb4qQfOq;UB#+$-8+c?JWjB4hq#P4j^q1Cw_s7n8Z%(;xkU(WultB9g`{v{=-n0)Kp7a=LH@UL>P^( zcZp(n1h9^gh%n*==K*bDI_3gu@c%lmh<-zq7hUoor-{F1H~PCb)*s8eX#<$c^T#I* z3XDF<1j6A(WXYM)gw=_jjGT&AqxM7uq#y0Q?f|%0VzX&w%%1`XrpN8oigCB=3_|?c z|9vmfwqlP!B7xIH((TEpQFBAihyoha+1Y^p=h+wnnTgAJ@kNwTyirJf&m_xcNt2vU zWuCfaEY}jRl)tww0SWU`*-8(suJ@S3(PHII(h}2Qc^%h*1zv|={IKZ0(|$YP(Mi=N zPOZ@|hSbG;nh7Cl;vK;OogK<3>uQbvi?%kcFN}F(ch7+2IDj>>?&N@N zNHNt#U!H*Q5@ws=zv=^j0mvDhHQZU(g~3T1KHhl&+)_w!TJ%SyRTzE}@0@)QF_B$3 zwKm&mLQxSE_2N(*M#SPTWSTu_S2s-L&MxiOX*A;{i#Gw*neE?qoz6X=GGZ6(TpH}| zX8<8a?Oxl!$;mlvl3+i)W~NF^x|!=ab88_nvyZ3B!~f z8%V0n&9cMAQYu}uy zWvAf;Uln|GXR!p#J0Q$e0dC--j0EJm(%VW=z}nn}&|yPr;f52p>XA-JsiMPl1dtjK zoHprzslzI$zbs#S&5g^Y-q^hYcy}fX#f*&PgKs?NeG3NkU9!qkF)Z<*!qRQ|iv`Tm zU7Ph|juNZ|4L2PDAuy|n{#U-ea%XuZ51gps%{AKCbp?iu>BU&~lW{NwBfp4MYG=BV z(oTvV8=D_w*M)I2wNZTmbQ_(?q4&y!cW5PV&FPnGA0W0pxI>4kj~GetfND#vvJ5aU zbT^9KTBwozWx6)aqMUQFX247QDOGz{L2u`y`L3WDkW(c)6i!C9KB?XT0rWrFqP;ss zk@Fh2TZcWc>%=1U^=+6GM}A=;E`(~I-ej1e=slLG>UA3eH4$Eu*XMBkrJr2Kk2jGV z-ujKXmx&2P?dBGR;=||{fYmCFw7$!#jg1@muxfS+y$RQ9I${b7uk)R$b4-3HRy!leL_K z&eFui6{k23Uy)JAp)UuR>|Z03Eo4EniSNV%UPW3+{g?3?Ww%f)%}Dt1$h7R^8^!ydiH!Q{uX9-Ck zfeI_5y$Z7R=|BBuf85A|UMlg~JRSMIG0%!K1C|#U(eLSX9>o1L`{~~t-HZ2E&?e)E(F3)amP_S#m)HdH?hrQ_B2uh6YA+ z4^q+d_sn2|%s>fvjIDh*-Bej|zzQVpcg+tCW!se(W8FZrK!mOHeqku}&)CJx5=tx! zSTn=!>f3#rlR{W>VR&E#3ofr@Nu^>*4Se9x-c1SwF0+k<_)nVTEY72-=nG50V*#)k zc<(r=hQQDSIu8wOi+B3&_W7p*Sp{goTzLH$t#X;xg=3#Jpq6&71)*>cfzS@DUHz+G z(oiM$au%d~i&6NSp`z=6x6^-8iYXaMKVxaV1`?vG zm`Mt?NJ1PM*m@c8bv^R1Dqiq9U*y*~7921{iUW};)~*g{a#_nqe^!sn=Y-mT@(bi7 z3}Q=VhNemeP(coNlmUII(DuP6eqCWEu|S&wUuW7(2YryUSc=Oo%N(P+In;CuQ`q*Ph1w zLMG7!>&$mmU@-zTOjai9H3WF5?gF|HVc$bddiVkQx+hgsCUOZ-BnQe5W-2TH^oR*AJgGv>VVQZZ=NSArI;mI~go{Ynih;wO z5|Gx+`N}n%7&>E-Sz+7@D8#ePmb343-~q9&v%@&>+2;>`EaL;v8Hj?$d3VR%_V;0* z$QdKf&fcH}7LD5`y6NpwCcpv5IALEkOyq6a?9KFY#+!jYQ~@}9p02mfzRXECy2H$X zl#ja|GyiVCO<~{C*>GkFXl|iDb!ef<3`;%0loZ!!drVaIz(d~^4g;qpaER?w)#zumyM?XpjjPRnmZx2fT|Ld7>xk3{}%m^JT=?; zJXx1&odaAeB_7FKhRKll3@CpVhGTMv&vH=F26X3X%Lz0_hd34=04R3^@YH}#ceX=L zzGs%HI~b?`l^p2W`SDFDu@G<0$N@YCKQ<0{~BRhK~!t_Z1c)k5qwB9|_d;Gf#}) z>ptBIwuz#8c*r-S__UAvyO&DT+s05GvvQtnU;fqX-1w9nb}wtmCSZ$OgS!@%0@iK% z(-O!b;CIM#afTKJi@=92e3Or75^Vufq?H|#F$P#OZn+>vtL^*!+Q+JrtCe7w!pmPV z_K;ZyOlkAp>p;2oXL#R8z!H>xiU%RBLFXEa^Ef&hQGzvJ0w#lhUH||gAghDb@?2z6 z@lUFoD6pM#iYtD@uRsVI&w@(r`L1I1Q55RCO}iq0hLDOij&}}#x=Do zZKpYKJ3VD>&u~yZ1ICGY(fYbeRlPn*O~+MNuo#^wFa*Nh7((aYm0@*N9^t(`p!V&b22v%x-$}ui_QZHmgYK z*!^~%xx=wH#lo0x_FgPS;od3NOXR;Rpt7^(PC0c*WZg8b=1ZI)2PTUBl}q2+X5&ec9q?+5QBUSAFSCQJAY;wn&{x zskxf#b9Yi!56_1~zbFZ+Mg8B6lwC24&YSJb{bGV7o17m=U~3gWvT^v{I}TL3W^(Yp zUySDEYyN_1Nm4Jx6# zmFZ5M*ShEfih3T6R#aa;n3AbfrkhCV{!2tIQ*6q4o9@PeTjh)Skb@5mulEIDO?lJG zjZZRrw9~y>e7;NVAY3%Atoi;bC=8qM4tSsbx}3TuZD38{-#g*y0h7Ee`x5g(#irge z#c$u3amE#v>0RO97L@(?RcQD5HBO{iewa_yzA?3KM1HQgxut8KkX+e;P8Yq=Jxcy{ zxk@8DHT*4-+cClpQG!GFMIx4m`1YX*x#)sADRpIH!Bln8>xN)n3%c^LE$d*EjsbT_r+Et;v%N5tUt^^Koa#cu$AbaCG_BSyUBP8=1wCHrT;V1f7(e%k6wIi` zje*~Dw!HX3u@SIT11_Hos<2QTIAbJ!}H+( zixSbwxkmN5wy^*PAM>iJ?`VxNj_BVW9nYX1|59vXfp{H8RZO~jyY~Bjm>;Wd40ffl zuq?v%K=B4P_gb)KjYz~aMHR=xv;G@KTKX?dedH_AE!?)@i+K!+fBHvDA^K`_%T!AZ zbz`1`IXYmIO!>rLPuvm2a+{A?pocCmMJ^>jcrx<@agKkG5aoof`D?awO(#6pBW@@_ z?(O#>Mnkf^RH?AV{ZrZSs%jkl@qkZQ)Yb*;*?8a-GSLlAak`)S25k{6cDpOgn9By2 z;>aw<;*K7wCBH3D7y`Sbddq>4oi(FEv($N&aJl*#bIEm`Td#+c^&YY;tP?+2PNb|K zD`QD=-HA9o*0!9FksMffqh`jb>1ls$^?lzF`6tCbVybg%z7M(Hs8a-PoQS!_P5R`Y z?Mrf$Bs*Xjv!WLFM!Tk$OQnX-z9x8*wTgPlPTy9e*=My=U#zQBxMOEzeCthl2P3wlx>*?2xI_ zY23tJitA>?)V+3K*hXx93dVdej<{=dWZiYyfLTidO#Iv8)?4hgdiai!$eIY+^So@g zW^f;+D~mFQleK;->D$_xy(+f!EP8Q%m-CC)Tlc^1ueq3#5}f_mp>%Xe`Jau_FR5Dg z#bWceLI$quC?H5p3*@*k@TS=#g{8~p#6x`CcRXWdf^SNk98Z|$hkbfum_=P}c2Cuf zLea*1XOL&$IrEjQ6@jjzmYAr@(fKX+BX7LiotXLga4GMS9=e+93zv~UevmBKoqp)E zA(aamB8+igc{j&+#NjTT!qoGK?n%rnvx;Y~f%@89q4VtYHI(1gzZSx`!O39>*Gdt2 z>y6F4cuqJegM?b*WLy7aOF@*waI5Q@o&ujYRzIVFiJd)Wr)uP|TDa9UFRACZ*x5uCte@)SM7#WaSFFtdjmFsEBKEJ%E)hTFPKt&z+XP%9 zvs=mZdEBQO>Kz;PK<_c$UIvt{(B%EJJsx^;~y9=5wB3^_1K6VsWV!LB03PYuoi}}-;u&J-u>Im7s zRA%NwI**q{_6_<3ZOmyBUG7j1h&+rV@I~2OWn^KY)6*Ax)8NweIpBA1lsDD$nPl=o zq*glEN-{L{rCwh?Wp)T2tk1-+-&Mt;a&T0C)^Uk9i!&bma5$6>=Frft7`U7Ma3^N* zig-y4*~cm?zv1sRI-FA3wFG6zd#Q}vMC;lm{xMA*LYUD|Fl|yW=z`$aQsbFY|s^afDllWCW$`z+HM>O+QYr zhdSX2;DmpwvQb0ar4!`2bm_}$0$+ve(RgD6&i!j{f#W4B-9lwHq{{lQX?`>@1jx#y z4m}9=^7?~c5Gj5-CL<%RU^mv09D`r0>Lcg-)3>`JhCFyA6#n>QZ284V%Jp-Pd~Eu4 z#NV>5W&lxeU~MpH%wO&s`Wt&i-Rd*_-%}VTt4==LrjN#7faErMJ1Mx-FZinAy}9Dj z9>73280dv^W#%tbVfh7pfH*<4S|9A+di=2X&v=SQ`eT#(&Z;#c_iy{Xsd0wV{8zGx z%s1f?Ub_L0{QnP4Ul|r<_kE2;NOyxG41$Ef(4}-EA{`PS`#!Pv+H0+S*wUe{zK?cFD}J&b`8DR9SB}YLK}&kgmC@;# z>>Zo5?10ST?_})Sj5PH%{xs2as}MZ)0Lz42193Y3^9!G!OM9NSIk(;)RPgWY&^`l; zgqHRXgOG&R>j!byCI4&z&{c2_-YY%a_q1NAoLpQtQq|OPf!R)lE0#M7oLrIC=U{&H z{`;XV<~n}MzyFI|V=c~#nTGGjorR^S?;O}#m2>xJv|+J7`J)2{x&|)i%s*SPP>=B8j4A3uzZ&vgx@kp(1{X~Hfg;i2 zU`;NqFnJ`)3qA%e-bfCeAhZ^Ax4ri!Tt45*=tCbb+IgVQL?(sK-fzF#HE%1hdXTN? z*|xa4q=d+d^l^Q3N*9@vtkK?*$w`EF69UtG-3(6oZB1(uZ_92`njmGnhq!8D(tY{c zUKbrp$EpC{{RMsNOblzZAyb2@-$uA-@NH`u+zBfT`&QTI`NvGtwN931xveuYW+7e0 z`7Cy2%_->z>wG#~xn{6YQx}lgRO$r0!$BY+?LPrD3DKL#OR1NU( z!}`uoiFrJ`ZIxaSKS9EKC|k4YEdR!pqgd+00DU~%_fK7TJ?V9(cemG3@0O6WO1_pwJ=XTh-v!K`mrm<)Kr$^mSs3i5&KgvUR)3cb#JD_{8USQwja>^=#js` zGK_p52ohU8Bc+EoOJ2!LAm=l@Q6`Af`#@yzX?XX|HjR?b!NM-SQ@Z#7tLM4j#J~#n zP-SLmmK|-WT>%ZBc~7=)!qwT_!jL)r%~A77@ZYB2bl1&yXX}F^+SK2d&M4G5dhjN} zN&s}Ac=XJ!*}!P+_#B-vkF_^a`hyA^Qp0LrYCNQWQd;K+*|ck91FM>N*(E-G;F~z= zFT#mh8dmpc=L1p(N8{l!B3=Q#{evw#`iuq!vWOgzejXq*qE`nUk*A^p-Yn?i*BDs>>K+j-Xvl9a%4pU$**?b*yi z;>(2#JCXCT)@}UirFMg^o#*z*xZAUPp0D6FL5Yb^SGqJ!nQmTbp@n+BaJI9`d2PS1 zQLSR}_eu}Gl>;`~s#9%U0GmWv11ui!`q zk4Zi;V!~H2W2s`jpkc*{@)AFIs8nAnIr`5TgQkW)0zE)n`+zw1tpC9hWap2{+ zM|)TEpf*=fQ0SN8&197XOUv%_8{QDnCp|AF;i=Z+coS#~JDhVn*}*syX!}xUsun*H zIfd4iKjWtYTr@}UWor#c5d`YO^tKHm!4!TW4UzRQQ|>cX!4EpOKhM=8qZz03ho>}R_hd0VuglCxJw(R8`h+cAm+vX! zWL$|2bnAmOGQ^Za+N^Un$-dM7a*}v=VXCe`!8|i10L+;o^)V3=WJ=DHwozMMu}eo6 z@tUh?!71>tczD_hBQlq$nQGb zbabzor+lzo#yk&cW^28>ZDiL(M1nEVs60F~&3Nt}7k0653@^@(x6C>Fy6lHe^KXTV zpS#4HQ@9@J$m9S??|LRy1#v1(|_t3$3><}Wq#tBHYS~- z#r)*-6A?1Y!SQ2)=Xc3$@t1xD(*G z=gAY~){9tFSj{W-cgf%~pBcSIw?=!;QEM`0^cQd?Y8VE#x9mCkcUzn^dcv-1ciwNy zmxt88fNk;(9*reVZx1j28teIT4DaMS=RlTX%p1czN%`oN0Y2nFpX`yJ$+uFL97TVt z?X7@aT8T326^VLNZVXT1e)C`)4g1fd|y|elJ3{AL5b<+PNL%7j0Jw$KA|byqC|NAn(E0^ zOZmUxEs#$^h{=@Gi^z0J02{%go>AZ~xOsiDn5UYZ zO#;XMcUK@o-J%dr`K41a?O%AiVW4t9+7sSWr?~iuTd!{c*6M%@S`AG(J~xnyy2D3~ zS2!J$dMECN*DMRyLj8OjTv>}))g8m|2&3~Y`5NwxlA{hay!fp{4N|VYv8&+k5mG+Z z<&nqT?VCTI!%S)*y_&3VGiBjT(3Nl`ad}X{BIq9D^N7>WfQ4Ja_ld0fbG9&oblVoC zl5YtdSGyv6jk$0Aq>lgFQCC!8c9SS_-`UCic=aq3z@2BzcL!@MiNSl{5~~QVQuWf9;KR$a8zCm^-bmC_No*U{%S)R3R=QWjS_g2q;ID`gWI74Zt@c#q?WV zT9Vm8Afs$ae+$W;G71nB-%lA~LcsZb7!Myq-OR7$oT)^EI1oY>^9-0sD&Dw$hrd5G zumfB8v26n$WWJ^Rw32}L2VY}$MaOQQGsSgJ)=CEQskCA?oqi&(e(%|7?NFHg@}wdc z6dQIrwMg-|rH1h|RY$~sbf3j$m`u1jPCs%BcLi#>g-stF3z=`B;2?y%c zE(=V~TksRwI(wphuy|tP(vL*JjV6`$gr@sO2C=8?{&Y90^e)@OXCJ}x?;jk0f6pN} zPa_=WDu&YyDiddULe||$Bg@yyRKp!VL1nlUuk%HkwkYImBaD{^B5z#g^SgWW!H(X; zryKipVAzKZj~l-6z@Cr3AAcAZe{51UsB>9GV&8YyFN|UNGvp97h&}lnK z{mCalB|HE3ZiGc0mTwgQDNjdWS(Sj>CL7X!{otLj*GtczIeQcPM+Y*;CAL$SyGr#P z+Qp2#`jZ{PMlY59dlU_l^)1yd5sv zTcG;vq1-9FsbtlqupJ6lZ+ZW^TtyZ!PIUNNnCoAT%m`!c>VxjkPpQhVfA?%sZ_tr3 z(4w;=ZEklOO(oAX4z6djLZ-9Ja>li_-CpL?XKtIVUDC_7gM;1<{WpglpOqK?=1`n%8X2$9b{rFc1t5gLlz?Nur%hC4jJ@k;JNu^^{o)=-U& z*4>4?yN{$RT@$s`LM!0Noji~oVoSnTfEDq?wg~d&V!nAN(8=L)s^XR0Ppy)J4=RSkD zXgIn$=E*yQxO47taeqDgYo_uWo_aPE((7W=4T>GsT92_g*&f4NMnBF?mVaYxMMZT+ zye4W6HldurF};A0NV8vNoO^Bk!t%xFLCsqI5L0&2M=z#W@}9;*g~*$TJXxxT;#1N? zZ*6vF7dOZioYH3NY-ZJras4|Ra4Vi1G1$q93c$JnQFdRrl<|G04Y_^C;u*CgRBv`6 zd8A3Bm*_g3WG|ZFDOi=P#-b!xEQ#fpgU#8OYU!=p=cX^4|5T>JbgD^#n~eNn)n|yO*yke>TG9d`hJDRb^}L=|gdw=!rD{uJEZ!8W2Ns zrj7QJ_V3IN8Il+4>-7*Q#u7Xb(qArW{!v=>>5&zv%N;)2zeWtdHEGAaJk$86IbW&T zYxP#&VQpB(?yKGFH`BV4!LMC+bDwRbJGRiTj({`|FG~0yA=L96P~e9ZoBYN_Ux=FM z$V(_|I0G^{yqYu!Q!d%y=L;0ix*}HQhseP^gPJEPC&WfDO_2iw9Oq2G8h2HO$PrbIuX7Jh3Qt?dNYcr~f>2OH%y%SN6svWadjeVkU@@Qz4`ZQ6lkM8}5 zY2{n*d*Rr-L;BeZc6t^>N}3~Qa*^Kqvni^G%za!c(@V&*91l*pjNJq)*zR%ZsDa81p)hs?=H6B#4t6f}G0#$1%`@7lh zD^AhzMZu=^gq?^IRA^Pfnx}wlQOzDV@Pm-lyHZvs04p|KvL&@$oV+wshhS8uSt52@ znPPnLrnS`N<1?8e487}{qA_PIP}eEx%wpjGV$pO`&LJXgOIdre56bt?_q*k zDP&1>5Rk87fU|w`!(eCuYipKZ9bgz>AWP{Pfc&=P*LNPoGd>6;4T~-)eX=Aq8jWD18;+Dt$hLOuhWH)8Q+|WC1Ft zEU)j_Xb;l&WMZ=_ALG0_g7`prU>A$^LMPW4uTbU5lU>6)v_MXtz7>u57HS>71ZkteS^v`m>om_j6AK z5Hg|xIxjD_wk#O|X(Kz+RTN(ApB*3?+&Gj5I~7NCgY}~j{yIzwl#j0B*M1ud| zAKU-cr~=&>cj8xoY;@fA1|R!@FLlC5f09|q7I)L?aGoydbiww*KRTSL(4)~8y;re$ z-34PD7DUFEJlY!v4c~!c=Tvn+gKxKh!=!`ehB}yGiGtesPZAilvorg#$Pvt(7 z6bPSX_Wb-|Lu-^Bvx=BBGh=%GqWDkUMzWy00Ht>_>~#nIHC38!vd@ekjq@IX|D|C% zR2(wZLP)cH!Aey)6ZrIo5b%p-<>i@*WKR5|5BP~=En!6i9U}2kmMKXZ`5^ulUf7!j z6PtVRMkBgo_pR6l-l)Y&oStFBck>01<jvDBSIV%-~Q(X;I_UqlD4{SjAiRpN&jeOz4toSl(E|;=ZEHu zF)dWur6H}64-nImpECqp+vVb8vmfa4<9|;s7or^ICs{@ht?4N!w`0ohJ#>kX?+Yx$ zAlL5zw=a@qLw&6#Mkus+wOxC0gN+lODP#)gr~zE6vHTS|p+ zGbmJJjp*za$YyP^b;>#V#0zglTv&tw+VS~HwC1i~N3<32T=CqLQ@oU^5)jTK9olJ; z9zV#H$ztKrVX9}8XSe=bPFPkWn5s4IF|fjy=Chdar1**{hcwU9O>^Q-k>K7pb|(!( zrj?twS3lJU@66y25B4|Rvo-C%k!~HCb$oy)DY;|d8Id%n^BU+SYmq)tjl!B$Ba4facI_dR845{1oB~V2TCtSOo0LbB^K6 zqQ+G4Krww$$zgelaxdUXq!qs%489Q>tQ@>EjJ$efyC;pv60CpJ+GB9O26djflDod~ zj*GV%uDlU;I9bK@Nvc4pK&TLO@imVX7e!!nB}sv1%|}9Flu8Kc{$*lxZCbC&5OHUc z(Grc38MJ7fVCi6MMY-CS8F{S99;9_jrCe6(&ph)l{cX}^;x`Y~isbL3719@R&PQ~w z{=KqHpyje(F>V_%J>WS^SY6!o=WJUY>DNxX;6Iig4Q|U=S0gtTRcVXcSu6Mg1!^=b zdQms_216N~sUZ6y3%D6GGjB{DRkBdO7W3}59)KWze4M?$1<>(Ub#u#@-2b3N=ZH;} z2z3)CVEUkaT}8Nh7pEd!rm*?TGs_B!+{S9IBf0v-ufh!Ch4wpZq8R7Azn0{eEnu2m z44?}8`wW`tNPRF+GHz<%SN$YLotQA(?KnszM zWh1rxQjSu&lOK|=s}u zqz{NkBa9Sje6)aNfYUDn{3N-s2SiNuNR*%)+cUE4`c(MhCCy*BqKB-R6U%e9EcuCW z7ooU>gkc*%m@>l|U%!vRHE=vJA7))qd-Q{v|2wD0Co7Q9As2s~3>E;BkC={6h|iSD z&j#+1q({l#wI!QLRQN4#;Qa&R4cP_4@#@B2NpFC<-j+&@MyFo|do>tl528|rk0(J( zcx`*->_g|cU5?F*v%%303UxGBE%Kt&Qz0aboH+5b?L1vhGS`>ICbZ8SwtB6|&SV%& zx?fCRE7u3{0gA=SzH1GqJ6a&ytoJ1eg9{u^M`GGY;x@1?OJe>9Ib%E1J#c{} zojQAeBSxb>Bkh5$BNh_$U!+RJYFJM%E5d=i^-e6E&cTIm$NPcFs`F2d>1nUh;QHfWkjE+YgQMlG`hS7{Z7vM!bRg1#TcLlrW%wOCc!h$UCJR1! zpjm>Xb#XfN*dP6Cro5Vhvqz4ZW(#$dM!8z+gbI9+U!%$|yAEu)r_3#zqm)HG2db0V z8b+hC;&z}wAC<)|-Y1P1H|X4BSNsh)Egg43WQ2~?>kot#N31QAH8RC181F6}5i+aXuFI?%KyCmLk*8gUB(tc^-2O_4nussIPr#5RO z&E(pz#0518@ywn!`SNd8DOS}>d?jLa;uAN%_k8uUf7wzi4s}~)fRk7vPyf2vz7Yoz z9*7+IhNCS{w{{6h$QehNU*}d|3p(V@ zDj59ilPvGr&rSzisDD~^S-=oIv&^r#A5X_V?K=0cGW}KT-Wh|!Nq^Kzb=N$&jf#w< z;^V7^>NVvq3V*X;@};9dJT#ZZsI-C1wF*09DrY4VRO8h>x|SnC7{aJa_L$!_ z<5u`A>???q!TH4Lq}>mo*a~{zFe3@g^|0BG23*n5_~$ts9Ez{KLaHtWH;Dk2&eJJh zwY`jkK%TDTcK&X1je#MS_6WN=)aUz%efO^Jqs026xanZ)-tl~5Wq($d`uAHG6RZC~ zX$@>HmV9B5tqN1VAd`f0pkhI}uvkEOP!`_ssXwem78oRwV+Bj&cp$uF)FrvU_}A$n zfAi8DK8Puge=MC3g2evI&5$&_6m+``8euBrdul_g96o7zOad>88S?Fl3j{+DtAY~% zC|M9ddMHlba>Av~oW_{o6o|(#$`WGWLfGgonM+&vH_`Z(SXXxz56-4ggxgJ3Nu-2ZgGodkOn+BiOhts5I;0h2E1!q&Dw9L8;jOV;2+wUXSeoifk|{9Z&yEi)dDg)d0j*^GGzlk}h4k zq`f?xfqf}v7eIhmLBO<64gF4fC?%D?7|WHU!QJPeTz4TN9Xl;p&r9sBUKIitMMY-VTH@{1N+_t zY?f!NeW{(z``Lq*#$auwh=mSp;S}o7;gBt0*@@e@6WSYy!|lMyWv^8pHQA=w95#Jv z;0WpMI{{b`te^wQ{>9;213I*Q_C-?gYOkgKQNoKAdT*2%b7r%rHw9{;dGay3522Yo zHkYa?_{z}eJ|Xh1&C@+SkAZx_bo+S-u?`+dGzB(AbR;a6s!uCj zdtB)2zh~1qtXI3LP@VpAr(udSy7`~oN#6ju3!?qDFUm9l=oDlGOU!hLb=@erdG>FK zwF$D7E(XpWtsbvePf67^ZF0i6tY;7GI*ae}JIv)mbrvxvP zRwg{^Psx-6;|UV40*kqxL)h zM^fLBlocwZPrfoQVK}oPE6z8$J6mNr3qw~%Z}7C`Q3kJ1&5`_G@&^TUl$%;oUPFJx zK))82Ec_zp*IW-i9d1Up&PS@N%kSOlI~IHmT5G`v)U@EEV9^Q5ku5C<5|%Tb4I-29 zr<)G8JL&7USjrH`QyW}V7N_+52NdxV=CMy*!U!n6D!#LY&Y7@9;78F#ymTtw}lM?pR921wcZ zn^ggkk#G*3Vyq8a-}K%bJwuyVKcfy7um6>lCx?BuhRy)t@Z;d>Vl49h^2BE%g|dGz zpN{Hs>?ViiDJcnA=IA;L_(V+biD{yGZMo^SHLtC(iL7Zq|MhD41uhClqRU6#@GHZj zz0aQaDpXkzh$Mgyvp%RfKm`KI&rzo|-^0qONUf?Ugv_z*jvVbGxbox%14Y6(o~n-6 zfRJ?Nu%74y<$-u+;Z0(Zua27XqI`DhX_nY_*(cZymep32g6?wlT1N(tBjl$s5czHG zRd%k!p^KUyS^Y5%FxP4v^$ZsxkasC+8sb)2103A*j!a4q|549V(lwbM}O!S*OcS> zbNiAWl6IT+D%a81(B!n4Ic&iGjIar4?Ws6?v{rFSTMr-kus5qcv{n;uv~wy7@2&07KEz*Ojh2Mqly`)%qwz)|bUi=>f=WmLk{3wg~${#rdJS23dJD~RDv z1v`As)bX_2Y1bBfuLOI0!!3&vW?Hd-3faMBI@7$d@dhH%sHJZ-lNo{d0q^gfm>?VA z;E2CvmgX-y#xaTSz4sXx88Zf$LFJflN$}vV8<{6HuL6kDzH;z%VLG*N)YS=$b|k&d zITm;;4Qz=EK$#`6a{mQ8?9x-EewE)81srWz(`+b4bDd6#hvxymE567if*e?)s6xpv zk4wisdEK6uTStr2zE)FviiA0dJ|(P)Q6FxUHxPRhQ;M#7O)U5$x+`x(C6<#4%qw`%w8$)4U{Px3sPEZoVk7Ebr$ zL1c!G-UsPvVCJ?UVC!d|lGoB~9~j2qFdS*DH^W-I!h5>n13~(4&SjIMH*(XQp5j@I zO=WOsS6@u=slkDr3|M*3A1N%&QE*9BwDY3Tgo;F(cQyCe zuL9Rz7zc#op7(rGNbTOI5vDHF*Oi`;Riu22ADwMaC;cA@*7N1cyYaCCUt4~aN;t18 zA*gJTnu>b*{)+s|nWI}9G4l8C2M`cY1d?uvckMpterY>#ABv5`=T=stLVSk?zLY`y zGTIh%z-hpzk-YPhT%50@ym>o}lX5f}qOSzkPorI2*_A=$baXH+bh0>oOG{Ku1kt0~ zZA9SV`S^~US{K>^P!gf?y*qK9``cWYAW|MVO(}hn0?GUN!jCgcZaJB(i$UB8)AvEm zN&F-~pYw5{rfJwF#%?gk_@v8LyUCFnj#2Zy&!772@*UgzJFehJ8f^OaK29B<0X{b} zin4<$s+f+MDe2dz|NpcA3|Q+>kH>Sm?c~WxjiF-tSA6u3;&rbh`R#5XbNLR*z?7k} z6=p7;_d^A$qctpG3PCEpN@;gBKGZ{4lBG2@i5k)h;`L3~bj8F|Z&WM@eNB}jj!kmm zVIF0aN10Qg4mhi}OL`rYh`_F9F`yDYM@CSZY46dk6ODw!YBEi;Zs00Jd!;8S#1JcI7P;Py4Q<>~{`4Q$v6)}NLxYGoH zHUKiKd5WTkwkBR15VSwy~z8gdsD4pS?qlWo96`yE?!slYmu@8N|adCx# z4+rIHQDrFX%j0$J8gNy`-i<=6j)12a7SOZd#S*5a2(OZNb zv&I+9@A{XyI{YGUU>K^8Wk*d=t08>;uYRA=BM17+y=%< z2jP{SwT@S%qiP)_Gj*b~`hhq5@jCoKD)4&w=UO%ho>f$YV_z~CF?hR&fudCsDG>r2 zs?_KJDnGuA(TAJ$P0T%@!}T1pslvPYNLHi1JFH)rFXY;}{bo$B>}nK1g|BKS;9}|JU2`pQy8vbNvvQ|KZZ{09e0c#Q*>-Q&E!zye6;% zj_ALjpGQw>u%Jve_*ZxErJ(^MeRm`c7K>T_l!ka-EV^aEivY?S7$~`@$Qz8FI9c zu1(X{zb0zKykJXFajQ{~hKC-tL8{&GXtu%GDgyf=;C6KN8On*s1@UZR9?XCyA(yokv%@6Q!!)9Im5@Uy5RWA;{GcDz=_RPWxyb>moZM->yr=fe8fI+P`!T8ZFFRJ z+icRW{fDesnb;(2W28Es;Zx51?O($F72%VlAWSj+EkL27Jo@2llOvUS3w;V-9PUoV z;K_ttO}FUE;Y2PgR#%z?2d`(Tn*N zh#Omyjs2qgyDzbJ3NRHM7?zho)eY?%VfK9X@|!)eIoXqQ2Lr>B5YXy`$8qZ{KfIkv zHDsE4$Q=jj>I%|35j#N?>QRxQ{$y7Yi{K$+*ONso71-DwL>R$D#5S2dgEwvIq93WK(au85pr`@TDd4gHwW0L8v5-N!O*t;5{{rEs%MP?=H_4x7XzoDPkkMx8}9} zu`jiB&Mr*SK%Uc;DF6FsH&a~azOnW#(Fe~?OcgXP5ND(s@8^fu?e6aX*i%G|PZQbA ze68Se#2Px#kkIisJMlH@E$kJ{D$Jty5sd=X3E12)$J|^q0dl7_SZi&az_Zf^8 zC=f{n4J372Cp6u&+wHmd-*7r(0z*DXmf0+Os+h6tCh0Y>wrLdkR-qZ^N^GWiSkNhZ zly5SNHaaMp_}}<~Db=9N*J-LbQQRin*!vBREEblLm>o4>q#Depq_JIa-8?>gfP(ZfQp>`{wR` z$^1zZkUY+BCy$)v32+;mzDEfKcgDJfctKR3T?Q{9I-QL2HAk7I8-Sb2GfKvIBDnZD zJ9~Ct#JIx#qVBFj_-@o|fCBRhLqw?c$%Lq9OA#kiQ=}@p~(P zz@>eBKt2U>2>j7-rWpb72?Acj)Et;_v~O1*!bwezc5k##?R{(lD5FBGB~pB;J0FDs zil|4F0@#qjHWLB{r#Y#%Heg7I0Bs;6{SU{AM&H68)|kyf`{{&JVbbS-q(>ikvsxUg zBqYPG{S{ZZ1(*&>22{@NMjxZXH`sQ$(w{ZH zI&gjYh}=+vY`l)MPf_YMpyvs9 zD7Vf7-e;>$ssLI=0AL06ZH^_h{f!z7cXCGTH3oniV&QVlNKE@(*jIdauFkM+i?PO>9(^IhZ0d#8x(#0rK7u~bfzk7rclJ{KTpQt>dL_mI#34;Z7sNUNAdQCO-U1i z_efSWMXa5LpW=zrU5mrF*ftD>xSb9yU=U0%4_;;1S?l%>6qzkTe8^}J(-b?L$mMj? zJ+!5`L4^1Sf@Nr^$OF*Bl!Y?^3@)7|@!0NVu%gGngA)Zz-4Y0fZ2{+Z(eyMgN3ncX zX5dgvIz?iW3KTEi(J?PGsB-wHQ;hd?9$NkwXp5gcDRn3sEJ#tlphUBsY*7q{7lNeo zwoA%HlrOIWih*+hAMh67oADeeHlX@Am|3``pt)o-FpkhD^S!xBLRh9S*b}}-c=O-U z{-SH=c(KLyKQBN#FHb`s|8hCh3j>LsB4)| z&1Fh{)BB#;S8>{2y2b_c>TSI{G0>j^yvD7*nY3cMwqnwqnT<&&LIxg-?kYnNeG69MKdbD7iGM@~=qiTkSSYto`zmEFiU?Nv`O$NHMc>6tg zr@-w7I^1k$DN+Dufv1dgC6|BA1XLnlwjTk8W^1SG*3DWzPmd&Xgo(PYYC+1Q6lpxTO2Waz5`H|yJ9jLrN=pw9j ztIE|OqH^;D<~H&QRhjP>zqrCL{@s8B=@x>wSQzn`(EA3W>|f|c=W^Xz`l9G%SKt_M zzn5b)x19tEqYy)QowCT~rSh!u;41(#>pO~Y-q%%sPY`X+kv~9JB3}(3=^>W2sL-`e z408(7(R=Iv%sks7q3BNwXJ#1XZ)7KB2w&-|2lk-(Uk}h1b3O6nzgy?<5PVzbhE7D^02m>wsJRH4v)%W|t-G~KlBa>0>3(^bJan=LeAF;POB|m3 z890RmKCa%sblFk@tyeBsmO&Zq;;%r*FFNZ&_2v>0Eri1$3WBSdtzJmxoZKS^T&&tH zCY+!sd7X$u)?`hsT&D4ZfQUwp$E05gj1uv_Wj3O^{e8Y-MV#LE)}Hmg3K82NtPrq@ zWfRDLkS1Q~=}S1JS$qk9^DP5Ii{G{0RAUYf4TiiHy%t?Icv&p@y3(#JjsljXmEjwjS7yh#B&P#uOb9y=a^h-eyGl>5=w}|9| zpu8Ru^e#9b{xrAsa(>DzDvIz4D+1k`e))eYrS5hIhnQeY=hY6_wI~4~JfEGT)h|PJ zRNoxyz?b3j{+?+!x{xh8lFU52BBY`8df-upBu{L5#mhmWg_~I}LOI@lnTpL^QwEB) zBjUao_nWHTw*|vbMs-^nYx;*+!@yx`qyJE0d*opOeFW8ulu-85vCCMZoh#P*{Qd!| zT)sWkC$DFG0pMOO2{lR?01LIjzGvc)OK zsA>L`R!cu$ThMI)F<~jEKf`th@RLB^?_&I|QY>?xrBgBY?Xay%yH=F{Gc3;m+{lnz z3G`c8(DaG)pDF9T9N99N`y?0%F;@9GlQ1P$lnEhK;fr| zEgLhL|8B<;ribGB_lcX5sZSVlQ8-Q5L2e&B+rv8P<15PNMUGYyJ**BN187&HRG6_8y^i|{b3 z8LK0Gjcd1MD>wVk)!OvMh}scee8qMxAt~Bi3VbA`Q#@Az<5bzhtZw#`9$>{le;rm+?J}g#=(XW9v1Q z*rn76zP+y3lO`ob%kbRiEG(Id6^SXakyBff7S*9ZSAnz1q_}>8!0x5#R{a7_!~>AQ z%c|nL`+6@Zwx;v_xVqv{R;tvwW=al~ug>xn09X!nkjT;P`IG!EUD<-NC`jd83>cNH z*C1LJj%?{i*sN=am&%+oolAP7d=g8~$Gci{v1s(+Lq%@DFVR__91HpvebB#hb^R*@ zBX4V0qoI1f6(e*2;&gEq_TW-3@(-2k``hfb*`ZdXQ~wRbf)-=0x4V#Go0G%63|Y0g z45*@i72f2pfO~ozHKD#P-$JaxrbD!54jLciluy01W(Ak(m)X7_?jQ*c*%D%%NaEX$ zv)CKWp?Et*dhkhtrh=QtA|XEFYJ-9|2cMfK=cMT)_a!&q-W1Wa3+KY_I!H6P`G zJui4S;u8kkM-m`iq888;*0rAbAKf0)o?^+GQ8|C{T-zhHk}vozJawC`$e$c_CB0x`PX26CVTZZVh4ykQ2Ag~W3)~hss!k3v;++jfT;MdqX9L#MSIZ? zZ7$`RC0z%rb<6(_%s0z-n2zU z=|~5o)tF+_{_fTtXl4W5uGy%T{fH*eHIx?>v&+8JzRH#v#)64Isq`iQ#*rmY^!0Y1 zR&1`8ity@mh^c4luvLLg4=PKB>J_YB*mFT$ts^fJOK|a*Hq!HWAOp@xTM92sfPS>IUj@)fz#@B&uHoDFL8Vs}$`#!|Q$||%hzibR{%7?B zwJTK81^gqf68=;j9PW`jtpDPlsxfCaFy;lF(wSjB9bn+{w{3%MAlj)X0I!bma0eGu zFV%IO0G=dKVEG3AFDcTCsRsuHm9EV9|EjijtC3rT#~ra2>ywzHuw?sDrs8T$dVBrI zDRJX(85y#PW-DI(xYsl;Se(wguM(wV-I@I%J^OY-p%9sVYH^|yky$RYP8pOC8iB=u zN`u!tV!0v7A={;(E&2EFo_2Q1T_1|OHQZD&Kw;ZXQz_qr!tck$Cya0wBbJQW!C$UD z4h3XzHv%SQ@Fd1Acq-_N?kyO~kj3=7!AyW%0X)&G&Xt<)hi1_t?Bd^3vtLV zMn8~{kuLTBAP&9bN#J~8wH>?s8m7NE%>(Z z3Z-^}j=xu7K~Y4HJ{tp-#izxePPHmqQE3${z5lsssk8lf@fS&q=6h&Riz&<#FR$O5 z556SY|5};nd}8c7F8r;#(=bHkzOUaG+rdTR^BE;`%KXlq@ABN>E}vF#r4OF{;az*dL#!WxNT1AR@m+vg8oGb#Uz*4aoEpJq zcXMGKW6(>cEX9UI|4L65=mRt`sgkkdZ(VmEc#oB%?(}NUVw)8I?CW*W^{3%5$4O%?>(7&lK1S)W5+FO#|=LTU7E)D2Yr#VE9L_U&5|a!eAbX_9C& z?U2PY46cFM{$Kt313tbbeJ@t88qx9E_viMmM9w5lS~U{QM}M1!(ll9g=n{kmdw0*_Bz?a z5$Sw3b3VMjp6ziFl$m3;vhbLEGJ*?saQ|k;$q{+n#Sm^ColS0IgCpMFlvm;Mw_F`x zMCBRc?Th#&1x>uoO;hKBaiNRLAxt#TyyX9?<@8&+V5qC1SJ%%u8VnhkS01ZRa?J4< z%^~&jq`H{MH3RB0Kqtii_Q?w*JXg{tgs%Q_=BKVW6Ol zcu1p$7rDkbFBAqFU*HA*y|D#T)PXEp}{Q~`mYtbF;zPw0U>1Sz` zM~59HE8u2Oy;E8=w0@lv!SLM#Ryr6rQJzSMO0$?-nJ2k3?xs{ovF__GO)4&IKFhJ} z^WDj31w}veB*CgBefN-cew`7@A*Upy5<)Q=ra>~P1{Hcy;p|JY&rL$2^|Q+ z-e7T*0JOa^51#NzIGv11mvdWZRkVS44Q3j{d~UgXgV&DGZd}4}?f88!@3Bu<9kZhU;3CS8?XoxGznt+D3c zV&BUxYkGcHe7?I!q+rsd&i3g=;ZLsH;Sf@p_{iiNx=1vr{>i&FKaNbyp=Id+wD%0vtZg6YY65SmXdZ1TkiAb;g}`t+LWsoBEkinU2JN(>EL&!kx{oKr^Zf| zPeUvul$Iwjm}N1jC^cMc*-g1AZERh(lC?EHkp?Btk4)uE%?J+5v4b;t9W2V^OC!if z=WBOEf_HlQSe8q==~?|qC`hNH*wkpovKVu&@G7{Sc{5r6@H9T2N;8x!BJr-trDe4s zN8jJwntw!_ppn*pH$f@oA->k=hW5?H-A-pvgf+DKd25q+RulRq5!r#f&rS)nQGMvO!?C7X0P>(LLJ(1kye}F}oe_VS#;4ZhDs@1DB zy+D34>LR+)7rar?|NnUU>aeJ`@9(idL{Ov$K>-2j8bClmML@cdMi@Yb?hd5|Mnt;1 zyBm}kK2-Cl6sz9UP=`U^DEzgpNud=^>L@?-$Xr0rdgqSm;>sZ zrUe9*WSsZN?6*?o152(IreNKg@e=hxd6TYCPMk}+V;vYe`*^4~kKf!^DaHfk%plBt zS#U(pDlN1TEZuj5dnro&_TkRWa~*nub{lHHf%YuHk&-Hw2B*hEOBsDfn&cs=Jmbd2 zl}Fjwks zyO5cH!0h7c2e{!f__AVvv-;{rsC0Oy38#ksjt0`O@)w0wUCl+Sfs% zwD3;Tx$R;4b0g8$$f!3B5>dj`sWG+dHcY5N#_r<9pwftH_p zX2{R|iSa8}sF#-wrvKAABQy>IUk1TuEQsFK{-6rh$>9U+uetcL#Y35(Fv2);l0!ca z+=p25oP7Kcz}gFTbAaaTvpqhfMi;*!0WvD&lJVRfioPJ{InbX$Z|sj!gRm4xd*>BA zaj-6%z*n959xvI-N+&a*`q+y7&g|Bj44gJeJe49nM4ZEqelGsmha|jGwgJ?>4=(tc zpmJQ|k=uQSQ{_k`xvA;~ zYPvPIo}Y;D>`s`Pog)^8D}@`rQ`dSAPaQkCz=C3>h#5UzmU$`(H@x?qHc_lgXhJr8 z>O3?khPKka9`PcJ&ah6HI^&D>k3LMn4qb2;qaHIARGB|Je`va;-WV~08orgl@Zgi% zPlC*t!Kn@DZx@Ic{#%mOQEXv^oYE!&Jqc;>th|D+i``C(n!P>F?#WJePi3eL-*A4+ zOT|M!mMHO(s`+v4N!%j&s~!pd^Vi6`)VaB$^-@AEZ^^s_$(Via?c0m`_E&qcf|g`t zsx)$dEw312LUf^CdvWMfE2{%F$xGAh*Ryg2w+A%cBzDfnCL33BIy%ApGzRFUjj$TPDmQHM5$C&nftn2e6`%a4^YtH6i#id z$>qHBUgS)YQc7ZNKxlPUg)_enP1mJVlwYClv0h>+Sn}+5R`L4?;l9vim(D1z*ji(+ z>25|?`9`n2caW;NLxJKJIJ9NmY$Rl83xII zBYn1?f57W8FBsN0HrC{F?G6#xA6JG8{XUPgr`Hp#yf*h^6FP95_~w5VBI>MYTNx($ z@K@B>PTvPP(1ogAeM5AT;E!(A(m3-L_WGukJQ#Dj_gLgnGd9*=%NJ*_1-#X&V|^;E zD)Zt{o&oDn47y@!a6#~;<2mmZ(-9++9m6uU z^j-#)vI8HO?FM8_av#V?RU=UtcwFuekau;xeCeY)UxBy~ds(IXvDwJ`89B07{4s4> z;9OCP-OXJ#B+k6g-GkAD&d0{-c0VLGjF_T2>n8^T*)f!qN0QPsZ_6LDb*f&|KMDQ5 z&@;$*$YwYP8=Fck2S~o(U+sA=LjexuO5It)Q(3ircI4esyFCrCjSV{m3Ri9>Tw|ij z8!c`lA1+sNuAHWAKLf>GhWhvGXD9bv>t2HgS88qIu=yK2P2I!Ilf&tQuWFG9xRbqi zdC};6jpAZ0jDry%la!oI2ISHDY==G+YZ;V(qZaTgx@7y+Spy1({9C`qO39E9Y3Ujt zJ5}!VjxwwrPzeY3J~w~aOrpqmb4(6epWjPolJ|YhRcFzJy(|4+K;>8Ex*&vdVjC0# z9N&a#2H?mM2R%UODaGn6X3qWXFF{|F*H#mUgKkVLO>OwXH{k)<_Gd48;VmQ6lCm?k zkx2H^nda|Teh5?LL#Lkuj7)a{5y)VN2W4~F?lbwP_~~|To)m%ByD8x8Nzv39)$p1A zl5yPe?|#&rl@)W5vl`d-1UqHh*wMc}E9OI|~;66iCt>EudmH%QUkR5Th_Ai*zf1IvE5v+ji5 zcHi`2{OefohruL6_UVEq1M*(0VpD$L5aEc(*f&0@%8IW@q6;nT^b**e627Z=eeOTq zjK7+2G>n-1v8eUfU;Tk?cXR&g`%Mwgf7-9gdd(y4y?wpBPXxyX=gXpod6sDnrLHdv5=pU1uaYOic~4~Ak=OP@WB^QNcTY~7l5nRyS*Rn~GR?_Z~a z<_`9cI34v=!}Ri$&kt80@DP87VlzzkU}&=}mv*af4wIVQrbsQ8kC*)WtE*`OR$)|F zcq(O~IDhfpwl!S~m3VAn`kVS%k~-B<55*7D>&$a%3-Wa6d?}?>^8n3~*SBi(w*@9A z^QIffdKyZ@P@bfRZ)9JM$D%}B3|}n|G<}r(UhwsCt(~Z}fgpK*?Vo;IrH_m67FVVH zVvN={@**bR0D|}WQg8LgCs8SnSW!Uhf{}RV zdU5Jh{__#1hu;!?$^>)Ad>N9mUz?S}@^rtZ@eu3<+>! zMe|tW?Y65D5D;~U7^_P{RPrS8*6Vtm#(TB4vi(|viPt##~&ps@yDDl zRa-?8{`Mb$zso5!?Rasobb0Ga9}9VRujNj~C~V9%;|;HqxA3A7RJwDpqgKm%&w`ab zy1e8a<4Xn#`ub^7xReHCg}YzYp5kLr0<|@(o?`Quwt{sX5)m%^$iR7j z-OuEZFV@o`t;k$OP4n|r`b@;d`2H^Wduo~`k&dj$q2AHOy?CktTHD`ymJVc{ft-ok zvyj=%u~vOPZ=RJ8)(@Nouc(mB?+!gO*Ym3=I1efFTwE}ar0~uc=p6|DRFP#fQA-^R zpOQN9ZF~FYL%!7B@hKs03Up^L{seRZqyZ=GK$IF@AWH$iNP{Fb!1x$-}B6x3?i|gJ?KyEwfSlXVrFAwV^ldNBu~jZKhxfWcREi2TDe(w zTYrTRjP-;r4z!E(HG_Uxcll@l37Y7Q6P%JoUo%zM6YJ0ft)nz`cc=Vi9KL;^MuPAy z$aMX(`!>cdbL;ZWyTE&g`6e^TTD^*}VR1B#-Nc*C5L4cbel_9LI@d{P9 zt$OFpn;sq`{e2FL#rY0itW_w1(J*llZCx!vE$)>J{Htj_hIKnW1;n|ku1pkJrwuG_cRJzV$81p?%~a?t2BRdaX$e&d93 z!~n3XKi$4GAH&W}FN2tFxM5q)JJ-BEZI66LO$GaK9mS=oUHK8 zVL&3e>t|PU8uQy9BDTH@sMf+C&Fh^nAiph0?YFD}&~a*cV2>uS!k!Z~r_3yQUF|XC zGYcJln7`GS&~nqQplCOXhzJXCg~IM)FNtO%Qc`jrfC^6F5hp3qH>JSGR5kUNcoq#E zI`g7hiAUa*67n|x9t%bp6B@c>J0vzhw?ekaN&Nbo@P82KBnew98{}KO$v8F4eU#zo z2`)im{0;y@(8|>lhps~Tu>AIW*LZ~kqnk9eM&J6|P6<<$4@9;+~ zo2nvnRD>Jm;c&Rt$IpfONh<1Ma8wk<;!MN9A{E`$l#r0Sr`paThvBh{^fmIlED+ly z<2Lb#;Y)A>{Q=rVK|4TY-8l1s5j`xlDRZ4J_%)yT-qMC6v3nL-gEJ;h9jKtd@)cm4 z|H*QzghZY|<2_`n7Z>k&FX2pEpua>?<}?h16nd^R-DUX2b#v7I;s*eH@HqBK0p}jB zVveFx?&6eQx~fRZB590!g#&S<)FmYyNgZ8!+al5Mzb|%cH@kA4~$)en`k{C*NPYz(OkLFw_PF;TQH-eY5`!?-NwI$PEOQ zuXlq?4k)AGR`o_jSDo;<2cB(k52&W!NaIu1d7YVY_6Z)Um0?pz!s{96BUj5C-%0}I zIn@SJ$NR4BFJA}4e%-e~z2g_0h`tYL|I;OAuYHU6orktNA1=V^O|vhzEy9dLEw* z-S^i21Sj6yDx0mg>giLMoM+mrJJROb%z=)k}F6>N_fRU^=Z> zoY#?qbRaUnm3YVcBSO;Z!W>IRtLi=6(C5z!Lc@!TjJ_mH=lM)7NlJU$B;g<~U3VLP zX>Zvgd-7rngDn8SW2U898?qZ7D;O*X*unIqsJAA+1SjJCZXUbbR>wTKzOPL#4R<3k zA#bdhKGhw1!ji`oW=nf-VMhBMJhY77N+<;-o6OFs=tbMbmhCn~I-snYBxLUnO9b1B z9jI&q{I9{$x)i_%Nx~FL3Q<=!_$VJXRm39yAre;r3t@+cjO|^qwKODE;$pt_;=#0^py0#HMWTO;`#2igRaTSd%uS{vcUzw@98mlWCs&+zwPYf^Bf=ma=jbX zD&5@6h07Fv;F%;gWjQI-1qy&KYWm;>>atI&*K)mVR8fD4^={)G@%=WPohzT2g{aok z-SS8_w@D))TH@ud65&EdWE#iPRLcpgpPT;T^M7hri?6_%E7I*_@RIqJsGm{^e)W9A ztwhA(*#pkXWVQnhXs*7=ig(f~4O(XqhJ2y!SYfvHo#o-L&CXZH0MfkN_iDy*otPVGcWTJPxwGt7@*7@=yw(|VKN4S3d}g^Y+JGi zt*RnA)r-#jbc$93U5L%H0&IZ-33DxHLV|)}6jyUt}0TQ)dH_ zbGvinGUU4R0HD%XDP0`MR(<_*VA6m(_iM!EQPyVJA81COn6KZwpK{>b{ELicmCs;V zJ6pU*6j<+LBhvZo)iTuLnoR)X)RF$k~wb|mp*GXpJx#vlnQ$A@sZonZv-HF|%>A;+m>n4v zUBamPIil+?w7hYLcQkOKZ!}Gcq_4N$RjCtl>CQrErQ(X02U;WK*HkMhH&p5XoHT+` zPu)BD4t5i%Zr)LzVHX!9jlwZb6q01kSI%9KsNvn;6be(3j4e+Bdo;vqUKyIZ1VHXJ z9;c5kHjf(`S6%X zCjJ8)^6Szr){6ZAibO6KGLk}Bl|T6sPV+*v_%M?|Tgr>-sC8hwD$SX%IYqfo)|L69 z@>vRQ9r@HUj1!D-AnsYSFbR+43$6W7FPJ`AXl2d$VT-cd;H$3Uwg{&|R3(%Ulq*-R z{!qi4|2#(Ul4vADPPKfP48JYK;eE6D?K{-eXa)BBry%wNyJHEAg36StYXH{rrur;- z!m;3UgWu54ktO~P)VYJr@VSbz=7yZi?w>fP&}JGTn`;Kw8Z%$bMo zdv<3FU?UAmq(2ZN2?m1hWZVvyqpQdG3n_Q&v?e_8JiX`1IRiwyI0iZ13a1RzRI<2Z z2jdKyi_^g0EpUz8wz4$FMAy)rOYs0!gr;UCSSkcdm-nN~&UjD(>&~4M^jwZ$4*~em zjP&o6GeGbaTq9z-8es+|bfRtB1I!IY7+-+nd8W<|IW_L-0dhu86W$4oTYA6`#kCLs zT<7Pye{9g2W(Hzl;1p(l61xxXRsLiIi`KFp z1~YR`lW&M-DzL%_9$g?hrGkLM5A;nXUa#iKS2cH^R|T67O#Wvm;6s6ikG*|`2Y9FJ z0WmatX=+W|CTSp=MC+v)+o7j0Rb8``y&GlZv; zz8pxwQ?oJMit80TB!%YERNGK2ISlepfN$}RW*pW9Mb?pWj`}tC%_C?3j&E*GEI^zU zgB!j$DuHSWRo>+yR8AOda9YWWeNoCPZG4jH6JxzXqKSv?5PM2A$Le7gt2#0HBN9NLzI6ijN z?#Tb%n5L)~?ogmy9dgbNJcQpWi|_nw=hw+;Zcf_?2aI2%m?G0oZ<}jtO2bPXSZXO0 z8U+7)@sL!M@^m$K*zVg{2&C^fx4t*KE{M4-%qRC%*`G`E=^rNKSn>Px+8*ZX zxAWZb6gQ)I(&BTs9^izq;n*WEHP6)w;bE~fnH@d%v=TWwwXvJrU)?1lZJ1w;jx*vj1={s!f->q?d9u$ zxPxb^`k>h9(00HW@@{<^NuK%t-==0}wKY3=D}kIMqgdN^^BRhb3AfQD1^=4_y!^E* z=DSTIDR}&#%GA4K9c(7+t%CG+$%!vy+0Ou6c|l%sAKPBCc>7~lq+F-g5$``U6F6zF za+wRvwpuJLjb-8Wme!Aa+KX|(j*J{iDcJ;`OL!%Pg4p6Jve(_jD6bS0JYXI^XFMZs zU(Z=(}Jwo|q1ADwO{5zHj^ZGN{)1@cj+X7Trb4mmuCG;D}y#CQ1Y z>phsUio88l&fmg;Dm74KVaDP6DWz3bx}?bHugc(g=q_{XKlSjzRSV++w{(tY>j6lI zqPMx!J>n7X20nlOn$zZHR$o+CO~U>yWXuxT@$K+|Du`mUkdv*qDu62U%t@C^uE z<)_h6qlODL=~n4MrAYv#xVfqPr-aMSpT=YX^4gR;As=Q|m0y*owb!Nd!+F*UaKZA? z3rD}2G%WX&`4k(Ap2wG%p`qoOXD7dZG3WC4Tq9En4L?o^dGA`^9Q-v<+(eO>$>9OO+wkqQ| z5TE|<(Uat|qJtp{&P@6AB3fqI3bbWOnB^Lh@sSm`II_J_T@PGVB|$t5!Q>C}Li!3= zXj2v}Ct(HGuM|zN7eH$QpQwQz@k5*j>fq1gpmV9>m#FB?m`5gpOnmo$*ZXd?wVEht zewzlYo!?WLtmIFEQUis6f|(5djW2DuOEQrvX+;yjIKZVJ&3tuk#C8TY^<>u-Az16a znK}vuB!*iy8?N!XEscY1d()nZTZ(?^{oPMc!>uSB2okD#7g?|K499LkgX;^uxq zyn86BYact4wpn2$o5yX`(y!22fCevLE}u z^}0q*JkskPQ}Gz!qmlFNso`pRP9%=%p|cz!oXv}EPYchCK|4vI{HiMfF=GJDZV9Jc*{-^rUgtw+L# z`cQ0wzaA(?%|NyT6++95z95sy2N=qHX%0Xf=o7TP{Z#AD+7A)N1}BI?rOaD(#hjr- z56SXf7kc}|VGrG@mo_^*fXvDMufQGpj%en}p@ri5HG(si|B#+}n)^eCM0a)RlZsLY zF}XtpO}@*rVPv0r?p^^iqzudPVZ({^;JOJ9F|x;GInhQ=D?wT`e?&)(qps-puJkyt zhX3VLKxCotw43V-CfHD&K0#1kej8zyN;Fx%E!h?WcVfSpTO?^ z(WJ|!g{5Zz0MG|TMS``ot!Z&82v+>_)XhvAJ4csHHW$^6cOU`yzoj`q#!_%&MSTQM z$55;xDy+$3=|Ro3>10@ev_-JUMek?CBo#uMy&%zLMn8k0*6|1exhwbsqQTEj$|a4I zybo@()Up$d3scb`>c&GsX}A}!Ia<&hrqUfF@qf3-Gt(y*9W6Ybw}%a5gJ>b3Cy1fE z&EX+(OY272jSM3yOxC+6+P-C}_~qxW=lxY;$LYfG#pwO%1#XNBLD|gN;ONpFzOiov> zK%YV?8E>rJBBnd2f^>iqr^X0=_1yNrBbqZYIo8~JkW05qLR*jod73VCa&$ugcC_?@ zVff;+zM3lYw7)By1g-CeQNt8lo-yw6f|Lu0w9ucIsaX+|a({qV`PNCkL;fQ$bK)SXqY$yV8Rv;tusAqQhc!u#!iYNb`isqEVuu@gIM+f(Jz*@Rc+2;m9v`<4XeI#CroH0#f9* z#t*_mk->C25@MJ08T?#83N}%YV^DY+2o)01T}%L}2R5h9`;a$ci52>TmQRK~ko97+ zMgpZ&>}#)pR0ePIAEoW_nO`{EBqKQ)*7K2{0%LK;+jpR$_!RALr7WnTy8X?8&c7~H!6Q$@!d=!3YW7;iT7N5VMZXzGK` zZb+yV7CjE~uzhJLa1o|3t@=Wzy$T~b@62qI;N}XQ9~NkQY>|JauryOzUM>Q>aA+>m zFRRo$s5@3&SZ`XQ(a}q6ULZ`~kX#%>LeZ+A@0UrzpR zOfJa(F-(Pf6uGJ(u|137#hVc!isPzcmPVql9;4^mTbR$wZZbhV zRUT8;e>!q~H!nnX)uWFkYpsJE-i7t749k4WnbANf?};H_&JRz~%SZqqw=Nz5N9|lT z?t3l|l;zqE=fR+(gnd!tv+ow#0PDgmwnSa4oct8*PY(#A1kKA7GX5;miRo?3R~j)@ ztu2Ty00|Rhef@AdfY1ECl6`VA1l&hOzd)0FU`eF6mDCugxA{_8?|!Kt^+R=m8j@V{ zexy8<+sI?)Jpi>ScY?U)fYsnX`b@b&R4c9p?QX$S8JHu{ssu7W0qFTi2n1M%$sye! zk0m0a++1b@Ic3oO-ed$$P}D<5!QrJpef7T-h2%fhVp`%AV^lO?5f11RZaYbVoFalyjl9^jN87P4g&!&ej# zgL%NnBA8-MXNPw_+>0^6e__4*ZuV-2>SFUJCEs;aeMP?^NB~fM9t{58PfQ=MtZc|^%gRJ_@j$^Mu_%n_62e%Vhg15{*m)o z9KIt8qf;J)Nq?4DF^EZY#=nZd#WH`Re-}ek^f}nM>}56v&RRvkIwVnWXKRf`DA~MgMUeo1N^*Cna(=`K z=V$e}sYy5>xjCZW~PTZZ4IC`4%4@=aCii|p z8CGPe;EHlIr z<_fburw&GY2MG<1_aY0mGK;mruKZ>})abKz)mB&@lW1Nx%G-Unje# z5Oe+dDSu?np`bbI6J1SgA6FT7N_T#n?WfUyZc8~jWV;e$CF$l0B^$cmJ1=kR zF%kN8S{a#CRVJ12==*y5UZa51#5pbTE!bIYYr4UHV0`n1NT|F4V6y1&@7aZN>Pe=w zu|gQ*^qz`qBLRrdjf(kxQfzuU8dx=1LVG!7F4{UJ34jNix)sp6g%bfl>6V@GA77_B z^=W+XSN5dWhQ+$uqvc*jcuBF%`%G<%-+jtX#%Z*ouLmFHR(cffsYv+l&Mj|gYTh~B zkPr=Y5JxA<0F4TzFJSHhjc(1hBHB!%Cvc#uQRNs>l^ zJpz!|XS>heCIo{0ZUwYgB-cKwrC622>Buq;po8^-;?Lc zz_U)x&-7EUVlD&rS#QUPSay|pe#G_G8{wPqneMdNF^33l`X5~B>pS$*d)qU){25GV zs)7~p8{M!7Nj9*JEV52(J2|X`Ih#W4PXKVBueElaHV2^e>AD0s1Rv z$fF0{1I(HD9d^Eb6{yiLN`MEw>k@Lj@)$4qEym5YAa~ItWK29LcQNDYPtOnXF86+i zcI2}R61X^qT^AFdIAAH05Tf9BF78{8G|zyY_7nkA!A zv^6W;%E9g}m~e@A7vwscZ+zAa{Mg?plxV`$VH-Wz0^|A-_e(W3HSx{Oo_V{}Vj@hH zwsu@(GH+`rxZXNCYPw_tE+GUxieN~D;%CFX769k;l#-G6kDrS9^|!AIf;j_NiE*(T z$V@ogj5LEg*T;=7Cg1XVJqN0iZ1yyB|rxbX; z<4=&>3ImyVkB-vibI~IUAG)eC!mzBwMm41r`yQJdJZkLy&;bU4ijTY2z?hQpc1y9N z#s1y&%}gPgY_~`H5db1^_FXru7!9U?oI#bndQ|8wx)Zj$(?ZX_p5!J-v~Ume- z^cEmfb08XpyP-c^D%;n-I;~wBBC103J#O(kh{pg(l@mt)#Chs+Ef5SABHZgM%U`*% zDbd?-}ovdAVScIip0vUhqSZQP*T-zYHcq=)j6~YysM{w?^&s z>Zlursi|Xi15FWrb(8j{*X;CPVDWk3R>tUP%*k46q^4<7okmbBr&N_a6zkFcA!NQe zJHaS*g{1-*4YI6%R9>x5jQl&O?Hjrs6uKazr})A4l8$tds7$)e4#$D&4)Uw?;zSv`*GbkMPPu=SCvE*|PC-}~W) z)c~3%!z(``^q<7NZkn4BzOduq3cm+*BnfytNQz@L7AVe=lZg36k?vugvGR#A4{i`? zT&S>u;jy10I<8(EK6ZoAE<0PF3v@jcaukrvu)TQV8xV}A7*J%47h5bjVaX9`I}g6xB){43p|G&q|gcb0e+JC+%jc0n5pK+^$& zKp^f~H;M=t>Xs&CIKaZ-`y&n_B|blYoGS<9|4o#|RzRFsdRyr>j)SSoYc8xQ)azh?qWMhOH$|ub zF7?hgJ7_e=4hWzOpzw{1bl2n1GEip529(x;!<^B`1(JKWhtD9+IwM zGD$(KxOAQ14-bJMx5u+4Q75v($pcZ6e`pvo9eC&tL<{O1H+#Fu0F4aGP$iyX_Q`9| zzE;Io9xC6LS%~M4G8Y~K_WIJmv{qc)>)E^Om{?3%FTliiKGHFKfTS1V)a`pS^35IAeYVfZoxj0NbD0273aw(l+a}M zxfWJqM_FNGacQmyvV4rCM|7d@V zLbMG0Z(6hS;Rh@1ACEnRz?5Se+co`o3KIyF8-2b8&^{*)2rcn-t@& zazhd7F-F^5DO($7-$<9`gBaZ7n>#;U@p0nXHQq!m&CQPo*#)=~o12wSaHlkA2W&Pz zIaK&`=SzM&DTO;bdSwF%hSFYf=35k24>0J#Cm=2nqtQV#D@Fy?0&zt^SE-apdwYh4 zfhtu^M7hKJkLhhlFb<%bX}E5UsJ`owp`Bbjobj6XiG{3!R#v1q!|uYfOg8vgCYS|S zEfR5b{q!s^=IQ}b8Dz3%!yl=T8CVPgcF%oQx1c^+Ax+rIGHu>1^MLx-Y*vCa^vAap zKY9U`mCf*ngA8@xxHPR@<=Z-gW;o-#H5nB|b{x?P8QmZgX9>n!K#CZv3A+8+2)%%f9K!Uxs*mL9kR*L->Dwr~U9$;PnhOS-Znj{ko?+_1 z)y`@e>)ugmp!`n{Zt$P* z$ohRErD5}tv;m=s?iKearL$t@lKt&*8WVIz7d`1X^T1aFZu}zeM*Z3fjLV*Wv`uSz zS*ow8nXAia9YX9=uI$q;$$3duPm2b6tGpjK1OhfT(%X4&LXtFWv*&@H4yMZfk|EgV zzD;@J;ayOV-+hhy(PAL}r~T>yA&i3oOmkk>MTx@yMYz+M6Vz+&z^vtjplhw2pA(Fa zSysUeLwQZJfjPj6Lpi?^iZ2!8Pq2muLlzIf7>xDnHeM8koLwdPh${Eb~ z0ALL!al=Z4%9zZVknB1qhg{ifTEi$$rJ;v3F+g3jC@~9XKx#ELN<>#fL@;R0Iz*4|~ochRe zjH??90V1cdy}LLfB&(+K^3*p&lf;jk4J_EDu@l@95XEND~{ zdfQF*>Oc=_oUSk$iY+PSaDGm)k+XMk1yqfv+{I+rQa7h`6Yt7^yGZ52gASSCmcIm9 zATNRuBycXo$`>(mXm~8ICaL&3W9EhnctE~y1kq>%54^t?1iFZMvikYP%VtkrBF2+fl%T(~ycdhCjkt3F3f){wbw_(0g{Z`L7xeHT8 z6$UiJ-^Hb-@>My3Q51`oZRPu3{^x?)3HvvRy&_W}ihIXs^w?}uh&)VL?PA$Beg1s3 zT1m6xPjS}#xaK7z-;*g}z6CwQh}W^@)>@_UH98+uF_Ltv{rIpmWx`nTAkc^?*opH5 z@U6gtJ>6fx*zZIb({rd65TWaq-*t$-E+OsDBJcB+u>?-ZE-P)HhS6 zd~iK|*>eo%wpC?)s&zTHIv)%KIr-g_k(YnY@Hh~EKYqza=4a{hX};;=E7u7}?L^mq7)-N@O!+Ne z|B3ZU$BBhS0dI;FtuUDJ{^E%p4Kj!vC{!I7=~A_HJD%y~$(m#G2b>M*#c#_%-UqlGih^cw zQ?c)6%-UtZr-4oE4N;If=NLWbHF3C6U82A|7&iBI=*%Lz>1`C_N|1Z7wfP-~1dLYz zjaZvq?hX_#p;=CX#*_=RopaT@-}}rZs#&`FnYw-=LSxLhjb5(1V<;oytk}UeM60Tz zJEV_EDQ9k~Lu$;b!8Ai?Fyf%RYfEWHl_TaYi$o9NBNMr&0=F0|rfV;%t$KQx?WKBHYlNvyB`!&+ zDL5Kww1=6%tC^vl8Svn4K{i{>@Fr_@yJE`0K@V{2 zE-?kpf@CR$TRg-IJ6J4t)q7v_B~_w)BvOB~HWb)v#1KD;D1X(ZOw1yq=h|pZSqB%T zC)5P}<7J_dlSFNGDe<@6F^$4GP-Dhd8i43!z;4W7WR+#|arVGNM|r}uC_fX^)YMc? zXQt>` zP)p5C092-?3B@yCk?nk{e@2r;HKkEa_l@D4S$bPd1Bx*x2MoD+1}groXNzJRcdYt7 zEP7%y0n+$@i~rE6i9sd?U(xqC1A+jKXDN<4c#y%%QlJ6W4o=u2k13X}3{W?F>GzrS z6ScgZ)tb*~qzSdBz5^$9e1<0km(=HDo9^!Vs9X?8(7mzF)WvZHQG(L-SKIjgY+5t_ zEW!k;)L}Gd+y+5y4W)hZNg?j*g8PoYZS-3`p8;qKQ?Bp`dHiVK!03YO) z(1*xaz8Gk&CMOHaIDRHB^H%)KD4j+C+4W?lP4>s<@t2`WpSp8;VhNV1bz(6guWGEq z70mBXOk12zGLym(zLyKt_-*etXOq~*U$>5&0?7zax~wE=Dz$@Yr(#`)yKbWw9Z%9{ zqJg&BHp)Y+dlKMdX>?TSC-oISBRTCan@>g|Kqg}f>mW^w`ClC5(BNWrp8Z2VwTi5b20-V ztU@Y4rz#K@V?XP_19Q#cxLA4x0rSq66MGj&D${UBCAI5MQ3)X&x=4pfAVGB zy`*G07a$Cc8d=eWHK11V&f@}2u&o#W2D6{Gjw}Ux@LFMLiORNcF^?Q_9-wf#%H-6} zd5}^GAW8S`BL8dq+tM|efB=h4vEMVX2vZK=E$FfyhunYxY56r-puGMKv{Lp!#|dr} zzU9YPbYT#rQkzMt_ak zW@Y83TGCmwr{SCjdBtx#8vYUmW)`E2e z5X56PMSj*AJOR_Av-2-RgD*UR==e3m#6EC4#ywRtqZ%MhwDr{=zaDqlMElnu%3y(i z1iFhw;RixGRvT!N$gM8|?74AM(uSdW;QmLa`{r)Vh)~sEi8fcaG-Z$X5V;6$ zc~}!%6;_GX&xSAw21|x=J5GCNZwxLc*`bkR-%iKwtERI|Tg<4( zX#EyMQQ|ZFXFAUC?s<4fg9Cd+Gp}L-l0&-=x{ngGKZXUU(G{o4DB2K$DaEEfZ8vHn zy9?51;)21Ccy`_hvwqgC;^XaWXX@?VijdeVf0OB8(yX@mf%--E*gkzr;~m$D3i&^v zzc&NVyEaV{js>qT!1PS$Cy6$eMsC45K9|FK1* z5=#a7T?mdw$EMM8Hx>Rg$f&>Wr3ph3!2!2y>JUj*W89IJRT<<@3H(z#!vE;ST=m(r z{;2Z)0Sl&<-=Uu&kO9t{04H3he4um_4X~^dv6$y;vF05>KMuFxvtoc%+eNG0~&@b(JsqB4OkEvsC*dL z()v&?V(I5~FRZ-mjTNT++q(p6es*7Gp0&K{iN0mH3`U7g>vULkSQB=5+jl#o{m!~= zx=)@8Jwq~M;s(yC)0y9Jv+Mt4kuCE{{eSI!Ra8`60PZLjh#-xEAl=;{pmZbBEd$bx zbc%F$cX!9o(jX1e-AH%G-Q$1j^}gTp;#zp-#LlnI-U9B9A;i^hTeRxQeFn^T!yZ-Z zYvxd1J0+>+x<0#f*unHEFd9=bA2tmnvlo%@2<1p{6gv=6wnKS99~DP_1UXOTGz(Wn z7*~uF(~#A|=xC^-SY%Rw+|TO( z>9;MK^*#b5sXH_JAl%l1KM|o4NNB3z-|};<$~Pj8>~^t^zvH#4n1mYl3VJq=iHd~U znpP8`h}A^w9@JXXx6bLiNMTqubn1P6`D~cwkFkBR=1Cu33LoP+@TDlGpwiyz09wTA zq2m~7cMQAE5jE2jh{H~1bp+C=57JHLTdO*Em1SHek&aef2fGX_@$zOHwUG(Kj5D4K zA_@jsWc7}5bwtkN&4meBUIM>C?1YN@EBA9n*t^8aQA8eot+b06|2D+9X!RagP`W-vqGKYv)l&%4-(i%0$7O>u zX-)>AOcW*=EMgqb5ML$j-XW&Ge?1nn%XiHJ#n=zfQ4K1Nwmwtx+_lmP@(bP2{d)0Q ze0ThUKW2CTQ_as_+jpD01b#J59GNM}M^A;ABW2&Ocj-sv(J6EKm}*Z)Ervj0UD2{O z)pqe*)B|`e)~$Q9Vj%;cl78p!-A3>9^p21VRRq0(XkR#yJF z&pw~C^oJY9>=>jY!B+mv!a7K+a5*#D8iut9f`=(C#XATuv0rIuel@t*+8daTqk(@A zi%E3Hwy9lAKXJVufQ18gDiM7uEat8e&_KqHr`PwR{n^k;PruxN zq6EHP+ED4F;FYZ7_kj4eLOn0c`GT0(Dz%EUe6Y z)?y3o*?@?JSCxxQI|_4oCgl!c;r`^W@cg7j%GV}r_vz0@Zt^LtRxVyfT*_xI{8|_f z92soMCe<3Oji(qTzJRVzXgXK~o4bY`pYZdUzUF>%{j#_oiV@LoZEw`y_zjktLgZr` z75d1e@x1EL)KkW6fQ6;CxAoCo!&4J|Ua8yJ&rjYQx+rXP9N>gy|Hf*^WwCe@B@=Ra zSUlN5?my*4nw(#c_t2niZ7MT#u?_F?62>li>v@N_Ytvw#luzEJLkF@cO8S+n)54}{?(tx7Rps+kdeXPp~azmrZjei&j$nSV8Z66^Yo)S&x zA3Y{h(%B}I^TI_3*_@0lPzRAARK##&1edGMF}lP61LFZcU{SS%YnS+h8eo8Smor{y z{gT7&=N*NNGVC5K%U6AL(i-w@)MzsX{eu(KJG2{^Ta8{LLuX@L+8NHMql{~NbqT8t z`KX8QN#qNCOW57`EbW{WI@w{acun#iXH;9asNVl83qa@_Yq1bhL}m|G-bukCe9tO$ zFBJtYGHlzQC{~|J&fW^D_-#XjB3DV@&|O&V=E?%X{6jY;O|EoX)W|5R@9(FfDTc#! z9A4Fp(}N6@9aV~WubXcm*H7$Oop@co)!=gmxzpZ08AxOF-B-o*8>*aH`;jaRJv?->+*VOHTcftd+fgAcRF*h z35S{k`wx40)TTw{=%o=1+mg<8HAfCX1Z5oLy?M=v(>w4-D}LVgwaK%*Y00vk9xEo( zh*F&9!rHuTFS0^Q?(2vghg5bP1G2}i>JY}e17jy8cCCb~A9{hGOdOjc9U1G`1$O`T z_6#-qZmR&)zN6LAxa0*9Dneavy}Zx!zH@)K9a}I^ zoIP}FD!)xe>`_|J80)D>epTf!Z@Qkh#e_>t!GLP?Ml~W%+lFCaQj@2u{T!8$%-?79 zB5vi}qJ2M;Uw0!{+fN$efuZdhfSn@UQ6@}#WsS$a$CJl3!Lc{mmx&e?5|W^+n^FlX zcKD{+zJn3+^@_*ht3!(cH7|~b&ZgUmy>Hp&qB>bQ>~8kETgx$w3ptq?C)OecOKQwu zbuNEvkxm79hwWs{a+l9Zz((VXT7VZ4H7kd;{m%wTSMj2Z#eWM6R5le|&fU6)w8C(n zA@TlJIK9S<<~Nvte_-NpF~-2ysC_`)?N@%?#DuWD0>yu@uAb5>J7$80*pv=kmVJu5 zxTcBNk-C|1BPT1v8nJ&hrZl}{dYY8Y>3kGGih^q&jG=9?KKXNygkmfC)#nkDbmo;+ zT7F+wt<->ys2erjKEns(Jrj*@n{F$k;}H#QSovE{2K{U(jQiJ_vR6Ya>n;&zP-`=< z`Y;WIk1{ikbN9MT5|RNO(9<#6oJ^)+PIfYfdyL5@WxbT}xzS0?q{6xL z`HPo(L_Yq0;2`bSP8ji_O6sq?6EIs!GYy!Kb${%wOH!UMkxlj#hH*y(ML`7vi<~L> zXyK2-K;eM$p6sSYW;Aff3CC&3dv9}?qNbu8*U-Q)s-Ji}UUV?Z6*EtIY-b38L!s76 z4Hgc+1TT+h)n6=>=ilVPI+oFSiajtK|16rFPV%2q(=;Q^i{?yHS(#;dFJwa8@&{diotxG$CD~PMWr!3WzX11z+!ge9kJq~!F^3! z@ntAY2rRB0k(ZSD6XBY7UKM!~Mr_M;4|_}V-|Mo*Y2f8M&bkMrb7$s1ytuS;P)5ef zs)9l6Gq6|f{y@w9#o7|iqv>N4Q$vS{?}#6}lg285qD1PQlYH=B{{_u4 zV@i7gQ_xoFYv_=43NZ?Viley|{HUk-p>RsbR%H@pZ)xL;HYh3?66sQ|kMIYq2?P)5 zEj!Hm#O?vv?tBm$`RR+f%TKSs)Q@LjPc!rSf9(?)?(UQOm}rdNv3ecwz5iEIc_F&i z()v0ErCy`OY%>=(4ERY+9r{0`@&J)BXNNZfxqH|0`0cdw;=7K|!8BhA!;@m@|F54; zZs!YsuCK;!7pc4JCdORP4bUmjJug+I_9<#RIvEku@sx%?o?4tn;xCr3te7$c(75}x zwH1Viux!Iw=Sa}qZ+8>@cvyl>W)WxklV|`)hW}2+nexB8pve0@DoAK*!#dlZ4%8Wi z9xS0aKew+!((>XNAi+G9H5zpa(HY=>r*6fxaI#j zm512JU(6?}>bpi$^n0JPZH(J2Tw-G40y(LY-V6<1&yk8%XUcwQkx{I%^B02>T;5*j zY)SKK?V!HP<4xyQi(N)4T$qwpv`~_%kRwV?j9?w4)DG{xAaX>3SRUD)W zpWiKh9$G+@zSBle?DcVUWEJoTt!=e{6^`9wYwa*Ao2vik?ks^u2zVrDYO|Hr(ca zOyJhOG&=Ps--S%9uKW#??{gB4)ru)G_TBt$!k+>g9y+E$V|k zJ<`YN3&y|X#Kb18Jd@uSv-#^w_xX?^3z_ZB-0IB`{1NpvZra;PEf3fXfzktR)yr%`PM! zsthqKt*y|ozaiT={5scg?F}Y-c2JKPg6t-so}hlFVnS>|>mKQ&ZBfkwA4V$Ttq5yE z-u_WW{(Cl?ZGvBEt0G`c4UkXKg|?GY&D8wYzpB%KVv8bUpp~b+8K0;|n+@ z>``k^vD@TXGw5!w7H52!GF>Jd*`?F!GXTg|)7gj`92zs3g3sPUekIvz6J50m_TzJW zF^!?ScEZmoo&!At>F`YCve5{N3n}~Bu3w4st8jPokq0#cAwwgJEHYkaU#48}{!X*o zCZCjM9YO5s!Pk*2D`=&vDVL>+LFi>J0cz24NVVa7QEmBA%S~rl$h+sEI$-j<)OSB4 zpAv0RA@YGh8ba@b0G0LE`5A8$Sxmw)#n}3Bu&{Aap8i(PlWYGAuk9fv_|O8rgYkB82O6;Vgna zcCT4DS}7kUUTPxf-gS<;+18gCj{6LP&+UrR$06zmzwcbEdNbE!Uzt>l_6l5PyPk8V zx}3M0TXXm!g99Vf4v70&YJnNIqVi9J(Dx?|MK1>zr79%QX595v{8+03J zVzn|uWo8cl&j0FyAWM8DAnZP&6c1Lvr5W-4{QI8G6$3J6B65zaW?yfgpqfZb)_fQfbD8stXLhKq^M9Uiv08hIS3c{oI#`{? zJU`Eo{gupRPO2Y*=TBlV2)0KY*T3TV^n|gFoMvTv1S~mb(biu*W!{-BL zjg&{3Bf~cgV6SMLhR<~4E$WQVzQ62h?$PeZc^eyNO{lzbkOs=7yq7#Ur4kc#Er)gi z``uN5qjOxJ9}RWVkTK~-Q83R~#5_v7keAJnpDj3u($80zx}7It(#QtrxQx<;2HV>r zyn}|urS@hEaZcJbjSB_$8p+4|yyN_v&GOb#+V~jrphjcHm1bxXS7^Jz;EpSccH)Pg z9-%+gDg#yz=BdE!8~dVj+ds&6PN%OMq-MY2*X=UgkReAt zWXGHaC0VMyZacDjl*gcTWm`1)T?+9ntmKGvv zXU*6#4v~UuK3#&L==nrAJ?1>Rc`Dwh?t5N=ZenJ2Qws;Qm)&i$tmS}38`s#e3cVa6 zpK5{p*fLB|r0FtK@a9-E@rT>jJpsG1=tC@&UWKbkW47W|Fu2x-ROzk2y}^#8Q~3yQ_{Yd`i_6n znsIsbJVD>Hv2ts*PCzad$0+{ZF7U+ks&9ObrkDLdZ}Qe5)GCr~CuR2X>T7p}qv7HVDhg8j z;*1l=*>KWw!{yQ*!-A6;hsE5zw%>+WKA$_l zDRbUpFL!}N>fn5E#JOapy`S3RDZGa(e{cdYEWAr55VvYe&!3csZ z#d;0VkRQDDUjc)Gs&oh5rF`1jk?&+2*U1^meQ)0W?UO|9#EY$(XW*ZT9DAIN1>yeX zRW$npv~i-MqL!N2mZxmjU{iV+_?SpVsl1(O97EPmFCA9v zQe<`ScBvxP-jlNv49O(vjIv7To;vH+uQ^->U66IhR52XmMCxb48tQ*F1r#hVNb?To zn?bm15E&`U*}cKS58q8OJYugeTD#@Re+>>=TNH!;`*l4nf2c8(OLoLId-1h5wrgNF zPXdphkVy|~w6bCZ=nWAa*T?(PTT|q}@;cQ1luJYIYmL$VY=)#o+q0Cbg013b6EfVlbLF)Sb-{=o&4is{s-T`847+~@@T)z$J$Od(d?$g!wD2i5OK zlo+Y~*>A)q#(3fb>MnsN;Pcd{5v2vHkeKE|+3UYN2NTTuXT0nMiE$c{@B42A| zmoK7jd15X~T>VWbx-zpkWlb~GI;N^?$HnLL^Gf0_t|qz1B+NQNuYa|0-HU%(9PV-< z-)F`FGg|z_^yH(xQx(~}%d4PiZJs^#8=c#iKRe0>hGW0Z*4wprulB^BKnRM}Ek?_J z3`;gY0^drssF#7cHIVeAx)bzuAQ^7k_QYga%q8B;=oB3>APd|~U`>8YtM~3@8%ILQ z?XomMf1H|@Z)x=BlPSB3kvLkwvAosQ)}rOfq`jO5X|a=dwV?30c5&;TGZmKk9h3%4 z1tak&s#!|9GrwOI!LD!HkiSAG7c{Rp6GpCBNHC{l-GF+Y(LdOVXo(`xAqCItV zEyyB1-y^i!3R1SQQsPc;9z|^8e(EpHz1hfpis&|)#*G%Uu~OtU+AD{wOyj!Rob#{` ztNRmMP5Q(1Wu!@gBFOE$e4rKkDibOTvUMTPY zOrzFIV@W%6F^|aO-PnK*Xz(H9va<#s`{TMdv7P!AUjQ4%7E~f5;=*z@ZFJiDwXbP; z@~ak#3&&_>_OSD!8Y3Vl?%k?Gvl#DOyIXZ5vbyjK3f$bbPPvNi&s*Xe_G!xfxAT}z zV#Gt9+f6sr(Oq`o7D)97}EciYpgGRvOluJ%M}JJgi;c>cUWUow=IH%bpy zB-RY|vQs|!Uyn>s>hYcn-+L0Qk_YM(MkS`AUT6ujMThlGBF;p_416fJKZ7O*3@oO8 z2y~~{LaeS=L8oYE1KXIJq;5c`ip&=!M|L~s7E3-K#$Guqxp){*42E@Z?D6;k>gm#L6isflK94Mz^4EMM1BwA=F_$L8QO<$M zgJ3+e=>QV|)Z<0~JuLGb`sjbocl`NQ zG)(|~>EfAWhOusY_$&+o=KW~!)lA!bC7$Oq7u4FE(K~+WbSH;LfaR^a-O5De4ajTw z2FZU`@#@FNYUX#u21u=%z8rgf9mjAVYVsft?33GBt3zBs0VCX>dJC_(8z>40auZV% zYvg_&N2M5A@wVSMLa9Lnf`vG`i9vRxQlVqiP|oW>H}C)Goj7fulyKK?N7nD~77SG> zbq#O%I`!uYhKt9*9{$l~!MFi{)+nU%YitL)&wDw1_Cm;LrR%-t#sph{9V0wh_l6VnV=maEeD}<+og;30r{JmTD!HA3<)2Wp%XI7z9vfa}VgH zRV&8ikxialIw*4uOpJOyzAL|Lcf{p!f1}_Snqzryc}%PCQjeB8=pbLn@uqLiyQ}JA zpv3qUE94T@ae7y=Z1V1k$L#jNEnT<;sEJEALoqtQ)GGIXpFCqhvv6xzy!JEsSqXiD zm7tJbFc@y7j}a4)Y(Kq4vW|q)>+)$sAOQq22lvpThN|fgZ|0zu?zB!k{F!q8FEv?AfpN z%LvE~9bp~7gd@|X2g2`;{eF9kh?mh>gau$(aH#T<-4r|V^eq?^Y8Vo`pQwlavl{(O zwQLnbD3~!LO)6B8C{QVrKD=gKa?V)wwXvSJzn|Sf`wx6No(x|V zVPEk2nTDRj4lw4>2%FCmhTA^??o`l75ItLU@cw?L76$-?*NJ&3P-|&hPlFvfh{x@& zgI;zLx>~S3P#5wHHvRNNg9U%;H>Ft~zixOvt_ogGXY4r(lhgSZY4qn&W@GE?Be*68 z&DrA(*K`0c#kkZ-BP(y+o(DsFGT7biUz9RXH}pMpE&3$5N?hg~psYyTz5{cCD3Inl z^n+_fn4Jnr`=g zrpf0p!i9r3#n>lm4Z5LnPstu;YGZLTxC5RJv>E8% zzbB^PK&7eKeF6d0vhcgp834$n-4t#u9>5PEWwM#QU)BITo5bgArs_bHNx=ZF{nOO$ zKZXdoUFB`_gwx@%Is5C+9cWkn+3i#C>;GY2k}p$UsVwk!;_cqe9S)diEDvT{!c$%4 zclD#%8iBgj;2YQebNObCmb0PONB0gJ$}zgKzwHS`P*N;D8|#zdP1^-mrkHbIOdxv$ zrDx2zSoPD7`%9x$q(;tFS8=%vLfN|jFwZP6p5zMtUCTRrH?I4?WFQr2TZAI#J6A+7 zIQU7E2R0K>_KvIHLesH$-97E04wdqjvR(F{qVHKD> zbZYUn;SG3$=6Cq5nG`E-PCj~0jd_jOKj;*D2K(g{xnuyUhw!IdW4)Vw^0jLUZR^`l z@BTdV-rfNg!?^=)YkUa`(Oc*H?;j@R?*|#9RT*_?v88ZHe8_T2XFM`n?te6Ea@$C7 z8Zp-8aQ9^&MZVa*e*>goLGukZJ#s>v23)%3Hc>!QMFkI9;5z9pRtXfRz{AAVU}2!< zQ##SR@^449$cfzA=nRW$W;+qn5wPkPsT{9Bj{*~giYc=y5IUiG0z5GT7=rptz_3Ut zy(m>J7>8;OS}gkInOHe2C)Y)jPbHq;8OrzCuGJa-?C#y#yw(Ba1{#+)!R5YQ-@4jd zoLV{_bQ3*BP6Rx6)aEH-cDZ+5M#~DDj+fr)ofsCGW(U&HNb!KciZDB8Li40+9CUgY zT6TdqNngz$T?|`e zJdaAJ7;HnH!;?3lef8hmnwZ}2hvC*3sTOGT-&SoGulCq!Haj*920IsMI&3Dq_%_zL zw;TQ9?ICZ)7a5|xLASh7hJg8?40CD^*w8dfOW#P7@i9h!({SL9xjalW z2c84A)IiHL^%--C5staL=ZeAa^+>!>pp$?u-Pr&0=K6W zWwbd&S~&E@La>PL$hv*%-FVOdmfR|4HaCa+k24Dv!}e{bNR!T~0RiRlyeaJh&R;JA zP&>+e&TW*klvXbaIT-aV-KSu{%0O|<#VrXtuipW&2$#wS%jg}n0kU7+ca-&D7bL)f#{h(A*5D<(|@G;F67Ri;pi4 z|6MH5z%xU#MtF~ldG@l&J^i2_3Ll$ccF+%i0RV`FwZ14SGAax4 z@I_o~Z|M_-GlVT+y;*?&Kh52ny}-Q=AZ@bGd(6Lt0P$`kc=!0O(=xh)r#-N(7B_iIe?1QrpeHW73Xp`Lc`|B@ zIzfX`x6Y^p31&f2fgcR&)^U-%c~hKjnV5`*#YE1*zO!mg`UwN6p$mrr2 zpUI0z#`XeriS-6X5dnOm@JC4+cf%E9E(83V&&)dM$*Ji3JCgG{VehJOfsICTb6*O@ zAx>mni#MOj+?1IG9)^RJ$oxEqTZhNzN52{eVi2| z_HAv;aUjb=w>yd`AY_bR_u?QBj7#{s0A@*j#n-?6H&-U(3M;fZEP|uVS2J(M>%Rl2a{s) zl{+Ks1$Gkd!N*-#Xegq-qEC~7ANdl5e|oR=ba9<1rWIzK=kW@gzfk!s@vnWu#KiX3 zsf;*@D+KCVFX#lM-PY>~oHhOV8CI!@U_cGb+vpiW^4q555q7OQXu#0=p}V|4E^ivM zeq4?wR^LeQMx37rZo^3FvC!||qJufcPiIbCrg(hpj&A|~N8FSHlWAEXPm2)GLrg>* zSXno6f!5iJuU^mrkTo^BE~Cu@Uy*(Dh^h3kP10_*R<-lSVskKg#$DE?LvbzKs+5r9 zO@WpK?a{jz)S7TH+qJQ~?HfPDLOLWP&4r#Ok%zhS~SoJiH}>s0m6O=TQH z=F@%p^m=vY!r)h@>h+JlILAKHZXq^6<-?_bSLJEpYrnj>PQuB}fs-g5<96{HT~}#U z=8v!6gINrCnW&+MO4Nc6J2!fZAop=zbPEA-E7BwWk}jwi+g`3|uuGyN^kBP_+v2@w zV{K2?lUe+0`jLj}KUTZMw#a(_cz?_(9`|4FK0@Jxy2U>i=7gq8#+^D+?!ka%! zyzyGX@e>2fhg3Ja5sv<>{($1%5WBY~tKAYM)p-x4l5>UBV+YQQy2o_%r;E2g!!=ra zPPzfU#nZ-LDAPdad4nadJ1IhJ23lBuT1qm4##`Hui3ZI=!yX6AZ!VGWqkJrEegCv+UF9p3QufoFJ1z zF5oaEC!2Q>Ct(pWApo2Nr(7+skBH?ywm&`Nq(xe!_Kz2ER{fc;IAC9T`Ehff4e}&3 z#Sbol6f;}s49~z=$zYmzAR3jy1+dHVN^l}29o;zizJ1TcYR>J%RGwONGR-cceCdD8LG;|6zf_Ff=95V7s6XLY#-PK`x|J2HIP6;Rl@ zgb&_|f!_lh<7Wftc&rXS?Zw}fTMhEy&NMWTvRmAd7tPg6qGJfB1Wpviznf{`5tyk( zbBfak>TSd-TvMmukVP;24RS#ppR<+B=e@ITMmK3$vq<0qGkWAspjv`Pt=W2DQz5oE z6p(8N+j~)%8;=}%sl;0BDD`3YkZ9(l!)lI|2_BpMjM{S|60?BIeSmsHj?a~ zI%}MN-QK=Ecl!hi5JY6Xh_m=*l*&bpulIy@0k}RWMidRd9=>Ty2nVZWP3U_vP;yBP;c~QuoDYOnTPzr(mbBXd6 ze83LIMsiui$%&r%R|d6iAznYxxFy9)Iu={O%{w9(YKed&3IcVKGldahNl0Mi&uke= z;H1P<;de$#*}1ABZPvdb$lNa?C(R`Wr=}!xBB*jv!-Z5nyJt51GtGoF06zI4ZemeHj}R2 zp>(Xajld>A-X+LjIkO&X{wZ>h{_gr(p^%ER){)I( z52=5%R6`W-6^B&|K{T)pgZI$c@8X8nfG+dgWQ~WSo;ou%&l{?Bj0CUU~MH|BZ9&BTd1?E zJIn9xyP$HC@7uz-(5*c|+7Cd1cd$F85ph%b=nqHPY?6buMQfS?4Q zqgAdaOd?=)Ya5%HVwy$M5)!Wae#4p8pt_bprdq_Rd_S3;Bldc0z7FBswO+_Hf({6_ zp)H&;2B=!j&O9(~9z56mYOMTmTs~bQAZ;pv%|*X^j2?|7i&)WuW(!C(#nv>H7&^x| zu#QwPn}yNkDR-AM6qGJ+;xjolH->Ho?4D~?x!63}C|=CE7&Jvtjzw~3kXK+8f&5ba z`$W`RU}8vqeLb_4rM|bQe3cKd!%z;d8f>RiavhmUN;s2C{kS*}RI1l~zr`I(d5)1v$0b4%+g5P{ya%hOc? zq%k-zs0#>^c$I*yus?Oz9iyGk=xTV6vmu=$C6sK50;Xodqw z!M-hX1yngbvWBkv4-iXRrMF2cilp>Rh#1&-H6@CRj_-I4^7VO2BIR(-+%6wQ%@d)X znmvMCPWmx|b$x<>Xayn{U;j)fS`Vd{^UE%Bv37x}<8^GBySM;gBPy&$Nw^b|F4CPH zog{Q5k~VV`mm}Bql3J(*83*;*^z;)A(vhHmiS}#{Vt(^(7Bspv9)?u0e^Oinr&v={ zKLfg8Oa~b3CtT=K0^?UjB=p;R6z5l)D^e$c8wOZW7E8|h@v&i6E#>=hIxz1Sef~$k zI&kM@RR>z<3n_MYlSj%NDK&Vx0|$hJ#)(&!m@titvnM777iA|{)PE`kLR`cdzk&Z>u#RMHP6B%2BM6!C)i^!P=${8N)-!j+UzyZv|L&#W15oR$ zI(x8%QkdN=45_Wl`eGL)R^;81N(8$`q2*1pTm?);3Cx(#v10^6L*#>ka z2&DUZ0VLp%c;OjLKVww#Ng-0XG>MOcKNlZGVTtrf@Y09ERUU9jy{OAYeWPaj#pAxw zgzJ_kKs$y&vI_}!-_3aw{3~uYz&p|6X-WQ4Kt4kIjng}=HQw^)Pp=f_KS)|yAE7zD zhTl?=AAT_0bj6QGbl9eB}Y7`KA>8m-7ph~1Uu{`Lw6tKx~R;DJH4+P@d; z4+WQ33@rM?l2CdeL^okv{sA-^h=YNCv+~1pK7&xV~-?!*|gcLdk`;rjEg` zsiKwLU5_B!(>&=~yxvs^|6ct^oCZd?A|)M_&~fkp1Y)a0&U_#&F+(>nU&#Yl!7#q_ zrMFS_zq(fp0asN`1_{=+Z}Skyn!!9=hZR8W8)nPF%odJ$nCZ zUebiEd%NvB$if<(~%(`gtF&)ofLN@NgCrDwrd|^$G_>?5WZNGGM&|ocNm#C6 zO3r76%CbM4&SfH0Zkl=iyQCg3{6xic(5et|VkMzms0?XB$u$1sUNOlVfkZHNH*^ra z`!6<3>jz3V91$Lhw34gYfPIYiyE$s8a{7Z`o1>|7ute_9W=eph96A_*3$M6%R8Ypm zFF_ZxyqbE!WXcBjV1d2--^HXrsKhTXfvl?tTd+s$S{!*C7qk*AYo3sSwD+4exFvF6l~Y2 z%`R)g*!GBh`ugg}1l@TlkAk`;A5jkS^Mrzd6bsnx@S+|M0HyNp z2$!;hdi?7Gettpi@PsG)5F>{_ M2 SXR Flare Catalogue +========================================= + +.. contents:: The tiny table of contents + +The catalogue will contain the > M2 Soft X- Ray (SXR) flares from 1995 to 2017. The columns in the table are defined as follows: (1) event number; (2) date of the SXR flare; (3) peak time of SXR flare; (4) peak SXR classification (saturated events flagged with an S in which case (3) refers to the onset of saturation); (5) flare location; (6) time-integrated SXR intensity (nominally between the 1/3 power points on rise and fall); (7) time-integrated 1 MHz Wind/WAVES intensity from 10 minutes before the onset of integration for the SXR burst to 10 minutes after the SXR burst peak; (8) Waves frequency used. + +**Providers**: + +- **GOES** - sources: + + - 1-8 Å soft X-ray flux + - http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html +- **Wind** - sources: + + - Waves 1 MHz radio flux + - ftp://solar-radio.gsfc.nasa.gov/ + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - xlsx + + +| **Sample**: https://docs.google.com/spreadsheets/d/1VU7WudVr_W81M7c8KldIwKS8-dqGXWrU/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_na_mercexo_image.rst b/docs/source/products/data/inaf_na_mercexo_image.rst new file mode 100644 index 0000000..fcc219f --- /dev/null +++ b/docs/source/products/data/inaf_na_mercexo_image.rst @@ -0,0 +1,38 @@ +========================================= +INAF Bidimensional maps of Mercury Na exosphere +========================================= + +.. contents:: The tiny table of contents + +Dataset of observations of Mercury's exosphere in the sodium D lines. Data are taken from the ground-based solar telescope THEMIS (years 2009-2013). They have been produced in both D1 and D2 lines (when both available) and converted into bi-dimensional maps of Rayleigh emission. Estimation of the “seeing” parameter is included in the jpeg files. Here the original fits files are given too for the whole database (2007-2014), and it may be expanded to the most recent data from 2021 and 2022 (TBC). Data can be provided both uncalibrated and/or calibrated (TBD). + +**Providers**: + +- **THEMIS solar telescope ** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T17:15:42+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: spectral-cubes + +| **Data formats**: - fts + + +| **Sample**: https://drive.google.com/file/d/1AFgzCjHNFMLXNNFVL9He7mBPKBE7k2E0/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI + diff --git a/docs/source/products/data/inaf_p_svirco_timeseries.rst b/docs/source/products/data/inaf_p_svirco_timeseries.rst new file mode 100644 index 0000000..2f2e0fc --- /dev/null +++ b/docs/source/products/data/inaf_p_svirco_timeseries.rst @@ -0,0 +1,42 @@ +========================================= +INAF SVIRCO NM Pressure +========================================= + +.. contents:: The tiny table of contents + +Average of pressure from Rome neutron monitor. Resolution: 1day + +**Providers**: + +- **SVIRCO neutron monitor** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-28T13:31:08+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - ASCII + + +| **Sample**: https://drive.google.com/file/d/17ahUkpirH-DUWnqBr731ExAgjMBGNeJ4/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_s1sep_tableset.rst b/docs/source/products/data/inaf_s1sep_tableset.rst new file mode 100644 index 0000000..268b27c --- /dev/null +++ b/docs/source/products/data/inaf_s1sep_tableset.rst @@ -0,0 +1,53 @@ +========================================= +INAF S1 SEP Catalogue +========================================= + +.. contents:: The tiny table of contents + +The catalogue contains SEP events observed at the Earth of class S1, i.e. with flux in the range [10, 100) pfu, at >10 MeV from 1995 and their properties (onset, peak flux, fluence) as well as features of the associated flare (peak time, class, location), CME (lift off, position, angle width, speed) and radio burst (occurrence of type II or IV). The SEP events having flux >= 100 pfu at > 10 MeV are listed in the companion table S2 SEP Catalogue. + +**Providers**: + +- **GOES** - sources: + + - 1-8 Å soft X-ray flux, proton flux + - http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html +- **SOHO/LASCO CME Catalog** - source: + + - https://cdaw.gsfc.nasa.gov/CME_list/ +- **Wind** - sources: + + - Waves 1 MHz radio flux + - ftp://solar-radio.gsfc.nasa.gov/ + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - xlsx + + +| **Sample**: https://docs.google.com/spreadsheets/d/1leYT7LT1H0JNKZtFZMQQsm3XhNkYifJM/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_s2sep_tableset.rst b/docs/source/products/data/inaf_s2sep_tableset.rst new file mode 100644 index 0000000..3346c00 --- /dev/null +++ b/docs/source/products/data/inaf_s2sep_tableset.rst @@ -0,0 +1,53 @@ +========================================= +INAF S2 SEP Catalogue +========================================= + +.. contents:: The tiny table of contents + +The catalogue contains SEP events observed at the Earth of class S2, i.e. with flux >100 pfu, at >10 MeV from 1995 and their properties (onset, peak flux, fluence) as well as features of the associated flare (peak time, class, location), CME (lift off, position, angle width, speed) and radio burst (occurrence of type II or IV). The SEP events having flux in the interval [10, 100) pfu at > 10 MeV are listed in the companion table S1 SEP Catalogue. + +**Providers**: + +- **GOES** - sources: + + - 1-8 Å soft X-ray flux, proton flux + - http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html +- **SOHO/LASCO CME Catalog** - source: + + - https://cdaw.gsfc.nasa.gov/CME_list/ +- **Wind** - sources: + + - Waves 1 MHz radio flux + - ftp://solar-radio.gsfc.nasa.gov/ + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - xlsx + + +| **Sample**: https://docs.google.com/spreadsheets/d/1gCs2nKrZwW9egaU4xGTZXuerfGXkhd0b/edit?usp=sharing&ouid=115498353997648557775&rtpof=true&sd=true + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_swflux_merc_tableset.rst b/docs/source/products/data/inaf_swflux_merc_tableset.rst new file mode 100644 index 0000000..d44663d --- /dev/null +++ b/docs/source/products/data/inaf_swflux_merc_tableset.rst @@ -0,0 +1,45 @@ +========================================= +INAF Simulated Maps of SW Flux at the Surface of Mercury +========================================= + +.. contents:: The tiny table of contents + +Simulated flux maps of SW precipitating onto the surface of Mercury for a subset of IMF condition, with surface resolution of 1° (LAT/LON) and IMF binning of 5 nT (from -20 to 20 nT) + +**Providers**: + +Missing providers + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-04T16:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - PNG + + +| **Sample**: Simulated_SW_Flux + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA) +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- ext 2330.1 MANCA DALLA LISTA A TENDINA: MANCA DALLA LISTA A TENDINA??? + diff --git a/docs/source/products/data/inaf_tps_datacube.rst b/docs/source/products/data/inaf_tps_datacube.rst new file mode 100644 index 0000000..7cc05c6 --- /dev/null +++ b/docs/source/products/data/inaf_tps_datacube.rst @@ -0,0 +1,48 @@ +========================================= +INAF Test Particle Simulation on Magnetic Clouds +========================================= + +.. contents:: The tiny table of contents + +Galactic cosmic ray intensity variations associated to the passage of magnetic clouds. The particle intensity variation is estimated through a dedicated full-orbit test-particle simulation. + +**Providers**: + +- **Solar Modulation Parameter Table Oulu NM** - source: + + - https://cosmicrays.oulu.fi/phi/phi.html +- **Grad-Shafranov reconstruction maps** - source: + + - in ASPIS + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: spectral-cubes + +| **Data formats**: - mat + + +| **Sample**: https://drive.google.com/file/d/1DueJgqzWtUO3-ptb1AmgaotZuIaPYEzY/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_vbcorr_psp_tableset.rst b/docs/source/products/data/inaf_vbcorr_psp_tableset.rst new file mode 100644 index 0000000..a935fe0 --- /dev/null +++ b/docs/source/products/data/inaf_vbcorr_psp_tableset.rst @@ -0,0 +1,47 @@ +========================================= +INAF PSP velocity-magnetic field correlation coefficient data of solar wind streams +========================================= + +.. contents:: The tiny table of contents + +The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two. + +**Providers**: + +- **Parker Solar Probe** - sources: + + - Solar Wind Electrons Alphas and Protons investigation (SWEAP) + - FIELDS + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-06T10:39:35+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - ascii + + +| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- int2320.2: metadata mapping +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_vbcorr_solo_tableset.rst b/docs/source/products/data/inaf_vbcorr_solo_tableset.rst new file mode 100644 index 0000000..8102c4c --- /dev/null +++ b/docs/source/products/data/inaf_vbcorr_solo_tableset.rst @@ -0,0 +1,47 @@ +========================================= +INAF SolO velocity-magnetic field correlation coefficient data of solar wind streams +========================================= + +.. contents:: The tiny table of contents + +The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two. + +**Providers**: + +- **Solar Orbiter** - sources: + + - Solar Wind Analyzer - Proton and Alpha Sensor (SWA-PAS) + - Magnetometer (MAG) + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T18:38:35+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - ascii + + +| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- int2320.2: metadata mapping +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_vbcorr_wind_tableset.rst b/docs/source/products/data/inaf_vbcorr_wind_tableset.rst new file mode 100644 index 0000000..4a17c72 --- /dev/null +++ b/docs/source/products/data/inaf_vbcorr_wind_tableset.rst @@ -0,0 +1,47 @@ +========================================= +INAF Wind velocity-magnetic field correlation coefficient data of solar wind streams +========================================= + +.. contents:: The tiny table of contents + +The velocity - magnetic field (v-b) correlation coefficient unables to identify Alfvénic solar wind intervals (along with almost constant magnetic field magnitude and proton number density). It is derived as the ratio between the covariance of velocity and magnetic field (in Alfvén units) components and the product of their standard deviations, in a time window ranging between tens of minutes to hours. In principle, this formula should be applied to every component of the velocity (V_i) and magnetic fields (B_i) (with i = R, T, N in RTN coordinate system or i = X, Y, Z in GSE coordinate system). The total correlation coefficient is then derived as the average from the three components. However, for the sake of simplicity, we consider only the N component since more Alfvénic than the other two. + +**Providers**: + +- **WIND** - sources: + + - 3-D Plasma and Energetic Particle Investigation (3DP) + - Magnetic Field Instrument (MFI) + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-06T10:39:35+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - ascii + + +| **Sample**: https://drive.google.com/file/d/1C7lxF193kgoyLwgAU_3UzE29kWigLTQ9/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- int2320.2: metadata mapping +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_walen_cluster_tableset.rst b/docs/source/products/data/inaf_walen_cluster_tableset.rst new file mode 100644 index 0000000..4e3aa65 --- /dev/null +++ b/docs/source/products/data/inaf_walen_cluster_tableset.rst @@ -0,0 +1,49 @@ +========================================= +INAF Reconnection test results (CLUSTER) +========================================= + +.. contents:: The tiny table of contents + +The Walén test quality index is derived from the density, velocity and magnetic field measurements provided by the CLUSTER mission during magnetopause crossings + +**Providers**: + +- **CIS and FGM data provided by the CLUSTER mission ** - sources: + + - https://cdaweb.gsfc.nasa.gov/ + - CIS Principal Investigator: I. Dandouras (IRAP) + - FGM Principal Invastigator: E. Lucek, (IC) + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-29T18:30:57+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - ASCII + + +| **Sample**: Walén_test_CLUSTER + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA) +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- ext 2330.1 MANCA DALLA LISTA A TENDINA: MANCA DALLA LISTA A TENDINA??? + diff --git a/docs/source/products/data/inaf_walen_mms_tableset.rst b/docs/source/products/data/inaf_walen_mms_tableset.rst new file mode 100644 index 0000000..86dd7e3 --- /dev/null +++ b/docs/source/products/data/inaf_walen_mms_tableset.rst @@ -0,0 +1,47 @@ +========================================= +INAF Reconnection test results (MMS) +========================================= + +.. contents:: The tiny table of contents + +The Walén test quality index is derived from the density, velocity and magnetic field measurements provided by the Magnetospheric Multiscale Mission (MMS) mission during magnetopause crossings + +**Providers**: + +- **FPI/DIS and FGM data provided by the MMS mission ** - sources: + + - https://cdaweb.gsfc.nasa.gov/ + - Fast Plasma Investigation (FPI) Lead Co-I, Phase E: Dr. Daniel Gershman, NASA GSFC, (from 2020) + - Flux Gate Magnetometer Lead Co-I: Prof. C. T. Russell, UCLA + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-29T18:30:57+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - ASCII + + +| **Sample**: Walén_test_MMS + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/inaf_walen_themis_tableset.rst b/docs/source/products/data/inaf_walen_themis_tableset.rst new file mode 100644 index 0000000..a200160 --- /dev/null +++ b/docs/source/products/data/inaf_walen_themis_tableset.rst @@ -0,0 +1,49 @@ +========================================= +INAF Reconnection test results (THEMIS) +========================================= + +.. contents:: The tiny table of contents + +The Walén test quality index is derived from the density, velocity and magnetic field measurements provided by the Time History of Events and Macroscale Interactions during Substorms (THEMIS) mission during magnetopause crossings + +**Providers**: + +- **ESA and FGM data provided by the THEMIS mission ** - sources: + + - https://cdaweb.gsfc.nasa.gov/ + - ESA Principal Investigator: C. W. Carlson (UCB) + - FGM Principal Invastigator: K. H. Glassmeier, TU-BS + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-29T18:30:57+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - ASCII + + +| **Sample**: Walén_test_THEMIS + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- 2320.2 meta data mapping: meta data mapping (MANCA NELLA TENDINA) +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- ext 2330.1 MANCA DALLA LISTA A TENDINA: MANCA DALLA LISTA A TENDINA??? + diff --git a/docs/source/products/data/infn_saandose_samadha_timeseries.rst b/docs/source/products/data/infn_saandose_samadha_timeseries.rst new file mode 100644 index 0000000..b6d3d2e --- /dev/null +++ b/docs/source/products/data/infn_saandose_samadha_timeseries.rst @@ -0,0 +1,37 @@ +========================================= +INFN SAMADHA neutron dose rate at Mount Chacaltaya +========================================= + +.. contents:: The tiny table of contents + +SAMADHA (South Atlantic Magnetic Anomaly Dosimetry at High Altitude) is an INFN project aimed to monitor the neutron dose rate due to cosmic rays at the Chacaltaya Station (Bolivia, 5200 m) inside the South Atlantic Anomaly region, to study possible correlation between space weather events and dose rate at the ground, considering the proximity of the Van Allen Belts to the Earth's surface in the SAA region. + +**Providers**: + +- **SAMADHA project** - source: + + - neutron dosimeter (rem counter) + + +| **Product Type**: data + +| **Status**: Inactive + +| **Creation date**: 2022-04-29T16:11:31+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +ND diff --git a/docs/source/products/data/infn_tgndose_samadha_timeseries.rst b/docs/source/products/data/infn_tgndose_samadha_timeseries.rst new file mode 100644 index 0000000..ee394ac --- /dev/null +++ b/docs/source/products/data/infn_tgndose_samadha_timeseries.rst @@ -0,0 +1,37 @@ +========================================= +INFN SAMADHA neutron dose rate at Testa Grigia +========================================= + +.. contents:: The tiny table of contents + +Monitoring of the neutron dose rate due to cosmic rays at the Testa Grigia Station (3480 m, Cervinia, Italy), to study possible correlation between space weather events and dose rate at the ground. This measurement is part of the INFN project SAMADHA (South Atlantic Magnetic Anomaly Dosimetry at High Altitude) aimed to monitor the neutron dose inside the South Atlantic Anomaly (SAA) region in Bolivia. The data taken at Testa Grigia are a term of comparison for those collected in the SAA region. + +**Providers**: + +- **SAMADHA** - source: + + - neutron detector (rem counter) + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T16:11:31+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +ND diff --git a/docs/source/products/data/ingv_alert_aqu_timeseries.rst b/docs/source/products/data/ingv_alert_aqu_timeseries.rst new file mode 100644 index 0000000..2d72dc8 --- /dev/null +++ b/docs/source/products/data/ingv_alert_aqu_timeseries.rst @@ -0,0 +1,49 @@ +========================================= +INGV L'Aquila GIC level alert +========================================= + +.. contents:: The tiny table of contents + +From both components of GIC index for L'Aquila observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2130.4: Scheduled computation +- ext2230.4: Computation: ASPIS.py + diff --git a/docs/source/products/data/ingv_alert_cts_timeseries.rst b/docs/source/products/data/ingv_alert_cts_timeseries.rst new file mode 100644 index 0000000..8819bcb --- /dev/null +++ b/docs/source/products/data/ingv_alert_cts_timeseries.rst @@ -0,0 +1,49 @@ +========================================= +INGV Castello Tesino GIC level alert +========================================= + +.. contents:: The tiny table of contents + +From both components of GIC index for Castello Tesino observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2130.4: Scheduled computation +- ext2230.4: Computation: ASPIS.py + diff --git a/docs/source/products/data/ingv_alert_dur_timeseries.rst b/docs/source/products/data/ingv_alert_dur_timeseries.rst new file mode 100644 index 0000000..9ae57ee --- /dev/null +++ b/docs/source/products/data/ingv_alert_dur_timeseries.rst @@ -0,0 +1,49 @@ +========================================= +INGV Duronia GIC level alert +========================================= + +.. contents:: The tiny table of contents + +From both components of GIC index for Duronia observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2130.4: Scheduled computation +- ext2230.4: Computation: ASPIS.py + diff --git a/docs/source/products/data/ingv_alert_lmp_timeseries.rst b/docs/source/products/data/ingv_alert_lmp_timeseries.rst new file mode 100644 index 0000000..8c5461e --- /dev/null +++ b/docs/source/products/data/ingv_alert_lmp_timeseries.rst @@ -0,0 +1,49 @@ +========================================= +INGV Lampedusa GIC level alert +========================================= + +.. contents:: The tiny table of contents + +From both components of GIC index for Lampedusa observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2130.4: Scheduled computation +- ext2230.4: Computation: ASPIS.py + diff --git a/docs/source/products/data/ingv_autoiono_bbla_timeseries.rst b/docs/source/products/data/ingv_autoiono_bbla_timeseries.rst new file mode 100644 index 0000000..8a04ba3 --- /dev/null +++ b/docs/source/products/data/ingv_autoiono_bbla_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Autoscaled data Bahia Blanca Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Ionospheric parameters (foF2, foF1, ftEs, h'Es, MUF(3000)F2, M(3000)F2) as automatically measured by the AIS-INGV ionosonde installed at the ionospheric station of Bahia Blanca + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-20T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1UcgQyPUV0iRVqQH1HeZU_JCtGnLPFEXC/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/bbj3r_auto: Web service endpoint + diff --git a/docs/source/products/data/ingv_autoiono_gibi_timeseries.rst b/docs/source/products/data/ingv_autoiono_gibi_timeseries.rst new file mode 100644 index 0000000..c795bce --- /dev/null +++ b/docs/source/products/data/ingv_autoiono_gibi_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Autoscaled data Gibilmanna Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Ionospheric parameters (foF2, foF1, foE, ftEs, hmF2, hmE, h'Es, MUF(3000)F2, M(3000)F2) as automatically measured by the AIS-INGV ionosonde installed at the ionospheric station of Gibilmanna + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-19T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1C4xMpwbbQMeRjtlVbCHnMRFN1p20xWOA/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/gm037_auto: Web service endpoint + diff --git a/docs/source/products/data/ingv_autoiono_rome_timeseries.rst b/docs/source/products/data/ingv_autoiono_rome_timeseries.rst new file mode 100644 index 0000000..eb2e09f --- /dev/null +++ b/docs/source/products/data/ingv_autoiono_rome_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Autoscaled data Rome Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Ionospheric parameters (foF2, foF1, foE, ftEs, hmF2, hmE, h'Es, MUF(3000)F2, M(3000)F2) as automatically measured by the AIS-INGV ionosonde installed at the ionospheric station of Rome + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1xbQN9F_L_R3x_gXI3YBkwlv_ZVaNDPTV/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/rm041_auto: Web service endpoint + diff --git a/docs/source/products/data/ingv_autoiono_tucu_timeseries.rst b/docs/source/products/data/ingv_autoiono_tucu_timeseries.rst new file mode 100644 index 0000000..6b3e487 --- /dev/null +++ b/docs/source/products/data/ingv_autoiono_tucu_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Autoscaled data Tucuman Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Ionospheric parameters (foF2, foF1, ftEs, h'Es, MUF(3000)F2, M(3000)F2) as automatically measured by the AIS-INGV ionosonde installed at the ionospheric station of Tucuman + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-20T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1IWVF_Oo4Np7n8tuPXXxjc_991gdu1Ga2/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/tuj2O_auto: Web service endpoint + diff --git a/docs/source/products/data/ingv_b_swarm_image.rst b/docs/source/products/data/ingv_b_swarm_image.rst new file mode 100644 index 0000000..dd738ce --- /dev/null +++ b/docs/source/products/data/ingv_b_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm vector magnetic field maps +========================================= + +.. contents:: The tiny table of contents + +Vector magnetic field maps in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in nine .jpg or .png files mapping the three components of the vector magnetic field in polar and equatorial projections (3 images for the three components) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 300 kB. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/1hyNQW6Gk_AaqXG3KGbKtRZ7c1KCAjTZu/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_b_swarm_timeseries.rst b/docs/source/products/data/ingv_b_swarm_timeseries.rst new file mode 100644 index 0000000..107b933 --- /dev/null +++ b/docs/source/products/data/ingv_b_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of vector geomagnetic field +========================================= + +.. contents:: The tiny table of contents + +In situ time series of vector geomagnetic field derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of one has a size of about 14.5 GB. The sample file attached is extracted from one month of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1OYqsJFyLOpuHCv7C90iN1YiX7K5wDerE/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_be_swarm_image.rst b/docs/source/products/data/ingv_be_swarm_image.rst new file mode 100644 index 0000000..0ab2e87 --- /dev/null +++ b/docs/source/products/data/ingv_be_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm external vector magnetic field maps +========================================= + +.. contents:: The tiny table of contents + +Maps of vector magnetic field of external origin (i.e., obtained from the difference between the observed total field and a model of the main field) in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in nine .jpg or .png files mapping the three components of the vector magnetic field in polar and equatorial projections (3 images for the three components) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 300 kB. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/13CvC3-FP3UyZ2Bg9XseP4Zzxp-6u8W5O/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_be_swarm_timeseries.rst b/docs/source/products/data/ingv_be_swarm_timeseries.rst new file mode 100644 index 0000000..82900e8 --- /dev/null +++ b/docs/source/products/data/ingv_be_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of external vector geomagnetic field +========================================= + +.. contents:: The tiny table of contents + +In situ time series of vector geomagnetic field of external origin (i.e., difference between the observed total field and the modelled main field) derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of one has a size of about 13 GB. The sample file attached is extracted from one month of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1mA4cJG6aheoLylI-g4ywwSCFU1vvttfT/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_bep_swarm_image.rst b/docs/source/products/data/ingv_bep_swarm_image.rst new file mode 100644 index 0000000..bae43e2 --- /dev/null +++ b/docs/source/products/data/ingv_bep_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm projected vector magnetic field maps +========================================= + +.. contents:: The tiny table of contents + +Maps of vector magnetic field of external origin (i.e., obtained from the difference between the observed total field and a model of the main field) projected along the directions parallel and perpendicular to the main field in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in six .jpg or .png files mapping the two projected components of the external vector magnetic field in polar and equatorial projections (3 images for the two components) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 400 kB. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/1uulMEArObSwF4VOeCORGiwqj3E-1J4tO/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_bep_swarm_timeseries.rst b/docs/source/products/data/ingv_bep_swarm_timeseries.rst new file mode 100644 index 0000000..15ff5cb --- /dev/null +++ b/docs/source/products/data/ingv_bep_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of projected vector geomagnetic field +========================================= + +.. contents:: The tiny table of contents + +In situ time series of vector geomagnetic field of external origin (i.e., difference between the observed total field and the modelled main field) projected along the directions parallel and perpendicular to the main field derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of one has a size of about 13 GB. The sample file attached is extracted from one month of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Vector Field Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1Xk3pLMGF7Ktg6s9UdZbBHkp1xjg3p62e/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_bvect_cses_tableset.rst b/docs/source/products/data/ingv_bvect_cses_tableset.rst new file mode 100644 index 0000000..7215b74 --- /dev/null +++ b/docs/source/products/data/ingv_bvect_cses_tableset.rst @@ -0,0 +1,41 @@ +========================================= +INGV CSES-01 on track values of vector magnetic field +========================================= + +.. contents:: The tiny table of contents + +In situ time series of vector magnetic field derived from the CSES-01 satellite from 1 January 2019 to 30 September 2021. The output is a single .txt formatted file for both diurnal and nocturnal orbits, each of which has a size of about 3 GB. The sample file attached is extracted from one minute acquired by CSES-01 + +**Providers**: + +- **CSES-01 mission** - source: + + - High Precision Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1Pw-9K9iSgmShWu5faeYLAA_xnNYJJji1/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_evect_cses_tableset.rst b/docs/source/products/data/ingv_evect_cses_tableset.rst new file mode 100644 index 0000000..cc72db7 --- /dev/null +++ b/docs/source/products/data/ingv_evect_cses_tableset.rst @@ -0,0 +1,41 @@ +========================================= +INGV CSES-01 on track values of vector electric field +========================================= + +.. contents:: The tiny table of contents + +In situ time series of vector electric field derived from the CSES-01 satellite from 1 January 2019 to 30 September 2021. The output is a single .txt formatted file for both diurnal and nocturnal orbits, each of which has a size of about 3 GB. The sample file attached is extracted from about ten minutes acquired by CSES-01 + +**Providers**: + +- **CSES-01 mission** - source: + + - Electric Field Detector + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1xPLSlHW3WSOFR7NRzvoQQD2YXKeEagEl/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_field_cses_image.rst b/docs/source/products/data/ingv_field_cses_image.rst new file mode 100644 index 0000000..c999cbb --- /dev/null +++ b/docs/source/products/data/ingv_field_cses_image.rst @@ -0,0 +1,40 @@ +========================================= +INGV CSES-01 vector magnetic and electric field maps +========================================= + +.. contents:: The tiny table of contents + +Vector magnetic and electric field maps in quasi-dipole latitude vs magnetic longitude derived from the CSES-01 satellite data acquired from 1 January 2019 to 30 September 2021. The output consists in six .jpg or .png files mapping vector magnetic and electric fields in equatorial projection in the dayside and the nightside (2 images each of the six components of electric and magnetic fields). Each map has a size of about 200 kB. No sample file attached. + +**Providers**: + +- **CSES-01** - sources: + + - High Precision Magnetometer + - Electric Field Detector + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_aqu_timeseries.rst b/docs/source/products/data/ingv_gic_aqu_timeseries.rst new file mode 100644 index 0000000..0780d9a --- /dev/null +++ b/docs/source/products/data/ingv_gic_aqu_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV L'Aquila GIC index +========================================= + +.. contents:: The tiny table of contents + +GIC index for L'Aquila observatory that consists of two components (i.e. GICx and GICy) calculated from magnetic measurements. Since for L'Aquila observatory only preliminary data are available, before obtaining GICxy index it will be necessary to estimate X and Y from H and D preliminary data. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: https://drive.google.com/file/d/1vErznq6BolwTigDUp-F6E2NDaDa6Lx9Z/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_cts_timeseries.rst b/docs/source/products/data/ingv_gic_cts_timeseries.rst new file mode 100644 index 0000000..fd512f3 --- /dev/null +++ b/docs/source/products/data/ingv_gic_cts_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Castello Tesino GIC index +========================================= + +.. contents:: The tiny table of contents + +GIC index for Castello Tesino observatory that consists of two components (i.e. GICx and GICy) calculated from magnetic measurements. If definitive values for Castello Tesino are available GICxy indices will calculates directly from X and Y 1-minute data, otherwise an estimate of X and Y will be first obtained from H and D preliminary data. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: https://drive.google.com/file/d/1vErznq6BolwTigDUp-F6E2NDaDa6Lx9Z/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_dur_timeseries.rst b/docs/source/products/data/ingv_gic_dur_timeseries.rst new file mode 100644 index 0000000..f680cd7 --- /dev/null +++ b/docs/source/products/data/ingv_gic_dur_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Duronia GIC index +========================================= + +.. contents:: The tiny table of contents + +GIC index for Duronia observatory that consists of two components (i.e. GICx and GICy) calculated from magnetic measurements. If definitive values for Duronia are available GICxy indices will calculates directly from X and Y 1-minute data, otherwise an estimate of X and Y will be first obtained from H and D preliminary data. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: https://drive.google.com/file/d/1vErznq6BolwTigDUp-F6E2NDaDa6Lx9Z/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_int_timeseries.rst b/docs/source/products/data/ingv_gic_int_timeseries.rst new file mode 100644 index 0000000..2bdd712 --- /dev/null +++ b/docs/source/products/data/ingv_gic_int_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV GIC index for INTERMAGNET observatories +========================================= + +.. contents:: The tiny table of contents + +As specified for product INTmag, data from INTERMAGNET observatories will be used only for the limited number of events that will be selected, so that a manual selection of the observatories and of the time period will be made. For the selected observatories GIC index (specifically GICx and GICy) will be calculated. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_lmp_timeseries.rst b/docs/source/products/data/ingv_gic_lmp_timeseries.rst new file mode 100644 index 0000000..f2bef45 --- /dev/null +++ b/docs/source/products/data/ingv_gic_lmp_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Lampedusa GIC index +========================================= + +.. contents:: The tiny table of contents + +GIC index for Lampedusa observatory that consists of two components (i.e. GICx and GICy) calculated from magnetic measurements. Since for Lampedusa observatory only preliminary data are available, before obtaining GICxy index it will be necessary to estimate X and Y from H and D preliminary data. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: https://drive.google.com/file/d/1vErznq6BolwTigDUp-F6E2NDaDa6Lx9Z/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_gic_wdc_timeseries.rst b/docs/source/products/data/ingv_gic_wdc_timeseries.rst new file mode 100644 index 0000000..b68a4da --- /dev/null +++ b/docs/source/products/data/ingv_gic_wdc_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV GIC index for World Data Center of Geomagnetism (WDC)observatories +========================================= + +.. contents:: The tiny table of contents + +As specified for product WDCmag, data from World Data Center of Geomagnetism observatories will be used only for the limited number of events that will be selected, so that a manual selection of the observatories and of the time period will be made. For the selected observatories GIC index (specifically GICx and GICy) will be calculated. + +**Providers**: + +- **INGV** - source: + + - Algorithm + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-30T18:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_lol_swarm_image.rst b/docs/source/products/data/ingv_lol_swarm_image.rst new file mode 100644 index 0000000..4314478 --- /dev/null +++ b/docs/source/products/data/ingv_lol_swarm_image.rst @@ -0,0 +1,58 @@ +========================================= +INGV GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Global maps of GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. + +Swarm is an ESA constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration: an inclination of 87.35°, an initial altitude of about 460 km, and an initial east–west separation of about 1°–1.5° in longitude. The third (Swarm B) has a different orbital configuration: an inclination of 87.75° and an initial altitude of about 520 km. Precise Orbit Determination (POD) antennas are GPS +receivers through which TEC values are estimated. Level 2 (L2) TEC data contain time series of vertical and slant (both absolute and relative) TEC for each GPS satellite in view (at most eight due to the instrumentation design). Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2022), Space Weather, 20, e2022SW003129. https://doi.org/10.1029/2022SW003129 + +Lovati et al. (2023a), Scientific Reports, 9287. https://doi.org/10.1038/s41598-023-34727-2 + +Lovati et al. (2023b), Journal of Geophysical Research: Space Physics, 128, e2023JA031411. https://doi.org/10.1029/2023JA031411 + +Pezzopane et al. (2021), Remote Sensing, 13, 2209. https://doi.org/10.3390/rs13112209 + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/11vcJiTgmVprf6R0vGb33RVg2WAv_l4OS/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_lol_swarm_timeseries.rst b/docs/source/products/data/ingv_lol_swarm_timeseries.rst new file mode 100644 index 0000000..c25e696 --- /dev/null +++ b/docs/source/products/data/ingv_lol_swarm_timeseries.rst @@ -0,0 +1,60 @@ +========================================= +INGV GPS Loss of Lock (LoL) events time series from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. + +Swarm is an ESA constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration: an inclination of 87.35°, an initial altitude of about 460 km, and an initial east–west separation of about 1°–1.5° in longitude. The third (Swarm B) has a different orbital configuration: an inclination of 87.75° and an initial altitude of about 520 km. Precise Orbit Determination (POD) antennas are GPS +receivers through which TEC values are estimated. Level 2 (L2) TEC data contain time series of vertical and slant (both absolute and relative) TEC for each GPS satellite in view (at most eight due to the instrumentation design). Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2022), Space Weather, 20, e2022SW003129. https://doi.org/10.1029/2022SW003129 + +Lovati et al. (2023a), Scientific Reports, 9287. https://doi.org/10.1038/s41598-023-34727-2 + +Lovati et al. (2023b), Journal of Geophysical Research: Space Physics, 128, e2023JA031411. https://doi.org/10.1029/2023JA031411 + +Pezzopane et al. (2021), Remote Sensing, 13, 2209. https://doi.org/10.3390/rs13112209 + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/13AWtsY9wFNcdxXAXp4jD0FXkAhxE5ulb/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_ltmuf_cagliari_tableset.rst b/docs/source/products/data/ingv_ltmuf_cagliari_tableset.rst new file mode 100644 index 0000000..c81ac47 --- /dev/null +++ b/docs/source/products/data/ingv_ltmuf_cagliari_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Long Term MUF maps centered on Cagliari +========================================= + +.. contents:: The tiny table of contents + +Long Term maps of Maximum Usable Frequency (MUF) and skip distance centered on Cagliari over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Long term maps are 24, one for each hour of the month, valid for the whole month, and are calculated on the basis of the predicted 12-months smoothed sunspots number. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-27T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1OlmXoC8dVV9COHgbs_Nuv7egePhEMVaF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ltmuf_catania_tableset.rst b/docs/source/products/data/ingv_ltmuf_catania_tableset.rst new file mode 100644 index 0000000..194d61b --- /dev/null +++ b/docs/source/products/data/ingv_ltmuf_catania_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Long Term MUF maps centered on Catania +========================================= + +.. contents:: The tiny table of contents + +Long Term maps of Maximum Usable Frequency (MUF) and skip distance centered on Catania over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Long term maps are 24, one for each hour of the month, valid for the whole month, and are calculated on the basis of the predicted 12-months smoothed sunspots number. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-27T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/15P1zVVveGqEHLFJzTcSwwpELDv9J-nqR/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ltmuf_milan_tableset.rst b/docs/source/products/data/ingv_ltmuf_milan_tableset.rst new file mode 100644 index 0000000..9166bc9 --- /dev/null +++ b/docs/source/products/data/ingv_ltmuf_milan_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Long Term MUF maps centered on Milan +========================================= + +.. contents:: The tiny table of contents + +Long Term maps of Maximum Usable Frequency (MUF) and skip distance centered on Milan over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Long term maps are 24, one for each hour of the month, valid for the whole month, and are calculated on the basis of the predicted 12-months smoothed sunspots number. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-27T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1fFM0mShvAoHlf_HlOVh7rjvQ5Ai5dyV3/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ltmuf_rome_tableset.rst b/docs/source/products/data/ingv_ltmuf_rome_tableset.rst new file mode 100644 index 0000000..21b20d2 --- /dev/null +++ b/docs/source/products/data/ingv_ltmuf_rome_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Long Term MUF maps centered on Rome +========================================= + +.. contents:: The tiny table of contents + +Long Term maps of Maximum Usable Frequency (MUF) and skip distance centered on Rome over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Long term maps are 24, one for each hour of the month, valid for the whole month, and are calculated on the basis of the predicted 12-months smoothed sunspots number. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-26T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1reQwlgS-qA36yenYJyp9Ch8NJ_nKfjq4/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_mag_aqu_timeseries.rst b/docs/source/products/data/ingv_mag_aqu_timeseries.rst new file mode 100644 index 0000000..78029a6 --- /dev/null +++ b/docs/source/products/data/ingv_mag_aqu_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Preliminary L'Aquila magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at L'Aquila magnetic observatory (IAGA code: AQU; Latitude: 42.383000°; Longitude: 13.316000°; Altitude: 682.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:15:32+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1UE2W00Je7pZyYU8CudoQQQd-un1jSnq-/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_cts_timeseries.rst b/docs/source/products/data/ingv_mag_cts_timeseries.rst new file mode 100644 index 0000000..4382264 --- /dev/null +++ b/docs/source/products/data/ingv_mag_cts_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Preliminary Castello Tesino magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Castello Tesino (TN) magnetic observatory (IAGA code: CTS; Latitude: 46.047000°; Longitude: 11.649000°; Altitude: 1175.000 m). In detail, preliminary \"pseudo\" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. For this observatory also definitive data are available. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:15:32+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/15yM6Xmkguu_jWEBbUAWx96DS-oFT12Ze/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_dmc_timeseries.rst b/docs/source/products/data/ingv_mag_dmc_timeseries.rst new file mode 100644 index 0000000..7495f79 --- /dev/null +++ b/docs/source/products/data/ingv_mag_dmc_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Preliminary Dome C magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Dome C magnetic observatory(AGA code: DMC; Latitude: -75.250000°; Longitude: 124.167000°; Altitude: 3250.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:45:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1PaR0RkOng2lMedAoXQ8iDA_gyPsw9Yq6/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_dur_timeseries.rst b/docs/source/products/data/ingv_mag_dur_timeseries.rst new file mode 100644 index 0000000..09e5b11 --- /dev/null +++ b/docs/source/products/data/ingv_mag_dur_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Preliminary Duronia magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Duronia magnetic observatory (IAGA code: DUR; Latitude: 41.650000°; Longitude: 14.466000°; Altitude: 895.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. For this observatory also definitive data are available. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:30:32+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1K-0hlt1a4jF-UvR1JW9tp4tOPOfqQtKf/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_int_timeseries.rst b/docs/source/products/data/ingv_mag_int_timeseries.rst new file mode 100644 index 0000000..8ad1bba --- /dev/null +++ b/docs/source/products/data/ingv_mag_int_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Magnetic data from INTERMAGNET observatories +========================================= + +.. contents:: The tiny table of contents + +The INTERMAGNET programme exists to establish a global network of cooperating digital magnetic observatories, adopting modern standard specifications for measuring and recording equipment, in order to facilitate data exchanges and the production of geomagnetic products in close to real time. From the INTERMAGNET website it is possible to download 1-minute averages (in daily files) of vector components in either (H, D, Z) or (X, Y, Z) reference frame from world wide magnetic observatories. For this reason, it is not possible to exhaustively fill this form. For instance, the time window of data availability changes from observatory to observatory as well as the tern provided (either (H, D, Z) or (X, Y, Z)) . Data from INTERMAGNET will be used only for the limited number of events that will be selected, so that a manual selection of the observatories and of the time period will be made. Data can be downloaded as .gz files from an ftp (ftp://ftp.seismo.nrcan.gc.ca/intermagnet/). Each file contains 1 day of 1-minute magnetic data for a single INTERMAGNET observatory + +**Providers**: + +- **INTERMAGNET** - source: + + - + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:45:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - gz + + +| **Sample**: https://drive.google.com/file/d/1uF7geNrIEDfwITv1TVKVW6mlfZdllnog/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_lmp_timeseries.rst b/docs/source/products/data/ingv_mag_lmp_timeseries.rst new file mode 100644 index 0000000..ed333dd --- /dev/null +++ b/docs/source/products/data/ingv_mag_lmp_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Preliminary Lampedusa magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Lampedusa magnetic observatory (IAGA code: LMP; Latitude: 35.517000°; Longitude: 12.545000°; Altitude: 93.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:45:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1wbpQau6gT6AFwrZfIS7RygMeN8eDoxhc/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_tnb_timeseries.rst b/docs/source/products/data/ingv_mag_tnb_timeseries.rst new file mode 100644 index 0000000..7192059 --- /dev/null +++ b/docs/source/products/data/ingv_mag_tnb_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +Preliminary Terra Nova Bay magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Terra Nova Bay magnetic observatory (IAGA code: TNB; Latitude: -74.693000°; Longitude: 164.099000°; Altitude: 59.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:45:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1W21VxLPQ7io_P6Zsew_Mc0Lf-YMP6asz/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_mag_wdc_timeseries.rst b/docs/source/products/data/ingv_mag_wdc_timeseries.rst new file mode 100644 index 0000000..ede9e4e --- /dev/null +++ b/docs/source/products/data/ingv_mag_wdc_timeseries.rst @@ -0,0 +1,47 @@ +========================================= +INGV Magnetic data from World Data Center of Geomagnetism (WDC) observatories +========================================= + +.. contents:: The tiny table of contents + +The mission of the World Data Center for Geomagnetism is to provide geomagnetic field data supplied from a worldwide network of magnetic observatories, as well as geomagnetic indices (AE index, ASY/SYM index, and Dst index) derived in this data center to researchers specializing mostly in solar terrestrial physics, and geomagnetism in order to facilitate the global exchange of the geomagnetic field data including the geomagnetic indices. From the WDC websites it is possible to download 1-minute averages (in daily files) of vector components in either (H, D, Z) or (X, Y, Z) reference frame from world wide magnetic observatories. For this reason, it is not possible to exhaustively fill this form. For instance, the time window of data availability changes from observatory to observatory as well as the tern provided (either (H, D, Z) or (X, Y, Z)) . Data from WDC will be used only for the limited number of events that will be selected, so that a manual selection of the observatories and of the time period will be made. The set of WDC observatories well overlap to the set of INTERMAGNET observatories. WDC data can be retrieved through queries to a web service (http://www.wdc.bgs.ac.uk/dataportal/webservice_doc.html). At the present moment, however, the service and the website are not working properly and it is not possible to download a sample file. + +**Providers**: + +- **World Data Center for Geomagnetism** - source: + + - + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:45:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json +- txt + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_magdef_cts_timeseries.rst b/docs/source/products/data/ingv_magdef_cts_timeseries.rst new file mode 100644 index 0000000..b9ab49f --- /dev/null +++ b/docs/source/products/data/ingv_magdef_cts_timeseries.rst @@ -0,0 +1,48 @@ +========================================= +INGV Definitive Castello Tesino magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of the components (X, Y, Z in the NEC, i.e. North-East-Center frame) and of total intensity (F) of the Earth's geomagnetic field measured at Castello Tesino magnetic observatory (IAGA code: CTS; Latitude: 46.047000°; Longitude: 11.649000°; Altitude: 1175.000 m). These are the definitive values that will be used to calculate GICx and GICy indices. These data are definitive, new definitive data are added yearly. +They can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:15:32+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1p-bhkzvlG95gfNPU1IqGmyErAtOCXsDF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_magdef_dur_timeseries.rst b/docs/source/products/data/ingv_magdef_dur_timeseries.rst new file mode 100644 index 0000000..7f8001e --- /dev/null +++ b/docs/source/products/data/ingv_magdef_dur_timeseries.rst @@ -0,0 +1,48 @@ +========================================= +INGV Definitive Duronia magnetic data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of the components (X, Y, Z in the NEC, i.e. North-East-Center frame) and of total intensity (F) of the Earth's geomagnetic field measured at Duronia magnetic observatory (IAGA code: DUR; Latitude: 41.650000°; Longitude: 14.466000°; Altitude: 895.000 m). These are the definitive values that will be used to calculate GICx and GICy indices. These data are definitive, new definitive data are added yearly. +They can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-21T18:15:32+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1OdV8phrfCOHEM_mUMSpNK1_opyOr9w-7/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_ncmuf_cagliari_tableset.rst b/docs/source/products/data/ingv_ncmuf_cagliari_tableset.rst new file mode 100644 index 0000000..9c9353b --- /dev/null +++ b/docs/source/products/data/ingv_ncmuf_cagliari_tableset.rst @@ -0,0 +1,42 @@ +========================================= +INGV Nowcasting MUF map centered on Cagliari +========================================= + +.. contents:: The tiny table of contents + + +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + +Nowcasting map of Maximum Usable Frequency (MUF) and skip distance centered on Cagliari over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Nowcasting map is generated every 15 minutes exploiting foF2 and M(3000)F2 data autoscaled at the ionospheric stations of Rome (41.8°N, 12.5°E) and Gibilmanna (37.6°N, 14.0°E). Nowcasting maps constitute a powerful tool because they let High Frequency (HF) users know in near real-time the radio propagation conditions. This turns out to be very valuable in terms of reliable radio links, especially in case of adverse space weather events. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-26T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1OlmXoC8dVV9COHgbs_Nuv7egePhEMVaF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ncmuf_catania_tableset.rst b/docs/source/products/data/ingv_ncmuf_catania_tableset.rst new file mode 100644 index 0000000..3c7de62 --- /dev/null +++ b/docs/source/products/data/ingv_ncmuf_catania_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Nowcasting MUF map centered on Catania +========================================= + +.. contents:: The tiny table of contents + +Nowcasting map of Maximum Usable Frequency (MUF) and skip distance centered on Catania over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Nowcasting map is generated every 15 minutes exploiting foF2 and M(3000)F2 data autoscaled at the ionospheric stations of Rome (41.8°N, 12.5°E) and Gibilmanna (37.6°N, 14.0°E). Nowcasting maps constitute a powerful tool because they let High Frequency (HF) users know in near real-time the radio propagation conditions. This turns out to be very valuable in terms of reliable radio links, especially in case of adverse space weather events. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-26T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/15P1zVVveGqEHLFJzTcSwwpELDv9J-nqR/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ncmuf_milan_tableset.rst b/docs/source/products/data/ingv_ncmuf_milan_tableset.rst new file mode 100644 index 0000000..cfceabf --- /dev/null +++ b/docs/source/products/data/ingv_ncmuf_milan_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Nowcasting MUF map centered on Milan +========================================= + +.. contents:: The tiny table of contents + +Nowcasting map of Maximum Usable Frequency (MUF) and skip distance centered on Milan over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Nowcasting map is generated every 15 minutes exploiting foF2 and M(3000)F2 data autoscaled at the ionospheric stations of Rome (41.8°N, 12.5°E) and Gibilmanna (37.6°N, 14.0°E). Nowcasting maps constitute a powerful tool because they let High Frequency (HF) users know in near real-time the radio propagation conditions. This turns out to be very valuable in terms of reliable radio links, especially in case of adverse space weather events. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-26T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1fFM0mShvAoHlf_HlOVh7rjvQ5Ai5dyV3/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ncmuf_rome_tableset.rst b/docs/source/products/data/ingv_ncmuf_rome_tableset.rst new file mode 100644 index 0000000..32c22ea --- /dev/null +++ b/docs/source/products/data/ingv_ncmuf_rome_tableset.rst @@ -0,0 +1,38 @@ +========================================= +INGV Nowcasting MUF map centered on Rome +========================================= + +.. contents:: The tiny table of contents + +Nowcasting map of Maximum Usable Frequency (MUF) and skip distance centered on Rome over an area extending in latitude from 34° N to 48° N and in longitude from 5° W to 20° E, which includes the whole Italian territory. Nowcasting map is generated every 15 minutes exploiting foF2 and M(3000)F2 data autoscaled at the ionospheric stations of Rome (41.8°N, 12.5°E) and Gibilmanna (37.6°N, 14.0°E). Nowcasting maps constitute a powerful tool because they let High Frequency (HF) users know in near real-time the radio propagation conditions. This turns out to be very valuable in terms of reliable radio links, especially in case of adverse space weather events. + +**Providers**: + +- **INGV model** + + +| **Product Type**: lookup-table + +| **Status**: Inactive + +| **Creation date**: 2022-04-26T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1reQwlgS-qA36yenYJyp9Ch8NJ_nKfjq4/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised + diff --git a/docs/source/products/data/ingv_ne_swarm_image.rst b/docs/source/products/data/ingv_ne_swarm_image.rst new file mode 100644 index 0000000..faed328 --- /dev/null +++ b/docs/source/products/data/ingv_ne_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm electron density maps +========================================= + +.. contents:: The tiny table of contents + +Electron density maps in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in three .jpg or .png files mapping electron density in polar and equatorial projections (3 images) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 320 kB. The sample file attached is a map from the Swarm A satellite in the Northern hemisphere polar projection. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/1pXXfgoqoD5YRUo_iLFRfQ1Sdt3di2b6C/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_ne_swarm_timeseries.rst b/docs/source/products/data/ingv_ne_swarm_timeseries.rst new file mode 100644 index 0000000..6d3cee3 --- /dev/null +++ b/docs/source/products/data/ingv_ne_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of electron density +========================================= + +.. contents:: The tiny table of contents + +In situ time series of electron density derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of one has a size of about 9 GB. The sample file attached is extracted from one year of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1SiAElXYZ9HfAWb8IaRZslTCH-otz-5B0/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_plasma_cses_image.rst b/docs/source/products/data/ingv_plasma_cses_image.rst new file mode 100644 index 0000000..11cc5a2 --- /dev/null +++ b/docs/source/products/data/ingv_plasma_cses_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV CSES-01 electron density and temperature maps +========================================= + +.. contents:: The tiny table of contents + +Electron density and temperature maps in quasi-dipole latitude vs magnetic longitude derived from the CSES-01 satellite data acquired from 1 January 2019 to 30 September 2021. The output consists in four .jpg or .png files mapping electron density and temperature in equatorial projection in the dayside and the nightside (2 images for density, 2 for temperature). Each map has a size of about 200 kB. No sample file attached. + +**Providers**: + +- **CSES-01** - source: + + - Langmuir Probes + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_plasma_cses_timeseries.rst b/docs/source/products/data/ingv_plasma_cses_timeseries.rst new file mode 100644 index 0000000..38cdcd3 --- /dev/null +++ b/docs/source/products/data/ingv_plasma_cses_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV CSES-01 on track values of electron density and temperature +========================================= + +.. contents:: The tiny table of contents + +In situ time series of electron density and temperature derived from the CSES-01 satellite from 1 January 2019 to 30 September 2021. The output is a single .txt formatted file for both diurnal and nocturnal orbits, each of which has a size of about 4 GB. The sample file attached is extracted from one diurnal orbit acquired by CSES-01 + +**Providers**: + +- **CSES-01 mission** - source: + + - Langmuir Probe + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1qH3A4Ve4cBpSvwV7HUOB5009c_71c-lF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_rodi1hz_swarm_timeseries.rst b/docs/source/products/data/ingv_rodi1hz_swarm_timeseries.rst new file mode 100644 index 0000000..d8538ad --- /dev/null +++ b/docs/source/products/data/ingv_rodi1hz_swarm_timeseries.rst @@ -0,0 +1,67 @@ +========================================= +INGV RODI ionospheric index time series at 1Hz from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Time series of RODI (Rate Of change of electron Density Index) ionospheric index, as derived by in-situ electron density observations from the ESA Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. Along with RODI values, time and position of the satellite, flags, and some quantities related to RODI calculation are also provided. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + + + + + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/1sSHMySdvBr5zZmr_sXx9qF9c5xA7elAv/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_rodi_swarm_image.rst b/docs/source/products/data/ingv_rodi_swarm_image.rst new file mode 100644 index 0000000..095e8eb --- /dev/null +++ b/docs/source/products/data/ingv_rodi_swarm_image.rst @@ -0,0 +1,61 @@ +========================================= +INGV RODI ionospheric index global maps from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Global maps of RODI (Rate Of change of electron Density Index) ionospheric index, as derived by in-situ electron density observation from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - png + + +| **Sample**: https://drive.google.com/file/d/1vDuwPL6J03bQawISvTZWKhmXD0MjgX60/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_rotei1hz_swarm_timeseries.rst b/docs/source/products/data/ingv_rotei1hz_swarm_timeseries.rst new file mode 100644 index 0000000..992904a --- /dev/null +++ b/docs/source/products/data/ingv_rotei1hz_swarm_timeseries.rst @@ -0,0 +1,64 @@ +========================================= +INGV ROTEI ionospheric index time series at 1Hz from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Time series of ROTEI (Rate Of change of electron TEmperature Index) ionospheric index, as derived by in-situ electron temperature observations from the ESA Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. Along with ROTEI values, time and position of the satellite, flags, and some quantities related to ROTEI calculation are also provided. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/1R6ssT78KgLLBwxsEMGRWqNcLdGlLF3aY/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_rotei_swarm_image.rst b/docs/source/products/data/ingv_rotei_swarm_image.rst new file mode 100644 index 0000000..cbdd702 --- /dev/null +++ b/docs/source/products/data/ingv_rotei_swarm_image.rst @@ -0,0 +1,62 @@ +========================================= +INGV ROTEI ionospheric index global maps from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Global maps of ROTEI (Rate Of change of electron TEmperature Index) ionospheric index, as derived by in-situ electron temperature observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Electric Field Instrument - Langmuir Probe, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/1Nwy-7S5zlhHRQfUyhcYvBxUkiJr5xF4d/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_roti1hz_swarm_timeseries.rst b/docs/source/products/data/ingv_roti1hz_swarm_timeseries.rst new file mode 100644 index 0000000..ccdd2d4 --- /dev/null +++ b/docs/source/products/data/ingv_roti1hz_swarm_timeseries.rst @@ -0,0 +1,66 @@ +========================================= +INGV ROTI ionospheric index time series at 1Hz from ESA Swarm satellites (A, B, and C) +========================================= + +.. contents:: The tiny table of contents + +Time series of ROTI (Rate Of change of Total electron content Index) ionospheric index, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2021, for each of the 32 GPS satellites. Along with ROTI values, time and position of the satellite, flags, and some quantities related to ROTI calculation are also provided. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + + + + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/1k649G6k1RrBaK4BGl-hwJXvMyJ5GoDcN/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_roti_swarm_image.rst b/docs/source/products/data/ingv_roti_swarm_image.rst new file mode 100644 index 0000000..6aa6ce4 --- /dev/null +++ b/docs/source/products/data/ingv_roti_swarm_image.rst @@ -0,0 +1,62 @@ +========================================= +INGV ROTI ionospheric index global maps from ESA Swarm satellites +========================================= + +.. contents:: The tiny table of contents + +Global maps of ROTI (Rate Of change of Total electron content Index) ionospheric index, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. + +Data for ionospheric indices calculation are collected by the ESA Swarm satellites mission. Swarm is a constellation constituted by three low-Earth-orbit satellites launched at the end of 2013, and still operating, in a circular near-polar orbit. Two of them (Swarm A and C) have the same orbit configuration (inclination of 87.4°, initial altitude of about 460 km, east-west separation of about 1°–1.5° in longitude). The third (Swarm B) has a different orbital configuration (inclination of 88°, initial altitude of about 520 km) compared to the couple Swarm A and C. In-situ electron density (Ne) and electron temperature (Te) observations are collected by Langmuir Probes (LP). Precise Orbit Determination (POD) antennas are GPS receivers from which the TEC is determined, both vertical and slant, for each GPS satellite in view. Swarm’s data are freely downloadable at ftp://swarm-diss.eo.esa.int. + +**References:** + +De Michelis et al. (2020), Journal of Geophysical Research: Space Physics, 125, e2020JA027934. https://doi.org/10.1029/2020JA027934 + +De Michelis, et al. (2021a), Remote Sensing, 13, 759. https://doi.org/10.3390/rs13040759 + +De Michelis, et al. (2021b), Scientific Reports, 11, 6183, https://doi.org/10.1038/s41598-021-84985-1 + +De Michelis et al. (2022), Remote Sensing, 14, 918. https://doi.org/10.3390/rs14040918 + +Pignalberi (2021), Computers and Geosciences, 48, 104675, https://doi.org/10.1016/j.cageo.2020.104675 + +Pignalberi et al. (2021), Universe, 7, 290. https://doi.org/10.3390/universe7080290 + + +**Providers**: + +- **Swarm A satellite** - source: + + - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm B satellite** - source: + + - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ +- **Swarm C satellite** - source: + + - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - text files + + +| **Sample**: https://drive.google.com/file/d/1g1HI_eMy4ZQHtCoyxHu1j3mEYINe5xlY/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_sigma_swarm_image.rst b/docs/source/products/data/ingv_sigma_swarm_image.rst new file mode 100644 index 0000000..6639532 --- /dev/null +++ b/docs/source/products/data/ingv_sigma_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm parallel electrical conductivity maps +========================================= + +.. contents:: The tiny table of contents + +Maps of parallel electrical conductivity in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in three .jpg or .png files mapping parallel electrical conductivity in polar and equatorial projections (3 images) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 300 kB. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/14AktJhqFyzBtUKL2HHP9lk4jg5iwHsZF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_sigma_swarm_timeseries.rst b/docs/source/products/data/ingv_sigma_swarm_timeseries.rst new file mode 100644 index 0000000..4efc4b7 --- /dev/null +++ b/docs/source/products/data/ingv_sigma_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of parallel electrical conductivity +========================================= + +.. contents:: The tiny table of contents + +In situ time series of parallel electrical conductivity derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of which has a size of about 12 GB. The sample file attached is extracted from one month of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1tTE0N9t2gWYGR-lUR_GyypyMAaFZoBVZ/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_te_swarm_image.rst b/docs/source/products/data/ingv_te_swarm_image.rst new file mode 100644 index 0000000..aee362c --- /dev/null +++ b/docs/source/products/data/ingv_te_swarm_image.rst @@ -0,0 +1,39 @@ +========================================= +INGV Swarm electron temperature maps +========================================= + +.. contents:: The tiny table of contents + +Electron temperature maps in quasi-dipole latitude vs magnetic local time coordinates derived from the Swarm constellation data acquired at 1 second cadence from 1 January 2014 to 31 December 2020. The output consists in three .jpg or .png files mapping electron temperature in polar and equatorial projections (3 images) for each of the 3 satellites of the Swarm constellation. Each map has a size of about 280 kB. The sample file attached is a map from the Swarm A satellite in the Northern hemisphere polar projection. + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .jpg/.png + + +| **Sample**: https://drive.google.com/file/d/1BfHVrah0MI3DrvZ-wTc_BfgVAP240vJn/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_te_swarm_timeseries.rst b/docs/source/products/data/ingv_te_swarm_timeseries.rst new file mode 100644 index 0000000..613060a --- /dev/null +++ b/docs/source/products/data/ingv_te_swarm_timeseries.rst @@ -0,0 +1,41 @@ +========================================= +INGV 1 Hz Swarm on track values of electron temperature +========================================= + +.. contents:: The tiny table of contents + +In situ time series of electron temperature derived from the Swarm constellation at 1 second cadence from 1 January 2014 to 31 December 2020. The output is a single .txt formatted file for each of the 3 satellites of the Swarm constellation, each of one has a size of about 9 GB. The sample file attached is extracted from one year of data acquired by Swarm A + +**Providers**: + +- **ESA's Swarm constellation** - source: + + - Electric Field Instrument + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-13T16:16:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - text file + + +| **Sample**: https://drive.google.com/file/d/1_QoiKXfcSwFcnQ1yLvu-bsQWZ16vBC7k/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.3: Download: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/ingv_valiiono_gibi_timeseries.rst b/docs/source/products/data/ingv_valiiono_gibi_timeseries.rst new file mode 100644 index 0000000..4aa68bd --- /dev/null +++ b/docs/source/products/data/ingv_valiiono_gibi_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Validated data Gibilmanna Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Hourly ionospheric parameters (foF2, foF1, foE, foEs, fbEs, fmin, h'F2, h'F, h'E, h'Es, MUF(3000)F2, M(3000)F2) as validated by an operator from the ionograms obtained by the AIS-INGV ionosonde installed at the ionospheric station of Gibilmanna + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-22T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1u62OdH0NV_ZSV_FN9wyfTjuSwJRldPKu/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/gm037_rev: Web service endpoint +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static + diff --git a/docs/source/products/data/ingv_valiiono_rome_timeseries.rst b/docs/source/products/data/ingv_valiiono_rome_timeseries.rst new file mode 100644 index 0000000..dbdeb26 --- /dev/null +++ b/docs/source/products/data/ingv_valiiono_rome_timeseries.rst @@ -0,0 +1,46 @@ +========================================= +INGV Validated data Rome Ionosonde +========================================= + +.. contents:: The tiny table of contents + +Hourly ionospheric parameters (foF2, foF1, foE, foEs, fbEs, fmin, h'F2, h'F, h'E, h'Es, MUF(3000)F2, M(3000)F2) as validated by an operator from the ionograms obtained by the AIS-INGV ionosonde installed at the ionospheric station of Rome + +**Providers**: + +- **AIS-INGV ionosonde** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-22T06:26:08+00:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/14Z8q5lhjzQMjxJiy8YG9vqwL4SQaKDdl/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- http://ws-eswua.rm.ingv.it/ais.\php/records/rm041_rev: Web service endpoint +- int2130.1: Product ingestion +- int2130.3: Mirroring: bulk static + diff --git a/docs/source/products/data/uniaq_curr_maigic_image.rst b/docs/source/products/data/uniaq_curr_maigic_image.rst new file mode 100644 index 0000000..6e42ff4 --- /dev/null +++ b/docs/source/products/data/uniaq_curr_maigic_image.rst @@ -0,0 +1,44 @@ +========================================= +UNIAQ Magnetospheric-Ionospheric-Gound Induced Current model - currents +========================================= + +.. contents:: The tiny table of contents + +The MA.I.GIC. model is based on the equation which describes a possible disturbance in the magnetospheric-ionospheric system propagating vertically downward from the ionosphere as plane waves. In this scenario, the Earth is assumed as uniform (or a layered) half-space conductor with conductivity in which the magnetic field (B) is obtained from ground magnetometer observatories and the impedance Z is obtained considering the corresponding local conductivity. To evaluate the conductivity, the global model by Alekseev et al. (2015), which provides the Earth's conductivity on a series of 0.25 × 0.25 degrees grid spherical layers covering a depth range of 0–100 km, is considered. So the geoelectric field (E) is evaluated. +To discriminate between ionospheric and magnetospheric origin contribution, the ground geomagnetic field observations are first decomposed into several Intrinsic Mode Components (IMCs), which are oscillating functions modulated in both amplitude and frequency, using Fast Iterative Filtering . Then, in order to analyze the physical meaning of each IMC and connect them to the timescales involved in the magnetospheric and ionospheric origin fields, we used a statistical test, which allows to evaluate clear timescale separation in a certain data set. + + +**Providers**: + +- **Ground magnetometer data** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-19T18:00:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .pdf + + +| **Sample**: https://drive.google.com/file/d/1Y4TfDErz_-Hn7e9eKw86DrtxFt3oeARK/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.5: On demand computation +- ext2230.1: Advanced Visualisation: ASPIS.py + diff --git a/docs/source/products/data/uniaq_curr_maigic_tableset.rst b/docs/source/products/data/uniaq_curr_maigic_tableset.rst new file mode 100644 index 0000000..a37dc01 --- /dev/null +++ b/docs/source/products/data/uniaq_curr_maigic_tableset.rst @@ -0,0 +1,44 @@ +========================================= +UNIAQ Magnetospheric-Ionospheric-Gound Induced Current model - currents +========================================= + +.. contents:: The tiny table of contents + +The MA.I.GIC. model is based on the equation which describes a possible disturbance in the magnetospheric-ionospheric system propagating vertically downward from the ionosphere as plane waves. In this scenario, the Earth is assumed as uniform (or a layered) half-space conductor with conductivity in which the magnetic field (B) is obtained from ground magnetometer observatories and the impedance Z is obtained considering the corresponding local conductivity. To evaluate the conductivity, the global model by Alekseev et al. (2015), which provides the Earth's conductivity on a series of 0.25 × 0.25 degrees grid spherical layers covering a depth range of 0–100 km, is considered. So the geoelectric field (E) is evaluated. +To discriminate between ionospheric and magnetospheric origin contribution, the ground geomagnetic field observations are first decomposed into several Intrinsic Mode Components (IMCs), which are oscillating functions modulated in both amplitude and frequency, using Fast Iterative Filtering . Then, in order to analyze the physical meaning of each IMC and connect them to the timescales involved in the magnetospheric and ionospheric origin fields, we used a statistical test, which allows to evaluate clear timescale separation in a certain data set. + + +**Providers**: + +- **Ground magnetometer data** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-19T18:00:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - .mat + + +| **Sample**: https://drive.google.com/file/d/1-r3xmlIn9n8bDpwr3LE071uB-9utQlDF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.5: On demand computation +- ext2230.1: Advanced Visualisation: ASPIS.py + diff --git a/docs/source/products/data/uniaq_epmde_emma_timeseries.rst b/docs/source/products/data/uniaq_epmde_emma_timeseries.rst new file mode 100644 index 0000000..eb7b008 --- /dev/null +++ b/docs/source/products/data/uniaq_epmde_emma_timeseries.rst @@ -0,0 +1,36 @@ +========================================= +UNIAQ Equatorial Plasma Mass Density estimates in Plasmasphere +========================================= + +.. contents:: The tiny table of contents + +Equatorial plasma mass density estimates in plasmasphere (2 < L < 6) are derived from the the EMMA magnetometers network, updated every 15 minutes. + +**Providers**: + +- **EMMA Network** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-07T10:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1ORb-g1JGbSmf0h0IbzkMXnWQgwV3aSvb/view?usp=share_link + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion + diff --git a/docs/source/products/data/uniaq_field_maigic_image.rst b/docs/source/products/data/uniaq_field_maigic_image.rst new file mode 100644 index 0000000..dfbc73f --- /dev/null +++ b/docs/source/products/data/uniaq_field_maigic_image.rst @@ -0,0 +1,46 @@ +========================================= +UNIAQ Magnetospheric-Ionospheric-Gound Induced Current model - Geoelectric Field +========================================= + +.. contents:: The tiny table of contents + +The MA.I.GIC. model is based on the equation which describes a possible disturbance in the magnetospheric-ionospheric system propagating vertically downward from the ionosphere as plane waves. In this scenario, the Earth is assumed as uniform (or a layered) half-space conductor with conductivity in which the magnetic field (B) is obtained from ground magnetometer observatories and the impedance Z is obtained considering the corresponding local conductivity. To evaluate the conductivity, the global model by Alekseev et al. (2015), which provides the Earth's conductivity on a series of 0.25 × 0.25 degrees grid spherical layers covering a depth range of 0–100 km, is considered. So the geoelectric field (E) is evaluated. +To discriminate between ionospheric and magnetospheric origin contribution, the ground geomagnetic field observations are first decomposed into several Intrinsic Mode Components (IMCs), which are oscillating functions modulated in both amplitude and frequency, using Fast Iterative Filtering . Then, in order to analyze the physical meaning of each IMC and connect them to the timescales involved in the magnetospheric and ionospheric origin fields, we used a statistical test, which allows to evaluate clear timescale separation in a certain data set. + + +**Providers**: + +- **Ground magnetometer data** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-19T18:00:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .fig + + +| **Sample**: https://drive.google.com/file/d/1De2kR3bGaJJGDQ55VXPLKDYtC6mqIHbd/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.5: On demand computation +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/uniaq_field_maigic_tableset.rst b/docs/source/products/data/uniaq_field_maigic_tableset.rst new file mode 100644 index 0000000..4ac8fa3 --- /dev/null +++ b/docs/source/products/data/uniaq_field_maigic_tableset.rst @@ -0,0 +1,46 @@ +========================================= +UNIAQ Magnetospheric-Ionospheric-Gound Induced Current model - Geoelectric Field +========================================= + +.. contents:: The tiny table of contents + +The MA.I.GIC. model is based on the equation which describes a possible disturbance in the magnetospheric-ionospheric system propagating vertically downward from the ionosphere as plane waves. In this scenario, the Earth is assumed as uniform (or a layered) half-space conductor with conductivity in which the magnetic field (B) is obtained from ground magnetometer observatories and the impedance Z is obtained considering the corresponding local conductivity. To evaluate the conductivity, the global model by Alekseev et al. (2015), which provides the Earth's conductivity on a series of 0.25 × 0.25 degrees grid spherical layers covering a depth range of 0–100 km, is considered. So the geoelectric field (E) is evaluated. +To discriminate between ionospheric and magnetospheric origin contribution, the ground geomagnetic field observations are first decomposed into several Intrinsic Mode Components (IMCs), which are oscillating functions modulated in both amplitude and frequency, using Fast Iterative Filtering . Then, in order to analyze the physical meaning of each IMC and connect them to the timescales involved in the magnetospheric and ionospheric origin fields, we used a statistical test, which allows to evaluate clear timescale separation in a certain data set. + + +**Providers**: + +- **Ground magnetometer data** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-19T18:00:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - .mat + + +| **Sample**: https://drive.google.com/file/d/1AGdix2SXqN5sXaisH3FXPPi0vXKsjWdz/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.5: On demand computation +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/uniaq_mag_emma_timeseries.rst b/docs/source/products/data/uniaq_mag_emma_timeseries.rst new file mode 100644 index 0000000..050c31d --- /dev/null +++ b/docs/source/products/data/uniaq_mag_emma_timeseries.rst @@ -0,0 +1,65 @@ +========================================= +UNIAQ EMMA Geomagnetic field data +========================================= + +.. contents:: The tiny table of contents + +1-minute averages of the magnetic field variations recorded at 27 ground stations located in Italy and Europe along a meridional chain covering a large range in geographical latitude (from 70 to 42 degrees). The data are automatically collected in near real-time and updated every 15 minutes. + +**Providers**: + +- **EMMA - European quasi-Meridional Magnetometer Array** - sources: + + - Masi (MAS) Station - Finnish Meteorological Institute (FMI) + - Kevo (KEV) Station - Finnish Meteorological Institute (FMI) + - Kilpisjärvi (KIL) Station - Finnish Meteorological Institute (FMI) + - Ivalo (IVA) Station - Finnish Meteorological Institute (FMI) + - Muonio (MUO) Station - Finnish Meteorological Institute (FMI) + - Sodankylä (SOD) Station - Sodankylä Geophysical Observatory (SGO) + - Pello (PEL) Station - Finnish Meteorological Institute (FMI) + - Ranua (RAN) Station - Finnish Meteorological Institute (FMI) + - Oulujärvi (OUJ) Station - Finnish Meteorological Institute (FMI) + - Mekrijärvi (MEK) Station - Finnish Meteorological Institute (FMI) + - Hankasalmi (HAN) Station - Finnish Meteorological Institute (FMI) + - Nurmijärvi (NUR) Station - Finnish Meteorological Institute (FMI) + - Nurmijärvi (NU2) Station - Finnish Meteorological Institute (FMI) + - Tartu (TAR) Station - Finnish Meteorological Institute (FMI) + - Birzai (BRZ) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Hel (HLP) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Suwałki (SUW) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Belsk (BEL) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Polesie (PPN) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Zagorzyce (ZAG) Station - Institute of Geophysics Polish Academy of Sciences (IGF-PAN) + - Vyhne (VYH) Station - Division of Geophysics Earth Science Institute Slovak Academy of Sciences + - Nagycenk (NCK) Station - Geodetic and Geophysical Research Institute Hungarian Academy of Sciences + - Tihany (THY) Station - Geodetic and Geophysical Research Institute Hungarian Academy of Sciences + - Castello Tesino (CST) Station - Department of Physical and Chemical Sciences University of L'Aquila + - Lonjsko Polje (LOP) Station - Geodetic and Geophysical Research Institute Hungarian Academy of Sciences + - Ranchio (RNC) Station - Department of Physical and Chemical Sciences University of L'Aquila + - L'Aquila (AQU) Station - Department of Physical and Chemical Sciences University of L'Aquila + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-07T09:30:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - json + + +| **Sample**: https://drive.google.com/file/d/1jsMpdfuNosno09IpvGh_MRhANASaTJ4v/view?usp=share_link + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI + diff --git a/docs/source/products/data/unical_bshockspsd_tableset.rst b/docs/source/products/data/unical_bshockspsd_tableset.rst new file mode 100644 index 0000000..83285c5 --- /dev/null +++ b/docs/source/products/data/unical_bshockspsd_tableset.rst @@ -0,0 +1,57 @@ +========================================= +UNICAL Power spectral densities of the magnetic field nearby IP shocks +========================================= + +.. contents:: The tiny table of contents + +Power spectral densities (PSDs) of the magnetic field upstream and downstream of interplanetary shocks for target SWE events. These data can be computed from WIND and ACE spacecraft measurements for geoeffective target SWE events; from STEREO, PSP, Solar Orbiter, and Bepicolombo spacecraft measurements for widespread target SWE events. PSDs are estimated through the Whelch's overlapped segment averaging (WOSA) method. + +**Providers**: + +- **WIND** - source: + + - MFI +- **ACE** - source: + + - MAG +- **STEREO** - source: + + - IMPACT/MAG +- **PSP** - source: + + - FIELDS +- **Solar Orbiter** - source: + + - MAG + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-27T09:24:16+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1-IgvYq2e_bbRn7VAAiho4zuFfDnMMWsD/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_bshockssfs_tableset.rst b/docs/source/products/data/unical_bshockssfs_tableset.rst new file mode 100644 index 0000000..b2d093c --- /dev/null +++ b/docs/source/products/data/unical_bshockssfs_tableset.rst @@ -0,0 +1,57 @@ +========================================= +UNICAL Structure functions of the magnetic field nearby IP shocks +========================================= + +.. contents:: The tiny table of contents + +Structure functions of the magnetic field upstream and downstream of interplanetary shocks for target SWE events. These data can be computed from WIND and ACE spacecraft measurements for geoeffective target SWE events; from STEREO, PSP, Solar Orbiter, and Bepicolombo spacecraft measurements for widespread target SWE events. + +**Providers**: + +- **WIND** - source: + + - MFI +- **ACE** - source: + + - MAG +- **STEREO** - source: + + - IMPACT/MAG +- **PSP** - source: + + - FIELDS +- **Solar Orbiter** - source: + + - MAG + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T10:19:16+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - csv + + +| **Sample**: https://drive.google.com/file/d/15Zs7w9UJu2qj7dlx9gkvw7DGuXIqL2Ij/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_ace_spectrum.rst b/docs/source/products/data/unical_esp_ace_spectrum.rst new file mode 100644 index 0000000..9ba07ee --- /dev/null +++ b/docs/source/products/data/unical_esp_ace_spectrum.rst @@ -0,0 +1,51 @@ +========================================= +UNICAL ESP Proton Spectra for the ACE spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for geoeffective target SWE events (at L1) from ACE spacecraft. + +**Providers**: + +- **Ace** - source: + + - EPAM +- **Stevens Interplanetary Shock list** - source: + + - https://lweb.cfa.harvard.edu/shocks/ac_master_data/ +- **ACE Lists of Disturbances and Transients** - source: + + - http://www.ssg.sr.unh.edu/mag/ace/ACElists/obs_list.html#shocks + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1a8E1tOrbmxWxRdEIO-u2mSll-nAQR0SV/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_bepc_spectrum.rst b/docs/source/products/data/unical_esp_bepc_spectrum.rst new file mode 100644 index 0000000..8365c04 --- /dev/null +++ b/docs/source/products/data/unical_esp_bepc_spectrum.rst @@ -0,0 +1,43 @@ +========================================= +UNICAL ESP Proton Spectra for the BepiColombo spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from BepiColombo spacecrfat. + +**Providers**: + +- **BepiColombo** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_psp_spectrum.rst b/docs/source/products/data/unical_esp_psp_spectrum.rst new file mode 100644 index 0000000..b957749 --- /dev/null +++ b/docs/source/products/data/unical_esp_psp_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL ESP Proton Spectra for the PSP spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from PSP spacecraft. + +**Providers**: + +- **PSP** - source: + + - ISOIS + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-28T13:34:40+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/14sjWweU6I_b72BYyFYb_MHasq0kiMko-/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_solo_spectrum.rst b/docs/source/products/data/unical_esp_solo_spectrum.rst new file mode 100644 index 0000000..3feb0eb --- /dev/null +++ b/docs/source/products/data/unical_esp_solo_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the SolO spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from SolO spacecraft. + +**Providers**: + +- **SolO** - source: + + - EPD + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_stra_spectrum.rst b/docs/source/products/data/unical_esp_stra_spectrum.rst new file mode 100644 index 0000000..dd82c85 --- /dev/null +++ b/docs/source/products/data/unical_esp_stra_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL ESP Proton Spectra for the STEREO A spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra from 2009 for STEREO A spacecraft. + +**Providers**: + +- **STEREO A** - source: + + - IMPACT + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1AJTBDIjJ7NM6StAIi5h06aCB28aolIci/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_esp_wind_spectrum.rst b/docs/source/products/data/unical_esp_wind_spectrum.rst new file mode 100644 index 0000000..f6f93dd --- /dev/null +++ b/docs/source/products/data/unical_esp_wind_spectrum.rst @@ -0,0 +1,46 @@ +========================================= +UNICAL ESP Proton Spectra for the WIND spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for geoeffective target SWE events (at L1) from Wind spacecraft. + +**Providers**: + +- **WIND** - sources: + + - 3DP + - EPACT + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1F1W24YYK3Dfe6FbzJgnhZ2tQFX_L654X/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_ace_spectrum.rst b/docs/source/products/data/unical_sep_ace_spectrum.rst new file mode 100644 index 0000000..1c29f71 --- /dev/null +++ b/docs/source/products/data/unical_sep_ace_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the ACE spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for geoeffective target SWE events (at L1) from ACE spacecraft. + +**Providers**: + +- **Ace** - source: + + - EPAM + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1jIQGdVMZImhyC24Aoe-lvbrdgGpoFIeh/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_bepc_spectrum.rst b/docs/source/products/data/unical_sep_bepc_spectrum.rst new file mode 100644 index 0000000..cf05288 --- /dev/null +++ b/docs/source/products/data/unical_sep_bepc_spectrum.rst @@ -0,0 +1,43 @@ +========================================= +UNICAL SEP Proton Spectra for the BepiColombo spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from BepiColombo spacecraft. + +**Providers**: + +- **BepiColombo** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-28T13:34:40+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_psp_spectrum.rst b/docs/source/products/data/unical_sep_psp_spectrum.rst new file mode 100644 index 0000000..596db37 --- /dev/null +++ b/docs/source/products/data/unical_sep_psp_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the PSP spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from PSP spacecraft. + +**Providers**: + +- **PSP** - source: + + - ISOIS + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-28T13:34:40+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1U6Am0CfJXaEqI_5gAJdaV85bp4U5pRX5/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_soho_spectrum.rst b/docs/source/products/data/unical_sep_soho_spectrum.rst new file mode 100644 index 0000000..b0616a3 --- /dev/null +++ b/docs/source/products/data/unical_sep_soho_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the SoHO spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for: geoeffective target SWE events (at L1) from SoHO spacecraft. + +**Providers**: + +- **SoHO** - source: + + - ERNE + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1IwOQPDq4HZ9j0Say9Yh5CY18LV9lWhXr/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_solo_spectrum.rst b/docs/source/products/data/unical_sep_solo_spectrum.rst new file mode 100644 index 0000000..3feb0eb --- /dev/null +++ b/docs/source/products/data/unical_sep_solo_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the SolO spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from SolO spacecraft. + +**Providers**: + +- **SolO** - source: + + - EPD + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_stra_spectrum.rst b/docs/source/products/data/unical_sep_stra_spectrum.rst new file mode 100644 index 0000000..0eb51e6 --- /dev/null +++ b/docs/source/products/data/unical_sep_stra_spectrum.rst @@ -0,0 +1,45 @@ +========================================= +UNICAL SEP Proton Spectra for the STEREO A spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for widespread target SWE events from STEREO A spacecraft. + +**Providers**: + +- **STEREO A** - source: + + - IMPACT + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1bT1Y7NyXrVFg_oAdZWjas_x2w6lBn9uE/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sep_wind_spectrum.rst b/docs/source/products/data/unical_sep_wind_spectrum.rst new file mode 100644 index 0000000..c81e3b4 --- /dev/null +++ b/docs/source/products/data/unical_sep_wind_spectrum.rst @@ -0,0 +1,46 @@ +========================================= +UNICAL SEP Proton Spectra for the WIND spacecraft +========================================= + +.. contents:: The tiny table of contents + +Proton spectra for: geoeffective target SWE events (at L1) from Wind spacecraft. + +**Providers**: + +- **WIND** - sources: + + - 3DP + - EPACT + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T11:51:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/17K170-oRokV3BeEZKaHrgCtmLkq1NhsF/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_sepindices_tableset.rst b/docs/source/products/data/unical_sepindices_tableset.rst new file mode 100644 index 0000000..ed3e89f --- /dev/null +++ b/docs/source/products/data/unical_sepindices_tableset.rst @@ -0,0 +1,47 @@ +========================================= +UNICAL Energetic particle spectral indices +========================================= + +.. contents:: The tiny table of contents + +The differential energy spectral index is listed for all the SEP/ESP events analyzed. + +**Providers**: + +- **STEREO-A** - sources: + + - IMPACT/SEPT + - IMPACT/LET + - IMPACT/HET +- **ACE** - source: + + - EPAM +- **PSP** - sources: + + - EPIHI-LET + - EPIHI-HET + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-27T09:47:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1CvKEf24oFK2THMH7FV6fwzRzQgx1uv-R/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion + diff --git a/docs/source/products/data/unical_septransport_tableset.rst b/docs/source/products/data/unical_septransport_tableset.rst new file mode 100644 index 0000000..1b90e1e --- /dev/null +++ b/docs/source/products/data/unical_septransport_tableset.rst @@ -0,0 +1,49 @@ +========================================= +UNICAL Energetic particle transport parameters and acceleration times +========================================= + +.. contents:: The tiny table of contents + +For each SEP/ESP event, in case of anomalous (superdiffusive) transport, as deduced from energetic particle fluxes, the exponent of the mean square displacement as a function of time is derived. Then, diffusion coefficients are computed either in case of normal or in case of superdiffusive transport (derived from the analysis of the particle fluxes upstream in different energy channels). From the diffusion coefficients the acceleration times are calculated in each energy channel. + +**Providers**: + +- **STEREO-A** - sources: + + - IMPACT/SEPT + - IMPACT/LET + - IMPACT/HET +- **ACE** - sources: + + - EPAM + - SWEPAM +- **PSP** - sources: + + - EPIHI-LET + - EPIHI-HET + - SWEAP SPAN-I + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:23:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1JAFSeXQwvoR87tYKIXBGI7TxEutyzRf7/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion + diff --git a/docs/source/products/data/unical_shockpar_ace_tableset.rst b/docs/source/products/data/unical_shockpar_ace_tableset.rst new file mode 100644 index 0000000..ed23f35 --- /dev/null +++ b/docs/source/products/data/unical_shockpar_ace_tableset.rst @@ -0,0 +1,53 @@ +========================================= +UNICAL Parameters of shocks associated with SEP and ESP events from 2009 for ACE +========================================= + +.. contents:: The tiny table of contents + +Magnetosonic Mach number, angle between the magnetic field and the normal to the shock surface, plasma beta from 2009 for ACE data. + +**Providers**: + +- **ACE** - sources: + + - EPAM + - MAG + - SWEPAM +- **CfA Interplanetary Shock Database - ACE** - source: + + - https://lweb.cfa.harvard.edu/shocks/ac_master_data/ +- **ACE Lists of Disturbances and Transients** - source: + + - http://www.ssg.sr.unh.edu/mag/ace/ACElists/obs_list.html#shocks + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T15:25:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1HJvELbsMRnkhE87wtr9h6OOPSXk4dHB-/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_shockpar_stra_tableset.rst b/docs/source/products/data/unical_shockpar_stra_tableset.rst new file mode 100644 index 0000000..41fa82e --- /dev/null +++ b/docs/source/products/data/unical_shockpar_stra_tableset.rst @@ -0,0 +1,48 @@ +========================================= +UNICAL Parameters of shocks associated with SEP and ESP events from 2009 for STEREO A +========================================= + +.. contents:: The tiny table of contents + +Magnetosonic Mach number, angle between the magnetic field and the normal to the shock surface, plasma beta from 2009 for STEREO A data. + +**Providers**: + +- **STEREO A** - source: + + - IMPACT +- **Jian et al. Interplanetary Shock list at STEREO A** - source: + + - https://stereo-ssc.nascom.nasa.gov/data/ins_data/impact/level3/IPs.pdf + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T15:25:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1w0FtS-1pJ3iQ08-0tcsCIqeRDx0Oq7yV/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_shockpar_wide_tableset.rst b/docs/source/products/data/unical_shockpar_wide_tableset.rst new file mode 100644 index 0000000..4f73b16 --- /dev/null +++ b/docs/source/products/data/unical_shockpar_wide_tableset.rst @@ -0,0 +1,69 @@ +========================================= +UNICAL Parameters of shocks associated with SEP and ESP events for widespread target events +========================================= + +.. contents:: The tiny table of contents + +Magnetosonic Mach number, angle between the magnetic field and the normal to the shock surface, plasma beta for geoeffective target events (at L1) and; 2) widespread target events (at different heliographic locations from multiple spacecraft). + +**Providers**: + +- **WIND** - sources: + + - 3DP + - EPACT + - MFI + - SWE +- **ACE** - sources: + + - EPAM + - MAG + - SWEPAM +- **STEREO A** - source: + + - IMPACT +- **SolO** - sources: + + - EPD + - MAG + - SWA +- **BepiColombo** +- **PSP** - sources: + + - ISOIS + - SWEAP +- **Moestl et al. ICME catalog** - source: + + - https://helioforecast.space/icmecat + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T15:25:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1t0hqvdGoiaaveAX5iqpIV1hUPVs2b8p6/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unical_shockpar_wind_tableset.rst b/docs/source/products/data/unical_shockpar_wind_tableset.rst new file mode 100644 index 0000000..c7c2e1e --- /dev/null +++ b/docs/source/products/data/unical_shockpar_wind_tableset.rst @@ -0,0 +1,54 @@ +========================================= +UNICAL Parameters of shocks associated with SEP and ESP events from 2009 for WIND +========================================= + +.. contents:: The tiny table of contents + +Magnetosonic Mach number, angle between the magnetic field and the normal to the shock surface, plasma beta from 2009 for WIND data. + +**Providers**: + +- **WIND** - sources: + + - 3DP + - EPACT + - MFI + - SWE +- **CfA Interplanetary Shock Database - Wind** - source: + + - https://lweb.cfa.harvard.edu/shocks/wi_data/ +- **Moestl et al. ICME catalog** - source: + + - https://helioforecast.space/icmecat + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T15:25:20+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - txt + + +| **Sample**: https://drive.google.com/file/d/1BuT-Nv6tZMQnmSXL2FLNoMJMdHPyOX_b/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unict_promin_ws.rst b/docs/source/products/data/unict_promin_ws.rst new file mode 100644 index 0000000..26f3504 --- /dev/null +++ b/docs/source/products/data/unict_promin_ws.rst @@ -0,0 +1,40 @@ +========================================= +UNICT Geometry and location of prominences on the solar limb +========================================= + +.. contents:: The tiny table of contents + +Software devoted to the automated determination of the prominences position and geometrical characteristics using real-time H-alpha images acquired at Catania Solar Telescope. These data have a spatial resolution of 2 arcsec and a cadence of 1 image/day. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-28T06:16:26+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.4: Scheduled computation +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2320.1: Data conversion + diff --git a/docs/source/products/data/unipg_gcr_model.rst b/docs/source/products/data/unipg_gcr_model.rst new file mode 100644 index 0000000..405b1cf --- /dev/null +++ b/docs/source/products/data/unipg_gcr_model.rst @@ -0,0 +1,34 @@ +========================================= +UNIPG GCRs long-term modulation +========================================= + +.. contents:: The tiny table of contents + +The software is aimed at implementing a physical model for the so-called solar modulation effect, that is, the long-term influence of solar activity on the intensity and energy spectra of Galactic cosmic rays (GCRs). The physical mechanisms governing solar modulation are diffusion, convection, adiabatic energy losses and drifts of energetic charged particles through the solar wind and its embedded magnetic field. The interplay among the various mechanisms at the different timescales and energy depends on the level of solar activity and interplanetary conditions. The model is based on numerical integration of differential equation for the transport of Galactic cosmic rays (GCR) in the heliosphere. The model output is the differential flux intensity J=J(t,E), evaluated near-Earth, which is defined as the number of GCR particles per unit of time, solid angle, area, and energy. Such an output is provided as a time series within a user-specified range [t_1,t_2], or for a given input epoch t. The input options to be specified by the user may include: an arbitrary past epoch t, the GCR particle type (e.g. proton, helium, light nuclei), and the value of kinetic energy E (between 100 MeV and 100 GeV). + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-05-03T17:05:10+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI + diff --git a/docs/source/products/data/unitn_flux_cses_timeseries.rst b/docs/source/products/data/unitn_flux_cses_timeseries.rst new file mode 100644 index 0000000..b01870b --- /dev/null +++ b/docs/source/products/data/unitn_flux_cses_timeseries.rst @@ -0,0 +1,43 @@ +========================================= +UNITN CSES satellite particle flux data +========================================= + +.. contents:: The tiny table of contents + +Particle flux in the Lshell – pitch reference frame. Lshell will be calculated using the IGRF model for the internal origin field and Tsyganenko model for the external origin field. + +**Providers**: + +- **CSES satellite HEPP electron and proton data** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-03T09:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - .mat + + +| **Sample**: https://drive.google.com/file/d/1PBiyD4KIxWKtFyMF-vn5Eaau4tFxofIk/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_halpha_tsst_image.rst b/docs/source/products/data/unitov_halpha_tsst_image.rst new file mode 100644 index 0000000..7c45499 --- /dev/null +++ b/docs/source/products/data/unitov_halpha_tsst_image.rst @@ -0,0 +1,45 @@ +========================================= +UNITOV TSST H-alpha Full Disk Images +========================================= + +.. contents:: The tiny table of contents + +The Hα channel of the TSST is a Daystar SR-127 QT, an achromatic refractor with 127 mm aperture and a focal length of 2667 mm. The telescope features a narrow band filter with a passband of 0.04 nm centered at the Hα line. The filter is a temperature stabilized etalon in collimated configuration, and it is the same filter used in the GONG network for the Hα channel to monitor the chromospheric transients (Giersch, 2013). The Hα channel is equipped with a focal reducer, acting also as a field curvature corrector, to match the Dalsa Pantera 1M60 pixel scale of the MOF channel (2.6 arcsec/pixel). The main goal of this TSST channel is the real time detection of flaring region (Piazzesi et al., 2012; Pötzi et al., 2015, 2018) during the impulsive and flash phases when the intensity reaches its maximum (Benz, 2017). Hα images are extremely important for ground based SWe monitoring (see, e.g. Veronig & Potzi, 2016) and to automatically detect and track structures in the solar chromosphere, as filaments (Bernasconi et al., 2005; Fuller et al., 2005; Bonnin et al., 2013) and prominences (Wang et al., 2010), that can be associated with flare and coronal mass ejections. + +**Providers**: + +- **TSST** - source: + + - H-alpha + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T12:32:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .fits + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_icme_tableset.rst b/docs/source/products/data/unitov_icme_tableset.rst new file mode 100644 index 0000000..b479765 --- /dev/null +++ b/docs/source/products/data/unitov_icme_tableset.rst @@ -0,0 +1,49 @@ +========================================= +UNITOV Catalogue of geoeffective CMEs +========================================= + +.. contents:: The tiny table of contents + +A database associating L1 Time of Arrival and Speed of an interplanetary CME to the kinematic characteristics of the corresponding CME, covering the period 1996-2020. + +**Providers**: + +- **SDO** - source: + + - AIA +- **SOHO** - source: + + - LASCO +- **Richardson & Cane CME List** +- **ACE** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-08T11:24:13+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - csv + + +| **Sample**: https://drive.google.com/file/d/11IuER_C1n1ihFk9I8U5wY62IUJVd6go_/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_mag_tsst_image.rst b/docs/source/products/data/unitov_mag_tsst_image.rst new file mode 100644 index 0000000..acac8a1 --- /dev/null +++ b/docs/source/products/data/unitov_mag_tsst_image.rst @@ -0,0 +1,45 @@ +========================================= +UNITOV TSST Full Disk LoS magnetic maps +========================================= + +.. contents:: The tiny table of contents + +The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. + +**Providers**: + +- **TSST** - source: + + - MOF + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T12:32:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .fits + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_pdb_model.rst b/docs/source/products/data/unitov_pdb_model.rst new file mode 100644 index 0000000..4b550d1 --- /dev/null +++ b/docs/source/products/data/unitov_pdb_model.rst @@ -0,0 +1,40 @@ +========================================= +UNITOV P-DBM CME propagation model +========================================= + +.. contents:: The tiny table of contents + +The CME propagation is modeled by using probability distribution functions. This allows us to evaluate the ICME arrival times and velocities along with the uncertainties on the forecast. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-14T10:45:06+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.4: Scheduled computation +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.5: On demand computation +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_rdparameter_tableset.rst b/docs/source/products/data/unitov_rdparameter_tableset.rst new file mode 100644 index 0000000..ff7ebb8 --- /dev/null +++ b/docs/source/products/data/unitov_rdparameter_tableset.rst @@ -0,0 +1,45 @@ +========================================= +UNITOV R and D Active Region parameters +========================================= + +.. contents:: The tiny table of contents + +Parameters for flare-forecasting applications, representing the complexity of a solar active region + +**Providers**: + +- **SDO** - source: + + - HMI + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-05-11T10:59:38+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: tableset + +| **Data formats**: - csv + + +| **Sample**: https://drive.google.com/file/d/1U8NIiVtR19sSaxDMGgz5pgWLMV4ISCk7/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/data/unitov_vel_tsst_image.rst b/docs/source/products/data/unitov_vel_tsst_image.rst new file mode 100644 index 0000000..d2979da --- /dev/null +++ b/docs/source/products/data/unitov_vel_tsst_image.rst @@ -0,0 +1,45 @@ +========================================= +UNITOV TSST Full Disk Velocity Maps +========================================= + +.. contents:: The tiny table of contents + +The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. + +**Providers**: + +- **TSST** - source: + + - MOF + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T12:32:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .fits + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/inaf_visual_gsm_sw.rst b/docs/source/products/software/inaf_visual_gsm_sw.rst new file mode 100644 index 0000000..6232434 --- /dev/null +++ b/docs/source/products/software/inaf_visual_gsm_sw.rst @@ -0,0 +1,45 @@ +========================================= +INAF Grad-Shafranov Reconstruction of Magnetic Clouds +========================================= + +.. contents:: The tiny table of contents + +Visualization of the quasi 3-d magnetic field maps of magnetic field configuration within magnetic clouds for geoeffective target SWE events. + +**Providers**: + +- **Grad-Shafranov reconstruction maps** - source: + + - In ASPIS + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - m + + +| **Sample**: https://drive.google.com/file/d/1qYJfj-iPrdDj6O1Tv8zsnSIhWABw0uO6/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/inaf_visual_mercexo_sw.rst b/docs/source/products/software/inaf_visual_mercexo_sw.rst new file mode 100644 index 0000000..af5ac9e --- /dev/null +++ b/docs/source/products/software/inaf_visual_mercexo_sw.rst @@ -0,0 +1,38 @@ +========================================= +INAF Bidimensional maps of Mercury Na exosphere +========================================= + +.. contents:: The tiny table of contents + +Dataset of observations of Mercury's exosphere in the sodium D lines. Data are taken from the ground-based solar telescope THEMIS (years 2009-2013). They have been analyzed in both D1 and D2 lines (when both available) and converted into bi-dimensional maps of Rayleigh emission. Estimation of the “seeing” parameter is included in the jpeg files.. + +**Providers**: + +- **THEMIS solar telescope ** + + +| **Product Type**: data + +| **Status**: Active + +| **Creation date**: 2022-04-29T17:15:42+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - jpg + + +| **Sample**: https://drive.google.com/file/d/1v_1WO04KeDjFU4LVMKy21olBuK4aX5QC/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI + diff --git a/docs/source/products/software/inaf_visual_tps_sw.rst b/docs/source/products/software/inaf_visual_tps_sw.rst new file mode 100644 index 0000000..2ebe249 --- /dev/null +++ b/docs/source/products/software/inaf_visual_tps_sw.rst @@ -0,0 +1,45 @@ +========================================= +INAF Test Particle Simulation on Magnetic Clouds +========================================= + +.. contents:: The tiny table of contents + +Program for isualization of the galactic cosmic ray intensity variations associated to the passage of magnetic clouds. + +**Providers**: + +- **Particle intensity variation maps** - source: + + - in ASPIS + + +| **Product Type**: lookup-table + +| **Status**: Active + +| **Creation date**: 2022-04-26T12:00:39+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - m + + +| **Sample**: https://drive.google.com/file/d/1s2ODSuH1Ty9AJhQA5dNE71Dan1TiKcqE/view?usp=sharing + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/ingv_symhfore_sw.rst b/docs/source/products/software/ingv_symhfore_sw.rst new file mode 100644 index 0000000..c5a6a51 --- /dev/null +++ b/docs/source/products/software/ingv_symhfore_sw.rst @@ -0,0 +1,47 @@ +========================================= +INGV 5-minute forecast of Sym-H index +========================================= + +.. contents:: The tiny table of contents + +SYM-H is forecast using two different artificial neural network (ANN) models. One is based on the long short-term memory (LSTM) and the other on the convolutional neural network (CNN). Both requires as input 5-minute averages of IMF Bz, By^2 and B^2. The former model needs also SymH values. Prediction is performed 1-hour in advance. The product consists in a Python software to run the models and two sets of coefficients (two different files containing the two networks configurations). + +**Providers**: + +- **INGV** - source: + + - Magnetometer + + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-29T12:00:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: timeseries + +| **Data formats**: - json + + +| **Sample**: 8_AQU_sample.json + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.4: Scheduled computation +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/unical_euvwaves_sw.rst b/docs/source/products/software/unical_euvwaves_sw.rst new file mode 100644 index 0000000..f8e4ee4 --- /dev/null +++ b/docs/source/products/software/unical_euvwaves_sw.rst @@ -0,0 +1,38 @@ +========================================= +UNICAL EUV waves-CME catalog +========================================= + +.. contents:: The tiny table of contents + +Python package for reading and visualising Global EUV wave events to be associated with CME events + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-30T12:30:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- ext2230.3: Download: ASPIS.py +- ext2230.1: Advanced Visualisation: ASPIS.py +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- ext2220.3: Download: Web GUI + diff --git a/docs/source/products/software/unical_visual_spectra_sw.rst b/docs/source/products/software/unical_visual_spectra_sw.rst new file mode 100644 index 0000000..0f254f5 --- /dev/null +++ b/docs/source/products/software/unical_visual_spectra_sw.rst @@ -0,0 +1,41 @@ +========================================= +UNICAL Visualization code for ESP and SEP proton spectra +========================================= + +.. contents:: The tiny table of contents + +Visualization code for ESP and SEP proton spectra. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-22T11:50:00+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2320.1: Data conversion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/unict_facfil_sw.rst b/docs/source/products/software/unict_facfil_sw.rst new file mode 100644 index 0000000..5efe91f --- /dev/null +++ b/docs/source/products/software/unict_facfil_sw.rst @@ -0,0 +1,40 @@ +========================================= +UNICT Facular area and filaments geometrical characteristics +========================================= + +.. contents:: The tiny table of contents + +Software devoted to the automated determination of the facular area and of the filaments geometrical characteristics using Catania Solar Telescope H-alpha real-time and archival (last 3 years) images with a spatial resolution of 2 arcsec and a cadence of 10 min for the archival data and 1 min for real-time data. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-27T21:16:26+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.4: Scheduled computation +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- int2320.1: Data conversion + diff --git a/docs/source/products/software/unict_sunspotclass_sw.rst b/docs/source/products/software/unict_sunspotclass_sw.rst new file mode 100644 index 0000000..41ee4c6 --- /dev/null +++ b/docs/source/products/software/unict_sunspotclass_sw.rst @@ -0,0 +1,40 @@ +========================================= +UNICT Sunspots Zurich and McIntosh class +========================================= + +.. contents:: The tiny table of contents + +Software devoted to the automated determination of the sunspots Zurich and McIntosh class, using real-time and archival (last 3 years) continuum images acquired at the Catania Astrophysical Telescope. The images have a spatial resolution of 2 arcsec and a cadence of 1 image per day. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-27T17:47:26+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + diff --git a/docs/source/products/software/unict_visual_photchrom_sw.rst b/docs/source/products/software/unict_visual_photchrom_sw.rst new file mode 100644 index 0000000..7e7b11d --- /dev/null +++ b/docs/source/products/software/unict_visual_photchrom_sw.rst @@ -0,0 +1,43 @@ +========================================= +UNICT Visualisation of photospheric and chromospheric features +========================================= + +.. contents:: The tiny table of contents + +Software devoted to the visualisation of: 1) sunspots Zurich and McIntosh class, using real-time and archival (last 3 years) continuum images acquired at the Catania Astrophysical Telescope (CAT); 2) facular area and filaments geometrical properties, using CAT H-alpha real-time and archival (last 3 years) images; 3) geometry and location of prominences on the solar limb using real-time CAT H-alpha images. + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-27T19:47:26+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- int2130.2: Mirroring: synchronised +- int2130.4: Scheduled computation +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py +- ext2220.1: Standard Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- int2320.1: Data conversion + diff --git a/docs/source/products/software/unige_desat_sw.rst b/docs/source/products/software/unige_desat_sw.rst new file mode 100644 index 0000000..9986b2d --- /dev/null +++ b/docs/source/products/software/unige_desat_sw.rst @@ -0,0 +1,33 @@ +========================================= +UNIGE Method for desaturation of EUV images +========================================= + +.. contents:: The tiny table of contents + +Inpainting and inverse problems methods for the desaturation of EUV images + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-30T11:53:33+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +ND diff --git a/docs/source/products/software/unige_flarefore_sw.rst b/docs/source/products/software/unige_flarefore_sw.rst new file mode 100644 index 0000000..f37dbb5 --- /dev/null +++ b/docs/source/products/software/unige_flarefore_sw.rst @@ -0,0 +1,33 @@ +========================================= +UNIGE Artificial intelligence methods for flare prediction +========================================= + +.. contents:: The tiny table of contents + +Machine learning methods for the prediction of flares events + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-30T11:53:33+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +ND diff --git a/docs/source/products/software/unige_fourierxray_sw.rst b/docs/source/products/software/unige_fourierxray_sw.rst new file mode 100644 index 0000000..9b931c1 --- /dev/null +++ b/docs/source/products/software/unige_fourierxray_sw.rst @@ -0,0 +1,33 @@ +========================================= +UNIGE Image reconstruction from Fourier X-ray data +========================================= + +.. contents:: The tiny table of contents + +Computational methods based on inverse problems for the image reconstruction of X-ray images of solar flares + +**Providers**: + +ND + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-30T11:53:33+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: ND + +| **Data formats**: ND + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + + diff --git a/docs/source/products/software/unitov_visual_tsst_sw.rst b/docs/source/products/software/unitov_visual_tsst_sw.rst new file mode 100644 index 0000000..7b3e239 --- /dev/null +++ b/docs/source/products/software/unitov_visual_tsst_sw.rst @@ -0,0 +1,45 @@ +========================================= +UNITOV TSST Visualization codes +========================================= + +.. contents:: The tiny table of contents + +The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s together with H-alpha images of the chromosphere. This software has the goal to visualize maps in the TSST database. + +**Providers**: + +- **TSST** - source: + + - MOF + + +| **Product Type**: software + +| **Status**: Active + +| **Creation date**: 2022-04-29T12:32:27+02:00 + +| **Last Update**: 2023-10-01T12:00:00+02:00 + +Data Description +~~~~~~~~~~~~~~~~ + +| **Data type**: image + +| **Data formats**: - .fits + + +| **Sample**: ND + +Capabilities +~~~~~~~~~~~~ + +- int2130.1: Product ingestion +- ext2220.1: Standard Visualisation: Web GUI +- ext2220.2: Standard Query: Web GUI +- ext2220.3: Download: Web GUI +- ext2220.4: NRT Visualisation: Web GUI +- ext2230.1: Advanced Visualisation: ASPIS.py +- ext2230.2: Advanced Query: ASPIS.py +- ext2230.3: Download: ASPIS.py + -- GitLab From 9a7b51d01b367256f3b63f179e4dd478a6849564 Mon Sep 17 00:00:00 2001 From: stefano scardigli Date: Mon, 30 Oct 2023 11:51:17 +0100 Subject: [PATCH 2/3] Updating wiki files, with added new products and old files removed. --- docs/source/products/data/15_unitov_icme.rst | 119 ---------- docs/source/products/data/1A_unitov_mag.rst | 208 ------------------ docs/source/products/data/1B_unitov_vel.rst | 208 ------------------ docs/source/products/data/2_unitov_halpha.rst | 208 ------------------ docs/source/products/data/3_unitov_RandD.rst | 80 ------- .../products/data/48D_ingv_LMPalert.rst | 113 ---------- .../products/data/49A_ingv_Swarm_LoL_maps.rst | 118 ---------- .../products/data/49B_ingv_Swarm_LoL_ts.rst | 118 ---------- .../products/data/51A_iaps_testpart-cubes.rst | 100 --------- .../data/51B_iaps_testpart-images.rst | 97 -------- .../products/data/57A_inaf_mercnafts.rst | 102 --------- docs/source/products/data/57B_inaf_mercna.rst | 102 --------- .../data/58_iaps_Simulated_SW_Flux.rst | 78 ------- .../products/data/7_iaps_m2flare_list.rst | 102 --------- docs/source/products/data/8A_ingv_AQUmag.rst | 112 ---------- docs/source/products/data/8B_ingv_CTSmag.rst | 112 ---------- .../products/data/8C_ingv_CTSmagdef.rst | 113 ---------- docs/source/products/data/8D_ingv_DMCmag.rst | 80 ------- 18 files changed, 2170 deletions(-) delete mode 100644 docs/source/products/data/15_unitov_icme.rst delete mode 100644 docs/source/products/data/1A_unitov_mag.rst delete mode 100644 docs/source/products/data/1B_unitov_vel.rst delete mode 100644 docs/source/products/data/2_unitov_halpha.rst delete mode 100644 docs/source/products/data/3_unitov_RandD.rst delete mode 100644 docs/source/products/data/48D_ingv_LMPalert.rst delete mode 100644 docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst delete mode 100644 docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst delete mode 100644 docs/source/products/data/51A_iaps_testpart-cubes.rst delete mode 100644 docs/source/products/data/51B_iaps_testpart-images.rst delete mode 100644 docs/source/products/data/57A_inaf_mercnafts.rst delete mode 100644 docs/source/products/data/57B_inaf_mercna.rst delete mode 100644 docs/source/products/data/58_iaps_Simulated_SW_Flux.rst delete mode 100644 docs/source/products/data/7_iaps_m2flare_list.rst delete mode 100644 docs/source/products/data/8A_ingv_AQUmag.rst delete mode 100644 docs/source/products/data/8B_ingv_CTSmag.rst delete mode 100644 docs/source/products/data/8C_ingv_CTSmagdef.rst delete mode 100644 docs/source/products/data/8D_ingv_DMCmag.rst diff --git a/docs/source/products/data/15_unitov_icme.rst b/docs/source/products/data/15_unitov_icme.rst deleted file mode 100644 index 7db5de2..0000000 --- a/docs/source/products/data/15_unitov_icme.rst +++ /dev/null @@ -1,119 +0,0 @@ -========================================= -UNITOV Catalogue of geoeffective CMEs -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -UNITOV Catalogue of geoeffective CMEs -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -A database associating L1 Time of Arrival and Speed of an interplanetary CME to the kinematic characteristics of the corresponding CME, covering the period 1996-2020. - - -Data Description ----------------- - -| **Data type**: tableset - -| **Data formats**: - csv - - -| **Version**: v2.1 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **SDO** - source: - - - AIA -- **SOHO** - source: - - - LASCO -- **Richardson & Cane CME List** -- **ACE** - - - -Data Relationships ------------------ - -- type: related-to - -- description: P-DBM model can ingest part of the table to simulate the ICME propagation - -- relatedproduct: UNITOV-PDBM - -- relatedproductid: aspis:/unitov/p-dbm - -. - -Data are ND with - type: related-to - -- description: P-DBM model can ingest part of the table to simulate the ICME propagation - -- relatedproduct: UNITOV-PDBM - -- relatedproductid: aspis:/unitov/p-dbm - - marked as id: - type: related-to - -- description: P-DBM model can ingest part of the table to simulate the ICME propagation - -- relatedproduct: UNITOV-PDBM - -- relatedproductid: aspis:/unitov/p-dbm - - - :ref:`- type: related-to - -- description: P-DBM model can ingest part of the table to simulate the ICME propagation - -- relatedproduct: UNITOV-PDBM - -- relatedproductid: aspis:/unitov/p-dbm - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Corona -- Interplanetary Space (not L1 and Planets) -- Sun-Earth L1 - - -| **Temporal** - time_start: 1997-01-01T00:00:00+01:00 - -- time_stop: 2019-12-31T23:59:00+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-08T11:24:13+02:00 - -| **Last Update**: 2022-04-08T11:25:24+02:00 - -Data Policy --------------- - -This product contains public data. Other. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/1A_unitov_mag.rst b/docs/source/products/data/1A_unitov_mag.rst deleted file mode 100644 index 7b7882b..0000000 --- a/docs/source/products/data/1A_unitov_mag.rst +++ /dev/null @@ -1,208 +0,0 @@ -========================================= -TSST Full Disk LoS magnetic maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -TSST Full Disk LoS magnetic maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - .fits - - -| **Version**: V1.0 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **TSST** - source: - - - MOF - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -. - -Data are ND with - type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - marked as id: - type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - - :ref:`- type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Photosphere - - -| **Temporal** - time_start: 2022-09-01T15:13:04+02:00 - -- time_stop: 2023-05-01T15:13:46+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-29T12:32:27+02:00 - -| **Last Update**: 2022-04-29T12:32:46+02:00 - -Data Policy --------------- - -This product contains public data. The TSST data are made available freely and without restrictions to all parties and for all purposes exploiting open data policy. As part of the development of collaboration with the broader solar and heliophysics community, however, the TSST team has defined some rules to govern how TSST data should be used. The PI recommends that scientists adhere to the following guidelines: 1) All publications using TSST data should: 1.1) be sent to the PI (luca.giovannelli@roma2.infn.it) after submission to keep record of the relevant publications; 1.2) Acknowledge the sources of data used in all publications, presentations, and reports mentioning the correct DOI of the dataset used in the paper; 1.3) add to the acknowledgments the subsequent text: “The TSST instrument is partially supported by the Italian MIUR-PRIN grant 2017APKP7T on Circumterrestrial Environment: Impact of Sun-Earth Interaction. TSST database is available at: https://helio.roma2.infn.it”; 1.4) where applicable, include the members of the TSST core team (as defined in TSST official website) in the list of authors; 1.5) cite the instrument paper (Giovannelli et al., JSWSC, 2020); 2) In case of any doubt about the instrument, users are encouraged to consult with the PI to discuss the appropriate use of instrument data or derived products.. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/1B_unitov_vel.rst b/docs/source/products/data/1B_unitov_vel.rst deleted file mode 100644 index 5f33a17..0000000 --- a/docs/source/products/data/1B_unitov_vel.rst +++ /dev/null @@ -1,208 +0,0 @@ -========================================= -TSST Full Disk Velocity Maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -TSST Full Disk Velocity Maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - .fits - - -| **Version**: V1.0 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **TSST** - source: - - - MOF - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproductid: aspis:///unitov/mag - -- relatedproduct: TSST-mag - -- description: TSST Full Disk LoS Magnetic Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -. - -Data are ND with - type: related-to - -- relatedproductid: aspis:///unitov/mag - -- relatedproduct: TSST-mag - -- description: TSST Full Disk LoS Magnetic Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - marked as id: - type: related-to - -- relatedproductid: aspis:///unitov/mag - -- relatedproduct: TSST-mag - -- description: TSST Full Disk LoS Magnetic Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - - :ref:`- type: related-to - -- relatedproductid: aspis:///unitov/mag - -- relatedproduct: TSST-mag - -- description: TSST Full Disk LoS Magnetic Maps - -- type: related-to - -- description: TSST H-alpha Full Disk Images - -- relatedproduct: TSST-halpha - -- relatedproductid: aspis:///unitov/halpha - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Photosphere - - -| **Temporal** - time_start: 2022-09-01T15:13:04+02:00 - -- time_stop: 2023-05-01T15:13:46+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-29T12:32:27+02:00 - -| **Last Update**: 2022-04-29T12:32:46+02:00 - -Data Policy --------------- - -This product contains public data. The TSST data are made available freely and without restrictions to all parties and for all purposes exploiting open data policy. As part of the development of collaboration with the broader solar and heliophysics community, however, the TSST team has defined some rules to govern how TSST data should be used. The PI recommends that scientists adhere to the following guidelines: 1) All publications using TSST data should: 1.1) be sent to the PI (luca.giovannelli@roma2.infn.it) after submission to keep record of the relevant publications; 1.2) Acknowledge the sources of data used in all publications, presentations, and reports mentioning the correct DOI of the dataset used in the paper; 1.3) add to the acknowledgments the subsequent text: “The TSST instrument is partially supported by the Italian MIUR-PRIN grant 2017APKP7T on Circumterrestrial Environment: Impact of Sun-Earth Interaction. TSST database is available at: https://helio.roma2.infn.it”; 1.4) where applicable, include the members of the TSST core team (as defined in TSST official website) in the list of authors; 1.5) cite the instrument paper (Giovannelli et al., JSWSC, 2020); 2) In case of any doubt about the instrument, users are encouraged to consult with the PI to discuss the appropriate use of instrument data or derived products.. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/2_unitov_halpha.rst b/docs/source/products/data/2_unitov_halpha.rst deleted file mode 100644 index e079628..0000000 --- a/docs/source/products/data/2_unitov_halpha.rst +++ /dev/null @@ -1,208 +0,0 @@ -========================================= -TSST H-alpha Full Disk Images -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -TSST H-alpha Full Disk Images -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -The Hα channel of the TSST is a Daystar SR-127 QT, an achromatic refractor with 127 mm aperture and a focal length of 2667 mm. The telescope features a narrow band filter with a passband of 0.04 nm centered at the Hα line. The filter is a temperature stabilized etalon in collimated configuration, and it is the same filter used in the GONG network for the Hα channel to monitor the chromospheric transients (Giersch, 2013). The Hα channel is equipped with a focal reducer, acting also as a field curvature corrector, to match the Dalsa Pantera 1M60 pixel scale of the MOF channel (2.6 arcsec/pixel). The main goal of this TSST channel is the real time detection of flaring region (Piazzesi et al., 2012; Pötzi et al., 2015, 2018) during the impulsive and flash phases when the intensity reaches its maximum (Benz, 2017). Hα images are extremely important for ground based SWe monitoring (see, e.g. Veronig & Potzi, 2016) and to automatically detect and track structures in the solar chromosphere, as filaments (Bernasconi et al., 2005; Fuller et al., 2005; Bonnin et al., 2013) and prominences (Wang et al., 2010), that can be associated with flare and coronal mass ejections. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - .fits - - -| **Version**: V1.0 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **TSST** - source: - - - H-alpha - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST Full Disk LoS magnetic maps - -- relatedproduct: TSST-mag - -- relatedproductid: aspis:///unitov/mag - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -. - -Data are ND with - type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST Full Disk LoS magnetic maps - -- relatedproduct: TSST-mag - -- relatedproductid: aspis:///unitov/mag - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - marked as id: - type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST Full Disk LoS magnetic maps - -- relatedproduct: TSST-mag - -- relatedproductid: aspis:///unitov/mag - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - - - :ref:`- type: related-to - -- relatedproductid: aspis:///unitov/vel - -- relatedproduct: TSST-vel - -- description: TSST Full Disk Velocity Maps - -- type: related-to - -- description: TSST Full Disk LoS magnetic maps - -- relatedproduct: TSST-mag - -- relatedproductid: aspis:///unitov/mag - -- type: related-to - -- description: TSST Visualization codes - -- relatedproduct: TSST-vis-codes - -- relatedproductid: aspis:///unitov/vis-codes - -- type: related-to - -- description: R and D parameters and flare (M- and X-class) probability - -- relatedproduct: UNITOV-R-and-D - -- relatedproductid: aspis:///unitov/rd - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Chromosphere - - -| **Temporal** - time_start: 2022-09-01T15:13:04+02:00 - -- time_stop: 2023-05-01T15:13:46+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-29T12:32:27+02:00 - -| **Last Update**: 2022-04-29T12:32:46+02:00 - -Data Policy --------------- - -This product contains public data. The TSST data are made available freely and without restrictions to all parties and for all purposes exploiting open data policy. As part of the development of collaboration with the broader solar and heliophysics community, however, the TSST team has defined some rules to govern how TSST data should be used. The PI recommends that scientists adhere to the following guidelines: 1) All publications using TSST data should: 1.1) be sent to the PI (luca.giovannelli@roma2.infn.it) after submission to keep record of the relevant publications; 1.2) Acknowledge the sources of data used in all publications, presentations, and reports mentioning the correct DOI of the dataset used in the paper; 1.3) add to the acknowledgments the subsequent text: “The TSST instrument is partially supported by the Italian MIUR-PRIN grant 2017APKP7T on Circumterrestrial Environment: Impact of Sun-Earth Interaction. TSST database is available at: https://helio.roma2.infn.it”; 1.4) where applicable, include the members of the TSST core team (as defined in TSST official website) in the list of authors; 1.5) cite the instrument paper (Giovannelli et al., JSWSC, 2020); 2) In case of any doubt about the instrument, users are encouraged to consult with the PI to discuss the appropriate use of instrument data or derived products.. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/3_unitov_RandD.rst b/docs/source/products/data/3_unitov_RandD.rst deleted file mode 100644 index 726a048..0000000 --- a/docs/source/products/data/3_unitov_RandD.rst +++ /dev/null @@ -1,80 +0,0 @@ -========================================= -R and D Active Region parameters -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -R and D Active Region parameters -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Parameters for flare-forecasting applications, representing the complexity of a solar active region - - -Data Description ----------------- - -| **Data type**: tableset - -| **Data formats**: - csv - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **SDO** - source: - - - HMI - - - -Data Relationships ------------------ - -ND. - -Data are ND with ND marked as id: ND - :ref:`ND` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Photosphere - - -| **Temporal** - time_start: 2012-09-14T03:00:41+02:00 - -- time_stop: 2016-04-13T12:01:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-05-11T10:59:38+02:00 - -| **Last Update**: 2022-05-11T10:59:42+02:00 - -Data Policy --------------- - -This product contains public data. Other. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/48D_ingv_LMPalert.rst b/docs/source/products/data/48D_ingv_LMPalert.rst deleted file mode 100644 index ab7df41..0000000 --- a/docs/source/products/data/48D_ingv_LMPalert.rst +++ /dev/null @@ -1,113 +0,0 @@ -========================================= -Lampedusa GIC level alert -~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Lampedusa GIC level alert -~~~~~~~~~~~~~~~~~~~~~~~~ - - -From both components of GIC index for Lampedusa observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) - - -Data Description ----------------- - -| **Data type**: timeseries - -| **Data formats**: - json -- txt - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **INGV** - source: - - - Algorithm - - - -Data Relationships ------------------ - -- type: related-to - -- description: input data needed to calculate GIC level alert - -- relatedproduct: Lampedusa GIC index - -- relatedproductid: LMPGIC - -. - -Data are ND with - type: related-to - -- description: input data needed to calculate GIC level alert - -- relatedproduct: Lampedusa GIC index - -- relatedproductid: LMPGIC - - marked as id: - type: related-to - -- description: input data needed to calculate GIC level alert - -- relatedproduct: Lampedusa GIC index - -- relatedproductid: LMPGIC - - - :ref:`- type: related-to - -- description: input data needed to calculate GIC level alert - -- relatedproduct: Lampedusa GIC index - -- relatedproductid: LMPGIC - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ground - - -| **Temporal** - time_start: 2017-04-04T00:00:00+01:00 - -- time_stop: 2022-04-21T00:00:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-30T18:00:00+02:00 - -| **Last Update**: 2022-04-30T18:00:00+02:00 - -Data Policy --------------- - -This product contains public data. Not defined. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst b/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst deleted file mode 100644 index 1c1ae58..0000000 --- a/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst +++ /dev/null @@ -1,118 +0,0 @@ -========================================= -GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Global maps of GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - text files - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **Swarm A satellite** - source: - - - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ -- **Swarm B satellite** - source: - - - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ -- **Swarm C satellite** - source: - - - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ - - - -Data Relationships ------------------ - -- type: related-to - -- description: Global maps of ionospheric indices - -- relatedproduct: Global maps of ionospheric indices - -- relatedproductid: 32 - -. - -Data are ND with - type: related-to - -- description: Global maps of ionospheric indices - -- relatedproduct: Global maps of ionospheric indices - -- relatedproductid: 32 - - marked as id: - type: related-to - -- description: Global maps of ionospheric indices - -- relatedproduct: Global maps of ionospheric indices - -- relatedproductid: 32 - - - :ref:`- type: related-to - -- description: Global maps of ionospheric indices - -- relatedproduct: Global maps of ionospheric indices - -- relatedproductid: 32 - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ionosphere - - -| **Temporal** - time_start: 2014-01-01T00:00:50+01:00 - -- time_stop: 2020-12-31T23:59:07+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-26T16:16:20+02:00 - -| **Last Update**: 2022-04-26T17:05:28+02:00 - -Data Policy --------------- - -This product contains public data. Images available upon request or database query. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst b/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst deleted file mode 100644 index c8096a3..0000000 --- a/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst +++ /dev/null @@ -1,118 +0,0 @@ -========================================= -GPS Loss of Lock (LoL) events time series from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -GPS Loss of Lock (LoL) events time series from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. - - -Data Description ----------------- - -| **Data type**: tableset - -| **Data formats**: - text files - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **Swarm A satellite** - source: - - - ESA Swarm A Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ -- **Swarm B satellite** - source: - - - ESA Swarm B Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ -- **Swarm C satellite** - source: - - - ESA Swarm C Precise Orbit Determination (POD) antenna, https://swarm-diss.eo.esa.int/ - - - -Data Relationships ------------------ - -- type: related-to - -- description: Global maps of ionospheric indices - -- relatedproductid: 32 - -- relatedproduct: Global maps of ionospheric indices - -. - -Data are ND with - type: related-to - -- description: Global maps of ionospheric indices - -- relatedproductid: 32 - -- relatedproduct: Global maps of ionospheric indices - - marked as id: - type: related-to - -- description: Global maps of ionospheric indices - -- relatedproductid: 32 - -- relatedproduct: Global maps of ionospheric indices - - - :ref:`- type: related-to - -- description: Global maps of ionospheric indices - -- relatedproductid: 32 - -- relatedproduct: Global maps of ionospheric indices - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ionosphere - - -| **Temporal** - time_start: 2014-01-01T00:00:50+01:00 - -- time_stop: 2020-12-31T23:59:07+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-26T16:16:20+02:00 - -| **Last Update**: 2022-04-26T17:05:28+02:00 - -Data Policy --------------- - -This product contains public data. Time series in .txt format available upon request or database query. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/51A_iaps_testpart-cubes.rst b/docs/source/products/data/51A_iaps_testpart-cubes.rst deleted file mode 100644 index a60fa30..0000000 --- a/docs/source/products/data/51A_iaps_testpart-cubes.rst +++ /dev/null @@ -1,100 +0,0 @@ -========================================= -IAPS Test Particle Simulation on Magnetic Clouds -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -IAPS Test Particle Simulation on Magnetic Clouds -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Galactic cosmic ray intensity variations associated to the passage of magnetic clouds. The particle intensity variation is estimated through a dedicated full-orbit test-particle simulation. - - -Data Description ----------------- - -| **Data type**: spectral-cubes - -| **Data formats**: - mat - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **Solar Modulation Parameter Table Oulu NM** - source: - - - https://cosmicrays.oulu.fi/phi/phi.html -- **Grad-Shafranov reconstruction maps** - source: - - - in ASPIS - - - -Data Relationships ------------------ - -- type: related-to - -- description: Test-Particle Simulation on magnetic clouds - -. - -Data are ND with - type: related-to - -- description: Test-Particle Simulation on magnetic clouds - - marked as id: - type: related-to - -- description: Test-Particle Simulation on magnetic clouds - - - :ref:`- type: related-to - -- description: Test-Particle Simulation on magnetic clouds - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Interplanetary Space (not L1 and Planets) -- Sun-Earth L1 - - -| **Temporal** - time_start: 1997-01-01T00:00:00+01:00 - -- time_stop: 2022-01-01T00:00:00+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-26T12:00:39+02:00 - -| **Last Update**: 2022-04-26T12:00:50+02:00 - -Data Policy --------------- - -This product contains public data. Other. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/51B_iaps_testpart-images.rst b/docs/source/products/data/51B_iaps_testpart-images.rst deleted file mode 100644 index d34644a..0000000 --- a/docs/source/products/data/51B_iaps_testpart-images.rst +++ /dev/null @@ -1,97 +0,0 @@ -========================================= -IAPS Test Particle Simulation on Magnetic Clouds -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -IAPS Test Particle Simulation on Magnetic Clouds -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Visualization of the galactic cosmic ray intensity variations associated to the passage of magnetic clouds. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - m - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **Particle intensity variation maps** - source: - - - in ASPIS - - - -Data Relationships ------------------ - -- type: related-to - -- description: Test-Particle Simulation on magnetic clouds - -. - -Data are ND with - type: related-to - -- description: Test-Particle Simulation on magnetic clouds - - marked as id: - type: related-to - -- description: Test-Particle Simulation on magnetic clouds - - - :ref:`- type: related-to - -- description: Test-Particle Simulation on magnetic clouds - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Interplanetary Space (not L1 and Planets) -- Sun-Earth L1 - - -| **Temporal** - time_start: 1997-01-01T00:00:00+01:00 - -- time_stop: 2022-01-01T00:00:00+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-26T12:00:39+02:00 - -| **Last Update**: 2022-04-26T12:00:50+02:00 - -Data Policy --------------- - -This product contains public data. Other. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/57A_inaf_mercnafts.rst b/docs/source/products/data/57A_inaf_mercnafts.rst deleted file mode 100644 index e5d5349..0000000 --- a/docs/source/products/data/57A_inaf_mercnafts.rst +++ /dev/null @@ -1,102 +0,0 @@ -========================================= -INAF-bidimensional maps of Mercury Na exosphere -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -INAF-bidimensional maps of Mercury Na exosphere -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Dataset of observations of Mercury's exosphere in the sodium D lines. Data are taken from the ground-based solar telescope THEMIS (years 2009-2013). They have been produced in both D1 and D2 lines (when both available) and converted into bi-dimensional maps of Rayleigh emission. Estimation of the “seeing” parameter is included in the jpeg files. Here the original fits files are given too for the whole database (2007-2014), and it may be expanded to the most recent data from 2021 and 2022 (TBC). Data can be provided both uncalibrated and/or calibrated (TBD). - - -Data Description ----------------- - -| **Data type**: spectral-cubes - -| **Data formats**: - fts - - -| **Version**: v1.1 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **THEMIS solar telescope ** - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproductid: aspis://inaf/mercna - -- description: bi-dimensional maps - -. - -Data are ND with - type: related-to - -- relatedproductid: aspis://inaf/mercna - -- description: bi-dimensional maps - - marked as id: - type: related-to - -- relatedproductid: aspis://inaf/mercna - -- description: bi-dimensional maps - - - :ref:`- type: related-to - -- relatedproductid: aspis://inaf/mercna - -- description: bi-dimensional maps - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Mercury - - -| **Temporal** - time_start: 2009-04-17T12:10:42+02:00 - -- time_stop: 2013-05-25T19:00:33+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-29T17:15:42+02:00 - -| **Last Update**: 2022-05-06T17:47:07+02:00 - -Data Policy --------------- - -This product contains mixed data. TBD (this point needs to be decided together with the THEMIS telescope and the CNRS that should own the orignal data). - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/57B_inaf_mercna.rst b/docs/source/products/data/57B_inaf_mercna.rst deleted file mode 100644 index 6b5c787..0000000 --- a/docs/source/products/data/57B_inaf_mercna.rst +++ /dev/null @@ -1,102 +0,0 @@ -========================================= -INAF-bidimensional maps of Mercury Na exosphere -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -INAF-bidimensional maps of Mercury Na exosphere -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Dataset of observations of Mercury's exosphere in the sodium D lines. Data are taken from the ground-based solar telescope THEMIS (years 2009-2013). They have been analyzed in both D1 and D2 lines (when both available) and converted into bi-dimensional maps of Rayleigh emission. Estimation of the “seeing” parameter is included in the jpeg files.. - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - jpg - - -| **Version**: v1.1 - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **THEMIS solar telescope ** - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproductid: aspis://inaf/mercnafts - -- description: original data-cube with the spectra - -. - -Data are ND with - type: related-to - -- relatedproductid: aspis://inaf/mercnafts - -- description: original data-cube with the spectra - - marked as id: - type: related-to - -- relatedproductid: aspis://inaf/mercnafts - -- description: original data-cube with the spectra - - - :ref:`- type: related-to - -- relatedproductid: aspis://inaf/mercnafts - -- description: original data-cube with the spectra - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Mercury - - -| **Temporal** - time_start: 2009-04-17T12:10:42+02:00 - -- time_stop: 2013-05-25T19:00:33+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-29T17:15:42+02:00 - -| **Last Update**: ND - -Data Policy --------------- - -This product contains mixed data. TBD. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/58_iaps_Simulated_SW_Flux.rst b/docs/source/products/data/58_iaps_Simulated_SW_Flux.rst deleted file mode 100644 index a6d7e32..0000000 --- a/docs/source/products/data/58_iaps_Simulated_SW_Flux.rst +++ /dev/null @@ -1,78 +0,0 @@ -========================================= -Simulated Maps of SW Flux at the Surface of Mercury -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Simulated Maps of SW Flux at the Surface of Mercury -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -Simulated flux maps of SW precipitating onto the surface of Mercury for a subset of IMF condition, with surface resolution of 1° (LAT/LON) and IMF binning of 5 nT (from -20 to 20 nT) - - -Data Description ----------------- - -| **Data type**: image - -| **Data formats**: - PNG - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -Missing providers - - - -Data Relationships ------------------ - -ND. - -Data are ND with ND marked as id: ND - :ref:`ND` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Mercury - - -| **Temporal** - time_start: 2008-12-01T00:00:57+01:00 - -- time_stop: 2021-12-01T00:00:42+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-05-04T16:00:00+02:00 - -| **Last Update**: 2022-05-04T16:00:00+02:00 - -Data Policy --------------- - -This product contains public data. Results will be publicly available. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/7_iaps_m2flare_list.rst b/docs/source/products/data/7_iaps_m2flare_list.rst deleted file mode 100644 index c346ac9..0000000 --- a/docs/source/products/data/7_iaps_m2flare_list.rst +++ /dev/null @@ -1,102 +0,0 @@ -========================================= -IAPS > M2 SXR Flare Catalogue -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -IAPS > M2 SXR Flare Catalogue -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -The catalogue will contain the > M2 Soft X- Ray (SXR) flares from 1995 to 2017. The columns in the table are defined as follows: (1) event number; (2) date of the SXR flare; (3) peak time of SXR flare; (4) peak SXR classification (saturated events flagged with an S in which case (3) refers to the onset of saturation); (5) flare location; (6) time-integrated SXR intensity (nominally between the 1/3 power points on rise and fall); (7) time-integrated 1 MHz Wind/WAVES intensity from 10 minutes before the onset of integration for the SXR burst to 10 minutes after the SXR burst peak; (8) Waves frequency used. - - -Data Description ----------------- - -| **Data type**: tableset - -| **Data formats**: - xlsx - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **GOES** - sources: - - - 1-8 Å soft X-ray flux - - http://www.ngdc.noaa.gov/stp/satellite/goes/dataaccess.html -- **Wind** - sources: - - - Waves 1 MHz radio flux - - ftp://solar-radio.gsfc.nasa.gov/ - - - -Data Relationships ------------------ - -- type: related-to - -- description: > M2 SXR Flare Catalogue - -. - -Data are ND with - type: related-to - -- description: > M2 SXR Flare Catalogue - - marked as id: - type: related-to - -- description: > M2 SXR Flare Catalogue - - - :ref:`- type: related-to - -- description: > M2 SXR Flare Catalogue - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Interplanetary Space (not L1 and Planets) -- Sun-Earth L1 - - -| **Temporal** - time_start: 1995-01-01T00:00:00+01:00 - -- time_stop: 2017-07-01T00:00:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-26T12:00:39+02:00 - -| **Last Update**: 2022-04-26T12:00:50+02:00 - -Data Policy --------------- - -This product contains public data. Other. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/8A_ingv_AQUmag.rst b/docs/source/products/data/8A_ingv_AQUmag.rst deleted file mode 100644 index 14812c5..0000000 --- a/docs/source/products/data/8A_ingv_AQUmag.rst +++ /dev/null @@ -1,112 +0,0 @@ -========================================= -Preliminary L'Aquila magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Preliminary L'Aquila magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at L'Aquila magnetic observatory (IAGA code: AQU; Latitude: 42.383000°; Longitude: 13.316000°; Altitude: 682.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. - - -Data Description ----------------- - -| **Data type**: timeseries - -| **Data formats**: - json - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **INGV** - source: - - - Magnetometer - - - -Data Relationships ------------------ - -- type: related-to - -- relatedproduct: L'Aquila GIC index - -- relatedproductid: AQUGIC - -- description: GIC index is calculated for both X and Y components - -. - -Data are ND with - type: related-to - -- relatedproduct: L'Aquila GIC index - -- relatedproductid: AQUGIC - -- description: GIC index is calculated for both X and Y components - - marked as id: - type: related-to - -- relatedproduct: L'Aquila GIC index - -- relatedproductid: AQUGIC - -- description: GIC index is calculated for both X and Y components - - - :ref:`- type: related-to - -- relatedproduct: L'Aquila GIC index - -- relatedproductid: AQUGIC - -- description: GIC index is calculated for both X and Y components - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ground - - -| **Temporal** - time_start: 2017-01-01T00:00:00+01:00 - -- time_stop: 2022-04-21T00:00:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-21T18:15:32+02:00 - -| **Last Update**: 2022-04-21T18:15:00+02:00 - -Data Policy --------------- - -This product contains public data. Access to the preliminary data, consisting of one-minute averaged values, is provided for general purposes. Acknowledgement of the INGV Geomagnetism Program in all published documents which make use of our data is requested. . - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/8B_ingv_CTSmag.rst b/docs/source/products/data/8B_ingv_CTSmag.rst deleted file mode 100644 index d869df0..0000000 --- a/docs/source/products/data/8B_ingv_CTSmag.rst +++ /dev/null @@ -1,112 +0,0 @@ -========================================= -Preliminary Castello Tesino magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Preliminary Castello Tesino magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Castello Tesino (TN) magnetic observatory (IAGA code: CTS; Latitude: 46.047000°; Longitude: 11.649000°; Altitude: 1175.000 m). In detail, preliminary \"pseudo\" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. For this observatory also definitive data are available. - - -Data Description ----------------- - -| **Data type**: timeseries - -| **Data formats**: - json - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **INGV** - source: - - - Magnetometer - - - -Data Relationships ------------------ - -- type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - -. - -Data are ND with - type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - - marked as id: - type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - - - :ref:`- type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ground - - -| **Temporal** - time_start: 2017-01-01T00:00:00+01:00 - -- time_stop: 2022-04-21T00:00:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-21T18:15:32+02:00 - -| **Last Update**: 2022-04-21T18:15:00+02:00 - -Data Policy --------------- - -This product contains public data. Access to the preliminary data, consisting of one-minute averaged values, is provided for general purposes. Acknowledgement of the INGV Geomagnetism Program in all published documents which make use of our data is requested.. - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/8C_ingv_CTSmagdef.rst b/docs/source/products/data/8C_ingv_CTSmagdef.rst deleted file mode 100644 index 11888f9..0000000 --- a/docs/source/products/data/8C_ingv_CTSmagdef.rst +++ /dev/null @@ -1,113 +0,0 @@ -========================================= -Definitive Castello Tesino magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Definitive Castello Tesino magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -1-minute averages of the components (X, Y, Z in the NEC, i.e. North-East-Center frame) and of total intensity (F) of the Earth's geomagnetic field measured at Castello Tesino magnetic observatory (IAGA code: CTS; Latitude: 46.047000°; Longitude: 11.649000°; Altitude: 1175.000 m). These are the definitive values that will be used to calculate GICx and GICy indices. These data are definitive, new definitive data are added yearly. -They can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. - - -Data Description ----------------- - -| **Data type**: timeseries - -| **Data formats**: - json - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **INGV** - source: - - - Magnetometer - - - -Data Relationships ------------------ - -- type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - -. - -Data are ND with - type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - - marked as id: - type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - - - :ref:`- type: related-to - -- description: GIC index is calculated for both X and Y components - -- relatedproduct: Castello Tesino GIC index - -- relatedproductid: CTSGIC - -` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ground - - -| **Temporal** - time_start: 2017-01-01T00:00:00+01:00 - -- time_stop: 2020-12-31T00:00:00+01:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-21T18:15:32+02:00 - -| **Last Update**: 2022-04-21T18:15:00+02:00 - -Data Policy --------------- - -This product contains public data. Access to the preliminary data, consisting of one-minute averaged values, is provided for general purposes. Acknowledgement of the INGV Geomagnetism Program in all published documents which make use of our data is requested. . - -Example ------------- - -Example is not yet provided . \ No newline at end of file diff --git a/docs/source/products/data/8D_ingv_DMCmag.rst b/docs/source/products/data/8D_ingv_DMCmag.rst deleted file mode 100644 index 0ab9c8d..0000000 --- a/docs/source/products/data/8D_ingv_DMCmag.rst +++ /dev/null @@ -1,80 +0,0 @@ -========================================= -Preliminary Dome C magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -========================================= - -.. sectnum:: - -.. contents:: The tiny table of contents - -Preliminary Dome C magnetic data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - - -1-minute averages of vector the variations of the components (H, D, Z) and of total intensity (F) of the Earth's geomagnetic field measured at Dome C magnetic observatory(AGA code: DMC; Latitude: -75.250000°; Longitude: 124.167000°; Altitude: 3250.000 m). In detail, preliminary "pseudo" H and D values (that are expressed in the instrument frame) will be used to estimate of the horizontal components (i.e. X and Y) in the NEC (North-East-Center) frame. X and Y so estimated will be then used to estimate GICx and GICy indices. These data are updated in real-time and can be retrieved from in json format from a web service so that the size of the file (estimated in the DATA DESCRIPTION TAB) actually depends on the query. Queries for a few-days data obtain a rapid reply while for longer queries (say from 1-month upward) obtain slow replies. - - -Data Description ----------------- - -| **Data type**: timeseries - -| **Data formats**: - json - - -| **Version**: ND - -Data Provider ---------------- - -Data are collected by the following instruments: - -- **INGV** - source: - - - Magnetometer - - - -Data Relationships ------------------ - -. - -Data are ND with marked as id: - :ref:`` - -Data Coverage ------------------ -The product cover measurements for the ND messangers. - -Data coverage is listed below: - -| **Spatial** - Earth's Ground - - -| **Temporal** - time_start: 2011-11-05T00:00:00+01:00 - -- time_stop: 2019-06-13T00:00:00+02:00 - - - -| **Spectral** range: ND ND - ND ND - -Product Status ---------------- - -| **Status**: Active - -| **Creation date**: 2022-04-21T18:45:00+02:00 - -| **Last Update**: 2022-04-21T18:45:00+02:00 - -Data Policy --------------- - -This product contains public data. Access to the preliminary data, consisting of one-minute averaged values, is provided for general purposes. Acknowledgement of the INGV Geomagnetism Program in all published documents which make use of our data is requested. . - -Example ------------- - -Example is not yet provided . \ No newline at end of file -- GitLab From e9444a9798225f3412fae521ee2e37041abb7eba Mon Sep 17 00:00:00 2001 From: Valerio Formato Date: Mon, 30 Oct 2023 12:04:41 +0100 Subject: [PATCH 3/3] Fix compilation errors and some of the CRITICAL warnings --- docs/source/aspis.rst | 6 +++--- docs/source/aspis/webapp.rst | 7 +++++-- docs/source/caesar.rst | 20 +++++++++---------- docs/source/products/data/1A_unitov_mag.rst | 9 ++++----- docs/source/products/data/1B_unitov_vel.rst | 8 ++++---- docs/source/products/data/2_unitov_halpha.rst | 10 +++++----- docs/source/products/data/3_unitov_RandD.rst | 12 +++++------ .../products/data/48D_ingv_LMPalert.rst | 10 +++++----- .../products/data/49A_ingv_Swarm_LoL_maps.rst | 10 +++++----- .../products/data/49B_ingv_Swarm_LoL_ts.rst | 12 +++++------ 10 files changed, 52 insertions(+), 52 deletions(-) diff --git a/docs/source/aspis.rst b/docs/source/aspis.rst index 1ac2758..510ae99 100644 --- a/docs/source/aspis.rst +++ b/docs/source/aspis.rst @@ -1,5 +1,6 @@ ASPIS -==== +===== +(ASi sPace weather InfraStructure) The Italian Space Agency has produced a Space Weather (SWE) roadmap **([RD-2])** for a long-term strategy to support the future scientific research of SWE, and the development of a related national scientific data centre @@ -28,7 +29,7 @@ discover, understand, and model the connection between solar phenomena, interpla their impacts on the planets (especially the Earth). ASI-SSDC context ------------- +---------------- The Space Science Data Center of the Italian Space Agency has its roots in the early ’90s with the Data Center of the BeppoSax X-ray astronomy satellite, then evolved into the ASI Science Data Center (ASDC), established in @@ -54,4 +55,3 @@ Interactive Archive (MMIA), the SED (Spectral Energy Distribution) Tool and MATI .. autosummary:: .. toctree:: generated - ASi sPace weather InfraStructure. diff --git a/docs/source/aspis/webapp.rst b/docs/source/aspis/webapp.rst index 8e842eb..164d48d 100644 --- a/docs/source/aspis/webapp.rst +++ b/docs/source/aspis/webapp.rst @@ -1,9 +1,9 @@ Web Application --------- +--------------- Intro -^^^^^^^ +^^^^^ ASPIS webapp aims to provide an easy, user friendly, access to the data contained in the DATABASE. ASPIS webapp will be suited with tools able to easy access and visualize data. Technically, ASPIS @@ -30,11 +30,14 @@ public and will be open to the community: • Access to the Causal-chains • Causal-chain visualization with multiple plots. • Quick citation extraction tools based on visualized data. + Advanced functionalities will be protected and will be accessible only to user identification: + • Save search results • Save data visualization settings • Run internal, server-side, ASPIS models over an identified data-set • (optional) Light computation of model and data comparison + The Access Control List (ACL) will be provided by the ASPIS machines (Fig. 5) Time-based multi-plot visualization diff --git a/docs/source/caesar.rst b/docs/source/caesar.rst index 3e17de7..6fc06fa 100644 --- a/docs/source/caesar.rst +++ b/docs/source/caesar.rst @@ -1,32 +1,29 @@ CAESAR -===== +====== -.. _intro: - -Intro -------------- The Italian Space Agency (ASI) funds the CAESAR_ (Comprehensive spAce wEather Studies for the ASPIS prototype Realization) project. The project, officially started on December 21st and lasting 25 months, responds to a call created by the agreement between ASI and the National Institute of Astrophysics (INAF) aimed at carrying out "Study activities for the scientific community of Space Weather for population of the ASPIS scientific data center ". -.. _description +.. _description: + +What is CAESAR? +--------------- -Description ----------------- **CAESAR** (Comprehensive Space Weather Studies for the ASPIS Prototype Realization) is a project supported by the Italian Space Agency and the National Institute of Astrophysics through the ASI-INAF n.2020-35-HH.0 agreement for the development of the ASPIS prototype of scientific data centre for Space Weather. .. image:: assets/images/CAESAR_logo_fullsize_color.png :height: 220 :alt: Alternative text -Check out the :doc:`CAESAR` section for further information, including the details on :ref:`ASPIS` the project. +Check out the :doc:`caesar` section for further information, including the details on :ref:`ASPIS` the project. To read about the latest news of the project please, visit the website `CAESAR project `_ -.. _project +.. _project: The project ----------------- +----------- The aim of the project is the creation, within the ASI Space Science Data Center, of a scientific center for the collection, processing and distribution of Space Weather data to the Italian scientific community, called ASPIS_ (ASI Space Weather Infrastructure). CAESAR_ will design and build a prototype of ASPIS_ populated with high scientific level data and products. @@ -47,6 +44,7 @@ Prospect... .. _CAESAR: https://caesar.iaps.inaf.it/ +.. _ASPIS: https://www.asi.it diff --git a/docs/source/products/data/1A_unitov_mag.rst b/docs/source/products/data/1A_unitov_mag.rst index 7b7882b..697d804 100644 --- a/docs/source/products/data/1A_unitov_mag.rst +++ b/docs/source/products/data/1A_unitov_mag.rst @@ -1,6 +1,6 @@ -========================================= +================================ TSST Full Disk LoS magnetic maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ TSST Full Disk LoS magnetic maps .. contents:: The tiny table of contents TSST Full Disk LoS magnetic maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. @@ -37,7 +37,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to @@ -169,7 +169,6 @@ Data are ND with - type: related-to - relatedproductid: aspis:///unitov/rd -` Data Coverage ----------------- diff --git a/docs/source/products/data/1B_unitov_vel.rst b/docs/source/products/data/1B_unitov_vel.rst index 5f33a17..f9cf539 100644 --- a/docs/source/products/data/1B_unitov_vel.rst +++ b/docs/source/products/data/1B_unitov_vel.rst @@ -1,6 +1,6 @@ -========================================= +============================ TSST Full Disk Velocity Maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ TSST Full Disk Velocity Maps .. contents:: The tiny table of contents TSST Full Disk Velocity Maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The TSST potassium MOF-based channel operate at 769.9 nm, sounding an atmospheric layer about 300–400 km over the solar photosphere. The TSST acquires simultaneously photospheric LoS velocity and magnetic maps with a maximum cadence of 15 s. @@ -37,7 +37,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to diff --git a/docs/source/products/data/2_unitov_halpha.rst b/docs/source/products/data/2_unitov_halpha.rst index e079628..36863b5 100644 --- a/docs/source/products/data/2_unitov_halpha.rst +++ b/docs/source/products/data/2_unitov_halpha.rst @@ -1,6 +1,6 @@ -========================================= +============================= TSST H-alpha Full Disk Images -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ TSST H-alpha Full Disk Images .. contents:: The tiny table of contents TSST H-alpha Full Disk Images -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Hα channel of the TSST is a Daystar SR-127 QT, an achromatic refractor with 127 mm aperture and a focal length of 2667 mm. The telescope features a narrow band filter with a passband of 0.04 nm centered at the Hα line. The filter is a temperature stabilized etalon in collimated configuration, and it is the same filter used in the GONG network for the Hα channel to monitor the chromospheric transients (Giersch, 2013). The Hα channel is equipped with a focal reducer, acting also as a field curvature corrector, to match the Dalsa Pantera 1M60 pixel scale of the MOF channel (2.6 arcsec/pixel). The main goal of this TSST channel is the real time detection of flaring region (Piazzesi et al., 2012; Pötzi et al., 2015, 2018) during the impulsive and flash phases when the intensity reaches its maximum (Benz, 2017). Hα images are extremely important for ground based SWe monitoring (see, e.g. Veronig & Potzi, 2016) and to automatically detect and track structures in the solar chromosphere, as filaments (Bernasconi et al., 2005; Fuller et al., 2005; Bonnin et al., 2013) and prominences (Wang et al., 2010), that can be associated with flare and coronal mass ejections. @@ -26,7 +26,7 @@ Data Description | **Version**: V1.0 Data Provider ---------------- +------------- Data are collected by the following instruments: @@ -37,7 +37,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to diff --git a/docs/source/products/data/3_unitov_RandD.rst b/docs/source/products/data/3_unitov_RandD.rst index 726a048..2f9828d 100644 --- a/docs/source/products/data/3_unitov_RandD.rst +++ b/docs/source/products/data/3_unitov_RandD.rst @@ -1,6 +1,6 @@ -========================================= +================================ R and D Active Region parameters -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ R and D Active Region parameters .. contents:: The tiny table of contents R and D Active Region parameters -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Parameters for flare-forecasting applications, representing the complexity of a solar active region @@ -26,7 +26,7 @@ Data Description | **Version**: ND Data Provider ---------------- +------------- Data are collected by the following instruments: @@ -37,14 +37,14 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ ND. Data are ND with ND marked as id: ND - :ref:`ND` Data Coverage ------------------ +------------- The product cover measurements for the ND messangers. Data coverage is listed below: diff --git a/docs/source/products/data/48D_ingv_LMPalert.rst b/docs/source/products/data/48D_ingv_LMPalert.rst index ab7df41..d98520a 100644 --- a/docs/source/products/data/48D_ingv_LMPalert.rst +++ b/docs/source/products/data/48D_ingv_LMPalert.rst @@ -1,6 +1,6 @@ -========================================= +========================= Lampedusa GIC level alert -~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ Lampedusa GIC level alert .. contents:: The tiny table of contents Lampedusa GIC level alert -~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~ From both components of GIC index for Lampedusa observatory it is possible to calculate an alert based on a risk scale that associates GIC index to the probability to observe damages to the power network. At present sample files are not available since so far this kind of computation has been performed all within a peculiar software environment (IgorPro), anyway if data were stored in txt files they would be arranged in 3-columns (1-minute data) @@ -27,7 +27,7 @@ Data Description | **Version**: ND Data Provider ---------------- +------------- Data are collected by the following instruments: @@ -38,7 +38,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to diff --git a/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst b/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst index 1c1ae58..f9e8c2c 100644 --- a/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst +++ b/docs/source/products/data/49A_ingv_Swarm_LoL_maps.rst @@ -1,6 +1,6 @@ -========================================= +=================================================================== GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites .. contents:: The tiny table of contents GPS Loss of Lock (LoL) events global maps from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Global maps of GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. @@ -26,7 +26,7 @@ Data Description | **Version**: ND Data Provider ---------------- +------------- Data are collected by the following instruments: @@ -43,7 +43,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to diff --git a/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst b/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst index c8096a3..a869cfc 100644 --- a/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst +++ b/docs/source/products/data/49B_ingv_Swarm_LoL_ts.rst @@ -1,6 +1,6 @@ -========================================= +=================================================================== GPS Loss of Lock (LoL) events time series from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ========================================= @@ -9,7 +9,7 @@ GPS Loss of Lock (LoL) events time series from ESA Swarm satellites .. contents:: The tiny table of contents GPS Loss of Lock (LoL) events time series from ESA Swarm satellites -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ GPS LoL (Loss of Lock) events, as derived by total electron content observations from the Swarm satellites (A, B, and C) at 1Hz rate, from 1 January 2014 to 31 December 2020. @@ -26,7 +26,7 @@ Data Description | **Version**: ND Data Provider ---------------- +------------- Data are collected by the following instruments: @@ -43,7 +43,7 @@ Data are collected by the following instruments: Data Relationships ------------------ +------------------ - type: related-to @@ -82,7 +82,7 @@ Data are ND with - type: related-to ` Data Coverage ------------------ +------------- The product cover measurements for the ND messangers. Data coverage is listed below: -- GitLab