Subject: the-sun / Content Level: University / Validation Level: 2

ID:: ivo://padc.obspm.helio/bass2000/q/epn_core
Title:: BASS2000 Solar Survey Archive
Short Name:: Bass2000
Date:: 07 May 2024 04:32:22
Publisher:: Paris Astronomical Data Centre
Description:: EPNcore table of BASS2000, a Solar survey archive: Images, movies of full Sun from groundbased instruments: Spectroheliographs of Meudon and Coimbra, RadioHeliograph and Decametric Array of Nancay, CLIMSO, USET

ID:: ivo://idoc/medoc/eit_syn/q/epn_core
Title:: EUV-SYN
Short Name:: eit_syn.epn_core
Date:: 16 Nov 2023 13:44:59
Publisher:: IDOC
Description:: *** EUV-SYN *** Synchronous synoptic maps of the corona in the extreme-UV (EUV), built from series of SoHO/EIT observations, in each of the 4 wavelength bands of the instrument. Synchronous synoptic maps are maps of the EUV radiance in different wavelength bands on the full solar sphere, in heliographic (Carrington) longitude and latitude, where data are taken as close as possible to a reference time. They capture the state of the corona at any given reference time by including data taken as close as possible to this time. EUV-SYN is available as part of the generic MEDOC interface which is currently located at https://idoc-medoc.ias.u-psud.fr/. These interfaces are based on the CNES SiTools2 framework. EUV-SYN is also available from IDL and Python scripts, using a specialization of the generic SiTools2 IDL and Python clients developed by MEDOC.

ID:: ivo://padc.obspm.helio/hfc1ar/q/epn_core
Title:: Heliophysics Feature Catalogue: Active regions
Short Name:: HFC1AR
Date:: 07 May 2024 04:30:11
Publisher:: Paris Astronomical Data Centre
Description:: Active regions of the Sun from Heliophysics Feature Catalogue (HFC).

ID:: ivo://idoc/medoc/gaia_dem/q/epn_core
Title:: SDO GAIA-DEM
Short Name:: gaia_dem.epn_cor
Date:: 30 Nov 2023 19:23:40
Publisher:: IDOC
Description:: <b>GAIA-DEM</b><br/> GAIA-DEM is a database of Differential Emission Measure (DEM) maps. The DEM is a measure of the thermal structure of the coronal plasma, representing the quantity of light emitting plasma along the line of sight, at different temperatures. In GAIA-DEM, the DEM is modelled by a specific function of temperature, namely a Gaussian of the logarithm of electron temperature. GAIA-DEM maps are then maps of the DEM maximum temperature, of the DEM integral (total Emission Measure), and DEM width (in temperature). These maps are obtained by inversion from the SDO/AIA EUV images in 6 coronal channels (9.4, 13.1, 17.1, 19.3, 21.1, and 33.5 nm). In addition, maps of the χ² for the inversion are provided.<br/> GAIA-DEM is available from a specific interface at <a href="http://medoc-dem.ias.u-psud.fr/">http://medoc-dem.ias.u-psud.fr</a>, as well as part of the generic MEDOC interface which is currently located at <a href="https://idoc-medoc.ias.u-psud.fr/">https://idoc-medoc.ias.u-psud.fr</a>. These interfaces are based on the CNES SiTools2 framework. GAIA-DEM is also available from IDL and Python scripts, using a specialization of the generic SiTools2 IDL and Python clients developed by MEDOC.

ID:: ivo://ksb-orb.dc/uset_sunspot_drawing/q/epn_core
Title:: USET Drawings
Short Name:: uset_sunspot_dra
Date:: 04 Mar 2024 18:00:10
Publisher:: SIDC: Solar Influences Data analysis Center
Description:: *** USET sunspot drawing *** The Uccle Solar Equatorial Table (USET) facility at the Royal Observatory of Belgium has gathered an uninterrupted series of sunspot drawings since year 1941. This collection continues to be updated when weather permits. This table provides information about these drawings.

ID:: ivo://ksb-orb.dc/uset_sunspot_group/q/epn_core
Title:: USET Groups
Short Name:: uset_sunspot_gro
Date:: 04 Mar 2024 18:00:04
Publisher:: SIDC: Solar Influences Data analysis Center
Description:: *** USET Groups *** Values in the USET sunspot group catalog are derived from the solar drawings obtained by the Uccle Solar Equatorial Table (USET) facility that is located at the Royal Observatory of Belgium. The USET sunspot group catalog covers 82 years of observations in 2021, and is updated every day. A home-made software (DigiSun) written in Python is used to derive quantities such as location and areas from the sunspot drawings.

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