Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “Coronal Mass Ejections”
Identifying Coronal Mass Ejection Active Region Sources: An automated approach - Catalogue results
<p>Catalogue of Coronal Mass Ejection (CME) active region sources. Includes a database version and a simplified .csv version. For full details, refer to the source code at <a href="https://github.com/JulioHC00/cmesrc">https://github.com/JulioHC00/cmesrc</a>. We include a README file for each describing each column.</p> <p>We also include the raw data used to generate the catalogue so that results may be reproduced following the steps detailed in <a href="https://github.com/JulioHC00/cmesrc">https://github.com/JulioHC00/cmesrc</a>. This is a collection of data from other works and we provide it only to allow the results to be reproduced</p> <p>Below, we detail the data sources for the raw_data folders</p> <p>==============================<br><strong>RAW DATA SOURCES</strong><br>==============================</p> <p><strong>DIMMINGS FOLDER</strong></p> <p>Data is from Solar Demon, .csv was provided by Emil Kraaikamp through private communication.</p> <blockquote> <p>Solar Demon – an approach to detecting flares, dimmings, and EUV waves on SDO/AIA images<br>Emil Kraaikamp, Cis Verbeeck<br>J. Space Weather Space Clim. 5 A18 (2015)<br>DOI: 10.1051/swsc/2015019</p> </blockquote> <p><strong>HARPNUM_TO_NOAA FOLDER</strong></p> <p>Obtained from http://jsoc.stanford.edu/doc/data/hmi/harpnum_to_noaa/all_harps_with_noaa_ars.txt</p> <p><strong>LASCO FOLDER</strong></p> <p>This CME catalog is generated and maintained at the CDAW Data Center by NASA and The Catholic University of America in cooperation with the Naval Research Laboratory. SOHO is a project of international cooperation between ESA and NASA.</p> <p>Downloaded from https://cdaw.gsfc.nasa.gov/CME_list/</p> <p><strong>MVTS FOLDER</strong></p> <p>Data from</p> <blockquote> <p>Angryk, R.A., Martens, P.C., Aydin, B. et al. Multivariate time series dataset for space weather data analytics. Sci Data 7, 227 (2020). https://doi.org/10.1038/s41597-020-0548-x</p> </blockquote> <p>Available at the Harvard Dataverse</p> <blockquote> <p>Angryk, Rafal; Martens, Petrus; Aydin, Berkay; Kempton, Dustin; Mahajan, Sushant; Basodi, Sunitha; Ahmadzadeh, Azim; Xumin Cai; Filali Boubrahimi, Soukaina; Hamdi, Shah Muhammad; Schuh, Micheal; Georgoulis, Manolis, 2020, "SWAN-SF", https://doi.org/10.7910/DVN/EBCFKM, Harvard Dataverse, V1</p> </blockquote> <p>The DT_SWAN folder contains the same data but with extra columns obtained directly from the Joint Science Operations Center (JSOC) through the python package drms.</p>
Catalog of Coronal Mass Ejections Observed in Conjunction between Radially Aligned Spacecraft in the Inner Heliosphere
<p>This catalog lists 47 CME events observed in a longitudinal conjunction between MESSENGER, Venus Express, STEREO, and Wind/ACE. We list the onset date and time of the probable CME candidate. If the CME was observed by LASCO onboard the SOHO<br> spacecraft, we report the average CME onset time as calculated in the CDAW catalog (average between first-order-constant speed and second-order-constant acceleration onset times). Otherwise, we report the time of the first STEREO/COR image containing the<br> CME. We then list the arrival times of the shock/discontinuity, magnetic ejecta leading edge and trailing edge at spacecraft 1 and 2. Arrival times at MESSENGER are listed from Winslow et al. (2015, 2017), Venus Express from Good and Forsyth (2016), STEREO from Jian, Russell, Luhmann, and Galvin (2018), and L1 from Richardson and Cane (2010). We also list the heliocentric distances of the spacecraft at the CME onset time, the longitudinal separation between the spacecraft when the discontinuity/ejecta arrives<br> at spacecraft 1, and the maximum magnetic field strength observed in the CME (including both the sheath and the ejecta) at each spacecraft. The maximum magnetic field strength measured in the CME at MESSENGER are listed from Winslow et al. (2015, 2017), the maximum magnetic field strength measured in the ejecta at Venus Express are listed from Good and Forsyth (2016). The longitudinal separations are in Heliographic Inertial (HGI) coordinates. We also list the initial CME speed. For the speed, we select the coronagraph which observed the CME closest to a limb event. Limb views signicantly minimize projection effects as compared to halo views and provide a better estimate of CME speeds. When LASCO observed the CME as a limb event, we report the second-order CME speed at 20 Rs (solar radius) listed in the CDAW catalog. For STEREO observations, we report the maximum<br> speed as listed in the CACTus catalog. We also list the average impact speeds at spacecraft 1 from the DBM (Vrsnak et al., 2013) and either the average impact speeds (when spacecraft 2 is Venus Express) or the maximum CME speed (when spacecraft 2 is<br> STEREO/Wind/ACE) measured at spacecraft 2. The maximum CME speeds measured at STEREO are listed from Jian et al. (2018) and at L1 listed from Richardson and Cane. (2010). We list the average transit speeds as well between the Sun and spacecraft 1,<br> spacecraft 1 and spacecraft 2, and the Sun and spacecraft 2.</p>
Simulations of Coronal Mass Ejections on the star ε Eridani
<p>These files include simulated Titov- Démoulin CME events on the star epsilon Eridani due to be published in Ó Fionnagáin et al. (2021).</p> <p>These simulations are conducted using the BATS-R-US AWSOM model, defined by van der Holst et al. (2014) and Gombosi et al. (2018). Provided in this dataset are the CME events at the 10 minute post-eruption mark.</p> <p>The datasets are provided in binary format (.plt), readable by the Tecplot software. The columns included in this data are given below and consist of position [x,y,z], velocity [x,y,z], magnetic field [x,y,z], Alfvén wave energy densities, Pressure [electron, ion_parallel, ion_perpendicular, current [x, y, z].</p> <p>variables = X [R], Y [R], Z [R], rho [g/cm^3], U_x [km/s], U_y [km/s], U_z [km/s], B_x [Gauss], B_y [Gauss], B_z [Gauss], Ehot [erg/cm^3], I01 [erg/cm^3], I02 [erg/cm^3], Pe [dyne/cm^2], P_par [dyne/cm^2], P_perp [dyne/cm^2], P [dyne/cm^2], J_x [`mA/m^2], J_y [`mA/m^2], J_z [`mA/m^2]</p> <p>Providing the entire dataset was unfeasible due to the large size of the data. However, the entire dataset can be made available upon reasonable request from the authors.</p> <p>This research was funded by the Irish Research Council (IRC).</p>
Nowcast of Aerospace Ionizing Radiation System (NAIRAS) simulation of the effect of the 2024-05-11 coronal mass ejection and solar particle event on Earth's atmosphere
<p>The effect of the CME on the cutoff rigidity and the dose at different altitude as computed by NAIRAS.</p> <p>The neutron monitor data from OULU and the DSCOVR data for solar wind density and speed are put as a reference for when the Forbush decrease happens and when the CME arrives.</p> <p> </p> <p>The version 2 added files with shorter lead time before the CME arrival and bigger labels</p>
A case study on the impact of interplanetary coronal mass ejection on the Martian O(1S) 557.7 nm dayglow emission using ExoMars TGO/NOMAD-UVIS observations: First Results
<p>This study presents the impact of interplanetary coronal mass ejection (ICME) on the O(1S) 557.7 nm dayglow emission in the Martian atmosphere using instruments onboard ExoMars-TGO and MAVEN spacecrafts.</p>
Effects of Energetic Electron and Proton Precipitations on Thermospheric Nitric Oxide Cooling during shock-led Interplanetary Coronal Mass Ejections
<p>Satellite measurements have revealed significant enhancement of 5.3-µm nitric oxide (NO) emission during shock-led interplanetary coronal mass ejections (ICMEs). Great discrepancies in modeled neutral density occur during these events, and may be attributed to the abnormally high NO cooling. Meanwhile, the relative significance of protons, soft electrons, and keV-electrons to NO emission is yet to be well determined. The goal of this study is to identify the contribution of electron and proton precipitations to the thermospheric NO cooling by using the Defense Meteorological Satellite Program (DMSP) data. The observed energetic electrons and protons (0.1–30.2 keV) during 36 shock-led ICME events in 2002–2010 are binned into geomagnetic grids to provide statistical distributions of the particle precipitation for polar regions. The distributions are incorporated into the Global Ionosphere-Thermosphere Model. The results show that electrons play a dominant role to NO cooling, but protons are also important and contribute to up to a quarter of NO cooling by electrons and ions combined. NO cooling enhancement during the events is proportional to the level of energy flux and is dominated by the electrons in the energy band of 1.4–3.1 keV. Both total electron content (TEC) and NO cooling enhance at the source regions, but they have different lifetime and correlation with the particle precipitations. Generally, NO cooling and TEC enhancements have a positive correlation with the precipitating energy. Cross correlation shows that particle precipitations have more direct and instantaneous impact on TEC while it takes longer for the atmosphere to heat up for cooling to proceed.</p>
Supplementary Material in "How Does Magnetic Reconnection Drive the Early-stage Evolution of Coronal Mass Ejections?"
<p>All the kinematic profiles of the 60 CME-flare events mentioned in the study of Zhu <em>et al</em> 2020 <em>ApJ</em> <strong>893</strong> 141.</p>
Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection: Model Data
<p>This is the model output data discussed in the article, "Numerical simulations of the geospace response to a perfect interplanetary coronal mass ejection." See README.txt for information on dataset contents, formats, and suggested software libraries.</p> <p> </p>
Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere
<p>Data for the Space Weather paper titled "Application of a Modified Spheromak Model to Simulations of Coronal Mass Ejection in the Inner Heliosphere"</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.