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.
511
datasets available to search
ShareScore release 0.9.0
Dataset results
511 results for “Cassini”
Saturn's magnetospheric proton and electron intensities from Cassini
<p>Differential intensities of 3keV – 40MeV protons and 10eV – 10MeV electrons in Saturn’s magnetosphere and radiation belts at L-shell distances between 1 and 20 Saturn radii from mission-averages of the MIMI/LEMMS, MIMI/CHEMS, and CAPS/ELS instruments on the Cassini spacecraft that was in orbit between 2004 and 2017.</p>
Cassini Magnetometer Data Products Associated With Ring-Saturn Electromagnetic Coupling
<p>This dataset shows the measurements made by the Cassini magnetometer as it traversed ring-connected magnetic field lines during the Cassini Grand Finale orbits. The L-shell mapping of the azimuthal magnetic field component and associated field-aligned currents are provided, and can be used to regenerate the Cassini magnetometer data products in Figure 2 of the manuscript "Current Events at Saturn: Ring-Planet Electromagnetic Coupling" (Agiwal et al., 2024). </p>
Cassini SAR Raw and Ancillary Data Archive
<p>This data archive contains raw Cassini downlinked telemetry and ancillary temperature data for use in reprocessing Cassini SAR data using the Cassini SAR processor.</p> <p>The Cassini SAR processor is now available at<br> https://github.com/nasa-jpl/Cassini_RADAR_Software.<br> <br> To remove artifacts in SAR imagery due to thermal noise and compression error the Cassini SAR processor needs to extract compression coefficients from the raw downlinked data stored in this archive. The data is not human readable and only of use for users of the SAR processing software. In addition to the raw data, ancillary temperature data is also provided. Without the temperature data the radiometric calibration of the SAR images produced by the SAR processor is slightly degraded.<br> <br> The data is arranged by observation. Each observation has a directory whose name is the observation identifier, specified by one or two letters to indicate the name of the target body and a number to indicate which flyby. For example, t108 indicates Titan flyby number 108. The observation directory contains two subdirectories: “raw” which contains the raw data file; and “anc” which contains the three ancillary temperature files E-2503.gph, E-2505.gph, and E-2507.gph.<br> <br> The work reported here was performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. <br> Copyright 2021 All Rights Reserved</p> <p> </p>
List of Saturn magnetopause and bow shock crossings by the Cassini spacecraft
<p>This is an updated list of magnetopause (MP) and bow shock (BS) crossings from Cassini, based on the list presented in Jackman et al. [2019] <a href="https://doi.org/10.1029/2019JA026628">https://doi.org/10.1029/2019JA026628</a>. This uploaded list has the following changes from the list first presented in that paper (and included in that supplementary material):</p> <p> </p> <p>I = inbound</p> <p>O = outbound</p> <p>Amendments to Cassini MP/BS crossing list<br> Changes made 26/01/2021</p> <p>Total #MP crossings: 2118 (some times changed)<br> Total #BS crossings: 1247 (3 pairs added, 1 pair removed, some times changed)</p> <p>Change list below:</p> <p>Change #1:<br> Note the following crossings come from a list on MAPSView which was originally collated based on MAG and CAPS data. <br> MAG data gap spans these dates so crossings are based on other instruments at these times.<br> ELS and SNG data available 2004 181-185 and 195-196 (except 196 13-23 UT).</p> <p>2004 181 02 43 MP I <br> 2004 186 04 42 MP O <br> 2004 186 10 24 MP I <br> 2004 186 17 57 MP O <br> 2004 186 20 17 MP I <br> 2004 188 07 06 MP O <br> 2004 188 08 11 MP I <br> 2004 188 13 14 MP O <br> 2004 188 15 13 MP I <br> 2004 188 19 39 MP O <br> 2004 189 14 05 BS O <br> 2004 189 16 15 BS I <br> 2004 189 21 46 BS O <br> 2004 190 00 30 BS I <br> 2004 190 04 13 BS O <br> 2004 190 10 56 BS I <br> 2004 190 11 54 BS O <br> 2004 190 11 54 DG S_SW <br> 2004 194 05 12 DG E_SH <br> 2004 194 05 12 BS O <br> 2004 196 03 11 BS I <br> 2004 196 06 59 BS O </p> <p>Change #2:<br> Change<br> 2004 348 05 27 MP I <br> to<br> 2004 348 05 00 MP I </p> <p>Change #3:<br> Added some crossings on 2004 day 345<br> 2004 345 11 52 BS I<br> 2004 345 11 58 BS O<br> 2004 345 12 20 BS I<br> 2004 345 12 26 BS O<br> 2004 345 23 06 BS I<br> 2004 345 23 13 BS O</p> <p>Change #4: <br> Changed 2004 day 345 13 24 BS I <br> to<br> 2004 day 345 12 57 BS I</p> <p>Change #5: <br> Remove<br> 2014 322 6 8 BS I <br> 2014 326 1 23 BS O </p> <p>_________________________________________________________________________________________<br> Additional changes made through discussion with Matthew Cheng, August 13th 2021<br> Original list: Master_BS_MP_Crossing_List_04_16_incCMJcorr_published<br> 1st Revised list: Master_BS_MP_Crossing_List_04_16_incCMJcorr_revised<br> 2nd Revised list: Master_BS_MP_Crossing_List_04_16_incCMJcorr_revised_120821</p> <p>Since 1st revised list:<br> Total #MP crossings: 2122 (2 new pairs, some times changed)<br> Total #BS crossings: 1249 (1 new pair, some times changed)</p> <p>Change #6<br> Changed typo<br> 2016 068 12 19 DG E_MP <br> to<br> 2016 068 12 19 DG E_SP </p> <p><br> Change #7<br> Change <br> 2016 242 12 00 MP O <br> To:<br> 2016 242 11 15 MP O </p> <p>Change #8<br> Change <br> 2016 152 16 33 BS O<br> to <br> 2016 152 15 22 BS O</p> <p><br> Change #9<br> Change <br> 2016 153 02 24 BS O <br> to <br> 2016 153 02 08 BS O </p> <p><br> Change #10<br> Change <br> 2016 153 12 00 BS I <br> to<br> 2016 153 11 45 BS I </p> <p>Change #11<br> Add new MP pair<br> 2016 155 11 05 MP O <br> 2016 155 12 52 MP I </p> <p><br> Change #12<br> Change<br> 2011 2 03 14 MP O <br> to<br> 2011 2 01 48 MP O </p> <p><br> Change #13<br> Change:<br> 2012 145 15 11 MP O <br> To<br> 2012 145 14 36 MP O</p> <p>Change #14<br> Changed<br> 2007 33 16 25 MP I <br> to <br> 2007 33 15 25 MP I </p> <p>Change #15<br> Add new MP pair<br> 2005 45 11 55 MP O <br> 2005 45 12 36 MP I </p> <p>Change #16<br> Add new BS pair<br> 2012 277 00 15 BS I <br> 2012 277 01 36 BS O</p> <p>Change #17<br> Add new MP pair<br> 2008 85 14 31 MP I <br> 2008 85 15 38 MP O </p>
Magnetic Field Boundaries in Cassini Plasma Spectrometer Data
<p>This dataset consists of:</p> <ul> <li><em>get_files.sh</em> - a bash script to download ELS data (.DAT and .LBL) files.</li> <li><em>crossing_events_urls.txt</em> - a text file containing URLs for each of the ELS<br> data files. <em>get_files.sh</em> reads this file directly.</li> <li><em>crossing_events.txt</em> - a text file containing the list of crossing events<br> with associated data, obtained by processing Table S1 in [1].</li> <li><em>labels.zip</em> - a zip file containing directory with events for each DAT file,<br> in YAML format.</li> <li><em>plotter.py</em> - a plotting script in Python.</li> <li><em>requirements.txt</em> - a file indicating dependencies for the plotting script.</li> </ul> <p><strong>Data</strong></p> <p>This dataset spans 1259 observations from CAPS ELS, each with a .LBL file and a<br> .DAT file. Together, these take 128 GB of space. To download these files, do:</p> <pre>./get_files.sh</pre> <p>in a Bash shell/terminal. The files are stored in the 'data/' folder (created if<br> not present) in the current directory.</p> <p>ELS data files are obtained from NASA's Planetary Data System at<br> <a href="https://pds-ppi.igpp.ucla.edu/search/view/?f=yes&id=pds://PPI/CO-E_J_S_SW-CAPS-3-CALIBRATED-V1.0/DATA/CALIBRATED">https://pds-ppi.igpp.ucla.edu/search/view/?f=yes&id=pds://PPI/CO-E_J_S_SW-CAPS-3-CALIBRATED-V1.0/DATA/CALIBRATED</a></p> <p>For help in understanding the ELS data files, see the CAPS User Guide at<br> <a href="https://pds-ppi.igpp.ucla.edu/ditdos/download?id=pds://PPI/COCAPS_1SAT/DOCUMENT/CAPS_USER_GUIDE/CAPS_PDS_USER_GUIDE_V1_00.PDF">https://pds-ppi.igpp.ucla.edu/ditdos/download?id=pds://PPI/COCAPS_1SAT/DOCUMENT/CAPS_USER_GUIDE/CAPS_PDS_USER_GUIDE_V1_00.PDF</a>.</p> <p><strong>Labels</strong></p> <p>Unzipping the <em>labels.zip</em> file will create a <em>labels/</em> folder in the current<br> directory, requiring 28MB of space.</p> <p>Within <em>labels/</em>:</p> <ul> <li><em>bs/</em> - includes bow shock crossing events.</li> <li><em>mp/</em> - includes magnetopause crossing events.</li> <li><em>dg/</em> - includes known data-gap events. See [1].</li> <li><em>sc/</em> - includes unreliable data events. See [1].</li> <li><em>valid/</em> - union of all files in <em>bs/</em> and <em>mp/</em>.</li> <li><em>all/</em> - union of all files in <em>bs/</em>, <em>mp/</em>, <em>dg/</em> and <em>sc/</em>.</li> </ul> <p>Within the <em>labels/bs/</em> and <em>labels/mp/</em> folders:</p> <ul> <li><em>in/</em> - crossing events with the transition direction as inward.</li> <li><em>out/</em> - crossing events with the transition direction as outward.</li> <li><em>all/</em> - union of all files in in/ and out/.</li> </ul> <p>Each label file is a YAML file containing a 'change_points' field. The entries<br> under this field each indicate the time of a transition event. The other fields<br> ('bimodality' and 'negative_ions') are not relevant for this dataset.</p> <p><strong>Plotting the Data (and Labels)</strong></p> <p>To help visualize the data and labels, we supply a plotting script<br> <em>plotter.py</em>, in Python (version 2.7). First, install dependencies with:</p> <pre>pip install -r requirements.txt</pre> <p>and then run:</p> <pre>./plotter.py -h</pre> <p>to see the available options. Example usage (after downloading data and<br> unzipping labels):</p> <pre>./plotter.py data/ELS_200418018_V01.DAT -l labels/mp/all/ELS_200418018_V01.yaml --interpolated -f max_filter -fsize 100 --title "An Observation from CAPS ELS" </pre> <p>will open up a new window with a plot of the data.<br> To directly save to a file, use the '-o <em>savefilename</em>' option. For example,</p> <pre>./plotter.py data/ELS_200418018_V01.DAT -l labels/mp/all/ELS_200418018_V01.yaml --interpolated -f max_filter -fsize 100 --title "An Observation from CAPS ELS" -o ELS_200418018_V01.png </pre> <p><strong>References</strong></p> <p>[1] Jackman, C. M., Thomsen, M. F., & Dougherty, M. K. (2019). Survey of<br> Saturn's magnetopause and bow shock positions over the entire Cassini mission:<br> Boundary statistical properties and exploration of associated upstream<br> conditions. Journal of Geophysical Research: Space Physics, 124, 8865– 8883.<br> <a href="https://doi.org/10.1029/2019JA026628">https://doi.org/10.1029/2019JA026628</a></p> <p>The original table of magnetopause and bow shock crossing events can be found at<br> <a href="https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019JA026628&file=jgra55251-sup-0001-Table_SI-S01.txt">https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019JA026628&file=jgra55251-sup-0001-Table_SI-S01.txt</a></p> <p><strong>Grants</strong></p> <ul> <li>NASA Contract through JPL with South West Research Institute. Grant Number: 1243218</li> <li>Science and Technology Facilities Council. Grant Number: ST/L004399/1</li> <li>NASA. Grant Number: 1243218</li> <li>Diamond Jubilee Fellowship</li> <li>STFC. Grant Number: ST/L004399/1</li> </ul>
Cassini Titan flyby
<p>List of Cassini's flyby on Titan extracted from NASA/JPL Cassini RADAR Users Guide.</p>
FIGURE 2 in On the spelling of the name of Cassin's 17-Year Cicada, Magicicada cassini (Fisher 1852) (Hemiptera: Cicadidae)
FIGURE 2. Historical usage of alternative spellings for the species epithet of Magicicada cassini (Fisher, 1852), shown as absolute numbers of senior authors referencing the taxon. Authors that used multiple spellings during a given period are added to the total for every name used.
FIGURE 1 in On the spelling of the name of Cassin's 17-Year Cicada, Magicicada cassini (Fisher 1852) (Hemiptera: Cicadidae)
FIGURE 1. Historical usage of alternative spellings for the species epithet of Magicicada cassini (Fisher, 1852), shown as percentages of senior authors referencing the taxon. Authors that used multiple spellings during a given period are added to the total for every name used.
Data products associated with: Tamburo, Withers, Dalba, Moore, and Koskinen (2023) Cassini radio occultation observations of Saturn's ionosphere: Electron density profiles from 2005 to 2013, Journal of Geophysical Research, doi:10.1029/2023JA031310
<p>These data products are associated with Tamburo, Withers, Dalba, Moore, and Koskinen (2023) Cassini radio occultation observations of Saturn’s ionosphere: Electron density profiles from 2005 to 2013, Journal of Geophysical Research, doi:10.1029/2023JA031310. At the time of writing, this manuscript is under review. In the future, these data products will be submitted for archiving at the NASA Planetary Data System (PDS).</p> <p> </p>
Non-detection of radio emissions from Titan lightning by Cassini RPWS
<p>Supplementary material with list of Titan flybies (Excel table) for publication "Non-detection of radio emissions from Titan lightning by Cassini RPWS" by Fischer et al., submitted to JGR-Planets. Additionally, there is a Matlab file which can be run to produce the figures of this paper (titanflybies.dat needs to be in same directory).</p>
Figure 4 from: Bauni V, Bertonatti C, Giacchino A, Schivo F, Mabragaña E, Roesler I, Rosso JJ, Teta P, Williams JD, Abba AM, Cassini GH, Cousseau MB, Flores DA, Fortunato DM, Giusti ME, Jayat JP, Liotta J, Lucero S, Aguirre TM, Pereira JA, Crisci J (2022) Biodiversity of vertebrates in Argentina: patterns of richness, endemism and conservation status. ZooKeys 1085: 101-127. https://doi.org/10.3897/zookeys.1085.76033
Figure 4 Threatened species by taxonomic group and province A number of threatened species by taxonomic group and total number of total threatened vertebrate species in each province B percentage of threatened species over the number of total native species of each taxonomic group present in the province and total threatened species in each province as a percentage of total vertebrate species.
Figure 1 from: Bauni V, Bertonatti C, Giacchino A, Schivo F, Mabragaña E, Roesler I, Rosso JJ, Teta P, Williams JD, Abba AM, Cassini GH, Cousseau MB, Flores DA, Fortunato DM, Giusti ME, Jayat JP, Liotta J, Lucero S, Aguirre TM, Pereira JA, Crisci J (2022) Biodiversity of vertebrates in Argentina: patterns of richness, endemism and conservation status. ZooKeys 1085: 101-127. https://doi.org/10.3897/zookeys.1085.76033
Figure 1 Political map of Argentina. International and national boundaries, including terrestrial and maritime, are indicated. Each of the 23 provinces and the autonomous city of Buenos Aires are depicted. Source of spatial information: National Geographic Institute (IGN 2021).
Figure 2 from: Bauni V, Bertonatti C, Giacchino A, Schivo F, Mabragaña E, Roesler I, Rosso JJ, Teta P, Williams JD, Abba AM, Cassini GH, Cousseau MB, Flores DA, Fortunato DM, Giusti ME, Jayat JP, Liotta J, Lucero S, Aguirre TM, Pereira JA, Crisci J (2022) Biodiversity of vertebrates in Argentina: patterns of richness, endemism and conservation status. ZooKeys 1085: 101-127. https://doi.org/10.3897/zookeys.1085.76033
Figure 2 Species richness a by taxonomic group by province and b total species richness.
Figure 3 from: Bauni V, Bertonatti C, Giacchino A, Schivo F, Mabragaña E, Roesler I, Rosso JJ, Teta P, Williams JD, Abba AM, Cassini GH, Cousseau MB, Flores DA, Fortunato DM, Giusti ME, Jayat JP, Liotta J, Lucero S, Aguirre TM, Pereira JA, Crisci J (2022) Biodiversity of vertebrates in Argentina: patterns of richness, endemism and conservation status. ZooKeys 1085: 101-127. https://doi.org/10.3897/zookeys.1085.76033
Figure 3 Number of endemics a by group by province b total species by province.
Reduction of Elimination of Mitral Regurgitation With the SATURN TMVR System (CASSINI-US)
ClinicalTrials.gov study NCT07130994. IPD Sharing: NO. Countries: 0. Publications: 0.
Astigmatism Correction With Intrastromal Arcuate Incisions in Eyes Undergoing Cataract Surgery With Femtosecond Laser Using the Cassini Ambient With Iris Registration (ARCUATAS)
ClinicalTrials.gov study NCT05053620. IPD Sharing: NO. Countries: 1. Publications: 0.
Cassini Ephemeris, Heliocentric Trajectories, Heliographic, Heliographic Inertial, and Solar Ecliptic Coordinates, HelioWeb, Daily Data
Heliocentric trajectories for Cassini in Heliographic, HG, Heliographic Inertial, HGI, and Solar Ecliptic, SE, Coordinates The original trajectory data are taken from http://ssd.jpl.nasa.gov/horizons.cgi where users can find many more objects. In the case of orbit data for planets, the orbit data can be used as a proxy for spacecraft ephemeris that are in orbit about the planets. On a heliospheric scale, differences between the planet orbital tarjectory and that of the spacecraft are very small. For instance, the heliocentric longitudes differ by only 0.25° for a spacecraft stationed near the L1 Lagrange point at approximately 100 Earth radii upstream of the Earth. The production of the HG, HGI, and SE trajectory data requires a values for the "Equinox Epoch", which is defined as the epoch time when the direction from the Earth to the sun at the time of the vernal equinox when the sun seems to cross equatorial plane of the Earth from below. This direction is called the First Point of Aries, FPA and it is not a fixed direction but drifts by about 1.4° per century or 50.26" per year. In addition, there are tiny irregularities in FPA drift that are on the order of 1" per year or less. The Equinox Epoch can be determined by using a variety of methods for calculating the instantaneous FPA longitudinal direction and whether the tiny irregularities have been smoothed or averaged out. Four methods for determining the Equinox Epoch are in common usage: +---------------------------------------------------------------------+ Method Name FPA Longitude Definition --------------------------------------------------------------------- B1950.0 the actual FPA at 22:09 UT on December 31, 1949 J2000.0 the smoothed FPA at 12:00 UT on January 1, 2000 True of Date the actual FPA at 00:00 UT on the date of interest Mean of Date the smoothed FPA at 00:00 UT on the date of interest +---------------------------------------------------------------------+ The heliocentric trajectory data included in this data product have been calculated by using the Equinox Epoch: defined via the "Mean of Date" method. More precise coordinates, and some planet-centered coordinates, are found in the "traj" subdirectories of spacecraft specific directories at https://spdf.gsfc.nasa.gov/pub/data/ and http://ssd.jpl.nasa.gov/horizons.cgi.
CASSINI JUP UVIS SOLAR STELLAR BRIGHTNESS TIME SERIES 1.0
Photometric observations of stellar occultations by Saturnian rings, satellites, atmospheres, and Jovian atmosphere.
CASSINI SS/S RPWS CALIBRATED LP CONTINUOUS CURRENT V1.0
The Cassini Radio and Plasma Wave Science (RPWS) Langmuir Probe continuous current data set comprises calibrated probe current measurements acquired up to 20 Hz rate at fixed bias voltage during the entire Cassini mission. These currents can be used to infer high temporal resolution density fluctuations between standard Langmuir Probe sweeps. If related to densities determined during a sweep prior to or following the 20 Hz data, or using other electron density estimates, the relative currents can be assigned absolute densities. Data are presented in text tables and are organized so as to have fixed-length records for ease in data handling.
CASSINI HIGH RATE DETECTOR V12.0
The High Rate Detector (HRD) from the University of Chicago is an independent part of the CDA instrument on the Cassini Orbiter that measures the dust flux and particle mass distribution of dust particles hitting the HRD detectors. This data set includes all data from the HRD through December 31, 2012. Please refer to Srama et al. (2004) for a detailed HRD description.
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.