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.
1,899
datasets available to search
ShareScore release 0.9.0
Dataset results
1,899 results for “Running”
hector-run-archive
<p>Minted outputs of Hector runs produced by the https://github.com/JGCRI/hector-run-archive associated with v3.5.0</p>
Model run and scenario data for study "Bioenergy-induced land-use change emissions with sectorally fragmented policies"
<p>This data archive contains model runs and data analysis files to the research article</p> <p><strong>Bioenergy-induced land-use change emissions with sectorally fragmented policies</strong></p> <p>by <em>Leon Merfort, Nico Bauer, Florian Humpenöder, David Klein, Jessica Strefler, Alexander Popp, Gunnar Luderer, Elmar Kriegler</em></p> <p>published in <em>Nature Climate Change </em>(2023).</p> <p><em><strong>ModelRuns_remind </strong></em>(directory) contains all REMIND model runs of the scenarios underlying the paper.</p> <p><em><strong>ModelRuns_magpie </strong></em>(directory) contains all MAgPIE model runs of the scenarios underlying the paper.</p> <p><em><strong>DataAnalysis </strong></em>(directory) contains an RStudio Project that was used for the data analysis and the generation of the figures of the paper. It additionally contains all figures and figure data that are shown in the paper.</p> <p><em><strong>ScenarioMapping.pdf</strong></em> contains the mapping from scenario names used in the paper to the model experiment names (in the model run directories).</p>
GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run — O3 search sensitivity estimates
<p>This material is part of several data products associated with GWTC-3, the third Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the papers (<a href="https://dcc.ligo.org/LIGO-P2000318/public">dcc.ligo.org/LIGO-P2000318/public</a> and <a href="http://dcc.ligo.org/LIGO-P2100239/public">dcc.ligo.org/LIGO-P2100239/public</a>), the related material linked from this page, and the GWTC-3 data release documentation (<a href="https://www.gw-openscience.org/GWTC-3/">www.gw-openscience.org/GWTC-3/</a>).</p> <p><strong>Observing Run 3 (O3) Search Sensitivity Estimates</strong></p> <p>This document contains HDF injection summary files for search sensitivity estimates spanning the LIGO–Virgo–KAGRA (LVK) Collaborations' third observing run (O3).</p> <p>Details of the individual files can be found in</p> <ul> <li> o3-sensitivity-estimates.md</li> </ul> <p>including descriptions of the injected distributions and the HDF file format adopted.</p> <p>Separate files are provided for the two parts of the run, O3a and O3b, specified by the GPS start times and durations in the filenames, and for the entire O3 run (filename with no times specified).</p> <p>Separate files are also provided for subpopulations that span the Binary Neutron Star (bns), Neutron Star–Black Hole (nsbh), Binary Black Hole (bbh), and Intermediate Mass Black Hole (imbh) mass ranges. The subpopulations are combined into a single file (mixture) containing a mixture model that spans the union of all subpopulation.</p> <p><strong>How to download all files from this page</strong></p> <p>If you would like to download all files on this page, we recommend <a href="https://gitlab.com/dvolgyes/zenodo_get">zenodo_get</a>:</p> <pre><code class="language-bash">pip install zenodo_get zenodo-get RECORD_ID_OR_DOI </code></pre> <p>where the record ID for the most recent version of this page is 5546675 and IDs for other versions can be found in the Versions section at the side of this page.</p> <p> </p> <p>For more general background on gravitational-wave search analyses, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO–Virgo data analysis</a>.</p> <p> </p>
GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run — O1+O2+O3 Search Sensitivity Estimates
<p>This material is part of several data products associated with GWTC-3, the third Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the papers (<a href="https://dcc.ligo.org/LIGO-P2000318/public">dcc.ligo.org/LIGO-P2000318/public</a> and <a href="http://dcc.ligo.org/LIGO-P2100239/public">dcc.ligo.org/LIGO-P2100239/public</a>), the related material linked from this page, and the GWTC-3 data release documentation (<a href="https://www.gw-openscience.org/GWTC-3/">www.gw-openscience.org/GWTC-3/</a>).</p> <p><strong>O1 + O2 + O3 Search Sensitivity Estimates</strong></p> <p>This document contains HDF injection summary files for search sensitivity estimates spanning the LIGO–Virgo–KAGRA (LVK) Collaborations' first (O1), second (O2), and third (O3) observing runs.</p> <p>Details of individual files can be found in</p> <ul> <li> o1+o2+o3-sensitivity-estimates.md</li> </ul> <p>including descriptions of the HDF file format adopted.</p> <p>Separate files are provided for individual subpopulations that span the Binary Neutron Star (bns), Neutron Star–Black Hole (nsbh), Binary Black Hole (bbh), and Intermediate Mass Black Hole (imbh) mass ranges. Additionally, a single file spanning the union of those mass ranges (mixture) is provided.</p> <p>Sensitivity estimates for O1 and O2 are available via semi-analytic methods (estimates of the optimal network signal-to-noise ratio). Sensitivity estimates for O3 are available from real search results. Analysts should specify detection thresholds separately for each type of sensitivity estimate (e.g., a signal-to-noise cut for O1+O2 and a false alarm rate cut for O3).</p> <p><strong>How to download all files from this page</strong></p> <p>If you would like to download all files on this page, we recommend <a href="https://gitlab.com/dvolgyes/zenodo_get">zenodo_get</a>:</p> <pre><code class="language-bash">pip install zenodo_get zenodo-get RECORD_ID_OR_DOI </code></pre> <p>where the record ID for the most recent version of this page is 5636815 and IDs for other versions can be found in the Versions section at the side of this page.</p> <p> </p> <p>For more general background on gravitational-wave search analyses, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO–Virgo data analysis</a>.</p>
Founding, Running, and Improving Scholarly Journals_Questionnaire Raw Data
<p>This is the raw data set of a questionnaire on founding, running, and improving scholarly journals and the availability of educational material for these purposes. The questionnaire was prepared on the SoSci Survey platform and the raw data downloaded from it. The questionnaire had 93 respondents who were nearly all Editors or Scholarly Publishing Professionals working with academic journals. The questionnaire was prepared for the purposes of presenting a poster at the Society for Scholarly Publishing's (SSP) Annual Conference in Portland, Oregon, USA, in May 2023.</p> <p>The Findings of the project are available here: https://zenodo.org/record/7924220#.ZFy_SaXP3cs</p> <p>A Resource Compendium is available here: https://zenodo.org/record/7924268#.ZFy_DaXP3cs</p> <p> </p>
nextGEMS: Output of the WP6 ocean vertical mixing sensitivity runs (timeseries)
<p>In work package 6 of the nextGEMS project, several ocean-only model runs were performed with FESOM (Version 2.0) and ICON-O (Version 2.6.6), to test the sensitivity of the upper tropical Atlantic to different settings of the vertical mixing scheme. Two different mixing schemes were tested: TKE and KPP. For TKE, we tested different settings of the c_k parameter (0.1, 0.2 and 0.3), and for KPP different settings of the critical bulk Richardson number (0.3 and 0.27). These runs were done with both ICON-O and FESOM, to enable a comparison of the effects of the vertical mixing settings across different models. From ICON-O only, there are some additional TKE runs available, where we increased the interior ocean background mixing, and switched on the Langmuir turbulence parameterisation. There is also an ICON-O run which uses the FESOM default forcing bulk formulae, to check how much of the differences between the models originates from their different default bulk formulae.<br> <br> All model runs are ocean only, forced with hourly ERA5 reanalysis data. The horizontal resolution is 10km (for FESOM, the extratropical regions have a coarser grid).</p> <p>Here we provide high-frequency (3 hourly) time series of the model output, at selected locations in the tropical Atlantic where observational data are available for comparison in the simulated time range (2014 and 2015). We provide the following locations here:</p> <ul> <li>0N, 10W</li> <li>0N, 23W</li> <li>11.5N, 23W</li> <li>15N, 38W</li> <li>11N, 21.2W</li> <li>17.6N, 24.3W</li> </ul>
GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run — Parameter estimation data release
<p>This material is part of several data products associated with GWTC-3, the third Gravitational-Wave Transient Catalog from the <a href="https://www.ligo.org/">LIGO</a> Scientific Collaboration, the <a href="https://www.virgo-gw.eu/">Virgo</a> Collaboration, and the <a href="https://gwcenter.icrr.u-tokyo.ac.jp/en/">KAGRA</a> Collaboration. For more information, see the paper (<a href="https://dcc.ligo.org/LIGO-P2000318/public">dcc.ligo.org/LIGO-P2000318/public</a>), the related material linked from this page, and the GWTC-3 data release documentation (<a href="https://www.gw-openscience.org/GWTC-3/">www.gw-openscience.org/GWTC-3/</a>).</p> <p><strong>Parameter estimation data release</strong></p> <p>This data release contains posterior samples (*.h5) for gravitational-wave candidates from the second part of the third observing run (O3b).We provide results for the 35 candidates that have a probability of astrophysical origin of over 0.5, plus <a href="https://doi.org/10.3847/2041-8213/ac082e">GW200105_162426</a>, which is a clear outlier from the noise background. There are two .h5 files per event</p> <ul> <li>Cosmologically reweighted (*cosmo.h5)</li> <li>Not cosmologically reweighted (*nocosmo.h5)</li> </ul> <p>The cosmologically reweighted posteriors are reweighted to have a luminosity-distance prior that has a uniform merger rate in the source's comoving frame. See the <a href="http://dcc.ligo.org/LIGO-P2000318/public">paper</a> appendices for further information. In addition to containing the posterior samples, the .h5 files also contain metadata about the analyses including the configuration files (which specify details such as the detector data analysed), noise power spectral densities (potentially for a superset of the detectors used in the analysis) and calibration uncertainty envelopes.</p> <p>The inference of the source parameters were performed with <a href="https://lscsoft.docs.ligo.org/bilby/">Bilby</a>, <a href="https://lscsoft.docs.ligo.org/parallel_bilby/">Parallel Bilby</a> and <a href="https://git.ligo.org/richard-oshaughnessy/research-projects-RIT/tree/temp-RIT-Tides">RIFT</a>. The results are formatted using <a href="https://lscsoft.docs.ligo.org/pesummary/">PESummary</a>.</p> <p><strong>A note about mixed samples:</strong> The samples provided here are produced using different waveform approximants. The Mixed label indicates that equal numbers of samples have been included from two different waveform approximants. For the binary black holes, these are IMRPhenomXPHM and SEOBNRv4PHM (for more details, see GWTC3p0PEDataReleaseExample.ipynb included in this data release and the paper). As different waveforms were analysed with different codes, there are sometimes differences in some parameters due to conventions in the codes. For example:</p> <ul> <li>As RIFT does not sample over time of coalescence as Bilby does, the RIFT time of coalescence results have a posterior distribution with a single spike, whereas the Bilby results have a distribution of peaks representing different sky positions for the source.</li> <li>There are different conventions for the range of the polarization angle (either 0 to π or 0 to 2 π). The parameter psi_wrapped maps all results to the range 0 to π, should consistency be important.</li> <li>The likelihood may show small differences when different sampling rates were used for Bilby and RIFT. The log-likelihood is expected to have a relative shift between the two runs of a few nats.</li> </ul> <p>Due to these differences, care must be taken when using Mixed samples, which will contain results using both codes' conventions. This should not impact the most interesting quantities, such as the masses, and so should only be rarely an issue.</p> <p>A <a href="https://doi.org/10.5281/zenodo.5117702">similar parameter-estimation release has been made to accompany GWTC-2.1</a> for results from the first part of the third observing run.</p> <p><strong>Sky localization data release</strong></p> <p>The sky localization tar file (IGWN-GWTC3p0-v2-PESkyLocalizations.tar.gz) contains candidate sky localizations corresponding to different parameter estimation configurations (.fits). Two waveforms are used for the majority of targets (IMRPhenomXPHM and SEOBNRv4PHM) and additional waveforms are used for possible neutron star--black hole mergers (see the <a href="https://dcc.ligo.org/LIGO-P2000318/public">paper</a> for further information). If you do not mind which waveform, the sky localizations labelled "Mixed" include posterior samples from both waveforms used. A machine readable list (skyLocalizationFileList.csv) of sky localization files is included within the .tar.gz file for ease of use, where the Mixed results are indicated as Default=True.</p> <p><strong>Contour data release</strong></p> <p>The contour tar file (IGWN-GWTC3p0-v2-PEContours.tar.gz) contains the contour files used to produce Figures 8 and 9 in the <a href="http://dcc.ligo.org/LIGO-P2000318/public">paper</a>. The python notebook (GWTC3p0PEPlotContourData.ipynb) explains how to reproduce these figures (and an interactive version of these plots can be accessed at <a href="https://gwtc3-contours.streamlit.app/">gwtc3-contours.streamlit.app/</a>).</p> <p><strong>Python notebook</strong></p> <p>The Python notebook (GWTC3p0PEDataReleaseExample.ipynb) explains how to read and use the posterior samples with a selection of examples.</p> <p><strong>How to download all files from this page</strong></p> <p>If you would like to download all files on this page, we recommend <a href="https://gitlab.com/dvolgyes/zenodo_get">zenodo_get</a>:</p> <pre><code class="language-bash">pip install zenodo_get zenodo-get RECORD_ID_OR_DOI </code></pre> <p>where the record ID for the most recent version of this page is 5546662 and IDs for other versions can be found in the Versions section at the side of this page.</p> <p> </p> <p>For more general background on gravitational-wave parameter estimation, try the materials from a <a href="https://www.gw-openscience.org/workshops/">GW Open Data Workshop</a> or the <a href="https://doi.org/10.1088/1361-6382/ab685e">guide to LIGO–Virgo data analysis</a>.</p>
Atlantic sand fiddler differences in antimony, running velocity, and behavior, Sapelo Island, Georgia: 2021
Running velocities and behavior assay data of 42 crabs (21 male and 21 female) from Sapelo Island, Georgia. Each crab had three run trials and four for the behavior assay. Crabs were run on a 1m track and behavior assays timed how long it took for crabs to reemerge from burrows. These data were used to determine major influences on crab behavior.
ePSproc: CH3I wavefn test run, orb 30 ioinzation (pi anti-bonding), 1 - 60 eV
CH3I wavefn test run, orb 30 ioinzation (pi anti-bonding), 1 - 60 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb30_E.html">https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb30_E.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: CH3I wavefn test run, orb 29 ioinzation (sigma bonding, A1), 1 - 60 eV
CH3I wavefn test run, orb 29 ioinzation (sigma bonding, A1), 1 - 60 eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb29_A1.html">https://phockett.github.io/ePSdata/CH3I_1-60eV/CH3I_1-60eV_orb29_A1.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: xef2 wavefn run, orb 12 ioinzation (Iodine 3d, A1G/SG), 1-60eV
xef2 wavefn run, orb 12 ioinzation (Iodine 3d, A1G/SG), 1-60eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb12_A1G.html">https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb12_A1G.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: xef2 wavefn run, orb 13 ioinzation (Iodine 3d, E1G/PG), 1-60eV
xef2 wavefn run, orb 13 ioinzation (Iodine 3d, E1G/PG), 1-60eV - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb13_E1G.html">https://phockett.github.io/ePSdata/xef2_1.0-60.1eV/xef2_1.0-60.1eV_orb13_E1G.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
Test data for running snakePipes : scRNA-seq workflow
<p><strong>Test files for running snakePipes workflows</strong></p> <p><strong>snakePipes</strong> are pipelines built using snakemake and python for the analysis of epigenomic datasets. Please refer to <a href="https://snakepipes.readthedocs.io/en/latest/">this link</a> for further information on snakePipes.</p> <p>This folder contains test files that can be used to run scRNA-seq workflow under snakePipes. To test the workflow, follow the following steps : </p> <ul> <li>Download or prepare genome fasta, indices and annotations for mouse (<strong>mm10</strong>) genome.</li> <li>Download and install snakePipes via `conda create -n snakePipes -c mpi-ie -c bioconda -c conda-forge snakePipes`</li> <li>Update <a href="https://snakepipes.readthedocs.io/en/latest/content/running_snakePipes.html#genome-configuration-file">Genome configuration file</a> with path to indices and annotations.</li> <li>Move to this repository and run the example <strong>command.sh</strong></li> </ul>
ePSproc: Ethylene (C2H4), orb 7 (HOMO-1) ionization (B3g), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 7 (HOMO-1) ionization (B3g), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb7_B3g.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb7_B3g.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 3 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb3_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
ePSproc: Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0
Ethylene (C2H4), orb 1 ionization (Ag), wavefn run, 1.0:2.5:100.0 - photoionization calculations with ePolyScat (ePS) + ePSproc.<br><br>*Web version*: <a href="https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html">https://phockett.github.io/ePSdata/C2H4_1.0-100.0eV/C2H4_1.0-100.0eV_orb1_Ag.html</a><br><br>For more details of the calculations, see readme.txt, or: <ul><li><a href="https://phockett.github.io/ePSdata/about.html">About ePSdata</a></li><li><a href="http://epsproc.readthedocs.io/en/latest/about.html">About ePSproc</a></li><li><a href="http://www.chem.tamu.edu/rgroup/lucchese/ePolyScat.E3.manual/manual.html">About ePS</a></li></ul>
Figs 3-6 in The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions
Figs 3-6. Elaphropeza biuncinata (Melander, 1928). 3. head, ♂, lateral view. 4. head, ♂, frontal view. 5. Platypalpus sp. scutum dorsal view. 6. E. biuncinata thorax, lateral view.
Fig. 237 in The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions
Fig. 237. Species accumulation curve: number of species in relation to the number of sampled habitats (x-axis).
Figs 220-224 in The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions
Figs 220-224. Stilpon neesoonensis sp. nov., ♂. 220. head lateral, lateral view. 221. mid leg, anterior view. 222. right epandrial lamella, lateral view. 223. epandrium with cerci, dorsal view. 224. left surstylus and cercus, dorso-lateral view.
Figs 207-209 in The fast-running flies (Diptera, Hybotidae, Tachydromiinae) of Singapore and adjacent regions
Figs 207-209. Stilpon goesi Shamshev & Grootaert, 2006, ♂ terminalia. 207. right surstylus, lateral view. 208. epandrium with cerci, dorsal view. 209. left surstylus, lateral view. Scale bar= 0.1 mm (after Shamshev & Grootaert 2006).
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.