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.
2,555
datasets available to search
ShareScore release 0.7.1
Dataset results
2,555 results for “catalogs”
Lake Pertusillo reservoir induced seismicity catalog (Southern Italy)
<p>We present a detailed analysis of the small magnitude (M<sub>L</sub><3) Reservoir Induced Seismicity associated with the Pertusillo water reservoir located in the high seismic hazard zone of Val d’Agri (Southern Italy). </p> <p>We apply template-matching detection to a 13-month-long dense passive survey, obtaining a final high-precision double-difference catalog of 5,068 earthquakes (-0.7<M<sub>L</sub><2.6, M<sub>C</sub>=0.2). </p> <p>The original <em>template</em> dataset is composed of 408 hand-picked earthquakes, recorded during a 13-month-long (2005-2006) passive survey, at a dense network of 46 seismic stations (the average receiver spacing is 5 km) composed by: 22 temporary 3C continuously-recording stations of the temporary experiment described in <em>Valoroso et al.</em>, [2009], plus 24 permanent INGV and ENI (the local oil company) stations, and accurately located in a 3D high-resolution V<sub>P</sub> and V<sub>P</sub>/V<sub>S</sub> velocity model [<em>Improta et al.</em>, 2017]. </p> <p>The attached file is a plain text with a space as separator. </p> <p>Here below the header is explained.</p> <p><strong>ID: </strong>the unique event identifier</p> <p><strong>LAT</strong>: hypocenter latitude expressed in degrees </p> <p><strong>LONG</strong>: hypocenter longitude east of Greenwich, expressed in degrees</p> <p><strong>DEPTH</strong>: hypocenter depth expressed in km </p> <p><strong>OTIME: </strong>date of the origin time in the format YYYY-MM-DD[T]hh:mm:ss.msec</p> <p><strong>ML</strong>: magnitude (pure number)</p> <p> </p>
Homogenized catalog of Black Sea earthquakes from 1905 to 2022 up to 40 km depth
<p>The data homogenized catalog of 54,647 earthquakes from 1905 to 2022 for the Black Sea region up to 40 km depth is published in CSV format.</p> <p>More details in the paper: Oynakov et al., 2023, Compilation of regional homogeneous seismic catalog for identification of tsunamigenic zones in the Black Sea region, <em>Geosciences</em>.</p>
Seismicity catalog of hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia
<p>Seismicity catalog of 8,731 hydraulic-fracturing-induced earthquakes in the Kiskatinaw area, northeast British Columbia between 1 July 2017 to 31 Dec 2020. The Study area covers the Kiskatinaw area, wich extends over parts of the Montney Formation, a major shale gas play within the Western Canada Sedimentary Basin. Catalog corresponds to:</p> <p>Roth, M. P., A. Verdecchia, R. M. Harrington, and Y. Liu (2020). High-Resolution Imaging of Hydraulic-Fracturing-Induced Earthquake Clusters in the Dawson-Septimus Area, Northeast British Columbia, Canada, Seismol. Res. Lett. 91, 2744–2756, doi: 10.1785/0220200086.</p>
Polar atmospheric and aerosol river detection catalogs
<p>These detection catalogs of atmospheric and aerosol rivers were created for the publication <em>Lapere et al., "Polar aerosol atmospheric rivers: detection, characteristics and potential applications", Journal of Geophysical Research, Submitted</em>. The associated methodology is described in this publication.</p> <p>They provide binary detection of Atmospheric river (AR), Black carbon aerosol atmospheric river (BC_AER), Dust aerosol atmospheric river (DU_AER), Sea salt aerosol atmospheric river (SS_AER) and Organic carbon aerosol atmospheric river (OC_AER), in NetCDF format, for the period 1980-2022, with a 3-hour time resolution and 1x1° spatial resolution, for the regions 30°-90°N (indicated by the suffix "NH") and 30°-90°S (indicated by the suffix "SH").</p> <p>The code for pre-processing raw MERRA2 data, along with the detection algorithm are also provided here as Python Jupyter notebooks.</p>
NLL-SSST-coherence high-precision earthquake location catalog for the 2023 Ojai, California earthquake sequence
<p><strong>Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25).</strong></p> <p>NLL-SSST-coherence (<a href="https://doi.org/10.1029/2021JB023190">Lomax and Savvaidis, 2022</a>; <a href="https://doi.org/10.26443/seismica.v2i1.324">Lomax and Henry, 2023</a>) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision.</p> <p>Relocations performed with phase arrival data available from <a href="http://service.scedc.caltech.edu">http://service.scedc.caltech.edu</a></p> <p>Visualizations include topography from <a href="https://opentopography.org">https://opentopography.org</a> and surface fault traces from <a href="https://usgs.maps.arcgis.com/apps/webappviewer/index.html?id=5a6038b3a1684561a9b0aadf88412fcf">https://usgs.maps.arcgis.com</a></p> <p> </p> <p>This repository contains:</p> <p><strong>Full catalog in CSV format</strong>:<br> CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a></p> <p><strong>Full catalog in NonLinLoc hyp format</strong>:<br> NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a></p> <p><strong>Key NLL-SSST-coherence configuration files</strong>: NLL-SSST-coherence_config/*</p> <p><strong>Selected Visualization images</strong></p> <p> </p>
Tables for: The Panchromatic Hubble Andromeda Treasury XXI. The Legacy Resolved Stellar Photometry Catalog
<p>This deposit contains the full machine-readable tables for the accepted version of the manuscript, "<em>The Panchromatic Hubble Andromeda Treasury XXI. The Legacy Resolved Stellar Photometry Catalog</em>", submitted and accepted to the Astrophysical Journal Supplments. </p> <p>The specific files included in this deposit are the full version of Tables 1-3 in this manuscript:</p> <ul> <li>Table 1: Simplified table of PHAT photometry for easy use;</li> <li>Table 2: Simplified table of artificial star test results for easy use;</li> <li>Table 3: Summary of artificial star statistics as a function of brightness and stellar density.</li> </ul> <p>The *.txt files are formatted according to the machine-readable standards adopted by the AAS Journals and CDS/Vizier. Documentation of this format can be found at these links:</p> <ul> <li><a href="https://journals.aas.org/mrt-overview/">AAS Journals MRT overview</a></li> <li><a href="http://vizier.u-strasbg.fr/doc/catstd.htx">CDS/Vizier standards</a></li> </ul> <p>These files can be read in python using the astropy package or with the most recent version of <a href="https://www.star.bris.ac.uk/~mbt/topcat/">TOPCAT</a> (> Version 4.8). An example script for reading these files in astropy is given here:</p> <pre><code class="language-python"> from astropy.table import Table data = Table.read("datafile3.txt", format="ascii.cds") </code></pre> <p>In addition, a headerless, compressed TeX (&-delimited; "full_table.tex.xz") version of Table 1, and a header-only, dataless version of Table 1 ("datafile1_headeronly.txt") are provided to give users additional tools for dealing with this large dataset. </p> <p>The compression routine was applied using xz <https://tukaani.org/xz/> with the encodings</p> <ul> <li> <p><code>xz -z -7 -T 0 full_table.tex</code></p> </li> <li> <p><code>xz -z -9 -T 0 datafile1.txt</code></p> </li> </ul> <p>The Table 1 files on Zenodo were then split into smaller chunks to upload them to Zenodo using the GNU <a href="https://www.gnu.org/software/coreutils/manual/html_node/split-invocation.html"><code>split</code></a> routine. The full files can be recovered by recombining them before decompressing them. The list of related commands and the expected md5 hexidecimal checksums are given here:</p> <ul> <li> <p><code>split --bytes=512M ../full_table.tex.xz full_table.tex.xz.</code></p> </li> <li> <p><code>split --bytes=512M ../datafile1.txt.xz datafile1.txt.xz.</code></p> </li> <li> <p><code>cat full_table.tex.xz.a* > full_table.tex.xz</code></p> </li> <li> <p><code>cat datafile1.txt.xz.a* > datafile1.txt.xz</code></p> </li> <li> <p><code>MD5 (full_table.tex.xz) = 7f9195210bec61c08d04926ada4a021a</code></p> </li> <li> <p><code>MD5 (datafile1.txt.xz) = 63205fe1051e97f4e04380dd23469893</code></p> </li> </ul> <p>Finally, those interested in generating their own cuts from the DOLPHOT quality parameters can access the full photometry tables, available at MAST as a High Level Science Product via <a href="https://doi.org/10.17909/T91S30">doi.org/10.17909/T91S30</a></p>
Repeat catalogs for TRGT
<p>This dataset contains various repeat catalogs for the <a href="https://github.com/pacificBiosciences/trgt/">Tandem Repeat Genotyping Tool</a> (TRGT):</p> <ul> <li>pathogenic_repeats.hg38.bed contains annotations of 56 known pathogenic repeats.</li> <li>polymorphic_repeats.hg38.bed contains 171,146 polymorphic repeats. The <a href="https://github.com/illumina/repeatcatalogs">original version of this catalog</a> was made for short reads and is distributed under CC BY-SA 4.0 license.</li> <li>adotto_repeats.hg38.bed contains 937,122 repeats originally released by the Genome in a Bottle tandem repeat benchmarking project <a href="https://doi.org/10.5281/zenodo.7226352">10.5281/zenodo.7226352</a>.</li> <li>adotto_hprc.tdb.tar is a TRGTdb file containing alleles of repeats from the adotto_repeats.hg38.bed catalog across 100 HPRC samples.</li> </ul> <p>Please consider citing <a href="https://www.biorxiv.org/content/10.1101/2023.05.12.540470v1.abstract">TRGT preprint</a> if you are using these data.</p> <p> </p> <p> </p>
The APO-K2 Catalog. I. ~7,500 Red Giants with Fundamental Stellar Parameters from APOGEE DR17 Spectroscopy and K2-GAP Asteroseismology
<p><strong>Abstract: </strong>We present a catalog of fundamental stellar properties for ~7,500 evolved stars, including stellar radii and masses, determined from the combination of spectroscopic observations from the Apache Point Observatory Galactic Evolution Experiment (APOGEE), part of the Sloan Digital Sky Survey IV (SDSS), and asteroseismology from K2. The resulting APO-K2 catalog provides spectroscopically derived temperatures and metallicities, asteroseismic global parameters, evolutionary states, and asteroseismically-derived masses and radii. Additionally, we include kinematic information from <em>Gaia</em>. We investigate the multi-dimensional space of abundance, stellar mass, and velocity with an eye toward applications in Galactic archaeology. The APO-K2 sample has a large population of low metallicity stars (~288 at [M/H] ≤ -1), and their asteroseismic masses are larger than astrophysical estimates. We argue that this may reflect offsets in the adopted fundamental temperature scale for metal-poor stars rather than metallicity-dependent issues with interpreting asteroseismic data. We characterize the kinematic properties of the population as a function of α-enhancement and position in the disk and identify those stars in the sample that are candidate components of the <em>Gaia-Enceladus</em> merger. Importantly, we characterize the selection function for the APO-K2 sample as a function of metallicity, radius, mass, νmax, color, and magnitude referencing Galactic simulations and target selection criteria to enable robust statistical inferences with the catalog.</p> <p><strong>Included Files:</strong></p> <ul> <li>The publicly available APO-K2 catalog, the is provided in the publication.</li> <li>The APO-K2 catalog without truncation to any numbers. </li> <li>The selection function relative density tables for the mass-radius parameter space. </li> <li>The selection function relative density tables for the metallicity-mass parameter space. </li> <li>The selection function relative density tables for the magnitude-color parameter space. </li> <li>The selection function relative density tables for the ν<sub>max</sub>-mag parameter space. </li> </ul>
Ridgecrest, CA 2009-2019 microseismicity catalog
<p>Catalog of microseismicity between 2009-01-01 and 2019-07-04 in the Ridgecrest, California area (latitudes: 35.50 -- 36.00, longitudes: -117.80 -- -117.30). This catalog captures 10 years of seismic activity before the July 2019 Ridgecrest sequence, which started with a M6.4 on 2019-07-04 and was followed by a M7.1 on 2019-07-06.</p> <ul> <li><strong>v1.0.0</strong>: Earthquake catalog from "Enhanced Tidal Sensitivity of Seismicity Before the 2019 Magnitude 7.1 Ridgecrest, California Earthquake" (in press at Geophysical Research Letters). The catalog contains 191,569 events and was built with the BPMF workflow (v2.0.0alpha, <a href="https://github.com/ebeauce/Seismic_BPMF">https://github.com/ebeauce/Seismic_BPMF</a>). v1.0.0 is available at <a href="https://doi.org/10.5281/zenodo.8127880">https://doi.org/10.5281/zenodo.8127880</a>.</li> <li><strong>v2.0.0</strong>: Minorly updated catalog accompanying "BPMF: A BackProjection and Matched-Filtering Workflow for Automated Earthquake Detection and Location" (submitted to Seismological Research Letters). The catalog contains 183,269 events, slightly revised locations and magnitudes with respect to v1, and was built with the BPMF workflow (v2.0.0beta, <a href="https://github.com/ebeauce/Seismic_BPMF">https://github.com/ebeauce/Seismic_BPMF</a>).</li> <li><strong>v2.0.1</strong>: Removal of some regional (particularly at the edges of the study region) and teleseismic events and slightly updated event magnitudes. 155,794 events.</li> </ul> <p>The catalog is a table with 11 columns:</p> <ul> <li>event_id: a unique event identifier,</li> <li>origin_time: origin time, UTC, of the event,</li> <li>longitude: longitude in decimal system,</li> <li>latitude: latitude in decimal system,</li> <li>depth: depth in km,</li> <li>hmax_unc: maximum horizontal uncertainty in km (from uncertainty covariance ellipsoid),</li> <li>hmin_unc: minimum horizontal uncertainty in km (from uncertainty covariance ellipsoid),</li> <li>az_hmax_unc: azimuth (angle from north) of maximum horizontal uncertainty in degrees,</li> <li>vmax_unc: maximum vertical horizontal uncertainty in km (from uncertainty covariance ellipsoid),</li> <li>Mw: moment magnitude, !! this column is mostly empty since most events were not well enough recorded to estimate a moment magnitude !!</li> <li>Ml: local magnitude.</li> </ul>
Orphanet catalog FAIR Data Point
<pre>This is POC FAIR Data Point to describe biobank and patient registry. The content of this FAIR Data Point is extracted via EJPRD LDP</pre>
Results of semantic queries for "carbon cycling" for datasets in the DataONE catalog
DataONE (https://www.dataone.org) is a federation of institutions involved with the earth and environmental sciences that share data through common cyberinfrastructure. In 2016, the DataONE project carried out a quantification of the utility of semantic query, by measuring the precision and recall of relevant datasets available through that catalog. Precision is defined as the proportion of relevant data in the retrieved results, and recall is the proportion of relevant data retrieved, compared to all relevant data present in the repository (see Methods). This dataset contains the queries and results of that study. Four data tables are included. First, a table of the 10 queries, which were formatted in several ways, including natural language and text strings (for plain text searches of various parts of metadata), and URIs for measurements in the EcoSystem Ontology (ECSO). A second table contains 994 relevant datasets in the DataONE catalog, with a column for each of the ten queries and boolean value indicating whether the dataset is a match for that query. Two query results tables are included, for the raw and summarized results of the query tests. A fifth entity contains the zipped code (R language) used to perform the queries in the DataONE system. When run against approximately 1000 datasets (in October, 2016), results for the ten queries ranged from 0-50% (precision) and 0-100% (recall), indicating that traditional searches may sometimes be adequate to return all relevant data in a corpus, but results can be erratic and inconsistent, with potentially large returns of irrelevant data in the result set. When querying through semantic classes, precision and recall were much higher and more consistent (90-100% and 75-100%, respectively).
Catalog of NCBI sequence read archive (SRA) data for salamanders at the Hubbard Brook Experimental Forest 2012-2021
This project was designed to describe fine-scale population genetic differentiation of the stream salamander Gryinophilus porphyriticus among five study streams in the Hubbard Brook Experimental Forest. The data are paired with intensive capture-recapture data to assess direct fitness effects of individual genetic diversity, including effects of individual multilocus heterozygosity on stage-specific survival probabilities. This dataset publishes a manifest of the genomic sequence reads submitted to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA). These samples are published at NCBI under the BioProject ID 1090913 (https://www.ncbi.nlm.nih.gov/bioproject/1090913). The tables here include sample metadata and the NCBI URLs to each sample. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
EcoTrends-Socioeconomic Catalog data for the VCR/LTER Airshed 1820-2000
The "data" sheet contains the county x variable matrix, while the "metadata" sheet contains the variable definitions and sources. For a complete description of sources and the content of variables you should consult the Data Dictionary on the EcoTrends-Socioeconomic Catalog (http://coweeta.ecology.uga.edu/trends/catalog_trends_base2.php) since the data collection procedure and sources used where the same. Nichole Rosamilia compiled all the data for the airshed as well as EcoTrends in case you have any particular questions that are not addressed in the data catalog or below. A few points to note on the attached data: 1) '-9999' indicates a null value - prior to a given county coming into existence there is no data so it is recorded as null; periodically, and typically for no recorded reason, no data will be recorded or available for a given county so again it is recorded as null. 2) the units of measure on certain variables, e.g., CWAGE (commercial establishments), changes over time from dollars, to thousands of dollars, to millions of dollars. Nichole left the data as it appears in the original rather than modify it on entry. For the on-line version we run the data through a script to standardize the units of measure, but that happens later in our data processing. The approximate airshed for the VCR/LTER was based on translation (of the oxidized nitrogen airshed for Shenandoah National Park created by R. Dennis of the Atmospheric Sciences Modeling Division of ARL, NOAA and NERL USEPA). The original Shenandoah National Park airshed was digitized from a printed copy, then the centroid of the airshed polygon was moved to from the park to the Virginia Coast Reserve. This was then intersected with ESRI counties data to generate the list of needed counties. A copy of the shapefile and a PDF is included in the "vcrairshed.zip" file in the data directory.
Cataloging Dependency Injection Anti-Patterns in Software Systems
<p><strong>Background</strong> Dependency Injection (DI) is a commonly applied mechanism to decouple classes from their dependencies in order to provide better modularization of software. In the context of Java, the availability of a DI specification and popular frameworks, such as Spring, facilitate DI usage in software projects. However, bad DI implementation practices can have negative consequences, such as increasing coupling, hindering the achievement of DI's main goal. Even though the literature suggests the existence of DI anti-patterns, there is no detailed documentation of such bad practices. Moreover, there is no evidence on their occurrence and perceived usefulness from the developer's point of view. </p> <p><strong>Aims</strong> Our goal is to review the reported DI anti-patterns in order to analyze their completeness and to propose and evaluate a novel catalog of Java DI anti-patterns. </p> <p><strong>Method</strong> We propose a catalog containing twelve Java DI anti-patterns. We selected four open-source and two closed-source software projects that adopt a DI framework and developed a tool to statically analyze the occurrence of the candidate DI anti-patterns within their source code. Also, we conducted a survey through face to face interviews with three experienced developers that regularly apply DI. We extended the survey in order to gather the perception of a set of fifteen expert and novice developers through an online questionnaire. </p> <p><strong>Results</strong> At least nine different DI anti-patterns appeared frequently in the analyzed projects. In addition, the feedback received from the developers confirmed the relevance of the catalog. Besides, the respondents expressed their willingness to refactor instances of anti-patterns from source code.</p> <p><strong>Conclusions</strong> The catalog contains Java DI anti-patterns that occur in practice and are useful. Sharing it with practitioners may help them to avoid such anti-patterns.</p>
Station catalog in "Real-time earthquake location based on the Kalman filter formulation"
<p>Station catalog used to locate earthquakes in Parkfield, California, in the manuscript entitled "Real-time earthquake location based on the Kalman filter formulation" submitted to Geophysical Research Letters</p>
Waveforms, relocated earthquake and matched filter catalog of seismic swarm preceding the 2017 Mount Agung eruption
<p>Datasets for the manuscript:</p> <p>Sianipar, D., Ulfiana, E., and Sipayung, R. (2020), Seismic swarm preceding the 2017 Mount Agung eruption in Bali (Indonesia) enhanced by the matched filter approach (submitted) (preprint is available at EarthArxiv: <a href="https://eartharxiv.org/a7yx2/">https://eartharxiv.org/a7yx2/</a>)</p> <p>by Dimas Sianipar, Emi Ulfiana, and Renhard Sipayung (STMKG, BMKG, Indonesia).</p> <p>Files including:</p> <p>1) List of continuous waveforms</p> <p>2) HypoDD files: dt.cc, dt.ct, event.dat, hypoDD.reloc, phase.dat</p> <p>3) Processed (filtered) 407 template waveforms</p> <p>4) BMKG catalog</p> <p>5) MFT catalog in ZMAP format</p> <p>6) Table S1: template candidates</p> <p>7) Table S2: MFT catalog</p> <p>The compressed file (*.rar) has been successfully extracted in Ms. Windows OS using WinRAR.</p>
KaKiOS-16: a probabilistic, non-linear, absolute location catalog of the 1981-2011 Southern California seismicity
<p>This is the KaKiOS-16 earthquake catalog for southern California. We locate the southern California seismicity using the state-of-the-art probabilistic and nonlinear method NonLinLoc. We use only the P wavepicks to avoid introducing the velocity-model and picking-time errors of the S phase, which is harder to detect and thus less constrained. Using a subset of the best locatable earthquakes, we conduct a joint inversion using the VELEST software to obtain a minimum 1D velocity model and station corrections. We use the NonLinLoc method with this 1D velocity model and the inferred model uncertainties to obtain realistic location distributions for each event.<br> </p>
FIGURE 9 – 10. 9 in New fossil lace bugs (Heteroptera: Tingidae) from the Middle Eocene of the Grube Messel (Germany), with a catalog of fossil lace bugs
FIGURE 9 – 10. 9, Dorsal habitus of holotype of Chorotingiotes prisca (SMF MeI 7690); 10, Detail of areolate hemelytra of C. prisca (SMF MeI 7690).
FIGURE 3 – 6. 3 in New fossil lace bugs (Heteroptera: Tingidae) from the Middle Eocene of the Grube Messel (Germany), with a catalog of fossil lace bugs
FIGURE 3 – 6. 3, Dorsal habitus of holotype of Exmesselensis disspinosus (SMF MeI 6301); 4, Detail of areolate hemelytra of E. disspinosus (SMF MeI 6301); 5, Lateral habitus of paratype (SMF MeI 6958); 6, Detail of head and antennae structures (SMF MeI 6958).
FIGURES 1 – 3 in Retrocitomyia Lopes, 1982 (Diptera: Sarcophagidae): new species, new records, key to males, and an updated catalog
FIGURES 1 – 3. Retrocitomyia sisbiota sp. nov. 1. Male habitus (paratype, MNRJ), lateral view. 2. Male terminalia (paratype, MNRJ), lateral view. 3. Female terminalia (paratype, MZSP), ventral view. Scale bars = 1 mm.
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.