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1,582 results for “manuscript”

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zenodo40/100

Reference data from the Pathomove simulation, for the manuscript "Novel pathogen introduction triggers rapid evolution in animal social movement strategies"

<p>This is a reference dataset of multiple runs of the &#39;Pathomove&#39; simulation, to accompany the manuscript &quot;Novel pathogen introduction rapidly alters the evolution of movement, restructuring animal societies&quot;. The datasets are in the form of R data objects saved as Rds files.</p> <p>This version of the data is intended to accompany a resubmission to <em>eLife</em>.</p>

openmit-licenseMar 2022View details →
zenodo40/100

Data associated to the manuscript "Direct Imaging of Micrometer Thick Interfaces in Salt-Salt Aqueous Biphasic Systems"

<p>Supporting data for the article:</p> <p>Direct Imaging of Micrometer Thick Interfaces in Salt-Salt Aqueous Biphasic Systems</p> <p>PNAS 2023, doi:&nbsp;0.1073/pnas.2220662120</p> <p>The folder contains binodal curves and surface tension measurements, FTIR and NMR raw data, and Raman imaging data.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Data set for the manuscript "Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam"

<p>This document provides the data set supplementary to the manuscript &quot;Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam&quot;</p> <p>Data content: Tables 1-3</p> <ul> <li>Table 1. The global annual data of GDP, surface temperature anomalies, carbon dioxide emissions and different kinds of renewable energy during 2000-2020. The renewable energy includes hydropower, wind, solar, geothermal, biomass and others (unit: TWh).</li> <li>Table 2.&nbsp; The annual mean temperature, CO2 emissions, and renewable energy data in China from 2000 to 2020. The renewable energy data include hydro, solar, and wind electricity generation (unit: kWh).</li> <li>Table 3. Annual variation of precipitation and biodiversity in the TGD area. Annual mean precipitation data over China and the TGD are provided. Biodiversity data include the number of Yangtze Finless Porpoise, Carp Egg and Larvae, and the number of spawners in spawning ground for Acipenser_sinensis.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Accompanying Data for the Manuscript "There's more to life than O2: Simulating the detectability of a range of molecules for ground-based high-resolution spectroscopy of transiting terrestrial exoplanets"

<p>This file contains results for all cases considered in the manuscript titled &quot;There&#39;s more to life than O2: Simulating the detectability of a range of molecules for ground-based high-resolution spectroscopy of transiting terrestrial exoplanets&quot;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Supplementary data S1 associated with the manuscript "Limited climatic space for alternative ecosystem states in Africa"

<p>Site locations and meta-data used in this study. The original sources of the data and how they were filtered for this study are described in the methods section of the manuscript.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Data underlying OpenPBTA Manuscript Figures and Molecular Alterations

<p>This upload contains CSV files that represent data contained in plots shown in the OpenPBTA manuscript. It is intended to facilitate inspection of the underlying data shown in each figure and to explicitly capture which samples are included in figures (where applicable). Please see the README included in the upload for more information about individual files.</p> <p>To <strong>reproduce the figures</strong>, we recommend using the code in the analysis repository: <a href="https://github.com/AlexsLemonade/OpenPBTA-analysis">https://github.com/AlexsLemonade/OpenPBTA-analysis</a>. Please see the <code>figures/</code> directory documentation in the repository and the documentation for figure generation scripts (<code>figures/scripts/README.md</code>).</p> <p>The version of the upload corresponds to the version of the release in the analysis repository.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Datasets and R source code of manuscript "From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade" by Emilie Rojas et al.

<p>Datasets and R source code of manuscript &quot;From behaviour to complex communities: Resilience to anthropogenic noise in a fish-induced trophic cascade&quot; &nbsp;by Emilie Rojas et al.</p>

opencc-by-4.0Jun 2022View details →
zenodo40/100

Datasets for manuscript - Dirichlet diffusion score model for biological sequence generation.

<p>This repository holds the&nbsp;trained Dirichlet Diffusion Score models for various datasets.</p> <p><strong>best_models.tar.gz</strong></p> <p>It also contains all input data required to train your own models with scripts provided via <a href="https://github.com/jzhoulab/ddsm">github repository</a>.</p> <p><strong>data.tar.gz</strong></p> <p>This archive contains the following folders:&nbsp;</p> <ul> <li><strong>satnet_sudoku </strong>contains dataset with sudoku examples which we used for evaluation of sudoku model.</li> <li><strong>promoter_design</strong> contains&nbsp;dataset used for training promoter design model as well as Sei model weights. Please, read provided readme file before using it for training scripts.&nbsp;</li> </ul>

opencc-by-4.0May 2023View details →
zenodo40/100

Processed data and scripts supporting the manuscript "Single-cell transcriptomics reveals immune suppression and cell states predictive of patient outcomes in rhabdomyosarcoma"

<p>This submission contains the compiled count table,&nbsp;processed R objects and various scripts and output files&nbsp;accompanying our manuscript &quot;Single-cell transcriptomics reveals immune suppression and cell states predictive of patient outcomes in rhabdomyosarcoma&quot; (Nature Communications, 2023,&nbsp;https://doi.org/10.1038/s41467-023-38886-8)</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Data repository for manuscript "Contacting individual graphene nanoribbons using carbon nanotube electrodes"

<p>This is the raw data for&nbsp;the manuscript &quot;Contacting individual graphene nanoribbons using carbon nanotube electrodes&rdquo;.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Test data and analysis script for manuscript: Uncovering the complex relationship between balding, testosterone and skin cancers in men

<p>Test data for the manuscript entitled: &quot;<strong>Uncovering the complex relationship between balding, testosterone and skin cancers in men&quot;</strong><br> <br> Includes:&nbsp;<br> --Readme.txt<br> --folder: example<br> --folder: script</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system

<p>Data and statistical analysis scripts for manuscript on pennycress&nbsp;roots &amp;&nbsp;response to nitrate using 3Dgel system</p> <blockquote> <p><strong>A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (<em>Thlaspi arvense</em>&nbsp;L.) accessions</strong> - [<a href="https://doi.org/10.3389/fpls.2023.1145389">https://doi.org/10.3389/fpls.2023.1145389</a>]</p> </blockquote> <p>The following files contains:</p> <ul> <li><code>gel_data_preprocessing_20221024.R</code> - R&nbsp;statistics script for pre-processing data files from 3Dgel system GIARoots &amp; DynamicRoots raw output</li> <li><code>gel_dataprocessing_20221229.R</code> - R statistics script for data processing of pre-processed 3D gel data</li> <li><code>TaGNS_N_Spring32.zip</code> -&nbsp; CSV data files and R statistics script for Spring32&nbsp;grown under high, low,&nbsp;trace and zero&nbsp;N treatments.</li> <li><code>TaGNE_N_Accessions.zip</code>&nbsp;- CSV data files and R statistics script for 3 accessions under high and trace N treatments.</li> <li><code>TaGAA_N_Accessions.zip</code>&nbsp;- CSV data files and R statistics script for 24 diverse pennycress lines grown under high N conditions.</li> </ul>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Data files for manuscript "Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%"

<p>#2023-06-16<br> #Summary<br> This ZIP-file contains the data files used for all analyses for the manuscript &quot;Re-evaluation and Re-analysis of 152 research exomes five years after the initial report reveals clinically relevant changes in 18%&quot;.</p> <p><br> #File structure<br> README.txt&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;This README file.<br> File S02 (&quot;FileS2_conNDD-cohort.xlsx&quot;)&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;All variants identified by Reuter et al. previously with reevaluated variants and addition variants identified in this&nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;project togetehr with information about the families, individuals, samplesand the BAM files assessed in this project.<br> File S03 (&quot;FileS3_conNDD-variants.xlsx&quot;)&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;All variant data analyzed from the cohort. Including a sheet with thresholdes for in silico predictions tools used to predict effect of variants,&nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;a table with exome wide homozygous variants in 4 categories (A45, LGD, Missense, Splice), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice)<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;filtered for domiant genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table with exome wide variants in 4 categories (A45, LGD, Missense, Splice) filtered for recessive genes associated with neurodevelopmental disorders in SysID (Prime and Candidate list), a table withcopy number (CN) calls for the cohort and a table withcalls for runs of homozygosity (RoH) regions.</p> <p>#Files and checksums<br> 29c4b2f3dd8985d268f50dd3e0265798&nbsp;&nbsp; &nbsp;./FileS2_conNDD-cohort.xlsx<br> a054334637b8b22a9bf743db1e348663&nbsp;&nbsp; &nbsp;./FileS3_conNDD-variants.xlsx<br> &nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Dataset for manuscript "Plants as inspiration for material‑based sensing and actuation in soft robots and machines"

<p>The dataset includes data for Figure 2 in the article &quot;Plants as inspiration for material-based sensing and actuation in soft robots and machines<em>&quot; MRS Bulletin</em> (2023). https://doi.org/10.1557/s43577-022-00470-8</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Data from the manuscript 'Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context'

<p>Data sets from the manuscript &#39;Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context&#39;. These include the test statistics from analyses of real and simulated data, and the data used to generate the figures relating to the goodness-of-fit of the generalised extreme value distribution to the GPS test statistics under the null. Please see the enclosed README for more details.</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Data files for manuscript "Elucidating the clinical and molecular spectrum of SMARCC2-associated NDD in a cohort of 65 affected individuals"

<p># 2023-06-28<br> # Data files for manuscript &quot;Elucidating the clinical and molecular spectrum of SMARCC2-associated NDD in a cohort of 65 affected individuals&quot;<br> # Summary<br> This ZIP-file contains the supplementary files of our SMARCC2 study &quot;Elucidating the clinical and molecular spectrum of SMARCC2-associated NDD in a cohort of 65 affected individuals&quot;.&nbsp;<br> Suppl. File S2 contains comprehensive clinical data<br> Suppl. File S3 contains comprehensive genetic data<br> Suppl. File S4 contains files of the SMARCC2 N-terminal homology model</p> <p># Folder structure<br> ./ &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;(parent directory containing this README file and all subfolders)<br> ./Files/ &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;(contains Excel Suppl. File S2 and Suppl.File S3, and ZIP Suppl.File S4)</p> <p># Files and checksums<br> Algorithm &nbsp; &nbsp; &nbsp; Hash &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Path<br> --------- &nbsp; &nbsp; &nbsp; ---- &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ----<br> MD5 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 003A879AA75CF8B5C4E3E05F76C4EB4C &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; SMARCC2-Supplementary\Files\FileS2_cases_clinical-table.xlsx<br> MD5 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 73B4F9E83419A8404345101CAA4D2205 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; SMARCC2-Supplementary\Files\FileS3_variants-and-domains.xlsx<br> MD5 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; B0A12F36B4801EB6C4D21BA02B4270BB &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; SMARCC2-Supplementary\Files\FileS4_SMARCC2 N-terminal homology model.zip</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

List of manuscripts containing John Chrysostom's Homilies and the relevant manual transcriptions

<p>This dataset consists of a <strong>list of all manuscripts</strong> (in the form of a .csv file) used as data in experiments with HTR training via Transkribus. The manuscripts are dated between the 10th-14th&nbsp;centuries and transmit John Chrysostom&rsquo;s <em>Homilies on St. Paul&rsquo;s Epistles to Titus</em>. Homilies 1 and 5 were exploited for the training process.&nbsp;In addition, <strong>19 XML source files</strong> are provided in the <strong>TEI standards</strong> format, which contains a sample of the manual transcription used as ground truth data for training HTR models.</p> <p>Specifically, the&nbsp;<strong>sample_dataset_chrysostomus_ad-titum.csv</strong><strong>&nbsp;</strong>file includes the following columns:</p> <ul> <li><strong>Sigla:</strong> a capital letter used in critical editions to refer to a specific manuscript in an abbreviated form.</li> <li><strong>Manuscripts:&nbsp;</strong>the name of each manuscript, containing the library and the catalogue number assigned to it.</li> <li><strong>Folia:&nbsp;</strong>the folia (i.e., pages) of each manuscript used in the experiments. A different sequence of folia from the same manuscript is recorded in a separate&nbsp;row of this file.</li> <li><strong>Ground truth data sample [file_name]:&nbsp;</strong>the file name of the TEI/XML files that&nbsp;correspond&nbsp;to each manuscript.</li> <li><strong>Image files:&nbsp;</strong>most digital reproductions of manuscripts are under some degree of copyright protection. So, instead of the image files, in this column, one can find a link to the relevant library&#39;s digital archive (if applicable).</li> </ul> <p><strong>**IMPORTANT NOTE:</strong> Version 1 contained an erroneous file. Please use only version 1.2.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Appendix of the manuscript: The burden of disease attributable to high body mass index in Belgium

<p>These datasets are part of the Appendix of the manuscript:&nbsp;<em>The burden of disease attributable to high body mass index in Belgium </em>from Gorasso et al.</p> <p>Appendix 3 includes the relative risks by age, sex and disease extracted from GBD 2019 used in the manuscript;</p> <p>Appendix 4 includes the results of the population&nbsp;attributable fractions of high body mass index by age, sex and disease derived in the manuscript.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Date set for the manuscript: The Role of Sediment Gas Storage in the Methane Dynamics of a Shallow Freshwater Reservoir

<p>The dataset supports the findings of the manuscript entitled: Linking Sediment Gas Storage to the Methane Dynamics in a Shallow Freshwater Reservoir. The manuscript presents results based on in-situ monitoring at the main pre-dam of the Wupper reservoir. The reservoir is located in Germany and the monitoring was conducted from March 2020 to November 2021. The main goal of the monitoring was to measure the spatial variability of methane fluxes and its dynamics in the reservoir. The methane budget of the reservoir was then analysed in combination with estimates of the amount of free gas stored in the sediment matrix, which were derived from acoustic observations. The findings are discussed in the manuscript.</p> <p>Therefore, the dataset provided as an xlsx file includes separate sheets for:</p> <ul> <li>Sediment measurements of potential methane production (PMP), loss on ignition (LOI), dissolved methane (CH<sub>4</sub>) in porewater, carbon and nitrogen content.</li> <li>Gas content in the sediment estimated from maximum acoustic backscatter for 2020 and 2021 for the reservoir spatial grid.</li> <li>Monthly time-series of methane fluxes (oxidation, diffusion, ebullition, and potential flux at the sediment water interface - PSWI) for each monitoring location and for the reservoir (average of all monitoring locations) with the inclusion of degassing at the dam overflow and advective methane transport (Net-export) by inflow and outflow.</li> <li>Time series of daily mean values of ebullition and environmental parameters monitored in the reservoir.</li> </ul> <p>Explanations and units are provided in column labels. NaN refers to missing data.</p> <p>In this version (Version 2), the calculation of the PSWI has been corrected. It is now calculated as the vertically integrated potential methane production over the top 30 cm layer of the sediment.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Data set for manuscript 'Quantifying geomorphically effective floods using satellite observations of river mobility'

<p>Data underlying the plots / used in the modelling work for the paper &#39;Quantifying geomorphically effective floods using satellite observations of river mobility&#39;, submitted to&nbsp;<em>Geophysical Review Letters.</em></p>

opencc-by-4.0Mar 2023View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record