Skip to main content
Powered by ShareScore

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.

1,477

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

1,477 results for “earth”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 6 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 6. Ichnological and palaeobotanical features associated with the Arthropleura fossil. (a) Trackway of an anthracosaur tetrapod (Baropezia) (individual footprints arrowed). Located at 4.6 m on stratigraphic log in Figure 3d. Scale bar 10 cm. (b) Detail of Baropezia footprint (Ba) adjacent to Stigmaria root (black arrow). For details of vertebrate tracks prior to recent erosional degradation, see Scarboro and Tucker (1995). Located at 4.6 m on stratigraphic log in Figure 3d. Scale bar 20 cm. (c) Thinly bedded wave-rippled facies immediately below fossil horizon showing horizontal invertebrate burrows Planolites (Pl) and Archaeonassa (Ar). Located at 10.6 m on stratigraphic log in Figure 3d. Scale bar 10 cm. (d) Tightly curved invertebrate burrow identified as Taenidium on basis of meniscate fill and absence of lining. Fallen block of same lithology adjacent to fossil-bearing block. Scale bar 10 cm. (e) Ripplelaminated sandstone beds colonized with coalified, downwards-branching plant rootlets. Located at 9.0 m on stratigraphic log in Figure 3d. Scale bar 20 cm. (f) Plant remains in same bed as Arthropleura fossil, including fragment of branch or bark belonging to Lepidodendron sensu lato (black arrow) and thin axis that acutely bifurcates distally, possibly the proximal part of a medullosalean pteridosperm frond (white arrow). Located at 10.0 m on stratigraphic log in Figure 3d. Scale bar 20 cm. (g) Seed fossils, possibly Samaropsis, as produced by cordaitaleans. Note seeds occur immediately adjacent to the Arthropleura remains in the part, seen at top left of image. Located at 10.2 m on stratigraphic log in Figure 3d. Scale bar 5 cm. (h) Stigmaria on stratigraphic top of fallen block hosting the Arthropleura remains. Preserved fraction of main rhizomorph axis extends between white arrows and shows ornamentation in boxed area. Adjacent part of bedding plane contains traces of rootlets (r) branching from the main rhizomorph. Located at 9.8 m on stratigraphic log in Figure 3d Scale bar 1 m.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 5 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 5. Sedimentological characteristics of the Stainmore Formation at the southern end of Howick Bay, attesting to lower delta plain deposition. (a) Rotated view of fallen block hosting fossil at starred horizon, showing lithology of amalgamated trough cross-beds of fine sandstone, coarsening upwards from laminated very fine sandstone and siltstone. Located at c. 8–10 m on stratigraphic log in Figure 3d. Scale bar 20 cm. (b) Casts of syneresis cracks on underside of fallen block. Located at 8 m on stratigraphic log in Figure 3d. Scale bar 10 cm. (c) Detail of cross-bedded sets in which Arthropleura fossil was interred. Note clasts of coaly debris. Located at 9.5 m on stratigraphic log in Figure 3d. Ruler 20 cm. (d) Crudely developed rhythmites of probable tidal origin, colonized with Skolithos (Sk) and Teichnichnus (Te) burrows. Located at 6 m on stratigraphic log in Figure 3d. Scale bar 15 cm. (e) Inclined heterolithic stratification in form of lateral accretion set of small tidal channel; northwards direction of migration arrowed. Located at 1.5 m on stratigraphic log in Figure 3d. Scale bar 70 cm. (f) Incised channel filled with braided alluvium and cutting into underlying sequence at far southern end of Howick Bay. Approximate channel base highlighted. The channel truncates the sequence illustrated in Figure 3d. Scale bar 2 m.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 4 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 4. Context of the specimen prior to extraction. (a) Slab A of the fossil (facing stratigraphically upwards). Note convex-down doming of the host sediment. Scale bar 20 cm. (b) Slab B of the fossil (facing stratigraphically downwards). (c) Fallen block in which the fossil was discovered in January 2018 (white circle), showing split in rock where fossil was exposed (white triangle). Black circle denotes position in cliff profile from where the block fell. Listric faults in hanging wall of Howick Fault are highlighted, showing hanging wall thickening of mudrock (HT), attesting to synsedimentary origin (red arrows indicate sense of fault movement). Scale bar 2 m. (d) View of the fallen block (white circle) and original position (black circle) in the context of the Howick Fault damage zone and master fault separating the Alston and Stainmore formations; HT is at same position as in part (c). Host bed is immediately adjacent to one of two synsedimentary (Mississippian) normal faults that were later reactivated as strike-slip faults during the latest Carboniferous to Permian emplacement of the Whin Sill dolerite intrusion (De Paola et al. 2005). This structural context attests to strain in the fossil-bearing sandstone bed prior to full lithification and may explain certain features of the fossil (see main text). Blue dashed line show approximate stratigraphic position of the Lickar Limestone, marking the onset of the late Serpukhovian (Cózar and Somerville 2021). Scale bar 5 m. Photograph in part (d) courtesy of Geospatial Research Limited.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 3 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 3. Geological context of the site. (a) Locality within the Northumberland Basin. (b) Geological map of the fossil locality. (c) Regional stratigraphy. (d) Sedimentary log of the fossil site. LA sets, lateral accretion sets. (e) Structural profile along cliffs at the southern end of Howick Bay showing fossil site within damage zone of the Howick Fault (location of section denoted with British National Grid references).

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 2 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 2. Interpreted sketch of the fossil, as preserved in slab A, while still intact in fallen block of host sandstone prior to excavation. The overlap pattern of the paratergites on the left indicates that this is the ventral site of the dorsal exoskeleton. The typical ornamentation of the dorsal site of Arthropleura tergites and paratergites is therefore not visible.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Fig. 1 in The largest arthropod in Earth history: insights from newly discovered Arthropleura remains (Serpukhovian Stainmore Formation, Northumberland, England)

Fig. 1. Specimen of partial remains of a giant Arthropleura (anterior 12– 14 tergites) after excavation from the Serpukhovian Stainmore Formation, Howick Bay, Northumberland, England (CAMSM X.50355). Slab A and slab B are not true part and counterpart, but rather a split through the middle of a threedimensional dorsal exoskeleton (see Fig. 7 and discussion in text).

opencc-by-4.0Dec 2021View details →
zenodo40/100

Datasets for JGR-Solid earth

<p>This <a>repository</a>&nbsp;contains the data used in the paper &quot;<strong>Effects of digitalization representation of microscopic multiphase heterogeneity in the same physical field of view on micromechanics and cracking behaviors of sandstone by 3D reconstructio</strong><strong>n&quot;.</strong></p>

opencc-by-3.0-usJan 2022View details →
zenodo40/100

Fatiando a Terra Data: Earth - Geoid height grid at 10 arc-minute resolution

<p>Global 10 arc-minute resolution grids of geoid height with respect to the WGS84 ellipsoid.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It&#39;s meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p> <p><strong>Source: </strong><a href="https://doi.org/10.5880/icgem.2015.1">EIGEN-6C4</a> spherical harmonic model (generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p> <p><strong>Source license: </strong><a href="https://doi.org/10.5880/icgem.2015.1">CC-BY</a></p> <p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-geoid-10arcmin">https://github.com/fatiando-data/earth-geoid-10arcmin</a></p>

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

Fatiando a Terra Data: Earth - Topography grid at 10 arc-minute resolution

<p>Global 10 arc-minute resolution grids of topography (ETOPO1 ice-surface) referenced to mean sea-level (which we will consider to be the geoid).</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It&#39;s meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p> <p><strong>Source:&nbsp;</strong><a href="https://doi.org/10.7289/V5C8276M">ETOPO1</a> (grid generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p> <p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/mgg/global/dem_faq.html#sec-2.4">public domain</a></p> <p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-topography-10arcmin">https://github.com/fatiando-data/earth-topography-10arcmin</a></p>

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

Fatiando a Terra Data: Earth - Gravity grid at 10 arc-minute resolution

<p>Global 10 arc-minute resolution grids of gravity acceleration (gravitational and centrifugal) at 10 km geometric height.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It&#39;s meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made: </strong>Convert the grid from the ASCII format of ICGEM to CF-compliant netCDF. Add relevant metadata, including names, units, datum, etc. Fix grid coordinates to be generated by <code>numpy.linspace</code> instead <code>numpy.arange</code> (or the equivalent used by ICGEM internally) to guarantee equal spacing to a higher accuracy. Export to compressed netCDF.</p> <p><strong>Source: </strong><a href="https://doi.org/10.5880/icgem.2015.1">EIGEN-6C4</a> spherical harmonic model (generated by the <a href="http://icgem.gfz-potsdam.de/home">ICGEM calculation service</a>)</p> <p><strong>Source license: </strong><a href="https://doi.org/10.5880/icgem.2015.1">CC-BY</a></p> <p><strong>Repository: </strong><a href="https://github.com/fatiando-data/earth-gravity-10arcmin">https://github.com/fatiando-data/earth-gravity-10arcmin</a></p>

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

Data of Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth

<p><strong>Data of the paper &quot;Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth&quot;.</strong> This dataset includes five tables.&nbsp;<strong>Table S1</strong> is the original data of the measurements of the moisture content <em>w</em><sub>0</sub>, <strong>Table S2</strong> is the original data of the pycnometer test, which was conducted to obtain the specific gravity <em>G</em><sub>s</sub> of our samples, <strong>Table S3</strong> is the original data of the consolidation experiments, <strong>Table S4</strong> is the original data of the permeability experiments, and <strong>Table S</strong><strong>5</strong> is the martian global delta relief obtained by us based on MOLA data, which is used as the maximum thickness of a delta.</p> <p><strong>Table S1.</strong> The original data of the measurements of the moisture content <em>w</em><sub>0</sub>. The initial void ratio is calculated by equation (1). &nbsp;<em>A&#39;</em>&nbsp;is the inner area of the consolidation container.</p> <p><strong>Table S2.</strong> The original data of the pycnometer test, which was conducted to obtain the specific gravity <em>G</em><sub>s</sub> of our samples. The specific gravity <em>G</em><sub>s </sub>can be derived from&nbsp;<em>m</em><sub>d</sub><em>G</em><sub>wT</sub>&nbsp;/(<em>m</em><sub>bw+</sub><em>m</em><sub>d+</sub><em>m</em><sub>bws</sub>), where <em>m</em><sub>d </sub>is the samples&rsquo; dry mass, <em>m</em><sub>bw </sub>is the total mass of the pycnometer and water,<em> m</em><sub>bws </sub>is the total mass of the pycnometer, water and samples, and <em>G</em><sub>wT</sub> is the specific gravity of pure water at<em> T&nbsp;</em>℃.</p> <p><strong>Table S3.</strong> The original data of consolidation experiments of our samples. The void ratio is calculated by equation (2).</p> <p><strong>Table S4. </strong>The original data of permeability experiments of our samples. The hydraulic conductivity <em>K </em>was calculated by equations (3) and (4). The inner area of the consolidation container is 30 cm<sup>2</sup>, the cross-sectional area<em> a&#39; </em>of the water pipe is 0.89286 cm<sup>2</sup>, and the seepage path length <em>L</em> equals the sample initial height <em>h</em><sub>0</sub> minus the accumulated height <em>&Sigma;</em>&Delta;<em>h</em><sub>i</sub>. <em>t</em>1 and <em>t</em>2<sub> </sub>are the first and the second test results of time-taken for water dropping from <em>H</em><sub>1</sub> to <em>H</em><sub>2</sub>, respectively. <em>t</em> is the average of <em>t</em>1 and <em>t</em>2. <em>T</em><em>&rsquo;</em> is the temperature during the experiments. Note: we only test the <em>T</em><em>&rsquo;</em> of the third group and here we used the average of <em>T&rsquo; </em>(=12.5℃) to represent the temperature of all three parallel groups during the experiments. It&rsquo;s acceptable because <em>T&rsquo;</em> varies slightly throughout the experiments, whose fluctuations hardly affect the order of magnitude of the hydraulic conductivity <em>K</em>. The seepage velocity <em>v</em>=<em>Q</em>/<em>A&rsquo;t</em>, in which <em>Q</em> is the volume of water that seeps out of the samples.</p> <p><strong>Table S5.</strong> The delta relief of a delta. The locations of martian deltas are based on the database of Wilson et al. (2021)</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

GPS time series of solid Earth deformation for the southern Antarctic Peninsula

<p>This dataset contains vertical GPS time series observed from selected sites in the southern Antarctic Peninsula. The time series were processed using GAMIT-GLOBK software (Herring et al., 2016) in combination with a globally distributed network that includes all available data from the International GNSS Service (IGS), US POLENET-ANET and UKANET networks. The provided archive contains raw and corrected time series for the effect of elastic deformation-induced from the RACMO surface mass balance (SMB) model with a 5.5 km horizontal resolution (van Wessem et al. 2016). This data is used in the manuscript &quot;GPS-observed elastic deformation due to surface mass balance variability in the Southern Antarctic Peninsula&quot; to study how modelled elastic deformation due to SMB variation can explain vertical land motion observed derived from GPS signals.</p>

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

Dataset of steady magnetospheric convection events in Earth's magnetosphere from 1997 to 2013

<p>This dataset is a list of steady magnetospheric convection (SMC) events occurring in Earth&#39;s magnetosphere between 1997 and 2013.&nbsp; The criteria and method of SMC selection are documented in the following two papers:</p> <p>Kissinger et al. (2011), &quot;Steady magnetospheric convection and stream interfaces: Relationship over a solar cycle&quot;, JGR, doi:10.1029/2010JA015763.<br> <br> Kissinger et al. (2012), &quot;Diversion of plasma due to high pressure in the inner magnetosphere during steady magnetospheric convection&quot;, JGR, doi:10.1029/2012JA017579.</p> <p>The filename &quot;smc_list_1997_2013.csv&quot; is a list of every SMC selected during this time period. This is a comma-separated file with two columns: the first column is the timestamp indicating the start of the SMC event, and the second column is the timestamp indicating the end of the SMC event.&nbsp;</p> <p>The filename &quot;smc_list_1997_2013_longerthan5hrs.csv&quot; is a subset of the first list, filtered to only SMCs with a duration longer than 5 hours. The schema of this file matches the first one, with an additional third column showing the duration of the SMC in hours.</p>

opencc-by-4.0Jan 2011View details →
dryad40/100

Analyses of the redlegged earth mite mitogenome (Halotydeus destructor: Tucker)

<p>Data and analyses for the paper: </p> <p>Thia et al. (accepted) The mitogenome of <em>Halotydeus destructor</em> (Tucker) and its relationships with other trombidiform mites as inferred from nucleotide sequences and gene arrangements. <em>Ecology and Evolution</em>.</p> <p>In this work, Thia et al. described the first complete mitogenomic sequence of the redlegged earth mite (RLEM). Phylogenetic analyses were used to contextualise the evolutionary relationships of the RLEM mitogenome with those of other mites from the order Trombidiformes. Phylogenies were inferred through Bayesian inference using a combination of nucleotide sequences and gene order arrangements of protein-coding and rRNA genes.</p>

opencc-zeroFeb 2022View details →
zenodo40/100

Data of publication A Frequency-Multiplexed Coherent Electro-optic Memory in Rare Earth Doped Nanoparticles

<p>Data corresponding to main text figures of publication :&nbsp;A. Fossati, S. Liu, J. Karlsson, A. Ikesue, A. Tallaire, A. Ferrier, D. Serrano, and P. Goldner,&nbsp;<em>A Frequency-Multiplexed Coherent Electro-Optic Memory in Rare Earth Doped Nanoparticles</em>, Nano Lett.&nbsp;<strong>20</strong>, 7087 (2020).</p>

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

Data of paper Controlling the interfacial reactions and environment of rare-earth ions in thin oxide films towards wafer-scalable quantum technologies

<p>Data of the figures in the paper :</p> <p>N. Harada, A. Tallaire, D. Serrano, A. Seyeux, P. Marcus, X. Portier, C. Labb&eacute;, P. Goldner, and A. Ferrier,&nbsp;<em>Controlling the Interfacial Reactions and Environment of Rare-Earth Ions in Thin Oxide Films towards Wafer-Scalable Quantum Technologies</em>, Mater. Adv.&nbsp;<strong>3</strong>, 300 (2022). doi:&nbsp;10.1039/D1MA00753J</p>

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

Global demand data for PyPSA-Earth: An Open Optimisation Model of the Earth Energy System.

<p><strong>PyPSA-Earth </strong>is an open model dataset of the global power system at different network levels that cover our Earth. The African model can be built using the code provided at <a href="https://github.com/pypsa-meets-africa/pypsa-africa">https://github.com/pypsa-meets-africa/pypsa-africa</a>. Other regions follow soon under the same code base.</p> <p>Since the GitHub codebase is not suited for handling large changing files, we provide here separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-meets-africa.readthedocs.io/en/latest/index.html">documentation</a></p> <p>The below-provided <strong>resource file </strong>contains demand time-series generated by <a href="https://github.com/niclasmattsson/GlobalEnergyGIS/blob/b23206f8701acafdf7359f9cc952dfd4e7b819e5/src/downloaddatasets.jl">GEGIS</a> covering the world. The time series are produced for different socio-economic scenarios (SSP), weather years, and prediction years<strong>.</strong></p>

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

FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000-2021 based on MODIS imagery using Google Earth Engine

<p>This is a supplementary data set for&nbsp;FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during<br> 2000{2021 based on MODIS imagery using Google Earth Engine</p> <p>The files include:</p> <p>(1) Snow spectra modelled by TARTES, a two-stream radiative transfer model for light in snow (Libois et al., 2013).</p> <p>(2) Spectra extracted from MODIS, using AUTO-EM.</p> <p>(3) Endmember selection results, including ESS, EMC, and AMUSES.</p> <p>The other hyperspectral&nbsp;data from field measurements can be acquired by contact the original authors.</p> <p>Libois, Q., Picard, G., France, J., Arnaud,&nbsp;L., Dumont, M., Carmagnola, C., King, M., 2013. Influence of grain shape on light penetration in snow. The Cryosphere 7, 1803-1818.</p>

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

Model output and PTt marker data for van Agtmaal et al., 2022 (in review), Frontiers in Earth Science

<p>Model output for reproduction of key figures in the manuscript van Agtmaal et al. titled &quot;Quantifying continental collision dynamics for Alpine-style orogens&quot; currently under revision in Frontiers in Earth Science</p>

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

A Google Earth Engine code to analyze e visualize land surface temperature and thermal hot-spot patterns: a Rome (Italy) case study

<p>Link to the&nbsp;<strong>Google Earth Engine </strong>(GEE) code: <strong>https://code.earthengine.google.com/cc3ea6593574e321acd7b68c975a9608</strong></p> <p>You can&nbsp;analyze and visualize the following spatial layers by accessing the&nbsp;GEE link:&nbsp;</p> <ol> <li><strong>Daytime summer land surface temperature</strong>&nbsp;(raster data, 30 m horizontal&nbsp;resolution, from Landsat-8 remote sensing data, years 2017-2022)</li> <li><strong>The surface thermal hot-spot pattern&nbsp;</strong>(raster data,30 m&nbsp;horizontal&nbsp;resolution) was&nbsp;obtained by using a statistical-spatial method based on the Getis-Ord Gi* approach through the ArcGIS&nbsp;tool.&nbsp;</li> </ol> <p>Here attached the .txt&nbsp;file from&nbsp;the&nbsp;<strong>GEE code</strong>.&nbsp;</p> <p>&nbsp;</p> <p><em>E-mail</em></p> <p>Giulia Guerri, CNR-IBE, giulia.guerri@ibe.cnr.it</p> <p>Marco Morabito, CNR-IBE, marco.morabito@cnr.it</p> <p>Alfonso Crisci, CNR-IBE, alfonso.crisci@ibe.cnr.it</p>

opencc-by-4.0Jul 2022View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.