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.

2,001

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2,001 results for “x-rays”

Learn how ShareScore rates datasets ↗
zenodo40/100

Text-fig. 5. Scanning electron micrographs (a, b, d–f) and X-ray microtomographic orthoslices (c) of capsular fruits composed of three carpels fruits and fragment of a capsular fruit from Zliv-Řídká Blana locality. a–c: Taxon 12, a – capsules of broadly elliptical shape, no. NM-F3302, b – tricarpellate capsules in apical view, no. NM-F 3302, c – tricarpellate capsules with pentamerous calyx, no. NM-F3302; d, e: Taxon 13, d – tricarpellate capsules of broadly elliptical shape, no. NM-F 4501, e – tricarpellate capsules in apical view, no. NM-F 4501; f: Taxon 11, fragment of a capsular fruit, no. NM-F 4622. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic

Text-fig. 5. Scanning electron micrographs (a, b, d–f) and X-ray microtomographic orthoslices (c) of capsular fruits composed of three carpels fruits and fragment of a capsular fruit from Zliv-Řídká Blana locality. a–c: Taxon 12, a – capsules of broadly elliptical shape, no. NM-F3302, b – tricarpellate capsules in apical view, no. NM-F 3302, c – tricarpellate capsules with pentamerous calyx, no. NM-F3302; d, e: Taxon 13, d – tricarpellate capsules of broadly elliptical shape, no. NM-F 4501, e – tricarpellate capsules in apical view, no. NM-F 4501; f: Taxon 11, fragment of a capsular fruit, no. NM-F 4622.

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

Text-fig. 4. Scanning electron micrographs (a, c, e–k) and X-ray microtomographic orthoslices (b, d) of capsular fruits compose of five carpels from Zliv-Řídká Blana locality. a–d: Taxon 4, a – fruit elliptical in shape, no. NM-F 3188, b – young fruit with reminisce of free styles at top and showing central placentation of seeds, no. NM-F 3188, c – pentacarpellate capsules in apical view, no. NM-F 3188, d – fruit with five locules, no. NM-F 3235; e, f: Taxon 6, e – elongated fruit in lateral view, the persistent perianth at the base of the fruit (arrowhead), no. NM-F 3194, f – fruit in apical view, no. NM-F 3194; g, h: Taxon 5, g – elongated fruit in lateral view, no. NM-F 3193, h – fruit showing remains of a persistent calyx in the basal part (arrowhead), no. NM-F 3193; i–k: Taxon 7, i – pentacarpellate capsules of broadly elliptical shape, no. NM-F 4091, j – fruit, apical view, no. NM-F 4091, k – fruit with five seeds (arrowheads) ellipsoidal or triangular in outline and with a thick seed coat, no. NM-F 4091. in Plant Mesofossils From The Late Cretaceous Klikov Formation, The Czech Republic

Text-fig. 4. Scanning electron micrographs (a, c, e–k) and X-ray microtomographic orthoslices (b, d) of capsular fruits compose of five carpels from Zliv-Řídká Blana locality. a–d: Taxon 4, a – fruit elliptical in shape, no. NM-F 3188, b – young fruit with reminisce of free styles at top and showing central placentation of seeds, no. NM-F 3188, c – pentacarpellate capsules in apical view, no. NM-F 3188, d – fruit with five locules, no. NM-F 3235; e, f: Taxon 6, e – elongated fruit in lateral view, the persistent perianth at the base of the fruit (arrowhead), no. NM-F 3194, f – fruit in apical view, no. NM-F 3194; g, h: Taxon 5, g – elongated fruit in lateral view, no. NM-F 3193, h – fruit showing remains of a persistent calyx in the basal part (arrowhead), no. NM-F 3193; i–k: Taxon 7, i – pentacarpellate capsules of broadly elliptical shape, no. NM-F 4091, j – fruit, apical view, no. NM-F 4091, k – fruit with five seeds (arrowheads) ellipsoidal or triangular in outline and with a thick seed coat, no. NM-F 4091.

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

Text-fig. 5. Extant Fraxinus fruits photographed by digital camera and X-ray microscopy. a: F. excelsior L. (Sect. Fraxinus); b: F. xanthoxyloides WALL. (Sect. Sciadanthus); c: F. malacophylla HEMSL. (Sect. Ornus). Red arrow refers to the air sac above seed, scale bars = 1 cm. in Fraxinus L. (Oleaceae) Fruits From The Early Oligocene Of Southwest China And Their Biogeographic Implications

Text-fig. 5. Extant Fraxinus fruits photographed by digital camera and X-ray microscopy. a: F. excelsior L. (Sect. Fraxinus); b: F. xanthoxyloides WALL. (Sect. Sciadanthus); c: F. malacophylla HEMSL. (Sect. Ornus). Red arrow refers to the air sac above seed, scale bars = 1 cm.

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

Text-fig. 2. CT slices on Block 2. Details of other skeletal parts (a). The familiar shape of an ammonite (a, c). Holes, cracks and empty cavities in both the limestone matrix and within the vertebrate fossil (b, c). Heterogeneity of the 'tuffeau' limestone, the more porous areas of the matrix clearly distinguishable from the more compact ones (c). Ferric nodules (c). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner

Text-fig. 2. CT slices on Block 2. Details of other skeletal parts (a). The familiar shape of an ammonite (a, c). Holes, cracks and empty cavities in both the limestone matrix and within the vertebrate fossil (b, c). Heterogeneity of the 'tuffeau' limestone, the more porous areas of the matrix clearly distinguishable from the more compact ones (c). Ferric nodules (c).

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

Text-fig. 1. CT slices on Block 1. Details of the internal bone structure (a, b), teeth (b, c). Invertebrate imprints (a, c). Holes, cracks and empty cavities in both the limestone matrix and within the vertebrate fossil (b). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner

Text-fig. 1. CT slices on Block 1. Details of the internal bone structure (a, b), teeth (b, c). Invertebrate imprints (a, c). Holes, cracks and empty cavities in both the limestone matrix and within the vertebrate fossil (b).

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

Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019). in Hidden Treasures Uncovered: Successful Detection Of Fossils Below The Surface In Large Limestone Blocks Using A Standard Medical X-Ray Ct Scanner

Text-fig. 3. CT slices on Block 3. Invertebrate moulds (a, c) and remains of their hard skeletons (a, b). Large areas of limestone matrix hold either only a few scattered invertebrates or no fossil at all (b, c). Ring artefacts seen close to the isocentre of the scan (b, c) are a well-known phenomenon caused by the X-ray beams traversing the block at an insufficient radiation dose (as expected in such a large block of dense material), and are not part of any physical structure present therein (Triche et al. 2019).

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

Supplementary material S5. Ptilodactyla odnosum Telnov, Perkovsky, Kundrata and Bukejs sp. nov., holotype, MAIG-6710, female, X-ray micro-CT volume rendering of the left antenna.

<p>Supplementary material S5 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairi&scaron;s K., Vasilenko D.V., Bukejs A. Revealing&nbsp;Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first <em>Ptilodactyla </em>Illiger, 1807 records from Rovno amber of Ukraine. <em>Historical Biology</em>.</p>

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

Supplementary material S4. Ptilodactyla odnosum Telnov, Perkovsky, Kundrata and Bukejs sp. nov., holotype, MAIG-6710, female, X-ray micro-CT volume rendering of the habitus.

<p>Supplementary material S4 in paper: Telnov D., Perkovsky E.E., Kundrata R., Kairi&scaron;s K., Vasilenko D.V., Bukejs A. Revealing&nbsp;Palaeogene distribution of the Ptilodactylidae (Insecta: Coleoptera): the first <em>Ptilodactyla</em> Illiger, 1807 records from Rovno amber of Ukraine. <em>Historical Biology</em>.</p>

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

High-resolution hard X-ray tomography and histology of a rat jaw for stem cell-mediated distraction osteogenesis

<p>Histology and microtomography of a rat jaw after distraction. These datasets appear in &quot;<em>Combining high-resolution hard X-ray tomography and histology for stem cell-mediated distraction osteogenesis</em>&quot; Applied Sciences 12(12) (2022) 6268.</p> <p>Micromography (hdr/img files) has pixel size of 10.0228 &micro;m. Histology (.tif file) has pixel size of 0.243094 &micro;m.</p> <p>Slice to volume registration scripts can be found at https://github.com/grodgers1/SliceToVolume.</p>

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

X-ray scattering Datasets of gold and silver nanoparticle composites, relating to the publication "Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup"

<p>Wide-range X-ray scattering datasets and analyses&nbsp;for all samples described in the 2020 publication &quot;Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup&quot;. These datasets are composed by combining multiple small-angle x-ray scattering and wide-angle x-ray scattering curves into a single dataset. They have been analyzed using McSAS to extract polydispersities and volume fractions. They have been collected using the MOUSE project (instrument and methodology).&nbsp;</p> <p>&nbsp;</p>

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

Materials for "GRB221009A: INTEGRAL detection of Hard X-ray emission at least 38 hours after trigger"

<p>Images and data for &quot;GRB221009A: INTEGRAL detection of Hard X-ray emission at least 38 hours after trigger&quot;. Text of the <a href="https://www.astronomerstelegram.org/?read=15663">ATel #15663</a> and <a href="https://gcn.gsfc.nasa.gov/gcn3/32691.gcn3">GCN #32691</a> below.</p> <p>&nbsp;</p> <pre>Volodymyr Savchenko (UNIGE, EPFL), Carlo Ferrigno, Enrico Bozzo (UNIGE), D. Gotz (CEA Paris Saclay), S. Mereghetti (INAF/IASF Milano),&nbsp; Antonio Martin Carrillo, Lorraine Hanlon (UCD), Elisabeth Jourdain, Jean-Pierre Roques (IRAP), Thomas Siegert (University of W&uuml;rzburg), Erik Kuulkers, Celia Sanchez (ESA) Following the detection of the record-breaking GRB221009A by Swift/BAT (GCN #32632,#32635), Fermi/GBM (GCN #32636), INTEGRAL/SPI-ACS (GCN #32660), we have performed INTEGRAL pointed observations of the GRB221009A location. INTEGRAL pointed observation lasted from 2022-10-10T14:31:40 (T0 + 25.2 hours, where T0 is 2022-10-09T13:17:00) to 2022-10-11T03:18:20 (T0 + 38.0 hours) with a total exposure time of 30.2 ks (for ISGRI). In the complete observation, the source is clearly detected in JEM-X1, JEM-X2 (3-30 keV), and ISGRI (28 - 80 keV), with S/N of 27.8, 27.3, 15.0 respectively. The joint JEM-X and ISGRI spectra can be satisfactorily modeled between 3 and 80 keV with a single powerlaw of slope 2.15 +/- -0.07 (90% confidence) with a flux of 4.4e-10 +/- -2.1e-11 erg/cm2/s (3 - 80 keV). This might indicate a single spectral component spanning from from hard X-ray to Fermi/LAT (GCN #32658). Combination of bright Hard X-ray afterglow with gamma-ray emission was also found in GRB120711A (Martin-Carrillo et al. 2014 A&amp;A 567, 84) and GRB130427A (Kouveliotou et al. 2013 ApJ 779L, 1K) - in fact GRB221009A appears rather similar to GRB120711A, but at 10 times smaller distance. Within the relatively short JEM-X not ISGRI lightcurves, we do not observe any evidence for flux decrease. Further INTEGRAL observations are scheduled between 2022-10-11 13:52:21 and 2022-10-13 00:58:26. These observations will overlap with the planned observation of IXPE (GCN #32690). We are grateful to the INTEGRAL Ground Segment team for quickly scheduling the observations. Images and reduced data related to this publication can be found here: https://zenodo.org/record/7186289 </pre>

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

The Missing Link Between Black Holes in High-Mass X-ray Binaries and Gravitational-Wave Sources: Observational Selection Effects

<p>Data tables containing the calculated binary parameters used to acquire all&nbsp;results in&nbsp;<a href="https://arxiv.org/abs/2210.01825v1">arXiv:2210.01825v1</a>. The file &quot;xrb_params_illustris_z0.05_sample.csv&quot; contains data for the z&lt;0.05 sampled population and the file&nbsp;xrb_params_illustris_z20_sample.csv&nbsp;contains data for the z&lt;20 sampled population.</p>

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

Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks

<p>Classification dataset used in Kosiba et al. 2020 (10.1093/mnras/staa1723) consisting of candidate clusters in the XCLASS survey</p> <p>Training and testing images and corresponding labels low-z (clusters, 0&lt;z&lt;0.3), hi-z (clusters, z&gt;0.3), nearby galaxy, point source (point, double source, star/AGN), and other (artefact, edge)</p>

opencc-by-4.0Jun 2020View details →
zenodo40/100

Single Crystal X-ray diffraction data for D-phgAT

<p>Single Crystal X-ray diffraction data for Dpg-AT from <em>Pseudomonas stutzeri. </em>Data collected at Diamond Light Source, on beamline I03 on 18/02/2017.</p>

opencc-by-4.0Dec 2016View details →
zenodo40/100

X-Ray Structures of Target-Ligand Complexes Containing Compounds with Assay Interference Potential

<p>A total of 2755 crystallographic complexes&nbsp;with ligands containing PAINS-defining substructures were extracted from the Protein Data Bank (PDB). PDB identifiers of these structures are made available together with the the corresponding PDB_PAINS&nbsp;(component identifier, aromatic nonstereo SMILES, PAINS class).&nbsp;</p>

opencc-by-4.0Jan 2018View details →
zenodo40/100

Figure 1: X-ray di®raction pattern for TiO2/CdS composites samples-PREPARATION AND CHARACTERIZATION OF TIO2/CDS LAYERS AS POTENTIAL PHOTOELECTROCATALYTIC MATERIALS

<p>Fig. 1 shows the X-ray di&reg;raction pattern for TiO2/CdS<br> composites (sample TC 1, TC 2, TC 3 and TC 4). The di&reg;raction pattern of<br> the TiO2/CdS composites exhibits the di&reg;raction peaks owning to CdS phase<br> (hexagonal and cubic). TiO2 (rutile and anatase) phases were also detected.</p>

opencc-by-4.0Sep 2010View details →
zenodo40/100

Multienergy Fan Beam Computed Tomography Dataset of a Bird Chest Imaged with 3 Different X-ray Spectra

<p><strong>Summary</strong></p> <p>This dataset is a collection of X-ray projection data of a biological imaging phantom (a bird chest) imaged in an X-ray microtomography scanner, using three different X-ray spectra. The dataset also includes a metadata file for each of the scans, specifying the scan geometry and other important scan parameters, as well as photographs and example reconstructions. The dataset is designed for use in algorithm development for multienergy computed tomography.</p> <p>&nbsp;</p> <p><strong>Description</strong></p> <p><em>Sample Information</em></p> <p>The sample is the chest of a common quail (<em>Coturnix coturnix</em>) bird obtained frozen from a local supermarket. The chest section of the frozen bird was removed using a handsaw, and left to melt and settle in a sample holder before imaging.</p> <p><em>Scanner</em></p> <p>The measurement data were acquired using an X-ray microtomography scanner in the University of Helsinki Micro-CT Laboratory. The scanner uses cone beam geometry and it is equipped with an end-window tube with a tungsten target.</p> <p><em>Scan Settings</em></p> <p>The dataset consists of three consecutive scans made using identical geometry but different X-ray spectra and detector exposure times. For each scan, 720 X-ray projections were acquired using an angle increment of 0.5 degrees. Multiple frames were averaged for each projection in order to increase signal-to-noise ratio. The scan geometry and the energy-specific settings are summarized in the following two tables.</p> <p><strong>Table 1.</strong> Imaging geometry used for collecting the data.</p> <table> <tbody> <tr> <td><strong>Parameter</strong></td> <td><strong>Value</strong></td> </tr> <tr> <td>Focus-center distance</td> <td>252 mm</td> </tr> <tr> <td>Focus-detector distance</td> <td>420 mm</td> </tr> <tr> <td>Geometric magnification</td> <td>5/2</td> </tr> <tr> <td>Detector pixel size</td> <td>0.200 mm</td> </tr> <tr> <td>Effective pixel size</td> <td>0.120 mm</td> </tr> <tr> <td>Projection size</td> <td>552 x 576 pixels</td> </tr> <tr> <td>Angular range</td> <td>360'</td> </tr> <tr> <td>#projections</td> <td>720</td> </tr> </tbody> </table> <p><strong>Table 2.</strong> Energy-specific settings used for collecting the data.</p> <table> <tbody> <tr> <td>Energy label</td> <td><em>U</em> (kV)</td> <td>Filtration</td> <td><em>I</em> (&mu;A)</td> <td>Exposure time (ms)</td> <td>Frame averaging</td> </tr> <tr> <td><em>E1</em></td> <td>50</td> <td>None</td> <td>300</td> <td>125</td> <td>4</td> </tr> <tr> <td><em>E2</em></td> <td>80</td> <td>1 mm Al</td> <td>180</td> <td>125</td> <td>4</td> </tr> <tr> <td><em>E3</em></td> <td>120</td> <td>0.5 mm Cu</td> <td>120</td> <td>250</td> <td>4</td> </tr> </tbody> </table> <p><em>Data Post-Processing</em></p> <p>Before the scans were made, a dark current image and flat-field image were acquired for each scan setting. During the scans, dark current subtraction and flat-field correction were automatically applied to the X-ray projections by the measurement software.</p> <p><em>Data Contents</em></p> <p>This dataset contains the following files:</p> <ul> <li>The raw projection data (.tif format) for each scan and a metadata file (.txt format) describing the measurement setup, with formatting that is both human-readable and machine-readable.</li> <li>Pre-created 2D sinograms for each energy level. The sinograms have been created from the central plane of the cone beam, which reduces to fan beam geometry. The sinograms are stored in Matlab's .mat file format in data structures which also contain metadata on the measurement.</li> <li>Photographs taken during the measurement process.</li> <li>Example filtered backprojection (FBP) reconstructions of the central plane of the phantom for each energy. The reconstructions were computed using the &nbsp;Phoenix datos|x CT software provided with the microtomography scanner</li> </ul> <p>&nbsp;</p> <p><strong>Research Group</strong></p> <p>This dataset was produced by the Inverse Problems research group at the Department of Mathematics and Statistics at the University of Helsinki, Finland (<a href="https://www.helsinki.fi/en/researchgroups/inverse-problems">https://www.helsinki.fi/en/researchgroups/inverse-problems</a>) in collaboration with the Computational Physics and Inverse Problems research group at the University of Eastern Finland, Finland (<a href="https://sites.uef.fi/inverse">https://sites.uef.fi/inverse</a>) and the X-ray Laboratory at the Department of Physics at the University of Helsinki, Finland (<a href="https://www.helsinki.fi/en/researchgroups/x-ray-laboratory">https://www.helsinki.fi/en/researchgroups/x-ray-laboratory</a>).</p> <p>&nbsp;</p> <p><strong>Previous Use</strong></p> <p>This dataset has been used in the following publications:</p> <p>Jussi Toivanen, Alexander Meaney, Samuli Siltanen, Ville Kolehmainen. Joint reconstruction in low dose multi-energy CT.&nbsp;<em>Inverse Problems and Imaging</em>, 2020, 14(4): 607-629.&nbsp;doi:&nbsp;<a href="https://doi.org/10.3934/ipi.2020028" target="_blank" rel="noopener">10.3934/ipi.2020028</a>.</p> <p>E. Cueva, A. Meaney, S. Siltanen, M. J. Ehrhardt. Synergistic multi-spectral CT reconstruction with directional total variation. <em>Philos Trans A Math Phys Eng Sci</em>. 2021 Aug 23;379(2204):20200198. doi: <a href="https://doi.org/10.1098/rsta.2020.0198">10.1098/rsta.2020.0198</a>.</p> <p>&nbsp;</p> <p><strong>Additional Links</strong></p> <p>To get started with the data, we recommend looking at the HelTomo toolbox, specifically created for working with CBCT data collected by the Inverse Problems research group, and available at&nbsp;<a href="https://se.mathworks.com/matlabcentral/fileexchange/74417-heltomo-helsinki-tomography-toolbox">https://se.mathworks.com/matlabcentral/fileexchange/74417-heltomo-helsinki-tomography-toolbox</a>.</p> <p>&nbsp;</p> <p><strong>Acknowledgements</strong></p> <p>We wish to thank laboratory engineer Heikki Suhonen for his guidance and assistance in conducting the measurements.</p> <p>&nbsp;</p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these datasets, please contact alexander.meaney [at] helsinki.fi.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

SOLID X-ray CT datasets (SDU)

<p>This record provides 4 individual micro computed tomography datasets as 4 zip-files. Each files contains all raw projection data as 16-bit tif files as well as all obtained metadata files. The data has been acquired using a Bruker SKYSCAN 2214 at the Centre for Industrial Electronics of SDU. The 4 datasets are</p> <ul> <li>01-switch-small:&nbsp; a 360 degree scan of a pushbutton switch (camera binning 4x4)</li> <li>02-switch-large:&nbsp; a 360 degree scan of a pushbutton switch</li> <li>03-coffee: a scan of a coffee bean.</li> <li>04-citroen: a scan of a a citroen</li> </ul> <p>The main purpose of the dataset is to test the Python script developed for using the Core Imaging Library (CIL) with data of this particular instrument.</p> <p>In order to compare the obtained results using CIL to the ones obtained by the proprietary software NRecon (version 1.7.5.0) there are two reconstructed datasets available:</p> <ul> <li>001_Rec_CIL.zip</li> <li>001_Rec_NRecon.zip</li> </ul>

opencc-by-4.0May 2024View details →
zenodo40/100

Fig. 3. X in The first record of Cupedidae (Coleoptera: Archostemata) from Eocene Rovno amber: Cupes groehni Kirejtshuk, 2005 examined using X-ray microtomography

Fig. 3. X-ray micro-CT renderings of Cupes groehni Kirejtshuk, 2005, Rovno amber, JDC 8373 [JDC]: A – pronotum and head, dorsal view; B – details of forebody, ventral view. Not to scale.

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

Fig. 2. X in The first record of Cupedidae (Coleoptera: Archostemata) from Eocene Rovno amber: Cupes groehni Kirejtshuk, 2005 examined using X-ray microtomography

Fig. 2. X-ray micro-CT renderings of Cupes groehni Kirejtshuk, 2005, Rovno amber, JDC 8373 [JDC], habitus: A – dorsal view; B – ventral view; C – left lateral view; D – right lateral view. Scale bar represents 1.0 mm.

opencc-by-4.0Dec 2021View 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.