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654 results for “deformable”
PIE LTER extensometer measurements of marsh bank sediment deformation, soil creep in West Creek, Rowley, MA.
Muddy banks of marsh channels experience soil creep – a viscous-like slow deformation resulting in a net downslope transport. Here we present the first field evidence of soil creep in a mesotidal salt marsh using high precision measurements of soil deformation taken with a vibrating-wire extensometer over two years.
High resolution deformation data from the surface of a Nickel-based superalloy: Coarse precipitates
<p>High resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data provided that quantifies the deformation on the surface of Nickel-based superalloy with coarse gamma prime precipitates (250 nm diameter) after 2% strain in tension.</p>
Deformation of flexible ferromagnetic filaments under a rotating magnetic field
<p>This repository contains experimental data and images related to the publication: A. Zaben, G. Kitenbergs, A. Cēbers (2020) Deformation of flexible ferromagnetic filaments under a rotating magnetic field. Journal of Magnetism and Magnetic Materials, 499, 166233 <a href="https://doi.org/10.1016/j.jmmm.2019.166233%20/">https://doi.org/10.1016/j.jmmm.2019.166233 </a> / <a href="https://arxiv.org/abs/1908.02604">https://arxiv.org/abs/1908.02604</a>. </p> <p> </p> <p>Excel files are results named corresponding to figure number in the publication. </p> <p> </p> <p>Root file '1' is for experimental images used for Fig.3, 4 and 5; where either the length is constant having file names as the value of the field strength or named with length values with fixed field strength for different frequencies. The images are named as the frequency value followed by the acquisition index. </p> <p>Data '2' is for images of relaxation experiments presented in Fig.6, for three different lengths and named as Experiment number (time index), having a frame rate of 150. </p>
Data set to ''Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling'
<p>This data set is the supplementary material to Grosse et al. (2020) 'Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling', published in Tectonophysics (https://doi.org/10.1016/j.tecto.2020.228411). The data set consists of (1) 249 digital elevation models (DEMs) of each step of the the analogue experiments carried out, in standard ENVI format, zipped; and (2) an Excel file containing the DEM-derived morphometric parameters for each of the analogue models.</p> <p>Experiments were carried out at the analogue modelling lab of the Department of Geography at the Vrije Universiteit Brussel (Belgium). A granular mixture of fine-grained quartz sand and kaolin clay was used as analogue material. Experiments were conducted on a fixed table, on which a basal layer of granular material was placed. A basal plate attached to a step-motor was used to simulate pure strike-slip displacements of the basal layer. Volcano growth was simulated by depositing loads of granular material on top of the basal layer from a point source. The analogue models were photographed at regular time intervals during the experiments using four digital cameras. The photographs were used to generate synthetic digital elevation models (DEMs) with 0.2 mm spatial resolution of each step of the analogue models by applying the MICMAC digital stereo-photogrammetry software. The ENVI software was used to re-sample the DEMs to a 0.5 mm spatial resolution and apply the noise-reduction Lee filter. Morphometric data were then extracted from the DEMs by applying two IDL-language algorithms: NETVOLC, used to automatically calculate the volcano edifice basal outline, and MORVOLC, used to extract a set of morphometric parameters.</p>
High resolution deformation data from the surface of a Nickel-based superalloy: Fine precipitates
<p>High resolution digital image correlation (HRDIC) and electron backscattered diffraction (EBSD) data provided that quantifies the deformation on the surface of Nickel-based superalloy with fine gamma prime precipitates (70 nm diameter) after 2% strain in tension.</p>
Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling
<p>This dataset is associated to the article "Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling " published in Seismological Research Letters (<a href="https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220200278/592607/Historical-Earthquake-Scenarios-for-the-Middle?">link</a>).</p> <p>It includes the following:</p> <ul> <li>The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik ("EAE_xxx.pdf").</li> <li>The 3D displacement signals used as input for obelisk modeling ("Displacement_xxx").</li> <li>The output obelisk displacement curves and final block shift values relative to base ("Obelisk_block_motion.pdf").</li> </ul>
An ultrasound probe array for a high-pressure, high-temperature solid medium deformation apparatus: CAD drawings
<p>CAD drawings of cooled load plate and base plate for integrating pizoelectric needle sensors. Electrical schema of heating system. Dimensional pdf drawings of sigma 1 piston for integration of pizoelectric needle sensors. Matalb code for basic 1D source localization, synchronization of triggered AE data with mechanical data and plotting of AE rate.</p>
Mechanical and hydraulic transport properties of transverse-isotropic Gneiss deformed under deep reservoir stress and pressure conditions.
<p>"This is the ReadMe file corresponding to the study entitled: "Mechanical and hydraulic transport properties of transverse-isotropic<br> Gneiss deformed under deep reservoir stress and pressure conditions" <br> <br> "By M. Acosta, & M. Violay." <br> <br> This study has been published in the International Journal of Rock Mechanics and Mining Sciences in June 2020. <br> https://doi.org/10.1016/j.ijrmms.2020.104235<br> <br> This Read-Me file has been last edited on 2020-06-31 <br> <br> This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact mateo.acosta@epfl.ch <br> <br> The following files are included: <br> <br> --- Regarding Figure 3. <br> <br> "1) ""Acosta_et_al_2020_Figure3Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.3: One experiment example<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding Figure 4. <br> <br> "1) ""Acosta_et_al_2020_Figure4Data.xlsx"" " <br> This is the processed data from the experiments described in Figure1 of the article. <br> "In this .xlsx File, each sheet corresponds to one figure panel as follows: " <br> <br> Fig.4a&g: Beta=0deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4b&h: Beta=30deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4c&i: Beta=45deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4d&j: Beta=60deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4e&k: Beta=90deg<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>Fig.4f&l: LPG<br> Column A: Axial strain in (%) ; Column B: Effective axial stress (in MPa); Column C: Axial strain for AE's in (%) ; Column D: Acoustic emission hits (in #); Column D: Axial strain for porosity change in (%) ; Column E: Porosity change (in %);</p> <p>--- Regarding all other Figures, the tables provided in the article allow reproduction of these.</p> <p> </p>
Effects of taphonomic deformation on geometric morphometric analysis of fossils: a case study using the dicynodont Diictodon feliceps (Therapsida, Anomodontia)
<p>Taphonomic deformation, the distortion of fossils as a result of geological processes, poses problems for the use of geometric morphometrics in addressing paleobiological questions. Signal from biological variation, such as ontogenetic trends and sexual dimorphism, may be lost if variation from deformation is too high. Here, we investigate the effects of taphonomic deformation on geometric morphometric analyses of the abundant, well known Permian therapsid <i>Diictodon feliceps</i>. Distorted <i>Diictodon </i>crania can be categorized into seven typical styles of deformation: lateral compression, dorsoventral compression, anteroposterior compression, 'saddle-shape' deformation (localized collapse at cranial mid-length), anterodorsal shear, anteroventral shear, and right/left shear. In simulated morphometric datasets incorporating known 'biological' signals and subjected to uniform shear, deformation was typically the main source of variance but accurate 'biological' information could be recovered in most cases. However, in empirical datasets, not only was deformation the dominant source of variance, but little structure associated with allometry and sexual dimorphism was apparent, suggesting that the more varied deformation styles suffered by actual fossils overprint biological variation. In a principal component analysis of all anomodont therapsids, deformed <i>Diictodon </i>specimens exhibit significant dispersion around the 'true' position of this taxon in morphospace based on undistorted specimens. The overall variance associated with deformation for Anomodontia as a whole is minor, and the major axes of variation in the study sample show a strong phylogenetic signal instead. Although extremely problematic for studying variation in fossil taxa at lower taxonomic levels, the cumulative effects of deformation in this study are shown to be random, and inclusion of deformed specimens in higher-level analyses of morphological disparity are warranted. Mean morphologies of distorted specimens are found to approximate the morphology of undistorted specimens, so we recommend use of species-level means in higher-level analyses when possible.</p>
Full-field numerical simulations of temperate ice viscoplastic deformation and dynamic recrystallization [Data set]
<p>This data set corresponds to the scientific article Llorens, M.-G., Griera, A., Bons, P.D., Gomez-Rivas, E., Weikusat, I., Prior, D., Kerch, J. and Lebensohn, R.A. Seismic anisotropy of temperate ice in polar ice sheets. Journal of Geophysical Research: Earth Surface.</p> <p>This data set contains (i) the output files with the crystal orientation and phase data of each simulation presented in the article (run using the open-source software platform ELLE; Bons et al., 2008; Piazolo et al., 2019), and (ii) a code to plot the crystallographic orientation density function (ODF) using the open-source code MTEX (Mainprice et al., 2015). For the visualization of seismic wave velocities the information contained in these output files can be loaded (in radians) to the software package AEH-EBSD Analysis Toolbox (Naus-Thijseen, 2011; Vel et al., 2016). The output files are provided for time steps 50 (shear strain of 1), 100 (shear strain of 2), 200 (shear strain of 4), 300 (shear strain of 6) and 400 (shear strain of 8).</p> <p>Each file has eight columns and multiple rows. Each row stores the output data for an unode of the model, and the model has 256x256 unodes. The first three columns correspond to the three Euler angles (<em>α</em>, <em>β</em>, <em>γ</em>) in degrees, the fourth and fifth column are the <em>x</em> and <em>y</em> coordinates of each unode, the sixth and seventh columns contain attributes not used in these simulations and column eight shows the phase number corresponding to each unode (1 for solid ice and 2 for water).</p> <p>Three simulations are presented and analyzed in this article, and thus their results stored in this data set:</p> <p>Simulation 1: purely solid ice (melt fraction <em>ϕ</em>=0)</p> <p>Simulation 2: ice including 5% water (melt fraction <em>ϕ</em>=5)</p> <p>Simulation 3: ice including 15% water (melt fraction <em>ϕ</em>=15)</p>
Co- and Post-seismic Crustal Deformation Associated with the 2016 Kumamoto Earthquake Sequence Revealed by PALSAR-2 Pixel Tracking and InSAR
<p>This archive includes the dataset for the co- and post-seismic displacements associated with the 2016 Kumamoto earthquake in Japan detected by ALOS-2/PALSAR-2 data. All files are formatted as the MATLAB format. ALOS-2/PALSAR-2 level 1.1 data in this study were provided from the PIXEL (PALSAR Interferometry Consortium to Study our Evolving Land Surface) under a cooperative research contract with the Earthquake Research Institute, University of Tokyo. The ownership of ALOS-2/PALSAR-2 level 1.1 data belongs to JAXA.</p> <p> </p> <p>coseismic_datav1.mat contains the original PALSAR-2 pixel tracking data and 3D displacement components. You can display 3D displacement field using "display_3Ddisp.m".</p> <p>coseismc_flocv1.mat contains the isolated displacement discontinuities in the observation data.</p> <p>postseismic_asc_v1.mat contains the PALSAR-2 original InSAR data in the ascending orbit.</p> <p>postseismic_dsc_v1.mat contains the PALSAT-2 original InSAR data in the descending orbit.</p> <p>script_acrossp_p.m generates the profiles of post-seismic displacement profile across the profile.</p> <p>script_alongp_c.m generates the profiles of co-seismic displacement along the fault.</p> <p>script_alongp_p.m generates the profiles of post-seismic displacement along the fault.</p> <p>script_quasi_def.m generates the quasi-eastwest and the quasi-vertical displacement fields.</p> <p>script_ts.m generates the time-series of line-of-sight change using the sequence of InSAR data.</p> <p>-</p> <p>display_3Ddisp.m displays 3D displacement fields using "coseismic_datav1.m".</p> <p>coseis_Fdisp.mat contains data for along-fault displacement. (Lon, Lat, vertical, stv_vertical, horizontal_alongfault, stv_horizontal_alongfault, and topography)</p> <p>display_coseis_alongdisp.m generates figures for the along-fault displacement distribution using "coseis_Fdisp.mat".</p>
Dataset and figures for "Nationwide urban ground deformation monitoring in Japan using Sentinel-1 LiCSAR products and LiCSBAS"
<p>This dataset contains the deformation data for 191 data sets and figures (LOS velocities, amplitude and time offset of the annual deformation, decomposed vertical and EW velocities, rice paddy fields, NDVI, optical images, topography, and SB network) mentioned in the paper “Nationwide urban ground deformation monitoring in Japan using Sentinel-1 LiCSAR products and LiCSBAS”</p> <p>Morishita, Y. Nationwide urban ground deformation monitoring in Japan using Sentinel-1 LiCSAR products and LiCSBAS. <em>Prog Earth Planet Sci</em> <strong>8, </strong>6 (2021). https://doi.org/10.1186/s40645-020-00402-7</p> <p>View on a web map:</p> <p>https://yumorishita.github.io/gsimaps_S1_Japan_LiCSBAS/#9/35.766572/140.038605/&base=std&base_grayscale=1&ls=std%2C0.5%7Chillshademap%2C0.5%7CallUD%7Clanduse_veg&blend=100&disp=1110&vs=c1j0h0k0l0u0t0z0r0s0m0f2&d=m</p>
Casting voids in nickel superalloy and the mechanical behaviour under room temperature tensile deformation
<p>This repository contains the original X-ray tomography data presented in the publication 'Casting voids in nickel superalloy and the mechanical behaviour under room temperature tensile deformation'.</p> <p>The XCT data were collected using Zeiss Xradia Versa 520 instrument from Henry Moseley X-ray Imaging facility at the University of Manchester. Access to the instrument was granted by Henry Royce Institute through PhD access funding scheme for Zhuocheng Xu. Data to produce Figure8 and Figure9 are also uploaded.</p>
Seismic datasets in "Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography"
<p>The Lushan seismic dataset used in the manuscript entitled 'Conjugate fault deformation revealed by aftershocks of the 2013 Mw6.6 Lushan earthquake and seismic anisotropy tomography ' submitted to Geophysical Research Letters.</p> <p> </p>
Deformation Compatibility in a Single Crystalline Ni Superalloy
<p>This CurlF raw data folder contains 9 subfolder, which are the main figures in this paper. In each subfolder a raw data and a matlab code to plot such figure are included. Readers can load the source data first into matlab and open matlab script to replicate figures in this paper.</p> <p> The variables in source matlab file are explicitly defined as shown in each the caption of each figure. Comments are added in matlab plot code to explain the structure of it.</p> <p>If Readers need further information, please feel free to contact jun.jiang@imperial.ac.uk</p>
HREBSD data set for stress fields near deformation twins
<p>HR-EBSD measurements made on a deformed Zircaloy-2 sample.</p> <p>This data set was imported into Abaqus CAE to study the effects of reorientation and shear transfer on the load sharing of twin/parent pairs using a crystal plasticity model developed by Hamidreza Abdolvand. The work and further analysis of the results is described in:</p> <p>"On the effects of reorientation and shear transfer during twin formation: comparison between high resolution electron backscatter diffraction experiments and a crystal plasticity finite element model", International Journal of Plasticity, 2016, doi:10.1016/j.ijplas.2016.05.006</p> <p> </p> <p> </p> <p>Other relevant papers:</p> <p>Abdolvand, H., Wilkinson, A. J., “Assessment of Residual Stress Fields at Deformation Twin Tips and the Surrounding Environment”, <em>Acta Materialia</em>, February 2016, Vol 105, Page 219-231, DOI: 10.1016/j.actamat.2015.11.036</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part I- In situ Three-Dimensional X-ray Diffraction Measurement”, <em>Acta Materialia</em>, July 2015, Vol 93, Page 246-255, DOI: 10.1016/j.actamat.2015.04.020</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Wright, J., Daymond, M. R., “Study of 3-D Stress Development in Parent and Twin Pairs of a Hexagonal Close-Packed Polycrystal: Part II- Crystal Plasticity Finite Element Modeling”, <em>Acta Materialia</em>, July 2015, Vol 93, Page 235-245, DOI: 10.1016/j.actamat.2015.04.025</p> <p> </p> <p>Abdolvand, H., Majkut, M., Oddershede, J., Schmidt, S., Lienert, U., Diak, B., Withers, P. J., Daymond, M. R., “On the Deformation Twinning of MgAZ31B: a Three-Dimensional X-ray Diffraction Experiment and Crystal Plasticity Finite Element Model”, <em>International Journal of Plasticity</em>, July 2015, Vol 70, Page 77-97, DOI: 10.1016/j.ijplas.2015.03.001</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., “Multi-Scale Modeling and Experimental Study of Twin Inception and Propagation in Hexagonal Close-Packed Materials Using a Crystal Plasticity Finite Element Approach; Part I: Average Behavior”, <em>Journal of The Mechanics and Physics of Solids</em>, 2013, Vol 61 (3), Page 783-802, 10.1016/j.jmps.2012.10.013</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., “Multi-Scale Modeling and Experimental Study of Twin Inception and Propagation in Hexagonal Close-Packed Materials Using a Crystal Plasticity Finite Element Approach; Part II: Local Behavior”, <em>Journal of The Mechanics and Physics of Solids</em>, 2013, Vol 61 (3), Page 803-818, DOI: 10.1016/j.jmps.2012.10.017</p> <p> </p> <p>Abdolvand, H., Daymond, M. R., Mareau, C., “Incorporation of Twinning into a Crystal Plasticity Finite Element Model: Evolution of Lattice Strains and Texture in Zircaloy-2” <em>International Journal of Plasticity</em>, 2011, Vol 27 (11), Page 1721-1738. DOI:10.1016/j.ijplas.2011.04.005</p> <p> </p> <p> </p>
Puyehue Volcano Sin-eruptive SAR deformation
<p>On June 4, 2011, Puyehue-Cordon Caulle complex began its eruptive activity. This intense eruption lasted for several months and was characterized by both effusive and explosive activities. ENVISAT ASAR sensor imaged the eruption of the volcano, and the sin-eruptive surface deformation was estimated by using Differential SAR Interferometry (DinSAR). The present dataset is the result of such estimation, and reports the SAR Line of Sight (LoS) displacement, in metres, related to the first phase of the eruption. In particular, the ASAR images used for DinSAR processing are dated May 08, 2011 and June 07, 2011. The interferogram shows a large deflating area in the Cordon Caulle section of the volcanic complex that reaches a value of -90 cm. Moreover, few centimetres of deflation are also present in the west flank of Puyehue stratocone.</p>
Ground deformation maps of the Visso and Norcia 2016 earthquakes captured from Sentinel-1 SAR
<p>The dataset contains the Line Of Sight (LOS) deformation maps obtained by applying Differential SAR Interferometry (DinSAR) to Sentinel-1 Interferometric Wide-swath (or TOPSAR) imagery.</p> <p>Two maps are provided: the first maps is the LOS deformation estimated from ascending data, the second map is the LOS deformation from descending images.</p> <p>Maps are expressed in metres and are provided in raster geotiff format.</p> <p>Data have been processed with GAMMA Interferometric processor.</p> <p>Ascending data details:</p> <p>SAR pairs are dated 2016/10/27 and 2016/11/02, acquired on relative orbit number 44, by Sentinel-1B and Sentinel-1A, respectively.</p> <p>The DEM used for removing the topographic phase is the SRTM 1 arc second. The interferogram has been generated by applying a 1x5 multi-look factor in azimuth and range, respectively.</p> <p>Final product has been geocoded in UTM WGS84 33 Nord projection, with a posting of 20 m.</p> <p>Descending data details:</p> <p>SAR pairs are dated 2016/10/26 and 2016/11/01, acquired on relative orbit number 22, by Sentinel-1B and Sentinel-1A, respectively.</p> <p>The DEM used for removing the topographic phase is the SRTM 1 arc second. The interferogram has been generated by applying a 2x10 multi-look factor in azimuth and range, respectively.</p> <p>Final product has been geocoded in UTM WGS84 33 Nord projection, with a posting of 40 m.</p>
Ground deformation maps of the Visso and Norcia (Italy) 2016 earthquakes from ALOS-2 SAR data
<p>The datasets consist of the Line of Sight (LoS) deformation maps obtained by applying Differential SAR Interferometry (DinSAR) to ALOS-2 (Strip Map acquisition mode) pairs.</p> <p>ALOS-2 is operated by the Japan Aerospace Exploration Agency (JAXA).</p> <p>Two maps were retrieved by processing data from both the ascending and descending track.</p> <p>Both the maps are in meters and provided in raster geotiff format.</p> <p>Data have been processed using the Sarscape© software.</p> <p>Ascending pair details:</p> <p>SAR images were acquired on 2016/08/24 and 2016/11/02, path 197, frame 850.</p> <p>The adopted DEM used for the topographic phase removal was the SRTM 1 arc second. The interferogram was generated by applying a 11x5 multi-look factor in azimuth and range, respectively.</p> <p>Final product were geocoded in UTM WGS84 33 Nord projection, and a final pixel size of 40 m.</p> <p>Descending pair details:</p> <p>SAR images were acquired on 2016/08/31 and 2016/11/09, path 92, frame 2750.</p> <p>The adopted DEM used for the topographic phase removal was the SRTM 1 arc second. The interferogram was generated by applying a 11x5 multi-look factor in azimuth and range, respectively.</p> <p>Final product were geocoded in UTM WGS84 33 Nord projection, and a final pixel size of 40 m.</p>
Data presented in Crustal structure and anisotropy measured by CHINArray and implications for complicated deformation mechanisms beneath the eastern Tibetan margin
<p>The dataset includes the raw waveforms and receiver functions presented in the paper Crustal structure and anisotropy measured by CHINArray and implications for complicated deformation mechanisms beneath the eastern Tibetan margin, submitted to JGR Solid Earth.</p><p>Contact: Zengsijia@cug.edu.cn</p><p> </p>
ScienceDex guides
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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.