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10,561 results for “mechanics”
Data from: Repeated clearing as a mechanism for savanna recovery following bush encroachment
<p>Many savannas are experiencing increased cover of trees and shrubs, resulting in reduced herbaceous productivity, shifts in savanna functional structure, and potential reductions in ecotourism. Clearing woody plants has been suggested as an effective management strategy to mitigate these effects and restore these systems to an open state with higher rates of grass production and herbivory. This study investigated the effectiveness of repeated shrub clearing as a tool to mitigate bush encroachment in a semi-arid savanna in Southern Africa.</p> <p>We present data from a 7-year experiment in the Mthimkhulu Game Reserve bordering Kruger National Park, South Africa. <em>Colophospermum mopane</em> stems and re-sprouting shoots were basally cut 2-3 times per year (2015-2022) in 3 pairs of treatment and control plots of 60 m x 60 m. We monitored changes in soil moisture, grass biomass, and herbivore activity via dung counts. We assessed <em>C. mopane</em> physiological responses to repeated cutting using non-structural carbohydrates and stable water isotopes to infer changes to energy storage and functional rooting depth, respectively.</p> <p>The cleared treatment had higher soil moisture and grass biomass than the control treatment. Dung counts showed impala and buffalo visited the cleared treatment more frequently than the control treatment.</p> <p>Repeated cutting had limited effects on <em>C. mopane</em> survival in the first 2-3 years after initial clearing, but 80% of individuals were dead after 7 years. Repeatedly cut <em>C. mopane</em> had lower belowground starch concentrations and used water from shallower soil depths than <em>C. mopane</em> in control plots.</p> <p><em>Synthesis and applications</em>: Repeated cutting increased soil moisture availability and grass biomass, and attracted charismatic grazing herbivores. While more costly than once-off clearing methods, this practice created more employment opportunities for a neighbouring rural community. Transforming portions of the ecosystem to a grass-dominated state may increase ecotourism potential through improved game viewing in open systems.</p>
Data associated to the manuscript "Simulating the charging mechanism of a realistic nanoporous carbon-based supercapacitor using a fully polarizable model"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Simulating the charging mechanism of a realistic nanoporous carbon-based supercapacitor using a fully polarizable model</p> <p>Camille Bacon, Patrice Simon, Mathieu Salanne and Alessandra Serva</p> <p><em>ChemRxiv, </em>10.26434/chemrxiv-2024-9577m, 2024</p> <p>The folder <em>input_files</em> contains typical MetalWalls input files used to perform the simulations.</p> <p>The folder <em>raw_data</em> contains the processed data used to plot all the figures of the paper.</p>
CESM2 Mechanically Decoupled (MD) for "Summer westerly wind intensification weakens Southern Ocean seasonal cycle under global warming" - submitted to Geophysical Research Letters
<p>CESM2 Experiment names:</p> <ul> <li>MD = mechanically decoupled model (referred to as MD in paper)</li> <li>FC = fully coupled model (referred to as FC in paper)</li> </ul> <p>Decoding file names:</p> <ul> <li>ensmean refers to ensemble mean</li> <li>trend refers to linear trend over 1950-2014</li> </ul> <p>Variables:</p> <ul> <li>SST = sea surface temperature</li> <li>HMXL = mixed layer depth</li> <li>WSPDSRFAV = horizontal total wind speed average at the surface</li> </ul>
Velocity and temperature dependence of steady-state friction of natural gouge controlled by competing healing mechanisms
<p>The empirical rate- and state-dependent friction law is widely used to explain the frictional resistance of rocks. However, the constitutive parameters vary with temperature and sliding velocity, preventing extrapolation of laboratory results to natural conditions. Here, we explain the frictional properties of natural gouge from the San Andreas Fault, Alpine Fault, and the Nankai Trough from room temperature to $\sim300^\circ$C for a wide range of slip-rates with constant constitutive parameters by invoking the competition between two healing mechanisms with different thermodynamic properties. A transition from velocity-strengthening to velocity-weakening at steady-state can be attained either by decreasing the slip-rate or by increasing temperature. Our study provides a framework to understand the physics underlying the slip-rate and state dependence of friction and the dependence of frictional properties on ambient physical conditions. </p>
Data for the publication: Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations
<p>This repository contains the data and results associated to the publication submitted entitled "Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations".</p> <p>The results and data contain:</p> <ul> <li>Raw and processed ASTER DEM time series data stored in netcdf format (<em>Hala_surges_aster**.nc</em>): </li> </ul> <ol> <li>Raw DEM stack composed of 56 ASTER DEM.</li> <li>Processed DEM stacks generated by LOWESS-ALPS-REML workflow in each step.</li> </ol> <ul> <li>Multi-temporal elevation change maps stored in geotiff format:</li> </ul> <ol> <li>multi-temporal elevation change results calculated from different DEMs during different period (<em>Hala_surges_[sensor]_[period]_dh_final.tif</em>).</li> <li>Elevation difference map of SRTM-X and SRTM-C DEMs for estimation penetration depth difference ( <br><em>strm-c_x_n37_39_e96_e98_pentration_dh_final.tif</em>)</li> </ol> <ul> <li>Flow velocity time-series result processed by TICOI package stored in netcdf format:</li> </ul> <ol> <li>Irregular-sampling time-series inverted flow velocity results, represted by pixel-wise cumulative displacements ( <br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_invert_ticoi.nc</em>)</li> <li>Regular-sampling time-series flow velocity results, interpolated to 30 days interval from the inverted results ( <br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_interp_ticoi.nc</em>)</li> </ol>
An Integrated Machine Learning Approach Delineates an Entropic Expansion Mechanism for the Binding of a Small Molecule to α-Synuclein
<p>The <a href="https://zenodo.org/uploads/14177307" target="_blank" rel="noopener noreferrer">TRAJECTORY.zip</a> contains two trajectories. One for the apo simulation (traj_mw_c4.xtc) and the other for the water simulation in .gro format (traj.gro). The run1.tpr is the binary file for running the apo simulation in gromacs. For water simulation, the raw DOSPT files are also included to calculate the entropy.</p> <p>The <a href="https://zenodo.org/uploads/14177307" target="_blank" rel="noopener noreferrer">figure_raw_data.zip</a> file contains the raw data that was used for plotting the figures in the main text and in the supplementary material.</p> <p>For any further inquiries or requests for additional data, please contact <a rel="noopener">jmondal@tifrh.res.in</a>.</p>
Effects of Grass Cover on the Overland Soil Erosion Mechanism under Simulated Rainfall
<p><span>Grass cover has a complex influence on overland soil erosion. This study quantified the impact of grass cover on overland soil erosion using a dimensionless water flow path index. It systematically analyzed the response mechanism among overland soil erosion, slope gradient, rainfall intensity, and hydrodynamic parameters, aiming to identify the optimal hydrodynamic parameters capable of characterizing overland soil erosion. A predictive model for soil erosion was constructed based on general dimensionless water flow intensity parameters, comprehensively evaluating the mechanism of soil erosion on grass-covered overland under simulated rainfall conditions. The results indicate that the model constructed using dimensionless parameters exhibits strong adaptability and can be effectively validated in other experiments.</span></p>
data supporting ''Tuning the mechanical properties of organophilic clay dispersions: Particle composition and preshear history effects''
Open the record for dataset details and reuse information.
The mechanism of amyloid fibril growth from Φ-value analysis - data and analysis repository
<p>Data used for analysis and figure production. Full MD-simulation dataset is available at https://github.com/Aunstrup/_2024_amyloid_PI3KSH3_Phivalues. </p>
HHIP's Dynamic Role in Epithelial Wound Healing Reveals a Potential Mechanism of COPD Susceptibility - Supplementary File 2
<p>This is a collection of files necessary to reproduce a subset of the results discussed in the manuscript entilted <em>HHIP’s Dynamic Role in Epithelial Wound Healing Reveals a Potential Mechanism of COPD Susceptibility</em> by Deritei et al. (currently available on bioRxiv: <a href="https://www.biorxiv.org/content/10.1101/2024.09.05.611545v2.abstract">https://www.biorxiv.org/content/10.1101/2024.09.05.611545v2.abstract</a>).</p> <p>Files are read by the <em>dynmod</em> software (<a href="https://github.com/Ravasz-Regan-Group/dynmod">https://github.com/Ravasz-Regan-Group/dynmod</a>) to simulate the large Boolean model’s behaviors. These include the model in .dmms format (as well as .BooleanNet and .SBML formats, namely COPD_EMT_CellCycle_Apoptosis.dmms, COPD_EMT_CellCycle_Apoptosis_Fine.booleannet, the “in silico protocol” files for reproducing all figures (COPD_Figures.vex), re-running the validation experiments (Validation_Table_COPD_EMT_CellCycle_Apoptosis.vex) and running a python script that performs all validation statistical tests, generating a results list and regenerating Supplementary File 3 (Large Model Validation Script.py, ST5 - Large model validation.csv).</p> <p>The _EXP folder contains exported figures necessary for generating the main manuscript Figure 4 and Supplementary Figures 3,4 and 5.</p> <p> </p>
Mechanical Metamaterial: Square Array of Circular Holes Under Deformation
<p>This repository contains data for a research project involving graph neural networks (GNNs) applied to mechanical metamaterials and their deformations. </p> <p>The mechanical metamaterials of interest consist of a flexible rubber-like material with a square grid of almost-circular holes in it, of various diameters. The holes are not quite circular, because they were made slightly elliptic to avoid the bifurcation point.</p> <p>This data was used to obtain the results in the paper 'Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials'.</p> <p>The data includes PyTorch Geometric Graph objects, raw data from MATLAB simulations, and files describing the finite element mesh. The Jupyter notebook 'data_create_graphs.ipynb' in the GitHub repository can be used to turn the raw data and mesh information into the graph objects.</p> <p>GitHub repository with the code: <a title="https://github.com/FHendriks11/SimEGNN" href="https://github.com/FHendriks11/SimEGNN">https://github.com/FHendriks11/SimEGNN</a></p> <p>Link to the corresponding paper <em>Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials</em>: <a href="https://www.sciencedirect.com/science/article/pii/S0045782525001392">https://www.sciencedirect.com/science/article/pii/S0045782525001392</a> (also on ArXiv: <a title="https://arxiv.org/abs/2404.17365" href="https://arxiv.org/abs/2404.17365">https://arxiv.org/abs/2404.17365</a>)</p> <p>The .pkl files are pickle files and can be opened in Python using the standard pickle library. The mesh files, which have the extension .mat, are MatLab files and can be opened either in MatLab or in Python using scipy.io.loadmat from the scipy library.</p>
Transcriptomic Analysis Data for MSTN Mutations and Mechanisms of Muscle Hypertrophy in a New Guinea Pig Breed
<p>This dataset contains raw RNA-seq data from six guinea pig muscle samples, split into two groups:</p> <ul> <li><strong>Native guinea pigs (B1 to B3):</strong> Control group with no selective breeding.</li> <li><strong>Kuri breed guinea pigs (B4 to B6):</strong> Synthetic hybrid group selectively bred for increased muscle mass.<br>Each sample has paired-end FASTQ files (e.g., B1_1.fq.gz and B1_2.fq.gz).</li> </ul>
Understanding the Nitrogen Reduction Reaction Mechanism on CuFeO2 Photocathodes
<p>This is a data set for the corresponding research article. It provides the necessary input files and optimized geometries to reproduce or extend this data set. The folders are uploaded on GitLab (project ID: 62597469). There are two versions one is for windows users (.zip) and the other for Linux users (*.tar.gz). Information on how to navigate through the folder structure is described in the README.md file in the dataset folder.</p> <p>The work was funded by the DFG through the priority program SPP-2370 (project id 502202153) and project 501805371, and through the collaborative research center SFB-1316 (project 327886311). </p> <p>Further questions or remarks can be sent to this dataset's creator (julian.bessner@uni-ulm.de).</p>
The genetic mechanism of B chromosome drive in rye illuminated by chromosomescale assembly
<p>Figures, tables and supplementary data from the paper: The genetic mechanism of B chromosome drive in rye illuminated by chromosomescale assembly<br><br>Abstract: The genomes of many plants, animals, and fungi frequently comprise dispensable B chromosomes that rely upon various chromosomal drive mechanisms to counteract the tendency of non-essential genetic elements to be purged over time. The B chromosome of rye – a model system for nearly a century – undergoes targeted nondisjunction during first pollen mitosis, favouring segregation into the generative nucleus, thus increasing their numbers over generations. However, the genetic mechanisms underlying this process are poorly understood. Here, using a newly-assembled, ~430Mb-long rye B chromosome pseudomolecule, we identify five candidate genes whose role as trans-acting moderators of the chromosomal drive is supported by karyotyping, chromosome drive analysis and comparative RNA-seq. Among them, we identify DCR28, coding a microtubule-associated protein related to cell division, and detect this gene also in the B chromosome of Aegilops speltoides. The DCR28 gene family is neo-functionalised and serially-duplicated with 15 B chromosome-located copies that are uniquely highly expressed in the first pollen mitosis of rye.</p>
Supplementary Data for "Epigenetic mechanisms controlling human leukemia stem cells and therapy resistance"
<p><strong>We performed functional genomic profiling of diverse leukemias using label tracing techniques. We identified AML stem cell quiescence is defined by distinct promoter-centered chromatin and gene expression dynamics, and controlled by a novel transcription factor network, which is associated with disease persistence and chemotherapy resistance in multiple patients. </strong></p>
Raw data to: Biochemical Analyses of Cystatin-C Dimers and Cathepsin-B reveals a Trypsin-Driven Feedback Mechanism in Acute Pancreatitis
<p>This repository contains the initial structures, full conformational ensembles sampled using the TIGER2hPE replica-exchange MD simulation technique, and clusters resulting from subsequent ccPCA analysis, to extract major complex structures between proteins. Also attached are the initial structures of mCTSB and mCST3 predicted by AlphaFold2.</p> <table> <tbody> <tr> <td> <p><strong>Simulation Nr.</strong></p> </td> <td> <p><strong>Components simulated<br></strong></p> </td> </tr> <tr> <td> <p><strong>1</strong></p> </td> <td> <p>CTSB</p> </td> </tr> <tr> <td> <p><strong>2</strong></p> </td> <td> <p>CTSB</p> </td> </tr> <tr> <td> <p><strong>3</strong></p> </td> <td> <p>CTSB + mCST3</p> </td> </tr> <tr> <td> <p><strong>4</strong></p> </td> <td> <p>CTSL + mCST3</p> </td> </tr> <tr> <td> <p><strong>5</strong></p> </td> <td> <p>CTSB + mCST3-R71</p> </td> </tr> <tr> <td> <p><strong>6</strong></p> </td> <td> <p>CTSB + mCST3-R45</p> </td> </tr> <tr> <td> <p><strong>7</strong></p> </td> <td> <p>CTSB + dCST3-R45</p> </td> </tr> <tr> <td> <p><strong>8</strong></p> </td> <td> <p>CTSB + dCST3-R28</p> </td> </tr> </tbody> </table>
All-atom simulations elucidate the molecular mechanism underlying RNA-membrane interactions
<p>Topology files and frames extracted from the minimum of the free energy profile F(d_z) (or F(d_min) for single-stranded RNAs), within 2.5kBT. These files can be used to reproduce the hydrogen bond analyses in the manuscript.</p> <p>Scripts which were used to extract hydrogen bond information are available on <a href="https://github.com/salvatoredimarco/rna-membrane">https://github.com/salvatoredimarco/rna-membrane</a></p> <p><strong>Systems:</strong></p> <p>4xN: nucleosides</p> <p>4xN2: dinucleotides</p> <p>4xN3: trinucleotides</p> <p>4xN_OPC: nucleosides simulated with OPC water model. Energy threshold is here 1.0*kBT, because of weaker binding.</p> <p>1xGA, 1xGU, 1xGC, 1xCU</p> <p>1xGGC, 1xGCG</p> <p>1xquadruplex: G-quadruplex</p> <p>1xstrand: 19-mer RNA strand</p> <p>1xhairpin: 16-mer folded hairpin</p> <p>1x16mer_elong: 16-mer unfolded, restrained</p> <p>2x16mer_loose1/2: 16-mer unfolded, unrestrained</p>
Raw data collection for the publication P. Pötschke, T. Villmow, B. Krause and B. Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites
<p>This data collection contains the raw data for the publication <br>Petra Pötschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p> <p>The data are sorted according to the figures and tables in which they are used.</p> <p>The description in Table 1 is taken from the reference:<br>Villmow, T.; Kretzschmar, B.; Pötschke, P. Influence of screw configuration, residence time, <br>and specific mechanical energy in twin-screw extrusion of polycaprolactone/multi-walled carbon nanotube composites. Compos. Sci. Technol. 2010, 70, 2045-2055. doi: https://doi.org/10.1016/j.compscitech.2010.07.021.</p> <p>Figure 15 is adapted from the references:<br>Krause, B.; Boldt, R.; Pötschke, P. A method for determination of length distributions of multiwalled carbon nanotubes before and after melt processing. Carbon 2011, 49, 1243-1247, https://doi:10.1016/j.carbon.2010.11.042.<br>and<br>Liebscher, M.; Domurath, J.; Krause, B.; Saphiannikova, M.; Heinrich, G.; Pötschke, P. Electrical and melt rheological characterization of PC and co-continuous PC/SAN blends filled with CNTs: Relationship between melt-mixing parameters, filler dispersion, and filler aspect ratio. Journal of Polymer Science Part B: Polymer Physics 2018, 56, 79-88, https://doi:10.1002/polb.24515.<br>The data are reused with permissions. </p> <p>The raw data (TEM images) used for the calculation of the carbon nanotube length distributions and mean carbon nanotube length values shown in Figs. 4, 11, 13, 16, and 17 are publically available at: Krause, B. (2024). Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11400466</p> <p>Version v2:</p> <p>Compared to the submitted figure, in the final version in<strong> Fig. 9 </strong>the sample using the side feeder (PC-H-05) was removed and two samples extruded at 15 kg/h and 750 rpm (PC-H-25) and 1000 rpm (PC-H-26) were added. In the text-file the unit of GPa for the elastic modulus was corrected to MPa. </p> <p>Compared to the submitted Table, in the final version of <strong>Table 2 </strong>the electrical resistivity values were given in more detail including the standard deviation. The column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.</p> <p>Compared to the submitted Table, in the final version of <strong>Table 3</strong> the column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.The title of the first column was set to "screw" instead of "feeding". </p>
Data presented in Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog
<p>The dataset includes thewaveform data required for source mechanism inversion presented in the paper Stress regimes and dynamic implications of the southeastern margin of the Tibetan Plateau: Insights from a refined focal mechanism catalog</p>
Phylogenetic α- and β-diversities jointly reveal leaf-litter ant community assembly mechanisms along a tropical elevational gradient
<p>This study was conducted along the eastern slope of the Cofre de Perote mountain, in Veracruz, Mexico. This region is located at the junction of the Trans-Mexican volcanic belt and the Sierra Madre Oriental. We selected eight study sites spanning an elevational gradient of 3500 meters of altitude. Regardless of the geographical distance, all sites were systematically separated with an elevational difference of 500 meters on average between each other. We placed our study sites at the following elevations above sea level: 30-50 m, 610-670 m, 900-1010 m, 1470-1650 m, 2020-2230 m, 2470-2600 m, 3070-3160 m and 3480-3540 m, however, for simplicity, we will refer to each site as discrete units (i.e. 0, 600, 1000, 1500, 2100, 2500, 3100, 3500 m).</p> <p>Sampling sites were old-growth forests characterized by no obvious forest use and highly dominance of mature forests, except in the case of the lowest site (i.e., La Mancha), where most of its original vegetation has been transformed. To overcome the effect of perturbation in the studied patterns, we sampled La Mancha in a secondary forest with up to 30 years of regeneration. All sampling sites were closed-canopy forests in which a leaf-litter layer could be guaranteed. During the rainy season (July-September) of 2018 one 300-m transversal transect was located at each one of the eight study locations where we established 10 equidistantly sampling points (i.e., 30 meters between each other). Two independent 1-m2 samples were taken perpendicularly to each sampling point: one 10 meters on the right side and the other 10 meters from the left side. This procedure was repeated in a second transect placed during the dry season (March-May) of 2019 to increase community characterization as well as reduce any seasonality effect on our diversity patterns. Transects within an elevational site were separated at least 1 km away from each other. Thus, we obtained 320 m<sup>2</sup> leaf-litter samples characterized the whole mountain (8 study sites x 20 m<sup>2 </sup>per transect x 2 transects = 320 m<sup>2</sup>). In each 1-m<sup>2</sup> quadrat, we collected the leaf litter inside and sifted it through a coarse mesh screen of 1-cm grid size to remove the largest fragments and concentrate the fine litter. The concentrated fine litter from each sample was suspended in independent mini-Winkler sacks for 3 days in the laboratory. Falling arthropods were collected into a container with 95% ethanol. Ant workers were removed from each container for identification. When possible, specimens were identified at the species level. If not, we assigned a morphospecies number.</p> <p> </p> <p><strong>Phylogenetic tree constructions</strong></p> <p>Ideally, one would use a complete, species-level phylogeny of all ant species present in your study area to calculate phylogenetic diversity, yet our current understanding of ant relationships is still limited. As an alternative, we built a genus-level phylogeny based on the tree by Moreau & Bell, (2013), but using the phylogenetic relationships and divergence times within Myrmicinae from Ward et al. (2015). This phylogeny was then pruned to keep only a single species per genus to generate a genus-level phylogeny. To maximize taxonomic coverage, we replaced genera that were missing from those studies by closely-related lineages that were not present in our dataset using other phylogenetic studies (Borowiec, 2016; Lapolla et al., 2010; Schmidt & Shattuck, 2014). We then used the list of species (Supporting Information Table S1) in our dataset to simulate a species-level phylogeny in which the relationships within genera were obtained from a Yule (pure-birth) process using the <em>genus.to.species.tree</em> function in the “phytools” package (Revell, 2012). A total of 1000 simulated trees were obtained to account for phylogenetic uncertainty [see Arnan et al. (2018) and Divieso et al. (2020) for similar approach]. Additionally, we constructed a maximum clade credibility tree (hereafter MCC tree) which was used to summarize the uncertainty of the 1000 simulated trees. The MCC tree was constructed from the sample of the 1000 trees with the <em>maxCladeCred</em> function incorporated in the “ape” package (Paradis et al., 2019). Both the 1000 hypothetical trees and the MCC tree were used in downstream analyses (Supporting Information Fig. 1).</p>
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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.
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.