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478 results for “3D data”
Data set for: Toggle-like current-induced Bloch point dynamics of 3D skyrmion strings in a room-temperature nanowire
<p>This data set contains both the experimental data and the simulation scripts to reproduce the results of [1]: <em>Toggle-like current-induced Bloch point dynamics of 3D skyrmion strings in a room-temperature nanowire</em> by M. T. Birch, D. Cortés-Ortuño, K. Litzius, S. Wintz, F. Schulz, M. Weigand, A. Štefančič, D. Mayoh, G. Balakrishnan, P.D. Hatton, G. Schütz. A preprint of this publication is available at <a href="https://www.researchsquare.com/article/rs-1235546/v1">https://www.researchsquare.com/article/rs-1235546/v1</a>.</p> <p>This data set is also hosted in Github: <a href="https://github.com/davidcortesortuno/paper-2022_toggle-like_current_induced_bp_dynamics_3d_skyrmion_strings">https://github.com/davidcortesortuno/paper-2022_toggle-like_current_induced_bp_dynamics_3d_skyrmion_strings</a></p> <p>If you find this material useful please cite us</p> <pre><code>@Misc{Birch2022, author = {M. T. Birch and D. Cort\'es-Ortu\~no}, title = {{Data set for: Toggle-like current-induced Bloch point dynamics of 3D skyrmion strings in a room-temperature nanowire}}, howpublished = {Zenodo \url{doi:10.5281/zenodo.6393340}. Github: \url{https://github.com/davidcortesortuno/paper-2022_toggle-like_current_induced_bp_dynamics_3d_skyrmion_strings}}, year = {2022}, doi = {10.5281/zenodo.6393340}, url = {https://doi.org/10.5281/zenodo.6393340}, }</code></pre> <p> </p>
IGM Population of HFF structures using Hi-C, laminB1 DamID, 3D HIPMAp FISH and single cell SPRITE data
<p>This repository accompanies the manuscript "<strong>Integrative Genome Modeling Platform reveals essentiality of rare contact events in 3D genome organizations</strong>", to appear in Nat. Methods (2022), see also https://www.biorxiv.org/content/10.1101/2021.08.22.457288v1.</p> <p>It contains the preprocessed input data files (Hi-C, laminB1 DamID, 3D HIPMAp FISH and single cell SPRITE) for the HFF fibroblast cell line to be used in the Integrative Genome Modeling platform (IGM) developed in the Alber lab at UCLA (https://github.com/alberlab/igm).</p> <p>Also, we provide the configuration file to run IGM with those datasets, as we did in generating the HDSF population discussed in the accompanying manuscript. Such population is also provided as an "hss" file. Documentation and a simple demo/tutorial on how IGM can be run is given on the Alber lab Github @ https://github.com/alberlab/igm.</p> <p>All files can be read in using the <em>h5py</em> and <em>alabtools</em> (available @https://github.com/alberlab/alabtools) Python packages. More detailed information is provided in the manuscript and associated Supplementary Information file. </p> <p>For any inquiry/suggestions/doubts please reach out to Lorenzo Boninsegna (bonimba@g.ucla.edu) or Dr. Frank Alber (falber@g.ucla.edu).</p> <p> </p>
Scan files, 3D reconstructions, data spreadsheet and supplementary files for Heterochrony and parallel evolution of echinoderm, hemichordate and cephalochordate internal bars
<p><span>Deuterostomes comprise three phyla with radically different body plans. Phylogenetic bracketing of the living deuterostome clades suggests the latest common ancestor of echinoderms, hemichordates and chordates was a bilaterally symmetrical worm with pharyngeal openings, with these characters lost in echinoderms. Early fossil echinoderms with pharyngeal openings have been described, but their interpretation is highly controversial. Here, we critically evaluate the evidence for pharyngeal structures (gill bars) in the extinct stylophoran echinoderms <em>Lagynocystis pyramidalis</em> and <em>Jaekelocarpus oklahomensis</em> using virtual models based on high-resolution X-ray tomography scans of three-dimensionally preserved fossil specimens. Multivariate analyses of the size, spacing and arrangement of the internal bars in these fossils indicate they are substantially more similar to gill bars in modern enteropneust hemichordates and cephalochordates than to other internal bar-like structures in fossil blastozoan echinoderms. The close similarity between the internal bars of the stylophorans <em>L. pyramidalis</em> and <em>J. oklahomensis</em> and the gill bars of extant chordates and hemichordates is strong evidence for their homology. Differences between these internal bars and bar-like elements of the respiratory systems in blastozoans suggest these structures might have arisen through parallel evolution across deuterostomes, perhaps underpinned by a common developmental genetic mechanism.</span></p>
Correlative 3D SBFSEM data from: Intermittent bulk release of human cytomegalovirus
<p>Human Cytomegalovirus (HCMV) can infect a variety of cell types by using virions of varying glycoprotein compositions. It is still unclear how this diversity is generated, but spatio-temporally separated envelopment and egress pathways might play a role. So far, one egress pathway has been described in which HCMV particles are individually enveloped into small vesicles and are subsequently exocytosed continuously. However, some studies have also found enveloped virus particles inside multivesicular structures but could not link them to productive egress or degradation pathways.<br>We used a novel 3D-CLEM workflow allowing us to investigate these structures in HCMV morphogenesis and egress at high spatio-temporal resolution. We found that multiple envelopment events occurred at individual vesicles leading to multiviral bodies (MViBs), which subsequently traversed the cytoplasm to release virions as intermittent bulk pulses at the plasma membrane to form extracellular virus accumulations (EVAs). Our data support the existence of a novel bona fide HCMV egress pathway, which opens the gate to evaluate divergent egress pathways in generating virion diversity.</p>
Data for "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study"
<p>Datasets underlying the analysis of the paper: "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study"</p> <p>This upload includes the following:</p> <ul> <li><strong>data_study.csv </strong>: contains socio-demographic, health- and lifestyle factors, and body scan variables of each participant</li> <li><strong>healthscore.csv</strong> : contains the "healthy score" from the food frequency questions calculated from from five food categories: fruits, vegetables, wholegrain products, meat, and sweet/salty snacks. For each category the officially recommended minimum or maximum amount of weekly intake was used as the cut-off value and a point was assigned if the recommendation was met. A score from 0 to 5 was built to reflect the overall healthiness of the diet.</li> </ul>
Data repository for "3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand"
<p>This data repository includes supplementary files used in the accompanying manuscript: </p> <p>Delano, J. E, Howell, A., Stahl, T. A., Clark, K. (<em>submitted 2022</em>). 3D coseismic surface displacements from historical aerial photographs of the 1987 Edgecumbe earthquake, New Zealand. Journal of Geophysical Research: Solid Earth.</p> <p>Contents:</p> <ol> <li>Supplementary Text S1, containing additional methods and discussion</li> <li>Supplementary Figures S1-S9</li> <li>Supplementary Tables S1-S6 </li> <li>Raster files (TIFF) of SfM results and differenced DSM</li> <li>Raster files of orthophoto mosaics (pre- and post-earthquake)</li> <li>Shapefiles containing fault trace mapping and displacement locations</li> </ol> <p>See README for individual file descriptions.</p>
Sample 3D image data from RIMS method for image analysis code demo
<p>Sample 3D image data from RIMS method applied to mechanical test on hydrogel sphere packings, to be used in image analysis code demo as demonstrated in the ALERT Geomechanics doctoral school 2022. The data is a small subset from a larger set of data as found on Dryad via 10.5061/dryad.6djh9w0x8 and is separated here on Zenodo to make the subset more machine-readable.</p>
"Chirality and accurate structure models by exploiting dynamical effects in continuous-rotation 3D ED data". Raw data and JANA refinement files.
<p><strong>Chirality and accurate structure models by exploiting dynamical effects in continuous-rotation 3D ED data</strong><br> 3D ED data sets of 5 compounds and JANA refinement files of 12 compounds</p> <p><strong>Relevant tools</strong><strong>:</strong></p> <ul> <li>PETS2: data reduction and analysis of electron diffraction patterns <ul> <li>Download program and access step-by-step tutorials at <a href="http://pets.fzu.cz/">http://pets.fzu.cz/</a></li> <li>Palatinus, L. <em>et al.</em> Specifics of the data processing of precession electron diffraction tomography data and their implementation in the program PETS2.0. <em>Acta Cryst. B</em><strong>75</strong>, 512–522 (2019). <a href="https://doi.org/10.1107/S2052520619007534">DOI: 10.1107/S2052520619007534</a></li> </ul> </li> <li>JANA2006: crystal structure model refinement program <ul> <li>Download program from <a href="http://jana.fzu.cz/">http://jana.fzu.cz/</a> and access step-by-step tutorials at <a href="http://pets.fzu.cz/">http://pets.fzu.cz/</a></li> <li>Results here were obtained with JANA2006. We recommend using JANA2020.</li> <li>Petricek, V., Dusek, M. & Palatinus, L. Crystallographic Computing System JANA2006: General features. <em>Z. Kristallogr.</em> <strong>229</strong>, 345–352 (2014). <a href="https://doi.org/10.1515/zkri-2014-1737">DOI: 10.1515/zkri-2014-1737</a></li> </ul> </li> <li>DYNGO: Bloch wave program, calculates dynamical diffraction intensities and derivatives <ul> <li>Program automatically included in JANA2006/JANA2020</li> <li>Palatinus, L., Petříček, V. & Corrêa, C. A. Structure refinement using precession electron diffraction tomography and dynamical diffraction: theory and implementation. <em>Acta Cryst. A</em><strong>71</strong>, 235–244 (2015). <a href="https://doi.org/10.1107/S2053273315001266">DOI: 10.1107/S2053273315001266</a></li> </ul> </li> </ul> <p><strong>3D ED data sets:</strong></p> <p>STW_HPM-1 (RT) was measured on a JEOL JEM-2100-LaB6 and diffraction patterns were recorded with an ASI Timepix detector. Another sample of STW_HPM-1 was measured at a temperature of 100 K after cryotransfer with a Titan Krios (CETA-D detector). The other data sets were measured on an FEI Tecnai G2 20 (Olympus SIS Veleta, CCD). Each data set contains the raw diffraction patterns (*.tif) and the basic input files needed to reproduce the data reduction with PETS2 as used in the associated publication (*.pts2, *.celllist, *.cenloc). Step-by-step tutorials are provided for quartz and glycine (and selected steps for abiraterone acetate) at <a href="http://pets.fzu.cz/">http://pets.fzu.cz/</a>.</p> <ul> <li>α-quartz, stepwise continuous-rotation and precession-assisted (2 data sets from the same crystal)</li> <li>natrolite, stepwise continuous-rotation and precession-assisted (2 data sets from the same crystal)</li> <li>cobalt aluminophosphate (CAP), static ED patterns recorded in 0.1° steps (3 data sets from 2 crystals)</li> <li>abiraterone acetate, stepwise continous-rotation (5 data sets from 5 crystals)</li> <li>STW_HPM-1, continuous-rotation (1 data set, room temperature)</li> <li>STW_HPM-1, continuous-rotation (1 data set, <em>T</em> = 100 K, cryotransfer)</li> </ul> <p><strong>JANA refinement and CIF files:</strong></p> <p>CIF (Crystallographic Information Framework) files include two data items. The first is related to the dynamical and the second to the kinematical refinement. Relevant parameters and statistics specific for dynamical refinement are found in the field _refine_special_details.</p> <p>JANA files are provided for the dynamical and kinematical refinement at the stage after the final refinement cycle together with the original input files generated by PETS2. For quartz and natrolite, relevant files for the refinements against precession-assisted 3D ED data are included. For abiraterone acetate and limaspermidine, relevant files for the absolute structure determination are included.</p> <ul> <li>α-quartz</li> <li>albite</li> <li>mordenite</li> <li>natrolite</li> <li>STW_HPM-1</li> <li>cobalt aluminophosphate (CAP)</li> <li>CAU-36</li> <li>α-glycine</li> <li>carbamazepine</li> <li>(+)-limaspermidine</li> <li>abiraterone acetate</li> <li>MBBF4</li> </ul> <p>For the kinematical refinements based on more than one data set, the self-written tool "CompInt" (unpublished) was used. The tool can be found in the file "tool_scalehkl_compint.zip". Input (*.hkl, *.compint) and output files (*.scalehkl) are provided in the respective folder with the JANA files.</p> <p>Raw data sources of other data sets relevant for the associated publication are given in the SI of the associated publication.</p>
Detecting anomalies in melt-extruded 3D printed parts using in situ data
<p>The data in this repository was gathered from a study to collect real-time, in situ data from polymer melt extrusion (ME) 3D printing, using a set of sensors to non-destructively identfy printed parts that contain defects. The data underwent variance analysis to determine an "acceptable" range of filament diameters and non-destructivley identify spatial regions of printed cylinders in multi-part builds that contain defects.</p> <p>The data consists of two folders and a log meant to track procedural adherence for each cylinder printed, the introduced defects, or lack thereof, and the pressurization of the part. The "Final Build Logs" spreadsheet contains information regarding the two locations of the deformations along the 56 meters of filament needed to have no more than three anomalous cylinders out of the six printed cylinders, the date of the applied deformations to the filament, the initials of the researcher applying the deformations, the date that the build was printed along with the initials of the researcher who printed it, the part number, researcher initials, and date of the pressurization test for each cylinder within the build, and a comment describing any deviations from the procedure that play into the random error of the statistical analysis for each cylinder. </p> <p>The "Pressure Test Data" folder contains a folder for each build. Within these folders are .tdms files containing metadata on the measurement system in the header and tab-delimeted values for the columns. The columns of interest to the study are X_Value, representing time elapsed, and pressure, which we evaluated on the values' exponential decay rate. The files also contain supplemental information such as a column for temperature (celsius), and the flow rate (SLPM Normalized). The "Build Data" folder contains in situ data from the sensor-equipped printer in a .csv file, the STL file for the build, the gcode file from the applied slicer settings, the AMRP file stores printer settings, and a .pdf file for the setup specifications.</p>
Data for "Antiferromagnetic phase transition in a 3D fermionic Hubbard model"
<p>This dataset is for research article "Antiferromagnetic phase transition in a 3D fermionic Hubbard model".</p>
Data and code for 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality
<p>This repository contains data and code for</p> <p>Lento B., Segas E., Leconte V., Doat E., Danion F., Péteri R., Benois-Pineau J., de Rugy A. (2024). <strong>3D-</strong><strong>ARM</strong><strong>-Gaze</strong><strong>: a </strong><strong>public </strong><strong>dataset of </strong><strong>3D </strong><strong>A</strong><strong>rm </strong><strong>R</strong><strong>eaching </strong><strong>M</strong><strong>ovements</strong><strong> </strong><strong>with Gaze information</strong><strong> </strong><strong>in </strong><strong>virtual reality</strong><strong>. </strong>doi:</p> <p>It contains a dataset <strong>(DBAS22_DataOnline </strong>folder) of natural arm movements together with visual and gaze information when reaching objects in a wide reachable space from a precisely controlled, comfortably seated posture. More details could be find in the link publication (see Related identifiers section).</p> <p>The <strong>DBAS22_DocOnline</strong> folder contains all the documentation files. The <strong>MainDataExplained </strong>file lists and describes the variables recorded during the experimental phases. In the <strong>SummaryOfFiles </strong>document, you will find descriptions for all the files within the <strong>DBAS22_DataOnline</strong> folder, and at the bottom, there is also a file tree that illustrates the file structure. The <strong>DBAS22FilesWorkflow </strong>document offers an overview of the workflow of experimental file creation during the experiment.</p> <p>The <strong>DBAS22_CodeOnline</strong> folder contains all the scripts to perform data analysis, listed and described in the files <strong>CodeExplanations </strong>and <strong>DependenciesRelations</strong>. The <strong>GuideInstall </strong>file contains information needed to run the Python code files.</p> <p>The <strong>DBAS22_CodeOnline</strong> folder also contains the DataPlayer Unity project. Instructions for running the project are provided in the <strong>DataPlayerGuide </strong>file and SupplementaryVideo2 (see Related identifiers section for more details). The folder <strong>DBAS22_DataPlayer_StandAloneApp </strong>contains the standalone version of the DataPlayer, which doesn't require any software installation.</p> <p>The <strong>DBAS22_VideoOnline</strong> folder contains all the videos. </p>
A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn: simulation data
<p>This data set contains all set-up files and necessary scripts to run the simulations performed in the publication <a href="https://doi.org/10.1007/s11044-024-09992-2" target="_blank" rel="noopener">"A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn"</a>, published in Multibody System Dynamics.</p>
3D Laser Scanning Data: Public Square in Murcia and Engineering Laboratory at the University of Alicante
<p>This dataset includes 3D terrestrial laser scans obtained using the Leica C10 ScanStation. The data covers two distinct scenarios:</p> <ol> <li> <p><strong>Public Square in Murcia Capital</strong>: This dataset includes two scan positions within a public square located in Murcia. Three HDTarget markers were placed, and their center or vertex coordinates are provided in the accompanying _vertices.txt file. The scans were conducted with the laser scanner leveled, but they are not registered.</p> </li> <li> <p><strong>Engineering Laboratory at the University of Alicante</strong>: This dataset consists of two scans of the Ground Engineering Laboratory at the University of Alicante. The scans were conducted with the same leveled laser scanner, and no targets were used. Between the two scans, some elements in the laboratory were slightly moved, which can be identified by comparing the point clouds.</p> </li> </ol>
3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.
<p>3D models and raw data for the "Photogrammetric 3D modelling and experimental archaeology reveals new technological insights into engraved soapstone sinker production in Western Norway (6400-3300 cal. BC)" paper, Radchenko et al. in prep.</p> <p>5 models of soapstone sinkers and 5 models of experimentally produced objects.</p>
Regional Moment Tensor Catalog (Declustered-Shallow Depth) for Northern Banda Arc Region-Indonesia (2009 to 2020) with Additional 3D Synthetic Data
<p>This dataset is produced using an innovative automated procedure that enhances the accuracy and reliability of moment tensor solutions, as described in Halauwet et al. (2024). The dataset includes RMT solutions for the period from 2009 to 2020 in the Northern Banda Arc Region. Additionally, synthetic data, test results and setup files used in the testing and validation of this procedure are included.<br><br>When using this data, please cite the following references:</p> <ul> <li>Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., Regional moment tensor catalog (declustered-shallow depth) for northern Banda Arc region-Indonesia (2009 to 2020) with additional 3D synthetic data [Data set]. <em>Zenodo</em>, 2024;, <a href="https://doi.org/10.5281/zenodo.10212539">https://doi.org/10.5281/zenodo.10212539</a></li> <li>Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework, <em>Geophysical Journal International</em>, 2024;, ggae309, <a href="https://doi.org/10.1093/gji/ggae309">https://doi.org/10.1093/gji/ggae309</a></li> </ul> <p>Email: yehezkiel.halauwet@bmkg.go.id</p>
Spatially Coherent 3D Distributions of HI and CO in the Milky Way - Data Products
<p>Data products from the joint reconstruction of Galactic HI and H2 (via CO).</p> <h3>Primary data products:</h3> <p>These are the posterior samples of the <strong>"densities"</strong> (HI and H2) in cm^-3 and <strong>"auxiliary"</strong> fields (i.e. the three components of the Galactic velocity field and the two spatially resolved line-widths) in km/s on our Sun-centered HEALPix-times-radius grid. These files also contain two tables with the centres and edges of the pixelisation in radial direction. The nearest (farthest) bin is at approximately 50 pc (28 kpc). The HEALPix dimension is ordered using the "nested" scheme.</p> <ul> <li><em>samples_densities_hpixr.fits </em></li> <li><em>samples_auxiliary_hpixr.fits</em></li> </ul> <h3>Interpolated to a regular grid:</h3> <p>For convenience, we also provide versions linearly interpolated to regular, Cartesian grids. Due to the strongly inhomogeneous original numerical grid, these interpolated versions contain regions of significant over/undersampling. To mitigate this a little, we provide a <strong>"local"</strong> (800 x 800 x 320 grid points with -1.25 kpc < x < 1.25 kpc, -1.25 kpc < y < 1.25 kpc and -0.5 kpc < z < 0.5 kpc) and a <strong>"global"</strong> (1250 x 1250 x 125 grid points with -12 kpc < x < 28 kpc, -20 kpc < y < 20 kpc, -2 kpc < z < 2 kpc) version. The origin (0,0,0) is defined by the position of the Sun and positive x points towards the Galactic centre.</p> <p>In an attempt to keep the file sizes reasonable, we provide the mean and standard deviation of each field instead of all eight individual samples.</p> <ul> <li><em>mean_std_densities_xyz_global.fits</em></li> <li><em>mean_std_densities_xyz_local.fits</em></li> <li><em>mean_std_auxiliary_xyz_global.fits</em></li> <li><em>mean_std_auxiliary_xyz_local.fits</em></li> </ul>
FIGURE 3. 3D in Description of contents of unopened bamboo corsets and crates from Quarry Ig/WJ of the Tendaguru locality (Late Jurassic, Tanzania, East Africa) as revealed by medical CT data and the potential of this data under paleontological and historical aspects
FIGURE 3. 3D visualization images of containers, showing different content types, link to corresponding movies. A) "Ig88", clay jackets and bones; B) "Ig_2011_5", crate with an accumulation of vertebrae and some other bones. Scale bars in A) and B) are 50 mm. "Ig_NN6", tin cans and small bones in bamboo corset, 3D MIP videos, C) with bamboo corset and surface visualized, D) with content of tin cans visualized. Scale bars in C) and D) are 100 mm. Abbreviations: bc, 3D visualized bamboo corset; bf, bone fragment; clvc, cluster of vertebral centra; clj, clay jacket; tc, tin can; vc, vertebral corpus. Videos of A), B), C) and D) available at the PE You Tube channel (https://www.youtube.com/channel/UCF6IBDiGbut- DrVada60Izyg).
3D data snapshot from a radiative particle-in-cell simulation of plasma turbulence
<p>A full 3D data snapshot of plasma turbulence as simulated by the Runko particle-in-cell code. The data is visualized in Fig. 3 of Nättilä 2024. The simulation models the magnetized corona around black-hole accretion flows.</p> <p>The dataset includes the simulation snapshot (flds_2500.h5) and the corresponding runko configuration file (x16.ini). The turbulence is excited with a Langevin antenna and has a guide field along the z-axis. See the paper for other physical and technical details.</p> <p>The flds_2500.h5 HDF5 file includes 10 datasets with a 640^3 resolution:</p> <ul> <li>ex, ey, ez for electric field x, y, and z components</li> <li>bx, by, bz for magnetic field components</li> <li>jx, jy, jz for current density components</li> <li>rho for plasma density</li> </ul>
Data from: The effect of external flow on 3D orientation of a microscopic sessile suspension feeder, Vorticella convallaria
<p><em>Vorticella convallaria</em> are microscopic sessile suspension feeders that live attached to substrates in aquatic environments. They feed using a self‐generated current and help maintain the health of aquatic ecosystems and wastewater treatment facilities by consuming bacteria and detritus. Their environmental impact is mediated by their feeding rate. In ambient flow, feeding rates are highly dependent on an individual's orientation relative to the substrate and the flow. Here, we investigate how this orientation is impacted by flow speed. Furthermore, we examined whether individuals actively avoid orientations unfavorable for feeding. We exposed individuals to unidirectional laminar flow at shear rates of 0, 0.5, 1.0, and 1.5 s<sup>−1</sup>, and recorded their 3D orientation using a custom biplanar microscope. We determined that <em>V. convallaria</em> orientation became progressively tilted downstream as the shear rate increased, but individuals were still able to actively reorient. Additionally, at higher shear rates, individuals spent a larger fraction of their time in orientations with reduced feeding rates. Our shear rates correspond to freestream flows on the scale of mm s<sup>−1</sup> to cm s<sup>−1</sup> in natural environments.</p>
3D co-registration of ultra-low-field and high-field magnetic resonance images (data)
<p>Dataset used for "3D co-registration of ultra-low-field and high-field magnetic resonance images" submitted to PlosOne.</p>
ScienceDex guides
Understand access before you commit
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.