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2,894 results for “browning”
Near infrared imaging data from brown rot decayed wood
<p>This dataset contains near infrared imaging data from the following publication: Belt, T.; Awais, M.; Mäkelä, M. (2022) Chemical characterization and visualization of progressive brown rot decay of wood by near infrared imaging and multivariate analysis. Frontiers in Plant Science 13:940745. DOI: 10.3389/fpls.2022.940745. Details on the samples, the decay test, and the image collection parameters can be found in the publication.</p> <p>The “Sample IDs and mass losses.cvs” file contains the sample ID and mass loss due to decay of each sample in the dataset. The “C puteana.mat” and “R. placenta.mat” files contain the near infrared imaging data of samples exposed to the fungus <em>Coniophora puteana</em> and the fungus <em>Rhodonia placent</em>a, respectively, organised into cell arrays of sample IDs and corresponding image files. To generate the image files, a region of interest of 551 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data were then converted to reflectance and corrected using the calibration reflectance target values.</p>
MCMC chains for demographic fits presented in "NICMOS Kernel-Phase Interferometry II: Demographics of Nearby Brown Dwarfs"
<p>These files are the data behind the figure for Figure 3 (and the corresponding Figure Set) as well as other fits presented in Table 5. They are saved in <a href="https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html">npy</a> format which can be read into python using numpy according to the code snippet below.</p> <p>The files are flattened and trimmed MCMC chains produced by running emcee (Foreman-Mackey et al. 2013) using 64 walkers for 10,000 steps. The first 1,000 steps were trimmed for burn in and the remaining chains were thinned by 40 steps.</p> <p>The files are named according to the following convention: flatSamples<malm cor><age><prior>.npy where:</p> <p><malm cor> is either 'Malm' or '' (nothing) if the model population was or was not corrected for Malmquist bias (before comparing to the observed population while fitting).</p> <p><age> is '0p9', '1p2', '1p5', '1p9', '2p4', or '3p1' according to that assumed field age (in Gyr).</p> <p><prior> is 'U' or 'I' for uninformed or informed (incorporating the information from Blake et al. 2010 on the unresolved population).</p> <p>The true underlying population corresponds to the flatSamplesMalm<age>I.npy files while the others are included for context and comparison to populations fit to the observed (not Malmquist corrected) population. The uninformed prior chains are dominated by a significant population of unresolved companions which is not consistent with previous RV studies.</p> <p>The files can be read into python using:</p> <pre><code class="language-python">import numpy as np flat_samples0p9I = np.load('flatSamples0p9I.npy') </code></pre> <p>which produces an array with shape 14400 x 4. The rows are the samples and the four columns are the parameters <span class="math-tex">\(F, \gamma, \overline{\log(\rho)}\)</span>, and <span class="math-tex">\(\sigma_{\log(\rho)}\)</span>, respectively.</p>
Adipose tissue plasticity in pheochromocytoma patients reveals a key role of the splicing machinery in human adipose browning
<p>RNA-sequencing counts data from omental adipose tissue from control individuals (C1-3) and patients with pheochromocytoma (P1-4) for whole genes (genes-counts.tsv) and individual isoforms (isoform-counts.tsv). Additional details regarding recruited individuals are available in the associated manuscript.</p> <p>Tissue fragments (~150 mg) of adipose biopsies from controls and pheochromocytoma patients were homogenized using a metal bead-based mechanical procedure in a TissueLyser® (QIAGEN, Düsseldorf, Germany). Total RNA was isolated from tissue homogenates using a NucleoSpin® RNA kit (Macherey-Nagel, Dueren, Germany) following the manufacturer’s protocol. mRNA was purified from 2 μg of total RNA using oligo-dT beads; it was then fragmented, retrotranscribed with random primers, and subjected to second-strand synthesis to create double-stranded cDNA fragments. Adaptor ligation, purification of 200-base pair cDNA fragments, amplification of the purified fragments, and library preparation were performed as previously reported by our laboratory. Before sequencing, the RNA integrity number (RIN) of each sample was determined using an Agilent Bioanalyzer 2100; samples with RIN ≥ 7.5 were used for RNA-sequencing. The cDNA library quality and quantity were further analyzed as previously described. Libraries yielding satisfactory results were sequenced on an Illumina HiSeq 2000 sequencer (DNAvision, Charleroi, Belgium). The average reads per sample was 45 million; this level of coverage was previously shown to provide sufficient sequencing depth for gene expression quantification and transcript detection. Quality control of reads was performed using FastQC (version 0.11.8; bioinformatics.babraham.ac.uk/projects/fastqc). Gene expression was quantified using Salmon version 1.1.0 with the additional parameters “– seqBias – gcBias – validateMappings”. GENCODE version 31 (GRCh38.p12) was used as the reference genome and indexed using default parameters; this resulted in 175,775 transcripts corresponding to 35,183 genes.</p>
Soil and plant biogeochemical and soil temperature variables collected at brown lemming (Lemmus trimucronatus) and tundra vole (Microtus oeconomus) structure sties near Nome, Toolik Lake, and Utqaigvik, Alaska, summer 2018-2020
Soil and plant sampling analysis under small mammal-built structures and controls sites from near the Team Vole fences: Nome, Toolik, Utqiagvik, AK 2018-2020.
Figure data for "Detection of tar brown carbon with the single particle soot photometer (SP2)"
<p>Data contained in Figures 2 and 4 of Corbin and Gysel-Beer 2019. https://doi.org/10.5194/acp-2019-568</p>
Citation analysis of Brown 1988 and Charnov 1976, for Figure 1 of manuscript "Halloween Charnov", Calcagno et al. 2023
<p>This contains the R script (bibliom.txt) and the ciatation data files (three .csv files) needed to generate Figure 1 in manuscript "Taking fear back into the Marginal Value Theorem: the risk-MVT and optimal boldness", by Calcagno, Gorgnard, Hamelin and Mailleret, 2023.</p>
Dataset and supplementary files - Behavioral response of chub (Squalius cephalus), barbel (Barbus barbus) and brown trout (Salmo trutta) to pulsed direct current electric fields and resulting optimal waveform for use at electrified bar racks
<p><strong>Behavior Library.zip: </strong>For each species and behavior observed during the experiments an exemplary video is provided. </p><p><strong>Behavior_all.pdf: </strong>Additional plots showing the thresholds for the first time each individual behavior was observed for all fish species and tested waveforms</p><p><strong>Species.pdf: </strong>Additional plot allowing direct comparison of observed thresholds for the tested species when subjected to different waveforms. </p><p><strong>data.csv:</strong> All data necessary to reevaluate the conducted experiments. The dataset consists of</p><ul><li>Experiment ID</li><li>waveform - indicating the set of electrical parameters used</li><li>fish species and fish id </li><li>behavior - observed behavior</li><li>time from and time to - time in s after the start of the experiment that a behavior was started and ended respectively</li><li>type - point or interval referring to whether a behavior is considered instantaneous or continuous</li><li>voltage - applied voltage at the start of the given behavior</li><li>experiment_timestamp - date and time of the start of the experiment</li><li>breathing rate start - breathing rate at the start of the experiment</li><li>water conductivity - water conductivity at a reference temperature of 25°C [muS/cm]</li><li>water temperature [°C]</li><li>breathing rate end - breathing rate at the end of the experiment</li><li>meta behavior - assigned category of meta behavior based on the observe behavior category</li><li>standard length, total length and height - standard length, total length and height of the tested fish in [mm]</li><li>volume - calculated fish volume based on the measured length and height and an assumed elliptical form of the fish</li><li>Fangdatum - Date of catch</li><li>t.Pulse - pulse length of the tested waveform [ms]</li><li>Frequency - Frequency of the tested waveform</li><li>N.Pulses.Group - Number of pulses per group of pulses for the waveform pattern</li><li>t.Gap - time between two pulses within a group of pulses [ms]</li><li>DutyCycle - Percentage of time current is flowing for a given waveform. Calculated based on the waveform parameters</li><li>usage - first, second or third time a fish was used in the experiments. </li><li>field strength - field strength at the time of this behavior calculated based on the applied voltage</li><li>c_w ambient water conductivity [muS/cm]</li><li>p_d - power density calculated based on the field strength and the ambient water conductivity</li><li>p_t - power transferred to the fish calculated based on the field strength, the ambient water conductivity and an assumed conductivity of the fish of 115 muS/cm</li></ul><p> </p><p> </p>
Figure Sets and Data Associated with AJ Publication: "NICMOS Kernel-Phase Interferometry I: Catalogue of Brown Dwarfs Observed in F110W and F170M"
<p>Images for Figure Sets 4, 5, 6, 7, and 9 and data behind the figure for Figure 15 from the AJ publication "NICMOS Kernel-Phase Interferometry I: Catalogue of Brown Dwarfs Observed in F110W and F170M" (Currently accepted and in press.). Figure sets and file names are described in the fsREADME file. Data behind the figure is described in the dbfREADME file.</p>
Horizon Europe Cluster 2 Award - Case Study - Prof Kath Browne, University College Dublin
<p>Video features Prof Kath Browne, PI on the RESIST Project Team, who share thier refleciton on working on the project funded under the EC Horizon Europe, Pillar 2, Cluster 2 “Culture, Creativity and Inclusive Society”.</p> <p>Video is avialbe on the YouTube channels of:</p> <ul> <li>Irish Marie Skłodowska-Curie Office <a href="https://youtu.be/-yWMLGxVz0w?feature=shared" target="_blank" rel="noopener">https://youtu.be/-yWMLGxVz0w?feature=shared</a> </li> <li>RESIST Project Videos <a href="https://www.youtube.com/@resistproject/playlists" target="_blank" rel="noopener">https://www.youtube.com/@resistproject/playlists</a></li> </ul>
Adrian Brown (b3260)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Adrian Brown<br><u>musiXplora-ID</u>: b3260<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b3260">https://musixplora.de/mxp/b3260</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1980<br><u>Sectors</u>: Instrumentenbau, Museum, Musikforschung<br><u>Professions (Historical)</u>: Blockflötenbauer<br><u>Professions (Musical)</u>: Flötenbauer, Instrumentenkundler, Musikforscher<br><u>Other Places of Activity</u>: Amsterdam, London, Wien<br><br><br><u>Persönlicher Umkreis:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Netzwerk</td><td>Netzwerkpartner</td><td>Beatrix Darmstädter</td><td><a href="https://musixplora.de/mxp/d1097">d1097</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
James Brown (b3017)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: James Brown<br><u>musiXplora-ID</u>: b3017<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b3017">https://musixplora.de/mxp/b3017</a><br><u>Gender</u>: m<br><u>Date of Birth</u>: 1804<br><u>Place of Birth</u>: Stanley/Wakefield<br><u>Date of Death</u>: 1885<br><u>Place of Death</u>: Undefined<br><u>First Mentioned</u>: 1827<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Kontrabassbauer<br><u>Professions (Musical)</u>: Geigenbauer<br><u>Professions (Non-Musical)</u>: Handwerker<br><u>Other Places of Activity</u>: Huddersfield<br><br><br><u>Arbeitsumfeld:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>ArbeitgeberInnen</td><td>Arbeitnehmer</td><td>Thomas Kennedy</td><td><a href="https://musixplora.de/mxp/k2591">k2591</a></td></tr></tbody></table><br><u>Portfolio:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Kontrabass</td><td><a href="https://musixplora.de/mxp/2001461">2001461</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Geige</td><td><a href="https://musixplora.de/mxp/2001463">2001463</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Bratsche</td><td><a href="https://musixplora.de/mxp/2001527">2001527</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Violoncello</td><td><a href="https://musixplora.de/mxp/2001634">2001634</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
A. Brown (b2958)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: A. Brown<br><u>musiXplora-ID</u>: b2958<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b2958">https://musixplora.de/mxp/b2958</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1840<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Historical)</u>: Mélophone-Bauer<br><u>Professions (Musical)</u>: Tasteninstrumentenhersteller<br><u>Other Places of Activity</u>: Paris<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kinsky 1910</td><td>Besaitete Tasteninstrumente, Orgeln und orgelartige Instrumente, Friktionsinstrumente. Katalog des Musikhistorischen Museums von Wilhelm Heyer in Cöln. Erster Band</td><td><a href="https://musixplora.de/mxp/5002021">5002021</a></td></tr><tr><td>Related</td><td>Henkel et al. 1983</td><td>Orgelinstrumente, Harmoniums</td><td><a href="https://musixplora.de/mxp/5002040">5002040</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6012674">6012674</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Mary Elizabeth Brown (b2822)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Mary Elizabeth Brown<br><u>musiXplora-ID</u>: b2822<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/b2822">https://musixplora.de/mxp/b2822</a><br><u>Gender</u>: f<br><u>Nationalities</u>: us<br><u>Confessions</u>: evangelisch-lutherisch<br><u>Date of Birth</u>: 30 May 1842<br><u>Place of Birth</u>: Undefined<br><u>Date of Death</u>: 1918<br><u>Place of Death</u>: Undefined<br><u>First Mentioned</u>: 1870<br><u>Sectors</u>: Instrumentensammlung, Medien, Museum, Musikforschung<br><u>Professions (Musical)</u>: Herausgeberin, Instrumentensammlerin, Musikschriftstellerin<br><u>Other Places of Activity</u>: New York<br><br><br><u>Begriffe:</u><br><table><tbody><tr></tr><tr><td>Besitzer</td><td></td><td>Orphica</td><td>2001696</td></tr></tbody></table><br><u>Institutionen:</u><br><table><tbody><tr><th>Role</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>The Crosby Brown Collection of Musical Instruments</td><td><a href="https://musixplora.de/mxp/3080482">3080482</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Kinsky 1920</td><td>Musikinstrumentensammlungen in Vergangenheit und Gegenwart</td><td><a href="https://musixplora.de/mxp/5033885">5033885</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Brown Dwarf Analysis
<p>We perform the analysis with 13 years of Fermi-LAT data. In the notebook, we show the analysis of one Brown Dwarf. Following this methodology, you can reproduce the result of all BDs.</p> <p>In the mathematica file, you can find the calculation of capture rate and the plots related to the scattering cross-section of BDs.</p> <p>Some of the files have been updated. Find the details from Phys. Rev. D 107, 043012 (2023) & Erratum: Phys. Rev. D 109, 129904 (2024).</p>
Alignments and ML trees of cassava brown streak virus and Ugandana cassava brown streak virus polyprotein nucleotide sequences
<p>Alignments of full and nearly full polyprotein-length nucleotide sequences from GenBank for the two ipomoviruses that cause cassava brown streak disease, in fasta format. Separate alignments for 67 cassava brown streak virus sequences and 81 Ugandan cassava brown streak virus sequences are provided, as well as a combined alignment of 148 sequences. Alignments were created with MUSCLE and then modified by eye in AliView.</p> <p>Also, two tree files (in nexus) format are supplied, resulting from a maximum likelihood analysis with IQTree on each of the two single-species datasets. Support for nodes with aLRT and 100 actual bootstrap replicates are provided (aLRT/bootstrap).</p>
ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al. (2019)
<p><strong>ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)</strong></p> <p>**When using the GIS data included in these map packages, please cite all of the following:</p> <blockquote> <p>Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. <a href="http://doi.org/10.1371/journal.pone.0220457">http://doi.org/10.1371/journal.pone.0220457</a></p> <p>Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. <a href="https://doi.org/10.5281/zenodo.2572018">https://doi.org/10.5281/zenodo.2572018</a></p> </blockquote> <p><strong>OVERVIEW OF CONTENTS</strong></p> <p>This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:</p> <ul> <li>Raw DEM and Soils data <ul> <li>Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the <a href="https://viewer.nationalmap.gov/basic/">National Elevation Dataset</a>) <ul> <li><strong>DEM_Individual_Tiles</strong>: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.</li> <li><strong>DEMs_Merged</strong>: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM. </li> </ul> </li> <li> Soils Data (Map services and data available from <a href="https://data.nal.usda.gov/dataset/natural-resources-conservation-service-web-soil-survey">Natural Resources Conservation Service Web Soil Survey</a>, U.S. Department of Agriculture) <ul> <li><strong>Animas-Dolores_Area_Soils</strong>: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).</li> <li><strong>Cortez_Area_Soils</strong>: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).</li> </ul> </li> </ul> </li> <li>ArcGIS Map Packages <ul> <li><strong>Goodman_Watershed_Full_SMPM_Analysis</strong>: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).</li> <li><strong>Goodman_Watershed_Mesa-Only_SMPM_Analysis</strong>: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.</li> <li><strong>Crow_Canyon_Watershed_SMPM_Analysis</strong>: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).</li> <li><strong>Coffey_Watershed_SMPM_Analysis</strong>: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).</li> </ul> </li> </ul> <p>For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."</p> <p><strong>LICENSES</strong></p> <p>Code: <a href="http://opensource.org/licenses/MIT">MIT</a> year: 2019 <br> Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton</p> <p><strong>CONTACT</strong></p> <p><strong>Andrew Gillreath-Brown, PhD Candidate, RPA</strong><br> <a href="https://anthro.wsu.edu/">Department of Anthropology</a>, Washington State University<br> <a href="mailto:andrew.brown1234@gmail.com">andrew.brown1234@gmail.com</a> – Email<br> <a href="https://andrewgillreathbrown.wordpress.com/">andrewgillreathbrown.wordpress.com</a> – Web</p>
De novo genome assembly of the meadow brown butterfly, Maniola jurtina
<p>1. Whole-genome GFF file (raw and filtered for min. gene length) [<em>Maniola.jurtina.gff3</em>, <em>Maniola_jurtina_filtered.gff3</em>]</p> <p>2. List of <em>M. jurtina</em> proteins [<em>Mjurtina_proteins.fa</em>].</p> <p>3. Results of spot pattern genes BLAST against <em>M. jurtina</em> proteome [<em>Lepidoptera_MJ_protein_matches.xlsx</em>]. </p> <p>4. Annotations [blast2go_export.txt]</p>
Data and code for: Growth, development and survival in the brown widow spider, Latrodectus geometricus under different feeding regimes.
<p><span>Here, we compared mortality, growth and development of the brown widow spider, <em>Latrodectus geometricus</em>, from neonate to adult under two different prey availability regimes. </span></p>
Reproduction package for the paper "High-contrast observations of brown dwarf companion HR 2562 B with the vector Apodizing Phase Plate coronagraph"
<p>This is a basic reproduction package for the paper <a href="https://doi.org/10.1093/mnras/stab1893">"High-contrast observations of brown dwarf companion HR 2562 B with the vector Apodizing Phase Plate coronagraph" by Sutlieff et al. (2021)</a>. It aims to provide the most important data products to check and reproduce the main results of the paper.</p>
Data Files and Code Associated with "Brown Dwarfs are Violet"
<p>The accompanying files provide some IDL code and "data behind the figures" for the paper titled "Brown Dwarfs are Violet" (by S. R. Cranmer), which has been submitted to <em>Research Notes of the AAS.</em></p> <p>This paper presents a collection of objective (CIE x,y coordinate) and subjective (RGB triple) colors for main-sequence stars and brown dwarfs, as they may be perceived by human eyes without the reddening effects of the Earth's atmosphere. However, the algorithm described in the paper for computing RGB triples ought to be considered as only a preliminary first step; i.e., it needs to be tested by comparing the results to other more established ways of converting astronomical spectra to perceived colors.</p> <p> </p>
ScienceDex guides
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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.