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Number of posts related to All-Women Strikes in Poland in certain period of protests in general. From: October 19, 2020. To: February 8, 2021)
<p>It was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
A fMRI dataset in response to large number of short natural dynamic facial expression videos
<p><span>Facial expression is among the most natural methods for human beings to convey their emotional information in daily life. Although </span>the neural mechanism of facial expression has been extensively studied employing lab-controlled images and a <span>small number of</span> lab-controlled video stimuli, how the human brain processes <span>natural</span> facial expressions still needs to be investigated. <span>T</span>o our knowledge<span>,</span> this type of data <span>specifically</span> <span>on </span><span>large number of </span><span>natural</span> <span>facial expression videos</span> is currently missing. <span>W</span>e describe <span>here </span>the <span>natural </span>Facial Expressions Dataset (NFED), a fMRI dataset <span>including </span>responses to 1,320 short (<span>3-second</span>) <span>natural</span> facial expression video clips. <span>These video clips is </span><span>annotated</span> <span>with three types of labels: emotion, gender, and ethnicity</span><span>, along with accompanying metadata</span>. We validate that the dataset has good quality within and across participants and, notably, can capture temporal and spatial stimuli features. NFED provides researchers with fMRI data for understanding of the visual processing of large number of <span>natural </span> <span>facial expression videos.</span></p>
Number of posts in one phase about targets of Innovative Forms of Protests. From: October 19, 2020. To: February 8, 2021.
<p>It was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
Dataset for "Luminal breast epithelial cells from wildtype and BRCA mutation carriers harbor copy number alterations commonly associated with breast cancer"
<p>Processed single cell whole genome sequencing data from:</p> <p>Luminal breast epithelial cells from wildtype and BRCA mutation carriers harbor copy number alterations commonly associated with breast cancer Williams, Vinci Oliphant et al 2024</p> <p>Included are processed copy number profiles for all cells included in the study.</p>
Active fluctuations of axoneme oscillations scale with number of dynein motors
<p> </p> <p>The dataset published here was used to measure the<strong> phase fluctuations</strong> <strong>(frequency jitter) </strong>of isolated and <strong>reactivated axonemes from <em>Chlamydomonas reinhardtii </em></strong>as a function of the dynein motor density in these axonemes. <br>The corresponding article is published in PNAS: https://doi.org/10.1073/pnas.2406244121</p> <p>Axonemes were isolated from wt(cc-125) and oda1(cc-2228) cells.</p> <p>Reactivation was performed:<br>(1) after dynein extraction with different amounts of salt (KCL) or<br>(2) in the presence of different concentrations of ATP .</p> <p>For all experimental conditions we provide the following data files:<br><br></p> <p><strong>Movies of reactivated axonemes:</strong></p> <p>Reactivated axonemes were imaged with phase-contrast microscopy. Recorded movies are organized in folders (.zip) which are labeled according to the respective reactivation condition (KCL and ATP concentration as well as the <em>Chlamydomonas</em> strain, from which the axonemes were purified, e.g. <strong>50mM_KCl_750uM_ATP_ODA_Extracted.zip</strong>).</p> <p>Those folders contain (1) movie files (multilayer .tif) of single axonemes and (.txt) files with a corresponding number-label (with microscope, camera settings and experimental condition (<em>Chlamydomonas</em> strain, [ATP], [KCL]).</p> <p>Using the number-label, the corresponding data file can be identified. <br><br></p> <p><strong>Data files (for the corresponding movies):</strong></p> <p>The experimental data is organized in MATLAB (.mat) files. Those files contain shape and waveform information (see below) for the respective reactivation condition (axoneme type, [ATP], [KCL] detailed below the file name).</p> <p><strong>WT_KCL_master.mat</strong> - WT axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_WT_Extracted<br>50mM_KCl_750uM_ATP_WT_Extracted<br>100mM_KCl_750uM_ATP_WT_Extracted<br>200mM_KCl_750uM_ATP_WT_Extracted<br>300mM_KCl_750uM_ATP_WT_Extracted<br>400mM_KCl_750uM_ATP_WT_Extracted<br></strong></p> <p><strong>WT_ATP_master.mat </strong> - WT axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_50uM_ATP_WT<br>0mM_KCl_100uM_ATP_WT<br>0mM_KCl_370uM_ATP_WT<br>0mM_KCl_500uM_ATP_WT<br>0mM_KCl_750uM_ATP_WT<br></strong></p> <p><strong>ODA_KCL_master.mat </strong>- ODA axonemes, KCL extracted and reactivated with 750uM ATP</p> <p><strong>0mM_KCl_750uM_ATP_ODA_Extracted<br>50mM_KCl_750uM_ATP_ODA_Extracted<br>100mM_KCl_750uM_ATP_ODA_Extracted<br>200mM_KCl_750uM_ATP_ODA_Extracted<br>300mM_KCl_750uM_ATP_ODA_Extracted<br></strong></p> <p><strong>ODA_ATP_master.mat</strong> - ODA axonemes reactivated with different ATP concentraions</p> <p><strong>0mM_KCl_70uM_ATP_ODA<br>0mM_KCl_100uM_ATP_ODA<br>0mM_KCl_370uM_ATP_ODA<br>0mM_KCl_500uM_ATP_ODA<br>0mM_KCl_750uM_ATP_ODA</strong></p> <p>Each file includes a data-cell ‘Master’ with a columns for the different experimental conditions (e.g. concentrations of ATP or KCL). Data-cells contain one structure for each axoneme. </p> <p> </p> <p>These structures have the following fields:</p> <p>nframe… number of frames of the dataset</p> <p>phi_in_rad… phase angle (beat-cycle-phase) (rad)</p> <p>tangent_angle_psi_in_rad… the tangent angle for 24 positions along arc-length (rad)</p> <p>xy_in_micron… the x,y positions (µm)</p> <p>dt_in_second… time between adjacent frames (second)</p> <p>ds_in_micron… spacing between adjacent arc-length positions (µm)</p> <p>f0_in_Hz… beat frequency (Hz)</p> <p>A… beat amplitude (arc-length average) (rad)</p> <p>Q… quality factor</p> <p>sexp… string with experiment label</p> <p>KCL_in_mM… KCL concentration (mM) used for dynein extraction</p> <p>ATP_in_uM… ATP concentration (mM) used for reactivation</p> <p>File… filename, includes a number-label that corresponds to the imaging data provided</p>
Table ¹: Previous and new records of G. venusta. The number (Nº) of the localities corresponds to those in Figure 2. in New and unusual records of Glironia venusta (Didelphimorphia, Didelphidae) in Brazil
<p><b>Table ¹:</b> Previous and new records of <i>G</i>. <i>venusta</i><i>.</i> The number (Nº) of the localities corresponds to those in Figure 2.</p><table><thead><tr><th colspan="2">Coordinates</th><th>No. Locality, country</th><th>Reference</th><th>Sex</th><th><b>Type of record</b></th></tr></thead><tbody><tr><th>05.5561</th><td>−53.9374</td><td>1 Saint Laurent du Maroni, French Guiana</td><td>Alexandre and Thoisy (2023)</td><td>U</td><td>Visual</td></tr><tr><th>3.0333</th><td>−53.1000</td><td>2 Monte Itoupé, French Guiana</td><td>Sant and Catzeflis (2018)</td><td>U</td><td>Visual</td></tr><tr><th>−0.0167</th><td>−75.5167</td><td>3 Quebrada El Hacha, Putumayo, Colombia</td><td>Rodríguez-Mahecha et al. (1995)</td><td>U</td><td>Visual</td></tr><tr><th>−0.6500</th><td>−75.2667</td><td>4 Boca de Lagarto Cocha, Ecuador</td><td>Anthony (1926)</td><td>º</td><td>Animal-trade</td></tr><tr><th>−2.0833</th><td>−77.4500</td><td>5 Cantón Pastaza, provincia de Pastaza, Ecuador</td><td>Arguero et al. (2017)</td><td>º</td><td>Animal-trade</td></tr><tr><th>−2.5667</th><td>−76.8000</td><td>6 Río Pastaza, Ecuador</td><td>Arguero et al. (2017)</td><td>º</td><td>Animal-trade</td></tr><tr><th>−2.0667</th><td>−76.9667</td><td>7 Rio Bobonazo, Montalvo, Ecuador</td><td>Marshall (1978)</td><td>º</td><td>Animal-trade</td></tr><tr><th>−3.7833</th><td>−78.4833</td><td>8 Cordillera del Cóndor Las Peñas de la Concesión, Ecuador</td><td>Arguero et al. (2017)</td><td>U</td><td>Visual</td></tr><tr><th>−3.8333</th><td>−78.5167</td><td>9 Cordillera del Cóndor Los Encuentros, Ecuador</td><td>Arguero et al. (2017)</td><td>º</td><td>Pitfall</td></tr><tr><th>−2.3667</th><td>−74.0833</td><td>10 Junction of Rio Curaray with Rio Napo, Loreto, Peru</td><td>Anthony (1926)</td><td>º</td><td>Animal-trade</td></tr><tr><th>−3.5000</th><td>−73.2333</td><td>11 Puerta Almendra, Loreto, Peru</td><td>Díaz and Willig (2004)</td><td>º</td><td>Tomahawk</td></tr><tr><th>−3.5833</th><td>−72.7500</td><td>12 Rio Amazonas and Rio Napo, Loreto, Peru</td><td>Barkley (2008)</td><td>º</td><td>Mistnet</td></tr><tr><th>−10.0667</th><td>−75.5333</td><td>13 Pozuzo, Pasco, Peru</td><td>Thomas (1912a)</td><td>³</td><td>Animal-trade</td></tr><tr><th>−11.8500</th><td>−71.3167</td><td>14 Cocha Cachu, Madre de Dios, Peru</td><td>Pacheco et al. (1993)</td><td>U</td><td>No information</td></tr><tr><th>−12.0695</th><td>−69.4937</td><td>15 Las Piedras Amazon Center, Peru</td><td>Rushford and Glynn (2023)</td><td>U</td><td>Visual</td></tr><tr><th>−14.6000</th><td>−68.5833</td><td>16 Rio Machariapo, La Paz, Bolivia</td><td>Emmons (1991)</td><td>U</td><td>Visual</td></tr><tr><th>−16.1667</th><td>−67.5000</td><td>17 Yungas, La Paz, Bolivia</td><td>Thomas (1912b)</td><td>³</td><td>Animal-trade</td></tr><tr><th>−16.4500</th><td>−62.6500</td><td>18 San Janvier, Santa Cruz, Bolivia</td><td>Anderson (1993)</td><td>U</td><td></td></tr><tr><th>−14.2500</th><td>−61.0167</td><td>19 Parque Nacional Noel Kempff Mercado, Santa Cruz, Bolivia</td><td>Emmons (1998)</td><td>U</td><td>Visual</td></tr><tr><th>−14.4167</th><td>−60.8333</td><td>20 Meseta de Huanchaca, Santa Cruz, Bolivia</td><td>Tarifa and Anderson (1997)</td><td>U</td><td>Visual</td></tr><tr><th>−7.9500</th><td>−72.0667</td><td>21 Reserva Extrativista Riozinho da Liberdade, Acre, Brazil</td><td>Bernarde and Machado (2008)</td><td>U</td><td>Visual</td></tr><tr><th>−7.43694</th><td>−73.6594</td><td>22 Parque Nacional da Serra do Divisor, Acre, Brazil</td><td>Almeida et al. (2022)</td><td>U</td><td>Visual</td></tr><tr><th>−4.8833</th><td>−65.2667</td><td>23 Alto Rio Urucu, Amazonas, Brazil</td><td>Nogueira et al. (1999)</td><td>U</td><td>Firearm</td></tr><tr><th>−2.9167</th><td>−59.9833</td><td>24 Reserva Florestal Adolpho Ducke, Amazonas, Brazil</td><td>Calzada et al. (2008)</td><td>U</td><td>Visual</td></tr><tr><th>−0.9333</th><td>−57.0333</td><td>25 Rio Mapuera, Cachoeira Porteira, Pará, Brazil</td><td>Silva and Langguth (1989)</td><td>³</td><td>Captured</td></tr><tr><th>−5.8000</th><td>−50.5000</td><td>26 Floresta Nacional Tapirapé-Aquiri, Pará, Brazil</td><td>Rossi et al. (2010)</td><td>U</td><td>Visual</td></tr><tr><th>−6.0500</th><td>−50.2500</td><td>27 Floresta Nacional de Carajás, Parauapebas, Pará, Brazil</td><td>Ardente et al. (2013)</td><td>³</td><td>Sherman</td></tr><tr><th>−6.0885</th><td>−49.9729</td><td>28 Floresta Nacional de Carajás,ParauapebaJLs, Pará, Brazil</td><td>Present study</td><td>U, ³</td><td>Roadkill</td></tr><tr><th>−6.3833</th><td>−55.9000</td><td>29 Vila São Chico, Moraes de Almeida, Itaituba, Pará, Brazil</td><td>Mercês et al. (2023)</td><td>º</td><td>Visual</td></tr><tr><th>−6.3000</th><td>−55.7833</td><td>30 Mina do Palito, Jardim do Ouro, taituba, Pará, Brazil</td><td>Mercês et al. (2023)</td><td>º</td><td>Visual</td></tr><tr><th>−9.4667</th><td>−56.7000</td><td>31 Jacareacanga, Rio Teles Pires River, Pará, Brazil</td><td>Silveira et al. (2014)</td><td>º</td><td>Visual</td></tr><tr><th>−9.5603</th><td>−56.7526</td><td>32 Paranaíta, Mato Grosso, Brazil</td><td>Silveira et al. (2014)</td><td>º</td><td>Visual</td></tr><tr><th>−13.1000</th><td>−54.8167</td><td>33 Nova Ubiratã, Mato Grosso, Brazil</td><td>Rossi et al. (2010)</td><td>³</td><td>Suppression-activity (specimen)</td></tr><tr><th>−15.1167</th><td>−58.9500</td><td>34 Usina Hidrelétrica Guaporé, Mato Grosso, Brazil</td><td>Rossi et al. (2010)</td><td>³</td><td>Suppression-activity (specimen)</td></tr><tr><th>−15.5667</th><td>−58.0000</td><td>35 Mirassol d’ Oeste, Mato Grosso, Brazil</td><td>Santos-Filho et al. (2007)</td><td>³</td><td>Tomahawk</td></tr><tr><th>−11.6000</th><td>−60.7167</td><td>36 Fazenda Jaburi, Rondônia, Brazil</td><td>Bernarde and Rocha (2003)</td><td>U</td><td>Pitfall</td></tr><tr><th>−8.8667</th><td>−64.0000</td><td>37 Rio Madeira, Porto Velho, Rondônia, Brazil</td><td>Santos-Filho et al. (2007)</td><td>º</td><td>Tomahawk</td></tr><tr><th>−9.4667</th><td>−64.8167</td><td>38 Caiçara, Porto Velho, Rondônia, Brazil</td><td>Present study</td><td>º</td><td>Mistnet</td></tr></tbody></table><p>U, unknown sex.</p>
Number of analyzed documents on protests in Poland before and during the pandemic
<p>Rak Joanna, Bäcker Roman, <span>Number of analyzed documents on protests in Poland before and during the pandemic.</span></p> <p> </p> <p><span>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></p>
Number of sources at individual stages of the continuum between the apolitical and political nature of the police in the Polish People's Republic and the Third Polish Republic
<p>Bäcker Roman, <span>Number of sources at individual stages of the continuum between the apolitical and political nature of the police in the Polish People’s Republic and the Third Polish Republic</span></p> <p> </p> <p><span>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></p>
The number of sources limiting equality before the law during COVID-19
<p><span>Rak Joanna, Bäcker Roman, The number of sources limiting equality before the law during COVID-19.</span></p> <p> </p> <p><span>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></p>
Number of sources on electoral law as a tool of democracy or autocracy
<p><span>Rak Joanna, Bäcker Roman, Number of sources on electoral law as a tool of democracy or autocracy.</span></p> <p><span>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</span></p>
APPENDIX III. Bayesian inference topology of COI gene with posterior probability values. Numbers at the nodes represent posterior probability support, other nodes with red circles has> 95%. Terminals with locality specification are species prior for understand the description of I. crassa sp. nov. (★). in A new species of Ischnocnema (Anura: Brachycephalidae) from the mountainous region of Atlantic Forest, southeastern Brazil, with a new phylogeny and diagnose for Ischnocnema parva series
APPENDIX III. Bayesian inference topology of COI gene with posterior probability values. Numbers at the nodes represent posterior probability support, other nodes with red circles has> 95%. Terminals with locality specification are species prior for understand the description of I. crassa sp. nov. (★).
Datasets for reproducing the results in "True random number generators with flicker noise: stochastic model, min-entropy calculation and online test"
<p>Datasets for reproducing the results in "True random number generators with flicker noise: stochastic model, min-entropy calculation and online test"</p> <p>Includes scripts for generating raw results, postprocessing scripts, as well as scripts/notebooks for generating plots for the manuscript</p>
Head-on quenching of turbulent premixed NH3/H2/air flames in the channel flow with friction Reynolds number 300
Open the record for dataset details and reuse information.
Datasets and the movie for the manuscript "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration"
<p>This file contains the basic profiles and time series of cloud-field properties, cloud organization metrics, and cold-pool properties associated with the project titled "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration".</p> <p>The numbers of simulations 104, 105, 1, 106, 107, and 108 are associated with the cloud-droplet number concentrations Nc of 20, 50, 70, 100, 200, and 1000 /cm3, respectively.</p> <p>The character "-cnstsun" at the end of a file name is related to simulations without the diurnal cycle of solar radiation.</p> <p>The movie (Nc20_Nc1000.mp4) shows the evolution of cloud albedo (1st column), mixed-layer height hmix (2nd column), total moisture anomaly qt' at the 200-m level (3rd column), and the vertical velocity w at the 200-m level (4th column) for simulations with Nc of 20 (1st row) and 1000 (2nd row) /cm3 and without the the diurnal cycle. </p>
Data from: Number of alleles as a predictor of the relative assignment accuracy of STR and SNP baselines for chum salmon
Short tandem repeat (STR) markers, which exhibit many alleles per locus, are commonly used to assign fish to their populations of origin. Single nucleotide polymorphisms (SNPs), which have many technical advantages over STRs, typically exhibit only two alleles per locus. Simulation studies have indicated that number of independent alleles is a good predictor of accuracy of genetic markers for fishery applications. Extant STR baselines for salmon contain hundreds of alleles, and it has been extrapolated that hundreds of SNP markers need to be developed before SNP baselines will compare to these STR baselines. We compared 15 STRs exhibiting 349 independent alleles to 61 SNP assays exhibiting 66 independent alleles for accuracy in assigning to closely related populations of chum salmon. The SNP baseline yielded slightly higher mean accuracies for proportional assignment and comparable accuracies for individual assignment. Overall the SNP baseline performed considerably better, relative to the microsatellite baseline, than predicted based on the number of independent alleles in each baseline. We suggest that this discrepancy is due to the fact that the simulation studies do not capture the impacts of the different strategies commonly employed for discovering and selecting STR and SNP markers.
Data from: Number of neighbors instead of group size significantly affects individual vigilance levels in large animal aggregations
The group size effect states that animals living in groups gain anti-predator benefits through reducing vigilance levels as group size increases. A basic assumption of group size effect is that all individuals are equally important for a focal individual, who may adjust its vigilance levels according to social information acquired from them. However, some studies have indicated that neighbors pose greater influences on an individual's vigilance decisions than other group members, especially in large aggregations. Vigilance has also been found to be directed to both predators (anti-predation vigilance) and conspecifics (social vigilance). Central individuals might rely more on social vigilance than peripheral individuals. To test these hypotheses, we examined the effects of flock size, number of neighbors and position within a flock on vigilance and competition of greater white-fronted goose (Anser albifrons) that form large foraging flocks in winter, controlling the effects of other variables (group identity, winter period, and site). We found that individual vigilance levels were significantly affected by number of neighbors and position within a flock, whereas flock size showed no effect. Individuals devoted a large component of vigilance to nearby flock mates. Central individuals directed a relatively larger proportion of vigilance to monitor neighbors than peripheral ones, indicating that central individuals more relied on social information acquired from neighbors, possibly caused by the more blocked visual field of central individuals. Moreover, some social vigilance may function as conducting or preventing agonistic interactions since competition intensity was positively correlated with number of neighbors. Our study therefore demonstrate that the number of neighbors is more important than group size in determining individual vigilance in large animal groups. Further studies are still needed to unravel which neighbors pose greater influence on individual vigilance, and the factors that influence individuals to acquire information from their neighbors to adjust vigilance behaviors.
Data from: Finding a needle in a haystack: distinguishing Mexican maize landraces using a small number of SNPs
In Mexico's territory, the center of origin and domestication of maize (Zea mays), there is a large phenotypic diversity of this crop. This diversity has been classified into "landraces." Previous studies have reported that genomic variation in Mexican maize is better explained by environmental factors, particularly those related with altitude, than by landrace. Still, landraces are extensively used by agronomists, who recognize them as stable and discriminatory categories for the classification of samples. In order to investigate the genomic foundation of maize landraces, we analyzed genomic data (35,909 SNPs from Illumina MaizeSNP50 BeadChip) obtained from 50 samples representing five maize landraces (Comiteco, Conejo, Tehua, Zapalote Grande, and Zapalote Chico), and searched for markers suitable for landrace assignment. Landrace clusters could not be identified taking all the genomic information, but they become manifest taking only a subset of SNPs with high FST among landraces. Discriminant analysis of principal components was conducted to classify samples using SNP data. Two classification analyses were done, first classifying samples by landrace and then by altitude category. Through this classification method, we identified 20 landrace-informative SNPs and 14 altitude-informative SNPs, with only 6 SNPs in common for both analyses. These results show that Mexican maize phenotypic diversity can be classified in landraces using a small number of genomic markers, given the fact that landrace genomic diversity is influenced by environmental factors as well as artificial selection due to bio-cultural practices.
Leaf number, leaf area, shoot number, and height of reproductive H. acuminata
<p>Initial release of the data and code</p>
FIGURE III2. Phylogeny of Phasia (part 2) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states. Black bars on right side refer to the monphyletic groups discussed in the text. in Systematics of Phasia Latreille (Diptera: Tachinidae)
FIGURE III2. Phylogeny of Phasia (part 2) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states. Black bars on right side refer to the monphyletic groups discussed in the text.
FIGURE III1. Phylogeny of Phasia (part 1) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states; black bars on right side refer to the monphyletic groups discussed in the text. in Systematics of Phasia Latreille (Diptera: Tachinidae)
FIGURE III1. Phylogeny of Phasia (part 1) Character numbers above boxes refer to the characters in Table 1; numbers below boxes refer to transformation series states; black bars on right side refer to the monphyletic groups discussed in the text.
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.