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30,334 results for “Responsiveness”
The Effect of Capsaicin (Chilli) on Responses of Fear and Aggression
<p>The purpose of this study is to explore the effect that capsaicin (chilli) has on emotional responses, specifically on responses of fear and aggression.</p>
Dataset from: Honert and Zelik (2019) "Foot and shoe responsible for majority of soft tissue work in early stance of walking"
<p>Raw and processed full body kinematics and kinetics for Honert and Zelik, 2019, "Foot and shoe responsible for majority of soft tissue work in early stance of walking" <em>Human Movement Science.</em></p>
Drier tropical forests are susceptible to functional changes in response to a long-term drought
<p>Maps created and resulting data from analysis in changes in community weighted mean of traits. The raw trait data and forest census data used are available from their sources in www.<a href="http://gem.tropicalforests.ox.ac.uk/">gem.tropicalforests.ox.ac.uk</a> and ForestPlots.net.</p>
Comparative Study of Intravenous Esmolol & Magnesium Sulphate in Attenuating Hemodynamic Response during Laryngoscopy & Endotracheal Intubation in Patients Undergoing Valvular Heart Surgery: a Randomised Clinical Trial
<p>The present study aimed to compare the effectiveness of esmolol & magnesium sulphate in attenuating the hemodynamic response<br> to endotracheal intubation and to note any signifi cant side effects caused by these drugs.<br> Background: Induction with endotracheal intubation in patients undergoing valvular heart replacement pose lot of hemodynamic<br> variations. Obtunding hemodynamic response which can be deleterious in such patients pose a challenge to the cardiac anaesthetist. We<br> hypothesized that using esmolol as compared to magnesium sulphate will attenuate the hemodynamic response during laryngoscopy &<br> endotracheal intubation in patients undergoing valvular heart replacement.<br> Methods: This was a double blind, randomised, single centre, interventional, prospective study. In this study 96 patients were divided<br> into two groups with 48 patients each (n = 48) by sealed enveloped method of randomisation. Group E received esmolol 1.5 mg/ kg i.v<br> and Group M received magnesium sulphate 50 mg/ kg i.v each diluted in normal saline to make up a volume of 50 ml & given via infusion<br> slowly over 5 minutes by a burette set. Hemodynamic parameters like Heart Rate (HR), Mean Arterial Pressure (MAP), Systolic Blood<br> Pressure (SBP), Diastolic Blood Pressure (DBP) at baseline, 5 minutes after premedication, just before intubation 3, 5, 10 & 15 minutes<br> post intubation were recorded. The last observation at the end of 15 minutes post intubation was considered as the end of study.<br> Results: All the enrolled patients were analyzed. The esmolol group showed a decrease in the H.R from baseline (86.13 ± 15.87)<br> as compared to magnesium sulphate (98.51 ± 16.81 with a 95% CI, 4.62-4.69, p value < 0.001) 5 minute after premedication. There was<br> statistically signifi cant difference in H.R between both groups 5 minutes after drug administration.<br> Conclusion: Administration of esmolol before intubation in valvular heart patients undergoing valve replacement surgery controls the<br> hemodynamic response much better as compared to magnesium sulphate.</p>
Supporting model output for 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.
<p>Model output used to generate figures in the manuscript 'Empirical stream thermal sensitivities may underestimate stream temperature response to climate warming'.</p>
Arctic Ocean freshwater dynamics: transient response to increasing river runoff and precipitation [dataset]
<p>This dataset contains the underlying data for the manuscript Brown et al., Arctic Ocean freshwater dynamics: transient response to increasing river runoff and precipitation, submitted to JGR-Oceans</p> <p>-----------------------------------<br> Descriptors in the filenames, shown below as *, correspond to the various simulations, as follows:</p> <p>Simulations forced with JRA-25 reanalysis data:<br> AR: Unperturbed control simulation<br> B1: Simulation involving a step change in river runoff of -30% <br> C1: Simulation involving a step change in river runoff of +30% <br> B7: Simulation involving a step change in precipitation of -30% <br> C8: Simulation involving a step change in precipitation of +30% </p> <p>Simulations forced with the CORE-II climatology:<br> AR_CORE: Unperturbed control simulation <br> P-30_CORE: Simulation involving a step change in precipitation of -30% <br> P+30_CORE: Simulation involving a step change in precipitation of +30% </p> <p>-----------------------------------<br> The files named as fwvolume_Sref35_*.nc contain the variables:</p> <p>freshwater: horizontally-integrated liquid freshwater volume in m^3<br> freshwater_pos: as before, but including only positive values in the integration<br> h_f: basin-mean freshwater height in m<br> h_f_pos: as before, but including only positive values in the integration</p> <p>The reference salinity used in each case is 35.</p> <p>-----------------------------------</p> <p>The files named as freshwater_h_f_*.nc contain horizontally-gridded, depth-integrated liquid freshwater heights in m. The integration is made to a depth of 276.68m.</p> <p>h_f_34p8: freshwater height, using a reference salinity of 34.8 <br> h_f_34p8_pos: as before, but including only positive values in the integration<br> h_f_35: freshwater height, using a reference salinity of 35 <br> h_f_35_pos: as before, but including only positive values in the integration</p> <p>The grid for these files is grid.nc</p> <p>-----------------------------------</p> <p>The files named as fluxes_ed3_*.nc contain strait-integrated volume fluxes (in m^3 s^-1) into and out of the Arctic domain: </p> <p>f: liquid volume flux<br> fw: freshwater, with variables numbered 1 using a reference salinity of 34.8 and those numbered 2 using a reference salinity of 35<br> ice: sea ice volume flux</p> <p>The first dimension, ngate, of the variables indicates the strait:</p> <p>1) Fram Strait<br> 2) Barents Sea Opening<br> 3) Bering Strait<br> 4) Amundsen Gulf<br> 5) McClure Strait<br> 6) Canadian Arctic Archipelago<br> 7) Nares Strait</p> <p>-----------------------------------</p> <p>Sea ice volumes (in m^3) for the JRA-25 forced simulations are contained in the files named area_int_*.nc with variable name "ivol"</p> <p>-----------------------------------</p> <p>Basin-integrated liquid freshwater volumes for a further series of JRA-forced runoff perturbation experiments are contained within the file FWLvol_AO_Sref35_runoff.mat:</p> <p>R_10: a step increase in runoff of 10%<br> R_60: a step increase in runoff of 60%<br> R_100: a step increase in runoff of 100%</p> <p>The reference salinity is 35 and depth of integration 276.68m</p>
Raw simulation data of response of the PATE particle telescope to electrons
<p>The dataset consists of multiple files, one incident energy per file. The electron distribution is spherically symmetric, the simulated particles are radiated from the inner surface of a sphere with a radius of 10 cm which encloses the entire telescope assembly. The initial angular distribution of the electrons is Lambertian uniform. </p> <p><strong>File naming schema</strong>: e_MONO_{ENERGY, MeV}_MeV_{COUNT, pcs}_count_{SERIAL NUMBER}.dat </p> <p>For example, a file with a serial number <strong>665</strong> which contains data for <strong>2.4E+8</strong> simulated electrons with <strong>70 keV</strong> energy is named "e_MONO_<strong>00.07</strong>_MeV_<strong>240000000</strong>_count_<strong>665</strong>.dat"</p> <p><strong>The data structure is the following:</strong></p> <p>Each line represents a detected particle. The detection means that a particle (including secondaries) deposited at least 50 keV at least in one of the sensitive silicon volumes. From the particle telescope view, there is no means to distinguish between particle flavors at the time of ionization and readout, thus no secondaries are treated separately.</p> <p>The particle record has 11 fields with signed decimal floating point values. The fields are separated by a single tab character ('\t'). There is no tab at the end of the line, the line ending is UNIX ('\n')</p> <p>The first eight floats are deposited energies in the sensitive silicon volumes of the detectors in the detector stack of the PATE instrument. They come in the following order: D1a D1b D1c D2a D2b D3 AC1 AC2. The next is the angle between the telescope axis and the incident particle momentum as seen by the D1 plate, or <strong>-888.0</strong> in case D1 has less than 50 keV of deposited energy. The next field is the angle between the telescope axis and the incident particle momentum at the starting point. <strong>All angles are in degrees</strong>. The last field is redundant, it contains the incident particle energy in <strong>MeV</strong>.</p> <p><strong>Example:</strong></p> <p>0 0 0.050963 0 0 0 0 0 12.728 8.9272 0.055</p> <p>This line represents a 55 keV particle detection, which has deposited 50.963 keV in the D1c detector. The particle was shot at 8.9272 degrees to the telescope axis, at the time it crossed the border of the sensitive volume it had a momentum direction at 12.728 degrees to the telescope axis.</p>
Dataset of the questionaries' responses
<p>This dataset was produced during the process of defining the curriculum of a e-business master course that opened in 2018 in the Business School of the Polytechnic of Porto (ISCAP), Portugal.</p> <p>With the aim of designing a course that corresponded as much as possible to the needs of the labour market and incorporating the expectations and concerns of potential employers and future students, the authors carried out 1) an inquiry, doing interviews to potential employers, and 2) a survey, applying a questionnaire to ISCAP final year students of some after working hours degrees, and to graduate students who are already in the labour market.</p> <p>This is the dataset with the responses to the questionnaire.</p>
Ensemble and single cell data for primary Ovis Aries pulmonary artery endothelial cells response to IGF-1 administration
<p>Data for IGF-1 administration of healthy and persistent pulmonary hypertension of the newborn primary Ovis Aries pulmonary artery endothelial cells.</p> <p>Ensemble.zip:<br> Dose-response to IGF-1<br> Proliferation<br> Western blots for VEGF and eNOS<br> IGF-1R and mTOR inhibition<br> Branch points in tube formation assay<br> <br> IF.zip:<br> Cellprofiler 3.1 analysis of snapshot data for the time course of IGF-1 administration with nuclei, actin, VEGF, and eNOS</p> <p>Translation.zip:<br> CellProfiler 3.1 analysis of snapshot data for the time course of IGF-1 administration with nuclei and total protein production</p>
Attenuation of chronic T cell responses through constitutive COX2-dependent prostanoid synthesis by lymph node fibroblasts
<p>Raw data (in microsoft excel format) which were used to generate the figures in this manuscript. One worksheet per figure.</p>
OAI responses
<p>The 1193 OAI services and the number of records they returned</p>
Metabolic response of yellow mealworm larvae to two alternative rearing substrates
<p>The quantitative one-dimensional <sup>1</sup>H NMR representative spectra of lipid and polar metabolites fractions of Tenebrio molitor larvae fed two alternative dietary substrates described in the manuscript draft entiteld:</p> <p><strong>Metabolic response of yellow mealworm larvae to two alternative rearing substrates</strong></p>
Source ELISA data for the manuscript "Restrained expansion of the recall germinal center response as biomarker of protection for influenza vaccination in mice"
<p>This repository contains the source ELISA data for the manuscript "Restrained expansion of the recall germinal center response as biomarker of protection for influenza vaccination in mice" currently under review by PLOS ONE.</p> <p>It supports the following figures:</p> <p>Fig 4A: rHA ELISA data miniHA study.xlsx<br> Fig 4B: Competition ELISA data miniHA study.xlsx<br> S7 Fig: Competition ELISA data POC study.xlsx</p> <p> </p> <p>Files include Raw OD's per plate and reported values analysis. </p> <p> </p>
Projecting boreal bird responses to climate change: the signal exceeds the noise
<p>Current and projected future potential boreal bird densities (4-km resolution)</p> <p>Citation for journal article associated with this dataset:<br> --------------------<br> Stralberg, D., S. M. Matsuoka, A. Hamann, E. M. Bayne, P. Sólymos, F. K. A. Schmiegelow, X. Wang, S. G. Cumming, and S. J. Song. 2015. Projecting boreal bird responses to climate change: the signal exceeds the noise. Ecological Applications 25:52-69. http://dx.doi.org/10.1890/13-2289.1</p> <p>Coordinate System<br> ------------------<br> Projection: Lambert Conformal Conic<br> False Easting: 0.00000000<br> False Northing: 0.00000000<br> Central Meridian: -95.00000000<br> Standard Parallel 1: 49.00000000<br> Standard Parallel 2: 77.00000000<br> Latitude Of Origin: 0.00000000<br> Linear Unit: Meter<br> Datum: D WGS 1984</p> <p>Summary<br> -------<br> The boreal forest biome provides a resource-rich environment for breeding birds, supporting high species diversity and bird numbers. These birds are likely to shift their distributions northward in response to rapid climate change over the next century. We used a comprehensive dataset of avian point-count surveys from across boreal Canada and Alaska, combined with interpolated climate data, to develop bioclimatic niche models of current avian distribution and density for 80 boreal-breeding songbird species. We then used a downscaling of projected future climates to assess the potential for these species to change their distribution and abundance in response to climate change. Note that projections represent potential densities based on climatic conditions, land use and topography. They do not account for physiographic barriers such as the northern extent of the Rocky Mountains that may prevent colonization of otherwise suitable habitat. Therefore current species’ distributions may be over-estimated in certain regions, particularly in Alaska.</p> <p>Boosted regression tree models of species distribution were averaged across two sets of covariates (climate-only and climate + land use + topography), 11 bootstrap samples, and four global climate models. Mean projections and uncertainty estimates (coefficient of variation) are available for the current period (based on climate data from 1961-1990) and three future time periods (2011–2040, 2041­–2070, 2071–2100). Climate data layers available at tinyurl.com/ClimateNA.</p> <p>Contact<br> -------<br> Diana Stralberg, University of Alberta (stralber@ualberta.ca)<br> Boreal Avian Modelling Project (borealbirds.ca)</p> <p>Project sponsors<br> ----------------<br> Boreal Avian Modelling (BAM) Project<br> Alberta Biodiversity Management and Climate Change Adaptation Project</p> <p>Avian data providers<br> --------------<br> http://www.borealbirds.ca/index.php/data_partners<br> USGS Breeding Bird Survey<br> Breeding Bird Atlases of Canada</p> <p>BAM founding organisations and funders<br> --------------------------------------<br> Environment Canada<br> University of Alberta<br> Canadian BEACONs Project</p> <p>Financial supporters<br> --------------------<br> USFWS Neotropical Migratory Bird Conservation Act<br> Vanier Canada Graduate Scholarships</p> <p>Alberta Biodiversity Monitoring Institute<br> Alberta Innovates Technology Futures<br> Alberta Pacific Forest Industries Inc.<br> Climate Change and Emissions Management Corporation<br> Joint Canada-Alberta Implementation Plan for Oil Sands Monitoring<br> Killam Trusts<br> Landscape Conservation Cooperatives<br> National Fish and Wildlife Foundation<br> Université Laval</p> <p>Species code definitions<br> ------------------------<br> Code Common name (Scientific name)<br> ALFL Alder Flycatcher (Empidonax alnorum) ‡<br> AMCR American Crow (Corvus brachyrhynchos)<br> AMGO American Goldfinch (Spinus tristis)<br> AMPI American Pipit (Anthus rubescens) ‡<br> AMRE American Redstart (Setophaga ruticilla)<br> AMRO American Robin (Turdus migratorius) ‡<br> ATSP American Tree Sparrow (Spizella arborea) ‡<br> BAWW Black-and-white Warbler (Mniotilta varia)<br> BBWA Bay-breasted Warbler (Setophaga castanea)<br> BCCH Black-capped Chickadee (Poecile atricapillus) ‡<br> BHCO Brown-headed Cowbird (Molothrus ater)<br> BHVI Blue-headed Vireo (Vireo solitarius)<br> BLBW Blackburnian Warbler (Setophaga fusca)<br> BLJA Blue Jay (Cyanocitta cristata)<br> BLPW Blackpoll Warbler (Setophaga striata) ‡<br> BOCH Boreal Chickadee (Poecile hudsonicus) ‡<br> BRBL Brewer’s Blackbird (Euphagus cyanocephalus)<br> BRCR Brown Creeper (Certhia americana) ‡<br> BTNW Black-throated Green Warbler (Setophaga virens)<br> CAWA Canada Warbler (Cardellina canadensis)<br> CCSP Clay-colored Sparrow (Spizella pallida)<br> CEDW Cedar Waxwing (Bombycilla cedrorum)<br> CHSP Chipping Sparrow (Spizella passerina) ‡<br> CMWA Cape May Warbler (Setophaga tigrina)<br> COGR Common Grackle (Quiscalus quiscula)<br> CONW Connecticut Warbler (Oporornis agilis)<br> CORA Common Raven (Corvus corax) ‡<br> CORE Common Redpoll (Acanthis flammea) ‡<br> COYE Common Yellowthroat (Geothlypis trichas)<br> CSWA Chestnut-sided Warbler (Setophaga pensylvanica)<br> DEJU Dark-eyed Junco (Junco hyemalis) ‡<br> EAKI Eastern Kingbird (Tyrannus tyrannus)<br> EAPH Eastern Phoebe (Sayornis phoebe)<br> EVGR Evening Grosbeak (Coccothraustes vespertinus)<br> FOSP Fox Sparrow (Passerella iliaca) ‡<br> GCKI Golden-crowned Kinglet (Regulus satrapa) ‡<br> GCTH Gray-cheeked Thrush (Catharus minimus) ‡<br> GRAJ Gray Jay (Perisoreus canadensis) ‡<br> HETH Hermit Thrush (Catharus guttatus) ‡<br> HOLA Horned Lark (Eremophila alpestris) ‡<br> LCSP Le Conte's Sparrow (Ammodramus leconteii)<br> LEFL Least Flycatcher (Empidonax minimus)<br> LISP Lincoln's Sparrow (Melospiza lincolnii) ‡<br> MAWA Magnolia Warbler (Setophaga magnolia)<br> MOWA Mourning Warbler (Geothlypis philadelphia)<br> NAWA Nashville Warbler (Oreothlypis ruficapilla)<br> NOWA Northern Waterthrush (Parkesia noveboracensis) ‡<br> OCWA Orange-crowned Warbler (Oreothlypis celata) ‡<br> OSFL Olive-sided Flycatcher (Contopus cooperi) ‡<br> OVEN Ovenbird (Seiurus aurocapilla)<br> PAWA Palm Warbler (Setophaga palmarum)<br> PHVI Philadelphia Vireo (Vireo philadelphicus)<br> PIGR Pine Grosbeak (Pinicola enucleator) ‡<br> PISI Pine Siskin (Spinus pinus) ‡<br> PUFI Purple Finch (Carpodacus purpureus)<br> RBGR Rose-breasted Grosbeak (Pheucticus ludovicianus)<br> RBNU Red-breasted Nuthatch (Sitta canadensis) ‡<br> RCKI Ruby-crowned Kinglet (Regulus calendula) ‡<br> REVI Red-eyed Vireo (Vireo olivaceus)<br> RUBL Red-winged Blackbird (Agelaius phoeniceus) ‡<br> RWBL Rusty Blackbird (Euphagus carolinus) ‡<br> SAVS Savannah Sparrow (Passerculus sandwichensis) ‡<br> SOSP Song Sparrow (Melospiza melodia)<br> SWSP Swamp Sparrow (Melospiza georgiana)<br> SWTH Swainson's Thrush (Catharus ustulatus) ‡<br> TEWA Tennessee Warbler (Oreothlypis peregrina)<br> TRES Tree Swallow (Tachycineta bicolor) ‡<br> VATH Varied Thrush (Ixoreus naevius) ‡<br> VESP Vesper Sparrow (Pooecetes gramineus)<br> WAVI Warbling Vireo (Vireo gilvus)<br> WCSP White-crowned Sparrow (Zonotrichia leucophrys) ‡<br> WETA Western Tanager (Piranga ludoviciana)<br> WEWP Western Wood-Pewee (Contopus sordidulus) ‡<br> WIWA Wilson's Warbler (Cardellina pusilla) ‡<br> WIWR Winter Wren (Troglodytes hiemalis)<br> WTSP White-throated Sparrow (Zonotrichia albicollis)<br> WWCR White-winged Crossbill (Loxia leucoptera) ‡<br> YBFL Yellow-bellied Flycatcher (Empidonax flaviventris)<br> YRWA Yellow-rumped Warbler (Setophaga coronata) ‡<br> YWAR Yellow Warbler (Setophaga petechia) ‡</p> <p>‡ symbols denote the 38 species currently breeding in the Alaskan boreal region.<br> </p>
Leaf responses to mild drought stress in natural variants of Arabidopsis.
<p>Plant growth and crop yield are negatively affected by a reduction in water availability. However, a clear understanding of how growth is regulated under non-lethal drought conditions is lacking. Recent advances in genomics, phenomics and transcriptomics allow in-depth analysis of natural variation. In this study, we conducted a detailed screening of leaf growth responses to mild drought in six <em>Arabidopsis thaliana</em> accessions. </p> <p>The raw phenotyping can be found in:<br> - cellularData.txt -> mature (22 days after stratification; DAS) leaf epidermis (third leaf) analysed for cell area, cell number, pavement cell area, pavement cell number, stomatal index and leaf area of the analysed leaf.</p> <p>- leaf3_maturity.txt -> area of the third leaf at maturity (22DAs) in mm<sup>2.</sup></p> <p>- leaf3_transition.txt -> area of the third leaf at transition (last day of cell proliferation; 11 DAS) in mm<sup>2</sup>.</p> <p>- rosetteArea.txt -> projected rosette area (mm<sup>2</sup>) over time (from 9-21DAS).</p> <p>The phenotyping results have been normalised for batch effects ('experiment' in raw data) and are found in cellularData_normalised.txt, leaf3_normalised.txt and rosetteArea_normalised.txt.</p> <p>Conversion from accession names (indiated as genotype in the data files) to the ID number used in the 1001genomes project (www.1001genomes.org) can be found in accessionIDs.txt.</p> <p>In each file 'C' indicates well-watered plants, while 'S' stand for mild-drought treatment.</p> <p>These results and methodological results are described in Clauw et al. (2015, Plant Physiology).</p> <p> </p> <p> </p>
Cortical mechanisms of smooth eye movements revealed by dynamic covariations of neural and behavioral responses
<p>Neural activity in the frontal eye fields controls smooth pursuit eye movements, but the relationship between single neuron responses, cortical population responses, and eye movements is not well understood. We describe an approach to dynamically link trial-to-trial fluctuations in neural responses to parallel variations in pursuit and demonstrate that individual neurons predict eye velocity fluctuations at particular moments during the course of behavior, while the population of neurons collectively tiles the entire duration of the movement. The analysis also reveals the strength of correlations in the eye movement predictions derived from pairs of simultaneously recorded neurons and suggests a simple model of cortical processing. These findings constrain the primate cortical code for movement, suggesting that either a few neurons are sufficient to drive pursuit at any given time or that many neurons operate collectively at each moment with remarkably little variation added to motor command signals downstream from the cortex.</p>
Harmful algae niche response(s) to environmental and community variation along the French coast. Dataset
<p>The data-set is composed of three tables, Environmental variables, Phytoplankton ( in log+1 abundance) and the coordinates of the station used in the study. They were made after the pre-processing*. See articles for more information.</p>
Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves
<p>All data used in paper "Changes in Permeability Caused by Two Consecutive Earthquakes – Insights from the Responses of a Well-Aquifer System to Seismic Waves".</p>
PsPM-HRM_IAPS: SCR, ECG and respiration measurement in response to aversive/arousing/neutral IAPS pictures
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements for each of 23 healthy unmedicated participants (10 males and 13 females aged 22.6 +/- 3.9 years, age is misprinted in Paulus et al. 2016) in response to the 16 most arousing negative, the 16 most arousing positive (excluding explicit nude), and the 16 least arousing neutral IAPS pictures, presented for 1 s each. ITI was selected randomly on each trial from 43 s, 45 s or 47 s.</p>
Supplementary Materials for: A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children
<p>Supplemental Tables and Figures for the clinical research article: <strong>A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children</strong></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.