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368 results for “wildfires”

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zenodo36/100

Output data for: Flammable Futures – Storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia

<p>This repository contains the output data associated with the publication "Flammable Futures &ndash; Storylines of climatic impacts on wildfire events and palm oil plantations in Indonesia". It contains the FLAM modeled burned area and the GLOBIOM output, as well as the a downscaling grid.</p> <p>Descriptions of the results can be found in the publication (DOI will follow).</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

In-Plume Profiling Methodology: Ensuring Firefighter Safety During Pyroconvective Extreme Wildfire Events

<p>dataset for the paper: <span>In-Plume Profiling Methodology: Ensuring Firefighter Safety During Pyroconvective Extreme Wildfire Events</span></p> <p>&nbsp;</p> <p><span>It includes the radiosonde flight files used in the methodology</span></p> <p><span>It includes the videos of radiosondes launching as complementary materials</span></p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Finkler et al. Short-term Effects of Wildfire on Ecosystem Functioning in a Tropical Headwater Stream.

<p>Dataset used for the manuscript "Short-term Effects of Wildfire on Ecosystem Functioning in a Tropical Headwater Stream" by Finkler et al.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Human-related ignitions increase the number of large wildfires across U.S. ecoregions

<p>This data&nbsp;was used in the analysis in&nbsp;the article &quot;Human-related ignitions increase the number of large wildfires across U.S. ecoregions&quot; by R. Chelsea Nagy, Emily Fusco, Bethany Bradley, John T. Abatzoglou, and Jennifer Balch. This article was accepted for publication in the journal Fire on 22 January 2018.</p>

opencc-by-4.0Jan 2018View details →
zenodo36/100

Data and code: Outbreak and Wildfire Severity BC

<p>This is the first release of data and code for outbreak severity and wildfire severity in British Columbia.</p> <p>This file contains code and data for original research evaluating the effect of mountain pine beetle outbreaks on wildfire severity in British Columbia, Canada that was published in Ecosphere.</p> <p><br> Citation for data and code: Talucci, A. C. 2019. Data and code: Outbreaks and wildfire British Columbia. GitHUB Repository. https://github.com/taluccia/outbreak-wildfire-severity-BC/releases/tag/v1.0.0. 10.5281/zenodo.2648051</p> <p>Access Ecosphere paper: https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ecs2.2744</p>

openother-openApr 2019View details →
zenodo36/100

Data from the article "Short-interval wildfire and drought overwhelm boreal forest resilience" Whitman et al., Scientific Reports, 2019

<p>Field data collected in the Northwest Territories and Wood Buffalo National Park, as well as plot locations, for the study &quot;Short-interval wildfire and drought overwhelm boreal forest resilience&quot; by Whitman et al. in Scientific Reports, 2019.</p> <p>For metadata or assistance please contact the authors. If you intend to publish research using these data, please contact and inform the authors, and cite the source article.</p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

Data and code for "Contrasting Chlorine Chemistry on Volcanic and Wildfire Aerosols in the Southern Mid-Latitude Lower Stratosphere"

<p>Data and code for the paper entitled "Contrasting Chlorine Chemistry on Volcanic and Wildfire Aerosols&nbsp;in the Southern Mid-Latitude Lower Stratosphere"</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Code for "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions"

<p>This repository includes the codes used to produce the results in Virkkala et al. (2024) in review. "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions" (preprint: https://doi.org/10.1101/2024.02.09.579581). In short, there are R codes used to train random forest models, estimate importance scores and partial dependences for the variables, assess model predictive performance and uncertainties, predict (i.e. upscale) with the models and summarize model outputs using R version 4.2. Note that some of the datasets and results (e.g. monthly geospatial predictors or upscaling outputs) were not included in the repository due to their large file size (hundreds of GBs). Therefore, some of the paths to the files included in the codes are not working. These additional files are available from the corresponding author upon request.&nbsp;</p> <p><strong>Folder structure:</strong></p> <p><em>flux_upscaling_data</em>: includes the model training data, i.e. in-situ data as well as environmental data extracted from geospatial datasets</p> <p><em>abcflux_modeling: </em>includes the R analysis scripts in the codes-folder</p> <p><em>abcflux_modeling_bigfiles:&nbsp;</em>includes the key results and figures produced by the scripts</p> <p><strong>More details from avirkkala@woodwellclimate.org and from manuscript:</strong></p> <div>Anna-Maria&nbsp;Virkkala,&nbsp;Brendan M.&nbsp;Rogers,&nbsp;Jennifer D.&nbsp;Watts,&nbsp;Kyle A.&nbsp;Arndt,&nbsp;Stefano&nbsp;Potter,&nbsp;Isabel&nbsp;Wargowsky,&nbsp;Edward A. G.&nbsp;Schuur,&nbsp;Craig&nbsp;See,&nbsp;Marguerite&nbsp;Mauritz,&nbsp;Julia&nbsp;Boike,&nbsp;Syndonia M.&nbsp;Bret-Harte,&nbsp;Eleanor J.&nbsp;Burke,&nbsp;Arden&nbsp;Burrell,&nbsp;Namyi&nbsp;Chae,&nbsp;Abhishek&nbsp;Chatterjee,&nbsp;Frederic&nbsp;Chevallier,&nbsp;Torben R.&nbsp;Christensen,&nbsp;Roisin&nbsp;Commane,&nbsp;Han&nbsp;Dolman,&nbsp;Bo&nbsp;Elberling,&nbsp;Craig A.&nbsp;Emmerton,&nbsp;Eugenie S.&nbsp;Euskirchen,&nbsp;Liang&nbsp;Feng,&nbsp;Mathias&nbsp;Goeckede,&nbsp;Achim&nbsp;Grelle,&nbsp;Manuel&nbsp;Helbig,&nbsp;David&nbsp;Holl,&nbsp;J&auml;rvi&nbsp;J&auml;rveoja,&nbsp;Hideki&nbsp;Kobayashi,&nbsp;Lars&nbsp;Kutzbach,&nbsp;Junjie&nbsp;Liu,&nbsp;Ingrid&nbsp;Liujkx,&nbsp;Efr&eacute;n&nbsp;L&oacute;pez-Blanco,&nbsp;Kyle&nbsp;Lunneberg,&nbsp;Ivan&nbsp;Mammarella,&nbsp;Maija E.&nbsp;Marushchak,&nbsp;Mikhail&nbsp;Mastepanov,&nbsp;Yojiro&nbsp;Matsuura,&nbsp;Trofim&nbsp;Maximov,&nbsp;Lutz&nbsp;Merbold,&nbsp;Gesa&nbsp;Meyer,&nbsp;Mats B.&nbsp;Nilsson,&nbsp;Yosuke&nbsp;Niwa,&nbsp;Walter&nbsp;Oechel,&nbsp;Sang-Jong&nbsp;Park,&nbsp;Frans-Jan W.&nbsp;Parmentier,&nbsp;Matthias&nbsp;Peichl,&nbsp;Wouter&nbsp;Peters,&nbsp;Roman&nbsp;Petrov,&nbsp;William&nbsp;Quinton,&nbsp;Christian&nbsp;R&ouml;denbeck,&nbsp;Torsten&nbsp;Sachs,&nbsp;Christopher&nbsp;Schulze,&nbsp;Oliver&nbsp;Sonnentag,&nbsp;Vincent&nbsp;St.Louis,&nbsp;Eeva-Stiina&nbsp;Tuittila,&nbsp;Masahito&nbsp;Ueyama,&nbsp;Andrej&nbsp;Varlagin,&nbsp;Donatella&nbsp;Zona, and Susan M.&nbsp;Natali. An increasing Arctic-boreal CO<sub>2</sub> sink offset by wildfires and source regions.</div> <div>bioRxiv&nbsp;2024.02.09.579581;&nbsp;doi:&nbsp;https://doi.org/10.1101/2024.02.09.579581</div>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Resources for "BMF CP 93: Characteristics of people likely to reduce outdoor activities due to wildfire smoke"

<p>The current study is conducted to examine the following research questions:</p> <ul> <li>Who were people more likely to reduce outdoor activities during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> <li>Who were people having more days with reduced outdoor activities during the smoke event in the summer of 2018 in the Boise Metropolitan Area in Idaho?</li> </ul>

opencc-by-4.0Sep 2024View details →
zenodo36/100

CARB forest offset project wildfire risk ratings

<p>Wildfire risk reversal ratings assigned to forest offset projects participating in California's forest carbon offset program.&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Data and Code: British Columbia beetle outbreaks and wildfires

<p>No description provided.</p>

openapache2.0Dec 2021View details →
dryad36/100

Data from: Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland

<p>This dataset is published in conjunction with the publication of : Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. <em>Ecology and Evolution, </em>and contains the environmental, botanical and entomological datasets underpinning the analysis contained there in. Additionally, it contains datasets on seedbanks and bird species which were collected as part of the Northern Ireland Environment Agency funded project 'Quantifying the impact of wildfires in the Northern Ireland' from 2012 to 2015 (see: <a href="https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016">https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016</a>)</p> <p>This data underpins the following publications which discuss the impacts of wildfires at these key upland sites in Northern Ireland: </p> <ul> <li>Kelly, R., Boston, E., Montgomery, W. I., &amp; Reid, N. (2016). The role of the seed bank in recovery of temperate heath and blanket bog following wildfires. Applied Vegetation Science, 19(4), 620-633.  <a href="https://doi.org/10.1111/avsc.12242">https://doi.org/10.1111/avsc.12242</a> </li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2018). Differences in soil chemistry remain following wildfires on temperate heath and blanket bog sites of conservation concern. Geoderma, 315, 20-26. - <a href="https://doi.org/10.1016/j.geoderma.2017.11.016" rel="noreferrer noopener" title="Persistent link using digital object identifier">https://doi.org/10.1016/j.geoderma.2017.11.016</a> </li> <li>Reid, N., Kelly, R. &amp; Montgomery, W.I. (2022) Impact of wildfires on ecosystems and bird communities on designated areas of blanket bog and heath. Bird Study (In press)</li> <li>Kelly, R., Montgomery, W. I., &amp; Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. Ecology and Evolution. (In press)</li> </ul> <p>Data were collected and collated by Ruth Kelly (ruth.kelly@afbini.gov.uk/ruthkelly123@gmail.com) in collaboration with Dr. Neil Reid, Dr. Emma Boston, Prof. W.I. Montgomery (Queen's University Belfast) and Dr. Damian Mc Ferran (National Museums of Northern Ireland). We are also very grateful to Roy Anderson, Orla McLaughlin, Anna Hart, Rachel Hamill, Adam Mantell, Tony Smith, Joanne Denyer and Richard Weyl for their expertise and assistance in species identification, and to Gillian Riddell, Caroline Finlay, Florentine Spaans, Jeremy Adelard, Marion Chapalain, Alice McPherson, Claire McVeigh, Amber Woods and Rachel Hamill for assistance and expertise in the laboratory and field. </p>

opencc-zeroJan 2023View details →
dryad36/100

Wildfire disturbance reveals evidence of ecosystem resilience and precariousness in a forest-grassland mosaic

<p>Forest and grassland ecosystems are sometimes located adjacently within the same climate. In interior British Columbia, Canada, there are complex forest-grassland mosaics within the Interior Douglas-fir biogeoclimatic zone. Historically, both grassland and forest ecosystems experienced high-frequency, low-severity fire regimes. Since European settlement and introduction of livestock grazing and fire exclusion, trees have encroached on grasslands, and tree densities in forests have increased. In this study, we characterize plant communities and near-surface soil moisture in forest and grassland sites, and in historical grassland sites affected by tree encroachment. We hypothesized that spatial and temporal patterns of near-surface soil moisture are reflected in above-ground plant community composition and structure. After initial sampling of soil moisture and plant communities, the study area was burned in a wildfire. Applying a multifactorial approach to comparing adjacent grassland and forest sites, we treated the wildfire event as a natural experiment, sampling post-wildfire plant species composition and soil moisture, and measuring the severity and spatial heterogeneity of surface burn conditions. Evidence supports the concept of mutually exclusive fire-reinforced bi-stable grassland and forest states, with greater spatial heterogeneity of soil moisture and burn severity in forests, and highly uniform patterns of soil moisture, vegetation, and burn severity in grasslands. Areas of forest encroachment on grasslands had understory plant communities dominated by exotic species, while restored grasslands had native bunchgrass cover like typical grasslands of the region. Additionally, there was post-wildfire divergence of forest- and grassland- associated plant communities. Viewed through a resilience theory conceptual framework, we suggest that ecosystem legacies are reinforcing post-wildfire ecosystem identity and associated native plant communities. External factors - particularly past heavy livestock grazing and fire suppression - have caused ecosystem precariousness that can be addressed with management actions.</p>

opencc-zeroJan 2023View details →
dryad36/100

Data From: Spot-fire distance increases disproportionately for wildfires compared to prescribed fires as grasslands transition to Juniperus woodlands

<p>Woody encroachment is one of the greatest threats to grasslands globally, depleting a suite of ecosystem services, including forage production and grassland biodiversity. Recent evidence also suggests that woody encroachment increases wildfire danger, particularly in the Great Plains of North America, where highly volatile <em>Juniperus</em> spp. convert grasslands to an alternative woodland state. Spot-fire distances are a critical component of wildfire danger, describing the distance over which embers from one fire can cause a new fire ignition, potentially far away from fire suppression personnel. We assess changes in spot-fire distances as grasslands experience <em>Juniperus</em> encroachment to an alternative woodland state and how spot-fire distances differ under typical prescribed fire conditions compared to conditions observed during wildfire. We use BehavePlus to calculate spot-fire distances for these scenarios within the Loess Canyons Experimental Landscape, Nebraska, U.S.A., a <span>73,000-ha </span>ecoregion where private-lands fire management is used to reduce woody encroachment and prevent further expansion of <em>Juniperus</em> fuels. We found prescribed fire used to control woody encroachment had lower maximum spot-fire distances compared to wildfires and, correspondingly, a lower amount of land area at risk to spot-fire occurrence. <span>Under more extreme wildfire scenarios, </span>spot-fire distances were 2 times higher in grasslands, and over 3 times higher in encroached grasslands and <em>Juniperus</em> woodlands compared to fires burned under prescribed fire conditions. <span>Maximum spot-fire distance was 450% greater in Juniperus woodlands compared to grasslands and exposed an additional 14,000 ha of receptive fuels, on average, to spot-fire occurrence within the Loess Canyons Experimental Landscape. This study demonstrates that woody encroachment drastically increases risks associated with wildfire, and that spot fire distances associated with woody encroachment are much lower in prescribed fires used to control woody encroachment compared to wildfires. </span></p>

opencc-zeroMar 2023View details →
dryad36/100

Wildfire impacts on seedbank and vegetation dynamics in Calluna heath

Moorlands dominated by Calluna vulgaris (hereafter Calluna) are globally rare and under increasing threat of wildfires due to climate change. The soil seedbank is important for community resilience, but research on its contribution to regenerating vegetation after moorland fires has, to date, focused on prescribed fire or on the short-term (≤ 2 year) impacts of wildfire. To address the role of the seedbank in long-term vegetation regeneration, we studied a chronosequence of six wildfire sites within a Scottish moorland catchment, ranging from 2 to 64 years since burning. We recorded vegetation composition and sampled the seedbank. Calluna and Erica spp. comprised 66 % and 27 % of germinated seeds, respectively, and the majority of vegetation species were not represented in the seedbank. Canonical Correspondence Analysis (CCA) revealed that time since fire was a strong predictor of vegetation species composition, but it had no effect on seedbank composition, suggesting that the same species dominate the seedbank regardless of burning. Whilst total seed density was not affected by time since wildfire, the effect on the non-Calluna seedbank was more notable. The proportion of non-Calluna species decreased with time in both vegetation and seedbank as Calluna cover was re-established and the seedbank of other species became gradually depleted. Whilst relative non-Calluna cover in the vegetation was at a maximum in recently burnt areas and then declined with time since fire, the species richness and proportion of non-Calluna in the seedbank followed a unimodal pattern after fire and reached a peak after approximately 35 years. Our results contribute to the knowledge of how moorland ecosystems regenerate after severe disturbances, which are likely to become more common as the climate changes.

opencc-zeroMar 2023View details →
dryad36/100

Data: The magnitude and pace of photosynthetic recovery after wildfire in California ecosystems

<p>Wildfire modifies the short- and long-term exchange of carbon between terrestrial ecosystems and the atmosphere, with impacts on ecosystem services such as carbon uptake. Dry western United States forests historically experienced low-intensity, frequent fires, with patches across the landscape occupying different points in the fire-recovery trajectory. Contemporary perturbations, such as recent severe fires in California, could shift the historic stand-age distribution and impact the legacy of carbon uptake on the landscape. Here we combine flux measurements of gross primary production (GPP) and chronosequence analysis using satellite remote sensing to investigate how the last century of fires in California impacted the dynamics of ecosystem carbon uptake on the fire-affected landscape. A GPP recovery trajectory curve of more than five thousand fires in forest ecosystems since 1919 indicated that fire reduced GPP by 157.4 ± 7.3 gCm<sup>-2</sup>yr<sup>-1</sup> (mean ± standard error, n=1926) in the first year after fire, with average recovery to pre-fire conditions after ~12 years. The largest fires in forested ecosystems reduced GPP by 393.8 ± 15.7 gCm<sup>-2</sup>yr<sup>-1</sup> (n=401) and took more than two decades to recover. Recent increases in fire severity and recovery time have led to nearly 9.9 ± 3.5 MMT CO<sub>2</sub> (3-year rolling mean) in cumulative forgone carbon uptake due to the legacy of all fires on the landscape, complicating the challenge of maintaining California's natural and working lands as a net carbon sink. Understanding these changes is paramount to weighing the costs and benefits associated with fuels management and ecosystem management for climate change mitigation.</p>

opencc-zeroApr 2023View details →
zenodo36/100

A laboratory-scale simulation framework for analyzing wildfire hydrologic and water quality effects

<p>Datasets containing&nbsp;information on experimental conditions for each tested soil sample, measured hydrologic and water quality responses, and calculated response metrics.</p>

opencc-by-4.0Apr 2023View details →
dryad36/100

Short-term effects of wildfire on high elevation stream-riparian food webs

<p>Understanding how wildfires affect food web structure and function remains an important challenge, especially at high elevations that historically have burned infrequently. In particular, fires may alter the magnitude of reciprocal cross-ecosystem subsidies, leading to indirect effects on aquatic and terrestrial consumers. We quantified characteristics of high-elevation (2500 to 3000 m) stream-riparian food webs at 10 locations in the southern Rocky Mountains less than one year following high-intensity, stand-replacing wildfires. Using a paired 'burned-unburned' stream survey design, we assessed benthic periphyton, aquatic macroinvertebrate community structure, trout population characteristics, trout stomach contents, inputs and emergence of insects to and from streams, and abundance of predatory riparian spiders that consume aquatic insects. Benthic macroinvertebrate density, flux of emerging aquatic insects, and riparian spider abundances were lower at burned sites. Fluxes of insect inputs entering the stream did not differ with burn status, despite the loss of riparian vegetation due to fire. Trout were somewhat less abundant, but larger on average at burned sites and did not differ in body condition. These results suggest mortality of smaller trout from fire disturbance and/or recolonization of burned sites by larger individuals. Trout showed subtle changes in diet composition with burn status, but no change in biomass or number of prey consumed. In general, burned sites showed greater variation in community characteristics than unburned sites, which may reflect differences in the timing and magnitude of post-fire flooding, erosion, and scouring of the stream bed. Taken together, our results suggest that short-term effects of fire disturbance strongly altered some food web responses, but others appeared relatively resilient, which is notable given the high severity of the wildfires in the study area.</p>

opencc-zeroMay 2023View details →
dryad36/100

Rove beetle (Staphylinidae) assemblages following the cumulative effect of wildfire and linear footprint in Boreal treed peatlands of northeastern Alberta (Canada)

<p>Cumulative effects of anthropogenic and natural disturbances have become increasingly relevant in the context of biodiversity conservation. Oil and gas (OG) exploration and extraction activities have created thousands of kilometers of linear footprints in boreal ecosystems of Alberta, Canada. Among these disturbances, seismic lines (narrow corridors cut through the forest) are one of the most common footprints and have become a significant landscape feature influencing the maintenance of forest interior habitats and biodiversity. <a name="_Hlk118288505"></a>Wildfire is a common stand-replacing natural disturbance in the boreal forest, and as such, it is hypothesized that its effects can mitigate the linear footprint associated with OG exploration, but only a few studies have examined its effectiveness. We studied the short-term (1 year post-fire) response of rove beetle assemblages to the combined effects of wildfire and linear footprint in forest, edge and seismic line habitats at burned and unburned peatlands along the southwest perimeter of the 2016 Horse River wildfire (Fort McMurray). While rove beetle species richness was higher in seismic lines in both burned and unburned habitats compared to the adjacent peatland, diversity was greater only in seismic lines of burned areas. Abundance was lower in the burned adjacent peatland but similarly higher in the remaining habitats. Assemblage composition on seismic lines was significantly different from that in the adjacent forest and edge habitats within both burned and unburned sites. Moreover, species composition in burned seismic lines was different to either unburned lines or burned forest and edge. <a name="_Hlk89787659"></a><em>Euaesthethus laeviusculus</em> and <em>Gabrius picipennis</em> were indicator species of burned line habitats, are sensitive to post-fire landscape and can occupy wet habitats with moss cover more efficiently than when these habitats are surrounded by unburned forest. Although these results are based on short-term responses, they suggest that wildfire did not reduce the linear footprint, and instead, the cumulative effect of these two disturbances had a more complex influence on rove beetle recovery at the landscape level than for other invertebrates. Therefore, continued monitoring of these sites can become useful to evaluate changes over time and to better understand longer-term biodiversity responses to the cumulative effects of wildfire and linear disturbances in boreal treed peatlands, given the long-lasting effect of such disturbances.</p>

opencc-zeroMay 2023View details →
zenodo36/100

Working code and data for a wall-to-wall mapping of carbon loss within the Chornobyl Exclusion Zone after the 2020 catastrophic wildfire

<p>Links to data in this code are from <a href="https://github.com/Janzeero-PhD/C_loss_Chornobyl_2022">GitHub repository</a>. But can be replaced by the files supplied here.</p> <p>Only code to generate models and to create figures for their validation is provided. Also code to create GMFR function (from Riemann et al. 2010 and adapted in Henderson et al. 2019) is provided.</p> <p>Code to: calculate C stock for training and validation data set per biomass compartment; prepare raster data (mostly in Google Earth Engine); make raster predictions; calculate C loss according to local combustion factors and NBR severity levels is available&nbsp;<em>upon request</em>.</p> <p>MetaData.xlsx contains a description of all files within this package, and variable explanation&nbsp;for provided data sets.</p>

opencc-by-4.0May 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record