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1,936 results for “environmental data”

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zenodo40/100

Data from Environmental Outcomes of the U.S. Renewable Fuel Standard

Data and figures associated with the paper "Environmental Outcomes of the U.S. Renewable Fuel Standard" by Lark et al.

opencc-by-4.0Dec 2021View details →

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Data for Nicola Chinook Ricker stock-recruit model with environmental covariates

<ol> <li>Climate change and human activities are transforming river flows globally, with potentially large consequences for freshwater life. To help inform watershed and flow management, there is a need for empirical studies linking flows and fish productivity.</li> <li>We tested the effects of river conditions and other factors on 22 years of Chinook salmon productivity in a watershed in British Columbia, Canada.</li> <li>Freshwater conditions during adult salmon migration and spawning, as well as during juvenile rearing, explained a large amount of variation in productivity.</li> <li>August river flows while salmon fry reared had the strongest effect on productivity – our model predicted that cohorts that experience 50% below average flow in the August of rearing have 21% lower productivity.</li> <li>These contemporary relationships are set within long-term changes in climate, land use, and hydrology. Over the last century, average August river discharge decreased by 26%, air temperatures warmed, and water withdrawals increased. 17% of the watershed was logged in the last 20 years. </li> <li>Our results suggest that, in order to remain stable, this Chinook salmon population being assessed for legal protection requires substantially higher August flow than previously recommended. Changing flow regimes – driven by watershed impacts and climate change – can threaten imperiled fish populations.</li> </ol>

opencc-zeroDec 2021View details →

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Life cycle-based environmental impacts of energy scenarios - additional data

This data set documents additional results of the paper "Life cycle-based environmental impacts of energy system transformation strategies for Germany: Are climate and environmental protection conflicting goals?" (Tobias Naegler and co-authors, published in Energy Reports (2020), https://doi.org/10.1016/j.egyr.2022.03.143). It shows life cycle-based environmental impacts for 10 different transformation strategies for the German energy and transport system.

opencc-by-4.0Feb 2022View details →

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Scenario data for article: Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future

This dataset contains the background scenarios for metal supply used for the publication <a href="https://doi.org/10.1111/jiec.13181">"Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future"</a> in the Journal of Industrial Ecology (2021). Scenario description: These background scenarios comprise five variables for the metals of copper, nickel, zinc, and lead for the time period of 2010-2050. These variables are: V1: ore grade decline and energy requirements V2: market shares of primary production locations V3: energy efficiency improvements during smelting and refining V4: market shares of primary production routes V5: market shares of primary and secondary production. The associated <a href="http://doi.org/10.1111/jiec.13181">article</a> in the Journal of Industrial Ecology describes the modelling assumptions and data sources of the scenarios. It also conducts impact assessments for future metal supply and low-carbon technologies with these metal scenarios as well as additional electricity supply scenarios from the IAM of <a href="https://models.pbl.nl/image/index.php/Download#IMAGE_input_data_for_the_Prospective_Life_Cycle_Assessment_model">IMAGE</a> from <a href="https://doi.org/10.1111/jiec.12825">Mendoza Beltran et al. (2020)</a> in the background . How to use this dataset: The background scenarios are suitable for the life cycle inventory database of ecoinvent version 3.5 or 3.6 (allocation, cut-off by classification). They can be incorporated into ecoinvent either via the brightway-based module of <a href="https://github.com/PascalLesage/presamples">presamples</a> or using the <a href="https://github.com/LCA-ActivityBrowser">activity-browser</a> and its scenario-based calculation set-up. Thereby, they can be used as background scenarios for any other prospective LCA based on ecoinvent 3.5 or 3.6. Moreover, they can be combined with the electricity supply scenarios of the IAM of <a href="https://models.pbl.nl/image/index.php/Download#IMAGE_input_data_for_the_Prospective_Life_Cycle_Assessment_model">IMAGE</a> from <a href="https://doi.org/10.1111/jiec.12825">Mendoza Beltran et al. (2020)</a> using the <a href="https://github.com/LCA-ActivityBrowser/brightway-superstructure">superstructure approach</a> of the activity-browser (<a href="https://doi.org/10.1007/s11367-021-01974-2">de Koning & Steubing 2020</a>). Before using the dataset, please adjust the "database" columns to the name of your database, e.g. "ecoinvent3.5", and potentially also the "key" columns. Versions of the scenarios applicable to ecoinvent 3.7.1 or 3.8 may be added later. License: The metal supply scenario data is licensed under the CC-BY 4.0 license.

opencc-by-4.0May 2021View details →

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Supplementary Data - Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions

File: 50K_GenotypesEU_raw_UHOH_SoySNP50K.csv.tgz Genotyping data of SoySNP50k SNP array of 170 European soybean varieties. The array includes 51.955 SNP markers. Genotypes of each variety are in columns and each row is a SNP marker. Naming of markers follows the annotation of the soybean genome. File: EUvarieties_infos.csv Description of European varieties Contains variety name, country of origin, EU region and maturity group assignment.   File: Supplementary_Data_Haupt_Schmid.xlsx Additional data derived from data analysis. Description of data contained within file (Worksheet "Summary")

opencc-by-4.0Feb 2022View details →

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Lancer Park (Environmental Education Center) Weather Data from 2021-11-19 to 2022-01-06

General Metadata for Lancer Park Environmental Education Center Atmospheric Sampling Station Files Specific metadata for each deployment can be found as text files with the file format of: <pre><code>LP_weather_YYYY-MM-DD_metadata.txt</code></pre> Where YYYY-MM-DD is the date that the sampling period ended. Metadata File Created <ul> <li>2019-10-27 by KF</li> </ul> File Modified Description These data are from a weather station installed at the Longwood University Environmental Education Center at Lancer Park (37.308189, -78.402768) as part of the Longwood Environmental Observatory. All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a> Station Specifics The specific at each site are: <pre><code>* Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300 * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300 * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor * Data Collection - Campbell Scientific CR200 Data Logger * The sensors are sampled every 15 minutes</code></pre> Measurement Parameters, units, and Variable Names <pre><code>* DATE - the date that the record was collected (YYYY-MM-DD) * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS) * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data. * BattV_Avg - The average battery voltage (Volts) * BattV - The battery voltage at the time of the sampling (Volts) * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg) * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg) * BP_mmHg - The barometric pressure at the time of the sampling (mmHg) * Rain_mm_Tot - The total rainfall during the sampling interval (mm) * AirTC_Avg - The average air temperature during the sampling interval (dC) * AirTC_Std - The standard deviation of the average air temperature (dC) * AirTC - the air temperature at the time of the sampling (dC) * RH - the relative humidity at the time of the sampling (%) * RH_Min - the minimum relative humidity recorded (%) * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS) * RH_Max - the maximum relative humidity recorded (%) * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS) * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data. * BattV_Min - the minimum battery voltage (Volts) * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2) * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2) * SlrkW - the light flux density at the time of the sampling (kW/m^2) * SlrMJ_Tot - the total light flux (MJ/m^2) * WS_ms_Avg - the average wind speed during the sampling interval (m/s) * WS_ms_Std - the standard deviation of the average wind speed (m/s) * WS_ms - the wind speed at the time of the sampling event (m/s) * WindDir - the wind direction at the time of the sampling event (degrees from true N) * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s) * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N) * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)</code></pre>

opencc-by-4.0Feb 2022View details →

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Data from: Metabarcoding of soil environmental DNA replicates plant community variation but not specificity

<blockquote> While metabarcoding of plant DNA from their environment is an exciting method that can supplement inventorying of live plant species, the accuracy and specificity has yet to be fully assessed over complex continuous landscapes. In this work, we evaluate plant community profiles produced via metabarcoding of soil by comparing them to a morphological survey. We assessed plant communities by metabarcoding of soil DNA in 130 sites along ecological gradients (nutrients, succession, moisture) in Denmark using chloroplast trnL region (10-143 bp) primer set and compared the resulting communities to communities produced with a longer nuclear ITS2 region (~216 bp) and a morphological survey. We found that the community variation observed within the morphological survey was well represented by molecular surveys, with significant correlation with both community composition and richness using both primer sets. While the majority of the ITS2 sequences could be assigned to species (over 80%), we had less success with the trnL sequences (70%), which was only possible after restricting the reference database to local species. We conclude that the community profiles produced by metabarcoding can be highly effective in performing large-scale macroecological studies. However, the discovery rates and taxonomic assignments produced via metabarcoding remained inferior to morphological surveys, but manual curation of databases improves the specificity of assignments made by the trnL primers, and improves the accuracy of the assignments made with the ITS2 primers. Finally, we suggest that a greater percentage of named diversity would be recovered by increasing soil sampling with the use of additional universal primer sets. </blockquote>

opencc-zeroFeb 2022View details →

dryad40/100

Data from: Environmental drivers of population-level variation in the migratory and diving ontogeny of an Arctic top predator

The development of migratory strategies that enable juveniles to survive to recruitment is critical for species that exploit seasonal niches. For animals that forage via breath-hold diving this requires a combination of both physiological and foraging skill development. Here, we assess how migratory and dive behaviour develop over the first months of life for a migratory Arctic top predator, the harp seal, tracked using animal-borne satellite relay data loggers. We reveal similarities in migratory movements and differences in diving behaviour between juveniles from breeding populations in the Northwest Atlantic and Greenland Sea. In both regions, periods of resident and transient behaviour during migration were associated with proxies for food availability; sea ice concentration and water depth. However, while ontogenetic development of dive behaviour was similar for both groups of juveniles over the first 25 days, after this time Greenland Sea animals performed shorter and shallower dives and were more closely associated with sea ice than Northwest Atlantic animals. Together, these results highlight the role of both intrinsic and extrinsic factors in shaping early-life behaviour. Differences in the environmental conditions experienced during early-life may shape how populations respond to the rapid changes occurring in the Arctic ocean ecosystem.

opencc-zeroMar 2022View details →

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Data for fitness analyses used in: Environmentally-induced DNA methylation is inherited across generations in water fleas (Daphnia magna)

Data of fitness effects of environmental stressors on Daphnia magna over multiple generations. Ages of first and second reproduction, and sizes of first and second brood were measured and used to calculate replacement rate. This data is part of a study on whole-genome bisulphate sequencing on individual Daphnia magna to assess whether environmentally-induced DNA methylation can persist for up to four generations.

opencc-zeroMar 2022View details →

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Supplementary data for article "Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity" by Scotti A., et al.

Supplementary data for article "Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity" by Scotti A., et al.: - Trait-based distances calculated for each pair of taxa; - CWM, CWM(LN) values, and their difference (CWMDIFF) Refer to the published articles for further details.

opencc-by-4.0Mar 2022View details →

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Lancer Park (Environmental Education Center) Weather Data from 2022-01-06 to 2022-02-14

opencc-by-4.0Mar 2022View details →

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Data from 'Disparate inventories of hypoxia gene sets across corals align with inferred environmental resilience'

Aquatic deoxygenation has been flagged as an overlooked but key factor driving mass bleaching-induced coral mortality as oxygen supplies lower to concentrations that can elicit an aerobic metabolic crisis i.e., hypoxia. Surprisingly little is known of the fundamental hypoxia responsive gene set inventory corals possess to respond to deoxygenation. It is unclear whether variation in gene copy number across species exist that potentially affect gene expression with subsequent differences in the effectiveness of a given stress response. Here, we used an ortholog-based meta-analysis to investigate how hypoxia gene inventories differed amongst coral species to assess putative copy number variation (CNV) across 24 coral protein sets from species with a sequenced genome that span corals from the robust and complex clade. We found approximately a third of the investigated genes exhibited copy number differences, and these differences were species-specific rather than the robust-complex split. Zipped folders of OrthoFinder results: 'Results_Feb16' contains results including all 24 coral species from 7 genera (Acropora, Pocillopora, Stylophora, Montastrea, Montipora, Obricella, Porites). 'gene_sets_acropora_acuminata_only' contains results including just one species per genera with Acropora acuminata. 'gene_sets_acropora_cytherea_only' contains results including just one species per genera with Acropora cytherea. 'gene_sets_acropora_digitifera_only' contains results including just one species per genera with Acropora digitifera.   Results and Interpretations from these analyses are published open access here: <a href="https://doi.org/10.3389/fmars.2022.834332">https://doi.org/10.3389/fmars.2022.834332</a> Full citation: Alderdice R, Hume BCC, Kühl M, Pernice M, Suggett DJ, Voolstra CR. Disparate inventories of hypoxia gene sets across corals align with inferred environmental resilience. Front Mar Sci. 2022;9. doi:10.3389/fmars.2022.834332 Scripts are available here: <a href="https://zenodo.org/record/6396671#.YoYpoS8RoZg">https://github.com/didillysquat/alderdice_2021</a>

opencc-by-4.0Mar 2022View details →

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Environmental data at the sampling event level collected with Inline instruments, almanach, models and satellites during the Tara Pacific Expedition 2016-2018

The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide at the sampling event level, the environmental data originating from all instruments acquiring continuously during the full course of the campaign. This dataset is augmented with the addition of variables originating from almanach (local sun/moon set/rise, local zenith), from operational models obtained from Copernicus Marine Services, but also from satellite imagery (MODIS-AQUA satellite - Level 3 mapped product, 8 day average, 4km resolution) at <a href="https://oceandata.sci.gsfc.nasa.gov">https://oceandata.sci.gsfc.nasa.gov</a>. The zone corresponding to the station position and date was recovered either by taking a two pixel buffer around the given location (total zone being a 5 by 5 pixels square of 20 km side) and in order to propose an alternative measure in the inevitable case where clouds were present an alternative 12 pixels buffer was taken (total zone being a 25 by 25 pixels square of 100 km side). All data were provided as mean, standard deviation (sd) together with 0.05, 0.25, 0.5, 0.75 and 0.95 quartiles

opencc-by-4.0Apr 2022View details →

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Data from: Improving inferences and predictions of species environmental responses with occupancy data

Occupancy models represent a useful tool to estimate species distribution throughout the landscape. Among them, MacKenzie et al.'s model (2002, MC), is frequently used to infer species environmental responses. However, the assumption that detection probability is homogeneous or fully explained by covariates may limit its performance. Species should be more easily observed at sites with a higher number of individuals. We simulated data following Royle and Nichols (2003) occupancy model (RN) that accounts for abundance-driven heterogeneous detection and two variants with overdispersion in the detection probability and local abundances. Then, we compared the performance of the MC model against that of RN. In addition to model misspecifications, insufficient information in data (i.e. infrequent detections) can limit our ability to detect existing effects with affordable sampling designs. To deal with this source of error, we extended RN approach to a community-level joint species model (RN-JSM), where species responses and detectability depended on their traits and phylogeny. Then, we tested RN-JSM performance in simulated and out-of-sample field data. High abundance-driven heterogeneity in detection (i.e. common and secretive species) limited the ability of the MC model to quantify covariate effects; especially, when the number of visits was low. Both models (MC and RN), often failed to detect existing effects when data were overdispersed. Moreover, the RN model consistently lacked sufficient power when analyzing data from uncommon species (even when simulations and model specifications perfectly matched). This problem was solved by our RN-JSM, which yielded more precise and accurate estimates of species environmental responses. Increased accuracy in rare species held when the RN-JSM was tested with real and out-of-sample datasets. In the light of our results, we propose: (i) for common and secretive species analyze occupancy data with the RN model and prioritize revisiting sites; (ii) for species that may have overdispersed detectability or local abundances (e.g. with correlated behaviors or occurring in clusters), apply RN extensions that account for this extra variation (e.g. Poisson-beta or zero-inflated models). Finally, (iii) for uncommon species (mean abundances < 1), whenever possible, gather data at the community level and apply joint-species modeling techniques.

opencc-zeroApr 2022View details →

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Twitter data reveal six distinct environmental personas

Effective digital environmental communication is integral to galvanizing public support for conservation in the age of social media. Environmental advocates require messaging strategies suited to social media platforms, including ways to identify, target, and mobilize distinct audiences. Here, we provide – to the best of our knowledge – the first systematic characterization of environmental personas on social media. Beginning with 1 million environmental nongovernmental organization (NGO) followers on Twitter, of which 500,000 users met data quality criteria, we identified six personas that differ in their expression of 21 environmental issues. General consistency in the proportional composition of personas was detected across 14 countries with sufficiently large samples. Within the US, although the six personas varied in their mean political ideology, we did not observe that the personas split along political party lines. Our results pave the way for environmental advocates – including NGOs, public agencies, and researchers – to use audience segmentation methods like the one discussed here to target and tailor messages to distinct constituencies at speed and scale. This repository contains several tabular files that can be used to query user data from Twitter or reproduce the main results in the main text of the article.

opencc-zeroMay 2022View details →

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Data from: Periodic environmental disturbance drives repeated ecomorphological diversification in an adaptive radiation of Antarctic fishes

The ecological theory of adaptive radiation has profoundly shaped our conceptualization of the rules that govern diversification. However, while many radiations follow classic early burst patterns of diversification as they fill ecological space, the longer-term fates of these radiations depend on many factors, such as climatic stability. In systems with periodic disturbances, species-rich clades can contain nested adaptive radiations of subclades with their own distinct diversification histories, and how adaptive radiation theory applies in these cases is less clear. Here, we investigated patterns of ecological and phenotypic diversification within two iterative adaptive radiations of cryonotothenioid fishes in Antarctica's Southern Ocean: crocodile icefishes and notoperches. For both clades, we observe evidence of repeated diversification into disparate regions of trait space between closely related taxa and into overlapping regions of trait space between distantly related taxa. We additionally find little evidence that patterns of ecological divergence are correlated with evolution of morphological disparity, suggesting that these axes of divergence may not be tightly linked. Finally, we reveal evidence of repeated convergence in sympatry that suggests niche complementarity. These findings reflect the dynamic history of Antarctic marine habitats, and may guide hypotheses of diversification dynamics in environments characterized by periodic disturbance.

opencc-zeroMay 2022View details →

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Scenario data for article: Effects of the energy transition on environmental impacts of cobalt supply: A prospective Life Cycle Assessment study on future supply of cobalt

This dataset contains the background data for the paper '<a href="https://onlinelibrary.wiley.com/doi/10.1111/jiec.13258">Effects of the energy transition on environmental impacts of the cobalt supply: A prospective Life Cycle Assessment study on the future cobalt supply</a>' as published in the Journal of Industrial Ecology. Please note that an easier to use version of this data for LCA is available through the Premise (<a href="https://www.sciencedirect.com/science/article/pii/S136403212200226X">Sacchi et al. 2022</a>) Community Scenarios <a href="https://github.com/premise-community-scenarios/cobalt-perspective-2050">here</a>. This version is slightly adapted to fit into the Premise architecture and is compatible with ecoinvent v3.8 cutoff. This repository contains: <ul> <li>Python code + readme to model the variables, generate presamples packages and generate LCA results based on those. (code folder)</li> <li>Input and output data for Variables 1-3 (files 1&2)</li> <li>Presamples excel sheets for each variable/scenario combination (file 3)</li> <li>Summarized LCA results (the full results can be generated through running the code provided) (file 4)</li> <li>Full LCA results used for the contribution analysis (file 5)</li> <li>Underlying data for each of the figures (file 6)</li> </ul> We refer to the paper (linked above) for more information on the study.   License: The metal supply scenario data is licensed under the CC-BY 4.0 license. Access: Open access   [Changelog] 2023-03-23 - 1.3.1: Add link to Premise Community scenario page. 2022-05-18 - 1.3.0: Fix minor error in data files '4 - LCA results' and '6 - Figure data' in demand amounts for total impacts. 2022-04-06 - 1.2.1: Included link to article after publication 2022-03-30 - 1.2.0: Included underlying figure data 2022-01-24 - 1.1.1: Opened repository after paper acceptance 2021-11-26 - 1.1.0: Update of code to comply with peer-review 2021-07-12 - 1.0.0: Set-up of repository

opencc-by-4.0Jul 2021View details →

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Data and R-scripts from: Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions

This contains data and R-scripts used in: <ul> <li>Bård-Jørgen Bårdsen and Jan Ove Bustnes (2022). Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology.</li> </ul> This study assessed the population viability of a population of the lesser black-backed gull (Larus fuscus fuscus) using data collected during 2005-2020 from a nature reserve in Northern Norway. The study merged results from statistical analyses of empirical data with a Leslie model. Here, we provide the underlying data, and the R-scripts used to analyse the data and run the model. The data set include information about reproduction at several stages (laying, hatching and fledgling), nest predation, and individual capture histories (used to estimate apparent survival; see <a href="https://doi.org/10.1111/jav.02953">Bårdsen and Bustnes 2022</a>).

opencc-zeroJun 2022View details →

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All raw data for Fukuzawa, T et al. "Environmental DNA extraction method for a high and stable DNA yield"

The all raw data of quantitative PCR for environmental DNA in Fukuzawa, T et al. "Environmental DNA extraction method for a high and stable DNA yield".

opencc-by-4.0Jun 2022View details →

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Cross-site Canopy Leaf Temperature and associated Environmental Data

This dataset includes canopy leaf temperature along with meteorology, flux, and radiation data from 6 forest sites in North and Central America. Canopy temperature (Tcan) data are based on thermal images to understand how Tcan varies with Tair and with environmental conditions. Importantly, these measurements span multiple growing seasons and are near-continuous in nature, as they were collected by thermal cameras mounted on eddy covariance towers that also measured a wide range of co-located environmental variables, including Tair, relative humidity, wind speed and direction, short- and long wave radiation, soil moisture and temperature, and ecosystem-atmosphere exchanges of CO2, H2O, and energy. We necessarily averaged multiple leaves in each region of interest at each site, and we then averaged multiple thermal images into hourly data, so some extremes in Tcan are not captured.

opencc-by-4.0Dec 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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