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600 results for “contaminants”
Mud and organic content are strongly correlated with microplastic contamination in a meandering riverbed - Data sets
<p>This is the dataset relating to publication "Microplastics distribution in a meandering riverbed reveasl mud content as a universal normalizer for microplastic contamination in aquatic environments" by Van Daele, M., Van Bastelaere, B., de Clercq, J., Meyer, I., Vercauteren, M. and Asselman, J.</p> <p>It contains the microplastic and sedimentological data that support the findings of that publication, with a seperate file for data obtained from riberbed sediments and the water column. It further contains a file with all source data for the graphs in the figures of the main manuscript and the Supplementary Information<span><span>.</span></span></p>
Size-dependent effects of oxo-degradable plastic contamination on soil quality and Zea mays L. performance
<p><span>Agricultural plastic mulch films represent a significant source of microplastic contamination in soils, raising concerns about soil health and food security. Oxo-degradable plastics (ODPs) have emerged as a potentially more eco-friendly alternative to conventional plastic mulch films, however, uncertainty remains around the degradation rate of ODPs in soil and their impacts on soil quality and crop health. Using a controlled mesocosm experiment, we evaluated the behaviour and impact of different concentrations of oxo-biodegradable macro- (>10 mm) or micro-plastic (<5 mm) (0.01, 0.1, 1, and 10% w/w) on the performance of <em>Zea mays</em> L. grown in an agricultural soil over a 6-week period. Contrary to expectation, no major fragmentation or degradation of ODP was observed during the experimental period, however, FTIR revealed the formation of carbonyl groups indicative of oxidation. Overall, our results showed that typical levels of plastic contamination (0.01% w/w) had very little effect on soil physicochemical properties, microbial activity or plant performance. However, higher levels of plastic contamination resulted in significant changes in soil pH, EC, NO<sub>3</sub><sup>-</sup>, bulk density, and soil moisture. At extreme plastic loading rates (10% Can you write w/w), both micro- and macro-sized ODPs caused significant reductions in plant height and foliar chlorophyll content, with microplastic treatments showing consistently greater effects than macroplastics. None of the plastic loading rates had an effect on shoot and root biomass or soil NH<sub>4</sub><sup>+</sup> and P concentrations or microbial community structure in comparison to the unamended controls. Our findings indicate that at realistic field concentrations, ODPs are likely to have little effect on agroecosystem functioning but that they may persist in soil for long periods of time leading to their progressive accumulation in agricultural soils if used over repeated cropping cycles. Further research is needed to evaluate the longer-term impacts of ODPs on soil quality and crop health under field conditions.</span></p>
Data set of anthropogenic contaminants in snow from polar regions (Ny-Alesund and Dome C)
<p>The produced dataset (in MS Excel format) contains concentrations of mercury, trace elements and organic contaminants in snow samples collected in the Ny-Alesund area (Svalbard - Norway) (78.917° N 11.933° E) and from the Antarctic Plateau, Dome C (75.103°S, 123.35°E). The Arctic sampling sites are reported in figure 1. The concentrations for trace elements and mercury are in ngg<sup>-1</sup> while for the organic contaminants they are reported in ngL<sup>-1</sup>.</p> <p>The inorganic contaminants dataset reports concentration of Hg, Trace elements and Black Carbon in Arctic and Antarctic site. The Arctic sites are subdivided in annual snow pack on the glacier and surface snow sampling close to the Gruvebadet Aerosol Laboratory. In Antarctica mercury concentrations in surface snow are also reported.</p> <p>The organic contaminants dataset reports the concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) in surface snow samples collected close to the Gruvebadet Aerosol Laboratory (78.91622°N 11.89536°E, Ny Alesund, Norway). Samplings were performed from 04/10/2018 to 13/05/2019, obtaining a total of 35 samples, encompassing the entire winter season with an approximatively weekly resolution. Total PAH (sum of naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, benzo(<em>a</em>)anthracene, chrysene, benzo(<em>b</em>)fluoranthene, benzo(<em>k</em>) fluoranthene, benzo(<em>a</em>)pyrene, benzo(<em>ghi</em>)perylene, indeno(<em>1,2,3-c,d</em>)pyrene and dibenzo(<em>a,h</em>)anthracene) concentrations range from 0.8 to 37 ng L<sup>-1</sup>. Individual PAHs were mean blank corrected and average percentage abundances in the samples are reported in the dataset.</p>
Post-remediation evaluation of contaminated site using geophysical methods: photos
<p>Photos of the research area.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods” </p>
Post-remediation evaluation of contaminated site using geophysical methods: ERT
<p>The ERT measurements (7 profiles: M1-M7) were performed using the LUND electrical imaging system with a SAS 4000 Terrameter produced by ABEM Malå (Guideline Geo) with 0.5 m electrode separation and the Wenner-Schlumberger configuration. </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: Multispectral UAV data Olkusz (Poland) 20220629
<p>In order to analyze the vegetation condition, photos were taken in the infrared (NIR, 750 - 2500 nm) and infrared (Red Edge, 690-720 nm) range. The DJI Matrice 600 platform was used for the raid. The photos were taken from the ceiling of 150 m with the MicaSense Red Edge M camera with a focal length of 6 mm.</p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Post-remediation evaluation of contaminated site using geophysical methods: Digital Elevation Model Olkusz (Poland) 20220629
<p>The Digital Elevation Model is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal<br> length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is a DEM with a 51.1 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). </p> <p>This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”</p>
Ecotoxicity test results for the paper entitled "Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater"
<p>Within the frame of the ELECTRA No. 826244 H2020 project, a sequential reductive/oxidative bioelectrochemical process at a laboratory scale was tested with real groundwater from a contaminated site in Northern Italy for chlorinated aliphatic hydrocarbons (CAHs) removal. The changes in groundwater ecotoxicity were followed by a complex ecotoxicity test battery including testorganisms from various trophic levels. The datasets (supplementary to Chapter 3.5) for this publication are presented here. Referred publication: Edoardo Dell'Armi, Marco Zeppilli, Maria Letizia Di Franca, Bruna Matturro, Viktória Feigl, Mónika Molnár, Zsófia Berkl, Imre Németh, Hafsa Yaqoubi, Simona Rossetti, Marco Petrangeli Papini, Mauro Majone, Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater, Journal of Water Process Engineering, 49, 2022, 103101, https://doi.org/10.1016/j.jwpe.2022.103101.</p>
Ecotoxicity test results for the paper entitled "Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils"
<p>Within the frame of the ELECTRA No. 826244 H2020 project, a microbial electrochemical snorkel (MES) was applied for the treatment of soil contaminated by hydrocarbons at a laboratory scale. The changes in soil ecotoxicity were followed by plant tests applying <em>Sinapis alba</em> and <em>Triticum aestivum</em>. The datasets (supplementary to Figure 7) for this publication are presented here. Referred publication: Carolina Cruz Viggi, Matteo Tucci, Marco Resitano, Bruna Matturro, Simona Crognale, Viktória Feigl, Mónika Molnár, Simona Rossetti, Federico Aulenta, Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils, Science of The Total Environment, 845, 157325, 2022, https://doi.org/10.1016/j.scitotenv.2022.157325.</p>
Data for: Mercury contamination challenges the behavioral response of a keystone species to Arctic climate change
<p>Combined effects of multiple, climate change-associated stressors are of mounting concern, especially in Artic ecosystems. Elevated mercury (Hg) exposure in Arctic animals could affect behavioural responses to changes in foraging landscapes linked to climate change, generating interactive effects on behaviour and population resilience. We investigated this hypothesis in the little auk (<em>Alle alle</em>), a keystone Artic seabird. We compiled behavioural data using accelerometers, and quantified blood mercury and environmental conditions (sea surface temperature (SST), sea ice coverage (SIC)) across multiple years. These datasets contain the behavioral, blood Hg and environmental data (SST, SIC) used in our analyses. Details about the datasets are found in the accompanying word document.</p>
Spectral Contamination of the 6300Å Emission in Single-Etalon Fabry-Perot Interferometers - Data
<p>Raw ".fit" image data files from Santarem Brazil and from Cachoeira Paulista Brazil are included. These raw data are used to create Figures 8, 9b, 10 and 13 of the titled publication. Filenames with prefix "bb" are CCD image exposures from the Santarem Fabry-Perot interferometer (FPI). Filenames with prefix "br" are CCD image exposures from the Cachoeira Paulista FPI. All raw images including calibration images are included. Filename suffixes carry the temporal sequence number of the exposure and a text identifier of the image type. The types are "bi" (CCD bias images); "dk" (dark images); "ff" (flat field); "la" (laser); "sk" (sky).</p> <p> </p>
D6.1- Fertilizers-PCFs-Contaminants-Regulation (EU) 2019/1009 _some EU Member states regulations
<p>The annex of deliverable D6.1 is a summary of the fertiliser contamination limits in each of the countries participating in the WalNUT project according to the national legislation of each country.</p>
Data from "Examining potential PFAS Contamination of Private Wells from a High School in Rural Maine"
Data from "Schools as Sources of PFAS Contamination of private wells in Rural Maine communities" In a community-engaged research project near Mount Desert Island High School in Bar Harbor, Maine, efforts were made to understand potential well contamination. This involved attending public meetings, distributing PFAS drinking water sample kits to homeowners, and collaborating on sample collection protocols. Surface water samples were collected from wetlands adjacent to the school, while drinking water samples were obtained from eight property owners, with careful adherence to sampling procedures to prevent contamination. Samples were analyzed for PFAS content and data are reported here.
The diversity and function of the peanut pods-associated microbiota and their effects on aflatoxin contamination in China
<p>In essence, these results are instructive for developing novel aflatoxin-control technology, selecting for better peanut species, and predicting aflatoxin contamination, therefore are of great interest for improving peanut quality and safety. </p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - France
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – French Agency for Food, Environmental and Occupational Health & Safety, Joint Service of the Laboratories of the Ministry of Economy, Finance and Industry</p> <p>OCC-CHEMMON2021 – French Agency for Food, Environmental and Occupational Health & Safety, Joint Service of the Laboratories of the Ministry of Economy, Finance and Industry</p> <p>OCC-CHEMMON2022 – French Agency for Food, Environmental and Occupational Health & Safety, Joint Service of the Laboratories of the Ministry of Economy, Finance and Industry</p> <p>OCC-CHEMMON2023 – French Agency for Food, Environmental and Occupational Health & Safety, Joint Service of the Laboratories of the Ministry of Economy, Finance and Industry</p> <p>OCC-CHEMMON2024 – French Agency for Food, Environmental and Occupational Health & Safety, Joint Service of the Laboratories of the Ministry of Economy, Finance and Industry</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Germany
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – Federal Office of Consumer Protection and Food Safety</p> <p>OCC-CHEMMON2021 – Federal Office of Consumer Protection and Food Safety</p> <p>OCC-CHEMMON2022 – Federal Office of Consumer Protection and Food Safety</p> <p>OCC-CHEMMON2023 – Federal Office of Consumer Protection and Food Safety</p> <p>OCC-CHEMMON2024 – Federal Office of Consumer Protection and Food Safety</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Romania
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – National Sanitary Veterinary and Food Safety Authority</p> <p>OCC-CHEMMON2021 – National Sanitary Veterinary and Food Safety Authority</p> <p>OCC-CHEMMON2022 – National Sanitary Veterinary and Food Safety Authority</p> <p>OCC-CHEMMON2023 – National Sanitary Veterinary and Food Safety Authority</p> <p>OCC-CHEMMON2024 – National Sanitary Veterinary and Food Safety Authority</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Hungary
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – National Food Chain Safety Office</p> <p>OCC-CHEMMON2021 – National Food Chain Safety Office</p> <p>OCC-CHEMMON2022 – National Food Chain Safety Office</p> <p>OCC-CHEMMON2023 – National Food Chain Safety Office</p> <p>OCC-CHEMMON2024 – National Food Chain Safety Office</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Poland
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in the ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – National Veterinary Research Institute</p> <p>OCC-CHEMMON2021 – National Veterinary Research Institute</p> <p>OCC-CHEMMON2022 – National Veterinary Research Institute</p> <p>OCC-CHEMMON2023 – National Veterinary Research Institute</p> <p>OCC-CHEMMON2024 – National Veterinary Research Institute</p>
Results from national testing programs on the occurrence of chemical contaminants in food and feed - Portugal
<p>In the framework of Articles 23 and 33 of Regulation (EC) No 178/2002 EFSA has received from the European Commission a mandate (M-2010-0374) to collect all available data on the occurrence of chemical contaminants in food and feed. These data are used in EFSA’s scientific opinions and reports on contaminants in food and feed. </p> <p>The presence of unauthorised substances or chemical contaminants in food may pose a risk factor for public health and can cause a negative impact on the quality of food. </p> <p>Commission Recommendations and Regulations on occurrence monitoring are in place for several contaminants of interest, some of which can be found here below: </p> <ul> <li>Commission Regulation (EU) 625/2017, on the application of food and feed law</li> <li>Commission Delegated Regulation (EU) 2022/931</li> <li>Commission Implementing Regulation (EU) 2022/932</li> <li>Commission Regulation (EU) 2023/915, on maximum levels for certain contaminants in food and repealing Regulation (EC) No 1881/2006</li> </ul> <p>These datasets contain the results of sampling that was designed according to national testing programs for a variety of contaminants in food and feed, as reported under the Chemical Monitoring Data Collection 2024, 2023, 2022, 2021, and 2020, split by sampling year (data element ‘sampY’). </p> <p>More details are available in last year's finalised call for data ‘<span><a href="https://www.efsa.europa.eu/en/call/annual-call-continuous-collection-chemical-contaminants-occurrence-data-food-and-feed">Annual call for continuous collection of chemical contaminants occurrence data in food and feed | EFSA</a></span>’.</p> <p>REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: </p> <p>OCC-CHEMMON2020 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2021 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2022 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2023 – National Institute of Health Doutor Ricardo Jorge</p> <p>OCC-CHEMMON2024 – National Institute of Health Doutor Ricardo Jorge</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.