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8,460 results for “MONITORING”
Monitoring the opioid epidemic via social media discussions
<p><strong>The opioid epidemic persists in the United States; in 2020, annual drug overdose deaths increased by 29% to 91,799, including 68,630 opioid-related deaths. The widespread abuse of opioids across geographies and demographics and the rapidly changing dynamics of abuse require reliable and timely information to monitor and address the crisis. Social media platforms include petabytes of participant-generated data that offers a window into the relationship between individuals and their use of drugs. We assessed the utility of Reddit data for public health surveillance, with a focus on the opioid epidemic. We built a natural language processing pipeline to identify opioid-related comments and created a cohort of 1,689,039 geo-located Reddit users, each assigned to a city and state. We followed these users over a period of 10+ years and measured their opioid-related activity over time. We benchmarked the activity of this cohort against CDC overdose death rates for different drug classes and NFLIS drug report rates. Our Reddit-derived rates of opioid discussion strongly correlated with external benchmarks on the national, regional, and city level. During the period of our study, kratom emerged as an active discussion topic; we analyzed mentions of kratom to understand the dynamics of its use. We also examined changes in opioid discussions during the COVID-19 pandemic; in 2020, many opioid classes showed marked increases in discussion patterns. Our work suggests the complementary utility of social media as a part of public health surveillance activities.</strong></p> <p> </p>
Large scale eDNA monitoring of multiple aquatic pathogens as a tool to provide risk maps for wildlife diseases
<p>Multiple parasites and pathogens cause disease in aquatic wildlife and in aquaculture species, generating a need for monitoring and management. Conventional disease monitoring methods involve laborious, costly and invasive capture and examination of host species, and require specialised expertise for every host and pathogen of interest. These restrictions could be alleviated by using pathogen detection techniques based on environmental DNA that provide simultaneous surveys of multiple aquatic pathogens across different host taxa. This would also be valuable for approaches employing parasite diversity as bioindicators of ecosystem disturbance, which suffer from similar restrictions. Here, we tested the potential for simultaneous detection of four wildlife pathogens in water samples from 280, mainly riverine, sites across Switzerland. We targeted the crayfish pathogen <em>Aphanomyces astaci, </em>the amphibian pathogen <em>Batrachochytrium dendrobatidis, </em>and the fish pathogens <em>Saprolegnia parasitica</em> and <em>Tetracapsuloides bryosalmonae</em>. The eDNA detection showed a widespread distribution of <em>A. astaci</em>, <em>S. parasitica</em> and <em>T. bryosalmonae</em>, although <em>A. astaci </em>and <em>T. bryosalmonae</em> were not detected in some alpine river catchments. <em>B. dendrobatidis</em> was detected only rarely, which was expected since the sampling did not target amphibian breeding sites. Co-detection rates were higher in rivers than in lakes, likely reflecting the habitat preferences and distributions of the host species. We discuss the advantages and limitations of eDNA-based pathogen monitoring and list a set of recommendations for managers. Our study illustrates how eDNA-based techniques can monitor several pathogen species concurrently, thus facilitating more comprehensive disease monitoring schemes. Combined with metabarcoding approaches in the future, eDNA based sampling and detection can facilitate the incorporation of parasite and pathogen occurrence and diversity as an indicator for aquatic ecosystem health, and for revealing the hidden biodiversity and structure of parasite communities.</p>
Data from high throughput SNP-chip as cost effective new monitoring tool for assessing invasion dynamics in the comb jelly Mnemiopsis leidyi
<p class="MsoNormal"><span>High throughput low-density SNP arrays provide a cost-effective solution for population genetic studies and monitoring of genetic diversity as well as population structure commonly implemented in real time stock assessment of fish species. However, the application of high throughput SNP arrays for monitoring of invasive species has so far not been implemented. We developed a species-specific SNP array for the invasive comb jelly <em>Mnemiopsis leidyi</em> based on whole genome resequencing data. Initially, </span><span>a total of</span><span> </span><span>1,</span><span>395</span><span> </span><span>high quality </span><span>SNPs</span><span> were identified</span><span> </span><span>u</span><span>sing stri</span><span>ngent</span><span> filtering criteria</span><span>. From those, 192 assays were designed and validated, resulting in the final panel of 116 SNPs. Markers were diagnostic between the northern and southern <em>M. leidyi</em> lineages and highly polymorphic to distinguish populations. Despite using a reduced representation of the genome, our SNP panel yielded comparable results to using a whole genome resequencing approach (832,323 SNPs), recovering similar values of genetic differentiation between samples and detecting the same clustering groups when performing Structure analyses. The resource presented here provides a cost-effective, high throughput solution for population genetic studies, allowing to routinely genotype large number of individuals. Monitoring of genetic diversity and effective population size estimations in this highly invasive species will allow for the early detection of new introductions from distant source regions or hybridization events. Thereby, this SNP chip represents an important management tool in order to understand invasion dynamics and </span><span>opens the door for implementing such methods for a wider range of alien invasive species.</span></p> <div></div>
Fig. 1 in Monitoring Of Animal Dirofilariosis Incidence In Kharkiv Region Of Ukraine
Fig. 1. Infection of dogs with dirofilariae depending on age.
Bird predation on Roseau cane scale as revealed by a web image search and querying a citizen monitoring database
<p>NA</p>
Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective
<p>This is the dataset for the paper "Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective". The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below.</p> <p>(1) <strong>Selected Projects (GitHub)</strong> contain the 15 selected ML projects with the URL of each project.</p> <p>(2) <strong>Raw Data (GitHub)</strong> contains the information about the randomly selected 600 issues, such as issue titles, issue links, issue id.</p> <p>(3) <strong>Raw Data (SO) </strong>contains the information about the randomly selected 2088 SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date.</p> <p>(4) <strong>MLOps (SO) </strong>contains the information about the 86 MLOps SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date.</p> <p>(5) <strong>Identified Challenges (GitHub) </strong>contain the list of categories, subcategories, and codes of identified challenges from GitHub issues.</p> <p>(6) <strong>Identified Solutions (GitHub) </strong>contain the list of categories, subcategories, and codes of identified solutions from GitHub issues.</p> <p>(7) <strong>Identified Metrics (GitHub) </strong>contain the list of identified metrics from GitHub issues.</p> <p>(8) <strong>Identified Challenges (SO) </strong>contain the list of categories, subcategories, and codes of identified challenges from SO posts.</p> <p>(9) <strong>Identified Solutions (SO) </strong>contain the list of categories, subcategories, and codes of identified solutions from SO posts.</p> <p>(10) <strong>Identified Metrics (SO) </strong>contain the lists of identified metrics from SO posts.</p> <p>(11) <strong>Identified Challenges (Interview)</strong> contain the list of categories, subcategories, and codes of identified challenges from interviews.</p> <p>(12) <strong>Identified Solutions (Interview) </strong>contain the list of categories, subcategories, and codes of identified solutions from interviews.</p> <p>(13) <strong>Identified Metrics (Interview) </strong>contain the list of identified metrics from interviews.</p> <p>(14) <strong>Identified Challenges (Final) </strong>contain the taxonomy of the final challenges identified from GitHub issues, SO posts, and interviews.</p> <p>(15) <strong>Identified Solutions (Final) </strong>contain the<strong> </strong>taxonomy of the final solutions identified from GitHub issues, SO posts, and interviews.</p> <p>(16) <strong>Identified Metrics (Final) </strong>contain the<strong> </strong>final list of metrics identified from GitHub issues, SO posts, and interviews.</p>
Supplementary information for: Monitoring cheese ripening by single-sided NMR
<p>Supplementary information for: Monitoring cheese ripening by single-sided NMR</p> <p>Raw experimental data used to create the manuscript.</p> <p>Data structure:</p> <p>Each folder contains the date of acquisition. Inside folders are CPMG, DT2, and T1T2 experiments with suffix showing the position of the acquired region in micrometers.</p> <p> </p>
Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy
<p>The files contain all the data that are shown in the figures of the main text and of the supporting information of the article:</p> <p>Beckwith, J.; Lang, B.; Grilj, J.; Vauthey, E. Ion-Pair Dynamics upon Photoinduced Electron Transfer Monitored by Pump-Pump-Probe Spectroscopy. J. Phys. Chem. Lett. 10 (2019), 10.1021/acs.jpclett.9b01431</p>
Silent Monitor
This small four-sided wooden block was known as a 'silent monitor' and was used by Robert Owen as a means of imposing discipline at his [New Lanark Mills](https://www.goindustrial.co.uk/museum/new-lanark). The silent monitor was introduced by Owen after he and his partners took over the mills in 1800. Robert Owen was strongly opposed to the use of corporal punishment, so in order to keep discipline at the mills, he devised a 'silent monitor'. It was hung next to each worker, with each side displaying a different colour. 'Bad' behaviour was represented by the colour black; 'indifferent' by blue; 'good' by yellow; and 'excellent' by white. The superintendent was responsible for turning the monitors every day, according to how the worker had behaved. A daily note was then made of the conduct of the workers in the 'books of character' which were provided for each department in the mills. The 3D model was created by the Scottish Maritime Museum as a part of the Scanning The Horizon project. Source: Objaverse 1.0 / Sketchfab
Monitoring GPS-collared moose by ground versus drone approaches: efficiency and disturbance effects
<p>Efficient wildlife management requires precise monitoring methods, e.g., to estimate population density, reproductive success, and survival. Here, we compared the efficiency of the drone (equipped with an RGB camera) and ground approaches to detect and observe GPS-collared female moose (<em>Alces alces</em>) and their calves. Moreover, we quantified how drone (n = 42) and ground (n = 41) approaches affected moose behavior and space use (n = 24 individuals). The average time used for drone approaches was 17 minutes compared to 97 minutes for ground approaches, with drone detection probability being higher (95% of adult female moose and 88% of moose calves) compared to ground approaches (78% of adult females and 82% of calves). Drone detection success increased at lower drone altitudes (50-70 m). Adult female moose left the site in 35% of drone approaches (with > 40% of those moose becoming disturbed once the drone hovered < 50 m above ground) compared to 56% of ground approaches. We failed to find short-term effects (3-h after approaches) of drone approaches on moose space use, but moose moved > 4-fold greater distances and used larger areas after ground approaches (compared to before the approaches had started). Similarly, longer-term (24-h before and after approaches) space use did not differ between drone approaches compared to days without known disturbance, but moose moved comparatively greater distances during days of ground approaches. In conclusion, we could show that drone approaches were highly efficient in detecting adult moose and their calves in the boreal forest, being faster and less disturbing than ground approaches, making them a useful tool to monitor and study wildlife.</p>
Mosquito Lagoon Watershed Livingshoreline monitoring data
<p><strong>PROJECT NAME: </strong>Implementing and evaluating the effectiveness of native vegetative buffers at controlling nonpoint source pollution and as a tool for public education along the Indian River Lagoon</p> <p> </p> <p><strong>PROJECT LOCATION AND WATERSHED CHARACTERISTICS:</strong> </p> <p>Geographic Location (city and county): New Smyrna Beach, FL and nearby cities</p> <p>Size of Project Impact: North Indian River Lagoon Stakeholder zone (A Project Zone)</p> <p>Size of Area Being Treated: approx. 100,000 sq ft (9300 sq. m)</p> <p>Latitude (decimal degrees): approx. 29 N</p> <p>Longitude (decimal degrees): 80.9 W</p> <p>12 Digit Hydrologic Unit Code: 030802020400</p> <p>WBID<strong>:</strong> 2924B2, 2924B1</p> <p>Impaired Water Body Affected: Indian River Lagoon Basin Northern Indian River Lagoon (North A)</p> <p>TMDL Status and Name: Nutrient TMDLs (TN: 177,220 lbs/yr; TP: 9320 lbs/yr)</p> <p>TMDL Impairment; indicate the parameters in the TMDL: Water quality conditions necessary for seagrass regrowth at water depth limits where seagrass historically grew in the basin (a 10% reduction in the target seagrass depth)</p> <p>Impairments to be Addressed by Project: Dissolved oxygen, Nutrients (TN, TP), Un-Ionized Ammonia, turbidity, seagrass depth limits</p> <p><strong> </strong></p> <p><strong>PROJECT OVERVIEW:</strong> The primary objective of this project is to reduce nonpoint source pollution along the Mosquito Lagoon (ML), a northern sub-lagoon of the Indian River Lagoon (IRL) system, by (1) transforming artificially landscaped turfgrass dominated shorelines and retention ponds into living shorelines of native Florida plants that are known to be better filters of nonpoint source nutrients and (2) engaging the public and enhancing awareness of their role in contribution to BMPs for nonpoint source pollution impacting the system.</p>
Changes Monitoring in Hongjiannao Lake from 1987-2023 using Google Earth Engine and Analysis of Climatic and Anthropogenic Forces (Climatic Data)
<p>This dataset presents temporal (1987 to 2023) climatic data for the weather station near Hongjiannao Lake.</p>
Fig. 3 in SHORT COMMUNICATION Monitoring a population of Cruziohyla craspedopus (Funkhouser, 1957) using an artificial breeding habitat
Fig. 3. Newly metamorphosed juvenile Cruziohyla craspedopus.
Dataset: Phytoplankton Cell-States: multiparameter lifetime flow monitoring reveals cellular heterogeneity
<h1>Dataset for Multiparameter-based photosynthetic state transitions of single phytoplankton cells data.</h1> <h2>Creating environment</h2> <p>yaml and spec file are provided of the conda environment used. Most packages are typical, with the key exception of fretbursts</p> <p>A custom/development version of fretbursts was used, which contains support for more flexible photon selection (Ph_sel) objects, necessary for the larger parameter space. This version is in the polarization branch of harripd fork of fretbursts. The simple route to install is </p> <p><code>pip install git+https://https://github.com/harripd/FRETBursts@polarization</code></p> <p>however, if you want to ensure the exact same version is installed use:</p> <p><code>pip install git+https://github.com/harripd/FRETBursts@12a5168</code></p> <h2>Data organization</h2> <p>All zip files are meant to be unziped into the same destination folder (ie if a file is in a folder in the zip file, it should be in a subfolder inside the shared highest level folder, but if two files inside different zip folders are in the root of their respective zip files, they should be places in the same folder when all files are unzipped.</p> <p>After unzipping everything your folder for this article should contain the following items (normal text indicates file, <strong>bold text indicates folder</strong>).</p> <ol> <li>Flow_PhytoCellStates_figures.ipynb</li> <li><strong>mpAlgae</strong></li> <li><strong>figures</strong></li> <li>20230905_cyanoWH8102_diurnal</li> <li>20230707_cyanolightjump</li> <li>20230609_ppurp</li> <li>20230724_redalgaelightjump</li> <li>20231211_pmicans_6umol_diurnal</li> <li><strong>20231217_pmicans_6umol_lightjump</strong></li> <li><strong>20231019_WH8102_imaging</strong></li> <li><strong>bulk_cyano_lightjump</strong></li> <li>synWH8102_di_REPO_20230905.hdf5</li> <li>synWH8102_di_REPO_20230905.csv</li> <li>synWH8102_lj_REPO_20230707.hdf5</li> <li>synWH8102_lj_REPO_20230707.csv</li> <li>ppurp_di_REPO_20230609.hdf5</li> <li>ppurp_di_REPO_20230609.csv</li> <li>ppurp_lj_REPO_20230724.hdf5</li> <li>ppurp_lj_REPO_20230724.csv</li> <li>pmicans_di_REPO_20231211.hdf5</li> <li>pmicans_di_REPO_20231211.csv</li> <li>ppurp_lj_REPO_20230724.hdf5</li> <li>ppurp_lj_REPO_20230724.csv</li> </ol> <p>Flow_API_all.ipynb (item 1) is the jupyter notebook that analyses the data and produces the figures. It relies on having mpAlgae (item 2) in the same folder, as it contains the underlying code that adapts FRETBurts to work with the cell based data, adding functionality to combine multiple data files into one experiment, dynamic gating of data, storing calculated values to disk, which also reduces the memory requirements of the system, as well as a number of advanced plotting functions. Flow_API_all.ipynb also expects a figures folder (item 3) to exist so that it can save the produced figures. It also expects items 4-9 to exist, as those folder names are recorded as where the different raw data sets are stored. Even numbered items 12-22 (all items 12-23 that are hdf5 files) are produced by Flow_API_all.ipynb, and are where processed values of burst search are stored. the mpAlgae api makes it so that if these files are present, burst search is skipped, and instead loaded from these result files. Thus if you desire to examine the data, you only need the top level hdf5 files. These files also save results of histogram fittings, so that results can be loaded instead of recalculatd. </p> <p>The csv files are export of calculated parameters to csv format. Note that these are ungated, and thus proper gating must be implemented if plots are to be recapitulated from these files, this is done so that alternative gating strategies can also be explored.</p> <p> </p>
Data coverage, biases, and trends in a global citizen-science resource for monitoring avian diversity
<p><strong>Aim:</strong> Understanding and addressing the global biodiversity crisis requires ecological information compiled continuously from across the globe. Data from citizen science initiatives are useful for quantifying species' ecological niches and geographical distributions but can be difficult to apply towards biodiversity monitoring. The presence of fixed geographical locations reduces the opportunistic nature of citizen science data, allowing for more reliable and nuanced trend estimation. The eBird citizen-science programs contains predefined locations whose bird assemblages are sampled across years ('hotspots'). For hotspots to function as a biodiversity monitoring resource, issues related to data coverage, biases, and trends need to be addressed.</p> <p><strong>Location:</strong> Global.</p> <p><strong>Methods:</strong> We estimated the survey completeness of species richness at 300,500 eBird hotspots during the years 2002 to 2022. We documented sampling biases at eBird hotspot and non-hotspot locations during 2022 based on protection status, temperature, precipitation, and landcover.</p> <p><strong>Results:</strong> A total of 10,410 bird species (<em>ca</em>. 96.9% of total) were recorded at hotspots. The number hotspots and the quantity of data and unique participants and quality of species richness estimates has increased worldwide with the Nearctic containing the strongest and most consistent trends. Compared to non-hotspots, hotspots over sampled areas with higher protection status. Hotspots and non-hotspots over sampled warmer and wetter locations in the Antarctic, Nearctic, and Palearctic, and cooler locations in the Afrotropics, Australasia, and the Neotropics. Hotspots and especially non-hotspots over sampled urban areas. Hotspots and non-hotspots under sampled shrublands in Australasia. Hotspots and especially non-hotspots under sampled forests in the Afrotropics, Indomalaya, Neotropics, and Oceania.</p> <p><strong>Main conclusions:</strong> Hotspots have captured a large component of the world's avian diversity but have done so inconsistently across space and time. Data quantity and quality are increasing in many regions, but the presence of sampling biases and spatial uncertainty needs to be addressed when applying the data.</p>
Monitoring melanoma patients on treatment reveals a distinct macrophage population driving targeted therapy resistance
<p><span>Resistance to targeted therapy remains a major clinical challenge in melanoma patients. To uncover resistance mechanisms, we performed single cell RNA sequencing of fine needle aspirates from resistant and responding tumors from melanoma patients before and during BRAFi/MEKi treatment. Among the genes most differentially expressed between malignant cells from resistant vs. responding tumors was POSTN encoding the secreted factor periostin. POSTN was predicted to predominantly signal to a macrophage population associated with targeted therapy resistance (TTR). Accordingly, tumors from patients with fast disease progression after targeted therapy exhibited high POSTN expression levels as well as high numbers of TTR macrophages, and POSTN was able to polarize macrophages towards a TTR phenotype. In a mouse model in vivo, POSTN expression protected melanoma from targeted therapy, which was associated with a phenotype change of intratumroal macrophages. Finally, polarized TTR macrophages protected melanoma cells from MEKi-induced killing through CD44 receptor expression on melanoma cells. Thus, interfering with the protective activity of TTR macrophages might represent a strategy to overcome resistance to targeted therapy in melanoma.</span></p>
Long-term wastewater monitoring of SARS-CoV-2 viral loads and variants at the major international passenger hub Amsterdam Schiphol Airport: a valuable addition to COVID-19 surveillance
<p>Datasets used for the manuscript: <em>Long-term wastewater monitoring of SARS-CoV-2 viral loads and variants at the major international passenger hub Amsterdam Schiphol Airport: a valuable addition to COVID-19 surveillance</em></p> <p><em>pandemic_daily_passenger_counts.tsv</em>: An overview of daily passenger arrival counts at Amsterdam Schiphol Airport per continent of origin during the study period 16-02-2020 - 04-09-2022</p> <p><em>pre-pandemic_daily_passenger_averages.tsv: </em>An overview of mean daily passenger arrival counts at Amsterdam Schiphol Airport in the pre-pandemic period 2017-2019.</p> <p><em>viral_load_data.tsv: </em>Sample metadata (sample identifier, sampling date, flow, average # particles per ml, and flow-corrected viral-load) for samples taken at the wastewater treatment plant of Amsterdam Schiphol Airport.</p> <p><em>wastewater_variant_frequencies.tsv: </em>SARS-CoV-2 lineage estimates in samples taken at the wastewater treatment plant of Amsterdam Schiphol Airport, analyzed using whole-genome tiled amplicon sequencing.</p> <p> </p> <p> </p> <p> </p>
Monitoring the effect of water erosion on soil surface microtopography using Lidar
<p>This dataset contains three dimensional (3D) reconstructions of laboratory soil surfaces eroding under rainfall simulation experiments. Experiments were conducted using the Walnut Gulch Rainfall Simulator at the USDA-ARS Southwest Watershed Research Center in Tucson, Arizona. A terrestrial laser scanner was used to collect soil surface 3D data.</p>
Figure 2 in Monitoring the feeding and parental care behavior of a pair of free-living owls (Tyto furcata) in the nest during the reproductive period in Rio de Janeiro, Brazil
Figure 2. The first egg of the couple of Tyto furcata. Campos dos Goytacazes, RJ.
Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Collection of Forest Resilience Indicators)
<p>This dataset represents the collection of forest indicators for my Master's Thesis in the pioneer master programme at the Universities of Münster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor". </p> <p>It contains a classification of inicators sourced from:</p> <ul> <li> <p><span>Nikinmaa, L., Lindner, M., Cantarello, E., Jump, A. S., Seidl, R., Winkel, G., & Muys, B. (2020). Reviewing the use of resilience concepts in forest sciences. <em>Current Forestry Reports, 6</em>, 61-80.</span></p> </li> <li> <p><span>European Commission. (2023a). Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on a monitoring framework for resilient European forests. <em>Directorate-General for Environment</em>. Lastly retrieved on December 17, 2023 from </span><span><a href="https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en"><span>https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en</span></a></span><span>. </span></p> </li> <li> <p><span>European Parliament. (2024, February 27). European Parliament legislative resolution of 27 February 2024 on the proposal for a regulation of the European Parliament and of the Council on nature restoration (COM(2022)0304 – C9-0208/2022 – 2022/0195(COD)). Lastly retrieved on April 26, 2024 from </span><span><a href="https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html"><span>https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html</span></a></span><span>. </span></p> </li> </ul>
ScienceDex guides
Understand access before you commit
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.