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1,630 results for “occupations”
Supplementary information for: A continuous-score occupancy modeling framework for incorporating uncertain machine learning output in autonomous biodiversity surveys
<p><span>Ecologists often study biodiversity by evaluating species occupancy and the relationship between occupancy and other covariates. Occupancy models are now widely used to account for false absences in field surveys and to reduce bias in estimates of covariate relationships. Existing occupancy models take as inputs binary detection/non-detection observations of species at each visit to each site. However, autonomous sensing devices and machine learning models are increasingly used to survey biodiversity, generating a new type of observation record (i.e., continuous-score data) that reflects the model's confidence a species is present in each autonomously sensed file, instead of binary detection/non-detection data. These data are not directly compatible with traditional binary occupancy modeling methods.</span></p> <p><span>Here, we develop a new occupancy model that models continuous scores on a visit level as a Gaussian mixture, combining a distribution of scores for files that do contain the species of interest and a distribution of scores for files that do not. The model takes as input continuous scores for each autonomously sensed and classified file, along with an optional small number of binary, manually verified detection and non-detection annotations.</span></p> <p><span>We present a simulation study that shows that over a range of empirically realistic parameters, our model outperforms traditional occupancy models that are based on binary annotation alone. We also apply this new model to an empirical case study using data generated from five machine learning classifiers applied to autonomous acoustic recordings gathered in the eastern United States.</span></p> <p><span>Because our occupancy model generalizes allowable input data beyond binary observations, it is particularly well-suited to the increasing volume of machine learning classified data in ecology and conservation.</span></p>
Development of classifier of engagement in occupation with machine learning (CEOML) for quantifying context
<p>These are the raw data, code, and development model from the development of the classifier of engagement in occupation with machine learning (CEOML).</p>
Indoor Positioning Simulation For Examination And Correction Of Occupancy Limits In Architectural Design
<p>Dataset contains results of the simulation, statistical analysis and images. "Read me" file contains explanations on the content.</p>
Human land-use effects on mammalian mesopredator occupancy of a northeastern Connecticut landscape
<p>Mammalian mesopredators—mid-sized carnivores—are ecologically, economically and socially important. With their adaptability to a variety of habitats and diets, loss of apex predators and forest regrowth, many of these species are increasing in number throughout the northeastern USA. However, currently the region is seeing extensive landscape alterations, with an increase in residential and industrial development especially at the expense of existing forest and small-scale farmland. We sought to understand how important an existing mosaic of working lands (timberland and farmland) in a forested landscape is to mesopredator species. We did this through studying mesopredator occupancy across three land uses (or habitat types): forest reserve (protected), timber harvest (shelterwood cuts) and field (both crop yielding and fallow) in and around a 3200-ha forest in northeastern Connecticut. We examined coyote (Canis latrans), bobcat (Lynx rufus), fisher (Pekania pennanti), and raccoon (Procyon lotor) occupancy using paired camera traps across juxtaposed reserve, shelterwood and field units from April 2018 to March 2019. We created a priori habitat variable models for each species and season, as well as analyzed the impact of habitat types on each species. Throughout the year bobcats positively associated with foliage height diversity, and had the highest use of shelterwoods and lowest of fields. Land use utilization varied seasonally for coyotes and raccoons, with higher use of fields than reserves and shelterwoods for half the year and no difference between land uses the other half. Both species were not strongly associated with any particular habitat variables. Reserve forest was moderately to highly used by all species for at least half the year, and highly use year-round by fisher. Our findings reveal that a mosaic of intact forest and working lands, timber harvest and agriculture can support mesopredator diversity.</p>
Taking up and terminating leisure-time physical activity over the life course: The role of life events in the familial and occupational life domains
<p>Dataset used for the analyses in the following publication:</p> <p>Lenze, L., Klostermann, C., Lamprecht, M. & Nagel, S. (2021). Taking up and terminating leisure-time physical activity over the life course: The role of life events in the familial and occupational life domains. <em>International Journal of Environmental Research and Public Health</em>, <em>18</em>, 9809. https://doi.org/10.3390/ijerph18189809</p>
Brook trout occupancy in the Mixedwood Plains Ecozone, Ontario
<p>The Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry compiled brook trout presence and absence data for rivers and streams within the Mixedwood Plains Ecozone of Ontario. Data from hundreds of electrofished sites were grouped into two time periods, past (1970-1980) and recent (2000-2010), to quantify the change in brook trout occupancy in streams of the Mixedwood Plains Ecozone in Ontario at different spatial scales. The data include information for five spatial scales: 1) tertiary watersheds; 2) quaternary watersheds; 3) the well-sampled Credit River-Sixteen Mile Creek tertiary watershed; and, 4) sites within 50 m of each other were sampled in both the past (1970-1980) and recent (2000-2010) periods, and 5) at each spatial scale brook trout occupancy along the longitudinal axes of the rivers was assessed using Strahler stream order. This data set will be cited in a manuscript that quantifies the declines in brook trout occupancy in rivers and streams of southern Ontario.</p>
Replication data for: Occupations and their impact on the spreading of COVID-19 in urban communities
<p>This dataset contains real-world COVID-19 human-to-human transmission network data. The data mimics how COVID-19 infections may have spread from one individual to another in Bucharest (Romania) during August 1<sup>st</sup> and October 31<sup>st</sup>, 2020. The information refers to COVID-19 patients (referees) and their contacts (referrals), i.e., the people they interacted with before being tested COVID-19 positive. The dataset is structured as an edge-list file (referee - referral ties). For each referee (referral), we provide the following attributes: sex (male/female), age, sector (public/private), a job in the medical sector (yes/no), ISCO-08 one-digit code, ISCO-08 two-digit code, ISCO-08 three-digit code, employability (active/non-active), age class (minor, adult, pensioner), confirmation month (when a patient was tested positive for COVID-19 infection), confirmation day (when a patient was tested positive for COVID-19 infection). The data were analyzed using relational hyperevent modeling (<a href="https://github.com/juergenlerner/eventnet">https://github.com/juergenlerner/eventnet</a>). </p> <p>This dataset allows replication of the analysis reported in the manuscript entitled: Occupations and their impact on the spreading of COVID-19 in urban communities (Hâncean M-G, Lerner J, Perc M, Oană I, Bunaciu D-A, Stoica AA & Ghiță M-C). </p>
MEDDOPROF corpus: complete gold standard annotations for occupation detection in medical documents in Spanish
<p><strong>UPDATE 27/09/2022: </strong>A complete normalization of all mentions in the corpus to SNOMED CT has been added to the 'meddoprof-norm.tsv' file.</p> <p><strong>Description</strong></p> <p>This repository contains the complete MEDDOPROF Gold Standard, a collection of 1,844 clinical cases in Spanish with annotations for occupations, working statuses and activities. MEDDOPROF is a Shared Task celebrated in 2021 that explores the application of natural language processing to occupational health. If you'd like to learn more, please visit: <a href="https://temu.bsc.es/meddoprof">https://temu.bsc.es/meddoprof</a>.</p> <p><strong>Folder and File Structure</strong></p> <p>The corpus' files are presented in the format used by the annotation tool brat. That is, for each clinical case there is a .txt file with the text and a .ann file with its corresponding annotations.</p> <p><em>- meddoprof-ner/</em></p> <p>Clinical cases annotated with these labels: PROFESION (PROFESSION), SITUACION_LABORAL (WORKING_STATUS) or ACTIVIDAD (ACTIVIDAD).</p> <p><em>- meddoprof-class/</em></p> <p>Clinical cases with the same annotations as 'meddoprof-ner' but with these labels instead: PACIENTE (patient), FAMILIAR (family member), SANITARIO (health professional) or OTRO (other).</p> <p><em>- ner_class_joint/</em></p> <p>Clinical cases with both levels of annotation (ner and class) joint (that is, a mention classified as as PROFESOR in meddoprof-ner and as PACIENTE in meddoprof-class would be PROFESION-PACIENTE here).</p> <p><em>- meddoprof-norm.tsv</em></p> <p>Tab-separated file (.tsv) with the mapping of each mention in the corpus to ESCO and SNOMED CT. The file has five columns: filename, mention text, span, ESCO code and SNOMED code.</p> <p>Additionally, two files with the filenames of the train and test partitions are included.</p> <p> </p> <p><strong>Please cite if you use this resource:</strong></p> <p>Salvador Lima-López, Eulàlia Farré-Maduell, Antonio Miranda-Escalada, Vicent Brivá-Iglesias and Martin Krallinger. NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. In Procesamiento del Lenguaje Natural, 67. 2021.</p> <pre><code>@article{meddoprof, title={NLP applied to occupational health: MEDDOPROF shared task at IberLEF 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts}, author={Lima-López, Salvador and Farré-Maduell, Eulàlia and Miranda-Escalada, Antonio and Brivá-Iglesias, Vicent and Krallinger, Martin}, journal = {Procesamiento del Lenguaje Natural}, volume = {67}, year={2021}, issn = {1989-7553}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6393}, pages = {243--256} }</code></pre> <p><strong>Related Resources:</strong></p> <p>- <a href="http://temu.bsc.es/meddoprof">Web</a></p> <p>- <a href="https://doi.org/10.5281/zenodo.4694768">Training Data</a></p> <p>- <a href="https://doi.org/10.5281/zenodo.4889776">Test set</a></p> <p>- <a href="https://zenodo.org/record/4722741">Codes Reference List</a> (for MEDDOPROF-NORM)</p> <p>- <a href="https://zenodo.org/record/4720833">Annotation Guidelines</a></p> <p>- <a href="https://doi.org/10.5281/zenodo.4524658">Occupations Gazetteer</a></p> <p> </p> <blockquote> <p>MEDDOPROF is part of the IberLEF 2021 workshop, which is co-located with the SEPLN 2021 conference. For further information, please visit <a href="https://temu.bsc.es/meddoprof/">https://temu.bsc.es/meddoprof/</a> or email us at encargo-pln-life@bsc.es</p> <p>MEDDOPROF is promoted by the Plan de Impulso de las Tecnologías del Lenguaje de la Agenda Digital (Plan TL) and the Spanish government's 2020 Proyectos de I+D+i RTI Tipo A (AI4PROFHEALTH - DESCIFRANDO EL PAPEL DE LAS PROFESIONES EN LA SALUD DE LOS PACIENTES A TRAVES DE LA MINERIA DE TEXTOS (PID2020-119266RA-I00)).</p> </blockquote>
SolarWalk Dataset: Occupant Identification using Indoor Photovoltaic Harvester Output Voltage
<p>We present the dataset containing time-series open circuit output voltage traces of indoor photovoltaic cell corresponding to occupant door crossing events to perform smart home occupant identification. We collect shadow patterns of five participants from two different doors in two rooms of a building. We collect a total of 900 door entry and exit events during different hours of the day. We sample the voltage at 50 hz and provide the raw timestamped data. We also pre-process the data to filter the event of interest and label the data with occupant id and type of door events. We provide two example scripts to demonstrate how to process raw data and apply machine learning models for occupant identification using solar cell voltage samples. </p>
Occupational and environmental diseases by operating results report of 43 files from Health Data Center (HDC)
<p>Data used in this study were from the Health Data Center (HDC); permission to use these data can be requested from the Health Data Center (HDC), Ministry of Public Health Thailand. <br> This study got approval from the Health Data Center (HDC)(reference no.0212-78) to use the data on pesticide pollutions (insecticide and herbicide) in provinces years 2018-2020 excluding Bangkok because data from Bangkok were not reported on HDC. Included pesticide poisoning from DIAGNOSIS_OPD and DIAGNOSIS_IPD files which used to DIAGCODE were 'T600','T601','T602','T603','T604','T608','T609' without the X68 code. </p> <p><strong>File descriptions</strong>: The pesticide pollutions (pesticide-induced, insecticide, and herbicide) in provinces years 2018-2020:<br> cwt : post code <br> cwt_n : province names<br> 63_pop : population in 2020<br> N63_pesticide : pesticide-induced patients in 2020<br> P63_pesticide : prevalence of pesticide-induced patients in years 2020<br> N63_Insecticide : insecticide patients in 2020<br> P63_Insecticide : prevalence of insecticide patients in years 2020<br> N63_Herbicide : herbicide patients in 2020<br> P63_Herbicide : prevalence of herbicide patients in years 2020<br> N63_Other : other pesticide patients in 2020<br> P63_Other : prevalence of other pesticide patients in years 2020<br> 62_pop : population in 2019<br> N62_pesticide : pesticide-induced patients in 2019<br> P62_pesticide : prevalence of pesticide-induced patients in years 2019<br> N62_Insecticide : insecticide patients in 2019<br> P62_Insecticide : prevalence of insecticide patients in years 2019<br> N62_Herbicide : herbicide patients in 2019<br> P62_Herbicide : prevalence of herbicide patients in years 2019<br> N62_Other : other pesticide patients in 2019<br> P62_Other : prevalence of other pesticide patients in years 2019<br> 61_pop : population in 2018<br> N61_pesticide : pesticide-induced patients in 2018<br> P61_pesticide : prevalence of pesticide-induced patients in years 2018<br> N61_Insecticide : insecticide patients in 2018<br> P61_Insecticide : prevalence of insecticide patients in years 2018<br> N61_Herbicide : herbicide patients in 2018<br> P61_Herbicide : prevalence of herbicide patients in years 2018<br> N61_Other : other pesticide patients in 2018<br> P61_Other : prevalence of other pesticide patients in years 2018</p> <p>P3y_pesticide : average prevalence of pesticide-induced patients from 2018 to 2020<br> P3y_Insecticide : average prevalence of insecticide patients from 2018 to 2020<br> P3y_Herbicide : average prevalence of herbicide patients from 2018 to 2020<br> P3y_Other : average prevalence of other pesticide patients from 2018 to 2020</p>
COD: A Dataset of Commercial Building Occupancy Traces
<p>The Commercial Occupancy Dataset (COD) is a high-resolution long-term dataset of occupancy traces in a commercial office building spanning 9 months and covering room-level occupancy for three different spaces (two conference rooms and one open-plan space) containing more than 90,000 enter/exit events over this time period. Occupancy data in a building contains rich spatial-temporal information about the users and their usage of the space and facilities. However, obtaining accurate occupancy data is a very challenging task due to the limitation of existing sensing technologies. A novel depth-imaging based solution to estimate occupancy counts was deployed in four doorways of an office building to generate the dataset. We envision the dataset being used for diverse applications such as building energy simulation, occupancy modeling and human-in-the-loop HVAC control which enhance energy efficiency and human comfort.</p> <p>Each folder in the dataset represents data from a single building. Inside the folder there will be separate comma-separated value (CSV) files, one for each monitored room within the building. Each CSV file contains an entry for every entrance and exit events that was estimated by the sensor(s) corresponding to the room in question. In turn, each one of these entries in the dataset (i.e., each line in the file) contains three fields in this order: date (m/dd/yy), time (HH:MM:SS) and occupancy count. </p>
Data from: Influences of ski-runs, meadow management and climate on the occupancy of reptiles and amphibians in a high-altitude environment of Italy
<p>Alpine ecosystems harbour a rich and highly-specialized biodiversity which is particularly susceptible to anthropogenic disturbances such as habitat loss and fragmentation as well as to climate change. Combined with other forms of land-use conversion, construction and maintenance of ski resorts can have severe consequences on alpine biodiversity. In this study, we show how one amphibian and two reptile species, namely <em>Rana </em><em>temporaria</em>, <em>Zootoca</em><em> vivipara</em> and <em>Vipera</em><em> </em><em>berus</em>, respond to such impacts by means of a multi-season occupancy analysis. We found all three species both in and outside ski-runs, showing that these habitats do not necessarily preclude their occurrence. Contrarily, this is influenced more by microhabitat availability, such as ground vegetation, humid areas, and rock cover, rather than by macro-characteristics like elevation or habitat type. Moreover, we found a climatic influence on the year-to-year occupancy change of the species, with activity-months conditions being more relevant than overwintering ones. Our results demonstrate how, in the specific case of reptiles and amphibians, ski resorts do not necessarily limit species' occurrence and that a mild series of management actions might secure the species' persistence in the area.</p>
Data from: Coupled vertical double quantum dots at single-hole occupancy
<p>Figures and Data for the paper "<span>Coupled vertical double quantum dots at single-hole</span><br><span>occupancy</span>" by A. Ivlev and H. Tidjani et al.</p> <p>See Readme file for details on replotting the figures.</p>
The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages
<p>This is the datasets and R script for our manuscript titled "The spatial extent and the dispersal strategy of species shape the occupancy frequency distribution of stream insect assemblages."</p> <p><strong><em>Study area and sampling of Mecsek_species_Szivaketal.xlsx data</em></strong></p> <p>The study area is situated in the Mecsek Mountains in Hungary. Stream insects were collected using the kick and sweep sampling technique. A hand net with a frame width of 25 cm and a mesh size of 1000 µm was employed. The collection involved disturbing an area of 0.25 × 0.25 m. We employed a stratified random multihabitat sampling procedure. We collected 20 sample units from the major microhabitats in proportion to their occurrence within the reaches. Each sample unit was individually processed and sorted in the laboratory to ensure thorough and accurate analysis.</p> <p><strong>Disperse_trait_Szivaketal.xlsx </strong>data is based on DISPERSE database (Sarremejane et al., 2020)</p> <p>Methods for <strong>microhabitat_coverage_reach_transect.xlsx:</strong> Prior to sampling, we divided each 100 m long reach into 20 transects of comparable length and created microhabitat coverage maps. Using these maps, we assessed the proportionate coverage of different microhabitat types within each reach</p> <p>References:</p> <p>Sarremejane, R., Cid, N., Stubbington, R., Datry, T., Alp, M., Cañedo-Argüelles, M., Cordero-Rivera, A., Csabai, Z., Gutiérrez-Cánovas, C., Heino, J., Forcellini, M., Millán, A., Paillex, A., Pařil, P., Polášek, M., Tierno de Figueroa, J. M., Usseglio-Polatera, P., Zamora-Muñoz, C., & Bonada, N. (2020). DISPERSE, a trait database to assess the dispersal potential of European aquatic macroinvertebrates. <em>Scientific Data</em>,<em> 7(1), </em>386. https://doi.org/10.1038/s41597-020-00732-7</p>
KWS_400_Occupational_titles_Manisa_dataset
<p>The KWS_400_Occupational_titles_Manisa_dataset contains sample material extracted from the Ottoman population registers, NFS.d. 2865, 2866, 2867, from the Turkish Presidency State Archives of the Republic of Turkey, the Department of Ottoman Archives, belonging to the city of Manisa dated to Hijri Calendar, 29-12-1258 / the Gregorian Calendar, 31.01.1843.</p> <p>We provide 400 occupational title images in two formats. The folder ‘occupational titles’ contains jpeg cuts for the entire individual information for the chosen individuals and labels for the 40 most observed occupations with 10 examples each. The folder ‘croppped_occupational_titles’ contain cropped images of just the occupational titles for the same 40 most observed with the same 10 examples each.</p>
Data from: Integrating niche and occupancy models to infer the distribution of an endemic fossorial snake (Atractus lasallei)
<p>Understanding species distribution and habitat preferences is crucial for effective conservation strategies. However, the lack of information about population responses to environmental change at different scales hinders effective conservation measures. In this study, we estimate the potential and realized distribution of <em>Atractus lasallei</em>, a semi-fossorial snake endemic to the northwestern region of Colombia. We modelled the potential distribution of <em>A. lasallei</em> based on ecological niche theory (using maxent), and habitat use was characterized while accounting for imperfect detection using a single-season occupancy model. Our results suggest that <em>A. lasallei</em> selects areas characterized by slopes below 10°, with high average annual precipitation (>2500mm/year) and herbaceous and shrubby vegetation. Its potential distribution encompasses the northern Central Cordillera and two smaller centers along the Western Cordillera, but its habitat is heavily fragmented within this potential distribution. When the two models are combined, the species' realized distribution sums up to 935 km<sup>2</sup>, highlighting its vulnerability. We recommend approaches that focus on variability at different spatio-temporal scales to better comprehend the variables that affect species' ranges and identify threats to vulnerable species. Prompt actions are needed to protect herbaceous and shrub vegetation in this region, highly demanded for agriculture and cattle grazing.</p>
Occupancy of two Colombian endemic birds (Habia gutturalis) and White-Mantled Barbet (Capito hypoleucus) in fragmented forests of the Central Andes in Colombia
<p>The Sooty Ant-Tanager (<em>Habia gutturalis</em>) and White-mantled Barbet (<em>Capito hypoleucus</em>) are endangered and endemic birds of Colombia. Both species have small geographic ranges and presumably low population sizes possibly due to habitat destruction and fragmentation. In order to estimate the effects of landscape features on the occupancy of both species, we sampled a variety of landscape configurations within the buffer zones of two hydroelectric impoundments in the Central Andes of Colombia and applied occupancy models to estimate the proportion of area occupied as a function of these covariates. We surveyed 35 point-counts in each hydroelectric impoundment, between June and July of 2014 and 2015. We used single-season models to estimate occupancy while recognizing imperfect detection. Mean occupancy estimates in the study area were similar for both species (0.61 SD=0.33 for the Sooty Ant-Tanager and 0.63 SD=0.25 for the White-mantled). Nonetheless, occupancy probability within the study area was very different between them. The best model for the Sooty Ant-Tanager indicated a decrease in occupancy with elevation, whereas the top model for the White-mantled Barbet indicated an increase in occupancy with distance from streams. Detection probabilities were similar for both species (>0.4) and declined significantly during the second year. Our results provide quantitative guidelines that can be used to evaluate and monitor the state of these populations on the short and long term.</p>
Accompanying data for the paper "Making Sense of Wildlife Habitat Use on Active Oil Sands Mines: Quasi-experiments, Occupancy Models, Trends Assessments, and Upland Habitat Reclamation"
<p>This data set contains both the raw species detection records and the derived occupancy model data used to assess usage patterns for the nine species of wildlife. Data have been anonymized by using non-identifying company and lease names. These attributes are not required to reproduce the results in this paper and was done per contractual requirements between LGL Limited and its clients.</p> <p>Data is currently being reviewed by the client and will be shared publicly once final approval has been received.</p>
Data from: Community ecology in a bottle: Leveraging eDNA metabarcoding data to predict occupancy of co-occurring species
<p>Detecting environmental DNA (eDNA) of numerous organisms from the same samples has been revolutionized by metabarcoding. However, utilizing the vast amounts of data generated from metabarcoding to predict occupancy probabilities for co-occurring species is currently rare. Here, we demonstrate how metabarcoding data can be used to advance community ecology research through a case study using replicate stream water samples and Bayesian occupancy models to test hypotheses of eDNA occurrence for a native fish (brook trout, Salvelinus fontinalis), its major ectoparasite (gill lice, Salmincola edwardsii), and an introduced potential competitor (brown trout, Salmo trutta). Gill lice DNA occupancy was positively associated with brook trout biomass determined via electrofishing conducted near eDNA sampling sites, suggesting gill lice occupancy is dependent on host density. Leveraging site-specific molecular operational taxonomic units identified from metabarcoding, DNA occupancy of trout and gill lice was often positively predicted by species richness of aquatic insect orders trout commonly feed on, which are also environmental quality indicators. Thus, high-quality habitat that environmentally sensitive salmonids and their primary prey rely on may promote higher fish occupancy rates, further facilitating the spread of fish parasites. An increasing amount of community-level data is being generated from global metabarcoding efforts, and we suggest our framework could be broadly implemented to enhance understanding of factors impacting distributions of co-occurring species, reveal new ecological phenomena, and support management and conservation efforts.</p>
Stroke Ward Simulated Occupancy
<p><strong><em>This image is supplementary material for:</em></strong></p> <p>Currie, C. S.M. Monks, T. (2018) <em>Modelling Diseases: Prevention, Cure, and Management.</em> In M. Rabe, A. Juan, N. Mustafee, A. Skoogh, & B. Johansson (Eds.). Proceedings of the Winter Simulation Conference 2018. Gothenburg, Sweden.</p> <p><em>Relevant to:</em></p> <p>Section 5.5</p>
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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.
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.