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709 results for “Coverage”
Genomic profiling of NSCLC tumors with the TruSight Oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel associations between genomic alterations, TMB, and PD-L1
<p>Wallen ZD, Ko H, Nesline MK, Tierno M, Roos A, Schnettler E, Husain H, Sathyan P, Caveney B, Eisenberg M, Severson EA, Ramkissoon SH. <strong>Genomic profiling of NSCLC tumors with the TruSight Oncology 500 assay provides broad coverage of clinically actionable genomic alterations and detection of known and novel associations between genomic.</strong> <em>Front Oncol.</em> 2024 Nov 5;14:1473327. doi: <a href="https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2024.1473327">10.3389/fonc.2024.1473327</a>.</p> <p><strong>ABSTRACT</strong></p> <p><strong>Introduction: </strong>Matching patients to an effective targeted therapy or immunotherapy is a challenge for <br>advanced and metastatic non-small cell lung cancer (NSCLC), especially when relying on assays that test one <br>marker at a time. Unlike traditional single marker tests, comprehensive genomic profiling (CGP) can <br>simultaneously assess NSCLC tumors for hundreds of genomic biomarkers and markers for immunotherapy <br>response, leading to quicker and more precise matches to therapeutics. <strong>Methods: </strong>In this study, we performed <br>CGP on 7,606 patients with advanced or metastatic NSCLC using the Illumina TruSight Oncology 500 (TSO <br>500) CGP assay to show its coverage and utility in detecting known and novel features of NSCLC. <strong>Results: </strong><br>Testing revealed distinct genomic profiles of lung adenocarcinoma and squamous cell carcinomas and <br>detected variants with a current targeted therapy or clinical trial in >72% of patient tumors. Known associations <br>between genomic alterations and immunotherapy markers were observed including significantly lower TMB <br>levels in tumors with therapy-associated alterations and significantly higher PD-L1 levels in tumors with ALK, <br>MET, BRAF, or ROS1 driver mutations. Co-occurrence analysis followed by network analysis with gene <br>module detection revealed known and novel co-occurrences between genomic alterations. Further, certain <br>modules of genes with co-occurring genomic alterations had dose-dependent relationships with histology and <br>increasing or decreasing levels of PD-L1 and TMB, suggesting a complex relationship between PD-L1, TMB, <br>and genomic alterations in these gene modules. <strong>Discussion:</strong> This study is the largest clinical study to date <br>utilizing the TSO 500. It provides an opportunity to further characterize the landscape of NSCLC using this <br>newer technology and show its clinical utility in detecting known and novel facets of NSCLC to inform treatment <br>decision-making.</p> <p><strong>DATA AVAILABILITY</strong></p> <p>The data and code presented in the study are deposited in this Zenodo repository, accession number <br>13137232 (<a href="https://zenodo.org/record/13137232">https://zenodo.org/record/13137232</a>). Raw sequencing data were derived from routine clinical testing of real-world patients and cannot be shared publicly. Further data inquiries can be directed to the corresponding <br>author. </p>
More open abstracts? Comparing abstract coverage in Crossref and OpenAlex [dataset]
<p>Aggregated data underlying the blogpost:<strong><br><br>More open abstracts? Comparing abstract coverage in Crossref and OpenAlex<br></strong><a href="https://bmkramer.github.io/SesameOpenScience_site/thought/202411_open_abstracts/">https://bmkramer.github.io/SesameOpenScience_site/thought/202411_open_abstracts/</a><strong><br></strong><br>The dataset contains the following files:</p> <ul> <li><em>abstracts_crossref_openalex_202410.csv</em></li> <li><em>abstracts_crossref_openalex_data_dictionary.txt</em></li> </ul> <p>The csv file contains data on abstract coverage for Crossref DOIs in Crossref and OpenAlex, aggregated by publisher, for the top 1000 publishers in terms of number of retrieved dois. Scope is limited to publications with Crossref type 'journal-articles' and publication years 2022-2024. Variables are described in the data dictionary included in this record.<br><br>This analysis was performed using <a href="https://openknowledge.community/" rel="nofollow">Curtin Open Knowledge Initiative (COKI)</a> infrastructure, which is documented on GitHub: <a href="https://github.com/The-Academic-Observatory">https://github.com/The-Academic-Observatory</a>. Here, a number of open data sources (including Crossref, OpenAlex and OpenAIRE) are ingested into a Google Big Query environment, which can then be queried via SQL.<br><br>The following data sources were used:</p> <ul> <li> <p>Crossref (Metadata Plus snaphot 2024-10-31, Crossref member route API 2024-11-20)</p> </li> <li> <p>OpenAlex (data snapshot 2024-10-30)</p> </li> </ul> <p><br>The code used to generate the dataset is available on GitHub: <a href="https://github.com/bmkramer/more_open_abstracts">https://github.com/bmkramer/more_open_abstracts</a></p> <p> </p>
Data for Influence of Coverage Dependence on the Thermophysical Properties of Adsorbates and its Impact on Microkinetic Models
<p>Data and scripts for the preprint "Influence of Coverage Dependence on the Thermophysical Properties of Adsorbates and its Impact on Microkinetic Models".</p>
Combining molecular data sets with strongly heterogeneous taxon coverage enlightens the peculiar biogeographic history of stoneflies (Insecta: Plecoptera)
<p class="Standard1">Extant members of the ancient insect order of stoneflies exhibit a disjunct, antitropical distribution, with one major lineage exclusively occurring in the Southern Hemisphere and the other, with few exceptions, on the Northern continents. Here, we address the biogeographic distribution and phylogenetic relationships of stoneflies using a phylogenetic workflow that combines both transcriptomic and Sanger sequence datasets with heterogeneous taxon coverage. We used a dataset comprising 2997 genes derived from the transcriptomes of 30 species and Sanger sequences of seven genes for 498 species. The backbone phylogeny was mainly inferred from the transcriptomic data, whereas the Sanger nucleotide sequence data provided high species density for divergence time estimation and diversification analyses. Our results show that the biogeographic pattern we observe today is primarily more likely shaped by long-distance over-land dispersal than by vicariance. We inferred that the ancestors of extant stoneflies originated in the Northern Hemisphere approximately 265 Ma and were presumably restricted to this area due to climatic and geographic boundaries. Our analyses suggest that with the break-up of Pangaea around 200 Ma and the associated climatic and geographical changes, two groups of stoneflies, the Anarctoperlaria and the Notonemouridae, dispersed to Gondwana and subsequently went extinct on the northern continents. Both groups likely dispersed across Gondwana before its break-up into the modern continents. At least one member of another group of 'northern' stoneflies, the Acroneuriinae, seems to have migrated from North America to South America around 67 Ma. We found four major net diversification rate shifts, indicating rapid radiation patterns that hampered a robust phylogenetic placement of these stonefly groups. Our study provides the first conclusive evolutionary explanation for the unique distribution pattern of stoneflies.</p>
Appendix. The status of global taxonomic checklist preparation for flowering plant families (based on Angiosperm Phylogeny Group II but modified to reflect circumscriptions of existing checklists). If a checklist is complete and available on the Internet then the URL is also given. The species numbers (sp. no.) given are either based on actual working lists (WL) where they exist or are based on Stevens (2006) if no WL is available. Five categories are used to describe the status of a particular working list: 1, checklist complete and accessible via the Internet now; 2, checklist available on Internet by end of 2007 (Asteraceae 2010); 3, checklist complete but not online; 4, some online lists giving partial coverage may be available; 5, no global checklist being compiled so far as known. in Towards Target 1 of the Global Strategy for Plant Conservation: A working list of all known plant species - Progress and prospects
Appendix. The status of global taxonomic checklist preparation for flowering plant families (based on Angiosperm Phylogeny Group II but modified to reflect circumscriptions of existing checklists). If a checklist is complete and available on the Internet then the URL is also given. The species numbers (sp. no.) given are either based on actual working lists (WL) where they exist or are based on Stevens (2006) if no WL is available. Five categories are used to describe the status of a particular working list: 1, checklist complete and accessible via the Internet now; 2, checklist available on Internet by end of 2007 (Asteraceae 2010); 3, checklist complete but not online; 4, some online lists giving partial coverage may be available; 5, no global checklist being compiled so far as known.
Serial seroprevalence study: follow-up of immunity to SARS-Cov-2 infection and monitoring of effective vaccination coverage, in three Chilean cities
<p>Population-based serosurvey in Santiago, Talca, and Coquimbo–La Serena </p>
Low-coverage whole-genome sequencing reveals molecular markers for spawning season and sex identification in Gulf of Maine Atlantic cod (Gadus morhua, Linnaeus 1758)
<p class="CxSpFirst">Atlantic cod (<i>Gadus morhua</i>,<i> </i>Linnaeus 1758) in the western Gulf of Maine are managed as a single stock despite several lines of evidence supporting two spawning groups (spring and winter) that overlap spatially, while exhibiting seasonal spawning isolation. Low-coverage whole genome sequencing was used to evaluate the genomic population structure of Atlantic cod spawning groups in the western Gulf of Maine and Georges Bank using 222 individuals collected over multiple years. Results indicated low total genomic differentiation, while also showing strong differentiation between spring and winter spawning groups at specific regions of the genome. Guided regularized random forest and ranked <i>F</i><sub>ST</sub> methods were used to select panels of single nucleotide polymorphisms (SNPs) that could reliably distinguish spring and winter-spawning Atlantic cod (88.5% assignment rate), as well as males and females (95.0% assignment rate) collected in the western Gulf of Maine. These SNP panels represent a valuable tool for fisheries research and management of Atlantic cod in the western Gulf of Maine that will aid investigations of stock production and support accuracy of future assessments.</p>
Dataset: On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas
<p>Dataset containing the geodata needed to replicate the analysis and the results related the research article: <a href="https://doi.org/10.1109/TNSM.2022.3190634">"On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas"</a> published on Transactions of Network and Service Management.</p> <p> </p> <p>This dataset contains all the data used in the research article: "On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas" published on Transactions of Network and Service Management.</p> <p>It is divided into three main archives:</p> <ul> <li>The first archive, called <strong>data.zip</strong>, contains the Data Surface Model (DSM) used to generate the intervisibility graphs. These maps have been aggregated from different sources and they are all released under a CC-BY-SA 4.0 license. The files follow the naming format {area}_{type}.tif, where type can be one of the followings: <ul> <li>'<strong>buildings_mask</strong>': contains the buildings' shapes in raster format. These have been obtained by rasterizing the OpenStreetMap vectorial buildings data.</li> <li>'<strong>roads_mask</strong>': contains the roads' shapes in raster format. These have been obtained by expading the OpenStreetMap road graph by a given a mount of meters and rasterizing the result.</li> <li>'<strong>dtm</strong>': the Data Terrain Model in raster format</li> <li>'': the polished version of the Data Surface Model, where the values of the DSM are used only for the buildings (to map the roofs) and outside of the buildings the values from the dtm are used. In this way trees and unmapped buildings are not considered.</li> </ul> </li> <li>The second archive, called <strong>results.zip</strong>, contains the outcome of our algorithm for the optimal BS locations. The folder format is the following: 'results/{area}/threestep/{sa_id}/{ranking_function}/{k}/{ratio}/{lambda} : <ul> <li>'area': corresponds to the macro area used for that specific run</li> <li>'sa_id': corresponds to the subarea id (from 0 to 4) of a specific block of that area</li> <li>'ranking_function': corresponds to the ranking function used by the algorithm for that specific result (see the research article for more information)</li> <li>'ratio': corresponds to the percentage of buildings used (see the research article for more information)</li> <li>'lambda': corresponds to the density of Base Stations deployed (see the research article for more information).</li> </ul> </li> </ul> <p>The data are licensed as follows:</p> <p>The DSM and DTM are licensed depending on the area:</p> <ul> <li><strong>Trento</strong>: The data are released by <a href="https://www.provincia.tn.it/">Provincia Autonoma di Trento</a> under a <a href="https://creativecommons.org/licenses/by/2.5/">CC-BY 2.5 License</a></li> <li><strong>Firenze</strong>: The data are released by <a href="https://www.regione.toscana.it/">Regione Toscana</a> under a <a href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0 License</a></li> <li><strong>Napoli</strong>: The data are released by <a href="https://cittametropolitana.na.it/">Città Metropolitana di Napoli</a> under a <a href="https://creativecommons.org/licenses/by-sa/4.0/">CC-BY-SA 4.0 License</a></li> </ul> <p>The OpenStreetMap data have been obtained by <a href="https://download.geofabrik.de/">geofabrik.de</a> and are released under an <a href="https://opendatacommons.org/licenses/odbl/">Open Data Commons Open Database License</a></p> <p> </p> <p>All the results can be replicated using our code, available on <a href="https://github.com/UniVe-NeDS-Lab/TrueBS">Github</a>.</p> <p> </p> <p>In order to cite this dataset please cite the original research article:</p> <p> </p> <pre><code>@article{9828530, author={Gemmi, Gabriele and Cigno, Renato Lo and Maccari, Leonardo}, journal={IEEE Transactions on Network and Service Management}, title={On Cost-effective, Reliable Coverage for LoS Communications in Urban Areas}, year={2022}, volume={}, number={}, pages={1-1}, doi={10.1109/TNSM.2022.3190634} } </code></pre> <p> </p>
Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage). Digital phase 10 release.
<p>This is the digital dataset which was created by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were the source documents for the production of the Soils of Scotland 1:63,360 and 1:50,000 published map series. Where no 1:25,000 published maps exist 1:63,360 maps have been digitised for this data set, the field SOURCE_MAP describes the source of the data. The mapping is based on Soil Associations, Soil Series and Phases which reflect parent material, major soil group, and soil sub-groups, drainage and (for soil phases), texture, stoniness, land use, rockiness, topography and organic matter. Phases are not always mapped. In general terms this dataset primarily covers the cultivated land of Scotland but also includes some upland areas. This data set is undergoing a phased revision, the latest (phase 8) was released in August 2021. The digitising of the recently added data was funded by the Rural & Environment Science & Analytical Services Division of the Scottish Government. The data can also be downloaded from or viewed at <a href="https://www.hutton.ac.uk/learning/natural-resource-datasets/soilshutton/soils-maps-scotland/download"><span><span> </span>https://www.hutton.ac.uk/soil-maps/ </span></a>or viewed at <a href="https://map.environment.gov.scot/Soil_maps/?layer=2">Scotland's Soils - soil maps (environment.gov.scot). </a> This map should be cited as: 'Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage). Digital phase 10 release. James Hutton Institute, Aberdeen. DOI 10.5281/zenodo.6908156 .</p>
Sequences of Staudtia kamerunensis obtained through low coverage whole genome skimming
<p>The impact of Pleistocene climatic oscillations on the biodiversity of African tropical rain forests remains poorly understood, and the Congo Basin is particularly understudied. We aim to elucidate how Pleistocene climatic oscillations shaped lowland tropical rain forests by investigating the intraspecific diversity and evolutionary history of a widespread tree species, <em>Staudtia kamerunensis</em> Warb.</p> <p>We sequenced 88 individuals of <em>Staudtia kamerunensis</em> and 1 of <em>Staudtia pterocarpa</em> using a genome skimming approach. We used maximum likelihood and Bayesian inference to infer the plastid phylogeny. We estimated the time of speciation and differentiation, genetic diversity, and we employed a continuous phylogeographic approach to infer the dispersal history of its plastid lineages.</p> <p>We identified five plastid lineages that diverged during the Early or Middle Pleistocene and are parapatric, suggesting past population fragmentation. Four lineages are endemic to Lower Guinea, and one spans the Congo Basin. We found contrasting patterns of expansion in the two regions, with a rapid and recent range expansion of the Congolian lineage in the last 200,000 years, while the spread of the Lower Guinean lineages was substantially slower.</p> <p>The contrasting demographic histories between eastern and western lineages, associated with contrasted levels of plant species richness and rates of endemism, suggest that forest cover was more stable in Lower Guinea during the Late Pleistocene than in Congolia, where the biodiversity might have been eroded before the forest re-expanded in the Congo basin. This study illustrates how a continuous phylogeographic inference approach, mostly applied so far for inferring the spread of fast-evolving pathogens over months or years, can provide new insights to reconstruct the dispersal history of tropical tree species over thousands or millions of years.</p>
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool
<p><strong>Replication package for our paper </strong><a href="https://arxiv.org/abs/2212.06540">Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool</a></p> <p>It contains the following files:</p> <ol> <li>Our data set of 432,411 news headlines annotated as being environmental-, governance-, or social-related. We encourage fellow researchers to use the corpus as a benchmark for other ESG-relevant NLP tasks.</li> <li>Code/Notebooks that we used for the training and evaluation of our company detection, ESG classification, and sentiment models</li> <li>Full tables detailing the results of all experiments performed </li> </ol>
MUSES Fractional Vegetation Coverage (FVC) 16-Day 30m Geographic Grid over Beijing Since 1984
<p>The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>).</p> <p>This dataset is the MUSES FVC product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES FVC product is provided on Geographic grid and spans from 1984 to 2021 (continuously updated). It was generated from the MUSES LAI product at 30 m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: 115.416599º E – 117.508219º E, 39.441929º N – 41.059283º N</li> <li>Temporal Coverage: 1984 – 2021</li> <li>Spatial Resolution: 0.000269469º (approximately 30 m)</li> <li>Temporal Resolution: 16 days</li> <li>Projection: Geographic</li> <li>Data Format: HDF</li> <li>Scale: 0.004</li> <li>Valid Range: 0 – 250</li> </ul> <p><strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong></p> <ol> <li>Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337.</li> </ol> <p>If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).</p> <p> </p>
Code Coverage Dataset Sample
<p>This is a code coverage dataset sample for submission the The Web Conference 2023. It is submitted anonymously to preserve the double-blind review process.</p>
Antarctic metagenome coverage data against known haloarchaea
<p>Coverage of selected antarctic metagenomes against some single-genome antarctic haloarchaea. </p> <p>This dataset supports a publication in development.</p> <p>Figures generated with script found at: https://github.com/cerebis/antarctic_ha</p>
Hepatitis B vaccination coverage and associated factors among personnel working in health facilities in Kumasi, Ghana
<p>As part of efforts to reach the elimination target by 2030, the WHO and CDC recommend that all healthcare workers (HCWs) adhere to the 3-dose hepatitis B vaccination schedule to protect themselves against the infection. This study assessed Hepatitis B vaccination coverage and associated factors among personnel working in health facilities in Kumasi, Ghana. A cross-sectional study involving 530 HCWs was conducted in four hospitals in Kumasi from September to November 2023. An investigator-administered questionnaire was employed in gathering participant demographics and other information related to vaccination coverage. IBM SPSS version 26.0 and GraphPad Prism 8.0 were used for analysing the data. Even though, the majority (70.6%) reported having taken at least one dose of the vaccine, only 43.6% were fully vaccinated (≥ 3 doses). More than a quarter (29.4%) had not taken any dose of the HBV vaccine. Close to a quarter (23.6%) had not screened or tested for HBV infection in their lifetime. The Statistically significant variables influencing vaccination status were age, marital status, profession, and status in the hospital. The majority (44.9%) of the participants who have not taken the vaccine reported they do not have a reason for not taking the vaccine and a high proportion (80.1%) were willing to take the vaccine when given for free. To combat the low hepatitis B vaccination coverage among healthcare workers in Kumasi, Ghana, amidst the significant public health threat of HBV infection, comprehensive measures are necessary. These include implementing infection prevention control programmes, enhancing occupational health and safety, and conducting health promotion campaigns in healthcare facilities. Extending and intensifying hepatitis B screening and vaccination initiatives to tertiary institutions and encouraging employers, supervisors, or team leaders to provide these services nationwide are also recommended.</p>
STEM images used for a paper Aberration-Corrected STEM to Determine the Surface Coverage and Distribution of Immobilized Molecular Complexes
<p>Theses are STEM images used to calculate the surface coverage and/or Ripley's K function presented in the paper "Statistical Analysis of HAADF-STEM Images to Determine the Surface Coverage and Distribution of Immobilized Molecular Complexes"</p>
Data on snail coverage in a mesocosm experiment in the Oslofjord June to September 2022
<p><span>In August and September 2022, we measured <em>Littorina</em> sp. coverage on step 2 (the lower intertidal) in each basin. Coverage was visually identified as presence or absence in each of 16 5x5cm large cells within a 20x20 cm frame. Three frames were randomly placed within the seaweed patches and three in the seaweed-free corridors outside of the patches. Coverage was estimated as the percent of all 16 cells in the frames having <em>Littorina</em> sp. presence. </span></p>
Data set for "Frequency of Prejudice Coverage in News Media Worldwide"
<p>Previous research has identified a post-2010 sharp increase of terms used to denounce prejudice (i.e. racism, sexism, homophobia, Islamophobia, anti-Semitism, etc.) in U.S. and U.K. news media content. Here, we extend previous analysis to an international sample of news media organizations. Thus, we quantify the prevalence of prejudice-denouncing terms and social justice associated terminology (diversity, inclusion, equality, etc.) in over 98 million news and opinion articles across 124 popular news media outlets from 36 countries representing 6 different world regions: English-speaking West, continental Europe, Latin America, sub-Saharan Africa, Persian Gulf region and Asia. We find that the post-2010 increasing prominence in news media of the studied terminology is not circumscribed to the U.S. and the U.K. but rather appears to be a mostly global phenomenon starting in the first half of the 2010s decade in pioneering countries yet largely prevalent around the globe post-2015. However, different world regions’ news media emphasize distinct types of prejudice with varying degrees of intensity. We find no evidence of U.S. news media having been first in the world in increasing the frequency of prejudice coverage in their content. The large degree of temporal synchronicity with which the studied set of terms increased in news media across a vast majority of countries raises important questions about the root causes driving this phenomenon.</p> <p>We provide here a reproducibility data set of counts of target terms and total number of unigrams in each article analyzed plus a Google searchable prefix of the headline of the article for verification of the integrity of the data set and the frequency counts. </p>
Replication package for: "Measuring Social Benefits of Media Coverage: How Coverage of Climate Change Affects Behaviour"
<p>Stata code, publicly available data, and generated data for proprietary data for: Beattie, Graham (2024). 'Measuring Social Benefits of Media Coverage: How Coverage of Climate Change Affects Behaviour'. <em>Economic Journal</em>, forthcoming</p>
Data for the thesis "Exploring Heuristics for Predicting Microbenchmark Stability and Code Coverage using Static Code Analysis"
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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.