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21,320 results for “Transcription”
Fig 1 in Docosahexaenoic Acid (DHA) Reduces LPSInduced Inflammatory Response Via ATF3 Transcription Factor and Stimulates Src/ Syk Signaling-Dependent Phagocytosis in Microglia
<p>Viability of microglia incubated with various concentration of DHA for 12 h (A) and LPS for 2.5 h (B). Viability of microglia incubated with 20 μM DHA followed by 10 ng/ ml LPS treatment (C).</p>
FIG. 6 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 6. — Temporal distribution of Annonaceae specimens collected in the Herbonautes dataset. The Histogram and left hand axis represent specimens collected per 5-year intervals. The right-hand axis and continuous line represent the cumulative specimens collected in total over the entire time period. The earliest Annonaceae collected and transcribed within the dataset is from 1740, a specimen of Annona squamosa L. collected in China by Pierre Nicolas le Chéron d'Incarville. The newest transcribed specimens are from 2015.
FIG. 5 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 5. — Spatial distribution of species richness in datasets for Madagascar at 0.5 × 0.5° grid resolution: A, curated expert dataset; B, herbonautes transcribed data; C, GBIF data. Equirectangular (EPSG 4326) projection.
FIG. 4 in High-quality herbarium-label transcription by citizen scientists improves taxonomic and spatial representation of the tropical plant family Annonaceae
FIG. 4. — Global spatial coverage of datasets, showing regions covered by both Herbonautes (P) and GBIF data, just by GBIF and just by Herbonautes. Grid resolution 1 × 1° (c. 110 × 110 km at the equator), equirectangular (EPSG 4326) projection.
Transfer learning and DNA language models enhance transcription factor binding predictions
<p>This is the dataset for replicating the results of the paper called "Transfer learning and DNA language models enhance transcription factor binding predictions" by Ekin Deniz Aksu and Martin Vingron.</p> <p>See https://github.com/ekinda/tfbs_prediction_paper</p>
Generation of transcriptional novelty by transposable element insertions in Arabidopsis, RNAseq Control Condition Sequencing Data
<p><strong>Arabidopsis stranded 150 bp paired end RNA sequencing data (Illumina) of plants that were grown under control conditions for the manuscript "Generation of transcriptional novelty by transposable element insertions in Arabidopsis"</strong></p> <p><strong><strong>Plant growth conditions</strong></strong></p> <p>Sequenced F4 seeds were sterilized for 10 minutes in 10% bleach, rinsed, and stratified at 4°C for four days in the dark before being sown on 0.5x Murashige & Skoog media (Du<em>schefa cat# M0222</em>) and transferred to growth chambers under long day conditions (16h of light at 24°C followed by 8h of darkness at 21°C; 20 seeds per plate, 6 replicate plates). Ten days after sowing, plants were subjected to 6°C for 24 hours and control plants were returned to normal long day growing conditions for 24 hours before harvesting (3 replicate plates per condition).</p> <p><strong><strong>RNA extraction and sequencing</strong></strong></p> <p>Seedlings were harvested and RNA extractions were done on pools of 5 plants. RNA extractions were performed for 3 biological replicate samples for each line in each condition (n=96) using the Macherey-Nagel NucleoSpin RNA kit (cat# 740955.50). Samples were sent to Novogene for Illumina 150bp paired-end sequencing using a stranded poly-A library.</p> <p><strong>RNAseq sample descriptions of the plants grown under control conditions</strong></p> <p>wt_control: wild-type plants.</p> <p>wtHS_control: wild-type plants that have been submitted to heat stress in a previous generation.</p> <p>wtAZ_control: wild-type plants that have been submitted to epigenetic drug treatments (alpha-amanitin and zebularine) in a previous generation.</p> <p>htLine#: plants carrying additional <em>ONSEN</em> transposable element insertions.</p> <p>Files description: Forward and reverse strand RNA seq data are combined in one file. The numbering at the end ("_1") denominates the biological replicate number.</p>
Flow Cytometry data from: "The EMT transcription factor Zeb1 is essential for HSPC differentiation that acts synergistically with Zeb2 in fine-tuning hematopoietic lineage fidelity"
<p>Abstract:</p> <p>The Zeb2 transcription factor has been demonstrated to play important roles in hematopoiesis and leukemic transformation. Zeb1 is a close family member of Zeb2 but has remained more enigmatic concerning its roles in hematopoiesis. Here we show using conditional loss of function approaches and bone marrow reconstitution experiments that Zeb1 plays cell autonomous role in hematopoietic lineage differentiation, particularly as a positive regulator of monocyte development in addition to its previously reported important role in T-cell differentiation. Analysis of existing single cell RNAseq data of early hematopoiesis has revealed distinctive expression differences between Zeb1 and Zeb2 in HSPC differentiation with Zeb2 being more highly and broadly expressed that Zeb1 except at a key transition point (ST-HSCàMPP1) whereby Zeb1 appears to be the dominantly expressed family member. Inducible deletion of both Zeb1 and Zeb2 using a tamoxifen inducible Cre-mediated approach leads to acute bone marrow failure at this transition point with increased long-term and shortterm hematopoietic stem cell numbers and an accompanying decrease in all hematopoietic lineage differentiation. Bioinformatics analysis of RNAseq data has revealed that Zeb2 acts predominantly as a transcriptional repressor involved in restraining mature hematopoietic lineage gene expression programs from being expressed too early in hematopoietic stem and progenitor cells (HSPCs). Zeb1 appears to fine tune this repressive role during hematopoiesis to ensure hematopoietic lineage fidelity. Analysis of ROSA26 locus based transgenic models has revealed that Zeb1 as well as Zeb2 overexpression within the hematopoietic system can drive extramedullary hematopoiesis/splenomegaly and enhanced monocyte development. Finally, deletion of Zeb2 alone or Zeb1/2 together was found to enhance survival in secondary MLL-AF9 AML models attesting to the oncogenic role of Zeb1/2 in AML.</p> <p> </p> <p>Flow cytometric and Hematocrit analysis methods: </p> <p><br> Cells were stained with antibodies listed in the provided Supplemental Table (Antibodies.xlsx) according to the manufacturer guidelines. Flow cytometric analyses were performed on the LSRII and Fortessa X-20 cytometer (BD Biosciences) and the results were analysed by FACSDiva or FlowJo software (BD Biosciences). Cells for MLL-AF9 experiments and RNA-seq were stained and sorted on Influx or FACSAria Fusion sorters (BD Biosciences) at AMREP Flow Cytometry Core Facility and FlowCore, Monash University. <br> Submandibular blood samples were collected into EDTA-coated tubes, and hematology parameters were measured using a HemaVet 950FS automated blood analysis machine (Drew Scientific).</p>
Microbial 16S rRNA gene (DNA) and transcripts (cDNA) along a boreal soil-freshwater-estuary continuum
<p>This repository stores the processed files of the 16S rRNA sequencing reads (DNA and cDNA) of the La Romaine project, which were processed through the DADA2 pipeline. Files are '.rds' files and/or '.csv' files readable by the open statistical software R. The project is part of the Industrial Research Chair in Carbon Biogeochemistry in Boreal Aquatic systems (CarBBAS Chair) led by Paul A. del Giorgio.</p> <p>Samples were pooled by plate ID and season to be processed by DADA2. The number before each '*_seqtab.rds' file corresponds to a pool. ID details are in "splitdf_new.rds".</p> <p>Raw sequences can be found on SRA under the Bioproject number: PRJNA693020. Intermediate processing files are stored here. And scripts are available on <a href="https://github.com/CarBBAS/Paper_Stadler-delGiorgio_ISMEJ_2021">Github</a>.</p> <p>Files are being uploaded as manuscripts are published.</p> <p>Currently available files:</p> <ul> <li>2015-2017: 16S rRNA gene and transcripts (DNA and cDNA) in spring, summer, autumn (shallow sequencing) <ul> <li>Part of the manuscript: "Terrestrial connectivity, upstream aquatic history and seasonality shape bacterial community assembly within a large boreal aquatic network". The ISME Journal. 2021.</li> </ul> </li> </ul>
Supplementary material for: RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding
<p>Supplementary Material for the Article</p> <p>Santana-Garcia, W., Rocha-Acevedo, M., Ramirez-Navarro, L., Mbouamboua, Y., Thieffry, D., Thomas-Chollier, M., Contreras-Moreira, B., van Helden, J., Medina-Rivera, A., 2019. RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. Comput. Struct. Biotechnol. J. 17, 1415–1428.</p> <p> </p>
Faithful Transcriptions Data Set: TEI/XML-encoded Transcriptions of Medieval Theological Manuscripts
<p>From May to July 2021, the Berlin State Library and the Leipzig University Library jointly organized the Transcribathon <a href="https://lab.sbb.berlin/events/faithful-transcriptions/">“Faithful Transcriptions”</a>, a digital crowd souring project on medieval theological manuscripts. During the project, over 100 participants produced TEI/XML-encoded transcriptions in the IIIF workspace of the <a href="https://handschriftenportal.de/">Handschriftenportal</a>, which is currently being developed.</p> <p>The <a href="https://lab.sbb.berlin/datensets-transkribathon/">Faithful Transcriptions Data Set</a> contains 181 pages with 8.952 text lines from 12 manuscripts in German, Dutch, and Latin. The medieval scripts include Textura, Textualis, Gothic Cursiva, and Bastarda. The transcriptions are linked to the coordinates of the digitized manuscript image on text line level.</p> <p>--------------------------------------------</p> <p>Von Mai bis Juli 2021 richtete die Staatsbibliothek zu Berlin in Kooperation mit der Universitätsbibliothek Leipzig den Transkribathon <a href="https://lab.sbb.berlin/events/faithful-transcriptions/">„Faithful Transcriptions“</a> aus, ein digitales Crowd-Sourcing-Projekt zu theologischen Handschriften des Mittelalters. Über 100 Teilnehmende fertigten dabei TEI/XML-codierte Transkriptionen in der IIIF-basierten Arbeitsumgebung des aktuell in Entwicklung befindlichen <a href="https://handschriftenportal.de/">Handschriftenportals</a> an. </p> <p>Das <a href="https://lab.sbb.berlin/datensets-transkribathon/">Faithful Transcriptions-Datenset</a> enthält 181 Seiten mit 8.952 Textzeilen aus 12 Handschriften in deutscher, niederländischer und lateinischer Sprache. Die mittelalterlichen Schriften reichen von Textura über Textualis und Gotische Kursive bis hin zur Bastarda. Die Transkriptionen sind mit den Bildkoordinaten des Handschriftendigitalisats auf Textzeilenebene verknüpft. </p>
Cooperative action of separate interaction domains promotes high-affinity DNA binding of Arabidopsis thaliana ARF transcription factors
<p>The repository contains the smFRET and SAXS data presented in the preprint https://doi.org/10.1101/2022.11.16.516730 (BioRxiv)</p>
A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity
<p> </p> <p>In our manuscript, we utilized scRNA-seq libraries we generated from:</p> <p>-8 human psoriatic skin samples and 7 healthy control skin samples (ZIST.rds)</p> <p>-3 human psoriatic skin samples before and after tildrakizumab treatment (three_tildra_Trm1.rds) </p> <p>These *rds files are the Seurat objects for these data sets post-filtering and integration. For raw sequencing data corresponding to these samples, access can be found under accession number EGA: S00001005271.</p> <p>We also utilized bulk RNAseq data generated from CRISPR-Cas9 knockout of ZFP36L2 in human CD4 T cells from 3 different donors. The count matrices for each of these individual samples is uploaded here alongside a key explaining what each of the samples are with filenames that also correspond to the raw fastq files submitted at the European Genome-Phenome Archive (EGA), under accession number EGA: S00001005271. There are two replicates for each sample.</p> <p>All methods underlying the generation and analysis of these datasets can be found in the original manuscript: </p> <p>Cook CP, Taylor M, Liu Y, et al. A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity. <em>Cell Rep Med</em>. 2022;3(8):100715. doi:10.1016/j.xcrm.2022.100715</p> <p><br> Any additional questions or information requests can be addressed to Jeffrey.cheng@ucsf.edu or cook.675@berkeley.edu</p> <p> </p>
Hindustani Classical Music Transcription Dataset
<p>This dataset includes the transcriptions of Hindustani classical music recordings. Overall there are 430 pieces each having a 25-sec duration. These pieces include 329 Alap, 79 mid, and 22 end sections taken from 50 music recordings. Each transcription consists of annotations for Shrutis (22 in one octave) in 3 Shaptak (22 * 3 = 66), Alankar, and Silence or noise. We also include a symbol table mapping each annotation to a unique Unicode character.</p> <p> </p> <p>_________________________________________________________________________________________________________<br> This project was funded under grant number: ECR/2018/000204 by the Science & Engineering Research Board (SERB).</p>
Mammalian Evolution of Human cis-regulatory Elements and Transcription Factor Binding Sites
<p>Code and data associated with the manuscript entitled "Mammalian Evolution of Human cis-regulatory Elements and Transcription Factor Binding Sites "</p>
Transcription of pp. 425-477 from the probate inventory of the house of Pieter de Graeff (1638-1707), Lord of Zuid-Polsbroek, Purmerland and Ilpendam, and VOC director in the Amsterdam chamber, at Herengracht 573
<p>Transcription of pp. 425-477 from the probate inventory of the house of Pieter de Graeff (1638-1707), Lord of Zuid-Polsbroek, Purmerland and Ilpendam, and VOC director in the Amsterdam chamber, at Herengracht 573 (Amsterdam City Archives, Inventaris van het Archief van de Notarissen ter Standplaats Amsterdam (nr. 5075), inv. nr. 5001, pp. 425-477, notary Michiel Servaes (nr. 199), 8 March 1709). The transcription was made as part of the NWO-funded Virtual Interiors project (2018-2022; https://www.virtualinteriorsproject.nl/).</p>
N20EM dataset for multimodal lyric transcription
<p>N20EM dataset for multimodal lyric transcription, proposed in our ACM MM 2022 paper, MM-ALT: A Multimodal Automatic Lyric Transcription System. This dataset contains recordings of three modalities: audio, video, and IMU motion signal. </p> <p>Our paper's camera ready version: https://arxiv.org/abs/2207.06127</p> <p>Project website: https://n20em.github.io/</p> <p><strong>Note: </strong></p> <ol> <li><strong>Once you download the dataset, we assume you have read and agreed with the <a href="https://drive.google.com/file/d/1te7AxPTSGAdyqqNtkfjFbtCv4ydwgcOF/view?usp=sharing">Terms and Conditions</a>.</strong></li> <li><strong>Commercial usage is strictly prohibited.</strong></li> </ol> <p>Please cite our work as:</p> <p>@inproceedings{gu2022mm, title={MM-ALT: A multimodal automatic lyric transcription system}, author={Gu, Xiangming and Ou, Longshen and Ong, Danielle and Wang, Ye}, booktitle={Proceedings of the 30th ACM International Conference on Multimedia}, pages={3328--3337}, year={2022} }</p> <p> </p>
FEDORA. Excerpts from essays, transcript of interviews and group discussions on students' future perception. Part 2: Essays, Finland.
<p><strong>Version 1.0.</strong></p> <p><strong>Related to </strong>https://zenodo.org/record/4734161</p> <p><strong>Changes: README </strong>added to this description page.</p> <p> </p> <p>Description</p> <p>This matrix, presented in two formats (.xlsx and .csv), contains an English-language dataset (translated from original Finnish). The data relate to a research article <em>Agency and transformative potential of technology in students’ images of the future: Futures thinking as critical scientific literacy, </em>accepted to be published in Science & Education.</p> <p>As per ethical concerns and participants' consent, the dataset is given in a fully anonymised form. Here, excerpts from students' essays (the context of which is given in the article) are given. The excerpts are the ones that have been used in analysis for the article identified above. Further details will be available in the published article.</p> <p>A number of excerpts are given, originating in 57 essays in which upper-secondary students imagine the year 2035 or 2040 and the technological environment in which they would like to live at that time. This overlaps with another dataset (see link above); a numbering scheme was used to group codes for the analysis: type of technology (1), effect of technology (1E), and positive/negative framing (2A). The 1-codes are omitted. While these are unrelated to the article of this analysis, the 2B-2D codes correspond to the categories in the article. Due to some unfortunate redundancies, some excerpts are separated in this version. However, the data should provide transparency for the analysis.</p> <p>The dataset is intended for providing transparency, but it may also be used for further research, in which case some processing is needed. Assistance (clarification) may be available from the authors at reasonable request. Please note that the dataset presented here contains redundancies and may contain a few additional codes that were not used in the analysis. The redundant quotations from the essays were not duplicated in the analysis, but were not removed from this spreadsheet export. Apologies for any inconvenience.</p> <p>To preserve full anonymity, students are not identified by any marker or pseudonym here; rather, the quotations are given alphabetically. The start and end of passages has not been checked for additional or missing first and last characters, as these can easily be inferred.</p> <p>The related research article gives a fuller description of the dataset and analysis.</p> <p>Please contact the corresponding author for more information.</p> <p> </p> <p>---</p> <p><a href="https://zenodo.org/communities/futuresthinking?page=1&size=20">FEDORA Project</a> README:</p> <p> </p> <p><strong>README</strong></p> <p><strong>Data Set Title:</strong> “FEDORA. Excerpts from essays, transcript of interviews and group discussions on students’ future perception. Finland"</p> <p><strong>Data Set Author/s:</strong> Antti Laherto, Tapio Rasa, Jari Lavonen (University of Helsinki)</p> <p><strong>Data Set Contact Person/s</strong>: Tapio Rasa<strong> </strong>(University of Helsinki), ORCID 0000-0003-1315-5207, tapio.rasa@helsinki.fi;</p> <p><strong>Data Set License</strong>: this data set is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.</p> <p><strong>Publication Year</strong>: 2023</p> <p><strong>Project Info</strong>: FEDORA<strong> </strong>(Future-oriented Science EDucation to enhance Responsibility and engagement in the society of Acceleration and uncertainty<strong> , </strong>funded by European Union, Horizon 2020 Programme. Grant Agreement num.<strong> </strong>872841,<br> www.fedora-project.eu)</p> <p> </p> <p><strong>Data set Contents</strong></p> <p>The data set consists of:</p> <p>One spreadsheet file, provided in two alternative formats (CSV and XLSX).</p> <p>Students_images_of_tech_futures_agency_DATA_Zenodo_csv.csv</p> <p>Students_images_of_tech_futures_agency_DATA_Zenodo_xlsx.xlsx</p> <p> </p> <p><strong>Data set Documentation</strong></p> <p><em>Given above this README, on the ZENODO repository. </em><em>https://zenodo.org/record/6397196</em></p> <p> </p>
DH Lab: Interview Transcripts
<p>The interviews were part of the Marie Skłodowska-Curie research project “Digital Humanities Laboratory: Studying the Entanglement of Infrastructure and Technology in Knowledge Production”. The project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891155. The goal of the project was to investigate the mechanism of knowledge production in digital humanities and the influence of infrastructure on social and research practices in a laboratory. It aimed to contribute to understanding these complex processes and the development and improvement of digital humanities infrastructure.</p> <p>A set of interviews were conducted with members of King’s Digital Lab, management staff and researchers involved in the lab work. Discussions revolved around the institutional, research, and socio-technical infrastructure of King’s College London and King’s Digital Lab; the social practices of digital projects; the project lifecycle; the use of digital tools in everyday research practices; and the conditions and challenges of conducting research with regards to the lab management, organisation, location, policies, access to resources, and facilities.</p> <p>These files are the transcripts of the interviews that took place in 2021.</p> <p>Research website: <a href="https://dhinfra-org.github.io/">https://dhinfra-org.github.io/</a></p>
Expression of a corA-lacZ transcriptional fusion in Salmonella
<p>A <i>corA-lacZ</i> transcriptional fusion was shown to be activated by RpoS when<i> Salmonella</i> is grown to stationary phase in LB rich medium (Metaane<i> et al</i>. 2022)</p><p>Here, expression of the <i>corA-lacZ</i> fusion was evaluated in <i>Salmonella</i> wild-type strain and <i>rpoS</i> mutant grown to stationary phase in LB medium containing different concentrations of Mg and in minimal medium M63 starved or not for Mg. RpoS was required fort optimal expression of the fusion in these three environmental conditions and level of expression was slightly higher when the extracellular magnesium concentration was low.</p><p>Metaane S, Monteil V, Ayrault S, Bordier L, Levi-Meyreuis C, Norel F. The stress sigma factor sigmaS/RpoS counteracts Fur repression of genes involved in iron and manganese metabolism and modulates the ionome of <i>Salmonella enterica</i> serovar Typhimurium. PloS one 2022, 17(3):e0265511.</p><p><strong>This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).</strong></p><p>See also:</p><p>Metaane S, Monteil V, Douché T, Giai Gianetto Q, Matondo M, Maufrais C, Norel F. Loss of CorA, the primary magnesium transporter of <i>Salmonella, </i>is alleviated by MgtA and PhoP-dependent compensatory mechanisms. PloS one 2023, 18(9):e0291736.</p><p>NOREL, MONTEIL, & METAANE. (2023). Towards new elements involved in magnesium and cobalt trafficking in Salmonella serovar Typhimurium. Zenodo. <a href="https://doi.org/10.5281/zenodo.8086417">https://doi.org/10.5281/zenodo.8086417</a></p><p>NOREL, METAANE, & MONTEIL. (2023). Detection of physical interactions between the magnesium transporter CorA and other Cor proteins using the bacterial two hybrid system (BACTH). Zenodo. <a href="https://doi.org/10.5281/zenodo.7994619">https://doi.org/10.5281/zenodo.7994619</a></p><p>NOREL Francoise, MONTEIL Veronique, DOUCHE Thibaut, & MATONDO Mariette. (2023). Global effects of deletions of the sitABCD, mntH, cbiMNQO and corA genes, encoding transporters for manganese, cobalt and magnesium on protein abundance in Salmonella enterica serovar Typhimurium grown to stationary phase in LB. [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.8279780">https://doi.org/10.5281/zenodo.8279780</a></p>
Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?
<p>Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners.</p> <p>Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. </p> <p>Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22),<a href="http://headconf.org/"> </a><a href="http://headconf.org/">HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org)</a> and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN) </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.