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181 results for “cross-species”
Cross-species analysis of genetic architecture and polygenic risk scores for non-contact ACL rupture in dogs and humans
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Reservoir dynamics of rabies in Southeast Tanzania and the roles of cross-species transmission and domestic dog vaccination
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Cross-species transcriptomics uncovers genes underlying genetic accommodation of developmental plasticity in spadefoot toads
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Data from: Inference of cross-species gene flow using genomic data depends on the methods: Case study of gene flow in Drosophila
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Compiled comparative data and the R code from: "Why do some primate mothers carry their infant's corpse? A cross-species comparative study"
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Estimation of species divergence times in presence of cross-species gene flow
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Data from: Standardization and validation of a panel of cross-species microsatellites to individually identify the Asiatic wild dog (Cuon alpinus)
The Asiatic wild dog or dhole (Cuon alpinus) is a highly elusive, monophyletic, forest dwelling, social canid distributed across south and Southeast Asia. Severe pressures from habitat loss, prey depletion, disease, human persecution and interspecific competition resulted in global population decline in dholes. Despite a declining population trend, detailed information on population size, ecology, demography and genetics is lacking. Generating reliable information at landscape level for dholes is challenging due to their secretive behaviour and monomorphic physical features. Recent advances in non-invasive DNA-based tools can be used to monitor populations and individuals across large landscapes. In this paper, we describe standardization and validation of faecal DNA-based methods for individual identification of dholes. We tested this method on 249 field-collected dhole faeces from five protected areas of the central Indian landscape in the state of Maharashtra, India. Results We tested a total of 18 cross-species markers and developed a panel of 12 markers for unambiguous individual identification of dholes. This marker panel identified 101 unique individuals from faecal samples collected across our pilot field study area. These loci showed varied level of amplification success (57-88%), polymorphism (3-9 alleles), heterozygosity (0.23-0.63) and produced a cumulative misidentification rate or PID(unbiased) and PID(sibs) value of 4.7x10-10 and 1.5x10-4, respectively, indicating a high statistical power in individual discrimination from poor quality samples. Conclusion Our results demonstrated that the selected panel of 12 microsatellite loci can conclusively identify dholes from poor quality, non-invasive biological samples and help in exploring various population parameters. This genetic approach would be useful in dhole population estimation across its range and will help in assessing population trends and other genetic parameters for this elusive, social carnivore.
Fig. 1 in Interplay between co-divergence and cross-species transmission in the evolutionary history of bat coronaviruses
Fig. 1. Host association and geographical distribution of the CoV sequences analyzed here. Countries within large-scale geographical regions are colored according to the number of CoV analyzed. Pie charts indicate the host-association of the CoV sequences included within each geographical area, with the colors indicating the different families of bat hosts. The map was built using mapchart (https://mapchart.net).
Fig. 2 in Interplay between co-divergence and cross-species transmission in the evolutionary history of bat coronaviruses
Fig. 2. Phylogenetic overview of CoV sequences analyzed here. The tree reflects a Bayesian analysis of 935 bp of the RdRp gene (data set RdRp_CoV_1), rooted using two sequences from gamma coronaviruses (GenBank accession numbers EF584911-2). Genus specific clusters identified in our study are colored based on the host genus, as indicated. Posterior probabilities> 0.90 supporting each cluster are shown. Branch lengths are scaled according to the number of substitutions per site. The three bars around the tree show the frequency within each cluster of (i) host genera, (ii) host species and (iii) sampling locations, from the innermost to the most exterior. Sequences showing characters with frequency <10%, between 10 and 50%, and> 50% are colored black, grey and light grey, respectively. For the "host species" bar, only sequences belonging to the host genus characterizing the cluster (frequency> 50%) have been colored; sequences associated with hosts only characterized at the genus level are indicated in yellow. The ICTV classification of virus clusters is indicated when available. The figure was generated using iTOL.
Data from: Noninvasive individual and species identification of jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) in Belize, Central America using cross-species microsatellites and fecal DNA
There is a great need to develop efficient, noninvasive genetic sampling methods to study wild populations of multiple, co-occurring, threatened felids. This is especially important for molecular scatology studies occurring in challenging tropical environments where DNA degrades quickly and the quality of faecal samples varies greatly. We optimized 14 polymorphic microsatellite loci for jaguars (Panthera onca), pumas (Puma concolor) and ocelots (Leopardus pardalis) and assessed their utility for cross-species amplification. Additionally, we tested their reliability for species and individual identification using DNA from faeces of wild felids detected by a scat detector dog across Belize in Central America. All microsatellite loci were successfully amplified in the three target species, were polymorphic with average expected heterozygosities of HE = 0.60 ± 0.18 (SD) for jaguars, HE = 0.65 ± 0.21 (SD) for pumas and HE = 0.70 ± 0.13 (SD) for ocelots and had an overall PCR amplification success of 61%. We used this nuclear DNA primer set to successfully identify species and individuals from 49% of 1053 field-collected scat samples. This set of optimized microsatellite multiplexes represents a powerful tool for future efforts to conduct noninvasive studies on multiple, wild Neotropical felids.
Data from: Genome sequence of dwarf birch (Betula nana) and cross-species RAD markers
New sequencing technologies allow development of genome-wide markers for any genus of ecological interest, including plant genera such as Betula (birch) that have previously proved difficult to study due to widespread polyploidy and hybridisation. We present a de novo reference genome sequence assembly, from 67X short read coverage, of Betula nana (dwarf birch) – a diploid that is the keystone woody species of sub-arctic scrub communities but of conservation concern in Britain. We also present 100bp PstI RAD markers for B. nana and closely related Betula tree species. Assembly of RAD markers in 15 individuals by alignment to the reference B. nana genome yielded 44k-86k RAD loci per individual, whereas de novo RAD assembly yielded 64k-121k loci per individual. Of the loci assembled by the de novo method, 3k homologous loci were found in all 15 individuals studied, and 35k in 10 or more individuals. Matching of RAD loci to RAD locus catalogs from the B. nana individual used for the reference genome, showed similar numbers of matches from both methods of RAD locus assembly but indicated that the de novo RAD assembly method may over-assemble some paralogous loci. In 12 individuals hetero-specific to B. nana 37k-47k RAD loci matched a catalog of RAD loci from the B. nana individual used for the reference genome, whereas 44k-60k RAD loci aligned to the B. nana reference genome itself. We present a preliminary study of allele sharing among species, demonstrating the utility of the data for introgression studies and for the identification of species-specific alleles.
Data from: Phylogeographic and cross-species transmission dynamics of SAT1 and SAT2 Foot-and-Mouth Disease Virus in Eastern Africa
Understanding the dynamics of foot-and-mouth disease virus (FMDV), an endemic and economically constraining disease, is critical in designing control programs in Africa. This study investigates the evolutionary epidemiology of SAT1 and SAT2 FMDV in Eastern Africa, as well as between cattle and wild African buffalo. Bayesian phylodynamic models were used to analyze SAT1 and SAT2 VP1 gene segments collected between 1975 and 2016, focusing on the SAT1 and SAT2 viruses currently circulating in Eastern Africa. The root state posterior probabilities inferred from our analyses suggest Zimbabwe as the ancestral location for SAT1 currently circulating in Eastern Africa (P=0.67). For the SAT2 clade, Kenya is inferred to be the ancestral location for introduction of the virus into other countries in Eastern Africa (P=0.72). Salient (Bayes Factor >10) viral dispersal routes were inferred from Tanzania to Kenya, and from Kenya to Uganda for SAT1 and SAT2, respectively. Results suggest that cattle are the source of the SAT1 and SAT2 clades currently circulating in Eastern Africa. In addition, our results suggest that the majority of SAT1 and SAT2 in livestock come from other livestock rather than wildlife, with limited evidence that buffalo serve as reservoirs for cattle. Insights from the present study highlight the role of cattle movements and anthropogenic activities in shaping the evolutionary history of SAT1 and SAT2 in Eastern Africa. While the results may be affected by inherent limitations of imperfect surveillance, our analysis elucidates the dynamics between host species in this region, which is key to guiding disease intervention activities
Data from: Discrimination of hybrid classes using cross-species amplification of microsatellite loci: methodological challenges and solutions in Daphnia
Microsatellite markers are important tools in population, conservation and forensic studies and are frequently used for species delineation, the detection of hybridization and introgression. Therefore, marker sets that amplify variable DNA regions in two species are required; however, cross-species amplification is often difficult, as genotyping errors such as null alleles may occur. In order to estimate the level of potential misidentifications based on genotyping errors, we compared the occurrence of parental alleles in laboratory and natural Daphnia hybrids (Daphnia longispina group). We tested a set of twelve microsatellite loci with regard to their suitability for unambiguous species and hybrid class identification using F1 hybrids bred in the laboratory. Further, a large set of 44 natural populations of D. cucullata, D. galeata and D. longispina (1715 individuals) as well as their interspecific hybrids were genotyped to validate the discriminatory power of different marker combinations. Species delineation using microsatellite multi-locus genotypes produced reliable results for all three studied species using assignment tests. D. galeata x cucullata hybrid detection was limited due to three loci exhibiting D. cucullata specific null alleles which most likely are caused by differences in primer binding sites of parental species. Overall discriminatory power in hybrid detection was improved when a subset of markers was identified that amplifies equally well in both species.
Data from: Multiple cross-species transmission events of human adenoviruses (HAdV) during hominine evolution
Human adenoviruses (HAdV; species HAdV-A to -G) are highly prevalent in the human population, and represent an important cause of morbidity and, to a lesser extent, mortality. Recent studies have identified close relatives of these viruses in African great apes, suggesting that some HAdV may be of zoonotic origin. We analyzed more than 800 fecal samples from wild African great apes and humans to further investigate the evolutionary history and zoonotic potential of hominine HAdV. HAdV-B and -E were frequently detected in wild gorillas (55%) and chimpanzees (25%), respectively. Bayesian ancestral host reconstruction under discrete diffusion models supported a gorilla and chimpanzee origin for these viral species. Host switches were relatively rare along HAdV evolution, with about ten events recorded in 4.5 My. Despite presumably rare direct contact between sympatric populations of the two species, transmission events from gorillas to chimpanzees were observed, suggesting that habitat and dietary overlap may lead to fecal-oral cross-hominine transmission of HAdV. Finally, we determined that two independent HAdV-B transmission events to humans occurred more than 100,000 years ago. We conclude that HAdV-B circulating in humans are of zoonotic origin and have probably affected global human health for most of our species lifetime.
Data from: Evolutionary factors affecting the cross-species utility of newly developed microsatellite markers in seabirds
Microsatellite loci are ideal for testing hypotheses relating to genetic segregation at fine spatio-temporal scales. They are also conserved among closely related species, making them potentially useful for clarifying interspecific relationships between recently diverged taxa. However, mutations at primer binding sites may lead to increased nonamplification, or disruptions that may result in decreased polymorphism in nontarget species. Furthermore, high mutation rates and constraints on allele size may also with evolutionary time, promote an increase in convergently evolved allele size classes, biasing measures of interspecific genetic differentiation. Here, we used next-generation sequencing to develop microsatellite markers from a shotgun genome sequence of the sub-Antarctic seabird, the thin-billed prion (Pachyptila belcheri), that we tested for cross-species amplification in other Pachyptila and related sub-Antarctic species. We found that heterozygosity decreased and the proportion of nonamplifying loci increased with phylogenetic distance from the target species. Surprisingly, we found that species trees estimated from interspecific FST provided better approximations of mtDNA relationships among the studied species than those estimated using DC, even though FST was more affected by null alleles. We observed a significantly nonlinear second order polynomial relationship between microsatellite and mtDNA distances. We propose that the loss of linearity with increasing mtDNA distance stems from an increasing proportion of homoplastic allele size classes that are identical in state, but not identical by descent. Therefore, despite high cross-species amplification success and high polymorphism among the closely related Pachyptila species, we caution against the use of microsatellites in phylogenetic inference among distantly related taxa.
Evolutionary "crowdsourcing": alignment of fitness landscapes allows for cross-species adaptation of a horizontally transferred gene
<p>This repository accompanies the publication of <i><strong>Evolutionary "crowdsourcing": alignment of fitness landscapes allows for cross-species adaptation of a horizontally transferred gene</strong></i> by Kosterlitz et. al. This research project explores the cross-species adaptation of a horizontally transferred gene through evolutionary "crowdsourcing." The repository provides all relevant data, code, and figures associated with the publication, enabling users to replicate the results and explore the findings in-depth.</p>
Cross-species inducible systems
<p>This project includes the main characterization plasmids and application plasmids for two cross-species inducible systems: a 2,4-Diacetylphloroglucinol (DAPG)-inducible system PphlF3R1 and an anhydrotetracycline (aTc)-inducible system Ptet2R2*, which function in three model microorganisms: Escherichia coli, Bacillus subtilis, and Corynebacterium glutamicum.</p>
Files for Manuscript "A pulmonologist's guide to perform and analyse cross-species single-lung-cell transcriptomics"
<p>Input Files for Manuscript "A pulmonologist’s guide to perform and analyse cross-species single-lung-cell transcriptomic"</p> <p>See https://github.com/GenStatLeipzig/pulmonologists_interspecies_scRNA for details.</p> <p>Manuscript authored by:</p> <p>Peter Pennitz1,2*, Holger Kirsten3*, Vincent D. Friedrich3,4, Emanuel Wyler5, Cengiz Goekeri1,2,6, Benedikt Obermayer7, Gitta A. Heinz8, Mir-Farzin Mashreghi8,9, Maren Büttner10,11 Jakob Trimpert12, Markus Landthaler5,13, Norbert Suttorp2, Andreas C. Hocke1,2, Stefan Hippenstiel2, Mario Tönnies14, Markus Scholz3, Wolfgang M. Kuebler15,16, Martin Witzenrath1,2,16, Katja Hoenzke1,2 and Geraldine Nouailles1,2,# </p> <p> </p> <p>1 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Division of Pulmonary Inflammation, Berlin, Germany. </p> <p>2 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany. </p> <p>3 University of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany. </p> <p>4 Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany. </p> <p>5 Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Berlin, Germany. </p> <p>6 Cyprus International University, Faculty of Medicine, Nicosia, Cyprus. </p> <p>7 Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Unit Bioinformatics, Berlin, Germany. </p> <p>8 Deutsches Rheuma-Forschungszentrum Berlin (DRFZ), A Leibniz Institute, Therapeutic Gene Regulation, Berlin, Germany. </p> <p>9 Berlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Center for Regenerative Therapies (BCRT), Berlin, Germany. </p> <p>10 University of Bonn, Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, Bonn, Germany. </p> <p>11 Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Systems Medicine, Bonn, Germany. </p> <p>12 Freie Universität Berlin, Institute of Virology, Berlin, Germany. </p> <p>13 Humboldt-Universität zu Berlin, Institute for Biology, IRI Life Sciences, Berlin, Germany. </p> <p>14 HELIOS Clinic Emil von Behring, Department of Pneumology and Department of Thoracic Surgery, Chest Hospital Heckeshorn, Berlin, Germany. </p> <p>15 Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Physiology, Berlin, Germany. </p> <ol> <li> <p>German Center for Lung Research (DZL), Berlin, Germany. </p> </li> </ol> <p> </p> <p>* Authors contributed equally to this work </p> <p> </p> <p>References for original datasets :</p> <p>Human Charité: Hocke A, Hönzke K, Obermayer B, Baumgardt M, Wyler E, Hippenstiel S, Mache C. Charité Berlin /Berlin Institute of Health. GEO accessions GSM5958267, GSM5958272, GSM5958283, GSM5958285</p> <p>Human Travaglini et al.: published at <a href="https://www.synapse.org/">https://www.synapse.org</a> by Travaglini et al. (<a href="https://doi.org/10.1038/s41586-020-2922-4">https://doi.org/10.1038/s41586-020-2922-4</a>)</p> <p>Monkey: published at <a href="https://www.ncbi.nlm.nih.gov/geo">https://www.ncbi.nlm.nih.gov/geo</a> by Speranza et al. (<a href="https://doi.org/10.1126/scitranslmed.abe8146">https://doi.org/10.1126/scitranslmed.abe8146</a>)</p> <p>Hamster: Charité Berlin, see: <a href="https://doi.org/10.1038/s41467-021-25030-7">https://doi.org/10.1038/s41467-021-25030-7</a></p> <p>Mouse: Pennitz P, Witzenrath, M, Nouailles G, Berlin Charité.</p> <p>Rat and Pig: published at <a href="https://www.ncbi.nlm.nih.gov/geo">https://www.ncbi.nlm.nih.gov/geo</a> by Raredon et al. (<a href="https://doi.org/10.1126/sciadv.aaw3851">https://doi.org/10.1126/sciadv.aaw3851</a>) .</p> <p>Annotation: Ensembl BioMart</p>
Transcriptomic cross-species analysis of chronic liver disease reveals consistent regulation between humans and mice
<p>Data used to analyse chronic and acute liver disease in mice and human as described in <a href="https://doi.org/10.1002/hep4.1797">Holland et al. 2021</a>.</p> <p>Corresponding code is available on <a href="https://github.com/saezlab/liver-disease-atlas">GitHub</a>.</p>
Cross-species interactome analysis uncovers a conserved selective autophagy mechanism for protein quality control in plants
<p>This is all the source data associated with the manuscript which has the same title with this dataset.</p> <p>The abstract and the authors of the manuscripts are below:</p> <p><strong><span>Cross-species interactome analysis uncovers a conserved </span></strong></p> <p><strong><span>selective autophagy mechanism for protein quality control in plants</span></strong></p> <p><span> </span></p> <p><span>Víctor Sánchez de Medina Hernández<sup>1,2*</sup>, Marintia Mayola Nava García<sup>1,2*</sup>, Marion Clavel<sup>1,3</sup>, Ranjith K. Papareddy<sup>1</sup>, Veselin I. Andreev<sup>1</sup>, Varsha Mathur<sup>1</sup>, Azadeh Mohseni</span><sup><span>1,4</span></sup><span>, Marta García-León</span><sup><span>1</span></sup><span>, Peng Gao</span><sup><span>1</span></sup><span>, Juan Carlos de la Concepción</span><sup><span>1</span></sup><span>, </span><span>Lorenzo Picchianti<sup>1</sup><span>, Nenad Grujic<sup>1</sup>, Roksolana Kobylinska</span><sup>1</sup><span>, Alibek Abdrakhmanov</span><sup>1,2</sup><span>, Héloïse Duvergé</span><sup>1</sup><span>, Gaurav Anand</span><sup>5</sup><span>, Nils Leibrock</span><sup>1,4</sup><span>, Anita Bianchi</span><sup>1</sup><span>, Margot Raffeiner</span><sup>6</sup><span>, Timothy Scott Crawford<sup>7</sup>, Luca Argirò</span><sup>1</sup><span>, Mateusz Matuszkiewicz</span><sup>1,8</sup><span>, Cheuk-Ling Wun</span><sup>1</sup><span>, Jakob Valdbjørn Kanne</span><sup>9</sup><span>, Anton Meinhart</span><sup>10</sup><span>, Elisabeth Roitinger<sup>1</sup>, Isabel Bäurle<sup>7</sup>, Byung Ho Kang<sup>11</sup>, Morten Petersen</span><sup>9</sup><span>, Suayib Üstün</span><sup>6</sup><span>, Yogesh Kulathu</span><sup>5</sup><span>, Tim Clausen</span><sup>10</sup><span>, Silvia Ramundo<sup>1</sup>, Yasin Dagdas<sup>1</sup></span></span></p> <p><sup><span>1 </span></sup><span>Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna BioCenter (VBC), Vienna, Austria.</span></p> <p><sup><span>2 </span></sup><span>Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, A-1030, Vienna, Austria.</span></p> <p><sup><span>3</span></sup><span> </span><span>Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, Germany.</span></p> <p><sup><span>4</span></sup><span> Department of Applied Genetics and Cell Biology, Institute of Molecular Plant Biology, BOKU University, Vienna, Austria.</span></p> <p><sup><span>5</span></sup><span> MRC Protein Phosphorylation and Ubiquitylation Unit, University of Dundee, Dundee, UK.</span></p> <p><sup><span>6 </span></sup><span>Faculty of Biology & Biotechnology, Ruhr-University of Bochum, 44780 Bochum, Germany.</span></p> <p><sup><span>7</span></sup><span> Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.</span></p> <p><sup><span>8 </span></sup><span>Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw University of Life Sciences, Warsaw, Poland.</span></p> <p><sup><span>9 </span></sup><span>Functional Genomic Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark.</span></p> <p><sup><span>10</span></sup><span> Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.</span></p> <p><sup><span>11</span></sup><span> School of Life Sciences, Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.</span></p> <p><span> </span></p> <p><span>*These authors contributed equally to this work</span></p> <p><span> </span></p> <p><span>Correspondence: Yasin Dagdas, </span><span><a href="mailto:yasin.dagdas@gmi.oeaw.ac.at"><span>yasin.dagdas@gmi.oeaw.ac.at</span></a></span></p> <p><strong><span> </span></strong></p> <p><strong><span>Abstract</span></strong></p> <p><span>Selective autophagy is a fundamental protein quality control pathway that safeguards proteostasis by degrading damaged or surplus cellular components, particularly under stress. This process is orchestrated by selective autophagy receptors (SARs) that direct specific cargo for degradation. While significant strides have been made in understanding the molecular framework of selective autophagy, the diversity of SAR repertoires across species remain largely unexplored. Through a comparative interactome analysis across five model organisms, we identified a suite of conserved and lineage-specific SAR candidates. Among these, we validated CESAR as a conserved SAR critical for proteostasis under proteotoxic stress. CESAR specifically facilitates the degradation of hydrophobic, ubiquitinated protein aggregates and is indispensable for heat stress tolerance. Our study offers a rich resource for SAR discovery and positions CESAR as a pivotal regulator of proteostasis, with broad implications for improving stress resilience in plants.</span></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.