Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
102
datasets available to search
ShareScore release 0.9.0
Dataset results
102 results for “regional history”
Supplementary Data for Wueller et al. (2024): Geologic History of the Amundsen Crater Region Near the Lunar South Pole: Basis for Future Exploration
<p>Supplementary Data for Wueller et al. (2024): Geologic History of the Amundsen Crater Region Near the Lunar South Pole: Basis for Future Exploration</p> <p>Data contains the georeferenced map plate of our geologic map that can be used in any geoinformation system (GIS).</p> <p><strong>If you use these data, please cite BOTH the Planetary Science Journal publication and the Zenodo dataset.</strong></p> <p>Wueller, L., Iqbal, W., Frueh, T., van der Bogert, C. H., & Hiesinger, H. (2024). Geologic history of the Amundsen crater region near the Lunar South Pole: Basis for future exploration. <em>The Planetary Science Journal</em>, <em>5</em>(6), 147. <a href="https://iopscience.iop.org/article/10.3847/PSJ/ad2c04">https://iopscience.iop.org/article/10.3847/PSJ/ad2c04</a></p> <p>Wueller, L., Iqbal, W., Frueh, T., van der Bogert, C. H., & Hiesinger, H. (2024). Supplementary Data for Wueller et al. (2024): Geologic history of the Amundsen crater region near the Lunar South Pole: Basis for future exploration. <em>Zenodo Dataset</em>. <a href="https://doi.org/10.5281/zenodo.10693820" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10693820</a></p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>Mapping Scale is 1:100,000</p> <p>Print Scale is 1:1,000,000</p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>For further questions contact lwueller@uni-muenster.de</p> <p>Lukas Wueller, Institut für Planetologie, Universität Münster, Germany, June 2024</p>
Biogeographic history of a large clade of ectomycorrhizal fungi, the Russulaceae, in the Neotropics and adjacent regions
<p>## Metadata</p> <p>backbone_accessions.tsv - GenBank/INSDC accession numbers for LSU, rpb1 and rpb2 accessions used for the Russulaceae backbone tree including 472 taxa.</p> <p>ITS_sequences_OTUs.tsv - Metadata for all 34,624 ITS sequences used in the study. Columns: "accession": accession ID in analysis – GenBank/INSDC or UNITE accession number for compiled data, lab ID for newly generated data; "specimen": specimen/voucher number, for newly generated sequences; "INSDC_accession": INSDC/GenBank accession for new newly generated data; "taxon": specimen identification; "New": whether ITS sequences was generated in this study (*); "OTU": name of cluster/OTU, if not the sequence accession itself (*); "In_tree": whether sequence is represented in the Russulaceae supertree after filtering steps (*), "lb" long-branch accession removed during tree estimation, "ol" outlier removed during tree estimation; "area": biogeographic area assigned.</p> <p> </p> <p>## Sequences and alignments</p> <p>backbone_concat.fasta - Concatenated LSU-rpb1-rpb2 alignment for 372 backbone taxa.</p> <p>backbone_concat_part.txt - Gene partitions and substitution models applied to the backbone alignment.</p> <p>einsi_clade1_Russula_trimmed.fasta - Alignment of 2,279 representative ITS sequences in the Russula clade; alignment end columns with >90% missing data/gaps were trimmed.</p> <p>einsi_clade2_LactariusMultifurca_trimmed.fasta - Alignment of 621 representative ITS sequences in the Lactarius-Multifurca clade; alignment end columns with >90% missing data/gaps were trimmed.</p> <p>einsi_clade3_Lactifluus_trimmed.fasta - Alignment of 482 representative ITS sequences in the Lactifluus clade; alignment end columns with >90% missing data/gaps were trimmed.</p> <p> </p> <p>## Phylogenetic trees</p> <p>12_make_supertree.R - R script for grafting clade trees onto the backbone tree to produce a supertree.</p> <p>backbone_calibrated.nwk - Time-calibrated Russulaceae backbone phylogeny.</p> <p>backbone_TBE.raxml.support - Russulaceae backbone phylogeny annotated with transfer bootstrap expectation support values.</p> <p>clade1_Russula_TBE.raxml.support - Russula subclade ITS phylogeny (2,279 tips), annotated with transfer bootstrap expectation support values.</p> <p>clade2_LactariusMultifurca_TBE.raxml.support - Lactarius-Multifurca subclade ITS phylogeny (621 tips), annotated with transfer bootstrap expectation support values.</p> <p>clade3_Lactifluus_TBE.raxml.support - Lactifluus subclade ITS phylogeny (482 tips), annotated with transfer bootstrap expectation support values.</p> <p>supertree_calibrated.nwk - Combined Russulaceae supertree, time-calibrated (root age = 1).</p> <p>tree_calibrated_clade1_Russula.nwk - Russula subclade ITS backbone phylogeny, time-calibrated (root age = 1).</p> <p>tree_calibrated_clade2_LactariusMultifurca.nwk - Lactarius-Multifurca subclade ITS backbone phylogeny, time-calibrated (root age = 1).</p> <p>tree_calibrated_clade3_Lactifluus.nwk - Lactifluus subclade ITS backbone phylogeny, time-calibrated (root age = 1).</p> <p> </p> <p>## Biogeographic analysis</p> <p>3_disp_counts.R - R script to count dispersal events between biogeographic areas, based on stochastic mapping output.</p> <p>9_disp_count_time.R - R script to count dispersal events to and from each area through time, based on stochastic mapping output.</p> <p>area_codes.tab - Area letter coding and colours used for biogeographic analysis and plotting.</p> <p>area_shapes.zip - Shapefiles for the nine biogeographic areas defined, based on merged areas from Dinerstein et al. 2017 (https://doi.org/10.1093/biosci/bix014) and Löwenberg-Neto (2014: https://doi.org/10.11646/zootaxa.3802.2.12; 2015: https://doi.org/10.11646/10.11646/zootaxa.3985.4.9).</p> <p>areas_manually_zenodo.csv - Manual assignment of 800 ITS sequences to biogeographic areas based on associated literature records or metadata.</p> <p>corHMM_ER.Rdata - R data archive with input data and results for the corHMM/Mv biogeographic area reconstruction.<br> <br> corHMM_ER_stoch_maps.Rdata - R data archive with results from the corHMM/Mv biogeographic stochastic mapping.</p> <p>disp_counts_focal.tab - Dispersal counts to and from each focal area through time, based on BioGeoBEARS stochastic mapping output.</p> <p>disp_counts_sam_afr.tab - Dispersal counts between Afrotopics and lowland tropical S. America through time, based on BioGeoBEARS stochastic mapping output.</p> <p>disp_matrix_025.txt - Dispersal rates between biogeographic areas (2.5% quantiles), based on stochastic mapping output.</p> <p>disp_matrix_975.txt - Dispersal rates between biogeographic areas (97.5% quantiles), based on stochastic mapping output.</p> <p>disp_matrix_median.txt - Dispersal rates between biogeographic areas (median values), based on stochastic mapping output.</p> <p> </p> <p>## Diversification analysis</p> <p>5_rates_per_area.R - R script to partition diversification rates by biogeographic area, both overall and through time, based on BAMM diversification rates and area stochastic mapping.</p> <p>event_data.txt - Posterior samples of diversification rate regimes estimated with BAMM.</p> <p>div_rates_area_overall.txt - Overall diversification rates per biogeographic area, based on BAMM diversification rates and area stochastic mapping.</p> <p>div_rates_per_area_025.tsv - Diversification rates through time (2.5% quantiles) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.</p> <p>div_rates_per_area_975.tsv - Diversification rates through time (97.5% quantiles) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.</p> <p>div_rates_per_area_median.tsv - Diversification rates through time (means) partitioned by biogeographic area, based on BAMM diversification rates and area stochastic mapping.</p> <p>mcmc_out.txt - BAMM posterior sample characteristics.</p>
Supplementary Data for "The history of Cenozoic carbonate flux in the Atlantic Ocean constrained by multiple regional carbonate compensation depth reconstructions"
<p>The files on this site accompany the paper:</p> <p>Dutkiewicz, A. And Müller, R.D., in review, The history of Cenozoic carbonate flux in the Atlantic Ocean constrained by multiple regional carbonate compensation depth reconstructions, Geochemistry, Geophysics, Geosystems.</p> <p>There are two zipped file archives:</p> <p>1) backtracked_sites.zip</p> <p>This archive contains two directories of backtrack site files, one for the North Atlantic and one for the South Atlantic.</p> <p>Each directory contains a set of files listing, by site:</p> <p>age(Ma), compacted_depth (observed)(mbsf), compacted_thickness (observed)(m), decompacted_thickness(m), decompacted_density(g/cm3), water_depth(m), tectonic_subsidence (since formation of crust)(m), decompacted_depth(mbsf) dynamic_topography(m) lithology</p> <p>The lithology classification follows the lithology classes defined in Muller et al. (2018).</p> <p>A second set of files contains:</p> <p>age(Ma), depth(mbsf), paleowaterdepth(m), dry_bulk_density(g/cm3), DLSR(m/my), carbonate(weight_%) CAR(mg/cm2/kyr)</p> <p>DLSR=decompacted linear sedimentation rate<br> CAR=carbonate accumulation rate</p> <p>2) regional_Cenozoic_carbonate_thickness_grids.zip</p> <p>This archive contains 3 folders with grids for modelled Cenozoic carbonate thicknesses for the South Atlantic, central North Atlantic and northern North Atlantic. They can be viewed with netcdf viewers like panoply, or plotted using the Generic Mapping Tools. The workflow for creating these grids can be found on GitHub:</p> <p>https://github.com/EarthByte/CarbonateSedimentThickness</p> <p><br> This site also contains a spreadsheet entitled "Dutkiewicz_Muller_G3_2022_model_data_summary.xlsx"</p> <p>It contains our model outputs including regional decompacted carbonate sediment volumes and thicknesses, depositional areas, carbonate carbon fluxes and carbonate compensation depths for the northern and central North Atlantic and South Atlantic.</p> <p>A video entitled "compacted_carb_thick_atlantic_66-0Ma.mp4" shows the Cenozoic evolution of carbonate sediment thickness in the Atlantic Ocean.</p> <p><br> References:</p> <p>Spasojevic, S., & Gurnis, M. (2012). Sea level and vertical motion of continents from dynamic earth models since the Late Cretaceous. AAPG bulletin, 96(11), 2037-2064. https://doi.org/10.1306/03261211121</p> <p>Müller, R. D., Cannon, J., Williams, S. and Dutkiewicz, A., 2018, PyBacktrack 1.0: A Tool for Reconstructing Paleobathymetry on Oceanic and Continental Crust, Geochemistry, Geophysics, Geosystems, 19, 1898-1909, https://doi.org/10.1029/2017GC007313.</p> <p><br> </p>
Linked collectors and determiners for: Taxonomy and natural history of the myrmecophilous genus Clinterocera Motschulsky, 1858 (Coleoptera: Scarabaeidae: Cetoniinae) from China and adjacent regions: revision of the C. jucunda species group.
Natural history specimen data linked to collectors and determiners held within, "Taxonomy and natural history of the myrmecophilous genus Clinterocera Motschulsky, 1858 (Coleoptera: Scarabaeidae: Cetoniinae) from China and adjacent regions: revision of the C. jucunda species group". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4d438ca0-e475-456e-98a1-d45aa4dab121">https://bionomia.net/dataset/4d438ca0-e475-456e-98a1-d45aa4dab121</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4d438ca0-e475-456e-98a1-d45aa4dab121">https://gbif.org/dataset/4d438ca0-e475-456e-98a1-d45aa4dab121</a>. Formatted as a Frictionless Data package.
Figure 4 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 4. Selected species representations at WJ99. Species are sorted by those that show decline into the Holocene (blue), those whose values generally do not show particular decline or increase during the Holocene Climatic Optimum (gold), and those whose numbers appear to be affected—decline or increase—during the Holocene Climatic Optimum (red). Grey shading indicates approximate timing of peak Holocene Climatic Optimum conditions.
Figure 1 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 1. Map of SE Australian Alps and region, indicating locations of sites with faunal material mentioned in text.
Figure 3 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 3. Summary of known environmental shifts during the early to middle Holocene from SE Australia, chronologically related to notable temporal changes within (and environmental inferences from) the faunal composition of WJ99. * Approximate calibrated date ranges inferred from original uncalibrated dates.
Figure 2 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 2. Representative (east and south) sections of WJ99 Square 10B, showing locations of AMS radio-
Forest patch histories in the Chicago Region
<p>This layer used forest patch layers from three time periods: 2010 (Darling <em>et al.</em> 2023), 1939 (Fahey and Casali 2017), and 1830 (McBride and Halsey 2015) to quantify the disturbance history of forest patches. We classified patch history by assessing the overlap of current patches with the 1939 and 1830 layers. History types were defined as: remnant (forested in all three time periods), regrowth (forested in 2010 and 1830 but not 1939) and novel (currently forested but not forested in the pre-colonial era). It also differentiates between forest cores and edges, with edges being forested area that is within 15 m of the patch edge. This layer was created as part of the paper "Ecological and developmental history impacts the equitable distribution of services".</p>
The effects of land-use history and the contemporary landscape on non-native plant invasion at local and regional scales in the French Broad Watersheds, 2007
Determining what factors explain the distribution of non-native invasive plants that can spread in forest-dominated landscapes could advance understanding of the invasion process and identify forest areas most susceptible to invasion. The researchers conducted roadside surveys to determine the presence and abundance of 15 non-native plant species known to invade forests in western North Carolina, USA. Prior to sampling, the researchers identified 15 non-native invasive plant species that were of concern in the study region. Generalized linear models were used to examine how contemporary and historic land use, landscape context, and topography influenced presence and abundance of the species at local and regional scales.
Shared geographic histories and dispersal contribute to congruent phylogenies between amphipods and their microsporidian parasites at regional and global scales
<p>In parasites that strongly rely on a host for dispersal, geographic barriers that act on the host will simultaneously influence parasite distribution as well. If their association persists over macroevolutionary time it may result in congruent phylogenetic and phylogeographic patterns due to shared geographic histories. Here, we investigated the level of congruent evolutionary history at a regional and global scale in a highly specialised parasite taxon infecting hosts with limited dispersal abilities: the microsporidians <i>Dictyocoela</i> spp. and their amphipod hosts. <i>Dictyocoela</i> can be transmitted both vertically and horizontally and is the most common microsporidian genus occurring in amphipods in Eurasia. However, little is known about its distribution elsewhere. We started by conducting molecular screening to detect microsporidian parasites in endemic amphipod species in New Zealand; based on phylogenetic analyses, we identified nine species-level microsporidian taxa including six belonging to <i>Dictyocoela</i>. With a distance-based cophylogenetic analysis at the regional scale, we identified overall congruent phylogenies between <i>Paracalliope</i>, the most common New Zealand freshwater amphipod taxon, and their <i>Dictyocoela</i> parasites. Also, hosts and parasites showed similar phylogeographic patterns suggesting shared biogeographic histories. Similarly, at a global scale, phylogenies of amphipod hosts and their <i>Dictyocoela</i> parasites showed broadly congruent phylogenies. The observed patterns may have resulted from covicariance and/or codispersal, suggesting that the intimate association between amphipods and <i>Dictyocoela</i> may have persisted over macroevolutionary time. We highlight that shared biogeographic histories could play a role in the codiversification of hosts and parasites at a macroevolutionary scale.</p>
Supplementary material: One of Many: A Neolithic Settlement History of the Three Lakes Region in Western Switzerland
<p>Data and code to produce the figures of the paper "One of Many: A Neolithic Settlement History of the Three Lakes Region in Western Switzerland" by Julian Laabs. In the edited book: Heitz, C., Stapfer, R., Hinz, M. (Eds.), 2024. Aufgetau(ch)t. Archäologie zu Seeufer­­siedlungen, Eisfunden und Klimawandel. Festschrift für Albert Hafner zum 65. Geburtstag. Sidestone Press, Leiden. DOI: <a href="https://doi.org/10.59641/uu545xg">10.59641/uu545xg</a><br><br></p>
Regional thermal history trends from the Idaho-Montana fold thrust belt using multiple low-T thermochronometers
<p><span>Low-temperature thermochronometric data can reveal the long-term evolution of erosion, uplift, and thrusting in fold-thrust-belts. We present results from central-Idaho and southwestern-Montana, where the close spatial overlap of the Sevier fold-thrust-belt and Laramide-style, basement-involved foreland uplifts signify a complex region with an unresolved, long-term tectono-thermal history. Inverse QTQt thermal-history modeling of new zircon (U-Th)/He (ZHe, n=106), and apatite (U-Th)/He dates (AHe, n=43) collected from hanging walls of major thrusts systems along a central-Idaho to southwestern-Montana transect, and apatite fission track (AFT) results from 6 basement samples, reveal regional thermal and spatial trends related to Sevier and Laramide orogenesis. Inverse modeling of foreland basement uplift samples suggest Phanerozoic exhumation initiated as early as ~80 Ma and continued through the early-Paleogene. Inverse modeling of interior Idaho fold-thrust-belt ZHe samples documents mid-Cretaceous cooling at ~125 Ma in the Lost River Range (western transect), and a younger cooling episode in the Lemhi Arch region (mid-transect) from as early as ~100 Ma through the late-Paleogene. This cooling in the Lemhi Arch temporally overlaps with cooling in southwestern-Montana’s basement-cored uplifts, which we interpret as roughly synchronous exhumation related to contractional tectonics and post-orogenic collapse. These data and models, integrated with independent timing constraints from foreland basin strata and previously published thermochronometric results, suggests that mid-Cretaceous deformation of southwestern-Montana’s basement-cored uplifts was low-magnitude and preceded tectonism along the classic California-Wyoming Laramide “corridor”. In contrast, late-Cretaceous and Paleogene thrust-related exhumation was more significant and largely complete by the Eocene. The basement-involved deformation was contemporaneous with and younger than along-strike Sevier belt thrusting in</span><span> </span><span>central-Idaho. </span></p>
Host influence on life history traits of Ceratitis capitata Wiedemann in an arid region of Argentina
<pre>Data set of life history traits of Ceratitis capitata recovered from peaches, plums, and figs grown under climatic conditions of an irrigated oasis in San Juan, Argentina.</pre>
Figure 5 in Characterizing Environmental Change and Species' Histories from Stratified Faunal Records in Southeastern Australia: A Regional Review and a Case Study for the Early to Middle Holocene
Figure 5. Pollen, spore, diatom, and microcharcoal results for selected samples from WJ99.
Shared geographic histories and dispersal contribute to congruent phylogenies between amphipods and their microsporidian parasites at regional and global scales
Open the record for dataset details and reuse information.
Data from: History matters: contemporary versus historic population structure of bobcats in the New England region, USA
Open the record for dataset details and reuse information.
Data from: Tectonic evolution of the Tethyan region created the Eurasian extratropical biodiversity hotspots: tracing Pireneitega spiders' diversification history
The withdrawal of the Tethys Sea and the formation of the Alpine-Himalayan orogenic belt profoundly impacted the distribution and composition of terrestrial biota in Eurasia. However, studies that have explicitly addressed the potential links between the series of tectonic activities in the Tethyan region and the formation of extratropical biodiversity hotspots in the Alpine-Himalayan belt are rare. The Pireneitega spiders (Agelenidae) are found throughout Eurasia and show high species richness in these hotspots. Thus, using Pireneitega spiders as a model group, we can shed light on how past tectonic events shaped Eurasian hotspots. To reconstruct the spatial and temporal evolution of Pireneitega spp., an integrative historical biogeographical analysis has been conducted using thousands of novel DNA sequences and five novel transcriptome sequences from different species. Species distribution modelling based on complete geographical distribution information was used to assess the ecological preferences and the potential ecological interchangeability of Pireneitega species. Our study suggests that the rapid expansion of Pireneitega in Eurasia benefitted from the Tethys Sea regression in the early Oligocene. Most Pireneitega species are distributed allopatrically, but in similar niches. The diversification of Pireneitega species relied on invading numerous new isolated habitats created by the uplift of Alpine-Himalayan mountains during the Miocene (wet valley model). These results imply that the formation of Alpine-Himalayan hotspots was driven by the series of tectonic events in the Tethyan region during the Oligocene–Miocene.
Life history genomic regions explain differences in Atlantic salmon marine diet specialization
<p>Abstract</p> <p>1. Animals employ various foraging strategies along their ontogeny to acquire energy, and with varying degree of efficiencies, to support growth, maturation and subsequent reproduction events. Individuals that can efficiently acquire energy early are more likely to mature at an earlier age, as a result of faster energy gain which can fuel maturation and reproduction.</p> <p>2. We aimed to test the hypothesis that heritable resource acquisition variation that co-varies with efficiency along the ontogeny would influence maturation timing of individuals.</p> <p>3. To test this hypothesis, we utilized Atlantic salmon as a model which exhibit a simple, hence trackable, genetic control of maturation age. We then monitored the variation in diet acquisition (quantified as stomach fullness and composition) of individuals with different ages, and linked it with genomic regions (haploblocks) that were previously identified to be associated with age-at-maturity.</p> <p>4. Consistent with the hypothesis, we demonstrated that one of the life history genomic regions tested six(6) was indeed associated with age-dependent differences in stomach fullness. Prey composition was marginally linked to six(6), and suggestively (but non-significantly) to vgll3 genomic regions. We further showed Atlantic salmon switched to the so-called "feast and famine" strategy along the ontogeny, where older age groups exhibited heavier stomach content, but that came at the expense of running on empty more often.</p> <p>5. These results suggest genetic variation underlying resource utilization may explain the genetic basis of age structure in Atlantic salmon. Given that ontogenetic diet has a genetic component and the strong spatial diversity associated with these genomic regions, we predict populations with diverse maturation age will have diverse evolutionary responses to future changes in marine food-web structures. 28-Jul-2020</p>
Data from: Retroposed elements and their flanking regions resolve the evolutionary history of xenarthran mammals (armadillos, anteaters, and sloths)
Armadillos, anteaters, and sloths (Order Xenarthra) comprise 1 of the 4 major clades of placental mammals. Isolated in South America from the other continental landmasses, xenarthrans diverged over a period of about 65 Myr, leaving more than 200 extinct genera and only 31 living species. The presence of both ancestral and highly derived anatomical features has made morphoanatomical analyses of the xenarthran evolutionary history difficult, and previous molecular analyses failed to resolve the relationships within armadillo subfamilies. We investigated the presence/absence patterns of retroposons from ∼7,400 genomic loci, identifying 35 phylogenetically informative elements and an additional 39 informative rare genomic changes (RGCs). DAS-short interspersed elements (SINEs), previously described only in the Dasypus novemcinctus genome, were found in all living armadillo genera, including the previously unsampled Chlamyphorus, but were noticeably absent in sloths. The presence/absence patterns of the phylogenetically informative retroposed elements and other RGCs were then compared with data from the DNA sequences of the more than 12-kb flanking regions of these retroposons. Together, these data provide the first fully resolved genus tree of xenarthrans. Interestingly, multiple evidence supports the grouping of Chaetophractus and Zaedyus as a sister group to Euphractus within Euphractinae, an association that was not previously demonstrated. Also, flanking sequence analyses favor a close phylogenetic relationship between Cabassous and Tolypeutes within Tolypeutinae. Finally, the phylogenetic position of the subfamily Chlamyphorinae is resolved by the noncoding sequence data set as the sister group of Tolypeutinae. The data provide a stable phylogenetic framework for further evolutionary investigations of xenarthrans and important information for defining conservation priorities to save the diversity of one of the most curious groups of mammals.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.