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.
476
datasets available to search
ShareScore release 0.9.0
Dataset results
476 results for “footprints”
Data from: Molecular footprints of the Holocene retreat of dwarf birch in Britain
Past reproductive interactions among incompletely isolated species may leave behind a trail of introgressed alleles, shedding light on historical range movements. Betula pubescens is a widespread native tetraploid tree species in Britain, occupying habitats intermediate to those of its native diploid relatives, B. pendula and B. nana. Genotyping 1134 trees from the three species at 12 microsatellite loci we found evidence of introgression from both diploid species into B. pubescens, despite the ploidy difference. Surprisingly, introgression from B. nana, a dwarf species whose present range is highly restricted in northern, high-altitude peat bogs, was greater than introgression from B. pendula, which is morphologically similar to B. pubescens and has a substantially overlapping range. A cline of introgression from B. nana was found extending into B. pubescens populations far to the south of the current B. nana range. We suggest that this genetic pattern is a footprint of a historical decline and/or northwards shift in the range of B. nana populations due to climate warming in the Holocene. This is consistent with pollen records that show a broader, more southerly distribution of B. nana in the past. Ecological niche modelling predicts that B. nana is adapted to a larger range than it currently occupies, suggesting additional factors such as grazing and hybridisation may have exacerbated its decline. We found very little introgression between B. nana and B. pendula, despite both being diploid, perhaps because their distributions in the past have rarely overlapped. Future conservation of B. nana may partly depend on minimisation of hybridisation with B. pubescens, and avoidance of planting B. pendula near B. nana populations.
Data from: Shape variability in tridactyl dinosaur footprints: the significance of size and function
The functional anatomy of the hindlimb of bipedal dinosaurs has been intensively studied. Yet, surprisingly little work has been done concerning functional adaptations in the digits for terrestrial locomotion. While complete and articulated pes skeletons are scarce, pes shape is abundantly recorded by fossil footprints. Here we aim to elucidate the significance of footprint shape and size for locomotion using a large sample (n = 303) of tridactyl dinosaur footprints from a broad range of geographic localities and time slots. Size and shape variation is characterised separately for theropods and ornithischians, the two principal trackmaker taxa. At smaller sizes, theropod footprints are best discriminated from ornithischian footprints based on their smaller interdigital angle and larger projection of digit III, while at larger sizes digital widths are effective discriminants. Ornithischian footprints are shown to increase in size from the Early Jurassic to the Late Cretaceous, a trend not observed in theropod footprints. Size and function are argued to be important determinants of footprint shape, and an attempt made to infer function from shape. Digit III projection and length-to-width ratio of the footprints are negatively correlated with size in both trackmaker groups, while digit impression widths are positively correlated with size only in ornithischians. Digit III projection is proposed to be positively correlated with cursorial ability. Increased interdigital angles are associated with a decrease in digital widths, possibly representing an adaptation for stability. Footprints are found to yield great unrecognised potential for the understanding of the functional morphology of dinosaur feet.
Data from: Identifying footprints of selection in stocked brown trout populations: a spatio-temporal approach
Studies of interactions between farmed and wild salmonid fishes have suggested reduced fitness of farmed strains in the wild, but evidence for selection at the genic level is lacking. We studied three brown trout populations in Denmark which have been significantly admixed with stocked hatchery trout (19 to 64%), along with two hatchery strains used for stocking. The wild populations were represented by contemporary samples (2000-2006) and two of them by historical samples (1943-1956). We analyzed 61 microsatellite loci, nine of which showed putative functional relationships (EST-linked or quantitative trait loci). FST based outlier tests provided support for diversifying selection at chromosome regions marked by three loci, two anonymous and one EST-linked. Patterns of differentiation suggested that the loci were candidates for being under diversifying hitch-hiking selection in hatchery versus wild environments. Analysis of hatchery strain admixture proportions showed that in one wild population, two of the loci showed significantly lower admixture proportions than the putatively neutral loci, implying contemporary selection against alleles introduced by hatchery strain trout. In the most strongly admixed population, however, there was no evidence for selection, possibly due to immigration by stocked trout overcoming selection against hatchery-derived alleles or supportive breeding practices allowing hatchery strain trout to escape natural selection. To our knowledge, this is the first study demonstrating footprints of selection in wild salmonid populations subject to spawning intrusion by farmed fish.
Data from: Footprints of adaptive evolution revealed by whole Z chromosomes haplotypes in flycatchers
Detecting positive selection using genomic data is critical to understanding the role of adaptive evolution. Of particular interest in this context is sex chromosomes since they are thought to play a special role in local adaptation and speciation. We sought to circumvent the challenges associated with statistical phasing when using haplotype-based statistics in sweep scans by benefitting from that whole-chromosome haplotypes of the sex chromosomes can be obtained by re-sequencing of individuals of the hemizygous sex. We analyzed whole Z chromosome haplotypes from 100 females from several populations of four black and white flycatcher species (in birds, females are ZW and males ZZ). Based on integrated haplotype score (iHS) and number of segregating sites by length (nSL) statistics, we found strong and frequent haplotype structure in several regions of the Z chromosome in each species. Most of these sweep signalswere population-specific, with essentially no evidence for regions under selection shared among species. Some completed sweeps were revealed by the cross-population extended haplotype homozygosity (XP-EHH) statistic. Importantly, by using statistically phased Z chromosome data from re-sequencing of males, we failed to recover the signals of selection detected in analyses based on whole-chromosome haplotypes from females; instead, what likely represent false signals of selection were frequently seen. This highlights the power issues in statistical phasing and cautions against conclusions from selection scans using such data. The detection of frequent selective sweeps on the avian Z chromosome supports a large role of sex chromosomes in adaptive evolution.
Data from: Biological traits, phylogeny and human footprint signatures on the geographic range size of passerines (Order Passeriformes) worldwide
Aim Multiple hypotheses exist to explain the astonishing geographic range size variation across species, but these have rarely been tested under a unifying framework that simultaneously considers direct and indirect effects of ecological niche processes and evolutionary dynamics. Here, we jointly evaluate ecological and evolutionary hypotheses that may account for global interspecific patterns of range size in the most species-rich avian order: Passeriformes (perching birds). Location Global Time period CurrentMajor taxa studied Order Passeriformes Methods We used phylogenetic path analysis to test for the relationship between eight variables and range size. Our list of predictors included a set of niche-related variables (both Grinellian and Eltonian), species-specific morphological and life-history traits (body size, dispersal ability, fertility), extrinsic (human footprint) and evolutionary factors (time since divergence from the closest extant relative). Results We found that Grinellian (climatic) and Eltonian (trophic) niche breadth are critical to account for the observed patterns, followed by reproductive effort (as measured by clutch size). We also found a negative relationship between native range size and human footprint. The significant and positive relationship between niche breadth, either Grinnellian or Eltonian, and range size was consistent across all species, irrespective of their migratory/resident status or taxonomic grouping (Passeri vs. Tyranni). Main conclusions Globally, the range sizes of passerine species are associated with the Grinellian niche so that species with broader environmental tolerances exhibit larger geographic ranges. These findings give further empirical support to the positive niche breadth-range size relationship as a general pattern in ecology.
Data from: Genomic footprints of speciation in Atlantic eels (Anguilla anguilla and A. rostrata)
The importance of speciation-with-gene-flow scenarios is increasingly appreciated. However, the specific processes and the resulting genomic footprints of selection are subject to much discussion. We studied the genomics of speciation between the two panmictic, sympatrically spawning sister-species; European (Anguilla anguilla) and American eel (A. rostrata). Divergence is assumed to have initiated more than 3 million years ago, and although low gene flow still occurs strong postzygotic barriers are present. Restriction-site Associated DNA (RAD) sequencing identified 328,300 SNPs for subsequent analysis. However, despite the presence of 3,757 strongly differentiated SNPs (FST > 0.8), sliding window analyses of FST showed no larger genomic regions (i.e. hundreds of thousands to millions of bases) of elevated differentiation. Overall FST was 0.041 and linkage disequilibrium was virtually absent for SNPs separated by more than 1000 bp. We suggest this to reflect a case of genomic hitchhiking, where multiple regions are under directional selection between the species. However, low but biologically significant gene flow and high effective population sizes leading to very low genetic drift preclude accumulation of strong background differentiation. Genes containing candidate SNPs for positive selection showed significant enrichment for gene ontology (GO) terms relating to developmental processes and phosphorylation, which seems consistent with assumptions that differences in larval phase duration and migratory distances underlie speciation. Most SNPs under putative selection were found outside coding regions, lending support to emerging views that non-coding regions may be more functionally important than previously assumed. In total, the results demonstrate the necessity of interpreting genomic footprints of selection in the context of demographic parameters and life-history features of the studied species.
Data from: Population genomic footprints of fine-scale differentiation between habitats in Mediterranean blue tits
Linking population genetic variation to the spatial heterogeneity of the environment is of fundamental interest to evolutionary biology and ecology, in particular when phenotypic differences between populations are observed at biologically small spatial scales. Here, we applied restriction-site associated DNA sequencing (RAD-Seq) to test whether phenotypically differentiated populations of wild blue tits (Cyanistes caeruleus) breeding in a highly heterogeneous environment exhibit genetic structure related to habitat type. Using 12106 SNPs in 197 individuals from deciduous and evergreen oak woodlands, we applied complementary population genomic analyses, which revealed that genetic variation is influenced by both geographical distance and habitat type. A fine-scale genetic differentiation supported by genome- and transcriptome-wide analyses was found within Corsica, between two adjacent habitats where blue tits exhibit marked differences in breeding time while nesting less than 6 km apart. Using redundancy analysis (RDA), we show that genomic variation remains associated with habitat type when controlling for spatial and temporal effects. Finally, our results suggest that the observed patterns of genomic differentiation were not driven by a small proportion of highly differentiated loci, but rather emerged through a process such as habitat choice, which reduces gene flow between habitats across the entire genome. The pattern of genomic isolation-by-environment closely matches differentiation observed at the phenotypic level, thereby offering significant potential for future inference of phenotype-genotype associations in a heterogeneous environment.
Data from: Footprints of selection in wild populations of Bicyclus anynana along a latitudinal cline
One of the major questions in ecology and evolutionary biology is how variation in the genome enables species to adapt to divergent environments. Here, we study footprints of thermal selection in candidate genes in six wild populations of the afrotropical butterfly Bicyclus anynana, sampled along a ~3,000 km latitudinal cline. We sequenced coding regions of 31 selected genes with known functions in metabolism, pigment production, development, and heat shock responses. These include genes for which we expect a priori a role in thermal adaptation and, thus, varying selection pressures along a latitudinal cline, and genes we do not expect to vary clinally and can be used as controls. We identified amino-acid substitution polymorphisms in 13 genes and tested these for clinal variation by correlation analysis of allele frequencies with latitude. In addition, we used two FST-based outlier methods to identify loci with higher population differentiation than expected under neutral evolution, while accounting for potentially confounding effects of population structure and demographic history. Two metabolic enzymes of the glycolytic pathway, UGP and Treh, showed clinal variation. The same loci showed elevated population differentiation and were identified as significant outliers. We found no evidence of clines in the pigmentation genes, heat shock proteins and developmental genes. However, we identified outlier loci in more localized parts of the range in the pigmentation genes yellow and black. We discuss that the observed clinal variation and elevated population divergence in UGP and Treh may reflect adaptation to a geographic thermal gradient.
Data from: High resolution spatial mapping of human footprint across Antarctica and its implications for the strategic conservation of avifauna
Human footprint models allow visualization of human spatial pressure across the globe. Up until now, Antarctica has been omitted from global footprint models, due possibly to the lack of a permanent human population and poor accessibility to necessary datasets. Yet Antarctic ecosystems face increasing cumulative impacts from the expanding tourism industry and national Antarctic operator activities, the management of which could be improved with footprint assessment tools. Moreover, Antarctic ecosystem dynamics could be modelled to incorporate human drivers. Here we present the first model of estimated human footprint across predominantly ice-free areas of Antarctica. To facilitate integration into global models, the Antarctic model was created using methodologies applied elsewhere with land use, density and accessibility features incorporated. Results showed that human pressure is clustered predominantly in the Antarctic Peninsula, southern Victoria Land and several areas of East Antarctica. To demonstrate the practical application of the footprint model, it was used to investigate the potential threat to Antarctica's avifauna by local human activities. Relative footprint values were recorded for all 204 of Antarctica's Important Bird Areas (IBAs) identified by BirdLife International and the Scientific Committee on Antarctic Research (SCAR). Results indicated that formal protection of avifauna under the Antarctic Treaty System has been unsystematic and is lacking for penguin and flying bird species in some of the IBAs most vulnerable to human activity and impact. More generally, it is hoped that use of this human footprint model may help Antarctic Treaty Consultative Meeting policy makers in their decision making concerning avifauna protection and other issues including cumulative impacts, environmental monitoring, non-native species and terrestrial area protection.
Data from: Genomic and geographic footprints of differential introgression between two divergent fish species (Solea spp.)
Investigating variation in gene flow across the genome between closely related species is important to understand how reproductive barriers shape genome divergence before speciation is complete. An efficient way to characterize differential gene flow is to study how the genetic interactions that take place in hybrid zones selectively filter gene exchange between species, leading to heterogeneous genome divergence. In the present study, genome-wide divergence and introgression patterns were investigated between two sole species, Solea senegalensis and Solea aegyptiaca, using restriction-associated DNA sequencing (RAD-Seq) to analyse samples taken from a transect spanning the hybrid zone. An integrative approach combining geographic and genomic clines methods with an analysis of individual locus introgression accounting for the demographic history of divergence was conducted. Our results showed that the two sole species have come into secondary contact postglacially, after experiencing a prolonged period (ca. 1.1 to 1.8 Myrs) of allopatric separation. Secondary contact resulted in the formation of a tension zone characterized by strong reproductive isolation, allowing introgression in only a minor fraction of the genome. We found multiple evidence for a preferential direction of introgression in the S. aegyptiaca genetic background, indicating a possible recent or ongoing movement of the hybrid zone. Deviant introgression signals found in the opposite direction suggested that S. senegalensis could have possibly undergone adaptive introgression that has not yet spread throughout the entire species range. Our study thus illustrates the varied outcomes of genetic interactions between divergent gene pools that recently met after a long history of divergence.
Data from: Genetic footprints of adaptive divergence in the bracovirus of Cotesia sesamiae identified by targeted resequencing
The African parasitoid wasp Cotesia sesamiae is structured in contrasted populations showing differences in host range and the recent discovery of a specialist related species, C. typhae, provide a good framework to study the mechanisms that link the parasitoid and their host range. To investigate the genomic bases of divergence between these populations, we used a targeted sequencing approach on 24 samples. We targeted a specific genomic region encoding the bracovirus, which is deeply involved in the interaction with the host. High sequencing coverage was obtained for all samples allowing the study of genetic variations between wasp populations and species. Combining population genetic estimations, the diversity (π), the relative differentiation (FST) and the absolute differentiation (dxy), and branch-site dN/dS measures, we identified six divergent genes impacted by positive selection belonging to different gene families. These genes are potentially involved in host adaptation and in the specialization process. Fine scale analyses of the genetic variations also revealed deleterious mutations and large deletions on certain genes inducing pseudogenization and loss of function. These results highlight the crucial role of the bracovirus in the molecular interactions between the wasp and its hosts and in the evolutionary processes of specialization.
Data from: Pinus ponderosa alters nitrogen dynamics and diminishes the climate footprint in natural ecosystems of Patagonia
1. Evaluating climate effects on plant-soil interactions in terrestrial ecosystems remains challenging due to the fact that floristic composition co-varies with climate, particularly along rainfall gradients. It is difficult to separate effects of precipitation per se from those mediated indirectly through changes in species composition. As such, afforestation (the intentional planting of woody species) in terrestrial ecosystems provides an ecological opportunity to assess the relative importance of climate and vegetation controls on ecosystem processes. 2. We investigated the impacts of 35 years of afforestation on ecosystem N dynamics, in ecosystems ranging from arid shrub-steppe to closed-canopy forest in Patagonia, Argentina. Site of natural vegetation and adjacent sites planted with a single exotic species, Pinus ponderosa, were identified in five precipitation regimes along a continuous gradient of 250 to 2200 mm mean annual precipitation (MAP). We evaluated C and N parameters of vegetation and soil, as well as natural abundance of 13C and 15N, in leaves, roots, ectomycorrhizae (EcM), and soils. 3. In natural vegetation, most leaf traits (%N, C:N ratios, leaf mass per area, δ15N values) demonstrated strong significant relationships with MAP, while these relationships were nearly absent in afforested sites. In addition, the EcM of native southern beech and pine trees were significantly enriched in 15N relative to leaves at all sites where they were present. While soil C and N pools in both vegetation types increased with MAP, overall pool sizes were significantly reduced in afforested sites. 4. Synthesis Observed relationships between leaf traits and precipitation in natural vegetation may be driven largely by shifts in species composition and plant-soil interactions, rather than direct effects of precipitation. Our results suggest that a change in species composition of the dominant vegetation is sufficient to alter C and N cycling independently of climate constraints: pine afforestation homogenized N dynamics across sites spanning an order of magnitude of MAP. These results highlight the important control of ectomycorrhizal associations in affecting C and N dynamics. Additionally, it serves to demonstrate that altering natural species composition alone is sufficient to cause large, detectable impacts on N turnover independently of direct climate effects.
Data from: Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps
Natural genetic variation is essential for the adaptation of organisms to their local environment and to changing environmental conditions. Here we examine genome-wide patterns of nucleotide variation in natural populations of the outcrossing herb Arabidopsis halleri and associations with climatic variation among populations in the Alps. Using a pooled population sequencing (Pool-Seq) approach, we discovered more than two million SNPs in five natural populations and identified highly differentiated genomic regions and SNPs using FST–based analyses. We tested only the most strongly differentiated SNPs for associations with a non-redundant set of environmental factors using partial Mantel tests to identify topo-climatic factors that may underlie the observed footprints of selection. Possible functions of genes showing signatures of selection were identified by Gene Ontology analysis. We found 175 genes to be highly associated with one or more of the five tested topo-climatic factors. Of these, 23.4% had unknown functions. Genetic variation in four candidate genes was strongly associated with site water balance and solar radiation, and functional annotations were congruent with these environmental factors. Our results provide a genome-wide perspective on the distribution of adaptive genetic variation in natural plant populations from a highly diverse and heterogeneous alpine environment.
Data from: Laetoli footprints reveal bipedal gait biomechanics different from those of modern humans and chimpanzees
Bipedalism is a key adaptation that shaped human evolution, yet the timing and nature of its evolution remain unclear. Here we use new experimentally based approaches to investigate the locomotor mechanics preserved by the famous Pliocene hominin footprints from Laetoli, Tanzania. We conducted footprint formation experiments with habitually barefoot humans and with chimpanzees to quantitatively compare their footprints to those preserved at Laetoli. Our results show that the Laetoli footprints are morphologically distinct from those of both chimpanzees and habitually barefoot modern humans. By analysing biomechanical data that were collected during the human experiments we, for the first time, directly link differences between the Laetoli and modern human footprints to specific biomechanical variables. We find that the Laetoli hominin probably used a more flexed limb posture at foot strike than modern humans when walking bipedally. The Laetoli footprints provide a clear snapshot of an early hominin bipedal gait that probably involved a limb posture that was slightly but significantly different from our own, and these data support the hypothesis that important evolutionary changes to hominin bipedalism occurred within the past 3.66 Myr.
Footprint - Cheirotherium
# SHCMS:G.03853 **Cheirotherium footprint** Fossilised footprint of the Triassic reptile Cheirotherium. Found at Grinshill, Shropshire. Age: approx 225 million years. Length 15cm Width 15cm Depth 2.5cm. Imaged using an Artec spider scanner and processed using Artec studio 12. If you like this model or any others we produce we'd love to hear from you and how you've used them. Source: Objaverse 1.0 / Sketchfab
A revision of tetrapod footprints from the late Carboniferous of the West Midlands, UK
<p>This dataset contains data supporting the manuscript 'A revision of tetrapod footprints from the late Carboniferous of the West Midlands, UK', currently in review at PeerJ. The zip folder contains 17 subfolders, each corresponding to a sandstone slab from Hamstead, Birmingham, West Midlands examined in the study. Subfolders are labelled with the slab numbers using the system of RAW and BIRUG numbers described in the manuscript. Within each subfolder there are several distinct file types:</p> <ul> <li>Photogrammetric models, as a "model.ply" file and a "model.jpg" texture file. The models can be opened using free software such as Meshlab, and the .ply and .jpg files need to be in the same folder for the textured model to open correctly. </li> <li>One or more photographs labelled as "details.jpg". These photographs show the specimen labels associated with each of the slabs. Note that taxonomic IDs used on these historical specimen labels may differ from those used in the manuscript. </li> <li>Two files created using CloudCompare 2.7 that show the surfaces of the slabs as digital 3D reliefs with coloured contour intervals ("topology.jpg"), and also reliefs with steep gradients brightly highlighted ("gradient.jpg").</li> </ul>
BIRUG107071 - Grallator sp. - Theropod Footprint
BIRUG107071 is a trace fossil of a theropod dinosaur. While the animal that made the footprint is unknown, trace fossils (ichnofossils) do receive similar nomenclature to organisms. This ichnofossil is *Grallator* sp. and only the ichnogenus has been determined, while the ichnospecies name has yet to be defined. Fossil footprints from dinosaurs, such as this one, better our understandings of dinosaurs and the animals that left these fossils behind. Although this is a single fossil it can tell palaeontologists where most of the force was applied when the track-maker took a step, which can help determine how they walked. If multiple tracks of the same animal are found, the gait, speed, and other behaviors can be determined. This specimen was collected from Burniston Wyke, North Yorkshire, England. This specimen was digitized with photogrammetry by Andy Jones, description by Jonathan Kimel. Source: Objaverse 1.0 / Sketchfab
Climate footprint of industry-sponsored clinical research: An analysis of a phase-1 randomized clinical study and discussion of opportunities to reduce its impact
<p>Objective: To calculate the global warming potential, in carbon dioxide (CO<sub>2</sub>) equivalent emissions, from a phase-1 clinical study Design: Retrospective analysis. Data source: Internal data held by Janssen Pharmaceuticals Studies included: Janssen-sponsored TMC114FD1HTX1002 study conducted between 2019-2021 Main outcome: measure CO<sub>2</sub> equivalents for trial activities calculated according to IPCC 2021 impact assessment methodology Results: The CO2-eq emissions generated by the trial was 17.65 tonnes. This is equivalent to the emissions generated by driving the average petrol-fueled family car 71,004km or roughly 1.8 times around the circumference of the Earth. Commuting to the clinical site by the study patients generated the most emissions (5,419kg, 31% of overall emissions), followed by trial site utilities (2,725kg, 16% of overall emissions), and Janssen site staff travel (2,560kg, 15% of overall emissions). In total, the movement of people (patient travel, Janssen site staff travel, and trial site staff travel) accounted for 8,914kg or 51% of overall trial emissions. Conclusions: Opportunities exist to reduce many of the largest contributors to the clinical trial's CO<sub>2</sub>-eq emissions. The largest contributor was patient travel (31%) and combined with sponsor (15%) and site staff (5%) travel, the movement of people was responsible for 51% of CO<sub>2</sub>-eq emissions. Decentralized trial models which seek to bring clinical trial operations closer to the patient offer opportunities to reduce patient travel. The electrification of sponsor vehicle fleets and society's transition towards electric vehicles may result in further reductions.</p>
Observation Database for Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system
<p>Basic matplotlib visualization for observational databases.<br>Archive files, readme, and visualisation script are attached.</p> <p>The python script visualizes the statistics related to observation <br>minus background departures for AMSU-A and MHS sensors using<br>the default and footprint observation operators in the AROME-Arctic data assimilation system.</p> <p>The corresponding preprint:<br>gmd-2023-195 | Submitted 02 Oct 2023 | Development and technical paper<br>Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system<br>Máté Mile, Stephanie Guedj, and Roger Randriamampianina </p>
HANZE catalogue of modelled flood footprints in Europe, 1950-2020
<p>The dataset covers potential modelled riverine, coastal and compound floods that have occurred in 42 European countries. Nearly 15,000 modelled floods with a potential to cause significant impacts, classified by actual historical occurrence or non-occurrence impacts (1950-2020).</p> <p>This dataset contains the modelled flood footprints as vector files per event. The tabular data and supplementary information is available in another Zenodo repository (https://dx.doi.org/10.5281/zenodo.10629443). </p> <p>The naming of the files is according to the following scheme:</p> <p>Event_M_C_Y_T.*</p> <p>where:</p> <p>M is the unique event identifier</p> <p>C is the two-letter country code</p> <p>Y is the year when the event began</p> <p>T is the type of event</p> <p> </p> <p>Note: this version of the dataset includes coastal events mistakenly omitted from the original upload</p>
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.