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.
89
datasets available to search
ShareScore release 0.7.1
Dataset results
89 results for “terrestrial vertebrates”
A global ecological signal of extinction risk in terrestrial vertebrates
Open the record for dataset details and reuse information.
Data from: Debugging diversity – a pan‐continental exploration of the potential of terrestrial blood‐feeding leeches as a vertebrate monitoring tool
Open the record for dataset details and reuse information.
Shared patterns of spatial accumulation of lineages across terrestrial vertebrates
Open the record for dataset details and reuse information.
Data from: The fragmentation of Pangaea and Mesozoic terrestrial vertebrate biodiversity
Open the record for dataset details and reuse information.
Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests
Open the record for dataset details and reuse information.
Data from: Habitat preference modulates trans-oceanic dispersal in a terrestrial vertebrate
Open the record for dataset details and reuse information.
Data from: The future of invasive terrestrial vertebrates in Europe under climate and land-use change
Open the record for dataset details and reuse information.
Data and R code from: Rethinking global hotspots for threatened terrestrial vertebrates
Open the record for dataset details and reuse information.
Data from: Post Permo-Triassic terrestrial vertebrate recovery southwestern United States
Open the record for dataset details and reuse information.
Increased importance of terrestrial vertebrate seed dispersal in tropical logged forests
<b>Description: </b><p>A large seed dispersal experiement combining seed tracking and camera trapping at ten forest sites along a wide gradient of historical logging disturbance with AGB ranging between 4.7 and 614.0 Mg ha-1, all part of the established SAFE mammal survey network. Each experiment was run for a consecutive five days using experimental seeds with different hardness (fleshy vs hard) and size (large vs small). Each seed was tracked with a spool.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/177"><b>Resilience of Tropical Forest Ecosystem Processes to the Interactive Effects of El Nino and Forest Disturbance</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Natural Environment Research Council (Directed grant, NE/P00363X/1, <a href="https://gtr.ukri.org/projects?ref=NE%2FP00363X%2F1">https://gtr.ukri.org/projects?ref=NE%2FP00363X%2F1</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3901735">here</a></p><p><b>Files: </b>This consists of 1 file: template_seed_experiment_LanQieJan9_v2.xlsx</p><p><b>template_seed_experiment_LanQieJan9_v2.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Seed fate</b> (described in worksheet Seed fate)</p><p>Description: seed fate and removal distance of 12000 experimental seeds of different treatments at all sites</p><p>Number of fields: 14</p><p>Number of data rows: 12000</p><p>Fields: </p><ul><li><b>seed.id</b>: Seed ID (Field type: id)</li><li><b>Grid</b>: Experimental site ID, with the same Grid identifier used in the core SAFE project small mammal trapping work -- see SAFE dataset 256 "CORE SAFE PROJECT SMALL MAMMAL TRAPPING DATA" (Field type: id)</li><li><b>Point</b>: experimental points, selected from the camera trap points in SAFE gazetteer (Field type: location)</li><li><b>Day</b>: The day of the seed outcome. Each experimental point was set up on Day 1 and checked on Day 2-6. This numeric variable is used for temporal analysis. For treating Day as a random effect, an additional "date" label can be created by pasting Grid and Day. (Field type: numeric)</li><li><b>type</b>: Experiment seed type. OP = oil palm fruit, PK1 = single pumpkin seed, PK10 = pumpkin seed cluster of 10, PK20 = pumpkin seed cluster of 20, PT = pistachio nut. For analysis, these were classified as fleshy (OP) vs hard (other seeds), and large (> 10 g; OP, PK10, PK20) vs small (< 10 g; PT, PK1). (Field type: categorical)</li><li><b>trmt</b>: Experiment treatment. Control = seeds accessible by all animals, Cage = exclosure cage treatment with 10x10cm entrances where large vertebrates were excluded (Field type: categorical)</li><li><b>Distance</b>: Seed removal distance (Field type: numeric)</li><li><b>Bearing</b>: Compass bearing of the removed seed from experimental point (Field type: numeric)</li><li><b>Location</b>: Location of removed seed. Free text can be grouped into categories for analysis. (Field type: comments)</li><li><b>fate</b>: Seed fate. Untouched = intact and not moved. Uneaten = removed but uneaten (dispersed). Eaten = eaten or partially eaten. Unknown = seed dragged into burrows, nests or up trees with seed fate unknown, presumed eaten in analsysis to be conservative about seed dispersal (Field type: categorical)</li><li><b>Day.3</b>: Fate of dispersed seeds on subsequent days, Day.3 - Day.6, where applicable, e.g. a seed dispersed on Day 4 would only be monitored on Day 5 and Day 6. Also, not all dispersed seeds could be practically monitored. (Field type: categorical)</li><li><b>Day.4</b>: Fate of dispersed seeds on subsequent days, Day.3 - Day.6, where applicable, e.g. a seed dispersed on Day 4 would only be monitored on Day 5 and Day 6. Also, not all dispersed seeds could be practically monitored. (Field type: categorical)</li><li><b>Day.5</b>: Fate of dispersed seeds on subsequent days, Day.3 - Day.6, where applicable, e.g. a seed dispersed on Day 4 would only be monitored on Day 5 and Day 6. Also, not all dispersed seeds could be practically monitored. (Field type: categorical)</li><li><b>Day.6</b>: Fate of dispersed seeds on subsequent days, Day.3 - Day.6, where applicable, e.g. a seed dispersed on Day 4 would only be monitored on Day 5 and Day 6. Also, not all dispersed seeds could be practically monitored. (Field type: categorical)</li></ul></li><li><p><b>Camera trap records</b> (described in worksheet Camera trap records)</p><p>Description: For each visit to seed experiment by animals recorded by camera traps, we recorded the functional group (large vertebrate or small vertebrate) and seed activity (eating or moving)</p><p>Number of fields: 12</p><p>Number of data rows: 2594</p><p>Fields: </p><ul><li><b>Grid</b>: Experimental site ID, with the same Grid identifier used in the core SAFE project small mammal trapping work -- see SAFE dataset 256 "CORE SAFE PROJECT SMALL MAMMAL TRAPPING DATA" (Field type: id)</li><li><b>Point</b>: experimental points, selected from the camera trap points in SAFE gazetteer (Field type: location)</li><li><b>Day</b>: The day of the camera trap record. Each experimental point was set up on Day 1 and checked on Day 2-6. This numeric variable is used for temporal analysis. For treating Day as a random effect, an additional "date" label can be created by pasting Grid and Day. (Field type: numeric)</li><li><b>trmt</b>: Experiment treatment. Control = seeds accessible by all animals, Cage = exclosure cage treatment with 10x10cm entrances where large vertebrates were excluded (Field type: categorical)</li><li><b>func.group</b>: functional group of the seed visitor (Field type: categorical)</li><li><b>animal.comment</b>: animal species if possible to identify on photos, with some level of uncertainty (Field type: taxa)</li><li><b>visit.number</b>: visit number of the apparent repeated visits by the same animal, with some level of uncertainty (Field type: numeric)</li><li><b>PIT.tag</b>: the PIT tag number of tagged animals entering cage, detected by the antenna and recorded by the data logger (Field type: id)</li><li><b>estimated.body.size</b>: body size estimate from photos, in mm, with some level of uncertainty (Field type: comments)</li><li><b>activity</b>: observed interaction with seeds, with details in the next column. For analysis, "investigate" was not considered an active interaction. (Field type: categorical)</li><li><b>activity.comment</b>: detailed comments on the activity (Field type: comments)</li><li><b>seed.type</b>: the seed type(s) interacted with, if possible to determine, with some level of uncertainty (Field type: categorical)</li></ul></li></ol><p><b>Date range: </b>2017-03-01 to 2017-10-31</p><p><b>Latitudinal extent: </b>4.6881 to 4.7519</p><p><b>Longitudinal extent: </b>116.9633 to 117.5934</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Rodentia <br> -  -  -  -  -  Muridae <br> -  -  -  -  -  -  <i>Maxomys</i> <br> -  -  -  -  -  -  -  <i>Maxomys surifer</i> <br> -  -  -  -  -  -  -  <i>Maxomys rajah</i> <br> -  -  -  -  -  -  <i>Sundamys</i> <br> -  -  -  -  -  -  -  <i>Sundamys muelleri</i> <br> -  -  -  -  -  -  <i>Rattus</i> <br> -  -  -  -  -  -  -  <i>Rattus exulans</i> <br> -  -  -  -  -  -  <i>Chrotomys</i> <br> -  -  -  -  -  -  -  <i>Chrotomys whiteheadi</i> (as homotypic_synonym: <i>Maxomys whiteheadi</i>)<br> -  -  -  -  -  -  <i>Leopoldamys</i> <br> -  -  -  -  -  -  -  <i>Leopoldamys sabanus</i> <br> -  -  -  -  -  Sciuridae <br> -  -  -  -  -  -  <i>Callosciurus</i> <br> -  -  -  -  -  -  -  <i>Callosciurus notatus</i> <br> -  -  -  -  -  -  -  <i>Callosciurus adamsi</i> <br> -  -  -  -  -  -  <i>Lariscus</i> <br> -  -  -  -  -  -  -  <i>Lariscus hosei</i> <br> -  -  -  -  -  -  <i>Sundasciurus</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus lowii</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus tenuis</i> <br> -  -  -  -  -  -  -  <i>Sundasciurus hippurus</i> <br> -  -  -  -  -  -  <i>Rhinosciurus</i> <br> -  -  -  -  -  -  -  <i>Rhinosciurus laticaudatus</i> <br> -  -  -  -  -  Hystricidae <br> -  -  -  -  -  -  <i>Hystrix</i> <br> -  -  -  -  -  -  -  <i>Hystrix brachyura</i> <br> -  -  -  -  -  -  -  <i>Hystrix crassispinis</i> <br> -  -  -  -  Scandentia <br> -  -  -  -  -  Tupaiidae <br> -  -  -  -  -  -  <i>Tupaia</i> <br> -  -  -  -  -  -  -  <i>Tupaia tana</i> <br> -  -  -  -  -  -  -  <i>Tupaia gracilis</i> <br> -  -  -  -  -  -  -  <i>Tupaia glis</i> <br> -  -  -  -  -  -  -  <i>Tupaia minor</i> <br> -  -  -  -  -  -  -  <i>Tupaia dorsalis</i> <br> -  -  -  -  Artiodactyla <br> -  -  -  -  -  Suidae <br> -  -  -  -  -  -  <i>Sus</i> <br> -  -  -  -  -  -  -  <i>Sus barbatus</i> <br> -  -  -  -  -  Tragulidae <br> -  -  -  -  -  -  <i>Tragulus</i> <br> -  -  -  -  -  -  -  <i>Tragulus napu</i> <br> -  -  -  -  Erinaceomorpha <br> -  -  -  -  -  Erinaceidae <br> -  -  -  -  -  -  <i>Echinosorex</i> <br> -  -  -  -  -  -  -  <i>Echinosorex gymnura</i> <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Viverridae <br> -  -  -  -  -  -  <i>Viverra</i> <br> -  -  -  -  -  -  -  <i>Viverra tangalunga</i> <br> -  -  -  -  -  -  <i>Paguma</i> <br> -  -  -  -  -  -  -  <i>Paguma larvata</i> <br> -  -  -  -  -  Ursidae <br> -  -  -  -  -  -  <i>Helarctos</i> <br> -  -  -  -  -  -  -  <i>Helarctos malayanus</i> <br> -  -  -  -  -  Mustelidae <br> -  -  -  -  -  -  <i>Martes</i> <br> -  -  -  -  -  -  -  <i>Martes flavigula</i> <br> -  -  -  Reptilia <br> -  -  -  -  Squamata <br> -  -  -  -  -  Gekkonidae <br> -  -  -  -  -  Scincidae <br> -  -  -  Aves <br> -  -  -  -  Columbiformes <br> -  -  -  -  -  Columbidae <br> -  -  -  -  -  -  <i>Chalcophaps</i> <br> -  -  -  -  Galliformes <br> -  -  -  -  -  Phasianidae <br> -  -  -  -  -  -  <i>Lophura</i> <br> -  -  -  -  -  -  -  <i>Lophura ignita</i> <br> -  -  -  -  -  -  <i>Argusianus</i> <br> -  -  -  -  -  -  -  <i>Argusianus argus</i> <br> -  -  -  -  Passeriformes <br> -  -  -  -  -  Pellorneidae <br> -  -  -  -  -  -  <i>Malacocincla</i> <br> -  -  -  -  -  -  -  <i>Malacocincla malaccensis</i> <br> -  -  -  -  -  -  <i>Malacopteron</i> <br> -  -  -  -  -  -  -  <i>Malacopteron affine</i> <br> -  -  -  -  -  -  <i>Pellorneum</i> <br> -  -  -  -  -  -  -  <i>Pellorneum capistratum</i> <br> -  -  -  -  -  Muscicapidae <br> -  -  -  -  -  -  <i>Trichixos</i> <br> -  -  -  -  -  -  -  <i>Trichixos pyrropygus</i> (as homotypic_synonym: <i>Copsychus pyrropygus</i>)<br> -  -  -  -  -  -  <i>Enicurus</i> <br> -  -  -  -  -  -  -  <i>Enicurus leschenaulti</i> <br> -  -  -  -  -  -  -  <i>Enicurus borneensis</i> <br> -  -  -  -  -  -  <i>Copsychus</i> <br> -  -  -  -  -  -  -  <i>Copsychus stricklandii</i> <br> -  -  -  -  -  -  -  <i>Copsychus stricklandii</i> <br> -  -  -  -  -  -  -  <i>Copsychus malabaricus</i> <br> -  -  -  Amphibia <br> -  -  -  -  Anura <br> -  -  Arthropoda <br> -  -  -  Arachnida <br> -  -  -  -  Araneae <br> -  -  -  Malacostraca <br> -  -  -  -  Decapoda <br> -  -  -  Insecta <br> -  -  -  -  Lepidoptera <br> -  -  -  -  -  Nymphalidae <br> -  -  -  -  -  -  <i>Danaus</i> <br> -  -  -  -  -  -  -  <i>Danaus plexippus</i> <br> -  -  -  -  Lepidoptera <br> -  -  -  -  -  Nymphalidae <br> -  -  -  -  -  -  <i>Danaus</i> <br> -  -  -  -  -  -  -  <i>Danaus plexippus</i> <br> -  -  -  -  Coleoptera <br> -  -  -  -  Phasmida <br> -  -  -  -  Orthoptera <br> -  -  -  -  -  Grasshooper <br> -  -  -  -  -  Gryllidae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  Annelida <br> -  -  -  Clitellata <br> -  -  -  -  Arhynchobdellida <br> -  -  -  -  -  Haemadipsidae <br> -  -  -  -  -  -  <i>Haemadipsa</i> <br> -  -  Mollusca <br> -  -  -  Gastropoda <br></div><p></p>
FIGURE 1 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 1. Map of Australia with major clusters retrieved from the analysis.
FIGURE 8 in Quantifying vertebrate zoogeographical regions of Australia using geospatial turnover in the species composition of mammals, birds, reptiles and terrestrial amphibians
FIGURE 8. The interim zoogeographic provinces of Australia.
Data from: Resources for phylogenomic analyses of Australian terrestrial vertebrates
High-throughput sequencing methods promise to improve our ability to infer the evolutionary histories of lineages and to delimit species. These are exciting prospects for the study of Australian vertebrates, a group comprised of many globally unique lineages with a long history of isolation. The evolutionary relationships within many of these lineages have been difficult to resolve with small numbers of loci, and we now know that many lineages also exhibit substantial cryptic diversity. Here, we present a set of phylogenetically diverse transcriptome resources to enable exon-based sequence capture studies of Australian vertebrates, including transcriptome sequences for four species of birds, four frogs, seven lizards and seven mammals. We also use exon data from the marsupial transcriptomes we generated to examine an approach for choosing a moderate number (dozens or hundreds) of phylogenetically informative exons based on a single transcriptome sequence, and a relatively distant reference genome.
FIGURE 1 in The smallest terrestrial vertebrate of Ecuador: A new frog of the genus Pristimantis (Amphibia: Strabomantidae) from the Cordillera del Cóndor
FIGURE 1. Adult male holotype of Pristimantis minimus, QCAZ 41612, SVL 11.9 mm.
FIGURE 5 in The smallest terrestrial vertebrate of Ecuador: A new frog of the genus Pristimantis (Amphibia: Strabomantidae) from the Cordillera del Cóndor
FIGURE 5. Variation of the width of finger tips. (A) Wide fingers tips. (B) Acute finger tips.
Figure 2 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 2 Differences in species composition between Cucapá and the NPAsA birds B mammals C reptiles. Total difference in species composition (βjac; complete bar), proportion of the difference due to species turnover (βjtu; black portion of bar) and proportion of the difference due to nestedness (βjne; gray portion of bar).
Figure 1 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 1 Location of protected natural areas in northern Baja California: government NPAs 1) Parque Nacional Constitucion de 1857, 2) Reserva de la Biosfera Alto Golfo de California y Delta del Río Colorado; Ramsar Sites 3) Humedales del Delta del Río Colorado, 4) Sistema de Humedales Remanentes del Río Colorado, 5) Laguna Hanson; Community NPAs 6) Rancho Rodeo del Rey, 7) El Doctor, and Private NPAs 8) Rancho Rodeo del Rey. * indicates the overlap zone between NPAs 2 and 3, + indicates the overlap zone between NPAs 2 and 4.
Data from: Resources for phylogenomic analyses of Australian terrestrial vertebrates
Open the record for dataset details and reuse information.
Data from: Humans recognize emotional arousal in vocalizations across all classes of terrestrial vertebrates: evidence for acoustic universals
Open the record for dataset details and reuse information.
Data from: Axial allometry in a neutrally buoyant environment: effects of the terrestrial-aquatic transition on vertebral scaling
Open the record for dataset details and reuse information.
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.