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.
3,136
datasets available to search
ShareScore release 0.9.0
Dataset results
3,136 results for “Terrestrialization”
Linked collectors and determiners for: South Australian Museum Terrestrial Invertebrate Images.
Natural history specimen data linked to collectors and determiners held within, "South Australian Museum Terrestrial Invertebrate Images". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/de077267-677e-4b3e-a40e-753a2d1c7b6a">https://bionomia.net/dataset/de077267-677e-4b3e-a40e-753a2d1c7b6a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/de077267-677e-4b3e-a40e-753a2d1c7b6a">https://gbif.org/dataset/de077267-677e-4b3e-a40e-753a2d1c7b6a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Revision of the terrestrial isopods of the subgenus Hemilepistus (Desertellio) Verhoeff, 1930 (Isopoda: Oniscidea).
Natural history specimen data linked to collectors and determiners held within, "Revision of the terrestrial isopods of the subgenus Hemilepistus (Desertellio) Verhoeff, 1930 (Isopoda: Oniscidea)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b0494d52-10ee-4896-9899-04cb50b391f0">https://bionomia.net/dataset/b0494d52-10ee-4896-9899-04cb50b391f0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b0494d52-10ee-4896-9899-04cb50b391f0">https://gbif.org/dataset/b0494d52-10ee-4896-9899-04cb50b391f0</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new species of long-legged terrestrial Terrapotamon Ng, 1986 (Crustacea: Brachyura: Potamidae) from limestone formations in Satun, southern Thailand.
Natural history specimen data linked to collectors and determiners held within, "A new species of long-legged terrestrial Terrapotamon Ng, 1986 (Crustacea: Brachyura: Potamidae) from limestone formations in Satun, southern Thailand". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7fd40431-a108-4133-9397-7b4750b0feff">https://bionomia.net/dataset/7fd40431-a108-4133-9397-7b4750b0feff</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7fd40431-a108-4133-9397-7b4750b0feff">https://gbif.org/dataset/7fd40431-a108-4133-9397-7b4750b0feff</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: AM: Terrestrial Insect Collections (1896-2000).
Natural history specimen data linked to collectors and determiners held within, "AM: Terrestrial Insect Collections (1896-2000)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/56fe0b98-95e1-4544-b398-fa7cebf18598">https://bionomia.net/dataset/56fe0b98-95e1-4544-b398-fa7cebf18598</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/56fe0b98-95e1-4544-b398-fa7cebf18598">https://gbif.org/dataset/56fe0b98-95e1-4544-b398-fa7cebf18598</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Terrestrial and limnic invertebrates systematic collection, NTNU University Museum.
Natural history specimen data linked to collectors and determiners held within, "Terrestrial and limnic invertebrates systematic collection, NTNU University Museum". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1bec5de3-758c-4ed2-ab13-1597601ad07a">https://bionomia.net/dataset/1bec5de3-758c-4ed2-ab13-1597601ad07a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1bec5de3-758c-4ed2-ab13-1597601ad07a">https://gbif.org/dataset/1bec5de3-758c-4ed2-ab13-1597601ad07a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: San Diego State University - Terrestrial Arthropods Collection.
Natural history specimen data linked to collectors and determiners held within, "San Diego State University - Terrestrial Arthropods Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/18cc26e0-a0b3-4ea5-865b-9159a5488624">https://bionomia.net/dataset/18cc26e0-a0b3-4ea5-865b-9159a5488624</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/18cc26e0-a0b3-4ea5-865b-9159a5488624">https://gbif.org/dataset/18cc26e0-a0b3-4ea5-865b-9159a5488624</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Diversity of terrestrial arthropods exhibiting mimicry from Hazaribagh Plateau region.
Natural history specimen data linked to collectors and determiners held within, "Diversity of terrestrial arthropods exhibiting mimicry from Hazaribagh Plateau region". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a79e719e-b5b7-4e4a-b963-af3a7ca408d9">https://bionomia.net/dataset/a79e719e-b5b7-4e4a-b963-af3a7ca408d9</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a79e719e-b5b7-4e4a-b963-af3a7ca408d9">https://gbif.org/dataset/a79e719e-b5b7-4e4a-b963-af3a7ca408d9</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Digitization PEN: Digital Data from the Terrestrial Polyneoptera at American Museum of Natural History.
Natural history specimen data linked to collectors and determiners held within, "Digitization PEN: Digital Data from the Terrestrial Polyneoptera at American Museum of Natural History". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d475b3b1-1e5a-4d56-a547-f7afb810c4c5">https://bionomia.net/dataset/d475b3b1-1e5a-4d56-a547-f7afb810c4c5</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d475b3b1-1e5a-4d56-a547-f7afb810c4c5">https://gbif.org/dataset/d475b3b1-1e5a-4d56-a547-f7afb810c4c5</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Terrestrial Plant Collection (Canopy Foliage).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Terrestrial Plant Collection (Canopy Foliage)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f0b88eb8-cfc1-4989-861d-30521645ce11">https://bionomia.net/dataset/f0b88eb8-cfc1-4989-861d-30521645ce11</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f0b88eb8-cfc1-4989-861d-30521645ce11">https://gbif.org/dataset/f0b88eb8-cfc1-4989-861d-30521645ce11</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Terrestrial Plant Collection (Leaf Tissue).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Terrestrial Plant Collection (Leaf Tissue)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/edc4ab0b-1ad7-4e53-a741-4423d0196a06">https://bionomia.net/dataset/edc4ab0b-1ad7-4e53-a741-4423d0196a06</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/edc4ab0b-1ad7-4e53-a741-4423d0196a06">https://gbif.org/dataset/edc4ab0b-1ad7-4e53-a741-4423d0196a06</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Cynosurus peltieri (Pooideae, Poaceae), a poorly known species endemic to the Algerian-Tunisian terrestrial flora: further insights on its occurrence, IUCN Red List assessment, and lectotypification.
Natural history specimen data linked to collectors and determiners held within, "Cynosurus peltieri (Pooideae, Poaceae), a poorly known species endemic to the Algerian-Tunisian terrestrial flora: further insights on its occurrence, IUCN Red List assessment, and lectotypification". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7c30f997-5513-4990-a378-4040ba4a2b44">https://bionomia.net/dataset/7c30f997-5513-4990-a378-4040ba4a2b44</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7c30f997-5513-4990-a378-4040ba4a2b44">https://gbif.org/dataset/7c30f997-5513-4990-a378-4040ba4a2b44</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: NEON Biorepository Terrestrial Plant Collection (Herbarium Vouchers).
Natural history specimen data linked to collectors and determiners held within, "NEON Biorepository Terrestrial Plant Collection (Herbarium Vouchers)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3fed506c-d04f-4cd4-b373-bd602572f39b">https://bionomia.net/dataset/3fed506c-d04f-4cd4-b373-bd602572f39b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3fed506c-d04f-4cd4-b373-bd602572f39b">https://gbif.org/dataset/3fed506c-d04f-4cd4-b373-bd602572f39b</a>. Formatted as a Frictionless Data package.
TreeGOER Holdridge Life Zone Distributions: Observations for 48,129 tree species across 45 historical (1901-1920) and contemporary (1979-2013) terrestrial life zones
<p><strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> is a database that documents the environmental ranges (minimum, maximum, median, mean and 5%, 25%, 75% and 95% quantiles) for 48,129 tree species and for 51 environmental variables, including 38 bioclimatic variables, 8 soil variables and 3 topographic variables. TreeGOER is available from the following Zenodo archives: <a href="https://doi.org/10.5281/zenodo.7922927">https://doi.org/10.5281/zenodo.7922927.</a></p> <p>The TreeGOER ranges were calculated after cleaning occurrence records and standardizing species names with the <a href="https://bsapubs.onlinelibrary.wiley.com/doi/10.1002/aps3.11388">WorldFlora</a> R package to <a href="https://onlinelibrary.wiley.com/doi/10.1002/tax.12373">World Flora Online</a> or the <a href="https://www.nature.com/articles/s41597-021-00997-6">World Checklist of Vascular Plants</a> for a global GBIF occurrence download of 44,267,164 occurrences (GBIF.org 2021 <strong>GBIF Occurrence Download</strong> <a href="https://doi.org/10.15468/dl.77gcvq">https://doi.org/10.15468/dl.77gcvq</a>). The process of compilation of TreeGOER with 30 arc-seconds global grid layers, two examples of BIOCLIM applications that investigated the effects of climate change on global tree diversity patterns and R scripts to repeat these analyses have been described by Kindt, R. (2023). <strong>TreeGOER: A database with globally observed environmental ranges for 48,129 tree species</strong>. Global Change Biology 29: 6303–6318. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</p> <p>This Zenodo archive documents the occurrence of the same previously compiled and cleaned observations for the TreeGOER across global raster layers that document the contemporary (1979-1920) and historical (1901-1920) distribution of 45 <strong>Terrestrial Life Zones</strong>. These global raster layers were created for the following article:</p> <ul> <li>Elsen, P. R., Saxon, E. C., Simmons, B. A., Ward, M., Williams, B. A., Grantham, H. S., Kark, S., Levin, N., Perez-Hammerle, K.-V., Reside, A. E., & Watson, J. E. M. (2022). Accelerated shifts in terrestrial life zones under rapid climate change. <em>Global Change Biology</em>, 28, 918–935. <a href="https://doi.org/10.1111/gcb.15962">https://doi.org/10.1111/gcb.15962</a></li> </ul> <p>and are <a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.41ns1rnff">available for download from DRYAD</a>:</p> <ul> <li>Elsen, Paul R.; Saxon, Earl C.; Simmons, B. Alexander; Ward, Michelle; Williams, Brooke A.; Grantham, Hedley S.; Kark, Salit; Levin, Noam; Perez-Hammerle, Katharina-Victoria; Reside, April E.; Watson, James E. M.; Perez‐Hammerle, Katharina‐Victoria. 2021. Data from: Accelerated shifts in terrestrial life zones under rapid climate change.<strong> </strong>Nov 05 2021 version files. <a href="https://doi.org/10.5061/dryad.41ns1rnff">https://doi.org/10.5061/dryad.41ns1rnff</a></li> </ul> <p>The raster layers were processed using <em>R</em> and <em>Google Earth Engine</em> following the methodology described in Elsen et al (<a href="https://doi.org/10.1111/gcb.15962">2022</a>). Documentation of the different zones are partially available from this README file: <a href="https://datadryad.org/stash/downloads/file_stream/1145694">https://datadryad.org/stash/downloads/file_stream/1145694</a></p> <p>For each of the 48,129 tree species, the distribution is given for:</p> <ul> <li>Contemporary climate: number of observations in life zones mapped by <a href="https://datadryad.org/stash/downloads/file_stream/1145680">https://datadryad.org/stash/downloads/file_stream/1145680</a></li> <li>Historical climate: number of observations in life zones mapped by <a href="https://datadryad.org/stash/downloads/file_stream/1145681">https://datadryad.org/stash/downloads/file_stream/1145681</a></li> <li>Mixed climate: number of observations for contemporary life zones if GBIF observations were from 1979 or later, and number of observations for historical life zones if GBIF observations were from before 1979</li> <li>Static climate: number of observations in the same zone in the contemporary and historical climate. The number of observations in areas where the life zone changed are listed in the variable of 'H-0'.</li> </ul> <p>Observations outside the life zone maps are listed in the variable of 'H-1'.</p> <p> </p> <p>The development of this data set archive supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em> projects, by the <strong>Bezos Earth Fund</strong> to the <em>Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>.</p>
Figure 1 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 1. ContinentalFrancewiththedepartmentMayennehighlighted (A) andhabitatmodelforthe Fire salamander indepartment Mayenne (B). Themap representsthe habitat suitability model Ps = (1/ (1 + exp(−0.0303*percent_forest_cover-0.00562*altitude-0.0299*percent_hedgerow_cover + 1.769))) and was visualized with ILWIS 3.6 software58, available at https://52north.org/software/software-projects/ilwis/. Habitat suitability increases from deep blue with a probability of occurrence of zero to deep red with a probability of occurrence at unity (see colour bar). Prime fire salamander habitats are found at higher altitudes and are forested (in black) or with a dense hedgerow cover. Populations genetically investigated are located in and around the largely deciduous forests Forêt de Bourgon (FB) and Bois de Hermet (BH) and listed in Table 1.The outer geographicalcoordinates of the department are 1.239–0.049W and 47.733–48.568N.
Figure 3 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 3. (A) Clustering of pairwise Fst-values of Kottenforstfire salamanderpopulations (localities K01-K47) with the UPGMA-method. Numbers K01-K27 represent populations in the western section of the forest and K28-K47 represent populationsin the eastern section of the forest. The basal cluster at Fst <0.04 is composed of two groups (shaded) composed of mostly eastern (14/16 = 88%) or mostlywestern localities (14/15 = 93%). Populations breeding in streams are shown by the letter S. Note that populations that join the dendrogram at higher Fst-values are characterized by mostlysmall effectivepopulation sizes (Ňe ≤ 10, indicated by small open dots; X – Ňe not determined). B top panel - Populationsplotted along the firstand second axis of a principal component analysis. Middle panel - Ellipses represent means ± standarddeviation for sevenstream populations (left ellipse) and 40 non-streampopulations (right ellipse). Lower panel - Ellipsesrepresent means ± standard deviation forthe western (left) and eastern (right) sectionof the Kottenforst, forsmall populations (Ňe ≤ 10) shown by interruptedlines andfor larger populations (Ňe> 10) shown by uninterrupted lines. Notethat for the larger populations the ellipses for western and eastern localities do not overlap.
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 4. MicrosatellitepopulationgeneticdataforthefiresalamanderintheKottenforst, Germany21,24 analyzed in the framework of allopatric speciation, i.e. a secondary spatial contact of a western pond-breeding lineage and an eastern stream-breeding lineage. The 95% credible cline regions are shown by grey shading. Solid and open round symbolsrepresent larger (Ňe> 10) andsmall populations (Ňe ≤ 10), respectively. Note that the stream-breeding populations that gave the composite genotype its name are all located in the eastern section of the Kottenforst (six data points indicated with a forward slash (/). One 'intermittent stream' in the western section is indicated by a backward slash. Also note the paucity of data at and around the steepest part of the clines. A – loadings on the first PC axis versus geographical distance. The clinecentre is at km 365.3 of the Universal Transverse Mercator (UTM) grid. Cline width is 3952 m. B – frequency of the stream-breeding genotype versus distance (after21). Thecline centre is at UTM km 365.1 and the cline widthis 1108 m. For model details see Supplementary Information VI.
Figure 2 in 'Mainland-island' population structure of a terrestrial salamander in a forest-bocage landscape with little evidence for in situ ecological speciation
Figure 2. (A) Clustering of pairwise Fst-values of firesalamander populations (Mayenne localities 1–41) with the UPGMA-method. The basal cluster at Fst <0.010 is mostly composed of forest populations (F, 17/21 = 81%) whereas populationsthat jointhe dendrogramat higher Fst-values are mostly fromthe bocage (B, 14/20 = 70%). At Fst> 0.025 the contribution of the bocage populations is eightout of eight. Notethat populations thatjoin the dendrogram at the highest Fst-values are characterizedby mostly small effective population sizes (Ňe ≤ 10, indicated by small open dots). (B) Populations plotted along the first and second axis of a principal component analysis. The 23 forest populations are shown by small solid round symbols and the solid ellipse represents the mean ± standard deviation. Eighteenpopulations from the bocageare shown by large open round symbols, with the mean ± standard deviation shown bythe widerellipse with the interrupted line.
Point clouds from terrestrial laser scanning of 97 trees in St Pancras Old Church, London
<p>Point clouds of 97 trees scanned in the grounds of St Pancras Old Church, Camden, London</p> <p>Tree species is predominantly London Plane (<em>Platanus × hispanica</em>) but also includes the <a href="https://www.atlasobscura.com/places/the-hardy-tree-london-england">Hardy ash tree</a>.</p> <p>Data was captured on 18/7/2017 (leaf-on) with a RIEGL VZ-400 terrestrial laser scanner. 38 scans were conducted from 19 positions. The weather was good, with little to no noticeable wind.</p> <p>Data is a binary PLY format with <em>xyz</em> fields in an arbitrary coordinate system. Trees have been extracted from the global point cloud and have been "cleaned" to remove the ground and neighbouring trees (however there may be some errors). Data has been downsampled to a voxel size of 0.04 m.</p> <p>Raw data can be accessed from here.</p> <p>Please acknowledge the data set authors if using this data.</p>
Point clouds from terrestrial laser scanning of 30 trees along Malet Street, London
<p>Point clouds of 30 street trees scanned along <a href="https://goo.gl/maps/7x3dutn6vHcxVPdC6">Malet Street, London, UK</a>. </p> <p>Tree species is predominantly London Plane (<em>Platanus × hispanica</em>).</p> <p>Data was captured on 8/2/2017 (leaf-off) with a RIEGL VZ-400 terrestrial laser scanner. 24 scans were conducted from 12 positions along the street. The weather was good, with little to no noticeable wind.</p> <p>Data is a binary PLY format with <em>xyz</em> fields in an arbitrary coordinate system. Trees have been extracted from the global point cloud and have been "cleaned" to remove the ground and neighbouring trees (however there may be some errors). Data has been downsampled to a voxel size of 0.04 m.</p> <p>Raw data can be accessed from here.</p> <p>Please acknowledge the data set authors if using this data.</p>
Point clouds from terrestrial laser scanning of 74 trees in Russell Square, London
<p>Point clouds of 74 trees scanned in <a href="https://www.google.co.uk/maps/place/Russell+Square/@51.5217533,-0.1280787,17z/data=!3m1!4b1!4m5!3m4!1s0x48761b310bb300bf:0xd1190a08b331324a!8m2!3d51.52175!4d-0.12589">Russell Square, London</a></p> <p>Tree species is predominantly London Plane (<em>Platanus × hispanica</em>).</p> <p>Data was captured on 8/2/2017 (leaf-off) with a RIEGL VZ-400 terrestrial laser scanner. 22 scans were conducted from 11 positions. The weather was good, with little to no noticeable wind.</p> <p>Data is a binary PLY format with <em>xyz</em> fields in an arbitrary coordinate system. Trees have been extracted from the global point cloud and have been "cleaned" to remove the ground and neighbouring trees (however there may be some errors). Data has been downsampled to a voxel size of 0.04 m.</p> <p>Raw data can be downloaded from <a href="https://doi.org/10.5281/zenodo.5070681">10.5281/zenodo.5070681</a></p> <p>Please acknowledge the data set authors if using this data.</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.