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.
532
datasets available to search
ShareScore release 0.9.0
Dataset results
532 results for “Extent”
Fig. 2 in The extent of the pterosaur flight membrane
Fig. 2. Various configurations of the pterosaur main wing. A. The traditional "bat−like" interpretation adopted by Sömmerring 1812 (1) and Marsh 1888 (2). B. The "bird−like" model where the membrane was free of the legs and attached to the body after Peters 2001(3), Padian and Rayner 1993 (4, 5), or tail Bennett 1987(6). C. The "Pterodactylus model" where the membrane, based on specimen NHMW 1975/1756, attached around the knee (7). D. A more recent "bat−like" wing model (8, 9) where the membrane attaches to the ankle (Unwin and Bakhurina 1994; Frey and Martill 1998; Frey and Tischlinger 2000; Tischlinger and Frey 2002; Frey et al. 2003).
Fig. 1 in The extent of the pterosaur flight membrane
Fig. 1. Schematic sketch of Pterodactylus as viewed in its inferred flight position from ventral view (adapted from Wellnhofer 1970). The three flight membranes are illustrated with the brachiopatagium, the focus of this work, being shaded in grey. All terminology is applied to the animal in this position and the size of any specific chord is here generally defined as being narrow or broad, large or small. While the root chord should generally also include the chord of the propatagium for the purpose of this paper it is restricted to the brachiopatagium.
Supplementary files to 'Along-strike extent of earthquakes on multi-segment reverse faults; insights from the Nevis-Cardrona Fault, Aotearoa New Zealand'
<p>Supplementary files to the article: Williams, J., Stirling, M., Langridge, R., Niroula, G., Vause, A., Stewart, J., Nicol, A., & Wang, N. (2024). Along-strike extent of earthquakes on multi-segment reverse faults; insights from the Nevis-Cardrona Fault, Aotearoa New Zealand. <em>Seismica</em>, <em>3</em>(2). https://doi.org/10.26443/seismica.v3i2.1310.</p> <p>Contents are:</p> <ul> <li>NCF_SuppInfo.pdf: Supplements S1-S4, where S1 are logs and photos from trenches excavated across the Nevis Fault in the 1980's, S2 are lidar-derived topographic profiles across scarps on the NW Cardrona segment, S3 is the laboratory report on the Stoney Creek and German Creek OSL samples, and S4 is the Upper Nevis Trench OxCal Model. Supplement S2 incorporates lidar provided by Toitū Te Whenua Land Information New Zealand (LINZ), and licensed under the Creative Commons Attribution 4.0 International licence (https://data.linz.govt.nz/layer/99123-otago-lidar-1m-dem-2016/).</li> <li>Unannotated orthomosiacs of the German Creek and Stoney Creek trench walls (as shown in Figures 5 and 6 in the manuscript)</li> <li>Digital surface models for the following Nevis segment localities: Stoney Creek, German Creek, Drummond Creek, and Coal Creek. The digital surface models (DSM) were derived from photos taken usig a DJI Phantom 3 Professional drone. The photos were then processed into a DSM using Agisoft structure for motion software. Ground control points were not used. Further details of the DSM generation are given in the manuscript.</li> </ul> <p>Any questions, please contact: jack.williams@otago.ac.nz</p>
Global oil palm extent and planting year from 1990 to 2021
<p>This repository contains a 10-m global oil palm extent layer for 2021 and a 30-m oil palm planting year layer from 1990 to 2021. The oil palm extent layer was produced using a convolutional neural network that identified industrial and smallholder plantations in Sentinel-1 data. The oil palm planting year was developed using a methodology specifically designed to detect the early stages of oil palm development in the Landsat time series. </p> <p>The repository contains the following data:</p> <p>- Grid_OilPalm2016-2021.shp: shapefile that delineates the 609 grid cells of 100 x 100 km where oil palm was found.</p> <p>- GlobalOilPalm_OP-extent.zip: 609 raster tiles of 100x100 km in geotiff format. The raster files show the results of the deep learning classification at a spatial resolution of 10 meters. The classes are the following:</p> <p>[0] Other land covers that are not oil palm.</p> <p>[1] Industrial oil palm plantations</p> <p>[2] Smallholder oil palm plantations.</p> <p>- GlobalOilPalm_YoP.zip: 609 raster tiles of 100x100 km in geotiff format. The raster files depict the year of oil palm plantation. The raster files have a spatial resolution of 30 meters.</p> <p>- Validation_points_GlobalOP2016-2021.shp: shapefile that contains the 18,812 points used to validate the global oil palm extent 2016–2021 and the oil palm age layer. Each point includes the attribute ‘Class’, which is the class assigned by visual interpretation of sub-meter resolution images, and the attributes ‘OP2016-2021’ and ‘OP2019’, which show the mapped classes in the oil palm extent 2016–2021 (this dataset) and the global oil palm layer 2019 (Descals et al., 2021), respectively. These attributes contain the following class values:</p> <p>[0] Other land covers that are not oil palm.</p> <p>[1] Industrial oil palm plantations.</p> <p>[2] Smallholder oil palm plantations.</p> <p>The oil palm extent and the planting year can be visualized at: https://ee-globaloilpalm.projects.earthengine.app/view/global-oil-palm-planting-year-1990-2021. This web map allows for the inspection of Landsat time series and the visualization of historical satellite images for a given oil palm plantation.</p> <p>If you are interested in obtaining the GeoTIFF file for a specific region, please refer to this Google Earth Engine script, which shows the IDs of each tile:<br>https://code.earthengine.google.com/284cf1dc974295c57fe55bccf5acd83e </p> <p>Changelog v1.2: The validation dataset includes 1,000 additional points generated using stratified random sampling: 300 points for the class ‘smallholder oil palm’ and 700 points for ‘industrial oil palm’. The shapefile contains a new attribute, 'Sampling_type', which specifies whether the points were generated with simple or stratified random sampling. </p>
Data and Python scripts for "Manifold increase in the spatial extent of heatwaves in the terrestrial Arctic"
<p>Data and Python scripts for reproducing the figures and results included in the manuscript "Manifold increase in the spatial extent of heatwaves in the terrestrial Arctic".</p> <p>Figures 1-4 are produced via respective Python codes. Heatwave magnitude index daily (HWMId) for ERA5-Land is available from. hw_era5land.nc file. HWMId fields for CMIP6 models are included in cmip6_hwmid.zip. The underlying data behind the figures 1-4 are included in data_to_produce_figs.zip.</p> <p>The paper is published in Rantanen, M., Kämäräinen, M., Luoto, M. <em>et al.</em> Manifold increase in the spatial extent of heatwaves in the terrestrial Arctic. <em>Commun Earth Environ</em> <strong>5</strong>, 570 (2024). https://doi.org/10.1038/s43247-024-01750-8</p>
Figure 3 in Corals and reefs of Cosmoledo and Aldabra atolls: Extent of damage, assemblage shifts and recovery following the severe mortality of 1998
Figure 3. Visual estimates of coral cover at various depths on seaward slopes (diamonds) and lagoon patch reefs (open circles). The dotted curve indicates hypothetical or possible approximate maximum pre-bleaching coral cover with depth, based on maximum values found in patches here at shallow and intermediate depths. The solid curve is a third-order polynomial fit of the seaward reef cover values. Average seaward reef mortality is suggested by the gap between the two curves. The arrow marks the approximate transition depth.
Figure 2 in Corals and reefs of Cosmoledo and Aldabra atolls: Extent of damage, assemblage shifts and recovery following the severe mortality of 1998
Figure 2. (a) Seaward reef slope of West Cosmoledo. This is typical of shallow seaward slopes of south, through west to the north, showing very limited coral growth, but presence of algae. (b) Dead Millepora colonies in the lagoon are extensive, without sign of live growth and few new recruits. (c) Acropora palifera, showing recovery on shallow seaward slopes. It is growing on the side of a large dead colony of the same species. (d) Dead Acropora cytherea, eroded but still standing. Most examples in November 2002 were remnants of stumps. A new Acropora has since settled on the table. The yellow device is a newly installed temperature logger.
Figure 1 in Corals and reefs of Cosmoledo and Aldabra atolls: Extent of damage, assemblage shifts and recovery following the severe mortality of 1998
Figure 1. The Aldabra group of atolls, showing survey sites. Top left: location map, rectangle shows location of the four components of the Aldabra group; top right: World Vector Shoreline outline of the four groups; lower right: Cosmoledo Atoll (scanned image from map); lower left: Aldabra (from a Landsat MSS). On lower maps, dots indicate sample sites in lagoon and seaward sites, rectangles indicate sample sites in main channels. In Cosmoledo, lagoon sites are pooled. On seaward side of Cosmoledo, sites were West (Menai Island), North (North Island) and North-West (midway between the two). Seaward site in Aldabra was 300–500 m north of the field station (marked by ×). All sites in Cosmoledo lagoon had radii of at least 100 m, or, on seaward sites, along at least 200 m of reef between 0 and 30 m depth.
Text-fig. 16. a) MNHN LBE 007, symphysis with left and right i/1 of Barytherium sp. from Dor el Talha, Libya. (a1 – superior stereo views of the symphysis, a2 – stereo distal view of right i/1 (arrow 1 shows the interstitial contact facet close to the apex caused by abrasion against the right i/2), a3 – section of right i/1 viewed from the radicular end to show the extent of the enamel cover (below the arrows 2) and the dome-shaped dentine mass on the lingual aspect (above the arrows), a4 – stereo occlusal views of right i/1 (note the orientation of the apical wear facet), a5 – stereo mesial view) (scale bar 5 cm); b–c) NHMUK M 82167b, distal stereo views of lower central incisors of Arcanotherium savagei from Dor el Talha, Libya, to show the interstitial wear facets near cervix caused by abrasion against the i/2s (b – left i/1, c – right i/1) (scale bar 10 cm). in Large Mammals From The Rupelian Of Oman - Recent Finds
Text-fig. 16. a) MNHN LBE 007, symphysis with left and right i/1 of Barytherium sp. from Dor el Talha, Libya. (a1 – superior stereo views of the symphysis, a2 – stereo distal view of right i/1 (arrow 1 shows the interstitial contact facet close to the apex caused by abrasion against the right i/2), a3 – section of right i/1 viewed from the radicular end to show the extent of the enamel cover (below the arrows 2) and the dome-shaped dentine mass on the lingual aspect (above the arrows), a4 – stereo occlusal views of right i/1 (note the orientation of the apical wear facet), a5 – stereo mesial view) (scale bar 5 cm); b–c) NHMUK M 82167b, distal stereo views of lower central incisors of Arcanotherium savagei from Dor el Talha, Libya, to show the interstitial wear facets near cervix caused by abrasion against the i/2s (b – left i/1, c – right i/1) (scale bar 10 cm).
High resolution Cropland Extent for Karamoja Uganda 2010/11
<p>This dataset is a shapefile of Cropland extent for Karamoja derived for 2010/2011 from WorldView 1&2 panchromatic and multispectral data at 0.5 m and 1.8 m resolution respectively. The satellite images were acquired between 2010 and 2011 and obtained from The National Geospatial-Intelligence Agency (NGA) through an agreement with NASA under the NextView License (For information about the NextView License, please visit: http://cad4nasa.gsfc. nasa.gov/.). Description of the method to derive the map are included in the reference below.</p> <p>Nakalembe, C., Dempewolf, J., & Justice, C. (2017). Agricultural land use change in Karamoja Region , Uganda. <em>Land Use Policy</em>, <em>62</em>, 2–12. https://doi.org/10.1016/j.landusepol.2016.11.029</p>
Animated E3SM V1 High Resolution Full Coupled Sea Ice Thickness and Extent with mid-20th Century Atmospheric Constituents
<p>This animated GIF file visualizes daily grid-cell mean sea ice thickness from version 1 of the Energy Exascale Earth System Model (E3SM) using 25km Atmosphere/Land and 8-16km Sea Ice-Ocean resolutions as described in the manuscript "The DOE E3SM coupled mo del version 1: Description 1 and results at high resolution". River routing is resolved at 0.125˚. This fully coupled simulation was spun-up for 6 years, and then proceeded for 50 subsequent years using HighResMIP protocols for continuuous 1950s atmospheric constituents. The animation shows both pan-Arctic and Southern Ocean daily sea thickness evolution in each frame for model years 46 to 55, truncated at 15% sea ice concentration, and is best viewed from within a web browser.</p>
Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfjöll region, Iceland - field photos and thin sections
<p>Fieldwork photos from Kverkfjöll, Iceland, since 2020 as a part of fieldwork-based master's thesis in geology, where a pillow lava and hyaloclastite formation was studied. Included are field photos and composited field photos, along with a map showing where said photos are. Also included are photomicrographs of thin sections, scanned and labeled photos of each thin section, and their rough position within each pillow crust sample. Please refer to the actual thesis for more information: Origin, extent, and emplacement conditions of newly exposed pillow lavas in the Kverkfjöll region, Iceland (Valdimarsdóttir, 2023).</p>
Isotope mixing scenarios for: To what extent are the source mixing models accurate: evaluation of the model accuracy and guidelines for the site-specific model selection
<p><span>We selected 10 types of distinct isotope signatures that can be found in the samples of natural water. Every 3–10 types of hypothetical isotope signatures were conceptually grouped together. There would be 968 possible combinations based on combinatorics theory. However, we needed distinct mixing polygons to facilitate our determination of model capacity in dealing with uncertainties. Therefore, we </span><span>kept </span><span>only 240 such groups in </span><span>the </span><span>final</span><span> analysis</span><span>. Each group was designated with a </span><span>predefined</span><span> mixing ratio. After that, we ran all the examined models through these mixing scenarios to </span><span>obtain</span><span> the model estimation of the mixing ratios.</span></p>
Areal Extents of the SPA Central Cryptomaria
<p>This dataset contains the areal extents of the SPA central cryptomaria analyzed in Wang et al. (2023), as shown in Figure 8. The data is in 'shafile' format and can be opened directly in ArcGIS software. The data is in the stereographic projection centered at the center of SPA (191.1°E, 53.2°S; Garrick-Bethell and Zuber, 2009).</p> <p>MinExt_SPACC=Minimum areal extent of the SPA central cryptomaria;</p> <p>MaxExt_SPACC=Maximum areal extent of the SPA central cryptomaria.</p>
Variations in the Intensity and Spatial Extent of Tropical Cyclone Precipitation
Open the record for dataset details and reuse information.
Examination of head versus body heading may help clarify the extent to which animal movement pathways are structured by environmental cues?
Open the record for dataset details and reuse information.
Body size modulates the extent of seasonal diet switching by large mammalian herbivores in Yellowstone National Park
Open the record for dataset details and reuse information.
Isotope mixing scenarios and machine learning model in: To what extent are the source mixing models accurate: evaluation of the model accuracy and guidelines for the site-specific model selection
Open the record for dataset details and reuse information.
To what extent is research on infrahumanization confounded by intergroup preference?
Open the record for dataset details and reuse information.
Where are the trees? Extent, configuration, and drivers of poor forest recovery 30 years after the 1988 Yellowstone Fires.
Postfire recovery of fire-adapted forests remains uncertain as climate and fire regimes continue to change. Areas of poor postfire tree regeneration following late-20th-century fires may reveal characteristics associated with increased vulnerability to forest decline. However, sufficient time must have elapsed and pre- and postfire forest cover must be compared to distinguish areas that have not recovered. We used remotely sensed data and the Normalized Difference Vegetation Index (NDVI) to detect areas of poor forest recovery across >250,000 ha of area burned as stand-replacing fire 30 years after the 1988 Yellowstone fires. We asked three questions: (1) What is the extent and configuration of sparse and reduced forest recovery? (2) How do vegetation characteristics compare between areas of sparse and reduced recovery vs. recovered forest? (3) What environmental characteristics explain the distribution and patch size of sparse and reduced recovery? We related postfire (2013-14) NDVI to field-measured stem density to establish an NDVI threshold of sparse tree regeneration, and we contrasted pre- (1986-87) and postfire (2018-19) NDVI as a proxy for pre- and postfire forest cover. Sparse and reduced forest recovery occupied ~41,000 ha across the burned area, about half of which was ≥150 m from ex situ seed sources. Patches of poor recovery were generally large, with ~13,400 ha in patches ≥50 ha and an area-weighted mean patch size of 97 ha. Vegetation was short (<2 m) in areas of sparse and reduced recovery and non-evergreen biomass was three times greater than in recovered forest. Sparse and reduced recovery was more likely at high elevations, on steep slopes, and far from ex situ seed sources, and patches were larger at high elevations and far from seed sources. It took 20 years for sparse and reduced recovery to be distinguishable from recovered forest using NDVI, suggesting a time lag before remotely sensed data can detect alternative pathways of postfire forest r
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.