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.
62
datasets available to search
ShareScore release 0.9.0
Dataset results
62 results for “area covered”
Fractional Snow Covered Area at Ny-Ålesund (Svalbard, Norway)
<p>The gridded datasets is a ensembled product obtained since 2020 processing imagery acquired by different time-lapse cameras located at the Zeppelin Observatory, at the Gruvebadet Snow Research Site and at the Amundsen-Nobile Climate Change Tower. </p>
Text-fig. 25. Scanning electron microscope (SEM) images of Appomattoxia minuta sp. nov. fruits and associated monocolpate pollen grains; Torres Vedras locality, Portugal. a–c) Lateral view of fruits (a, holotype) covered with hooked hairs showing the apical stigmatic area; d–g) Pollen grains from the fruits in (a) and (b) showing short monocolpate aperture, granular aperture membrane and microechinate tectum. Specimens, TV44-S136786 (holotype; a, d, e), TV44-S136787 (b, f, g), TV43-S105022 (c). Scale bars 300 Μm (a–c), 30 Μm (e), 6 Μm (d, f, g). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 25. Scanning electron microscope (SEM) images of Appomattoxia minuta sp. nov. fruits and associated monocolpate pollen grains; Torres Vedras locality, Portugal. a–c) Lateral view of fruits (a, holotype) covered with hooked hairs showing the apical stigmatic area; d–g) Pollen grains from the fruits in (a) and (b) showing short monocolpate aperture, granular aperture membrane and microechinate tectum. Specimens, TV44-S136786 (holotype; a, d, e), TV44-S136787 (b, f, g), TV43-S105022 (c). Scale bars 300 Μm (a–c), 30 Μm (e), 6 Μm (d, f, g).
Supporting code and data for: Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
<p>This is the R code and shapefiles of the coniferous HUC-12 watersheds and their western US boundary for the publication, "Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds" </p>
Supporting code and data for: Proportion of forest area burned at high-severity increases with increasing forest cover and connectivity in western US watersheds
Open the record for dataset details and reuse information.
Estimated wetland vegetation cover comparing reference and muskrat disturbed areas
Biota that act as ecosystem engineers are increasingly recognized as effective components of habitat restoration as they can continuously alter and shape their environments without human intervention. Muskrats are considered ecosystem engineers and are relatively common in North American wetlands. While muskrat impacts to large areas have been documented, few studies have quantified the impact of muskrats on ecosystem biodiversity. We conducted a field study in wetlands along the Upper St. Lawrence River (New York, USA) to investigate the effects of muskrat herbivory and structure building on plant biodiversity in cattail-invaded wetlands. The data collected are separated into two main groups, i.e. “reference” vegetation surveys and “muskrat” vegetation surveys. “Reference” surveys were conducted for the partial grant fulfillment funded by the New York Department of Environmental Conservation [contract AM10165] and the National Fish and Wildlife Foundation special project administered by the United States Fish and Wildlife Service, Partners for Fish and Wildlife Program, New York Field Office, Cortland, NY [grant number #2005-0129-055/58859]. “Muskrat” surveys were conducted for the Masters project by Z.X. Kua. The five datasets include 1) Reference quadrat plant taxa estimated cover (n = 1912), 2) Reference quadrat cattail measurements (n = 737), 3) Muskrat-disturbed quadrat plant taxa estimated cover (n = 1886), 4) Muskrat-disturbed quadrat cattail measurements (n = 582), and 5) Wetland plant taxa lookup table for vegetation survey (n = 135).
SGS-LTER Ecosystem Stress Area - long-term point-frame (percent basal cover) dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1982-2011, ARS Study Number 3
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persisted on this site due to a chronic elevation of soil nitrogen caused by a plant tissue/soil organic matter feedback mechanism (Vinton and Burke 1995). In 1998, Six new treatments were superimposed on the historic study site. The six new treatments were: control, sugar, lignin, sawdust, lignin and sugar, and sawdust and sugar.In 2010, plots will be sampled every 5 years. Our objective in this study is to examine how plant communities change through time and explore implications of these changes for monitoring
Time series of snow cover area products over the Kananaskis Country
<p>This dataset contains maps of the snow cover area over the Kananaskis Country (Canada) from 01 September 2017 to 31 August 2018. The products were derived from Sentinel-2 observations. All available Sentinel-2 level 1C products were processed to level 2A (surface reflectance and cloud mask) using the <a href="https://github.com/CNES/Start-MAJA">MAJA software</a>. Then, level 2A products were processed using the <a href="https://gitlab.orfeo-toolbox.org/remote_modules/let-it-snow/">LIS software</a> to generate the snow cover maps.</p> <p>The area is covered by four tiles: T11UPT (81 dates), T11UPS (116 dates), T11UNT (114 dates), T11UNS (87 dates). The data are provided as GeoTIFF images coded as follows:</p> <ul> <li>0: No-snow</li> <li>100: Snow</li> <li>205: Cloud including cloud shadow</li> <li>255: No data</li> </ul> <p>Read more about these products in <a href="https://labo.obs-mip.fr/multitemp/snow-cover-duration-in-the-canadian-rockies-from-sentinel-2-observations/">this blog post</a>.</p>
Forest inventory, leaf area index, and leaf functional traits of various land cover classes in Kulen, Cambodia
<ol><li><strong>Sub-title 1: </strong>Forest inventory of evergreen forest, regrowth forest, and evergreen forest in Kulen, Cambodia. (<strong>File name: </strong><i>Forest_Inventory_Pub.txt)</i> <strong> </strong></li><li><strong>Sub-title 2: </strong>Species leaf area, chlorophyll a and b and leaf dry matter content of 30 species collected from evergreen forests, regrowth forests, and cashew plantation in Kulen, Cambodia. (<strong>File name:</strong> <i>Leaf_Trait_Species_Pub.txt)</i></li><li><strong>Sub-title 3: </strong>Canopy and total leaf area index from evergreen forests, regrowth forests, and cashew plantation in Kulen, Cambodia. (<strong>File name: </strong><i>LAI_Pub.txt </i>)</li></ol>
Figure 2 in Coral cover percentage and health condition in Tioman Island marine protected area, Pahang, Malaysia
Figure 2. Classify the conservation of coral reef growth in Tiong Point, Tekek and Renggis Island.
Snow cover simulations and avalanche dynamics simulations for the area of Davos, Switzerland (2011-2014)
<p>Alpine3D model simulations of the snow cover at 100m resolution for the area surrounding Davos for the period October 2010 to September 2014.</p> <p>Avalanche dynamics simulations using the RAMMS-Extended model of 169 selected avalanches in the same period, using initial conditions as simulated by the Alpine3D model.</p> <p>This dataset belongs to:</p> <p>Wever, N., Vera Valero, C., and Techel, F. (2018): <em>Coupled snow cover and avalanche dynamics simulations to evaluate wet snow avalanche activity</em>, J. Geophys. Res. Earth Surf., 123, 1772–1796 <a href="https://doi.org/10.1029/2017JF004515">doi: 10.1029/2017JF004515.</a></p>
Burnt Area and Land Cover in South-West Pará, Brazil, 2014 to 2020.
<p>This dataset BLCM.zip contains the Burnt Area and Land Cover Maps (BLCM) described in:</p> <p>Jakimow, B., Baumann, H., Salomão, C., Bendini, H. & Hostert, P. (2023). Deforestation and agricultural fires in South-West Pará, Brazil, under political changes from 2014 to 2020. Journal of Land Use Science. <a href="https://doi.org/10.1080/1747423X.2023.2195420">https://doi.org/10.1080/1747423X.2023.2195420</a></p> <p>The raster maps have use the BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 project. See <a href="https://github.com/measures-glance/glance-grids">https://github.com/measures-glance/glance-grids</a> for details.</p> <table> <thead> <tr> <th scope="col">File</th> <th scope="col">Content</th> </tr> </thead> <tbody> <tr> <td>MAP_BLCM_<year>.tif</td> <td>BLCM map for <year></td> </tr> <tr> <td>MAP_YoD.tif</td> <td>year of deforestation raster</td> </tr> <tr> <td>AOI.gpkg</td> <td>Polygon of Area of Interest used in Jakimow et al. (2023)</td> </tr> <tr> <td>wkt.txt</td> <td>WKT string for BU MEaSUREs Lambert Azimuthal Equal Area - SA - V01 coordinate reference system</td> </tr> <tr> <td>BLCM.qgs</td> <td>QGIS Project file to visualize these map, generated with QGIS 3.30</td> </tr> <tr> <td> </td> <td> </td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p>
Land cover classification using Landsat (MSS) data for the Central Arizona-Phoenix area - year 1979
This land cover classification map was created using Landsat MSS data from the year 1979. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1985
This land cover classification map was created using Landsat TM data from the year 1985. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1991
This land cover classification map was created using Landsat TM data from the year 1991. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1995
This land cover classification map was created using Landsat TM data from the year 1995. The map covers the area of the Central Arizona-Phoenix Long Term Ecological Research study.
Land cover classification of the Central Arizona-Phoenix area using Landsat Thematic Mapper (TM) data - year 1990
Land cover classification for the Central Arizona-Phoenix CAP LTER study region using Landsat Thematic Mapper (TM) data - for the year 1990
Land cover classification of the CAP LTER study area at five-year intervals from 1985 to 2010 using Landsat imagery
The project aims to facilitate the long-term environmental change monitoring and social-ecological studies regarding urban sprawl and dynamics, urban heat islands, and outdoor water consumption, etc. Six land-use/land-cover (LULC) maps at 30 m resolution are created from 1985 to 2010 at five year intervals. Systematic object-based classification is utilized to ensure the map consistency and direct comparison capability over time. In the result, 11 land-use/land-cover classes are identified with an overall accuracy of 92.1%.
Fractional Snow Covered Area at Ny-Ålesund (Svalbard, Norway) 2015-2019
<p>The produced dataset (in netCDF v4 format) contains the estimation of the Factional Snow Cover (FSC) in different sites located in Svalbard islands. We considered areas that complete the already available datasets and we focused the attention to the Ny-Ålesund area (Svalbard - Norway) (78.917° N, 11.933° E) where different facilities are available for supporting the use of terrestrial photography. One asset is the Zeppelin observatory, located on a panoramic spot where cameras are operating since 2000, and one is the Climate Change Tower (CCT) where we deployed a camera in 2018 (Figure 1). While the Zeppelin camera, operated by the Norwegian Polar Institute, offers a long time-series coupled with a pan-tilt-zoom device (4 different views daily), the CCT device was installed in order to cover the hidden side of the coastal plain not visible from the observatory. Furthermore, the CCT camera provided highly spatial and time resolved (hourly) images that were also below the cloud layer.</p>
Viewable Snow Covered Area Validation Masks over Rugged and Forested Terrain
<p>These data are maps of viewable snow cover generated from panchromatically sharpened cloud-free WorldView-2 and -3 data within 2 days of a Landsat 8 OLI acquisition or near-nadir MODIS acquisition. The spatial resolution of these validation data ranges from 0.34 m to 0.55 m, depending on the view angle of WorldView. ValKey.csv shows the list of validation dates and the corresponding Landsat 8 OLI and MODIS imagery. Validation images from December to June were selected to account for variability in illumination conditions, snow cover, and snow albedo. The imagery spans diverse locations across California’s Sierra Nevada that represent the heavily forested western slope, higher elevation regions, and drier eastern slopes. The WorldView images range from well illuminated alpine scenes above the tree line in June to heavily shadowed scenes below the tree line in December. The snow-covered WorldView pixels are assumed to be pure endmembers of 100% snow, which are then coarsened to Landsat or MODIS spatial resolutions and provided here as geotiffs. Neither WorldView, Landsat, nor MODIS can see through thick tree canopies, so the data is comprised of snow that an optical sensor identifies. Complete methods used to generate the dataset are available in the companion publication: tbd</p> <p>Binary snow cover maps at the native worldview resolution are unsigned 8 bit integers with fill pixels set to zero, snow pixels set to one, and snow free pixels set to two.</p> <p>Fill Pixels [0]</p> <p>Snow Covered Pixels [1]</p> <p>Snow Free Pixels [2]</p> <p>Fractional snow covered area geotiffs in the projections and at the spatial resolution of Landsat 8 and MODIS products are signed 16-bit integers with a fill value of -32768. The divisor and offset are 1000 & 0 respectively.</p> <p>Fractional snow covered area [0-1000)] (divisor of 1000 and offset of 0 for measurement range of 0-1)</p> <p>Fill Pixels [-32768]</p>
Relationships between a common Caribbean corallivorous snail and protected area status, coral cover, and predator abundance
<p>As coral populations decline across the Caribbean, it is becoming increasingly important to understand the forces that inhibit coral survivorship and recovery. Predation by corallivores, such as the short coral snail <i>Coralliophila abbreviata</i>,are one threat to the health of reefs worldwide, but understanding of the factors controlling corallivore populations, and therefore corallivore predation pressure, remains limited. To examine the extent to which bottom-up (i.e., coral prey) and top-down (i.e., predators) forces relate to <i>C. abbreviata </i>distributions, we surveyed <i>C. abbreviata </i>abundance, percent coral cover, and the abundance of potential snail predators across six protected and six unprotected reefs in the Florida Keys. We found that <i>C. abbreviata </i>abundance was lower in protected areas, which had more diverse predator assemblages, and that across all sites snail abundance generally increased with coral cover. <i>C. abbreviata </i>abundance had strong, negative relationships with two gastropod predators in particular - the Caribbean spiny lobster (<i>Panulirus argus</i>) and the grunt black margate (<i>Anisotremus surinamensis</i>). Further, we found the size of <i>C. abbreviata </i>was also related to reef protection status, with larger <i>C. abbreviata </i>on average in protected areas, suggesting these gape-limited predators may alter size distributions by targeting small snails. Combined, these results provide preliminary evidence that marine protection in the Florida Keys may be a mechanism available to preserve critical trophic interactions that indirectly promote coral success via control of local populations of the common corallivore <i>C. abbreviata.</i></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.