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ShareScore release 0.7.1
Dataset results
24 results for “wetland map”
Gross Primary Production Maps of Tidal Wetlands across Conterminous USA, 2000-2019
This dataset provides mapped tidal wetland gross primary production (GPP) estimates (g C/m2/day) derived from multiple wetland types at 250-m resolution across the conterminous United States at 16-day intervals from March 5, 2000, through November 17, 2019. GPP was derived with the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower GPP data into a single Bayesian framework along with Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets. Tidal wetlands are a critical component of global climate regulation. Tidal wetland-based carbon, or "blue carbon," is a valued resource that is increasingly important for restoration and conservation purposes.
Mapping Area of Habitat (AOH) for inland wetland species
<p>Data and Rscripts to accompany the submission of the manuscript titled 'Mapping Area of Habitat (AOH) for inland wetland species' for publication.</p> <p>Abstract:</p> <p>1. Area of Habitat (AOH) maps enable a high resolution representation of the habitat available within a species’ range, and can support various conservation policy and planning processes. However, until recently, there was insufficient knowledge on the distribution of inland wetland habitats and freshwater biodiversity to develop AOH mapping methods specifically tailored to inland wetland habitats.</p> <p>2. We used a combined empirical and thematic approach to translate inland wetland habitat classes in the IUCN Habitats Classification Scheme into spatially explicit wetland cover using the Global Lakes and Wetlands Database (GLWD) version 2 and the World Karst Aquifer Map (WOKAM). AOH was subsequently estimated as the area within the mapped range that corresponded to each species’ habitat and elevation associations. The method was developed and tested using IUCN Red List assessment data, range maps and point locality data for four taxonomic groups: 22,876 species of fishes, odonates, decapod crustaceans and molluscs.</p> <p>3. The method performed well in comparison to similar methods already developed for terrestrial mammals, birds, amphibians, and reptiles. The mean map prevalence (proportion of area within a species’ range that was AOH) was between 18% and 32% for each taxonomic group. Using data on known localities of occurrence, between 78% and 100% of species per taxonomic group had a higher classification accuracy than expected if AOH were distributed within the range at random. This represents an increased accuracy in our understanding of wetland species’ distributions.</p> <p>4. This study represents the first attempt to distinguish between inland wetland habitat sub-classes, and to include subterranean habitats in an AOH mapping method. Our method will facilitate the inclusion of previously under-represented taxa in key conservation tools and analyses, and is expected to increase the accuracy of AOH mapping for any species associated with inland wetland habitats.</p>
Distribution. Discontinuous and limited to wetland environments from S Republic of the Congo through C DR Congo and SW Tanzania, S to Zambia, Angola, and Botswana. Maps and distributional information here are provisional pending future research. in Bovidae
Distribution. Discontinuous and limited to wetland environments from S Republic of the Congo through C DR Congo and SW Tanzania, S to Zambia, Angola, and Botswana. Maps and distributional information here are provisional pending future research.
The refined annual 10-m wetland maps of Dongting Lake wetland during 2015~2021
<p>The wetland maps include 8 wetland classes and 5 non-wetland classes, with a spatial resolution of 10m.</p>
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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.