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1,133 results for “wetlands”
Fig. 2C in Enumeration of Herpetofaunal assemblage of Surajpur Wetland, National Capital Region (India)
Fig. 2C. Skittering Frog Euphlyctis cyanophlyctis.
Fig. 2J in Enumeration of Herpetofaunal assemblage of Surajpur Wetland, National Capital Region (India)
Fig. 2J. Spotted Supple Skink Lygosoma punctata.
Fig. 2N in Enumeration of Herpetofaunal assemblage of Surajpur Wetland, National Capital Region (India)
Fig. 2N. Checkered Keelback Xenochrophis piscator.
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>
EPA Priority 9 Wetland 5 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 23 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p> <p> </p>
EPA Priority 9 Wetland 2 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 25 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
EPA Priority 9 Wetland 4 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 10 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
EPA Priority 9 Wetland 3 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 90 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p> <p> </p>
EPA Priority 9 Wetland 1 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 141 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields. This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
Priority 9 Wetland 4 (NDVI) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 23 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 3 (NDVI) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 49 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 5 (NDVI) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 39 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 1 (NDVI) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 289 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 2 (NDVI) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 118 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 3 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 90 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 4 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 10 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (30-2F-311184-R-5), NASA Guam Space Grant (30-2F-315105-R), and PI-CASC (30-2F-315100-R-5).</p>
Priority 9 Wetland 2 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 25 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Priority 9 Wetland 5 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 23 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (30-2F-311184-R-5), NASA Guam Space Grant (30-2F-315105-R), and PI-CASC (30-2F-315100-R-5).</p>
Priority 9 Wetland 1 (RGB) - Yona, Guam
<p>This orthomosaic of Yona, Guam was created from 141 images taken on August 15 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Pix4D Fields.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Figure 3 in Mosquitofish life history in a Mediterranean wetland
Figure 3. Number of annuli by scale observation for both females and males of different size.
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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.