Search datasets
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National Park Service Unit Centroid Points.
Search relevance: 1.00 | Views last month: 25 | Catalog Last Checked: July 10, 2026 at 01:30 PM -
National Park Service Unit tract polygons
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We established a network of 121 plots distributed within the 2020 SQF, 2020 Rattlesnake, and 2021 KNP complex fire footprints (extracted from Fire and Resource Assessment Program (FRAP),...
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Dataset contains 32 terrestrial lidar scans of conifer forests and associated shapefile of locations in Sequoia and Kings Canyon National parks from the summer of 2022. These scans were co-located...
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The Wet Meadows and Fens Geodatabase of Sequoia and Kings Canyon National Parks (SEKI) was produced over a three month period (late February through early May 2013). The resulting products are...
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Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy...
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Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government...
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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at...
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The Landfire 2016 data product has been modified to allow for fires occurring in 2017-2020 in Sequoia and Kings Canyon National Parks. 2017-2019 fires were modified based on extended burn...
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Bat Inventory Data for Sequoia and Kings Canyon National Parks and Devils Postpile National Monument
This dataset resulted from an inventory of bats in Sequoia and Kings Canyon National Parks and Devils Postpile National Monument between 2001 and 2006. It also includes records representing...
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This dataset provides estimates of the proportion of basal area that survived along with burn severity indices for 585 plots following four large fires in California, including the Carr (2018),...
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Vegetation structure and fuels data are essential for understanding fire behavior following management treatments such as mechanical thinning and prescribed burning. To evaluate these processes,...
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National Park Service unit boundaries.
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This dataset represents inputs into a spatial model associated with a publication that assesses trends and vulnerabilities in the mutalism between whitebark pine (Pinus albicaulis) and Clark’s...
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Post-fire vegetation structure and fuels data are essential for understanding the recovery process after major disturbances. To meet this need, 40 plots within and around the perimeter of the 2021...
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