Found 44 datasets matching "Spatial Clustering".
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These data were used for preparation of Sargeant et al. (2021), "Spatial network clustering reveals elk population structure and local variation in the prevalence of chronic wasting disease." ...
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This file contains statistics on the spatial clustering of the internal rate of return for residential rooftop solar over a 20 year period. Specifically, the IRR per roof was calculated using...
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The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design....
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The analysis-ready data described here result from performing hierarchical clustering of individual coral bleaching surveys conducted across the Hawaiian Archipelago in 2015. In order to resolve...
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The analysis-ready data described here result from performing hierarchical clustering of individual coral bleaching surveys conducted across the Hawaiian Archipelago in 2015. In order to resolve...
Search relevance: 48.39 | Views last month: 0 -
This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
Search relevance: 47.39 | Views last month: 0 -
The analysis-ready data described here result from performing hierarchical clustering of individual coral bleaching surveys conducted across the Hawaiian Archipelago in 2014, 2015, and 2019. In...
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The analysis-ready data described here result from performing hierarchical clustering of individual coral bleaching surveys conducted across the Hawaiian Archipelago in 2014, 2015, and 2019. In...
Search relevance: 43.62 | Views last month: 0 -
This dataset includes microseismic surface network catalogs for Utah FORGE. Data were recorded during the stimulation of well 16A(78)-32 in 2022 and the circulation tests between wells 16A(78)-32...
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We produced 13 hierarchically nested cluster levels that reflect the results from developing a hierarchical monitoring framework for greater sage-grouse across the western United States. Polygons...
Search relevance: 37.96 | Views last month: 0 -
This dataset provides spatial predictions of clustering and the genotype association index for the Mojave genotype in local species-environment relationships of Desert Tortoises (Gopherus agassizi...
Search relevance: 37.76 | Views last month: 2 -
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and stored...
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The data described here result from the application of a down-scaling method to NOAA National Coral Reef Monitoring Program (NCRMP) benthic cover data, in an attempt by the Pacific Islands...
Search relevance: 32.65 | Views last month: 0 -
The data described here result from the application of a down-scaling method to NOAA National Coral Reef Monitoring Program (NCRMP) benthic cover data, in an attempt by the Pacific Islands...
Search relevance: 32.09 | Views last month: 0 -
This data release contains the input-data files and R scripts associated with the analysis presented in [citation of manuscript]. The spatial extent of the data is the contiguous U.S. The...
Search relevance: 31.44 | Views last month: 11 -
Landsat classification of surface water for multiple seasons to monitor inundation of playa wetlands
To improve understanding of the distribution of important, ephemeral wetland habitats across the Great Plains, we documented the occurrence and distribution of surface water in playa wetland...
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This table contains the X-ray source catalog in the Subaru/XMM-Newton Deep Survey (SXDS). A continuous area of 1.14 deg<sup>2</sup> centered at R.A.= 02h 18m and Dec =- 05 degrees is mapped by...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
Search relevance: 30.84 | Views last month: 0 -
We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
Search relevance: 30.84 | Views last month: 0 -
We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
Search relevance: 30.84 | Views last month: 0