Found 23 datasets matching filters.
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Hydrology Graphs This repository contains the code for the manuscript "A Graph Formulation for Tracing Hydrological Pollutant Transport in Surface Waters." There are three main folders containing...
Search relevance: 1.00 | Views last month: 1 | Published on: 2025-08-02 -
Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-01-27 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
nv_lvl1_finescale: Nevada hierarchical cluster level 1 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Genetic networks can characterize complex genetic relationships among groups of individuals, which can be used to rank nodes most important to the overall connectivity of the system. Ranking...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-02-27 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
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: 1.00 | Views last month: 0 | Published on: 2026-03-03
