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Federal
Site cluster information for journal article "Classifying Metal Soil Concentrations with Bayesian Networks: Urban Background in the Southeastern United States"
U.S. Environmental Protection Agency —
This dataset contains the site clusters identified from a Bayesian network analysis with data clustering. Original data used for identifying clusters came from the... -
Federal
MODIS Aqua 8-Day 1 km Composite Northwest Atlantic
National Oceanic and Atmospheric Administration, Department of Commerce —
Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua 8-Day 1 km Composite ocean color and sst calculation by SeaDas; Regridded to Mercator lon/lat projection.... -
Federal
Informing Future Risks of Record‐Level Rainfall in the United States
U.S. Environmental Protection Agency —
One supplemental file, one link to a repository where the complete matlab code can be found to reproduce the study (41 files). Citation information for this dataset... -
Federal
Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk
Department of Energy —
In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in... -
Federal
S&T Project 22071 Report
Department of the Interior —
In this study, we aim to improve understanding of heavy snowfall events across the Western United States by exploring the following three components of analysis. The... -
Federal
qfasar: Quantitative Fatty Acid Signature Analysis in R
Department of the Interior —
An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in R. QFASA is a method of estimating the diet composition of predators. The fundamental unit...