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A Conodont Biostratigraphic and Color Alteration Index Dataset for New England: Maine, Vermont, Massachusetts, and parts of eastern New York, USA A Conodont Biostratigraphic and Color Alteration Index Dataset for New England: Maine, Vermont, Massachusetts, and parts of eastern New York, USA
For decades, researchers have recognized the functionality of using conodont elements in biostratigraphic investigations. A growing need now exists, however, for a digital dataset of fossil data. The New England conodont dataset is the region's first publicly accessible digital collection of previously published U.S. Geological Survey (USGS) conodont paleontological data and Color...
Index Velocity Rating Example Datasets Index Velocity Rating Example Datasets
These data are a compilation of example index velocity ratings used at USGS streamgaging stations. Each directory contains seven comma-delimited files consisting of a read me, the hydrographer developed rating, a table of discharge measurements used to develop the velocity rating, a mixture model analysis, statistically recommended rating, and the variance covariance matrix for both the
National Cross-Section Database (NXSDB), Water Year 2022 (schema version 1.2.0, September 2025) National Cross-Section Database (NXSDB), Water Year 2022 (schema version 1.2.0, September 2025)
This data release presents a national cross-section (XS) database (NXSDB) of bathymetric cross-sections collected during water year (WY) 2022 (October 1, 2021, to September 30, 2022). The WY 2022 NXSDB has been approved by the U.S. Geological Survey (USGS) for publication and supersedes the provisional versions. The data were collected by hydrographers during routine site visits to...
National Cross-Section Database (NXSDB), Water Year 2023 (schema version 1.2.0, September 2025) National Cross-Section Database (NXSDB), Water Year 2023 (schema version 1.2.0, September 2025)
This data release presents a national cross-section (XS) database (NXSDB) of bathymetric cross-sections collected during water year (WY) 2023 (October 1, 2022, to September 30, 2023). The WY 2023 NXSDB has been approved by the U.S. Geological Survey (USGS) for publication and supersedes the provisional version. The data were collected by hydrographers during routine site visits to...
Data release for Remotely Sensed Surface Water Storage Shows Distinct Patterns from SWAT-Simulated Data (ver. 2.0, February 2026) Data release for Remotely Sensed Surface Water Storage Shows Distinct Patterns from SWAT-Simulated Data (ver. 2.0, February 2026)
Understanding and projecting the downstream benefits of terrestrial surface water storage, i.e., volumetric water stored in lakes and wetlands (SWstorage) requires watershed hydrologic models. Use of external datasets to calibrate and validate modeled SWstorage dynamics remains uncommon, particularly across major river basins. Here, we: (1) develop and assess the utility of a novel...
Machine Learning Model: Estimates of Metal Abundance in Global Seafloor Massive Sulfide Deposits Machine Learning Model: Estimates of Metal Abundance in Global Seafloor Massive Sulfide Deposits
A multi-stage ensembled machine learning model was developed to estimate metal abundances in seafloor massive sulfide deposits worldwide. The modeling framework integrates (1) KMeans++ clustering to identify geochemical groupings based on enrichment controls, (2) Random Forest classification to assign geochemical labels to vent fields with incomplete or absent geochemical data, and (3)...