7 datasets found
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Federal
Metabolic-hydaulic model Data
Department of the Interior —
The data contained in this workbook were compiled to investigate the relationship between hydrology of the Colorado River and ecosystem metabolism parameters (i.e.,... -
Federal
Modeled Stream Metabolism in Boulder Creek near Boulder, CO (2016 - 2018)
Department of the Interior —
This data release is associated with a journal article titled, "Aquatic-Terrestrial Linkages Control Metabolism and Carbon Dynamics in a Mid-sized, Urban Stream... -
Federal
Stream metabolism estimated from dissolved oxygen data in Connecticut streams, 2015-18
Department of the Interior —
This dataset provides details from stream metabolism models for 11 stream sites in Connecticut that were monitored during 2015-2018 by the U.S. Geological Survey.... -
Federal
Modeled Stream Metabolism in Boulder Creek near Boulder, CO (2016 - 2018)
Department of the Interior —
The data presented here was collected adjacent to USGS stream gage 06730200 and includes both observed and modeled values. Dissolved oxygen, dissolved carbon dioxide,... -
Federal
Stream metabolism estimates for the Regional Stream Quality Assessments of the National Water Quality Program, 2013 to 2016
Department of the Interior —
This dataset provides details from stream metabolism models for 20 stream sites in the United States that were sampled as part of the National Water Quality Program's... -
Federal
Water stargrass biomass, stream metabolism estimates, and nutrient data quality control data for the lower Yakima River: June 2018 through September 2020 (ver. 2.0, August 2025)
Department of the Interior —
This dataset provides information collected at three stream monitoring sites on the lower Yakima River in Washington State from June 2018 through September 2020 by... -
Federal
Mapping average GPP, RE, and NEP for 2000 to 2013 using satellite data integrated into regression-tree models in the conterminous United States
Department of the Interior —
Integrating spatially explicit biogeophysical and remotely sensed data into regression-tree models enables the spatial extrapolation of training data over large...
7 datasets found