Soil Environmental Conditions in the East River Watershed, CO
Abstract
This dataset contains depth-resolved soil environmental variables collected between June 2016 and October 2018 from the Bradley Meadow site in the East River watershed. Datalogger output from 7 Campbell CS655 12 cm Soil Moisture and Temperature Sensors including depth, temperature, volumetric water content, and electrical conductivity are included in ‘BM_Merged_T_VWC_0616_10_18.csv’. Sensors were installed in June 2016. Data have been processed to merge raw sensor data and to remove additional variables. No additional QA/QC was performed. Measured pCO2 and depth are contained in ‘BM_EGM_WELL_CO2.csv’. These data represent gas well samples measured via injection using a PP Systems EGM-5 infra-red gas analyzer as described in the methods section. Measured CO2 surface flux values are contained in 'BM_EGM_Surface_Flux.csv'. These were measured using the PP Systems EGM-5 with the Soil Respiration Chamber attachment. Multiple reps are reported for each measurement including CO2 flux rate calculations using built-in linear and quadratic function methods, and average and standard deviations are taken across all reps and calculation methods.
- Authors:
-
- University of Massachusetts Amherst; University of Massachusetts Amherst
- US Geological Survey
- Stanford University
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; Development of a molecularly informed biogeochemical framework for reactive transport modeling of subsurface carbon inventories, transformations and fluxes
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > LAND SURFACE > SOILS > ELECTRICAL CONDUCTIVITY; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL GAS/AIR; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL TEMPERATURE
- OSTI Identifier:
- 1660455
- DOI:
- https://doi.org/10.15485/1660455
Citation Formats
Winnick, Matthew, Lawrence, Corey, and Maher, Kate. Soil Environmental Conditions in the East River Watershed, CO. United States: N. p., 2019.
Web. doi:10.15485/1660455.
Winnick, Matthew, Lawrence, Corey, & Maher, Kate. Soil Environmental Conditions in the East River Watershed, CO. United States. doi:https://doi.org/10.15485/1660455
Winnick, Matthew, Lawrence, Corey, and Maher, Kate. 2019.
"Soil Environmental Conditions in the East River Watershed, CO". United States. doi:https://doi.org/10.15485/1660455. https://www.osti.gov/servlets/purl/1660455. Pub date:Tue Dec 31 23:00:00 EST 2019
@article{osti_1660455,
title = {Soil Environmental Conditions in the East River Watershed, CO},
author = {Winnick, Matthew and Lawrence, Corey and Maher, Kate},
abstractNote = {This dataset contains depth-resolved soil environmental variables collected between June 2016 and October 2018 from the Bradley Meadow site in the East River watershed. Datalogger output from 7 Campbell CS655 12 cm Soil Moisture and Temperature Sensors including depth, temperature, volumetric water content, and electrical conductivity are included in ‘BM_Merged_T_VWC_0616_10_18.csv’. Sensors were installed in June 2016. Data have been processed to merge raw sensor data and to remove additional variables. No additional QA/QC was performed. Measured pCO2 and depth are contained in ‘BM_EGM_WELL_CO2.csv’. These data represent gas well samples measured via injection using a PP Systems EGM-5 infra-red gas analyzer as described in the methods section. Measured CO2 surface flux values are contained in 'BM_EGM_Surface_Flux.csv'. These were measured using the PP Systems EGM-5 with the Soil Respiration Chamber attachment. Multiple reps are reported for each measurement including CO2 flux rate calculations using built-in linear and quadratic function methods, and average and standard deviations are taken across all reps and calculation methods.},
doi = {10.15485/1660455},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2019},
month = {Tue Dec 31 23:00:00 EST 2019}
}
