220 results — topic: Field Methods & Monitoring

Dataset

Depth profiles of soil CO2 Concentrations, soil temperature, and soil moisture (Rocky Mountain Biological Laboratory, Gothic, Colorado, 2011-2016)

Soil respiration (the flux of CO2 from the soil surface) is one of the largest and most variable fluxes in the global carbon cycle, and yet also one of the least understood, primarily due to methodological difficulties. These are (1) measuring soil respiration at high temporal frequencies and (2) at

Carbone, Mariah2021DOI: 10.6084/m9.figshare.7834406.v1
Dataset

Phenological responses to multiple environmental drivers under climate change: insights from a long-term observational study and a manipulative field experiment

Climate change has induced pronounced shifts in the reproductive phenology of plants, yet we know little about which environmental factors contribute to interspecific variation in responses and their effects on fitness. We integrate data from a 43-year record of first flowering for six species in su

Wadgymar, Susana M.2021DOI: 10.5061/dryad.qr5vdCited 1 times
Dataset

Depth and elevation of floodplain fine sediment along the East River near Crested Butte, Colorado measured in 2016 and 2017.

The depth of floodplain fine sediment was measured at 1,601 points along the East River near Crested Butte, Colorado spanning a study reach approximately 800 m in length in 2016 and 2017. These depths are being used to estimate the volume of floodplain sediment present along the study reach, convert

Sutfin N, Rowland J2021DOI: 10.15485/1574502
Dataset

Hillslope subsurface flow and transport data for the PLM transect in East River, Colorado.

This file contains data used to calculate subsurface flow and transport at the Pumphouse Lower Montane (PLM) hillslope transect. Information includes locations, weather data, hydraulic conductivities, hydraulic head profiles, soil water profiles, depths to the water table, specific conductance (SC)

Tokunaga T, Carroll R, Conrad M2021DOI: 10.21952/WTR/1506941Cited 1 times
Dataset

Soil Nitrogen, Water Content, Microbial Biomass, and Archaeal, Bacterial and Fungal Communities from the East River Watershed, Colorado collected in 2016-2017.

This data set contains soil measurements made at the Pumphouse Hillslope to Floodplain transect at the locations of the early snowmelt-timing manipulation experiments in the East River Watershed in Colorado, USA. The data were collected in 2016 and 2017 to determine soil microbial responses to snow

Sorensen P, Brodie E, Beller H2021DOI: 10.15485/1577267Cited 3 times
Dataset

Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset.

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more com

Wan J, Tokunaga T K, Williams K H2021DOI: 10.15485/1601290
Dataset

NEON AOP Imaging Spectroscopy Survey of Upper East River Colorado Watersheds: Raw-Space Radiance and Observational Variable Dataset.

Lawrence Berkeley National Laboratory (LBNL) contracted the National Ecological Observatory Network Airborne Observation Platform (NEON AOP) to observe watersheds of interest near Crested Butte, CO with remotely sensed data including imaging spectroscopy. The flight box design encompassed the waters

Goulden T, Hulslander D, Hass B2021DOI: 10.15485/1617204
Dataset

Groundwater level elevation and temperature across Meander C at the Lower Montane in the East River Watershed, Colorado.

This groundwater level elevation and temperature data package is aimed at improving the predictive understanding of hydro-biogeochemical processes at the lower montane site in the East River Watershed, Colorado. The dataset is obtained using pressure transducers placed in shallow wells in the floodp

Dafflon B, Malenda H, Dwivedi D2021DOI: 10.15485/1647041Cited 1 times
Dataset

Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA.

This dataset includes sapflux and stable water isotopes of soil water and xylem water for aspen, fir and spruce trees along the Snodgrass Mountain transect in the East River Watershed, Colorado USA. The purpose of generating this dataset was to understand: (1) the total flux of water being used by t

Berkelhammer M2021DOI: 10.15485/1647654
Dataset

Groundwater level elevation and temperature at the Lower Montane in the East River Watershed, Colorado.

This groundwater level elevation and temperature data package is aimed at improving the predictive understanding of hydro-biogeochemical processes at the lower montane site in the East River Watershed, Colorado. The dataset is obtained using pressure transducers placed in shallow wells in the floodp

Dafflon B, Dwivedi D2021DOI: 10.15485/1647040Cited 1 times
Dataset

Soil Environmental Conditions in the East River Watershed, CO.

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

Winnick M, Lawrence C, Maher K2021DOI: 10.15485/1660455
Dataset

Custom NEON AOP reflectance mosaics and maps of shade masks, canopy water content.

This mosaic of visible to shortwave infrared (VSWIR) data was derived from the assignable asset NEON AOP radiance data that was collected by LBNL s Watershed Function SFA during the summer of 2018 (DOI: 10.15485/1617204). This atmospheric correction was completed to take into account site-specific t

Philip Brodrick, Tristan Goulden, K. Dana Chadwick2021DOI: 10.15485/1618131
Dataset

Contiguous U.S. annual snow persistence and trends from 2001-2020

Snow persistence (SP) or the snow cover index (SCI), is the fraction of time that snow is present on the ground for a defined period. Cloud covered index (CCI) is the fraction of time that there is no data, cloud, or sensor saturation for the same period. SP and CCI were calculated on a pixel by pix

Hammond, John C2020DOI: 10.5066/p9u7u5fpCited 1 times
Dataset

Iron_Soil_Moisture_Uncalibrated_2013_2017

These data are the complete data set from installation through Dec 31, 2017 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consists of 9 stations in the Southern Rockies (Colorado, USA). Descriptions of soil type and site locations can be found at: www.agci.org/iron/stat

Osenga, E2018DOI: 10.5281/zenodo.1228346
Dataset

Iron_Soil_Moisture_Uncalibrated_2013_2017

These data are the complete data set from installation through Dec 31, 2017 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consists of 9 stations in the Southern Rockies (Colorado, USA). Descriptions of soil type and site locations can be found at: www.agci.org/iron/stat

Osenga, E2018DOI: 10.5281/zenodo.1250549
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1250551
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1267762
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets .*** These data are the complete data set from installation through March 15, 2018 for AGCI's interactive Roaring Fork Observation Network (iRON). The network consis

Osenga, E.C.2018DOI: 10.5281/zenodo.1267846
Dataset

Iron_Soil Moisture_Calibrated_2013 To 2018

*** An error has been caught in time codes. The time codes currently read GMT-5:00. The CORRECT time code is GMT-7:00 for all datasets . Files with FullRecord in the name are in correct, UTC time codes *** These data are the complete data set from installation through March 15, 2018 for AGCI's inter

Osenga, E.C.2018DOI: 10.5281/zenodo.1271667