269 results — topic: Groundwater

Dataset

Leaf mass per area and leaf water content measurements from field survey in association with NEON AOP survey, East River, CO 2018. A Multiscale Approach to Modeling Carbon and Nitrogen Cycling within a High Elevation Watershed.

Leaf area, wet, and dry weights for leaf samples from sites where field sampling was conducted during the 2018 National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) imaging spectroscopy and lidar surveys in Gunnison County, Colorado. The sampling sites were located acros

Chadwick K D, Grant K, Henderson A2020DOI: 10.15485/1618132
Dataset

U-Pb zircon data for: The Poncha Pass and Deadman Creek areas, northern Sangre de Cristo Mountains of south-central Colorado

Geologic mapping, characterization of geologic structures, and sampling for geochronology was completed in two areas of the northwestern Sangre de Cristo Mountains from 2011 through 2017. This data release provides the raw analytical data, metadata and sample information for 20 zircon U-Pb age analy

Christopher S Holm-Denoma2019
Dataset

U-Pb zircon data for: The Poncha Pass and Deadman Creek areas, northern Sangre de Cristo Mountains of south-central Colorado

Geologic mapping, characterization of geologic structures, and sampling for geochronology was completed in two areas of the northwestern Sangre de Cristo Mountains from 2011 through 2017. This data release provides the raw analytical data, metadata and sample information for 20 zircon U-Pb age analy

Christopher S Holm-Denoma2019
Dataset

Data from: Early snowmelt projected to cause population decline in a subalpine plant

How climate change influences the dynamics of plant populations is not well understood, as few plant studies have measured responses of vital rates to climatic variables and modeled the impact on population growth. I used 25 years of demographic data to analyze how survival, growth, and fecundity re

Campbell, Diane R.2019DOI: 10.5061/dryad.3mp7f6fCited 1 times
Dataset

Using strontium isotopes to evaluate the spatial variation of groundwater recharge, Science of The Total Environment: Dataset

Data tables used in Christensen et al. 2018 Using strontium isotopes to evaluate the spatial variation of groundwater recharge, Science of The Total Environment, 637-638, 672-685 DOI: 10.1016/j.scitotenv.2018.05.019 Files include Sr and U isotopic (87Sr/86Sr and 234U/238U) and concentration data for

Brown, Shaun, Dafflon, Baptiste, Dong, Wenming2019DOI: 10.21952/wtr/1495381
Dataset

Data from: The individual and combined effects of snowmelt timing and frost exposure on the reproductive success of montane forbs

1. Changes from historic weather patterns have affected the phenology of many organisms worldwide. Altered phenology can introduce organisms to novel abiotic conditions during growth and modify species interactions, both of which could drive changes in reproduction. 2. We explored how climate change

Pardee, Gabriella L., Jensen, Isaac O., Inouye, David W.2019DOI: 10.5061/dryad.kd1r166Cited 1 times
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
Dataset

DEFUNCT:_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 interact

Osenga, E.C.2018DOI: 10.5281/zenodo.1294071
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
Dataset

DEFUNCT:_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 interact

Osenga, E.C.2018DOI: 10.5281/zenodo.1294071
Dataset

dataRetrieval

The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS)

Laura A DeCicco, Robert M Hirsch, David Lorenz2018DOI: 10.5066/p9x4l3geCited 15 times
Dataset

Selected water-level data for the shallow aquifer system in the Lower Gunnison River Basin, Colorado

This point dataset contains water-level information concerning depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system at selected well and borehole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Color

Arnold, L.R.2017
Dataset

Potentiometric-surface altitude contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of contours showing the generalized altitude of the potentiometric surface for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Potentiometric-surface altitude was contoured from values in the raster da

Arnold, L.R.2017
Dataset

Selected geologic data for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This point dataset contains geologic information concerning regolith thickness and top-of-bedrock altitude at selected well and test-hole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith-thickness data were compiled from lithologic logs

Arnold, L.R.2017