241 results — topic: Soil Science

Dataset

In-situ electrochemical and water quality data; Slate River and East River floodplains, Crested Butte, CO; May 2022-September 2022.

This data package includes a time-series of field measurements from May to September 2022 in groundwater and surface water from the Slate River and East River floodplains in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the

Samuel Pierce, Kristin Boye2023DOI: 10.15485/1896309Cited 1 times
Dataset

Data from the assessment of sediment-retention ponds near Delta, Colorado, 2019

In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed usi

Richards, Rodney J2022DOI: 10.5066/p9wznjl6Cited 1 times
Dataset

Leaf gas exchange in Ipomopsis aggregata under manipulated snowmelt timing and summer precipitation

Vegetative traits of plants can respond directly to changes in the environment, such as those occurring under climate change. That phenotypic plasticity could be adaptive, maladaptive, or neutral. We manipulated the timing of spring snowmelt and amount of summer precipitation in factorial combinatio

Navarro, Jocelyn, Powers, John, Paul, Ayaka2022DOI: 10.7280/d12h50Cited 4 times
Dataset

Sulfur x-ray absorption spectroscopy data from bedrock shale, soil, and floodplain sediment from the East River, Colorado watershed.

This dataset includes sulfur x-ray absorption near edge spectroscopy (XANES) data collected on solid samples as a part of the Watershed Function Scientific Focus Area (SFA) located in the Upper Colorado River Basin. The data were collected in order to investigate the speciation of sulfur and degree

Fox, P, Carrero, S, Anderson, C2022DOI: 10.15485/1860454Cited 1 times
Dataset

Stable isotopes of carbon dioxide (CO2), dissolved inorganic carbon (DIC), water and concentrations of greenhouse gases in a mountainous watershed (Crested Butte, Colorado).

Temperature and precipitation variability in response to climate change affects water cycling of watersheds and can potentially impact water quality, water availability, elemental and molecular fluxes, and biogeochemical processes. Here we report the measurements of light stable isotopes and greenho

Bill, M2022DOI: 10.15485/1861892
Dataset

SnowEx20 Grand Mesa Autumn 2019 Gravimetric Soil Moisture, Version 1

Brucker, Ludovic, White, Alex, Lewis, Michael2021DOI: 10.5067/wfy6k8nkreiv
Dataset

SnowEx20 Grand Mesa In Situ Dielectric Soil Moisture, Version 1

Cosh, Michael2021DOI: 10.5067/fwuzu0ftzkyi
Dataset

Data release for Surficial Geology of the Northern San Luis Valley, Saguache, Fremont, Custer, Alamosa, Rio Grande, Conejos, and Costilla Counties, Colorado

The San Luis Valley and associated underlying basin of south-central Colorado and north-central New Mexico is the largest structural and hydrologic basin of the Rio Grande Rift and fluvial system. The surrounding San Juan and Sangre de Cristo Mountains reveal evidence of widespread volcanism and tra

Ruleman, Chester A, Brandt, Theodore R2021DOI: 10.5066/p9putqyk
Dataset

SnowEx20 Grand Mesa Autumn 2019 Gravimetric Soil Moisture, Version 1

Brucker, Ludovic, White, Alex, Lewis, Michael2021DOI: 10.5067/wfy6k8nkreiv
Dataset

SnowEx20 Grand Mesa In Situ Dielectric Soil Moisture, Version 1

Cosh, Michael2021DOI: 10.5067/fwuzu0ftzkyi
Dataset

Data release for Surficial Geology of the Northern San Luis Valley, Saguache, Fremont, Custer, Alamosa, Rio Grande, Conejos, and Costilla Counties, Colorado

The San Luis Valley and associated underlying basin of south-central Colorado and north-central New Mexico is the largest structural and hydrologic basin of the Rio Grande Rift and fluvial system. The surrounding San Juan and Sangre de Cristo Mountains reveal evidence of widespread volcanism and tra

Ruleman, Chester A, Brandt, Theodore R2021DOI: 10.5066/p9putqyk
Dataset

Effects of flowers on land surface albedo and soil microclimate

The phenology of vegetation, namely leaf-out and senescence, can influence the Earth’s climate over regional spatial scales and long time periods (e.g., over 30 years or more), in addition to microclimates over local spatial scales and shorter time periods (weeks to months). However, the effects of

Iler, Amy2021DOI: 10.5061/dryad.zcrjdfn8mCited 1 times
Dataset

Total metals & anion concentration data; Slate River floodplain, Crested Butte, CO; May 2020-September 2020

This data package includes processed and undiluted measurements for metal and anion concentrations from pore water (groundwater) samples from the Slate River floodplain of Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the w

Pierce, Samuel, Bargar, John2021DOI: 10.15485/1810547
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature, alkalinity and sulfide in-situ data; Slate River floodplain, Crested Butte, CO; May 2020-October 2020

This data package includes a time-series of field measurements from May to October 2020 in groundwater and surface water from the Slate River floodplain in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting th

Pierce, Samuel, Bargar, John2021DOI: 10.15485/1813302Cited 1 times
Dataset

Biomass Inventories at Harvard Forest EMS Tower since 1993

In 1993, we installed 40 circular, 10 m radius biometric plots in the footprint of the EMS tower on Prospect Hill. We randomly placed the plots within 100 m increments along ten 500 m transects that extend from the tower in the northwest and southwest directions. In 2001, we removed three plots (G3,

Munger, William, Wofsy, Steven2021DOI: 10.6073/pasta/5c2f17c295413da2a2a091fd7696af40Cited 1 times
Dataset

Qinayan/Soil-thickness: Soil thickness estimation

This release includes Python codes and associated field sampling and remote sensing data for the estimation of the spatial distribution of soil thickness in two hillslopes in the Pump House area in the East River Watershed in the CO., the U.S.

Qina2021DOI: 10.5281/zenodo.4445383
Dataset

Surface soil temperature and water content from warming experiment located at the Rocky Mountain Biological Laboratory, Colorado, 2015 to 2019

This data package consists of soil temperature and soil water content sensor data from the warming experiment near the Rocky Mountain Biological Laboratory. Data range is from summer 2015 to summer 2019, when the warming manipulation was terminated. The location of the warming experiment is in the u

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842908
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907