402 results — topic: Geochemistry & Isotopes

Dataset

Total dissolved-solid loads in the Upper Colorado River Basin during high-flow hydrologic events from 2021 to 2023

This U.S. Geological Survey (USGS) data release contains data that allows for calculation of total dissolved-solid loads for high-flow and baseflow conditions in the Upper Colorado River Basin (UCRB) collected between 2021 and 2023. High-flow hydrologic events are critical periods for salinity trans

Destry N DiViesti, Casey Root, Scott A Hynek2026DOI: 10.5066/p1hc6ocb
Dataset

Total dissolved-solid loads in the Upper Colorado River Basin during high-flow hydrologic events from 2021 to 2023

This U.S. Geological Survey (USGS) data release contains data that allows for calculation of total dissolved-solid loads for high-flow and baseflow conditions in the Upper Colorado River Basin (UCRB) collected between 2021 and 2023. High-flow hydrologic events are critical periods for salinity trans

Destry N DiViesti, Casey Root, Scott A Hynek2026DOI: 10.5066/p1hc6ocb
Dataset

Seasonal Precipitation Classification during Surface Atmosphere Integrated Field Laboratory Campaign

The Surface Atmosphere Integrated Field Laboratory (SAIL) campaign, conducted from September 2021 to June 2023 in Crested Butte, Colorado, aimed to characterize precipitation processes in the Upper Colorado River Basin (UCRB). This increased observations of snowfall accumulation in this hydrological

Raut, Bhupendra, O'Brien, Joseph, Sherman, Zachary2026DOI: 10.5439/2530631
Dataset

Meteorological and Soil Data from Ecohydrology Sensor Towers at Pump House and Snodgrass Mountain in East River Watershed, Colorado, 2019-2025

This data package includes hourly meteorological and soil sensor data at eight ecohydrology monitoring sites in East River Watershed, Colorado as part of the Watershed Function Scientific Focus Area (WFSFA) research led by Lawrence Berkeley National Lab (LBNL). Four field sites were located on the h

Wu, Yuxin, Chou, Chunwei, Beutler, Curtis2026DOI: 10.15485/3007697Cited 1 times
Dataset

Herbarium specimens reliably track plant phenological responses to climate change in understudied montane biomes

File: Peng_et_al._20206.zip Description: There are three folders here. The Data folder contains the raw specimen phenology data and the RMBL phenology data. The Analyses folder contains the data frames used to build the linear mixed-effects models. The Codes folder contains R codes

peng, shijia, Inouye, Brian, Ramirez-Parada, Tadeo Hernan2026DOI: 10.5281/zenodo.18866958
Dataset

Herbarium specimens reliably track plant phenological responses to climate change in understudied montane biomes

File: Peng_et_al._20206.zip Description: There are three folders here. The Data folder contains the raw specimen phenology data and the RMBL phenology data. The Analyses folder contains the data frames used to build the linear mixed-effects models. The Codes folder contains R codes

peng, shijia, Inouye, Brian, Ramirez-Parada, Tadeo Hernan2026DOI: 10.5281/zenodo.18866957
Dataset

CHESS 2025: Field-collected vegetation attributes and site photos

This dataset represents field observations of vegetation samples collected as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Samples were collected in the field using tablet computers and digital forms, with target data differing by sample type (i

Breckheimer, Ian, Carroll, Erin, Chadwick, K. Dana2026DOI: 10.15485/3014404
Dataset

CHESS 2025: Leaf Area Index (LAI) for meadow, shrub, tree, and understory vegetation

This dataset contains Leaf Area Index (LAI) measurements made as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Data were collected in the Upper Gunnison Basin, Colorado, across three study domains: the Upper East River (CRBU), Almont Triangle (AL

Todorov *, Sophia, Worsham *, H. Marshall, Breckheimer, Ian2026DOI: 10.15485/3022242
Dataset

CHESS 2025: Location data for field observations and sampling

This dataset represents geolocation data associated with field observations and sampling from the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Location data were collected using Trimble DA2 Global Navigation Satellite System (GNSS) receivers with Trimble Ca

Henderson, Amanda, Breckheimer, Ian, Falco, Nicola2026DOI: 10.15485/3022418
Dataset

Depth-resolved sagebrush root metabolomics, rhizosphere microbial communities, and geochemistry at the East River Watershed

This data set consists of results from soil nutrient profile, untargeted metabolomics, mass spec imaging, and amplicon sequencing. Data for soil nutrient profile includes common cations (Ca, Mg, Na, and K etc.) extracted from 3 digesting steps – ammonia acetate (for exchangeable cations), nitric aci

Li, Langlang, Munoz, Nathalie, Velickovic, Dusan2026DOI: 10.15485/3021477
Dataset

Passive and Active Seismic Data Collected Near Beaver Pond Locations in Storrs, CT; Willington, CT; and Gunnison County, CO in 2025

This data release documents seismic data collected immediately adjacent to beaver ponds and in their surrounding floodplain environments using active and passive seismic measurements at three sites. These sites are located in the University of Connecticut (UConn) Forest in Storrs, Connecticut; Fento

Annie E Tucker, Yeonju Kim, Lijing Wang2026DOI: 10.5066/p1lgt6kx
Dataset

Mountain Basin Controls on the Snow-to-Streamflow Signal: An AIC-Weighted Multiple Linear Regression Framework

A regression-based analysis quantifies how basin characteristics modulate the snow-to-streamflow signal. First, we use the ERA5-Land reanalysis gridded product (European Centre for Medium Range Weather Forecasts reanalysis 5 -Land component) for 4,655 hydrologic unit code - 10 (HUC10) mountain basin

Carroll, Rosemary, Gordon, Beatrice, Siirila-Woodburn, Erica2026DOI: 10.15485/2998373
Dataset

Surface Water Quality Data from Beaver-Impacted Streams; Trail Creek and East River, Colorado 2025

This data package contains surface water chemistry measurements collected in 2025 to evaluate how beaver damming and low-tech process-based stream restoration influence water quality and metal mobility in mountainous headwater systems of the Upper Colorado River Basin. Sampling was conducted at Trai

Sam Pierce, Jessica Pall2026DOI: 10.15485/3022760
Dataset

Data from Stewart et al. 2026 "Organic Colloid Composition in Variable-Redox Porewaters within a Mountainous Floodplain"

Redox gradients, often driven by changes in sediment moisture levels in porous, heterogeneous groundwater systems, create dynamic conditions that may promote the production and transport of colloids within natural waters. While much research has focused on the inorganic composition of colloids, the

Brandy Stewart, Vincent Noel, Kristin Boye2026DOI: 10.15485/3016270
Dataset

Data From: "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater"

This repository contains the data and code associated with the paper titled "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater," published in Nature Geoscience, 2026. This study seeks to answer how various ages of groundwater interact with mountainous streamflo

Erica Siirila-Woodburn, Nicholas Thiros, Michelle Newcomer2026DOI: 10.15485/3013287
Dataset

Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"

The data set consists of strontium (Sr) isotope ratios (87Sr/86Sr), water isotopes, soil cation concentrations, soil water potential sensor data, and results of 87Sr/86Sr mixing model. The plant canopy size files include the dataset of canopy dimension of sagebrush, lupine, and sunflower. The soil a

Langlang Li, John Christensen, Markus Bill2026DOI: 10.15485/2998779Cited 1 times
Dataset

Cosmogenic Nuclide Burial Isochron Data for the Central City Gravel, Malta Gravel, and Lava Creek B Ash Locations: Classic Locations of Early to Middle Pleistocene Deposits, South Platte and Arkansas Rivers, Central Colorado, USA

This data release includes Al-26/Be-10 cosmogenic nuclide concentrations and burial isochron ages for three locations in central Colorado, USA, with preferred burial ages ranging from ~2 Ma to 600 ka, that provide constraints on geologic mapping and chronostratigraphic correlations of Pleistocene Co

Cal Ruleman2025
Dataset

Cosmogenic Nuclide Burial Isochron Data for the Central City Gravel, Malta Gravel, and Lava Creek B Ash Locations: Classic Locations of Early to Middle Pleistocene Deposits, South Platte and Arkansas Rivers, Central Colorado, USA

This data release includes Al-26/Be-10 cosmogenic nuclide concentrations and burial isochron ages for three locations in central Colorado, USA, with preferred burial ages ranging from ~2 Ma to 600 ka, that provide constraints on geologic mapping and chronostratigraphic correlations of Pleistocene Co

Chester A. Ruleman, Rachel N Sortor, Adam M Hudson2025DOI: 10.5066/p14tggx4
Dataset

Cosmogenic Nuclide Burial Isochron Data for the Central City Gravel, Malta Gravel, and Lava Creek B Ash Locations: Classic Locations of Early to Middle Pleistocene Deposits, South Platte and Arkansas Rivers, Central Colorado, USA

This data release includes Al-26/Be-10 cosmogenic nuclide concentrations and burial isochron ages for three locations in central Colorado, USA, with preferred burial ages ranging from ~2 Ma to 600 ka, that provide constraints on geologic mapping and chronostratigraphic correlations of Pleistocene Co

Cal Ruleman2025
Dataset

Cosmogenic Nuclide Burial Isochron Data for the Central City Gravel, Malta Gravel, and Lava Creek B Ash Locations: Classic Locations of Early to Middle Pleistocene Deposits, South Platte and Arkansas Rivers, Central Colorado, USA

This data release includes Al-26/Be-10 cosmogenic nuclide concentrations and burial isochron ages for three locations in central Colorado, USA, with preferred burial ages ranging from ~2 Ma to 600 ka, that provide constraints on geologic mapping and chronostratigraphic correlations of Pleistocene Co

Chester A. Ruleman, Rachel N Sortor, Adam M Hudson2025DOI: 10.5066/p14tggx4