402 results — topic: Geochemistry & Isotopes

Dataset

SPLASH Field Study; Snow-level Radar FMCW Moments at Kettle Ponds, Colorado, 2021-09-29 to 2023-09-06 (NCEI Accession 0289123)

From fall 2021 through summer 2023, NOAA and research partners conducted a field study (SPLASH - the Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology). This field study established a state-of-the-art observing network in the East River watershed of the Colorado mountains

NCEI2024DOI: 10.25921/cgta-2v72
Dataset

Scaling landscape fire history in sagebrush: Wildfires not historically frequent in the main population of threatened Gunnison Sage-grouse

The main population of 5,000 Threatened Gunnison sage-grouse (GUSG; Centrocercus minimus) in Colorado depends on sagebrush that are killed by wildfires, with recovery taking decades, so frequent fire is a threat, but did it occur historically? Early land surveys showed that the historical (preindust

Baker, William L.2024DOI: 10.5281/zenodo.10492640
Dataset

NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data

The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON

Tristan Goulden, H. Marshall Worsham, Bridget Hass2024DOI: 10.15485/2403350
Dataset

NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data

The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON

Tristan Goulden, H. Marshall Worsham, Bridget Hass2024DOI: 10.15485/2403350
Dataset

NEON AOP Survey of Upper East River CO Watersheds: Waveform LiDAR Binary Data

The waveform Light Detection and Ranging (LiDAR) data in this package were generated through a National Ecological Observatory Network Airborne Observation Platform (NEON AOP) acquisition over watersheds of interest surrounding Crested Butte, Colorado. The remote sensing imagery acquired by the NEON

Tristan Goulden, H. Marshall Worsham, Bridget Hass2024DOI: 10.15485/2403350
Dataset

Total metal, carbon, anion, iron speciation, and sulfide concentrations; Slate River, East River, and Trail Creek surface water and floodplains, Crested Butte, CO; May 2023–August 2023

This data package comprises analytical results and metadata from stream and groundwater samples collected from the Slate River, East River, Trail Creek, and their respective floodplains. This dataset contains five files: (1) a samples file (2023_SFA_Field_samples.csv) that contains site information;

Sam Pierce, Lizzy Paulus, Eoin Brodie2024DOI: 10.15485/2429339
Dataset

Data associated with Quaternary Research manuscript Latest Pleistocene glacial chronology and paleoclimate reconstruction for the East River watershed, Colorado, USA

The data here are associated with Quaternary Research manuscript Latest Pleistocene glacial chronology and paleoclimate reconstruction for the East River watershed, Colorado, USA and include data associated with cosmogenic exposure and depth profile dating as well as glacier-climate numerical modeli

Brendon Quirk, Isaac Larsen, Alan Hidy2024DOI: 10.15485/2316162
Dataset

Total metal, carbon, anion, iron speciation, and sulfide concentrations; Slate River, East River, and Trail Creek surface water and floodplains, Crested Butte, CO; May 2023–August 2023

This data package comprises analytical results and metadata from stream and groundwater samples collected from the Slate River, East River, Trail Creek, and their respective floodplains. This dataset contains five files: (1) a samples file (2023_SFA_Field_samples.csv) that contains site information;

Sam Pierce2024DOI: 10.15485/2429339
Dataset

Total metal, carbon, anion, iron speciation, and sulfide concentrations; Slate River, East River, and Trail Creek surface water and floodplains, Crested Butte, CO; May 2023–August 2023

This data package comprises analytical results and metadata from stream and groundwater samples collected from the Slate River, East River, Trail Creek, and their respective floodplains. This dataset contains five files: (1) a samples file (2023_SFA_Field_samples.csv) that contains site information;

Sam Pierce, Lizzy Paulus, Eoin Brodie2024DOI: 10.15485/2429339
Dataset

Total metal, carbon, anion, iron speciation, and sulfide concentrations; Slate River, East River, and Trail Creek surface water and floodplains, Crested Butte, CO; May 2023–August 2023

This data package comprises analytical results and metadata from stream and groundwater samples collected from the Slate River, East River, Trail Creek, and their respective floodplains. This dataset contains five files: (1) a samples file (2023_SFA_Field_samples.csv) that contains site information;

Sam Pierce, Lizzy Paulus, Eoin Brodie2024DOI: 10.15485/2429339
Dataset

Total metal, carbon, anion, iron speciation, and sulfide concentrations; Slate River, East River, and Trail Creek surface water and floodplains, Crested Butte, CO; May 2023–August 2023

This data package comprises analytical results and metadata from stream and groundwater samples collected from the Slate River, East River, Trail Creek, and their respective floodplains. This dataset contains five files: (1) a samples file (2023_SFA_Field_samples.csv) that contains site information;

Sam Pierce, Lizzy Paulus, Eoin Brodie2024DOI: 10.15485/2429339
Dataset

Geophysical and Environmental Monitoring Data, and Subsurface Flow Modelling Results for Chicken Bone Meadow, Mt. Snodgrass, Crested Butte, CO

This dataset includes geoelectrical monitoring data acquired between October 2021 and November 2022, soil moisture and temperature data, groundwater data obtained from borehole SNIB covering the period from June 2021 to September 2022, and hydrological modelling results. The data were acquired to in

Sebastian Uhlemann, Baptiste Dafflon, Chunwei Chou2024DOI: 10.15485/2283406Cited 2 times
Dataset

Groundwater and Surface Water Flow (GSFLOW) model files to explore bedrock circulation depth and porosity in Copper Creek, Colorado

This data package contains integrated hydrological model input and output files for Copper Creek, Colorado (24 km2), a tributary of the East River located in the headwaters of the Upper Colorado River Basin. The model code is the U.S. Geological Survey (USGS) Groundwater and Surface Water Flow (GSFL

Rosemary Carroll, Kenneth Williams2024DOI: 10.15485/2453885Cited 1 times
Dataset

Daily water stable isotopes, transpiration, and matrix potential data for an aspen and engelmann stand in the East River Watershed

We provide daily stable isotope (2H & 18O) ratios in soil water and xylem (plant stem) water, as well as the sap flow (transpiration) and the soil's matric potential at a forested site near Gothic, Colorado, in the East River catchment. We measured the stable isotopic composition of the transpi

Matthias Sprenger, Stefan Seeger, Max Berkelhammer2024DOI: 10.15485/2462766Cited 1 times
Dataset

A field-validated ensemble species distribution model of Eriogonum pelinophilum, an endangered subshrub in Colorado, USA

Understanding the suitable habitat of endangered species is crucial for agencies such as the Bureau of Land Management to plan management and conservation. However, few species distribution models are directly validated, potentially limiting their application. In preparation for a Species Status Ass

Zimmer, Scott2023DOI: 10.5061/dryad.dfn2z357c
Dataset

A field-validated ensemble species distribution model of Eriogonum pelinophilum, an endangered subshrub in Colorado, USA

Understanding the suitable habitat of endangered species is crucial for agencies such as the Bureau of Land Management to plan management and conservation. However, few species distribution models are directly validated, potentially limiting their application. In preparation for a Species Status Ass

Zimmer, Scott2023DOI: 10.5061/dryad.dfn2z357cCited 1 times
Dataset

Soil water content, matric potential, carbon dioxide and oxygen concentrations, Oct 2018-Dec 2021, Slate River Floodplain, Crested Butte, Colorado

This data package includes a time series of soil sensor data (temperature, water content, bulk electrical conductivity, porewater dissolved oxygen and porewater dissolved carbon dioxide) in a vertical profile from the Slate River floodplain outside Crested Butte, Colorado, a focus field site for the

Perzan, Zach, Maher, Kate, Boye, Kristin2023DOI: 10.15485/1958210Cited 1 times
Dataset

Herbarium-Derived Phenological Data in North America

We present infrastructure for developing large-scale and long-term phenological datasets across multiple herbaria, as well as a sample dataset that has been acquired from the digital archives of 440 distinct herbaria across North America and further processed to evaluate phenological status. This da

Park, Isaac, Mazer, Susan, Ellison, Aaron Ellison2023DOI: 10.25349/d9wp6sCited 6 times
Dataset

Manual soil CO2 flux, temperature and water content measurements from the Snodgrass and Copper Creek elevation transect

The manual_soil_measurements_2022_2023.csv data set contains all of the manually measured soil CO 2 efflux, volumetric water content and soil temperature during field visits to the Rocky Mountain Biological Laboratory. In 2022, 16 PVC collars were installed at each site, there are two sets of collar

Simonpietri, Austin, Richardson, Andrew D., Carbone, Mariah2023DOI: 10.6084/m9.figshare.24171702
Dataset

Manual soil CO2 flux, temperature and water content measurements from the Snodgrass and Copper Creek elevation transect

The manual_soil_measurements_2022_2023.csv data set contains all of the manually measured soil CO 2 efflux, volumetric water content and soil temperature during field visits to the Rocky Mountain Biological Laboratory. In 2022, 16 PVC collars were installed at each site, there are two sets of collar

Simonpietri, Austin, Richardson, Andrew D., Carbone, Mariah2023DOI: 10.6084/m9.figshare.24171702.v1