1,426 results

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

Priority Faults for Improving Seismic Hazard Models in the Intermountain West Region

Abstract This data release includes a list of high-priority hazardous faults and associated spatial data (regional polygons and buffered fault traces) for the Intermountain West (IMW) region of the United States. These are the top five faults or regions of concern per IMW state, based on the 2025 (v

Christopher B Duross2025DOI: 10.5066/p13xvwr7
Dataset

Data from: Betting on rains that do not come: Monsoon failure and leaf area overshoot relate to increased tree mortality from drought

Structural overshoots, where biomass is overallocated to tree leaf area compared to sapwood area, could result in lethal stress during droughts. Climate change may alter climatic cues that drive leaf area production, such as temperature and precipitation, as well as seasonal dynamics that underlie s

Kerr, Kelly, Anderegg, Leander, Trugam, Anna2025DOI: 10.5061/dryad.vt4b8gv3q
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

Data from: Drivers of spring migration phenology in Rocky Mountain elk

By migrating, ungulates take advantage of cyclical fluctuations in resources, which allows them to persist at greater population numbers than they would in the absence of these seasonal movements. We sought to identify the drivers of spring elk (Cervus canadensis) migration and evaluate how well ind

Crews, Storm, Rayl, Nathaniel, Alldredge, Mathew2025DOI: 10.5061/dryad.v41ns1s71Cited 1 times
Dataset

AmeriFlux US-UR4 Gunnison - UCRB

This is the AmeriFlux version of the carbon flux data for the site US-UR4 Gunnison - UCRB. Site Description - This site is located in Gunnison, Colorado, within a floodplain at a notable elevation. The region experiences cold winters with significant snow cover and cool summers. The ecosystem is hom

Neale, Christopher2025DOI: 10.17190/amf/2998638
Dataset

SnowEx20 Grand Mesa IOP Ground-Based Passive Microwave Radiometer Measurements, Version 1

Durand, Michael, Marshall, Hans-Peter2025DOI: 10.5067/0mtam5o32mi7
Dataset

Life History and Demography of Astragalus microcymbus

Astragalus microcymbus, the skiff milkvetch, is a perennial forb endemic to Gunnison and Saguache counties in Colorado, United States. In 1995 Denver Botanic Gardens scientists began monitoring individual A. microcymbus plants to track longevity and reproductive rates, ultimately recording plant len

Levy, Richard, DePrenger-Levin, Michelle, Levy, Richard2025DOI: 10.15468/8qjy56
Dataset

Global Bee Interaction Data

Last modified: January 09, 2025 IntroductionThis dataset comprises all bee interactions indexed by Global Biotic Interactions (GloBI; Poelen et al. 2014). It is published quarterly by the Big Bee Project (Seltmann et al. 2021) to summarize all available knowledge about bee interactions from natural

Seltmann, Katja C, Poelen, Jorrit H., Global Biotic Interaction Community2025DOI: 10.5281/zenodo.14624975Cited 1 times
Dataset

Airborne Magnetic and Radiometric Survey, Colorado Mineral Belt, Mid Block, 2023

This data release provides digital flight-line and gridded data for a high-resolution airborne magnetic and radiometric survey over the central portion of the Colorado Mineral Belt, central Colorado. The Colorado Mineral Belt is a broad, northeast-southwest trending alignment of historic mining dist

United States Geological Survey2025DOI: 10.5066/p13gzynt
Dataset

Recreational trail traffic counts and trail proximity as a driver of ungulate landscape utilization

With continual growth in recreational trail use, it is becoming increasingly complicated to balance demands for outdoor recreation opportunities with wildlife conservation. To better understand how mule deer (Odocoileus hemionus) and Rocky Mountain elk (Cervus canadensis) respond to trail-based recr

Beaupre, Chloe, Bevan, Alissa, Young, Jessica R.2025DOI: 10.5061/dryad.80gb5mkz9Cited 1 times
Dataset

Data for: Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change

Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic

Campbell, Diane, Powers, John, Kipness, Justin2025DOI: 10.5061/dryad.ht76hdrtnCited 2 times
Dataset

Scripts and data to produce figures for the SVS2 paper submitted to GMD

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

Vionnet, Vincent, Leroux, Nicolas, Royer, Alain2025DOI: 10.5281/zenodo.16760831
Dataset

Scripts and data to produce figures for the SVS2 paper submitted to GMD

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

Vionnet, Vincent, Leroux, Nicolas, Royer, Alain2025DOI: 10.5281/zenodo.16760830Cited 1 times
Dataset

Scripts and data to produce figures for the SVS2 paper submitted to GMD

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

Vionnet, Vincent, Leroux, Nicolas, Royer, Alain2025DOI: 10.5281/zenodo.16782503
Dataset

Genomic and Transcriptomic Analysis of the Whirling Disease-Resistant Gunnison River Rainbow Trout - Supplementary Data

Supplementary tables and figures

Gharamah, Abdullah2025DOI: 10.17632/33smdhvmxp
Dataset

Genomic and Transcriptomic Analysis of the Whirling Disease-Resistant Gunnison River Rainbow Trout - Supplementary Data

Supplementary tables and figures

Gharamah, Abdullah2025DOI: 10.17632/33smdhvmxp.1
Dataset

Rapid Geomorphic Assessment Data for the Upper East River Watershed, Brown and Calumet Counties, Wisconsin

The East River is an agricultural tributary to the Lower Fox River and the Environmental Protection Agency (EPA) Green Bay Area of Concern (AOC) in northeast Wisconsin. This tributary has known excessive phosphorus (P) and suspended sediment loads that contribute to habitat related impairments and d

James D Blount, Heidi M Broerman, Faith A Fitzpatrick2025DOI: 10.5066/p14ghnmvCited 2 times
Dataset

60-meter Segment Stream Network of the Upper East River Watershed, Brown County, Wisconsin

The East River is an agricultural tributary to the Lower Fox River and the Environmental Protection Agency (EPA) Green Bay Area of Concern (AOC) in northeast Wisconsin. This tributary has known excessive phosphorus (P) and suspended sediment loads that contribute to habitat related impairments and d

Heidi M Broerman, James D Blount, Faith A Fitzpatrick2025DOI: 10.5066/p144a5jsCited 1 times
Dataset

Replication data for Fig 4.1, Gunnison uterine litter size vs litter size at first juvenile emergence, 19 Sept 2025.

FILE DESCRIPTION File name = Fig 4.1, Gunnison uterine litter size vs litter size at first juvenile emergence, 19 Sept 2025. These data used for Fig 4.1 (top and bottom) in Hoogland 2026. Top graph: Number of different uterine litter sizes for GPDs in late pregnancy, all determined by using a Sonosi

Hoogland, John2025DOI: 10.48579/pro/9uaecr