154 results — topic: Data Science & Modeling

Dataset

Dissolved-Selenium Concentrations and Loads in the Lower Gunnison River Basin, Colorado, as Part of the Selenium Management Program (ver. 5.0, September 2025)

The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation, completed a review of dissolved selenium data collected from the Selenium Management Program network during each water year (WY) in the lower Gunnison River Basin, in western Colorado. The data tables include dissolved

Mark F Henneberg, Patrick C Longley, Joel W Homan2021DOI: 10.5066/p92uis8x
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

Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data for Billy Barr, East River, Colorado USA

A comprehensive Quality Assurance (QA) and Quality Control (QC) statistical framework consists of three major phases: Phase 1—Preliminary raw data sets exploration, including time formatting and combining datasets of different lengths and different time intervals; Phase 2—QA of the datasets, includi

Boris Faybishenko, Roelof Versteeg, Gilberto Pastorello2021DOI: 10.15485/1823516
Dataset

Bee phenology is predicted by climatic variation and functional traits

Climate change is shifting the environmental cues that determine the phenology of interacting species. Plant-pollinator systems may be susceptible to temporal mismatch if bees and flowering plants differ in their phenological responses to warming temperatures. While the cues that trigger flowering a

Stemkovski, Michael2021DOI: 10.5061/dryad.t76hdr7zcCited 2 times
Dataset

The effect of demographic correlations on the stochastic population dynamics of perennial plants

Understanding the influence of environmental variability on population dynamics is a fundamental goal of ecology. Theory suggests that, for populations in variable environments, temporal correlations between demographic vital rates (e.g., growth, survival, reproduction) can increase (if positive) or

Compagnoni, Aldo2021DOI: 10.5061/dryad.mp935Cited 1 times
Dataset

Data for Context-dependent biotic interactions control plant abundance across altitudinal environmental gradients, 2014, 2016, Colorado, USA.

Many biotic interactions influence community structure, yet most distribution models for plants have focused on plant competition or used only abiotic variables to predict plant abundance. Furthermore, biotic interactions are commonly context-dependent across abiotic gradients. For example, plant-pl

Joshua S Lynn, Melanie R Kazenel, Stephanie N Kivlin2021DOI: 10.6073/pasta/953d0af267ddb6a0ddb970bff3218a61
Dataset

Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset.

This data package contains simulation results of daily evapotranspiration for 17 locations of meteorological stations with different precipitation, air temperature and vegetation within the East River Watershed, Colorado (CLMResult.csv). Daily precipitation data is included for reference. These are

Tran A P, Rungee J, Faybishenko B2021DOI: 10.15485/1727258
Dataset

Estimated Darcy Velocities Using Temperature Time Series for Meander A of East River, Colorado.

Heat was used as a tracer to quantify seasonal changes in vertical Darcy velocity through the streambed at three different locations about Meander A of East River, Colorado. The file Raw_Temp.csv represents raw temperature data (in degrees Celsius) collected from the three locations, A, B, and C, at

Bryant S, Briggs M, Nelson A2021DOI: 10.15485/1498798Cited 1 times
Dataset

Plant species distribution within the Upper Colorado River Basin estimated by using hyperspectral and LiDAR airborne data.

This package is part of the Watershed Function SFA project and contains a remote sensing dataset acquired at the East River, Colorado. The remote sensing dataset is composed of vegetation maps computed from hyperspectral and LiDAR airborne data acquired by the NEON team in June 2018. The maps show t

Falco N, Balde A, Breckheimer I2021DOI: 10.15485/1602034Cited 3 times
Dataset

Groundwater level elevation and temperature across Meander C at the Lower Montane in the East River Watershed, Colorado.

This groundwater level elevation and temperature data package is aimed at improving the predictive understanding of hydro-biogeochemical processes at the lower montane site in the East River Watershed, Colorado. The dataset is obtained using pressure transducers placed in shallow wells in the floodp

Dafflon B, Malenda H, Dwivedi D2021DOI: 10.15485/1647041Cited 1 times
Dataset

Groundwater level elevation and temperature at the Lower Montane in the East River Watershed, Colorado.

This groundwater level elevation and temperature data package is aimed at improving the predictive understanding of hydro-biogeochemical processes at the lower montane site in the East River Watershed, Colorado. The dataset is obtained using pressure transducers placed in shallow wells in the floodp

Dafflon B, Dwivedi D2021DOI: 10.15485/1647040Cited 1 times
Dataset

Modeling the impact of riparian hollows on river corridor nitrogen exports

This package contains all reactive transport simulation outputs used in "Modeling the impact of riparian hollows on river corridor nitrogen exports" (Rogers, D.B., et al., 2021). The simulation outputs reflect hydrological and biogeochemical behavior of a single, generalized riparian hollow located

Rogers D B, Newcomer M, Raberg J2021DOI: 10.15485/1734795
Dataset

NEON AOP foliar trait maps, maps of model uncertainty estimates, and conifer map, East River, CO 2018.

This data package contains mapped trait estimates and their uncertainties, and conifer map, for the National Ecological Observatory Network's Airborne Observation Platform survey data acquired over the Upper East River, Colorado in 2018. For full details, please see associated reference. in brief, t

Chadwick K D, Brodrick P, Grant K2021DOI: 10.15485/1618133
Dataset

1 m Resolution Multiscale Height-above-stream Wetness Index for the Upper Gunnison Domain

This map is a soil moisture proxy derived from analysis of the UG 1m hydrologically corrected digital elevation model. The intuition behind this map is that areas that have flat topography and are near the elevation of local streams are likely to have high soil moisture. This index builds on the wor

Nobre, A. D., Cuartas, L. A., Hodnett2021
Dataset

1 m Resolution 4-band orthomosaic for the Upper Gunnison Basin derived from September 2019 NAIP Imagery

This is a 1m resolution aerial imagery orthomosaic resampled from 0.6m 4-band orthoimagery collected on September 14th 2019 as part of the USDA National Aerial Imagery Program. The original NAIP tiles were reprojected, mosaiced and bilinearly resampled to the standard UG 1m grid, and compressed usin

Ian Breckheimer2021
Dataset

1 m Resolution WGS84 UTM Zone 13N Y Coordinate for the Upper Gunnison Domain

This map records the UTM Y Coordinate (in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regression models

Ian Breckheimer2021
Dataset

1 m Resolution WGS84 UTM Zone 13N X Coordinate for the Upper Gunnison Domain

This map records the UTM X Coordinate (measured in meters) for every pixel in the Upper Gunnison Domain, as measured using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613). This map is useful for spatial prediction in models that explicitly incorporate geographic relationships, such as regressi

Ian Breckheimer2021
Dataset

1 m Resolution Canopy Height Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

This is a map of vegetation canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the original point clouds using a pit-free algorithm implemented in the R package lidR. The ground-classified

Ian Breckheimer2021
Dataset

Snow Depth on April 7th 2019 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times
Dataset

Snow Depth on March 31st 2018 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times