269 results — topic: Groundwater

Dataset

Selected water-level data for the shallow aquifer system in the Lower Gunnison River Basin, Colorado

This point dataset contains water-level information concerning depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system at selected well and borehole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Color

Arnold, L.R.2017
Dataset

Potentiometric-surface altitude contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of contours showing the generalized altitude of the potentiometric surface for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Potentiometric-surface altitude was contoured from values in the raster da

Arnold, L.R.2017
Dataset

Selected geologic data for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This point dataset contains geologic information concerning regolith thickness and top-of-bedrock altitude at selected well and test-hole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith-thickness data were compiled from lithologic logs

Arnold, L.R.2017
Dataset

Geospatial datasets of regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, Delta, Montrose, Ouray, and Gunnison Counties, Colorado

Thirteen geospatial datasets were developed to characterize the shallow groundwater system in the Lower Gunnison River Basin, Colorado. These geospatial datasets provide information about regolith thickness and altitude of the bedrock surface underlying regolith and display, in vector and raster for

Arnold, Larry R.2017DOI: 10.5066/f70863s6
Dataset

Data from: Integrating viability and fecundity selection to illuminate the adaptive nature of genetic clines

Genetically-based trait variation across environmental gradients can reflect adaptation to local environments. However, natural populations that appear well-adapted often exhibit directional, not stabilizing, selection on ecologically-relevant traits. Temporal variation in the direction of selection

Wadgymar, Susana M., Daws, S. Caroline, Anderson, Jill2017DOI: 10.5061/dryad.tr05qCited 1 times
Dataset

Cottonwood Lake Study Area - Invertebrate Counts

This dataset contains macroinvertebrate sampling data for the wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This dataset is part of the Missouri Coteau Wetland Ecosystem Observatory database that is a collection of abiotic and biotic data documenting biotic and abiotic r

Mushet, David M., Euliss, Ned, Solensky, Matthew2017DOI: 10.5066/f7bk1b77Cited 6 times
Dataset

Regolith-thickness contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of isopach contours showing the generalized thickness of regolith sediments (alluvium, colluvium, and weathered bedrock) overlying well-consolidated bedrock in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Regolith thickness was cont

Colorado Water Science Center2017
Dataset

Saturated-thickness contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of contours showing the generalized saturated thickness of the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Saturated thickness was contoured from values in the raster dataset satthk. The U.S. Geologica

Colorado Water Science Center2017
Dataset

Depth-to-water contours for the shallow groundwater system in the Lower Gunnison River Basin, Colorado

This dataset consists of contours showing the generalized depth to water for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Depth to water was contoured from values in the raster dataset dtw. The U.S. Geological Survey pre

Colorado Water Science Center2017
Dataset

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

Large uncertainties characterize forest development under global climate change. Although recent studies have found widespread increased tree mortality, the patterns and processes associated with tree death remain poorly understood, thus restricting accurate mortality predictions. Yet, projections o

Hülsmann, Lisa, Bugmann, Harald K.M., Commarmot, Brigitte2016DOI: 10.5061/dryad.h4s6tCited 1 times
Dataset

Data from: Community assembly and functional diversity along succession post-management

1. Despite extensive development of successional theory, few empirical studies have evaluated whether existing models are applicable to human-modified landscapes. Seasonally dry tropical forests are experiencing widespread transformation, and represent a critical system to assess in a successional f

Bhaskar, Radika, Dawson, Todd E., Balvanera, Patricia2014DOI: 10.5061/dryad.6p9v5Cited 1 times
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361050
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361177
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361178
Dataset

Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissiv

Hussein, Khalid2012DOI: 10.15121/1361182
Dataset

Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northwest Delta, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissiv

Hussein, Khalid2012DOI: 10.15121/1361184
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361050
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361177
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361178
Dataset

Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissiv

Hussein, Khalid2012DOI: 10.15121/1361182