Skip to main content
Advanced Search

Filters: Tags: {"type":"Theme"} (X) > Categories: Data (X)

18,137 results (36ms)   

View Results as: JSON ATOM CSV
thumbnail
This data set contains decomposition rates for litter of Salicornia pacifica, Distichlis spicata, and Deschampsia cespitosa buried at 7 tidal marsh sites in 2015. Sediment organic matter values were collected at a subset of sites. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R. et al. Ecosystems (2017). doi:10.1007/s10021-017-0111-6. http://link.springer.com/article/10.1007/s10021-017-0111-6
thumbnail
This dataset consists of the boundary extent used to evaluate regolith thickness, bedrock altitude, depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system in the Lower Gunnison River Basin, in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
thumbnail
This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
thumbnail
This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots. For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions. For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP. The 2005-2015 annual nutrient trends were determined...
thumbnail
This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of...
This dataset consists of measurements of the digestive gland in the freshwater snail Lymnaea stagnalis orally exposed to uranium. The objective of the study was to assess the morphological effects of uranium on the snail digestive gland by light microscopy. Laboratory-cultured L stagnalis were exposed to either synthetic or natural solid phases of uranium and a subset (6 controls and 6 exposed) were euthanized and fixed in 10% neutral buffered formalin for histopathological assessment. Slides were processed and stained with hematoxalin and eosin as per standard procedure (Luna 1968). The size of each sample, the length and width of digestive gland tubules (5 random glands per sample) and height of digestive cells...
thumbnail
The point data file ("Soda Fire Point and Pasture Data (2016).Point Data.csv") includes 2016 vegetative cover values of exotic annual grass and perennial grass measured within three different types of plots for 75 pastures in the Soda Fire, which burned in 2015: 6m² plot using a grid-point intercept photo software, SamplePoint (Booth et al. 2006), 1m² quadrat using an unguided rapid ocular estimate in the field, 531m² circular plot using an unguided rapid ocular estimate in the field. Smaller plots were nested within larger plots. The pasture data file ("Soda Fire Point and Pasture Data (2016).Pasture Data.csv") includes pasture level metrics of area, elevation, precipitation, slope, heatload, soils, and herbicide...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of South Dakota. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of South Dakota. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
thumbnail
Snags provide critical habitat for nearly one-third of wildlife species in forests of the Pacific Northwest, so historic declines in snags are thought to have had a strong impact on biodiversity. Resource managers often create snags to mitigate the scarcity of snags within managed forests, but information regarding the function and structure of created snags across long time periods (>20 years) is absent from the literature. Using snags that were created by topping mature Douglas-fir trees (Pseudotsuga menziesii) as part of the OSU College of Forestry Integrated Research Project, we measured characteristics of 731 snags and quantified foraging and breeding use of snags by birds 25-27 years after their creation....
thumbnail
Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Georgia. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Georgia. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Louisiana. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Louisiana. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
thumbnail
The dataset consists of site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop fire. A total of 40 CO2 flux measurements were made at 27 locations, including five points (seven measurements) outside of the active coal fire area.
thumbnail
These data are .csv files of tagged sea otter re-sighting locations (henceforth, resights) collected in the field using a combination of VHF radio telemetry and direct observation using high powered (80x) telescopes. Sea otters were tracked by shore or boat-based observers from the date of tagging until the time of radio battery failure, the animal’s death, or the end of the project, whichever comes first. The frequency of re-sighting was opportunistic, depending on logistical factors such as coastal access, but generally ranged from daily to weekly. Location coordinates are reported latitude and longitude as well as X and Y coordinates in the projection/datum California Teale-Albers NAD 1927. The file contains...


map background search result map search result map Coal Mines Trout Unlimited-Coldwater Fisheries Data Condition Index - Aquatic - Focal Species South Dakota: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances Louisiana: NFHAP 2010 HCI Scores and Disturbances Wind Turbines in Colorado, 2011 Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Movements of Sea Otters in the Santa Barbara Channel Litter Decomposition Rates, 2015 Boundary extent for 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, Colorado Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016 Exotic and perennial grass cover for pastures in the Soda Fire (2016) Temperature (Mean: Apr - June) - 2020-2050 - RCP8.5 - Mean Temperature (Mean: Dec - Mar) - 2070-2100 - RCP8.5 - Min Temperature (Minimum: January) - 2070-2100 - RCP8.5 - Mean Site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop coal mine fire, Kentucky (2009) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Lake Erie Tributaries: Nutrient and streamflow trend results Site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop coal mine fire, Kentucky (2009) Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016 Boundary extent for 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, Colorado Conservation Planning for the Colorado River in Utah - General Diversity Model Output Data for Colorado River in Utah Exotic and perennial grass cover for pastures in the Soda Fire (2016) Movements of Sea Otters in the Santa Barbara Channel Lake Erie Tributaries: Nutrient and streamflow trend results Wind Turbines in Colorado, 2011 Trout Unlimited-Coldwater Fisheries Data Coal Mines Condition Index - Aquatic - Focal Species Louisiana: NFHAP 2010 HCI Scores and Disturbances Georgia: NFHAP 2010 HCI Scores and Disturbances South Dakota: NFHAP 2010 HCI Scores and Disturbances Litter Decomposition Rates, 2015 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Temperature (Mean: Apr - June) - 2020-2050 - RCP8.5 - Mean Temperature (Mean: Dec - Mar) - 2070-2100 - RCP8.5 - Min Temperature (Minimum: January) - 2070-2100 - RCP8.5 - Mean