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This layer represents the number of Tier 1 fish species known to occur in each HUC10 watershed in the state, according to data available in CPW’s fish database as of December 2014. There are 25 fish species on the Tier 1 SGCN list; a maximum of eight different species occur in the same watershed. This map is an indicator of species richness only; it does not consider relative habitat quality, or population metrics such as density or abundance, across watersheds.
This dataset represents the Terrestrial Conservation Opportunity Areas identified by the 2015 update to Missouri's State Wildlife Action Plan.
The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
Orthorectified image from aerial photograph of wetland P3 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland T4 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetlands T6 and T7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Two identical Radar Stage Sensors from Forest Technology Systems, were evaluated to determine if they are suitable for U.S. Geological Survey (USGS) hydrologic data collection. The sensors were evaluated in laboratory conditions to evaluate the distance accuracy of the sensor over the manufacturer’s specified operating temperatures and distance to water ranges. Laboratory results were compared to the manufacturer’s accuracy specification of ±0.007 foot (ft) and the USGS Office of Surface Water (OSW) policy requirement that water level sensors have a measurement uncertainty of no more than 0.01 ft or 0.20 percent of the indicated reading. In the temperature chamber test, both sensors were within the manufacturer’s...
This dataset represents a species habitat distribution map for Northern Flicker (Colaptes auratus) within the conterminous United States (CONUS) based on 2001 ground conditions. This habitat map was created by applying a deductive habitat model to remotely-sensed data layers within the species' known range. See Gap Analysis Project Species Habitat Maps for more information regarding model process and user constraints. For species specific model information, see the attached Species Habitat Model Report.
This data set contains information on well yield and ancillary information at 7,287 wells in the bedrock aquifer in the Nashoba terrane in central and eastern Massachusetts. Well yield was compiled from records in databases and files of the Massachusetts Department of Environmental Protection and U.S. Geological Survey. Ancillary data include well depth; bedrock geology, surficial geology, topographic setting, and wetlands at the well location; distance of the well to hydrologic and geologic features; and distance of the well to lineaments. The data in this data release were interpreted in U.S. Geological Survey Scientific-Investigations Report 2012-5155.
Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Impacts of Climate Warming on River Ice Break-up and Snowmelt Freshet Processes on the Porcupine River in Northern Yukon
Acoustic Doppler current profiler velocity and discharge measurements collected in and near the lock chamber of Brandon Road Lock and Dam, Joliet, Illinois, USA in December 2014
Water velocities and discharge were measured in the lock chamber and immediately downstream of Brandon Road Lock on the Des Plaines River at river mile 286 on December 9-10, 2014 using Teledyne RDI Rio Grande 600 and 1200 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with a differential GPS receiver with submeter accuracy. These ADCP measurements were collected in support of the US Army Corps of Engineers Great Lakes and Mississippi River Interbasin Study (GLMRIS). Velocity measurements were processed using the Velocity Mapping Toolbox (Parsons and others, 2013) to derive temporally- and spatially-averaged water velocity values. Discharge measurements were processed with the QRev discharge...
Interpretive data release for Oregon OCS seafloor mapping: Selected lease blocks relevant to renewable energy
This data release includes the results of analysis of video data conducted by Oregon State University and the geo-habitat interpretation of multibeam echo sounder (MBES) data conducted by the USGS. The data were collected in 2014 and were published in Cochrane and others (2015). This data release accompanies report that describes the project and results in detail (Cochrane and others, 2017). All the data are provided as geographic information system (GIS) files that contain both Esri ArcGIS geotiffs or shapefiles. For those who do not own the full suite of Esri GIS and mapping software, the data can be read using Esri ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html...
Current and year 2100 (SRES A1B) climate envelopes for all native species datasets for “A landscape-based assessment of climate change vulnerability for native Hawaiian plants”.
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
Streamgage levels on the Elwha River were measured from 2011 to 2016. These measurements show the height of the river's water surface, both in meters relative to the stream bed, as well as in meters relative to vertical geographic coordinates. Measurements were collected using a Global Water WL16 battery-operated vented water level logger in a hardened casing. The instrument was installed on October 17, 2011 on the left bank of the Elwha River at a power line crossing above the Elwha Surface Water Intake (at approximately river kilometer 5.6), which is downstream of the (now historical) Elwha Dam site. Data collection ended May 12, 2016. The data were collected as part of a study investigating responses of the Elwha...
The aim of this USGS program is to provide site specific sea-level rise predictions to land managers through the intensive collection of field data and innovative predictive modeling. In 2009 and 2010, thousands of elevation and vegetation survey points were collected in salt marsh at 12 sites surrounding San Francisco Bay. The elevation data was synthesized into a continuous elevation model for each site, providing land owners valuable baseline data. This site hosts the project report, pages describing each of the 12 marshes visited in this study, and maps and GIS data for all of the marshes including high-resolution digital elevation models.