Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
Filter Total Items: 12872
Western Lake Erie Restoration Assessment: Dikes
The US Geological Survey (USGS) created the Dikes dataset as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes da
Western Lake Erie Restoration Assessment: Degree Flowlines and Culverts
The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area
Connecting River Systems Restoration Assessment: Dikes
This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
Western Lake Erie Restoration Assessment: Composite Model
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Western Lake Erie Restoration Assessment (WLERA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands.
Connecting River Systems Restoration Assessment: Degree Flowlines
The U.S. Geological Survey (USGS) created the Degree Flowlines and Culverts geospatial datasets representing potential culvert locations along with flowlines within the Connecting River Systems Restoration Assessment (CRSRA) study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be u
Connecting River Systems Restoration Assessment, Composite Model
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Connecting River Systems Restoration Assessment (CRSRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable we
Saginaw Bay Restoration Assessment: Degree Flowlines
The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected toLake Huron as part of the Saginaw Bay Restoration Assessment (SBRA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the SBRA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application
Saginaw Bay Restoration Assessment, Composite Model
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7
Saginaw Bay Restoration Assessment: Dikes
This dataset represenst the location of dikes within the Saginaw Bay Restoration Assessment (SBRA) study area. An ArcGIS model identified dikes as having a difference in elevation and slope above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then
Ground-motion records and basin depth models for Portland, Oregon, 2005-2022
This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.0-6.8 earthquakes occurring in the vicinity of Portland, Oregon, between 2005 and 2022. The dataset includes 347 records from 134 earthquakes and 69 stations. Spectral values are provided at 21 periods (0.01-10 s). It also includes the basin depth models as GeoTiff
Ground-motion records and basin depth models for Reno, Nevada, 2008-2022
This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.0-6.0 earthquakes occurring in the vicinity of Reno, Nevada, between 2008 and 2022. The dataset includes 592 records from 104 earthquakes and 42 stations. Spectral values are provided at 21 periods (0.01-10 s). Local basin depths as given by Z1.0 and Z2.5 (depths to
Ground-motion records and basin depth models for the Great Valley, California, 2000-2022
This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.5-7.1 earthquakes occurring in the vicinity of the Great Valley, California, between 2000 and 2022. The dataset includes 12,044 records from 564 earthquakes and 254 stations. Spectral values are provided at 21 periods (0.01-10 s). It also includes the basin depth mo