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OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biodiversity Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
Tags: Arctic Ocean, Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, All tags...
This community serves to document data and analysis collected by researchers within the Upper Midwest Water Science Center whose mission is to collect high-quality hydrologic data and conduct unbiased, scientifically sound studies of water resources within the Great Lakes and Upper Mississippi Basins. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.
Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking characteristics, and climates. We present an openly accessible, centralized earthquake-triggered ground-failure inventory repository in the form of a ScienceBase Community to provide open access to these data, and help accelerate progress. The Community hosts digital inventories created by both USGS and non-USGS authors. We present...
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Note: this data release has been depecrated. Find the updated version here: https://doi.org/10.5066/P942QL23 In June, 2022, the Mount Rainier Streamflow Permanence model was revised to replace monthly climatic covariates with seven-month summaries to address peer-review comments related to inclusion of correlated covariates into the model. Replacement of the monthly covariates resulted in changes to the model source code and model outputs, which are now annual probabilities of streamflow permanence for years 2018-2020. This data release contains spatially gridded geospatial data (rasters), R scripts, and supporting files to run Random Forest models to predict the probability of late summer surface flow in Mt....
The Pacific Coastal and Marine Science Center of the USGS studies the coasts of the western United States, including Alaska and Hawai‘i. Team scientists conduct research, monitor processes, and develop information about coastal and marine geologic hazards, environmental conditions, habitats, and energy and mineral resources. This information helps managers at all levels of government and in the private sector make informed decisions about the use and protection of national coastal and ocean resources.
Tags: PCMSC


    map background search result map search result map Pacific Coastal and Marine Science Center Upper Midwest Water Science Center Supporting data for and predictions from streamflow permanence modeling in Mt. Rainier National Park and surrounding area, Washington, 2018-2020 Supporting data for and predictions from streamflow permanence modeling in Mt. Rainier National Park and surrounding area, Washington, 2018-2020 Upper Midwest Water Science Center Pacific Coastal and Marine Science Center