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This database contains a comprehensive inventory of geologic (coral, coral reef, limestone, and sediment) cores and samples collected, analyzed, published, and/or archived by, or in collaboration with, the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). The SPCMSC Geologic Core and Sample Database includes geologic cores and samples collected beginning in the 1970s to present day, from study sites across the world. This database can be accessed through the CoreViewer 3.0 ArcOnline web mapping application, linked below. A copy of the data can also be downloaded from the web mapping application and the metadata is accessible through a link in the header of the application, as...
Types: Application, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Atlantic Ocean, Bahamas, Belize, Brazil, All tags...
The Western Landscapes Explorer is a natural resources digital library that provides access to information to evaluate large landscapes over time in the Western United States. It a llows users to learn about data created through the Integrated Landscape Asseessment Project http://westernlandscapesexplorer.info/LearnaboutIntegratedLandscapeAssessmentProject. Platform: GeoPortal Server/ Drupal/ Geocorex Essentials Data format: Data access can be for services, geodata (SDE, zipped shape, etc) Server technology: ArcGIS Server
Categories: Data, Map, Web Site; Types: Application, Map Service
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We have developed pyEMU, a python framework for Environmental Modeling Uncertainty analyses, open-source tool that is non-intrusive, easy-to-use, computationally efficient, and scalable to highly-parameterized inverse problems. The framework implements several types of linear (first-order, second-moment (FOSM)) and non-linear uncertainty analyses. The FOSM-based analyses can also be completed prior to parameter estimation to help inform important modeling decisions, such as parameterization and objective function formulation. Complete workflows for several types of FOSM-based and non-linear analyses are documented in example notebooks implemented using Jupyter that are available in the online pyEMU repository. Example...
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rbison is an R package or wrapper for interacting with the USGS BISON search API (https://bison.usgs.gov/#opensearch). rbison allows users to pull species occurrence data from datasets available from the USGS BISON application, inspect species occurance summaries, and then map species occurance within the US, within the contiguous 48 states, and/or at county or state level. The U.S. Geological Survey's BISON (Biodiversity Information Serving Our Nation - https://bison.usgs.gov) application is a product of the USGS Science, Analytics and Synthesis Program. BISON is an information system that allows users to access, explore, and download species occurrence data (predominantly specimen-based e.g. from digitized museum...


    map background search result map search result map rbison R Package pyEMU: a python framework for environmental model uncertainty analysis St. Petersburg Coastal and Marine Science Center's Geologic Core and Sample Database St. Petersburg Coastal and Marine Science Center's Geologic Core and Sample Database rbison R Package pyEMU: a python framework for environmental model uncertainty analysis