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Predicted population cores (25%, 50% and 75%) of breeding thick-billed longspur (Rhynchophanes mccownii) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted birds.
Predicted population cores (25%, 50% and 75%) of breeding Baird’s sparrow (Ammodramus bairdii) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted birds.
Science Applications employs mdEditor for metadata creation and editing. Metadata for contacts of other DOI agencies and centers are used frequently across the USFWS regions. In an effort to reduce redundancy and increase efficiency, SA headquarters maintains a master mdJSON metadata file aka seed file. for use across SA regions and the Service.If you would like to add commonly used contacts to this list, please contact the SA HQ data manager at sadatamanager@fws.gov
Categories: Data;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Science Applications,
accepted,
contacts,
environment,
CalHABMAP provides updates on current algal blooms and facilitates information exchange among HAB researchers, managers and the general public in California. A major component of this program is regional HAB monitoring. Water samples and net tows are collected once per week to monitor for HAB species and naturally occurring algal toxins. Water quality data including temperature, salinity, and nutrients are also collected.
Description of Work U.S. Geological Survey (USGS) will provide easily accessible, centrally located, USGS biological, water resources, geological, and geospatial datasets for Great Lakes basin restoration activities coordinated with GLOS. Managers, partners and the public will be able to readily access this information in usable interactive formats to help plan and implement restoration activities. Building tools and infrastructure to support standard data access, efficient data discovery and dynamic mapping of watersheds and their hydrologic properties. Developing decision support tools to enhance scientific investigation or disseminate project findings, for example integrating hydrologic models with real-time...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Accountability,
Assessment,
GLRI,
Gap analysis,
Governmental,
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, and relative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasing scope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies have enabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial and temporal data. For example, spatially explicit habitat assessment models allow for a more robust interpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
The Bureau of Land Management's National Invasive Species Information Management System (NISIMS) is designed to collect field data and store it in a standard database to allow for data sharing and reporting at the local, state and national levels. At this time, the system reports and tracks weed infestations only, Future versions of the system will report and track infestations by all taxa including weeds, birds, fish, and algae. The system also reports and tracks treatments of these invasive weed species infestations on public lands. The tools are based on the use of the BLM system of Enterprise Geographic Information System (EGIS) Architecture approved nationally in 2003. It also depends on the Geospatial Services...
mdEditor custom profile definition files, startup files, etc., may be found here.
Categories: Physical Item;
Types: Collection;
Tags: JSON,
ReSciColl,
configuration,
data management,
mdEditor,
This is the contact list for LCC funded projects for use in mdEditor. Please pay attention to the last update field. After adding contacts to the list please export and replace the file associated with this record and update the last update date accordingly.
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, andrelative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasingscope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies haveenabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial andtemporal data. For example, spatially explicit habitat assessment models allow for a more robustinterpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
Categories: Data;
Tags: Complete,
Darter Guild,
Darter Guild,
GPFHP_Darter_Guild_Protection_Priorities,
Great Plains Fish Habitat Partnership,
Predicted population cores (25%, 50% and 75%) of breeding chestnut-collared longspurs (Calcarius ornatus) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted birds.
Predicted population cores (25%, 50% and 75%) of breeding Sprague’s pipit (Anthus spragueii) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted pipits.
This data product contains estimates of habitat quality and connectivity for mountain lion, mule deer, desert bighorn sheep, and black bear, and combined estimates of high habitat and connectivity areas for all species. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011). Habitat...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Antilocapra americana,
Antilocapra americana,
Arizona,
Arizona,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, andrelative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasingscope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies haveenabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial andtemporal data. For example, spatially explicit habitat assessment models allow for a more robustinterpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
Categories: Data;
Tags: Complete,
Great Plains Fish Habitat Partnership,
Northern Headwaters Guild,
Restoration,
metadata
The Alaska Division of Geological and Geophysical Surveys provides FGDC metadata records for many different geoscience collections, databases, and individual artifacts. Those are harvested for access through ScienceBase along with records from sample data preservation activities. This collection is in the process of being replaced by a new collection of all geoscience publications. https://www.sciencebase.gov/catalog/item/61522455d34e0df5fb9bd804
Categories: Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geological Collection,
geospatial data,
metadata,
ndc_collection
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, and relative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasing scope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies have enabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial and temporal data. For example, spatially explicit habitat assessment models allow for a more robust interpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
Categories: Data;
Tags: Complete,
Great Plains Fish Habitat Partnership,
Restoration,
Turbid River Guild,
metadata
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, andrelative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasingscope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies haveenabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial andtemporal data. For example, spatially explicit habitat assessment models allow for a more robustinterpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
Categories: Data;
Tags: Complete,
Great Plains Fish Habitat Partnership,
Protection,
Southern Headwaters Guild,
metadata
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, andrelative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasingscope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies haveenabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial andtemporal data. For example, spatially explicit habitat assessment models allow for a more robustinterpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
Categories: Data;
Tags: Complete,
Great Plains Fish Habitat Partnership,
Madtom Guild,
Protection,
metadata
This product results from one of 5 subprojects of the North Atlantic LCC funded NROC project, “Demonstrations & Science Delivery Networks for Coastal Resilience Information in the Northeast”. Coastal storm and flood risk data were generated through the North Atlantic Coast Comprehensive Study (NAACS), an initative of the U.S. Army Corps of Engineers. In order to make this data widely available, the Northeast Regional Ocean Council (NROC) funded the development of a database and web services that provide streamlined access to high-resolution data on coastal storm and flood risk in the Northeast. Produced by a team from RPS ASA, the database includes projections for future climate scenarios and is a valuable resource...
Categories: Data,
Web Site;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
LCC Network Science Catalog,
North Atlantic Landscape Conservation Cooperative Data.gov,
Web Site,
completed,
These files are available for guidance documentation for a collection and the metadata file example of items in a collection.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
metadata
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