Filters: Types: OGC WFS Layer (X)
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Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Christian County, Missouri,
Lead,
Zinc
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Puerto Rico
The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). This data release contains (1) a folder with the PeakFQ output files for each streamgage, ".PRT" and ".EXP" files, for use in...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii,
Hawaii Island,
Kauai,
Maui,
Molokai,
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: West Virginia
The hydrologic response units (HRUs) available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the HRUs is provided as a shapefile with attributes ParentHRU, Region, and RegionHRU identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Hydrologic response units (HRUs) were delineating using the processing steps outlined in Viger and Leavesley (2007) and a 5-meter digital elevation model (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Guam,
hydrology,
mathematical modeling
The Khutia cluster is named for a village in Abkhazia, a break-away province in western Georgia in the western Caucasus Mountains. Most of the cluster is in Abkhazia, but one dense subcluster of events is off-shore in the Black Sea. The cluster contains a 6.5 Ms event on July 16, 1963 and five earthquakes of magnitude 5.0-5.6 so there is a good sample of teleseismic data. Station distribution for direct calibration is not ideal and a robust result is only obtained by including a fairly large geographic region, using many observations around 1° epicentral distance, and including many earthquakes that are mainly observed at regional distances. All events have depth control, mainly from near-source and local distance...
Data presented are results of surveys in 2021 for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. Surveys were conducted at 378 plots. Plots were surveyed twice in 2021 and the number, age (adult or juvenile), banding status (color banded or not), and breeding status (paired, unpaired, or unknown) of all wrens recorded. Habitat covariate data were collected including amount of dead and stressed cactus in the plot, percent cover of bare ground, and the dominant and percent cover of invasive species.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
San Diego,
animal and plant census,
biota,
birds,
This dataset represents roads in the Crown of the Continent Ecosystem (with a 50km buffer). Developed with the most recently available data and represents roads in ~2016. This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/ This dataset has been produced by merging the "National Road Network (NRN) - AB,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
B.C,
CCE,
MSDI,
Montana,
This layer has been updated in 2016 This shapefile represents the watersheds present within the Crown of the Continent Ecosystem (CCE) boundary.(Note: a different CCE boundary layer was used at the time of creation, so the area amounts within the CCE may not be accurate)This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alberta,
British Columbia,
CCE,
CMP,
Crown Manager's Partnership,
Boundaries for Waterton Lakes National Park and Waterton-Glacier International Peace Park found at the centre of the Crown of the Continent Ecosystem
This dataset contains a seamless 1:1,000,000 scale British Columbia, Alberta and Montana lakes layer.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 1:1 000 000,
1:1 000 000,
Alberta,
Alberta,
British Columbia,
This dataset represents the railways within a 5km buffer of the Crown of the Continent Ecosytem. This dataset contains all freely available spatial information on railways within the Crown of the Continent. Due to the free nature of the data, it is of mixed quality and should not necessarily be considered an exhaustive representaion.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Crown of the Continent,
Crown of the Continent,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
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