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Loudoun Cemeteries
More Metadata Historic cemeteries and burial grounds are fragile, tangible heritage resources that connect residents and visitors to their Loudoun roots. As development... -
Surface Drinking Water Importance - Forests on the Edge (Feature Layer)
Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option.... -
Surface Water Quality Polygon
See full Data Guide here. Surface Water Quality Classifications Set: This dataset is a line and a polygon feature-based layer compiled at 1:24,000 scale that includes water... -
Tidal Wetlands 1990s
In 1995 it was recognized that current Connecticut tidal wetland boundary information was critical to ensure the appropriate management and protection of the tidal wetlands... -
305b Assessed 2012 River, Lake, Estuary Set
305b Assessed 2012 River, Lake, Estuary set: Connecticut 305b Assessed River 2012 is a 1:24,000-scale, line feature-based layer that includes rivers that have been assessed to... -
Shellfish Area Class Poly
Shellfish Area Classification Set: The Connecticut Department of Environmental Protection cooperated with the Department of Agriculture, Bureau of Aquaculture to publish the... -
Healthy Forest Restoration Act Activities (Feature Layer)
This feature class contains data that depicts National Forest System (NFS) Lands designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas... -
Original Proclaimed National Forests and National Grasslands (Feature Layer)
This layer includes both Proclaimed Forest and National Grassland boundary areas. A Proclaimed Forest boundary is the boundary encompassing National Forest System land within a... -
Daily black carbon emissions data from fires in Northern Eurasia for 2002-2015
This data publication, the Fire Emission Inventory - Northern Eurasia (FEI-NE), consists of a high spatial resolution (500 meter ? 500 meter) dataset of daily black carbon (BC)... -
City of Austin Open Data Terms of Use
City of Austin Open Data Terms of Use -
FIA Landcover County Estimates - 2017 (Feature Layer)
This feature class represents forest area estimates (and percent sampling error) by county for the year 2017. The data was generated from the Forest Inventory Analysis (FIA)... -
Terrestrial Condition Assessment (TCA) Alaska Climate Exposure Temperature Sp...
The difference in Spring temperature (F) between the reference time period of 1980-2014 and the current time period 2015-2019. Winter months include March, April, and May. Data... -
Eelgrass Beds Historic Points
Eelgrass Beds Historic Set: Historic Eelgrass Points is a 1:24,000-scale, point feature-based layer that depicts the locations of historic eelgrass beds (Zostera marina) in Long... -
DEEP Property
See full Data Guide here. DEEP Property is a polygon feature-based layer that includes all land owned in fee simple interest by the State of Connecticut Department of Energy... -
Soil Survey Geographic Database (SSURGO) Hydric Soils
See full Data Guide here. Hydric soils are defined as soils that formed under conditions of saturation, flooding, or ponding long enough during the growing season to develop... -
Drainage Basin Lines
See full Data Guide here. Drainage Basin Set: Connecticut Drainage Basins is 1:24,000-scale, polygon and line feature data that define natural drainage areas in Connecticut.... -
MD COVID-19 - Congregate Outbreak
Summary Congregate living facilities in Maryland that have active COVID-19 outbreaks. Description The MD COVID-19 Congregate Outbreak data layer represents congregate living... -
Lake Bathymetry Contours Polygon
See full Data Guide here. Lake Bathymetry describes the water depth for selected reservoirs, lakes, ponds, and coves in Connecticut. It includes depth contours, also called... -
Terrestrial Condition Assessment (TCA) Climate Exposure Precipitation Fall (M...
The difference in Fall precipitation (in) between the reference time period of 1900-2014 and the current time period 2015-2019. Fall months include September, October, and... -
FIA Landcover County Estimates - 2019 (Feature Layer)
This feature class represents forest area estimates (and percent sampling error) by county for the year 2019. The data was generated from the Forest Inventory Analysis (FIA)...
