This dataset contains the Coded Surface Bulletin (CSB) dataset reformatted as netCDF-4 files. The CSB dataset is a collection of ASCII files containing the locations of weather fronts, troughs, high pressure centers, and low pressure centers as determined by National Weather Service meteorologists at the Weather Prediction Center (WPC) during the surface analysis they do every three hours. Each bulletin is broadcast on the NOAAPort service, and has been available since 2003.

Each netCDF file contains one year of CSB fronts data represented as spatial map data grids. The times and geospatial locations for the data grid cells are also included. The front data is stored in a netCDF variable with dimensions (time, front type, y, x), where x and y are geospatial dimensions. There is a 2D geospatial data grid for each time step for each of the 4 front types—cold, warm, stationary, and occluded. The front polylines from the CSB dataset are rasterized into the appropriate data grids. Each file conforms to the Climate and Forecast Metadata Conventions.

There are two large groupings of the CSB netCDF files. One group uses a data grid based on the North American Regional Reanalysis (NARR) grid, which is a Lambert Conformal Conic projection coordinate reference system (CRS) centered over North America. The NARR grid is quite close the the spatial range of data displayed on the WPC workstations used to perform surface analysis and identify front locations. The native NARR grid has grid cells which are 32 km on each side. Our grid covers the same extents with cells that are 96 km on each side.

The other group uses a 1° latitude/longitude data grid centered over North America with extents 171W – 31W / 10N – 77 N. The files in this group are identified by the name MERRA2, because they were used with data from the NASA MERRA-2 dataset, which uses a latitude/longitude data grid.

There are a number of files within each group. The files all follow the naming convention codsus_[masked]_.nc, where [masked] indicates that the presence of the word masked is optional and is either merra2-1deg or narr-96km. The element is either the word mask or the sequence wide_, where is the front width and is the year for the data stored in the file.

The codsus_mask.nc file is a file containing a single data grid that delineates the envelope of the geospatial region where there are, on average, 40 or more front crossing of any type per year. The WPC meteorologists don't attempt to provide equal levels of attention to every grid cell displayed on their workstations. The files of the form codsus_masked_wide_.nc have all had the mask described above applied to exclude parts of fronts that extend past the envelope. The files of the form codsus_wide_.nc have no masking applied.

The wide portion of the file names takes two forms—1wide and 3wide. The fronts in the1wide files were rasterized by drawing the front polylines with a width of one grid cell. The fronts in the 3wide files were rasterized by drawing the front polylines with a width of 3 grid cells.

Within each grid group, there are five subsets of files:

codsus_masked_1wide_.nc

codsus_masked_3wide_.nc

codsus_1wide_.nc

codsus_3wide_.nc

codsus_mask.nc

The primary source for this dataset is an internal archive maintained by personnel at the WPC and provided to the author. It is also provided at DOI 10.5281/zenodo.2642801. Some bulletins missing from the WPC archive were filled in with data acquired from the Iowa Environmental Mesonet.

CO2_netCDF.zip includes 3 files, readme_nc.txt is the descrition file of the rest 2 files. The format of data file is .nc, and demension description of the netCDF file is .xlsx. CO2_mat.zip includes 5 files, readme_mat.txt is the descrition file of the rest 4 data files. The format of data files is .mat, which could be load using matlab.

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census and beyond, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

A digital image mosaic is a raster image of an aerial photograph that through a process of rectification has been transformed to a uniform scale and pixel resolution with a specified tolerance. Cabarrus County, NC image mosaics consist of a tiff file format, one file covers an area of 5,000' X 5,000'. Pixel size represents 1' on the ground and B/W images are 95 megabytes per tile map. No attributes available. Each tiff has a corresponding "TFW" file that contains geographic coordinate system information. These mosaic images were produced from an aerial photography flight covering Cabarrus County, North Carolina in 1987.

Python programming language (e.g. xarray) was used to open and manipulate the NetCDF files.

Rasters of the ten most common geomorphic landscape forms (geomorphons) were developed with 1-meter resolution for the Greater Raleigh, NC Area, based on 1-meter high-resolution lidar-derived digital elevation models representing the years 2013, 2015, and 2022. The ten geomorphons include the landscape forms representing peaks, ridges, shoulders, spurs, slopes, hollows, footslopes, valleys, pits, and flat areas. All files are available as Cloud Optimized GeoTIFF image file format, meaning they are formatted to work on the cloud or can be directly downloaded.

The Digital Geomorphic-GIS Map of Cape Lookout National Seashore, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (calo_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (calo_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (calo_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (calo_geomorphology_metadata.txt or calo_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Molecular Dynamics trajectories of the human PDZ2 domain. This dataset contains simulations of two systems (PDZ2 apo and PDZ2 bound to the RA-GEF-2 peptide) started from either a crystal or NMR structure.

The .prmtop file is a text file as used by the AMBER software for molecular dynamics simulations and contains the topology of the molecular system. Any text editor should be able to read the file, though it is designed towards being used by the program. The .nc file is a binary file format for trajectories created by the AMBER software. .prmtop and .nc files can be read by the program CPPTRAJ (of the AmberTools software suite) or molecular viewers like VMD. Both AmberTools and VMD are free to download and use.

This dataset contains the netCDF files used to run mizuRoute across continental Chile.
Each folder includes the following files:

• [Catchment_BNACode]_grid.gpkg: the VIC model grid used for the catchment.
• mapping_[Catchment_BNACode].nc: the mapping file that links the VIC grid to the GIS features.
• ntopo_[Catchment_BNACode].nc: a river network netCDF file containing river reach-to-reach topology, reach-to-HRU topology, and physical parameters for both rivers and HRUs.

This research was funded by the Fondecyt Project 11200142 “Robust estimates of current and future water resources across a hydroclimatic gradient in Chile” (Principal Investigator: Pablo A. Mendoza).

The use of these files requires citing this dataset, and the paper that describes the approach used to produce the data:
Cortés-Salazar, N., Vásquez, N., Mizukami, N., Mendoza, P. A., & Vargas, X. (2023). To what extent does river routing matter in hydrological modeling?. Hydrology and Earth System Sciences, 27(19), 3505-3524. (doi.org/10.5194/hess-27-3505-2023).

Geographic Extent: North Carolina Area of Interest, covering approximately 7,197 square miles. Dataset Description: The North Carolina LiDAR project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 8026 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Data in 10591 tiles were received by NOAA in LAS 1.3 format and were transformed to ellipsoid heights and geographic coordinates for the Digital Coast Data Access Viewer. Ground Conditions: LiDAR was collected in Spring 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 71 control points that were used to calibrate the lidar to known ground locations established throughout the North Carolina project area.

The Digital Geomorphic-GIS Map of the Shackleford Banks Area, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (shbk_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (shbk_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (shbk_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (shbk_geomorphology_metadata.txt or shbk_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

Related to an upcoming analysis in a manuscript prepared for submission to Geophysical Research Letters, this holds the files used and a copy of the R code used for analysis. The following files are included:

• GRLpaper_analysis.R - R code for analysis of files and production of graphics
• pr_GCM_climo_CONUS.nc - Historical (1976-2005) climatology of annual precipitation for pre-downscaled CMIP5 GCMs interpolated to the grid of Livneh v. 1.2. Also includes the Livneh v.1.2 climatology of annual precipitation and the 29 member ensemble mean. NetCDF file format
• pr_GCM_climo_rcp85_CONUS.nc - RCP 8.5 future (2070-2099) climatology of annual precipitation for pre-downscaled CMIP5 GCMs interpolated to the grid of Livneh v. 1.2. Also includes the Livneh v.1.2 historical (1976-2005) climatology of annual precipitation and the 29 member ensemble mean of the RCP 8.5 future.NetCDF file format
• pr_LOCA_climo_CONUS.nc - Historical (1976-2005) climatology of annual precipitation for LOCA downscaled CMIP5 GCMs interpolated to the grid of Livneh v. 1.2. Also includes the Livneh v.1.2 climatology of annual precipitation and the 29 member ensemble mean. NetCDF file format
• pr_LOCA_climo_rcp85_CONUS.nc - RCP 8.5 future (2070-2099) climatology of annual precipitation for LOCA downscaled CMIP5 GCMs interpolated to the grid of Livneh v. 1.2. Also includes the Livneh v.1.2 historical (1976-2005) climatology of annual precipitation and the 29 member ensemble mean of the RCP 8.5 future. NetCDF file format
• maskname-mask.nc - For the states and National Climate Assessment (NCA) regions, these files contain the a spatial mask for the region described in the first part of the file (maskname). The masks include the following:
  • NE-NCA - Northeast NCA region
  • SE-NCA - Southeast NCA region
  • MW-NCA - Midwest NCA region
  • NGP-NCA - Northern Great Plains NCA region
  • SGP-NCA - Southern Great Plains NCA region
  • NW-NCA - Northwest NCA region
  • SW-NCA - Southwest NCA region
  • oklahoma - state of Oklahoma
  • kentucky - state of Kentucky
  • north_carolina - state of North Carolina
  • louisiana - state of Louisiana
  • florida - state of Florida

The twin satellites of the Gravity Recovery and Climate Experiment (GRACE), launched in March of 2002, are making detailed monthly measurements of Earth's gravity field changes. These observations can detect regional mass changes of Earth's water reservoirs over land, ice and oceans. GRACE measures gravity variations by relating it to the distance variations between the two satellites, which fly in the same orbit, separated by about 240 km at an altitude of ~450 km. The monthly land mass grids contain terrestrial water storage anomalies (in aquifers, river basins, etc.) from GRACE time-variable gravity data relative to a time-mean. The storage anomalies are given in 'equivalent water thickness' (in NetCDF format). The time coverage for the monthly grids are determined by GRACE months. For the list of GRACE month dates visit http://grace.jpl.nasa.gov/data/grace-months/ . For information please visit http://grace.jpl.nasa.gov/data/get-data/monthly-mass-grids-land/ .

Hurricane Florence made landfall as a Category 1 near Wilmington, NC on the morning of September 14, 2018. Hurricane-force winds were experienced over a large region, yielding powerful storm surge and waves over 8 m offshore. The overarching objective of the project was to collect seafloor mapping data and sediment samples over a previously surveyed portion of the Morehead City Ocean Dredged Material Disposal Site (ODMDS) to assess shelf sediment reworking associated with Hurricane Florence. The project collected geophysical data and sediment samples over a portion of the ODMDS offshore of Bogue Banks, NC in early 2019. Geodynamics LLC was contracted and collected a suite of multibeam bathymetry, backscatter and seismic reflection data along with sediment samples. These data sets add to previously collected information over the same area in 2013 and 2018. The multibeam bathymetry/backscatter data set was collected on January 15, 2019 aboard R/V Benthos with pole-mounted dual-head EM2040C-D sonars, an Applanix Pos MV inertial measurement unit and real-time kinetic GPS for positioning. Hypack software was used for navigation. The Kongsberg SIS 4.3.2 system was employed for multibeam data acquisition, and CARIS HIPS/SIPS was used for data processing. Backscatter intensity surfaces with a horizontal resolution of 1 m (3.28 feet) were generated in the Fledermaus FGMT software. The data file is in GeoTIFF grid format. Funding was provided by an NSF RAPID grant titled "RAPID: Examining Seafloor Dynamics offshore Bogue Banks, North Carolina, Related to Hurricane Florence", Award OCE 1906073 to lead investigator J.P. Walsh.

description: Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles. Dataset Description: The North Carolina - Sandy LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected in Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.; abstract: Geographic Extent: North Carolina Area of Interest for Sandy, covering approximately 9,396 square miles. Dataset Description: The North Carolina - Sandy LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of North Carolina State Plane Coordinate System, NAD83, survey feet and vertical datum of NAVD1988 (GEOID12A), survey feet (later changed to vertical meters). LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.3 Files formatted to 12138 individual 5000ft x 5000ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000ft x 5000ft schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected in Spring 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 282 QA control points and 161 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the North Carolina - Sandy project area. Data was collected under USGS Contract: G10PC00026 Task Order Number: G14PD00182 and originally had a title of "Lidar data for North Carolina - SANDY 2014". The title was modified to avoid conflict with other phases of the North Carolina collection conducted by the North Carolina Floodplain Mapping Program (NCFMP). This data was funded jointly by USGS and NCFMP.

The Digital Geomorphic-GIS Map of the Portsmouth to Cricket Island Site, North Carolina (1:10,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (pmci_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (pmci_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (pmci_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: East Carolina University. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (pmci_geomorphology_metadata.txt or pmci_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:10,000 and United States National Map Accuracy Standards features are within (horizontally) 8.5 meters or 27.8 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The NC Center for Geographic Information and Analysis developed the GIS data set, Type A Current Public Sewer Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. "Current" in Type A Current Public Sewer Systems refers to the most recent year of data the sewer system owner had that represented a full year. The survey was in 2004, so this data would normally have been for calendar year 2003.

The NC Center for Geographic Information and Analysis developed the GIS data set, Type A Current Public Water Systems, as mapped by contractors to the NC Rural Center (engineering firms McGill & Associates and Hobbs, Upchurch & Associates) during 2004, 2005, and 2006 to facilitate planning, siting and impact analysis in the 100 individual counties of North Carolina. This file enables the user to make various county-level determinations when used in conjunction with other data layers. "Current" in the title Type A Current Public Water Systems refers to the most recent year of data the water system owner had that represented a full year. The survey was in 2004, so this data would normally have been for calendar year 2003.