North Carolina Dune Condition Codes

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Frequently anticipated questions:

What does this data set describe?

Title: North Carolina Dune Condition Codes
Abstract:
The U.S. Geological Survey (USGS) supports multiple efforts to understand and predict storm impacts to our nation’s coastlines. The geospatial dataset (vector feature class) and comma-delimited American Standard Code for Information Interchange (ASCII) table describes the changes in the elevation and cross-shore position of the modern foredune crest from September 1997 to October 2018 across the North Carolina ocean-fronted coastline, as well as infrastructure distance, beach width, and total water level (TWL) elevation information. Results are provided as points at an alongshore resolution of 500 meters (m) and describe the dune crest elevation (classified as ‘low’, ‘moderate’, or ‘high’), the dune crest elevation trend (classified as ‘eroding’, ‘no net change’, or ‘accreting’), and the dune crest migration trend (classified as ‘landward’, ‘no net change’, or ‘seaward’). The cross-shore distance between the dune crest and line of first infrastructure at the end of the study period, average beach width, and 98% quantile total water level elevation for the study period are also provided. Individual dune condition code positions (points) represent the center of an alongshore “bin” and describe coastal trends within 250 m alongshore on either side of the point. An ArcGIS Pro Map Package file is also included, which displays dune condition code and time series features with specific symbology and graphing schema that aid the user in interpreting and visualizing some of the most important attributes in the data. The methods used to generate this data followed the process outlined in “Decadal-scale characteristics of natural and anthropogenic dune morphology along North Carolina barrier islands (SE Atlantic coast)” by Seymour and others (2026).
  1. How might this data set be cited?
    Seymour, Alexander C., and Doran, Kara S., 20260310, North Carolina Dune Condition Codes:.

    This is part of the following larger work.

    Seymour, Alexander C., and Doran, Kara S., 20260310, Coastal Dune Condition Codes and Time Series Features, North Carolina: U.S. Geological Survey data release doi:10.5066/P9WYA19U, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -78.541634
    East_Bounding_Coordinate: -75.460637
    North_Bounding_Coordinate: 36.546124
    South_Bounding_Coordinate: 33.844975
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 15-Sep-1997
    Ending_Date: 02-Oct-2018
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Point data set. It contains the following vector data types (SDTS terminology):
      • Point (987)
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 18N
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -75.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.001
      Ordinates (y-coordinates) are specified to the nearest 0.001
      Planar coordinates are specified in meters
      The horizontal datum used is WGS 1984.
      The ellipsoid used is WGS 1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
      Vertical_Coordinate_System_Definition:
      Altitude_System_Definition:
      Altitude_Datum_Name: North American Vertical Datum 1988
      Altitude_Resolution: 0.01
      Altitude_Distance_Units: meters
      Altitude_Encoding_Method: Attribute values
  7. How does the data set describe geographic features?
    NC_Dune_Condition_Codes_GDB.gdb, NC_Dune_Condition_Codes_ASCII.csv
    File geodatabase feature class (.gdb) and comma-separated values file (.csv) of the dune condition codes for North Carolina. (Source: USGS)
    OBJECTID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. This attribute is only present in the feature class dataset. (Source: Esri) Vector type (Point M).
    AlongshoreID
    Unique ID for the alongshore bin. (Source: USGS)
    Range of values
    Minimum:1
    Maximum:1033
    ConditionCode
    A three-digit code describing the dune height class, dune elevation trend, and dune position trend. (Source: USGS) The first digit describes the dune crest height class (1 = low, 2 = moderate, 3 = high), the second digit describes the dune crest elevation trend (1 = eroding, 2 = no net change, 3 = accreting), and the third digit describes the dune crest position trend (1 = transgressing, 2 = no net change, 3 = prograding).
    ElevationCondition
    A string describing the dune crest elevation condition class. (Source: USGS)
    ValueDefinition
    LowDune crests that have a low time series mean elevation (less than 3.82 m).
    ModerateDune crests that have a moderate time series mean elevation (3.82 – 5.65 m).
    HighDunes crests that have a high time series mean elevation (greater than 5.65 m).
    MeanDuneElevation
    Spatiotemporal average dune crest elevation within each alongshore bin and across the entire time series, in meters NAVD88. (Source: USGS)
    Range of values
    Minimum:1.380703
    Maximum:9.745357
    MeanDuneElevationUncertainty
    95% confidence interval describing the time series mean dune crest elevation uncertainty, in meters. (Source: USGS)
    Range of values
    Minimum:0.055937
    Maximum:2.070284
    DuneElevationSTD
    Standard deviation of the bin-averaged dune crest elevation across the entire time series, in meters. (Source: USGS)
    Range of values
    Minimum:0.076808
    Maximum:1.972759
    DuneElevationTrend
    A string describing the dune crest elevation trend. (Source: USGS)
    ValueDefinition
    ErodingDune crests that are decreasing in elevation across the time series.
    No net changeDune crests that are no net change in elevation across the time series.
    AccretingDune crests that are increasing in elevation across the time series.
    DuneElevationChangeRate
    Estimated bin-averaged dune crest elevation change rate across the time series, in meters/year. If the rate was not statistically significant, the rate was recorded as zero. (Source: USGS)
    Range of values
    Minimum:-0.184645
    Maximum:0.163274
    DuneElevationChangeRateUnfilt
    Estimated bin-averaged dune crest elevation change rate across the time series, in meters/year. Rates were unfiltered and not set to zero when not statistically significant. This attribute was included specifically to compare with the dune elevation change rate uncertainty, because rate uncertainties cannot be accurately applied to rates set to zero. (Source: USGS)
    Range of values
    Minimum:-0.184645
    Maximum:0.163274
    DuneElevationChangeRateUncert
    One-tailed 95% confidence interval describing the dune crest elevation change rate uncertainty, in meters/year. (Source: USGS)
    Range of values
    Minimum:0.003921
    Maximum:0.314643
    MigrationTrend
    A string describing the dune crest migration trend. (Source: USGS)
    ValueDefinition
    LandwardDune crests that are migrating landward across the time series (transgressing).
    No net changeDune crests that are no net change in position across the time series.
    SeawardDune crests that are migrating seaward across the time series (prograding).
    DuneMigrationRate
    Cross-shore migration rate of bin-averaged dune crest positions across the time series, in meters/year. Negative rates indicate landward migration, and positive rates indicate seaward migration. If the rate was not statistically significant, the rate was recorded as zero. (Source: USGS)
    Range of values
    Minimum:-30.384809
    Maximum:19.207479
    DuneMigrationRateUnfiltered
    Cross-shore migration rate of bin-averaged dune crest positions across the time series, in meters/year. Rates were unfiltered and not set to zero when not statistically significant. This attribute was included specifically to compare with the dune migration rate uncertainty, because rate uncertainties cannot be accurately applied to rates set to zero. Negative rates indicate landward migration, and positive rates indicate seaward migration. (Source: USGS)
    Range of values
    Minimum:-30.384809
    Maximum:19.207479
    DuneMigrationRateUncertainty
    95% percent confidence interval for the dune crest migration change rate, in meters/year. (Source: USGS)
    Range of values
    Minimum:0.035645
    Maximum:24.040369
    DunePositionSTD
    Standard deviation of the bin-averaged dune crest cross-shore position across the time series, in meters. (Source: USGS)
    Range of values
    Minimum:0.349312
    Maximum:262.262146
    MeanBeachWidth
    Mean bin-averaged beach width across the time series, in meters. Beach width was defined as the cross-shore planar distance between the mean high water shoreline and the dune toe. (Source: USGS)
    Range of values
    Minimum:20.517197
    Maximum:259.278687
    MeanBeachWidthUncertainty
    95% confidence interval describing the time series mean beach width uncertainty, in meters. (Source: USGS)
    Range of values
    Minimum:1.837929
    Maximum:221.239273
    MeanBeachSlope
    Mean bin-averaged beach slope across the time series, in angular degrees. Beach slope was measured using the mean high water and dune toe position. (Source: USGS)
    Range of values
    Minimum:0.770043
    Maximum:7.148379
    MeanBeachSlopeUncertainty
    95% confidence interval describing the time series mean beach slope uncertainty, in angular degrees. (Source: USGS)
    Range of values
    Minimum:0.112394
    Maximum:5.998414
    MeanDistDuneToInfrastructure
    The mean cross-shore distance between the final predicted dune crest position at the end of the time series and the bin-averaged position of the line of first infrastructure, in meters. Negative values indicate that the line of first infrastructure is seaward of the dune crest. Null values indicate that there was no infrastructure within 500 m of the shoreline. (Source: USGS)
    Range of values
    Minimum:-55.180721
    Maximum:435.653908
    MedianDistDuneToInfrastructur
    The median cross-shore distance between the final predicted dune crest position and the bin-averaged position of the line of first infrastructure, in meters. Negative values indicate that the line of first infrastructure is seaward of the dune crest. Null values indicate that there was no infrastructure within 500 m of the shoreline. (Source: USGS)
    Range of values
    Minimum:-57.157335
    Maximum:471.220059
    STDDuneToInfrastructure
    The standard deviation of the cross-shore distance between the final predicted dune crest position and the bin-averaged line of first infrastructure position, in meters. Null values indicate that there was no infrastructure within 500 m of the shoreline. (Source: USGS)
    Range of values
    Minimum:0.683446
    Maximum:205.610771
    FinalPredictedDuneElevation
    Predicted dune crest elevation at the end of the time series, in meters NAVD88. This is represented by either a regression prediction or a time series mean. Final predicted values and time series means were used because they correct for interannual dune elevation variance better than the observed dune elevations from the latest survey year. See Seymour and others (2024) for more information. (Source: USGS)
    Range of values
    Minimum:1.076
    Maximum:10.222
    FinalPredictedDuneElevUncerta
    Uncertainty for the final predicted dune elevation. This is represented by either a prediction interval or a confidence interval. See the Vertical_Positional_Accuracy_Report section of this metadata for more information. (Source: USGS)
    Range of values
    Minimum:0.051
    Maximum:3.184
    TWLQ98MeanElevation
    The temporal mean of the 98% quantile total water level elevation across the time series, in meters NAVD88. Null values represent bins where no total water level information existed within 1 km of the bin. This condition existed for only one of the 987 bins. (Source: USGS)
    Range of values
    Minimum:1.587
    Maximum:3.732
    TWLQ98MeanElevationUncertaint
    95% confidence interval describing uncertainty of the 98% quantile total water level elevation mean, in meters. Null values represent bins where no total water level information existed within 1 km of the bin. This condition existed for only one of the 987 bins. (Source: USGS)
    Range of values
    Minimum:0.042
    Maximum:0.119
    TWLQ98FinalElevationPredictio
    Predicted 98% quantile total water level elevation at the end of the TWL time series (12/31/2018), in meters NAVD88. This is represented by either a regression prediction or a time series mean. See the Vertical_Positional_Accuracy_Report section of this metadata for more information. Null values represent bins where no total water level information existed within 1 km of the bin. This condition existed for only one of the 987 bins. (Source: USGS)
    Range of values
    Minimum:1.587
    Maximum:4.024
    TWLQ98FinalElevationUncertain
    Uncertainty for the final predicted 98% quantile total water level elevation, in meters. This is represented by either a prediction interval or a confidence interval. See the Vertical_Positional_Accuracy_Report in this metadata for more information. Null values represent bins where no total water level information existed within 1 km of the bin. This condition existed for only one of the 987 bins. (Source: USGS)
    Range of values
    Minimum:0.046
    Maximum:1.243
    ElevDiff_FinDuneElevAndTWLQ98
    The vertical difference between the final predicted dune crest elevation at the end of the time series and the final predicted 98% quantile total water level elevation, in meters. Negative values indicate that the final predicted 98% quantile total water level elevation was higher than the final predicted dune crest elevation. Null values represent bins where no total water level information existed within 1 km of the bin. This condition existed for only one of the 987 bins. (Source: USGS)
    Range of values
    Minimum:-1.571
    Maximum:7.444
    SurveyRange
    String recording the date of the first and last survey of the time series with valid dune crest data at this location. (Source: USGS) The month, day, and year (MM/DD/YYYY) of the first and last survey in the time series, separated by a hyphen.
    XCoord
    Easting (x) coordinate (WGS 84 UTM 18N). (Source: USGS)
    Range of values
    Minimum:172289.1866
    Maximum:458262.4674
    YCoord
    Northing (y) coordinate (WGS 84 UTM 18N). (Source: USGS)
    Range of values
    Minimum:3748925.4136
    Maximum:4044873.0271
    Entity_and_Attribute_Overview:
    NC_Dune_Condition_Codes_Time_Series_Map_Pack.mpkx: ArcGIS Pro Map Package containing the dune condition codes (NC_Dune_Condition_Codes) and time series features (NC_Time_Series_Features) feature classes, stored inside a file geodatabase (NC_Dune_Condition_Codes_Time_Series.gdb). The Map Package also contains the Hybrid Reference Layer and World Imagery basemaps published by Esri in the Living Atlas. These basemaps are accessible via ArcGIS Online: Hybrid Reference Layer (https://www.arcgis.com/home/item.html?id=30d6b8271e1849cd9c3042060001f425) and World Imagery (https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer). Scatterplots in the map pack are designed to only display plots from singular condition code points selected by the user. The user must bandbox select a desired condition code point with the Select interactive tool for a scatterplot to display data.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified originator of the dataset. Please review the metadata records associated with this data release for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Alexander C. Seymour
    • Kara S. Doran
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Kara S. Doran
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8117 (voice)
    727-502-8001 (FAX)
    kdoran@usgs.gov

Why was the data set created?

To provide information on the changes in the elevation and position of coastal dunes over the last two decades, along with beach width, total water level, and first infrastructure line distance data along the North Carolina coast.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 13-Oct-2022 (process 1 of 3)
    Methods for deriving spatial and time series data and attributes in this data release can be found in Seymour and others (2026). For final predicted dune crest elevations, if the dune crest was classified as increasing or decreasing in elevation across the time series, this value is the final dune crest elevation predicted by the regression at the end of the time series and the uncertainty is represented by the 95% prediction interval. If the dune crest was classified as no net change in elevation across the time series, this value is the mean dune crest elevation across the time series, and the uncertainty is represented by the 95% confidence interval for the time series mean. Final predicted dune crest cross-shore positions are not an independent attribute but were used during the calculation of the dune crest to infrastructure distance. For final predicted dune crest cross-shore positions, if the dune crest was classified as migrating seaward or landward across the time series, this value is the final dune crest position predicted by the regression at the end of the time series. If the dune crest was classified as no net change in position across the time series, this value is the mean dune crest position across the time series. For the final predicted 98% quantile total water level elevation, if 98% quantile total water level elevation was classified as increasing or decreasing across the time series, this value is the final elevation predicted by the time series regression, and the uncertainty is represented by the 95% prediction interval. If the 98% quantile total water level elevation was classified as no net change across the time series, this value is the mean 98% quantile total water level elevation across the time series, and the uncertainty is represented by the 95% confidence interval for the time series mean. In the above attributes, final predicted values and time series means were used because they correct for interannual dune elevation, position, and Q98 TWL variance better than the observed dune elevations from the latest survey year. See Seymour and others (2026) for more information. Additionally, after the dune condition code features were generated, an analyst manually removed select positions that occurred in inlets where the elevation of shoals was contributing datapoints to the time series. This sometimes occurs after the erosive loss of the subaerial beach and results in inaccurate dune elevation and migration change trends. Additional points were removed that were calculated from transects that diverged from shore-normal orientations. Specifically, this could occur most often directly on cape headlands, or on spits adjoined to cape headlands. Person who carried out this activity:
    Alexander C. Seymour
    U.S. Geological Survey
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8122 (voice)
    727-502-8001 (FAX)
    aseymour@usgs.gov
    Data sources produced in this process:
    • NC_Dune_Condition_Codes_GDB
    Date: 13-Oct-2022 (process 2 of 3)
    The data included in this release is a point feature class of the dune condition codes stored in a file geodatabase (.gdb), along with a comma-delimited ASCII table (.csv) for users that do not have the ability to open and view Geographic Information Systems (GIS) file formats. The dune condition code ASCII table was generated by inputting the geodatabase feature class into the ‘Feature Class to ASCII’ ArcGIS Pro geoprocessing tool. Person who carried out this activity:
    Alexander C. Seymour
    U.S. Geological Survey
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8122 (voice)
    727-502-8001 (FAX)
    aseymour@usgs.gov
    Data sources used in this process:
    • NC_Dune_Condition_Codes_GDB
    Data sources produced in this process:
    • NC_Dune_Condition_Codes_ASCII
    Date: 13-Oct-2022 (process 3 of 3)
    To include additional visualizations of the feature class data, an ArcGIS Pro Map Package (.mpkx) was generated, which contains specific symbolization of the feature classes and charts that aid the user in interpreting and visualizing some of the most important attributes in the data. The geodatabase feature classes, both the dune condition code described in this metadata record (NC_Dune_Condition_Codes_GDB), and time series features (NC_Time_Series_Features_GDB, described in NC_Time_Series_Features_Metadata) were added to a new ArcGIS Pro map. Map symbology was established by setting the symbology type to Unique Values and selecting the ‘Elevation Condition’, ‘Elevation Trend’, and ‘Migration Trend’ fields, and classifying/coloring those symbol classes. The rational for the symbol types and colors are described in Seymour and Others (2024). Scatterplots displaying interannual dune elevation and cross shore position change were created by selecting the time series features and clicking on the scatter plot option under the Create Charts button within the Data toolbar tab. The ‘Survey Year’ field was chosen as the x-axis and the ‘Mean Dune Elevation’ or ‘Mean Dune Position’ was chosen as the y-axis. Bar charts displaying the frequency of dune condition codes were created by selecting the dune condition code features and clicking on the Bar Chart option under the Create Charts button within the Data toolbar tab. The ‘Condition Code’ field was chosen as the category variable and the Count option was chosen for aggregation. The Hybrid Reference Layer and World Imagery basemaps were also added to the map layout. For more information about these basemaps, refer to: Hybrid Reference Layer (https://www.arcgis.com/home/item.html?id=30d6b8271e1849cd9c3042060001f425) and World Imagery (https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer). The map and its associated schema were then exported to a Map Package by clicking the ‘New Map Package’ command in the ‘Share’ tab in ArcGIS Pro. Person who carried out this activity:
    Alexander C. Seymour
    U.S. Geological Survey
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8122 (voice)
    727-502-8001 (FAX)
    aseymour@usgs.gov
    Data sources used in this process:
    • NC_Dune_Condition_Codes_Time_Series.gdb
    • NC_Dune_Condition_Codes_GDB
    • NC_Time_Series_Features_GDB
    Data sources produced in this process:
    • NC_Dune_Condition_Codes_Time_Series_Map_Pack.mpkx
    • NC_Dune_Condition_Codes_Time_Series.zip
  3. What similar or related data should the user be aware of?
    Seymour, Alexander C., Ciarletta, Daniel J., Doran, Kara S., Parker, Kai, and Palmsten, Margaret L., 20260305, Decadal-scale characteristics of natural and anthropogenic dune morphology along North Carolina barrier islands (SE Atlantic coast): Journal of Coastal Research Unknown.

    Online Links:

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
  2. How accurate are the geographic locations?
    Uncertainties for rates of dune crest cross-shore migration are described by 95% confidence intervals. Uncertainties for time series beach slope and beach width are described by 95% confidence intervals. Confidence intervals are standard diagnostic metrics produced by generalized linear regressions. For more information on how these regressions were calculated, see Seymour and others (2024). Horizontal positions were projected to the World Geodetic System of 1984 (WGS 84) Universal Transverse Mercator Zone 18 North (UTM 18N) coordinate system.
  3. How accurate are the heights or depths?
    Uncertainties for final modeled dune elevations, as well as final modeled Q98 TWL (98% quantile total water level) elevations, are described by 95% prediction intervals for positions that are statistically increasing or decreasing, and by 95% confidence intervals for positions that are no net elevation change. Uncertainties for rates of dune crest elevation change are described by 95% confidence intervals. Uncertainties for mean time series dune crest elevation and Q98 TWL elevation are described by 95% confidence intervals. Confidence and prediction intervals are standard diagnostic metrics produced by generalized linear regressions. For more information on how these regressions were calculated, see Seymour and others (2024). Vertical positions were referenced to the North American Vertical Datum of 1988 (NAVD88).
  4. Where are the gaps in the data? What is missing?
    This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    Uncertainty estimates were produced for all results.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints None
Use_Constraints Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Attn: USGS SPCMSC Data Management
    600 4th Street South
    Saint Petersburg, FL
    United States

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov
  2. What's the catalog number I need to order this data set? NC_Dune_Condition_Codes_GDB.gdb, NC_Dune_Condition_Codes_ASCII.csv, NC_Dune_Condition_Codes_Time_Series_Map_Pack.mpkx
  3. What legal disclaimers am I supposed to read?
    This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
  4. How can I download or order the data?
  5. What hardware or software do I need in order to use the data set?
    The geodatabase feature class and ArcGIS Map Package were created for the use within Esri ArcGIS Pro software (3.0.3 or newer). The ASCII table data were created for the use within Microsoft Excel, or similar text viewers, such as Notepad.

Who wrote the metadata?

Dates:
Last modified: 10-Mar-2026
Metadata author:
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
Attn: USGS SPCMSC Data Management
600 4th Street South
Saint Petersburg, FL
United States

727-502-8000 (voice)
gs-g-spcmsc_data_inquiries@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/NC_Dune_Condition_Codes_metadata.faq.html>
Generated by mp version 2.9.51 on Wed Mar 11 16:31:19 2026