U.S. Geological Survey, and Colorado, University of , 2005, ATL_FAC: usSEABED facies data for the entire U.S. Atlantic Coast:.This is part of the following larger work.Online Links:
- <https://pubs.usgs.gov/ds/2005/118/data/atl_fac.zip>
- <https://pubs.usgs.gov/ds/2005/118/htmldocs/data_cata.htm>
Reid, J.M., Reid, J.A., Jenkins, C.J., Hastings, M.E., Williams, S.J., and Poppe, L.J., 2005, usSEABED: Atlantic Coast Offshore Surficial Sediment Data Release: Data Series 118, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center, Woods Hole, MA.Online Links:
This is a Vector data set. It contains the following vector data types (SDTS terminology):
Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in Decimal degrees.
The horizontal datum used is North American Datum of 1983.
The ellipsoid used is Geodetic Reference System 80.
The semi-major axis of the ellipsoid used is 6378137.000000.
The flattening of the ellipsoid used is 1/298.257222.
Sequential unique whole numbers that are automatically generated.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a foraminifera, benthic foraminifera, planktonic foraminifera, large foraminifera, or arenaceous foraminifera component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a specific shell or shell debris component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a coralline algae, coral algae, halimeda, or calcareous algae component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
location information in decimal degrees
Subsample location information in meters
Unique sequential numeric key to information about the same site in other usSEABED data files
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a specific carbonate, calcareous crust, calcite, dolomite, limestone, or siderite component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a specific volcanic rock (volrck and vol_rck), basalt, pumice, volcanic glass, or volcanic sediment; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a organic carbon, bitumin, coal, or peat component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a diatom, radiolaria, or siliceous ooze component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a coral, coral reef, coral debris, or solitary coral component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Sequential unique whole numbers that are automatically generated.
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a calcareous ooze, siliceous ooze, or other ooze component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
Coordinates defining the features.
location information in decimal degrees
Unique sequential numeric key to SRC file
Unique sequential numeric key to information about the same sample or subsample in other usSEABED data files
Result of filters based on fuzzy set theory determining degree of membership (0-100) for samples that include those terms which denote a specific igneous rock, andesite, basalt, gabbro, ultramafic, or granite component; see table D in the data publication (Larger_Work_Citation) for list of trigger terms under each component mentioned.
We thank the following interns for their assistance in data entry, coding, and data testing: Viness Ubert, Emma Mitchell, Emily Denham and Shea Quinn.
Jane A. Reid
U.S. Geological Survey
Geologist
Pacific Science Center
Santa Cruz, CA 95060
USA
831-427-4727 (voice)
jareid@usgs.gov
- Contact_Instructions: email preferred
The Facies layer can be used to investigate the known information about a particular area of the seafloor. These data are intended for science researchers, policy makers, students, and the general public. The data can be used with geographic information systems (GIS) software to display geologic and oceanographic information.
Various, Unpublished and published material, See separate listing, ATL_SRC.txt, and links provided therein, within this publication for the specific sources and associated metadata.: Various, Various.
Person who carried out this activity:
U.S. Geological SurveyData sources produced in this process:
c/o Jamey M. Reid
IT Specialist (Data Management)
USGS Woods Hole Science Centers
Woods Hole, MA 02543-1598
(508) 548-8700 x2204 (voice)
jreid@usgs.gov
- Contact_Instructions: email preferred
Accuracy of each attribute is dependent on the accuracy of the original source description and the values calculated by the mining software, dbSEABED. Values are based on filters using fuzzy set theory and represent a measure of truth about the attribute.
Locational accuracy is dependent on both the accuracy of the navigational technique and the level of detail about the location as recorded in the individual data sources, and may vary widely (ie.g., from 0.005 km (differential GPS) in the more recent surveys to greater than 2 km based on radar, Loran, or dead reckoning in the older surveys. Users of the data should note the metadata written about the original sources and use their own criteria for assessing the accuracy of the locations.
Depth determinations, both water depth and subsample depth, are dependent on the accuracy of the depth determination technique and the level of detail noted in the original source. Users of the data should note the metadata written about the original sources and use their own criteria for assessing the accuracy of the locations.
Additional useable data may exist in this area; the authors appreciate any information and leads.
Data in the usSEABED data collection are based on the observations and analyses of others, filtered through a unifying and mining software. Each source report varies in type of information/data recorded and format. Only those observations that are recorded can be filtered and mined; only presence (not absences) of information can be noted.
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 the proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information.
U.S. Geological Survey
c/o Jamey M. Reid
IT Specialist (Data Management)
USGS Woods Hole Science Center
Woods Hole, MA 02543-1598
(508) 548-8700 x2204 (voice)
jreid@usgs.gov
- Contact_Instructions: email preferred
Downloadable Data
Although this data set has been used by the U.S. Geological Survey (USGS), no warranty, expressed or implied, is made by the USGS as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials.Trade, firm, or product names and other references to non-USGS products and services are provided for information only and do not constitute endorsement or warranty, express or implied, by the USGS, USDOI, or U.S. Government, as to their suitability, content, usefulness, functioning, completeness, or accuracy.
| Data format: | Text file containing data input to usSEABED. Fields are comma separated values. First record of file contains field names. in format ASCII text Size: 2.17 MB |
|---|---|
| Network links: |
<https://pubs.usgs.gov/ds/2005/118/data/atl_fac.txt> <https://pubs.usgs.gov/ds/2005/118/htmldocs/data_cata.htm> |
| Data format: | The SHP file contains the geospatial data. The SHX file contains the index of the geospatial data. The DBF file contains the attribute data in dBASE format. The PRJ file contains the coordinate system information (optional). The AVL file contains the legend information (optional). The SBN and SBX files contain the spatial index of the geospatial data (optional). The XML file contains the metadata describing the data set <data set name>.shp.xml. An ASCII version of the metadata file. A browse graphic showing the data layer coverage and extent (optional). in format SHP ESRI Shapefile |
|---|---|
| Network links: |
<https://pubs.usgs.gov/ds/2005/118/data/atl_fac.zip> <https://pubs.usgs.gov/ds/2005/118/htmldocs/data_cata.htm> |
These data are available in Environmental Systems Research Institute (ESRI) shapefile format. The user must have ArcGIS® or ArcView® 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, arcexplorer, capable of displaying the data is available from ESRI at www.esri.com.
Jane A. Reid
U.S. Geological Survey
Geologist
Pacific Science Center
Santa Cruz, CA 95060
USA
831-427-4727 (voice)
jareid@usgs.gov
- Contact_Instructions: email preferred
