Ship data digitized in China, GODAR project

As part of the GODAR (Global Ocean Data Archeology and Rescue) surface marine ship data were digitized in China. The data were received from NCDC on CDROM.

To Access Resource:

Questions? Email Resource Support Contact:

  • Zaihua Ji
    zji@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1968
    End:  1993

Keywords

Resource Type dataset
Temporal Range Begin 1968
Temporal Range End 1993
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format ASCII
Standardized Resource Format ASCII
Asset Size 52.00 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Zaihua Ji
Resource Support Email zji@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 1999-06-28
Digital Object Identifier (DOI) https://doi.org/10.5065/5N87-6N58
Alternate Identifier ds541.4
Resource Version N/A
Topic Category oceans
Progress completed
Metadata Date 2024-01-03T15:11:46-07:00
Metadata Record Identifier edu.ucar.rda::ds541.4
Metadata Language eng; USA
Suggested Citation National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce. (1999). Ship data digitized in China, GODAR project. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/5N87-6N58. Accessed 18 April 2024.

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