Multi-site Vegetation Species List and Cover Values (Excel) [Walker, D.]

This dataset contains species lists and cover values for the Barrow, Atqasuk, Oumalik, and Ivotuk grids on the Arctic Slope, Alaska. The data were collected from marked study plots in 1998 and 1999 for the Arctic Transitions in the Land-Atmosphere System (ATLAS) project and are in Excel format. See the README for additional information.

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Temporal Range

  • Begin:  1998-01-01T00:00:00Z
    End:  1999-12-31T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 1998-01-01T00:00:00Z
Temporal Range End 1999-12-31T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 71.30000
Bounding Box South Lat 68.50000
Bounding Box West Long -157.50000
Bounding Box East Long -155.60000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : veg_releve_bar_atq_o_readme.txt
Additional Information N/A
Resource Format XLS: Excel (application/vnd.ms-excel)
Standardized Resource Format Excel
Asset Size 1 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Donald A. (Skip) Walker
Amber Moody
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2011-09-14T17:35:51
Digital Object Identifier (DOI) https://doi.org/10.5065/D6TT4P47
Alternate Identifier 46.7390
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:51:28Z
Metadata Record Identifier edu.ucar.eol::46.7390
Metadata Language eng; USA
Suggested Citation Donald A. (Skip) Walker, Amber Moody. (2011). Multi-site Vegetation Species List and Cover Values (Excel) [Walker, D.]. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6TT4P47. Accessed 22 November 2024.

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