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Title: Global Population Distribution (1990),Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis

This data base contains gridded (one degree by one degree) information on the world-wide distribution of the population for 1990 and country-specific information on the percentage of the country's population present in each grid cell (Li, 1996a). Secondly, the data base contains the percentage of a country's total area in a grid cell and the country's percentage of the grid cell that is terrestrial (Li, 1996b). Li (1996b) also developed an indicator signifying how many countries are represented in a grid cell and if a grid cell is part of the sea; this indicator is only relevant for the land, countries, and sea-partitioning information of the grid cell. Thirdly, the data base includes the latitude and longitude coordinates of each grid cell; a grid code number, which is a translation of the latitude/longitude value and is used in the Global Emission Inventory Activity (GEIA) data bases; the country or region's name; and the United Nations three-digit country code that represents that name.
Authors:
 [1] ;  [2]
  1. Canadian Global Emissions Inventory Centre, Downsview, Ontario (Canada)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Report Number(s):
DB1016 (8-1996)
Product Type:
Dataset
Research Org(s):
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Carbon Dioxide Information Analysis Center (CDIAC); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Collaborations:
Carbon Dioxide Information Analysis Center (CDIAC)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1389495

Li, Yi-Fan, and Brenkert, A. L.. Global Population Distribution (1990),Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis. United States: N. p., Web. doi:10.3334/CDIAC/LUE.DB1016.
Li, Yi-Fan, & Brenkert, A. L.. Global Population Distribution (1990),Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis. United States. doi:10.3334/CDIAC/LUE.DB1016.
Li, Yi-Fan, and Brenkert, A. L.. 1996. "Global Population Distribution (1990),Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis". United States. doi:10.3334/CDIAC/LUE.DB1016. https://www.osti.gov/servlets/purl/1389495.
@misc{osti_1389495,
title = {Global Population Distribution (1990),Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis},
author = {Li, Yi-Fan and Brenkert, A. L.},
abstractNote = {This data base contains gridded (one degree by one degree) information on the world-wide distribution of the population for 1990 and country-specific information on the percentage of the country's population present in each grid cell (Li, 1996a). Secondly, the data base contains the percentage of a country's total area in a grid cell and the country's percentage of the grid cell that is terrestrial (Li, 1996b). Li (1996b) also developed an indicator signifying how many countries are represented in a grid cell and if a grid cell is part of the sea; this indicator is only relevant for the land, countries, and sea-partitioning information of the grid cell. Thirdly, the data base includes the latitude and longitude coordinates of each grid cell; a grid code number, which is a translation of the latitude/longitude value and is used in the Global Emission Inventory Activity (GEIA) data bases; the country or region's name; and the United Nations three-digit country code that represents that name.},
doi = {10.3334/CDIAC/LUE.DB1016},
year = {1996},
month = {1} }
  1. The U.S. Department of Energy’s (DOE) Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a data archive for Earth and environmental science data. The mission of ESS-DIVE is to preserve, expand access to, and improve usability of critical data generated through DOE-sponsored research of terrestrial and subsurface ecosystems. By making ESS research data easily accessible, ESS-DIVE has the potential to advance the scientific understanding and prediction of hydro-biogeochemical and ecosystem processes that occur from bedrock through soil and vegetation to the atmospheric interface.
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