<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:creator>Oak Ridge National Laboratory</dc:creator><dc:description>Global population database for the year 2023.</dc:description><dc:description>The LandScan Silver Edition represents a major methodological advancement in the LandScan program, leveraging the geospatial datasets and LandScan Global 2022 datasets to train the machine learning models. This release builds on the legacy of previous versions while introducing key improvements in reproducibility, transparency, and efficiency. It also enhances the review process and accelerates revisions, contributing to a more robust and reliable global population dataset.</dc:description><dc:format>GeoTIFF</dc:format><dc:identifier>88-0001_gl_2023</dc:identifier><dc:language>eng</dc:language><dc:publisher>Oak Ridge National Laboratory</dc:publisher><dc:rights>Public</dc:rights><dc:subject>Population</dc:subject><dc:title>LandScan Global Silver Edition {2023}</dc:title><dc:type>Datasets</dc:type><dc:coverage>World</dc:coverage><dc:date>2023</dc:date></oai_dc:dc>