摘要：Archaeologists increasingly use large radiocarbon databases to model prehistoric human demography (also termed paleo-demography) . Numerous independent projects, funded over the past decade, have assembled such databases from multiple regions of the world . These data provide unprecedented potential for comparative research on human population ecology and the evolution of social-ecological systems across the Earth . However, these databases have been developed using diferent sample selection criteria, which has resulted in interoperability issues for global-scale, comparative paleo- demographic research and integration with paleoclimate and paleoenvironmental data . We present a synthetic, global-scale archaeological radiocarbon database composed of 180,070 radiocarbon dates that have been cleaned according to a standardized sample selection criteria . This database increases the reusability of archaeological radiocarbon data and streamlines quality control assessments for various types of paleo-demographic research . As part of an assessment of data quality, we conduct two analyses of sampling bias in the global database at multiple scales . This database is ideal for paleo-demographic research focused on dates-as-data, bayesian modeling, or summed probability distribution methodologies .
