This paper aims to correlate the geomorphological, sedimentological and micropaleontological data with archeological and geoarcheological information of the Upper Holocene.
This is an important issue in the selection of materials for the containment of high-level nuclear waste (HLNW), because of the excessively long performance horizon (up to 106 years), and in interpreting corrosion data from archeological artifacts.
By combining these genetic data with archeological and linguistic information, anthropologists have been able to discern the origins of Homo sapiens in Africa and to track the timing and location of the waves of human migration out of Africa that led to the eventual spread of humans to other continents of the globe.
GEOMAGIA50.v3 for sediments builds upon the structure of the pre-existing GEOMAGIA50 database for magnetic data from archeological and volcanic materials.
Furthermore, the amount of paleomagnetic data from archeological materials and lavas decreases greatly prior to 2 ka (see Brown et al. 2015; Donadini et al. 2009).
GEOMAGIA50 originally began in 2006 as a database of global field intensity data from archeological and volcanic materials (Donadini et al. 2006; Korhonen et al. 2008).
The ARCH3k database by Donadini et al. (2009) contains 2,671 declination, 4,174 inclination, and 2,670 intensity data from archeological artifacts and lavas for the past 3 kyr.
Brown et al. (2015a) presented the development of a database dealing with paleomagnetic data for archeological and volcanic materials, which contains 14,645 data (declination, inclination, and paleointensity) from 461 studies published between 1959 and 2014.
Besides, demographic models inferred from genetic data complement archeological evidence in understanding pre-historical events, such as number and timing of major continental fluctuations of population size as well as migration.
The GEOMAGIA50 database for sediments is an expansion of the GEOMAGIA50 database, which previously housed only magnetic data from archeological and volcanic materials (Brown et al. 2015; Donadini et al. 2006; Korhonen et al. 2008).
