Journal of Archaeological Science

JavaScript code to be implemented in Google Earth Engine(c) developed by H.A. Orengo to accompany the paper: Orengo, H.A. and Garcia-Molsosa, A. 2019. 'A brave new world for archaeological survey: automated machine learning-based potsherd detection using high-resolution drone imagery' submitted to the Journal of Archaeological Science.

These are radiocarbon ages and summed probability distributions for all known archaeological residential features associated with Baekje material culture from the Three Kingdoms Period of Korea (57 BC to AD 688). Radiocarbon data (SM1_raw data_Radiocarbon dates ) have been calibrated according to Reimer et al, (2013) using OxCal 4.3.2. Summed probability distributions (SM2_SPD data) were also calculated in OxCal 4.3.2 according to Bronk Ramsey (2017). Interpretations and uses of the data from the paper are abstracted as follows: Archaeologists typically use radiocarbon ages to date human activities on archaeological sites. However, radiocarbon ages can also serve as independent proxies for human demographic patterns through space and time. Spatial modeling of archaeological data often involves taking diachronic datasets and developing synchronic views of the distribution of cultural patterns. Here, we evaluate spatial dynamics of human activity areas assayed by radiocarbon ages in the Baekje Kingdom of Korea before and after the invasion of Koguryeo, which is historically documented as occurring in AD 475. The statistical techniques used in this research apply spatial autocorrelations on archaeological sites with weighted attributes from summed probability distributions (SPDs) to evaluate regional scale diachronic changes from radiocarbon datasets. Ripley’s K analysis shows an increasing tendency toward clustering of weighted SPD attributes from sites after AD 325. The Getis-Ord Gi* statistic shows the changing hot spots of Baekje settlement shift prior and concurrent to the establishment of a military zone in northern Gyeonggi Province, South Korea. The settlement systems realign from clusters in the north and south of the province to clusters in the southeast with avoidance of the north. References: Bronk Ramsey, C., 2017. Methods for summarizing radiocarbon datasets. Radiocarbon 59, 1809-1833. https://doi.org/10.1017/RDC.2017.108. Reimer, P.J., Bard, E., Bayliss, A., Beck, J.W., Blackwell, P.G., Bronk Ramsey, C., Buck, C.E., Cheng, H., Edwards, R.L., Friedrich, M., Grootes, P.M., Guilderson, T.P., Haflidason, H., Hajdas, I., Hatté, C., Heaton, T.J., Hoffmann, D.L., Hogg, A.G., Hughen, K.A., Kaiser, K.F., Kromer, B., Manning, S.W., Niu, M., Reimer, R.W., Richards, D.A., Scott, E.M., Southon, J.R., Staff, R.A., Turney, C.S.M., van der Plicht, J., 2013. IntCal13 and Marine13 radiocarbon age calibration curves 0–50,000 years cal BP. Radiocarbon 55, 1869-1887.

pXRF analyses of 466 Medieval and Early Modern seal matrices from the national French Archive Institution and the Fine Arts Museum of Lyon.

Appendix A - Data and QA/QC of certified reference materials of XRF.

Data set for Smith et al. Synanthropes

This dataset is a compilation of published archaeological 87Sr/86Sr data from the Andes, as of September 2019.

Script to create polygons that would include a minimum of 5 artefacts, unevenly distributed

Stable isotopes data from incremental sections of dentin from the archaeological site of Taumako (Solomon Islands)

These files show the raw data on enamel hypoplasias, dental morphology, and the combination between the presence of the former and fluctuating asymmetry on dental non-metric traits in three prehistoric samples from the Iberian Peninsula

This Excel spreadsheet contains the raw data used to generate the spatial and statistical results in the study, 'Using Polygons to Model Maritime Movement in Antiquity'. The information associated with the archaeological sites is drawn from a variety of primary and secondary sources; for more information, please visit 'Data Collection' at https://kudar.ku.edu.tr/research-amd/.