This study presents the results of a major data integration project bringing together primary archaeozoological data for over 200,000 faunal specimens excavated from seventeen sites in Turkey spanning the Epipaleolithic through Chalcolithic periods, c. 18,000-4,000 cal BC, in order to document the initial westward spread of domestic livestock across Neolithic central and western Turkey. From these shared datasets we demonstrate that the westward expansion of Neolithic subsistence technologies combined multiple routes and pulses but did not involve a set ‘package’ comprising all four livestock species including sheep, goat, cattle and pig. Instead, Neolithic animal economies in the study regions are shown to be more diverse than deduced previously using quantitatively more limited datasets. Moreover, during the transition to agro-pastoral economies interactions between domestic stock and local wild fauna continued. Through publication of datasets with Open Context (opencontext.org), this project emphasizes the benefits of data sharing and web-based dissemination of large primary data sets for exploring major questions in archaeology (Alternative Language Abstract S1).
The impact of changing climate on terrestrial and underwater archaeological sites, historic buildings, and cultural landscapes can be examined through quantitatively-based analyses encompassing large data samples and broad geographic and temporal scales. The Digital Index of North American Archaeology (DINAA) is a multi-institutional collaboration that allows researchers online access to linked heritage data from multiple sources and data sets. The effects of sea-level rise and concomitant human population relocation is examined using a sample from nine states encompassing much of the Gulf and Atlantic coasts of the southeastern United States. A 1 m rise in sea-level will result in the loss of over >13,000 recorded historic and prehistoric archaeological sites, as well as over 1000 locations currently eligible for inclusion on the National Register of Historic Places (NRHP), encompassing archaeological sites, standing structures, and other cultural properties. These numbers increase substantially with each additional 1 m rise in sea level, with >32,000 archaeological sites and >2400 NRHP properties lost should a 5 m rise occur. Many more unrecorded archaeological and historic sites will also be lost as large areas of the landscape are flooded. The displacement of millions of people due to rising seas will cause additional impacts where these populations resettle. Sea level rise will thus result in the loss of much of the record of human habitation of the coastal margin in the Southeast within the next one to two centuries, and the numbers indicate the magnitude of the impact on the archaeological record globally. Construction of large linked data sets is essential to developing procedures for sampling, triage, and mitigation of these impacts.
Many scholars avoid employing "legacy" datasets, even if accessible, because of perceived unknowns in using data collected by others. This study explored issues in using data generated by other analysts. Three researchers independently analyzed a legacy, decades-old zooarchaeological dataset and then compared their analytical approaches and results. Although they took a similar initial approach to determine the dataset's suitability for analysis, the three researchers generated markedly different interpretive conclusions. In examining how researchers use legacy data, this paper highlights interpretive issues, data integrity concerns, and data documentation needs. In order to meet these needs, this paper proposes greater formalism and professional recognition for data dissemination, favoring models of "data publication" over "data sharing" or "data archiving".
We applied a recently developed method of collagen peptide mass fingerprinting for taxonomic identification in faunal remains to 111 specimens from the Neolithic site of Domuztepe in southeastern Turkey. Advances on the published technique allow us to move beyond the key domesticated fauna (sheep, goat, pig and cattle) to include non-domesticates (deer and gazelle, as well as humans). As the animal economy of Domuztepe was dominated by domestic sheep and goats, a large number of the samples tested were morphologically indistinguishable sheep/goat remains. A number of samples represented elements that provide information on age (i.e., mandibles) or sex (pelvis); thus, this represents the first major study to attempt to improve kill-off profiles using collagen fingerprinting. We also show that the collagen extracted from dentine is equally amenable to the proposed methodology as bone collagen.
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