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Comparative Archaeology Database, University of Pittsburgh
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Trapiche Itapalluni Colonial Mining Dataset |
This dataset complements the dissertation Marginalized Labor in Colonial Silver Refining: Reconstructing Power and Identity in Colonial Peru (1600-1800 AD) by Sarah A. Kennedy (which can be freely downloaded from the University of Pittsburgh's Electronic Theses and Dissertations Database). It provides detailed data on chemical, faunal, soil, ceramic, lithic, and metal materials excavated from a colonial period silver refinery, Trapiche Itapalluni, in the Puno Bay of Peru. The data are discussed in full in the dissertation, whose contents are as follows:
- Chapter 1: Introduction
- Chapter 2: The Modernization of Silver Refining
- Chapter 3: Environmental and Historical Setting
- Chapter 4: Silver Refineries of the Puno Bay
- Chapter 5: Space Syntax Analysis of Three Puno Bay Refineries
- Chapter 6: Identifying Metallurgical Activity with pXRF
- Chapter 7: Excavation, Features, and Site Occupation
- Chapter 8: Artifact Analysis
- Chapter 9: Discussion and Interpretations
- Chapter 10: Conclusions
Funding to collect the data presented here was provided by the Wenner-Gren Foundation (Grant #9605), the John Carter Brown Library, the Dumbarton Oaks Research Library and Collection, the University of New South Wales Mark Wainwright Analytical Centre, and the University of Pittsburgh, including grants from their Center for Comparative Archaeology, Center for Latin American Studies, International Studies Fund, and Anthropology Department.
Kennedy, Sarah (2022) Marginalized Labor in Colonial Silver Refining: Reconstructing Power and Identity in Colonial Peru (1600-1800 AD). Ph.D. Dissertation, Department of Anthropology, University of Pittsburgh.
Kennedy, Sarah (2023) Trapiche Itapalluni Colonial Mining Dataset. Comparative Archaeology Database, University of Pittsburgh. URL: <http://www.cadb.pitt.edu>.
Questions or comments about this dataset or the Comparative Archaeology Database can be directed to cadb@pitt.edu via email.
Numeric data are provided in two file formats. Comma-delimited text files should be easy to import into spreadsheet, database, and statistical programs for manipulation and analysis. Excel spreadsheets are easier to browse, and can also be imported into many programs. The numeric data files are as follows:
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