(1) Overview
Repository location
Harvard Dataverse (Open Quaternary Dataverse) https://doi.org/10.7910/DVN/IBPF6T (Spedding et al. 2025).
Introduction
We present a database comprising records of vertebrates >2 kg identified from zooarchaeological remains found at sites across Egypt and Nubia from the Last Glacial Maximum to the end of the Ptolemaic Period in Egypt c. 22,000BC to 30BC as reported in the literature. The categories of faunal remains encompass bones including horncores, teeth, eggshells; mummies are excluded. The database is deposited in the Open Quaternary Dataverse (Harvard Dataverse) and provides a resource for researchers across disciplines investigating topics related to regional zoogeography and interactions between climate, human populations and biodiversity during the Holocene. The database was compiled as part of the Leverhulme-funded Biodiversity in Egyptian Archaeology during Societal Transitions (BEAST) project and has been used in the research reported in Lazagabaster et. al 2024, Bro-Jørgensen et al. 2025, and Spedding et al 2025.
Context
Spatial coverage
Description: Egypt; Sudan north of Khartoum (Nubia).
Northern boundary: 31.52842222, 31.89215556
Southern boundary: 15.6, 32.5
Eastern boundary: 21.916667, 25.016667
Western boundary: 23.908611, 35.4725
Temporal coverage
The temporal range covers the period from the Last Glacial Maximum to the end of the Ptolemaic Period in Egypt i.e. 22,000BC to 30BC.
(2) Methods
Steps
Published and unpublished zooarchaeological sources were searched intensively for records of remains from vertebrates ≥2 kg from Egypt and Nubia focusing on the period from the Last Glacial Maximum to the end of the Ptolemaic Period in Egypt c. 22,000BC-30BC. Soft shelled turtles were also included because of their usefulness as a climatic indicator. For each entry, the following data was recorded: Entry; Scientific_Name; Common_Name; ID_Certainty; Possible_Alternative_ID/Description; NISP; MNI; Type_of_remains; Region; Site; Context; Latitude; Longitude; Time_Period; Sub-Time_Period; Terminus Post Quem_(BC/AD); Terminus Ante Quem_(BC/AD); Terminus Post Quem_(BP); Terminus Post Quem_(BP); Notes; Bibliography.
Sampling strategy
Published sources included peer-reviewed journals, site reports (i.e. monographs, chapters in edited volumes, journal articles, newsletters), edited volumes and conference proceedings. Unpublished sources included PhD theses, reports, and personal communication.
Quality Control
The data is entered into the database as recorded in the source; references are given for the reader to assess the reliability themselves. Where the identification in the source is uncertain, it is noted in the column ‘ID_Certainty’.
Constraints
The coverage of the database will be biased by skews in the preservation of zooarchaeological material, its excavation, the ease of assigning remains to species, and the accessibility of records. For further details see associated metadata document (https://doi.org/10.7910/DVN/IBPF6T).
(3) Dataset description
Object name
The BEAST zooarchaeological database for Egypt and Nubia (c. 22,000-30BC)
Data type
Secondary data
Format names and versions
The BEAST zooarchaeological database for Egypt and Nubia (c.22,000-30BC).xlsx (Excel) version 1
Creation dates
01/04/2022 to 03/12/2024
Dataset Creators
NA
Language
English
License
CC0 1.0
Publication date
09/10/2025
(4) Reuse potential
This database can be used for aggregation, reference, and analysis. The database is comprehensive but not complete and depending on the scope of the study, the user can use the database as a starting point to be supplemented with additional entries. By sorting the database by different columns, or combination of columns, the data can be displayed in different ways that make it easy to use to get a quick overview of patterns in the faunal remains of the region by location, time and/or species. The data can be extracted for use in quantitative or qualitative analysis; however, the user is advised to refer to the original publications for quality control in cases of doubt, depending on the design of their study. Patterns in the database can be useful for identifying dubious entries in the literature.
Acknowledgements
Professor Chris Thomas, Department of Biology, York University.
