Georeferenced and cataloged dataset built from Nimuendajú's Ethnohistorical Map

This is a publicly available georeferenced ethnohistoric dataset based on Nimuendajú (2017). These data were first used in Barsanetti and Ferreira (2024). We have made this folder available to the wider public for use in academic, not-for-profit research. If you use these data in one of your papers, please cite the data (DOI: 10.5281/zenodo.12772630) and also the following references (or newer versions of them): 

Nimuendajú, Curt (2017). Mapa Etno-Histórico do Brasil e Regiões Adjacentes. Brasília: Instituto do Patrimônio Histórico e Artístico Nacional, Instituto Brasileiro de Geografia e Estatística.

Barsanetti, Bruno, and Alípio Ferreira (2024). “Historical Indigenous Extinctions and Modern Deforestation in the Amazon.” Working paper.

Please refer to Barsanetti and Ferreira (2024) for a detailed explanation of the dataset and preparation and a discussion of its strengths and limitations. Please read the "Read Me" file for details on the files, which are in the compressed folder "Compressed Data". We appreciate the research assistance of Matheus Dutra, Alan Gayger, Lilian Kingston Freitas, and Alexandre Portugal. Please contact us by email at [e-mail] for any inquiries. This version of the dataset was published on July 18, 2024.

Bruno Barsanetti, EPGE Brazilian School of Economics and FinanceAlipio Ferreira, Southern Methodist University

本数据集为公开可用的地理参考（georeferenced）民族史（ethnohistoric）数据集，其核心数据源源自Nimuendajú（2017）的研究成果。该数据集首次被应用于Barsanetti与Ferreira（2024）的研究工作。我们现将此文件夹向广大公众开放，仅可用于学术研究及非营利性用途。若您在学术论文中使用本数据集，请同时引用本数据集的DOI（10.5281/zenodo.12772630），以及以下两篇参考文献（或其更新版本）：

- 库尔特·尼门达朱（Curt Nimuendajú），2017年。《巴西及毗邻地区民族史地图》（Mapa Etno-Histórico do Brasil e Regiões Adjacentes）。巴西利亚：国家历史与艺术遗产研究所（Instituto do Patrimônio Histórico e Artístico Nacional）、巴西地理与统计研究所（Instituto Brasileiro de Geografia e Estatística）。
- 布鲁诺·巴萨内蒂（Bruno Barsanetti）、阿利皮奥·费雷拉（Alípio Ferreira），2024年。《亚马逊地区原住民历史灭绝与现代森林砍伐》（Historical Indigenous Extinctions and Modern Deforestation in the Amazon）。工作论文。

如需了解本数据集的详细说明、数据制备流程以及其优势与局限性的讨论，请参阅Barsanetti与Ferreira（2024）的研究成果。关于压缩文件夹“Compressed Data”内的文件详情，请查阅其中的“Read Me”文件。我们感谢Matheus Dutra、Alan Gayger、Lilian Kingston Freitas以及Alexandre Portugal提供的研究协助。如有任何疑问，请通过电子邮件联系我们：[e-mail]。本数据集版本发布于2024年7月18日。

布鲁诺·巴萨内蒂，巴西经济与金融学院（EPGE）；阿利皮奥·费雷拉，南卫理公会大学（Southern Methodist University）