Gas Chromatography-Mass Spectrometry data of adhesives and adhesive ingredients used in Zambia and collected during ethnographic research

The samples included in this dataset were collected as part of an ethnographic study in May and August 2022. The Humanities and Social Sciences Research Ethics committee of the University of Zambia (HSSREC) approved this study (reference number HSSREC-2021-JUL-005). Many thanks to Pr. David Chuba and Ms. Florence Nyirenda at the University of Zambia and Ms. Chabwera Phiri at Livingstone Museum for providing access to the herbarium collection and advise in the specimen identification. This research was approved by the Natural Heritage Conservation Commission (NHCC) of Zambia. The GC-MS dataset was formed between May and August 2023 as part of the Ancient Adhesives project under the European Union’s Horizon 2020 research and innovation programme Grant Agreement No. 678 804151 (Grant holder G.H.J.L.). It is being made public to act as supplementary data for publications and for other researchers to use this data in their own work. Due to the nature of the GC-MS data, all raw files have been supplied which will allow further processing in the original software. The dataset includes 26 .zip files with the raw GC-MS data and two .xlsx files containing the processed and summarized information. Each .zip file contains the files necessary to open and manipulate the data using the original software Agilent OpenLab 2.5.

本数据集收录的样本采集自2022年5月至8月开展的一项民族志研究。赞比亚大学人文与社会科学研究伦理委员会（Humanities and Social Sciences Research Ethics committee of the University of Zambia）批准了本研究，批准编号为HSSREC-2021-JUL-005。谨此感谢赞比亚大学的David Chuba教授、Florence Nyirenda女士，以及利文斯顿博物馆的Chabwera Phiri女士，感谢她们提供植物标本馆馆藏访问权限并协助完成标本鉴定工作。本研究同时获得赞比亚自然遗产保护委员会（Natural Heritage Conservation Commission, NHCC）批准。
本气相色谱-质谱联用（Gas Chromatography-Mass Spectrometry, GC-MS）数据集采集于2023年5月至8月，隶属于欧盟“地平线2020”研究与创新计划资助的“古代胶粘剂”项目，资助协议编号为No. 678 804151（项目负责人：G.H.J.L.）。本数据集公开发布，旨在为相关学术出版物提供补充数据，供其他研究人员用于自身研究工作。鉴于GC-MS数据的特性，本数据集提供了全部原始文件，可在原始配套软件中进行进一步处理。
本数据集包含26个存放原始GC-MS数据的.zip格式压缩包，以及2份包含处理后汇总信息的.xlsx格式文件。每个.zip压缩包均包含使用安捷伦OpenLab 2.5（Agilent OpenLab 2.5）软件打开、操作该数据所需的全部文件。