Gas Chromatography-Mass Spectrometry data used to identify ancient aceramic birch tar production methods
收藏4TU.ResearchData2023-10-23 更新2026-04-23 收录
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https://data.4tu.nl/datasets/87cdb877-3757-4e05-8618-906140752a83/1
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This data set contains Gas Chromatography-Mass Spectrometry (GC-MS) data of 29 experimentally produced birch bark tars using aceramic methods - condensation, ash mound, pit roll, and raised structure. Analysis of the molecular signature was conducted to form a comparative database that can be used to enhance the understanding of ancient tar production methods that could have been applied before the invention of pottery by early hunter gatherers.<br>The attached data provides additional information on the chemical composition of the experimental birch bark tars. The dataset is made up of 2 types of files: Raw GC-MS data in .zip files for each experiment (containing .acaml, .dx, .mfx, .bin, .rx, .pmx, .amx) that can be used for further analysis and .xlsx files documenting information about the tar samples. The .xlsx files contains peaks automatically assigned by the software from the NIST database and may contain errors.
本数据集包含29份通过四种无陶工艺——冷凝法、灰堆法、坑卷法及抬升结构法——实验制备的桦树皮焦油的气相色谱-质谱联用法(GC-MS)数据。本数据集通过对分子特征的分析构建了对比数据库,旨在加深对早期狩猎采集者在陶器发明前可能采用的古代焦油制备工艺的认知。
附加数据提供了实验制备桦树皮焦油的化学成分相关补充信息。本数据集包含两类文件:一是可用于后续分析的各实验原始GC-MS数据压缩包(.zip格式,内含.acaml、.dx、.mfx、.bin、.rx、.pmx、.amx格式文件);二是记录焦油样品相关信息的.xlsx文件。其中.xlsx文件包含由软件基于美国国家标准与技术研究院(NIST)数据库自动匹配标注的色谱峰,可能存在标注误差。
提供机构:
Langejans, G.H.J.; Baron, Liliana
创建时间:
2023-10-23



