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

doi: 10.4121/b1c2692e-38fa-4526-88ab-15b2ff782a0a.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/b1c2692e-38fa-4526-88ab-15b2ff782a0a
Datacite citation style:
Chasan, Rivka; Baron, Liliana; Fajardo, Sebastian; Langejans, Geeske (2024): Gas Chromatography-Mass Spectrometry data of adhesives and adhesive ingredients used in Zambia and collected during ethnographic research. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b1c2692e-38fa-4526-88ab-15b2ff782a0a.v1
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Dataset
Delft University of Technology logo
usage stats
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geolocation
Sinazongwe district, Zambia; Kitwe district, Zambia; Mongu district, Zambia; Kafue district, Zambia
licence
cc-by.png logo CC BY 4.0

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.

history
  • 2024-02-06 first online, published, posted
publisher
4TU.ResearchData
format
.zip (containing .ACAML, .DX, .MFX, .BIN, .RX, .PMX, and .AMX files) and .xlsx
funding
  • Ancient Adhesives - A window on prehistoric technological complexity (grant code 804151) [more info...] European Research Council
organizations
TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and Engineering; Department of Chemical Engineering, Delft, the Netherlands

DATA

files (29)