FTIR spectra of 11 palm-leaf manuscripts
Description
This dataset was created in the context of the Research Field F (RFF02), Research Field A, and the Palm-Leaf Manuscript Profiling Initiative (PLMPI) at the Centre for the Study of Manuscript Cultures (CSMC) and Cluster of Excellence ‘Understanding Written Artefacts’ (UWA).ManuscriptsEleven palm-leaf manuscripts presumably from Indonesia, Sri Lanka, India and Myanmar were measured between 2021 and 2023: CSMC, Object No. 1/2014 CSMC, Object No. 1/2017 CSMC, Object No. 1/2018 CSMC, Object No. T 12/2021 CSMC, Object No. T 29/2021 CSMC, Object No. T 32/2021 CSMC, Object No. T 33/2021 CSMC, Object No. T 34-1/2021 CSMC, Object No. T 34-2/2021 CSMC, Object No. T add. 6/2021 Private Collection, MS Tamil 1 SpectraThe spectra were recorded with the portable FTIR spectrometer 4100 ExoScan (Agilent) in DRIFTS mode. The raw spectra are stored as .spc files together with a documentation protocol file (.pdf) on the exact measuring points.Spectra file names are structured as follows:
"Date of the measurement_Name of the instrument_accessory name_no. of scans_name of the manuscript_measurement name.spc" Date of the measurement: yyyymmdd Name of the instrument: E for ExoScan accessory name: DRIFT no. of scans: 256 name of the manuscript: Object No. (see above) measurement name: "page image name_page_area_No" page image name: e.g. DSC0015 page: no. of measured page and r,v (recto, verso) area: measurement area (leaf, ink, stain...) No: number of measurement (on this page) Interactive visualizationThe "01_InteractiveVisualisation.html" file is a standalone website that shows the individual spectra and the chemometric analysis of the data. The presented analysis and data should be considered as an overview and addition to the published article and data. Some of the shown data is simplified for this interactive demonstration and may not reflect reality.
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Publication Details
DOI
Publisher
Universität Hamburg
Subfield
Information Systems and Management
Field
Decision Sciences
Domain
Social Sciences
Confidence Score
37%
Source
Scholar Data Model