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FTIR spectra
Metadata
| Other contributing persons, institutions or organisations | Leue, Martin - Leibniz-Centre for Agricultural Landscape Research (ZALF), Working Group Hydropedology - Researcher | |
| Person(s) who is (are) responsible for the content of the research data | Zethof, Jeroen H.T. (ORCID: 0000-0001-8029-8617) | |
| Used research instruments or devices | Biorad FTS 135 spectrometer (BIO-RAD company, Cambridge, USA) | |
| Abstract | FTIR curves of the calibration sets, graphitic schist and artificial soil samples. This data was used as described in section 2.2.1. | |
| Applied methods and techniques | The DRIFT spectra (16 co-added scans, WN 4000 65 and 400 cm-1, resolution 4 cm-1) were corrected for ambient air using a background spectrum of a gold target (99 %; Infragold) and were converted to Kubelka–Munk units. All spectra were corrected for CO2 absorption of the ambient air between WN 2400 and 2280 cm-1 and smoothed (boxcar 70 moving average algorithm, factor for transmission spectra: 25, factor for DRIFT spectra: 15) using the software WINIR Pro 3.4 (Digilab, MA, USA). For each sample one mean spectrum was calculated from the spectra of three replicate spectra. | |
| Series information | Provided by dr. Martin Leue of the Leibniz-Centre for Agricultural Landscape Research (ZALF), Research Area 1 Landscape Functioning, Working Group Hydropedology (Müncheberg, Germany) | |
| Year or period of data production | 2017-2019 | |
| Publication year | 2019 | |
| Publisher | Technische Universität Dresden | |
| References on related materials | IsPartOf: 123456789/1661 (Handle) | |
| References on related materials | IsPartOf: 10.5194/soil-5-1-2019 (DOI) | |
| Content of the research data | Other: Spectra, in Excel format | |
| Holder of usage rights | Technische Universität Dresden | |
| Usage rights of the data | CC-BY-4.0 | |
| Software | Resource Processing: WINIR Pro 3.4 | |
| Discipline(s) | Geological Science | de |
| Discipline(s) | Agriculture | de |
| Title of the dataset | FTIR spectra |
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Accompanying materials for the publication: "Identifying and quantifying geogenic organic carbon in soils – the case of graphite" [3]
Data underlying the figures of the research paper: "Identifying and quantifying geogenic organic carbon in soils – the case of graphite" (SOIL Copernicus journal) https://doi.org/10.5194/soil-5-1-2019