Automated Author ProfileSeifert, Stephan
University of Hamburg0000-0003-2567-5728
Seifert, Stephan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 6.4 (sum of 16 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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 1SpectraThe 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)
Authors
- Voges, Lucas F. ;
- Colini, Claudia ;
- Seifert, Stephan
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 1SpectraThe 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)
Authors
- Voges, Lucas F. ;
- Colini, Claudia ;
- Seifert, Stephan
This dataset was created at the Centre for the Study of Manuscript Cultures (CSMC) and Cluster of Excellence ‘Understanding Written Artefacts’ (UWA).Manuscripts19 palm-leaf manuscripts from India were measured Cod. Palmbl. II 208 (35.3208) Cod. Palmbl. I 8 (35.3008) Cod. Palmbl. I 5 (35.3005) Cod. Palmbl. III 118 (35.3363) Cod. Palmbl. II 209 (35.3209) Cod. Palmbl. I 33 (35.3033) Cod. Palmbl. I 24 (35.3024) Cod. Palmbl. I 170 (35.3170) Cod. Palmbl. I 51 (35.3051) Cod. Palmbl. II 205 (35.3205) Cod. Palmbl. II 224 (35.3224) Cod. Palmbl. I 188 (35.3188) Cod. Palmbl. I 28 (35.3028) Cod. Palmbl. I 11 (35.3011) Cod. Palmbl. I 169 (35.3169) Cod. Palmbl. I 112 (35.3112) Cod. Palmbl. III 53 (35.3299) Cod. Palmbl. I 9 (35.3009) Cod. Palmbl. I 110 (35.3110) SpectraThe spectra were recorded with the portable FTIR spectrometer 4100 ExoScan (Agilent) in DRIFTS mode. The raw spectra are stored as .spc files in a zip archive.Note: Due to subsequently detected contamination of the spectrometer, it cannot be ruled out that the recorded spectra are affected by outliers and biased. The results should therefore be categorised accordingly.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 numer: area: measurement area (leaf, ink, stain...) No: number of measurement (on this page) Interactive visualizationThe "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. Some of the shown data is simplified for this interactive demonstration and may not reflect reality.
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Seifert, Stephan
This dataset was created at the Centre for the Study of Manuscript Cultures (CSMC) and Cluster of Excellence ‘Understanding Written Artefacts’ (UWA).Manuscripts19 palm-leaf manuscripts from India were measured Cod. Palmbl. II 208 (35.3208) Cod. Palmbl. I 8 (35.3008) Cod. Palmbl. I 5 (35.3005) Cod. Palmbl. III 118 (35.3363) Cod. Palmbl. II 209 (35.3209) Cod. Palmbl. I 33 (35.3033) Cod. Palmbl. I 24 (35.3024) Cod. Palmbl. I 170 (35.3170) Cod. Palmbl. I 51 (35.3051) Cod. Palmbl. II 205 (35.3205) Cod. Palmbl. II 224 (35.3224) Cod. Palmbl. I 188 (35.3188) Cod. Palmbl. I 28 (35.3028) Cod. Palmbl. I 11 (35.3011) Cod. Palmbl. I 169 (35.3169) Cod. Palmbl. I 112 (35.3112) Cod. Palmbl. III 53 (35.3299) Cod. Palmbl. I 9 (35.3009) Cod. Palmbl. I 110 (35.3110) SpectraThe spectra were recorded with the portable FTIR spectrometer 4100 ExoScan (Agilent) in DRIFTS mode. The raw spectra are stored as .spc files in a zip archive.Note: Due to subsequently detected contamination of the spectrometer, it cannot be ruled out that the recorded spectra are affected by outliers and biased. The results should therefore be categorised accordingly.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 numer: area: measurement area (leaf, ink, stain...) No: number of measurement (on this page) Interactive visualizationThe "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. Some of the shown data is simplified for this interactive demonstration and may not reflect reality.
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Seifert, Stephan
This dataset was created in the context of the Centre for the Study of Manuscript Cultures (CSMC) and Cluster of Excellence ‘Understanding Written Artefacts’ (UWA).Manuscripttsakalis cardsSpectraThe spectra were recorded with the portable FTIR spectrometer 4100 ExoScan (Agilent) in DRIFTS mode. The raw spectra are stored as .spc files.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: Tsakalis measurement name: "page image name_page_area_No" card set (A, B) card name (3,7, ... , B, C, ...) page: no. of measured page and r,v (recto, verso) No: number of measurement (on this card)
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Seifert, Stephan
This dataset was created in the context of the Centre for the Study of Manuscript Cultures (CSMC) and Cluster of Excellence ‘Understanding Written Artefacts’ (UWA).Manuscripttsakalis cardsSpectraThe spectra were recorded with the portable FTIR spectrometer 4100 ExoScan (Agilent) in DRIFTS mode. The raw spectra are stored as .spc files.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: Tsakalis measurement name: "page image name_page_area_No" card set (A, B) card name (3,7, ... , B, C, ...) page: no. of measured page and r,v (recto, verso) No: number of measurement (on this card)
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Seifert, Stephan
The application and development of fast and simple screening methods for the authentication of foods has increased continuously in recent years. A widely used analytical technique is Fourier transform near-infrared spectroscopy (FT-NIR). Despite the simple application of FT-NIR analysis, the analyses are usually carried out on benchtop devices in the laboratory. However small, inexpensive and mobile NIR devices could be used on-site. Despite the simple use of FT-NIR analysis, the examinations are usually carried out on a stationary benchtop device in a laboratory. However, in order to be able to perform the application directly on site, the application of small, cost-effective and mobile NIR devices for food analysis is crucial. In this study, both, a benchtop NIR instrument and a handheld NIR device with a lower resolution and analyzed wavenumber range were applied for the differentiation of strawberries from different geographical origins. Distinguishing German and non-German strawberries using linear discriminant analysis (LDA) yielded an accuracy of 91.9 % and 84.0 % using the benchtop and the handheld devices, respec-tively. Relevant variables could be assigned to lipids, carbohydrates and proteins. Overall, our study demonstrated for the first time that analyzing the geographical origin of strawberries using NIR spectroscopy is also possible by means of a handheld device.
Authors
- Brockelt, Johannes ;
- Schmauder, Felix ;
- Brettschneider, Kim ;
- Creydt, Marina ;
- Seifert, Stephan ;
- Fischer, Markus
The application and development of fast and simple screening methods for the authentication of foods has increased continuously in recent years. A widely used analytical technique is Fourier transform near-infrared spectroscopy (FT-NIR). Despite the simple application of FT-NIR analysis, the analyses are usually carried out on benchtop devices in the laboratory. However small, inexpensive and mobile NIR devices could be used on-site. Despite the simple use of FT-NIR analysis, the examinations are usually carried out on a stationary benchtop device in a laboratory. However, in order to be able to perform the application directly on site, the application of small, cost-effective and mobile NIR devices for food analysis is crucial. In this study, both, a benchtop NIR instrument and a handheld NIR device with a lower resolution and analyzed wavenumber range were applied for the differentiation of strawberries from different geographical origins. Distinguishing German and non-German strawberries using linear discriminant analysis (LDA) yielded an accuracy of 91.9 % and 84.0 % using the benchtop and the handheld devices, respec-tively. Relevant variables could be assigned to lipids, carbohydrates and proteins. Overall, our study demonstrated for the first time that analyzing the geographical origin of strawberries using NIR spectroscopy is also possible by means of a handheld device.
Authors
- Brockelt, Johannes ;
- Schmauder, Felix ;
- Brettschneider, Kim ;
- Creydt, Marina ;
- Seifert, Stephan ;
- Fischer, Markus
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.
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Colini, Claudia ;
- Seifert, Stephan
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.
Authors
- Voges, Lucas F. ;
- Horn, Nils ;
- Colini, Claudia ;
- Seifert, Stephan