Automated Author ProfileMoed, D.H. (David)
0000-0003-0321-3477
Moed, D.H. (David)
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: 1.0 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data is the raw dataset, including partly calculated key performance indicators, of the pilot testings for the EU project AquaSPICE, providing insight on the usage of Biologically Activated Carbon Filtration, Ultrafiltration and Reverse Osmosis on Cooling Tower Blowdown as well as Surface Water for Cooling Water Make Up Water.
Authors
- Müller, Sarah Isabell ;
- Chapanova, Gergana ;
- Diekow, Thomas ;
- Kaiser, Christian ;
- Hamelink, Lies ;
- Hitsov, Ivaylo ;
- Wyseure, Lisa ;
- Moed, David ;
- Palmowski, Laurence ;
- Wintgens, Thomas
This data is the raw dataset, including partly calculated key performance indicators, of the pilot testings for the EU project AquaSPICE, providing insight on the usage of Biologically Activated Carbon Filtration, Ultrafiltration and Reverse Osmosis on Cooling Tower Blowdown as well as Surface Water for Cooling Water Make Up Water.
Authors
- Müller, Sarah Isabell ;
- Chapanova, Gergana ;
- Diekow, Thomas ;
- Kaiser, Christian ;
- Hamelink, Lies ;
- Hitsov, Ivaylo ;
- Wyseure, Lisa ;
- Moed, David ;
- Palmowski, Laurence ;
- Wintgens, Thomas
Raw 16S rRNA gene amplicon sequencing file of the DNA extracted from a full-scale cooling tower water samples during a 5-month period. The files were used to investigate the microbial dynamics and assess the growth or decay of the bacterial community members in the cooling system, when combined to flow cytometry analyses. The method allows to identify microorganisms that demonstrate higher resistance to disinfection. In general, the study contributes to a better knowledge of cooling towers and of the impact of continuous chlorination on the overall microbial community.
Authors
- Pinel, I.S.M. (Ingrid) ;
- Moed, D.H. (David) ;
- Vrouwenvelder, J.S. (Hans) ;
- van Loosdrecht, M.C.M. (Mark)