Automated Author ProfileSchädler, Martin
Schädler, Martin
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: 9.6 (sum of 22 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data files and code for analysis and figures as in Knight et al. 2024 (submitted). Full description of experimental setup, sampling, and data analyses available in that paper.
Authors
- De Vries, Franciska ;
- Knight, Chris ;
- I. Griffiths, Robert ;
- Nicolitch, Oceane ;
- Goodall, Tim ;
- Jones, Briony ;
- Weser, Carolin ;
- Langridge, Holly ;
- Davison, John ;
- Dellavalle, Ariane ;
- Eisenhauer, Nico ;
- Gongalsky, Konstantin B. ;
- Hector, Andrew ;
- Jardine, Emma ;
- Kardol, Paul ;
- Maestre, Fernando T. ;
- Schädler, Martin ;
- Semchenko, Marina ;
- Stevens, Carly ;
- Tsiafouli, Maria A. ;
- Vilhelmsson, Oddur ;
- Wanek, Wolfgang
Datasets on plant diversity and productivit in response to manipulated future climate and inter-anuall climate variability (details on metadata are given in datafiles).
Authors
- Korell, Lotte ;
- Andrzejak, Martin ;
- Berger, Sigrid ;
- Durka, Walter ;
- Haider, Sylvia ;
- Hensen, Isabell ;
- Herion, Yva ;
- Höfner, Johannes ;
- Kindermann, Liana ;
- Klotz, Stefan ;
- Knight, Tiffany M ;
- Linstädter, Anja ;
- Madaj, Anna-Maria ;
- Merbach, Ines ;
- Michalski, Stefan ;
- Plos, Carolin ;
- Roscher, Christiane ;
- Schädler, Martin ;
- Welk, Erik ;
- Auge, Harald
Dataset on productivity and diversity (years 2015-2022)Dataset on productivity and dMIDataset on standing biomassDataset on CVDataset on background climate variability
Authors
- Korell, Lotte ;
- Andrzejak, Martin ;
- Berger, Sigrid ;
- Durka, Walter ;
- Haider, Sylvia ;
- Hensen, Isabell ;
- Herion, Yva ;
- Höfner, Johannes ;
- Kindermann, Liana ;
- Klotz, Stefan ;
- Knight, Tiffany M ;
- Linstädter, Anja ;
- Madaj, Anna-Maria ;
- Merbach, Ines ;
- Michalski, Stefan ;
- Plos, Carolin ;
- Roscher, Christiane ;
- Schädler, Martin ;
- Welk, Erik ;
- Auge, Harald
Data files and code for analysis and figures as in Knight et al. 2024 (accepted). Full description of experimental setup, sampling, and data analyses available in that paper.
Authors
- De Vries, Franciska ;
- Knight, Chris ;
- I. Griffiths, Robert ;
- Nicolitch, Oceane ;
- Goodall, Tim ;
- Jones, Briony ;
- Weser, Carolin ;
- Langridge, Holly ;
- Davison, John ;
- Dellavalle, Ariane ;
- Eisenhauer, Nico ;
- Gongalsky, Konstantin B. ;
- Hector, Andrew ;
- Jardine, Emma ;
- Kardol, Paul ;
- Maestre, Fernando T. ;
- Schädler, Martin ;
- Semchenko, Marina ;
- Stevens, Carly ;
- Tsiafouli, Maria A. ;
- Vilhelmsson, Oddur ;
- Wanek, Wolfgang
Data files and code for analysis and figures as in Knight et al. 2024 (submitted). Full description of experimental setup, sampling, and data analyses available in that paper.
Authors
- De Vries, Franciska ;
- Knight, Chris ;
- I. Griffiths, Robert ;
- Nicolitch, Oceane ;
- Goodall, Tim ;
- Jones, Briony ;
- Weser, Carolin ;
- Langridge, Holly ;
- Davison, John ;
- Dellavalle, Ariane ;
- Eisenhauer, Nico ;
- Gongalsky, Konstantin B. ;
- Hector, Andrew ;
- Jardine, Emma ;
- Kardol, Paul ;
- Maestre, Fernando T. ;
- Schädler, Martin ;
- Semchenko, Marina ;
- Stevens, Carly ;
- Tsiafouli, Maria A. ;
- Vilhelmsson, Oddur ;
- Wanek, Wolfgang
Data files and code for analysis and figures as in Knight et al. 2024 (accepted). Full description of experimental setup, sampling, and data analyses available in that paper.
Authors
- De Vries, Franciska ;
- Knight, Chris ;
- I. Griffiths, Robert ;
- Nicolitch, Oceane ;
- Goodall, Tim ;
- Jones, Briony ;
- Weser, Carolin ;
- Langridge, Holly ;
- Davison, John ;
- Dellavalle, Ariane ;
- Eisenhauer, Nico ;
- Gongalsky, Konstantin B. ;
- Hector, Andrew ;
- Jardine, Emma ;
- Kardol, Paul ;
- Maestre, Fernando T. ;
- Schädler, Martin ;
- Semchenko, Marina ;
- Stevens, Carly ;
- Tsiafouli, Maria A. ;
- Vilhelmsson, Oddur ;
- Wanek, Wolfgang
Datasets on plant diversity and productivit in response to manipulated future climate and inter-anuall climate variability (details on metadata are given in datafiles).
Authors
- Korell, Lotte ;
- Andrzejak, Martin ;
- Berger, Sigrid ;
- Durka, Walter ;
- Haider, Sylvia ;
- Hensen, Isabell ;
- Herion, Yva ;
- Höfner, Johannes ;
- Kindermann, Liana ;
- Klotz, Stefan ;
- Knight, Tiffany M ;
- Linstädter, Anja ;
- Madaj, Anna-Maria ;
- Merbach, Ines ;
- Michalski, Stefan ;
- Plos, Carolin ;
- Roscher, Christiane ;
- Schädler, Martin ;
- Welk, Erik ;
- Auge, Harald
Dataset on productivity and diversity (years 2015-2022)Dataset on productivity and dMIDataset on standing biomassDataset on CVDataset on background climate variability
Authors
- Korell, Lotte ;
- Andrzejak, Martin ;
- Berger, Sigrid ;
- Durka, Walter ;
- Haider, Sylvia ;
- Hensen, Isabell ;
- Herion, Yva ;
- Höfner, Johannes ;
- Kindermann, Liana ;
- Klotz, Stefan ;
- Knight, Tiffany M ;
- Linstädter, Anja ;
- Madaj, Anna-Maria ;
- Merbach, Ines ;
- Michalski, Stefan ;
- Plos, Carolin ;
- Roscher, Christiane ;
- Schädler, Martin ;
- Welk, Erik ;
- Auge, Harald
Here, metagenomics was used to analyze the responses of soil microbiomes to future climate scenarios during the summers of 2014–2019. We assembled 751 metagenome-assembled genomes (MAGs) from soil metagenomics at the Global Change Experimental Facility (GCEF) of the Helmholtz-Center for Environmental Research (UFZ). The GCEF is located at the UFZ field research station in Bad Lauchstädt, Saxony-Anhalt, Germany.
Authors
- Bei, Qicheng ;
- Reitz, Thomas ;
- Schnabel, Beatrix ;
- Eisenhauer, Nico ;
- Schädler, Martin ;
- Buscot, Francois ;
- Heintz-Buschart, Anna
Data on biological activities (i.e., plant growth, soil microbial respiration, soil fauna feeding) and soil abotic conditions (i.e., soil temperature and soil moisture), presented in Table 1; Fig. 2, 3, 4; Supplementary Fig. 1, 4.
Authors
- Yin, Rui ;
- Qin, Wenkuan ;
- Wang, Xudong ;
- Xie, Dong ;
- Wang, Hao ;
- Zhang, Zhenhua ;
- He, Jin-Sheng ;
- Schädler, Martin ;
- Kardol, Paul ;
- Eisenhauer, Nico ;
- Zhu, Biao