Automated Author Profile

Abermann, Jakob

Current S-Index

2.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

7

Total datasets for this author

Average FAIR Score

81.9%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data for the paper, "Leveraging normalized data to improve point-scale estimates of precipitation-temperature scaling rates" (Version: 2)

Precipitation and dew point temperature data for stations in the Upper Colorado River Basin. Data was collected, processed, and quality controlled from three sources: Global Historical Climatology Network - daily (GHCN-daily), Global Historical Climatology Network - hourly (GHCN-hourly), and ERA5.

Authors

  • Switanek, Matthew ;
  • Abermann, Jakob ;
  • Schöner, Wolfgang ;
  • Anderson, Michael L.
0 Citations0 Mentions88% FAIR0.5 Dataset Index
10.6084/m9.figshare.29858954.v22026

Data for the paper, "Precipitation-temperature scaling: current challenges and proposed methodological strategies"

Precipitation and dew point temperature data for stations in the Upper Colorado River Basin. Data was collected, processed, and quality controlled from three sources: Global Historical Climatology Network - daily (GHCN-daily), Global Historical Climatology Network - hourly (GHCN-hourly), and ERA5.

Authors

  • Switanek, Matthew ;
  • Abermann, Jakob ;
  • Schöner, Wolfgang ;
  • Anderson, Michael L.
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.298589542025

Data for the paper, "Precipitation-temperature scaling: current challenges and proposed methodological strategies"

Precipitation and dew point temperature data for stations in the Upper Colorado River Basin. Data was collected, processed, and quality controlled from three sources: Global Historical Climatology Network - daily (GHCN-daily), Global Historical Climatology Network - hourly (GHCN-hourly), and ERA5.

Authors

  • Switanek, Matthew ;
  • Abermann, Jakob ;
  • Schöner, Wolfgang ;
  • Anderson, Michael L.
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.29858954.v12025

Gesäuse-Johnsbachtal - Austria, Water level - surface water (running water)

Water level - surface water (running water) at Gsengbrücke in the Gesäuse-Johnsbachtal site

Authors

  • Abermann, Jakob ;
  • Schöner, Wolfgang
0 Citations0 Mentions62% FAIR0.3 Dataset Index
10.23728/b2share.5cee0a54ee7c49b095a65a13e90d964e2023

The model outputs and the CoupModel source code used for simulating a high arctic heath tundra ecosystem

These data sets are in support of the manuscript "Long-term carbon budget and ecosystem response to climate variability for a high arctic tundra ecosystem", which is submitted to Journal of Geophysical Research: Biogeosciences. The data sets consist of module outputs from an ensemble of 27 accepted runs in the CoupModel. The files are organized in binary format, and should be open using the software "CoupModel".
The CoupModel source code refers to the version of CoupModel used in the manuscript.
The CoupModel is free downloadable in the website (www.coupmodel.com).

Authors

  • Wenxin Zhang ;
  • Per-Erik Jansson ;
  • Schurgers, Guy ;
  • Hollesen, Jørgen ;
  • Lund, Magnus ;
  • Abermann, Jakob ;
  • Elberling, Bo
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.50281732017

The model outputs and the CoupModel source code used for simulating a high arctic heath tundra ecosystem

These data sets are in support of the manuscript "Long-term carbon budget and ecosystem response to climate variability for a high arctic tundra ecosystem", which is submitted to Journal of Geophysical Research: Biogeosciences. The data sets consist of module outputs from an ensemble of 27 accepted runs in the CoupModel. The files are organized in binary format, and should be open using the software "CoupModel".
The CoupModel source code refers to the version of CoupModel used in the manuscript.
The CoupModel is free downloadable in the website (www.coupmodel.com).

Authors

  • Wenxin Zhang ;
  • Per-Erik Jansson ;
  • Schurgers, Guy ;
  • Hollesen, Jørgen ;
  • Lund, Magnus ;
  • Abermann, Jakob ;
  • Elberling, Bo
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.5028173.v32017

The model outputs of the CoupModel in simulating a high arctic heath tundra ecosystem

These data sets are in support of the manuscript "Long-term carbon budget and ecosystem response to climate variability for a high arctic tundra ecosystem", which is submitted to Journal of Geophysical Research: Biogeosciences. The data sets consist of module outputs from an ensemble of 27 accepted runs in the CoupModel. The files are organized in binary format, and should be open using the software "CoupModel".
The CoupModel is free downloadable in the website (www.coupmodel.com).

Authors

  • Wenxin Zhang ;
  • Per-Erik Jansson ;
  • Schurgers, Guy ;
  • Hollesen, Jørgen ;
  • Lund, Magnus ;
  • Abermann, Jakob ;
  • Elberling, Bo
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.5028173.v22017