Automated Organization ProfileThompson River University
Thompson River University
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 1.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This record is for the dataset “Dataset for Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations” at <a href= "https://doi.org/10.5281/zenodo.2560164">https://doi.org/10.5281/zenodo.2560164</a>. <p><p> This dataset provides wetland methane (CH4) emissions, their uncertainties and underlying CH4 flux densities north from 45 N using three different wetland maps. The data products are derived using data from several eddy covariance CH4 flux sites, random forest machine learning algorithms and three prescribed wetland maps. The data are at 0.5 by 0.5 deg or 1 by 1 deg resolution, depending on the wetland map used. The dataset covers years 2013 and 2014. CH4 flux densities are provided only for grid cells with > 5 % wetland coverage. <p>The three data products are provided in netCDF format files (.nc). Please see more details in the attributes saved in the netCDF files.<p> <ul> RF-DYPTOP.ncUpscaling based on DYPTOP dynamic wetland map. At 1 by 1 deg resolution. <p>RF-GLWD.ncUpscaling using GLWD static wetland map. At 0.5 by 0.5 deg resolution. <p>RF-PEATMAP.ncUpscaling using PEATMAP static wetland map. At 0.5 by 0.5 deg resolution. </ul> <p>This data can be downloaded at <a href= "https://doi.org/10.5281/zenodo.2560164">https://doi.org/10.5281/zenodo.2560164</a>
Authors
- Peltola, Olli ;
- Vesala, Timo ;
- Gao, Yao ;
- Räty, Olle ;
- Alekseychik, Pavel ;
- Aurela, Mike ;
- Chojnicki, Bogdan ;
- Desai, Ankur R. ;
- Dolman, Albertus J. ;
- Euskirchen, Eugenie S. ;
- Friborg, Thomas ;
- Göckede, Mathias ;
- Helbig, Manuel ;
- Humphreys, Elyn ;
- Jackson, Robert B. ;
- Jocher, Georg ;
- Joos, Fortunat ;
- Klatt, Janina ;
- Knox, Sara H. ;
- Kowalska, Natalia ;
- Kutzbach, Lars ;
- Lienert, Sebastian ;
- Lohila, Annalea ;
- Mammarella, Ivan ;
- Nadeau, Daniel F. ;
- Nilsson, Mats B. ;
- Oechel, Walter C. ;
- Peichl, Matthias ;
- Pypker, Thomas ;
- Quinton, William ;
- Rinne, Janne ;
- Sachs, Torsten ;
- Samson, Mateusz ;
- Schmid, Hans Peter ;
- Sonnentag, Oliver ;
- Wille, Christian ;
- Zona, Donatella ;
- Aalto, Tuula