Automated Author ProfileRoest, Geoffrey
Roest, Geoffrey
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: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A daily city-level dataset of fossil fuel and cement CO2 emissions. It provides daily, city-level estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. It also provides the first estimates for many cities in low-income countries. Such near-real-time CO2 dataset would be of great advantage to further monitoring the human activities and to capture the impacts of COVID-19 for long term.
Latest Dataset for:Carbon Monitor Cities, near-real-time daily estimates of CO2 emissions from 1500 cities worldwide
Authors
- Huo, Da ;
- Liu, Zhu ;
- Ciais, Philippe ;
- Huang, Xiaoting ;
- Dou, Xinyu ;
- Deng, Zhu ;
- Wang, Yilong ;
- Li, Yun ;
- Benkhelifa, Fouzi ;
- Sun, Taochun ;
- Cui, Duo ;
- Zhu, Biqing ;
- Roest, Geoffrey ;
- Gurney, Kevin ;
- Ke, Piyu ;
- Guo, Rui ;
- Lu, Chenxi ;
- Lin, Xiaojuan ;
- Lovell, Arminel ;
- Appleby, Kyra ;
- DeCola, Philip ;
- Davis, Steve
A daily city-level dataset of fossil fuel and cement CO2 emissions. It provides daily, city-level estimates of emissions from January 2019 through December 2021 for 1500 cities in 46 countries, and disaggregates five sectors: power generation, residential (buildings), industry, ground transportation, and aviation. The goal of this dataset is to improve the timeliness and temporal resolution of city-level emission inventories and includes estimates for both functional urban areas and city administrative areas that are consistent with global and regional totals. It also provides the first estimates for many cities in low-income countries. Such near-real-time CO2 dataset would be of great advantage to further monitoring the human activities and to capture the impacts of COVID-19 for long term.
Latest Dataset for:Carbon Monitor Cities, near-real-time daily estimates of CO2 emissions from 1500 cities worldwide
Authors
- Huo, Da ;
- Liu, Zhu ;
- Ciais, Philippe ;
- Huang, Xiaoting ;
- Dou, Xinyu ;
- Deng, Zhu ;
- Wang, Yilong ;
- Li, Yun ;
- Benkhelifa, Fouzi ;
- Sun, Taochun ;
- Cui, Duo ;
- Zhu, Biqing ;
- Roest, Geoffrey ;
- Gurney, Kevin ;
- Ke, Piyu ;
- Guo, Rui ;
- Lu, Chenxi ;
- Lin, Xiaojuan ;
- Lovell, Arminel ;
- Appleby, Kyra ;
- DeCola, Philip ;
- Davis, Steve