Automated Organization ProfileNational Institute for Environmental Studies, Tsukuba-shi, Ibaraki, Japan
National Institute for Environmental Studies, Tsukuba-shi, Ibaraki, Japan
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: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The publication Estimating Emissions of Methane Consistent with Atmospheric Measurements of Methane and δ¹³C of Methane reports methane emissions inferred from a joint assimilation of atmospheric CH₄ and δ¹³CH₄ measurements. The inversion problem is under-constrained, and therefore inversely estimated fluxes should not be interpreted at the spatiotemporal resolution of the inversion. However, for visualization and modeling purposes, it is often convenient to have gridded flux estimates that, while not direct outputs from the inversion, satisfy multiple regional constraints from the inversion. This 1º×1º flux product is such a construction. At annual, continental scales, the total methane emissions per source type are identical to those from the CH₄ + δ¹³CH₄ inversion in the publication. The monthly, sub-continental patterns are dictated by the prior (inventory) emission estimates used in the publication.
Authors
- Basu, Sourish ;
- Lan, Xin ;
- Dlugokencky, Edward ;
- Michel, Sylvia ;
- Schwietzke, Stefan ;
- Miller, John ;
- Bruhwiler, Lori ;
- Oh, Youmi ;
- Tans, Pieter ;
- Apadula, Francesco ;
- Gatti, Luciana ;
- Jordan, Armin ;
- Necki, Jaroslaw ;
- Sasakawa, Motoki ;
- Morimoto, Shinji ;
- Di Iorio, Tatiana ;
- Lee, Haeyoung ;
- Arduini, Jgor ;
- Manca, Giovanni
The publication Estimating Emissions of Methane Consistent with Atmospheric Measurements of Methane and δ¹³C of Methane reports methane emissions inferred from a joint assimilation of atmospheric CH₄ and δ¹³CH₄ measurements. The inversion problem is under-constrained, and therefore inversely estimated fluxes should not be interpreted at the spatiotemporal resolution of the inversion. However, for visualization and modeling purposes, it is often convenient to have gridded flux estimates that, while not direct outputs from the inversion, satisfy multiple regional constraints from the inversion. This 1º×1º flux product is such a construction. At annual, continental scales, the total methane emissions per source type are identical to those from the CH₄ + δ¹³CH₄ inversion in the publication. The monthly, sub-continental patterns are dictated by the prior (inventory) emission estimates used in the publication.
Authors
- Basu, Sourish ;
- Lan, Xin ;
- Dlugokencky, Edward ;
- Michel, Sylvia ;
- Schwietzke, Stefan ;
- Miller, John ;
- Bruhwiler, Lori ;
- Oh, Youmi ;
- Tans, Pieter ;
- Apadula, Francesco ;
- Gatti, Luciana ;
- Jordan, Armin ;
- Necki, Jaroslaw ;
- Sasakawa, Motoki ;
- Morimoto, Shinji ;
- Di Iorio, Tatiana ;
- Lee, Haeyoung ;
- Arduini, Jgor ;
- Manca, Giovanni