Automated Organization ProfileMeteorological Research Institute (MRI)
Meteorological Research Institute (MRI)
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: 1859.6 (sum of 287 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
data used in the manuscript of JAMES 2025MS005508
Authors
- Ohno, Tomoki
data used in the manuscript of JAMES 2025MS005508
Authors
- Ohno, Tomoki
This is a Database of Simulated Tephra-fallout Distributions for Hoei eruption of Mt. Fuji, and also supplementary material in following paper.Ishii et al. 20xx (before review)A Database of Simulated Tephra-fallout Distributions: A Case study for a 1707 Hoei-class Eruption of Mt. Fuji.DOI:to be decided
Authors
- Ishii, Kensuke ;
- Shimbori, Toshiki ;
- Iriyama, Yu ;
- Fujita, Eisuke
This is a Database of Simulated Tephra-fallout Distributions for Hoei eruption of Mt. Fuji, and also supplementary material in following paper.Ishii et al. 20xx (before review)A Database of Simulated Tephra-fallout Distributions: A Case study for a 1707 Hoei-class Eruption of Mt. Fuji.DOI:to be decided
Authors
- Ishii, Kensuke ;
- Shimbori, Toshiki ;
- Iriyama, Yu ;
- Fujita, Eisuke
This dataset includes STEM-EDS data for all individual particles and the TEM sample average and data used to generate the figures used in Adachi et al.
Authors
- Adachi, Kouji
This dataset includes STEM-EDS data for all individual particles and the TEM sample average and data used to generate the figures used in Adachi et al.
Authors
- Adachi, Kouji
This archive contains datasets used in the paper entitled "Aircraft-based observation of mineral dust particles over the western North Pacific in summer using a complex amplitude sensor."
Authors
- Ohata, Sho ;
- Moteki, Nobuhiro ;
- Adachi, Kouji ;
- Tobo, Yutaka ;
- Matsui, Hitoshi ;
- Kita, Kazuyuki ;
- Mori, Tatsuhiro ;
- Koike, Makoto
This archive contains datasets used in the paper entitled "Aircraft-based observation of mineral dust particles over the western North Pacific in summer using a complex amplitude sensor."
Authors
- Ohata, Sho ;
- Moteki, Nobuhiro ;
- Adachi, Kouji ;
- Tobo, Yutaka ;
- Matsui, Hitoshi ;
- Kita, Kazuyuki ;
- Mori, Tatsuhiro ;
- Koike, Makoto
Aerosol backscatter and depolarization profile data from the Mie/Rayleigh Lidar that was operated at Tsukuba, Japan during the ACCLIP campaign.
Authors
- Nagai, T. ;
- Sakai, T. ;
- Fujiwara, M. ;
- Uchino, O.
This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 218 atmospheric sulfur hexafluoride datasets derived from observations made by 16 laboratories. Data for the period 1983-2024 (where available) are included.
Authors
- Schuldt, Kenneth N. ;
- Jacobson, Andrew R. ;
- Aoki, Shuji ;
- Atlas, Elliot L. ;
- Baier, Bianca ;
- Biraud, Sebastien C. ;
- Brand, Willi A. ;
- Caldow, Christopher ;
- Condori, Lino ;
- Dutton, Geoffrey S. ;
- Elkins, James W. ;
- Goto, Daisuke ;
- Elise-Andree Guerette ;
- Hall, Brad ;
- Harnisch, Jochen ;
- Heimann, Martin ;
- Hintsa, Eric ;
- Hurst, Dale ;
- Jaffe, Daniel A ;
- Jordan, Armin ;
- Karion, Anna ;
- Krummel, Paul B. ;
- Lal, Shyam ;
- Lan, Xin ;
- Langenfelds, Ray L. ;
- Lavric, Jost ;
- Lee, John ;
- Jianghanyang Li ;
- Loh, Zoe M. ;
- Machida, Toshinobu ;
- Matsueda, Hidekazu ;
- McKain, Kathryn ;
- Miller, Charles E. ;
- Miller, John B. ;
- Montzka, Stephen ;
- Moore, Fred ;
- Moossen, Heiko ;
- Morimoto, Shinji ;
- Takakiyo Nakazawa ;
- Nance, David ;
- Niwa, Yosuke ;
- Prabir K. Patra ;
- Petersen, Kyle ;
- Rothe, Michael ;
- Sasakawa, Motoki ;
- Sloop, Christopher D. ;
- Sugawara, Satoshi ;
- Sweeney, Colm ;
- Tans, Pieter ;
- Turnbull, Jocelyn ;
- Vimont, Isaac ;
- Viner, Brian ;
- Wofsy, Steven C.