Automated Author ProfileLakshmi Kumar, TV
SRM Institute of Science and Technology, India
Lakshmi Kumar, TV
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: 3.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Maps of the SDG indicator 15.3.1 adopted by the United Nations Convention to Combat Desertification (UNCCD) together with its sub-indicators for the Amazon River Basin for the period 2001-2020. The sub-indicators are trajectory (or trend), state, and performance. The SDG indicator 15.3.1 was calculated using the procedures described in the second version of the Good Practice Guidance for SDG Indicator 15.3.1. The annual LCLU maps from the MapBiomas project at 30 m spatial resolution and the 16-day MOD13Q1 NDVI and SoilGrids dataset were used as inputs. In addition, annualized maps of drought severity derived from SPI12, SPEI12, and scPDSI are added. A total of seven GeoTIFF files in Geographic Tagged Image File Format (GeoTIFF) format are provided at 250 m spatial resolution. Coding for the SDG indicator 15.3.1, trajectory, state, and performance. -32768 is ‘No data’ -1 is ‘Degraded’ 0 is ‘Stable’’ 1 is ‘Improvement’ Coding for the drought severity. From 0 (minimum drought severity) to 1 (maximum drought severity).
Authors
- Paredes-Trejo, Franklin ;
- Barbosa, Humberto ;
- Giovannettone, Jason ;
- Lakshmi Kumar, TV ;
- Kumar Thakur, Manoj ;
- de Oliveira Buriti, Catarina
Maps of the SDG indicator 15.3.1 adopted by the United Nations Convention to Combat Desertification (UNCCD) together with its sub-indicators for the Amazon River Basin for the period 2001-2020. The sub-indicators are trajectory (or trend), state, and performance. The SDG indicator 15.3.1 was calculated using the procedures described in the second version of the Good Practice Guidance for SDG Indicator 15.3.1. The annual LCLU maps from the MapBiomas project at 30 m spatial resolution and the 16-day MOD13Q1 NDVI and SoilGrids dataset were used as inputs. In addition, annualized maps of drought severity derived from SPI12, SPEI12, and scPDSI are added. A total of seven GeoTIFF files in Geographic Tagged Image File Format (GeoTIFF) format are provided at 250 m spatial resolution. Coding for the SDG indicator 15.3.1, trajectory, state, and performance. -32768 is ‘No data’ -1 is ‘Degraded’ 0 is ‘Stable’’ 1 is ‘Improvement’ Coding for the drought severity. From 0 (minimum drought severity) to 1 (maximum drought severity).
Authors
- Paredes-Trejo, Franklin ;
- Barbosa, Humberto ;
- Giovannettone, Jason ;
- Lakshmi Kumar, TV ;
- Kumar Thakur, Manoj ;
- de Oliveira Buriti, Catarina