Automated Author ProfileChuspe, Maria Elena
Chuspe, Maria Elena
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: 0.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data package makes available tree-by-tree diameter and floristic data from 91 samples of 0.1-ha each, in community and protected lands in eastern Madre de Dios, in Amazonian Peru. Data were collected by a team of Peruvian botanists and assistants, in a collaboration between the University of Leeds, the Universidad Nacional San Antonio Abad del Cusco, and the Instituto de Investigaciones de la Amazonia Peruana. This work was part of a project funded by the U.K. Department for International Development, and represents the first coordinated contribution to the international RAINFOR consortium (Red Amazónica de Inventarios Forestales). Fieldwork was conducted in 1998 and 1999, with subsequent herbarium work focused on accurate identification of the plants collected. The field protocol involved the locally randomised location of sample plots within culturally and biophysical strata as defined by Landsat imagery in conjunction with researcher knowledge and representatives of the local indigenous and immigrant rural communities. The primary contrast is between ‘altura’ and ‘bajio’ forest systems, the former being terra firme forests on largely Pleistocene deposits, the latter in the Holocene floodplain zone (some but not all sites experiencing occasional flooding). Each 0.1-ha sample is a modified Gentry plot, with non-scandent stems down to 2.5cm diameter measured and identified, at a height of 1.3m or above buttresses. For further details on methodology please see the references indicated.
Authors
- Phillips, Oliver L. ;
- Nunez Vargas, Percy ;
- Monteagudo, Abel ;
- Cornejo Valverde, Fernando ;
- Peña Cruz, Antonio ;
- Reatigui Ismodes, Adela ;
- Ramirez Salas, Wilfredo ;
- Chuspe, Maria Elena ;
- Lopez Flores, Marcial ;
- Chacon Troncoso, Cesar ;
- Mamani Balarezo, Abidio ;
- Rosales Solorzano, Emer ;
- Galindo Castro, Washington ;
- Calloquispe F., Hugo ;
- Pickavance, Georgia