Automated Author Profile

S. Hoeks

Radboud University Nijmegen

Current S-Index

2.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.0

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

92.3%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: Using machine learning to predict willingness-to-pay values of birds and mammals with species-specific information (Version: 1.0)

Willingness-to-pay (WTP) values of species helps reveal the societal support for biodiversity conservation, in turn providing crucial information for policymakers and practitioners. In this database we collected 381 published WTP values of 28 bird, 17 marine mammal and 36 terrestrial mammal species from the literature. Specifically, we collected data on annual payments. Besides information on the WTP value (e.g. average value, standard deviation, currency, sample size), the database also provides species-specific information (e.g. scientific name, location), methodological information (e.g. mode of administration, elicitation format, payment vehicle) and information of respondents (e.g. resident or visitor).

Authors

  • M.J.E. Broekman ;
  • K.J.J. Kuipers ;
  • S. Hoeks ;
  • S. Bacca ;
  • A.M. Schipper ;
  • M.A.J. Huijbregts ;
  • J.P. Hilbers
0 Citations0 Mentions92% FAIR2.0 Dataset Index
10.17026/ls/sxzkoxJanuary 2025