An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-019-39450-5

https://doi.org/10.1038/s41598-019-39450-5

Forecasting the response to global warming in a heat-sensitive species

Cited by: 32
Author(s): Francesca Brivio, Milena Zurmühl, Stefano Grignolio, Jost von Hardenberg, Marco Apollonio, Simone Ciuti
Published: over 6 years ago

Software Mentions 4

cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: MuMIn
Multi-Model Inference
Papers that mentioned: 1,276
Very Likely Science (75)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
pypi: ibex
Pandas Adapters For Scikit-Learn
Papers that mentioned: 3
Very Likely Science (80)