This README file introduces the dataset used for the paper:

Olano, J.M.; García-Cervigón, A.I.; Sangüesa-Barreda, G.; Rozas, V.; Muñoz-Garachana,
D.; García-Hidalgo, M. & García-Pedrero, A. (2020) Satellite data and machine learning 
reveal the incidence of late frost defoliations on Iberian beech forests. Ecological
Applications.

Data are presented in a txt file (Frost_events_Iberian_beech_forests.txt).


********************DESCRIPTION OF VARIABLES INCLUDED IN THE DATASET******************

1) site - identificator for each of the pixels of 250 x 250 m size included in the machine 
learning model

2) year - from 2003 to 2018

3) pred.fac - dichotomic factor (frost, non.frost) that contains the prediction for each
pixel and year from the machine learning model. "frost" corresponds to pixels predicted to
have suffered a frost event in the corresponding year; "non.frost" corresponds to pixels
predicted to not have suffered a frost event.

4) pred.int - dichotomic variable (1, 0) that contains similar informacion than pred.fac  
(1 for pixels predicted to have suffered a frost event; 0 for pixels predicted to not have
suffered a frost event).

5) longitude 

6) latitude

7) elevation - meters above sea level

8) aspect - degrees

9) precip - total annual precipitation

10) T.mean - mean annual temperature