Maximum Entropy machine learning model output using digitized downed trees (structure) with six variables and regularization multiplier of 2.0

<p> This dataset (multiple outputs files in a compresssed folder) is output from a run of the Maxent ML Model (Phillips et.al., 2006, url: https://biodiversityinformatics.amnh.org/open_source/maxent/) using trees with structure (N=4283) and includes all environmental variables (vegetation community, inundation probability, and soil classification, elevation, generalized slope, euclidean distance from river) with a regularization multiplier (beta parameter) of 2.0. The value of 0p150 in the dataset file names refer to the fact that it uses digitized downed trees with structure. </p>
<p> Phillips, S.J., Anderson, R.P., Schapire, R.E. (2006). Maximum Entropy modelling of species geographic distribution. Ecological Modelling, 190, 231-259. </p>