Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 1.0

<p> This dataset (multiple outputs files in a compressed folder) is output from a run of the Maxent ML Model (Phillips et.al., 2006, url: https://biodiversityinformatics.amnh.org/open_source/maxent/) using all digitized downed trees (N=9505) and includes all environmental variables (vegetation community, inundation probability, and soil classification, elevation, generalized slope, Euclidean distance from river) implemented as hinge features with a regularization multiplier (beta parameter) of 1.0. The value of 0p000 in the dataset file name refers to the fact that it uses all digitized downed trees. </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>