Data release for 'Ensemble Forecasting of Major Solar Flares: Methods for Combining Models'

This is a release of the data that were used for validation in the paper 'Ensemble Forecasting of Major Solar Flares: Methods for Combining Models' by J. A. Guerra, S. A. Murray, D. S. Bloomfield, and P. T. Gallagher, that has been submitted to the Journal of Space Weather and Space Climate. The naming scheme for the files is in the format: <pre><code>class_type_metric.dat</code></pre> 'class' denotes whether the forecast is for M- or X- class flares. 'type' is what kind of forecast, i.e., the original ensemble members, an ensemble created from probabilistic validation metrics, or an ensemble created from categorical validation metrics. 'metric' specifies the metric used to create the ensemble in the case of 'probabilistic' or 'categorical' types as above (see paper for further details), or in the case of the original ensemble members the name of the operational forecasting method. The data files are in the format: <pre><code>obs,prob</code></pre> 'obs' denotes whether or not a flare was observed within 24 hours of the forecast issue time (1 for yes and 0 for no). 'prob' gives the probabilistic forecast value (between 0.0 and 1.0). These data files can easily be read into the R verification package to replicate the results presented in the paper.