Contains training and testing data for classifying a high resolution aerial image into 9 types of urban land cover. Multi-scale spectral, size, shape, and…
classification, multivariateThis data set contains time series of greenhouse gas (GHG) concentrations at 2921 grid cells in California created using simulations of the Weather Resear…
multivariate, regression, time-seriesMachine learning is used in high-energy physics experiments to search for the signatures of exotic particles. These signatures are learned from Monte Carl…
classification, multivariateThe datas time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as NA.
multivariate, regression, time-seriesHTRU2 is a data set which describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey (South) [1]. Pulsars are a r…
classification, clustering, multivariateThe time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.
multivariate, regression, time-seriesThis dataset was derived from geospatial data from two sources: 1) Landsat time-series satellite imagery from the years 2014-2015, and 2) crowdsourced geo…
classification, multivariate