Accelerometric data from the well-studied valley EUROSEISTEST are used to investigate ground motion uncertainty and variability. We define a simple local ground motion prediction equation (GMPE) and investigate changes in standard deviation (r) and its components, the between-event variability (s) and within-event variability (u). Improving seismological metadata significantly reduces s (30-50%), which in turn reduces the total r. Improving site information reduces the systematic site-to-site variability, u S2S (20-30%), in turn reducing u, and ultimately, r. Our values of standard deviations are lower than global values from literature, and closer to path-specific than site-specific values. However, our data have insufficient azimuthal coverage for single-path analysis. Certain stations have higher ground-motion variability, possibly due to topography, basin edge or downgoing wave effects. Sensitivity checks show that 3 recordings per event is a sufficient data selection criterion, however, one of the dataset's advantages is the large number of recordings per station (9-90) that yields good site term estimates. We examine uncertainty components binning our data with magnitude from 0.01 to 2 s; at smaller magnitudes, s decreases and u SS increases, possibly due to j and source-site trade-offs