Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017 dataset https://portal.medin.org.uk/portal/start.php?tpc=009_CEFAS451d201c-8098-4bca-b5d2-fc20916f5b21 Input data used to predict sedimentation rate for the Baltic Sea. Observation data includes: Sedimentation rate data derived from isotope 137Cs tracers and pseudo-samples of zero sedimentation rate randomly placed in areas of rocky habitat. Sixteen predictor variables were considered for use in the sedimentation rate model. These were: Bathymetric Position Index (at three neighbourhood sizes); the Standard Deviation of bathymetry (at three neighbourhood sizes); Distance from Rivers (three layers representing different river catchment sizes); Substrate class (developed at a 1:1,000,000 scale for the Baltic Sea, classified to Folk5 level); satellite derived estimate for Suspended Particulate Matter in the water column (a winter and summer layer); Orbital Velocity at the seabed (a winter and summer layer); and Current Speed (a winter and summer layer). To access and download the data contact `data.manager@cefas.co.uk`_ For additional details regarding the predictor data variables see the publication associated with this data: `https://doi.org/10.1016/j.csr.2020.104325`_ .. _`data.manager@cefas.co.uk`: mailto:data.manager@cefas.co.uk%20 .. _`https://doi.org/10.1016/j.csr.2020.104325`: https://doi.org/10.1016/j.csr.2020.104325 20201217 20201119