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
