CEFAS5f614dc5-be0c-4379-8dad-33dce560813b English dataset Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk pointOfContact 2025-09-24T01:59:10 EPSG Geodetic Parameter Registry 2022-01-07 revision ETRS89 Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019 2020-12-17 publication 2025-09-24 revision 2020-11-19 creation CEFAS20933 https://data.cefas.co.uk Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr-1 since 1986) for the Baltic Sea created using a machine learning approach. Predicted rates of sediment accumulation vary from 0.08-1.67 cm yr-1. Field measurements were acquired between 1992 and 2012 as compiled by EMODnet Geology. Predictor variables were derived from 2003 to 2018 from various sources including EMODnet Bathymetry, Copernicus and Cefas staff. Modelling subsequently occurred in 2019 by Cefas. Further detail on the data sources are provided in the associated manuscript. For additional details regarding how this layer was generated see the publication associated with this data: `https://doi.org/10.1016/j.csr.2020.104325`_ .. _`https://doi.org/10.1016/j.csr.2020.104325`: https://doi.org/10.1016/j.csr.2020.104325 Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk originator Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk custodian Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk distributor European Commission info@publications.europa.eu owner notPlanned Sediment GEMET, version 1.0 2008-06-01 publication Oceanographic geographical features GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Sediment SeaVoX Vertical Co-ordinate Coverages 2010-05-18 revision Marine Environmental Data and Information Network MEDIN metadata record availability 2012-01-11 publication data.gov.uk MEDIN metadata record availability 2012-01-11 publication otherRestrictions noLimitations otherRestrictions Public data - no limitations to reuse 95 English oceans 10.00 35.00 50.00 70.00 1992-01-01 2019-03-31 Binary Unknown https://data.cefas.co.uk/view/20933 Cefas Data Portal download The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download. dataset INSPIRE Data Specification on Oceanographic geographical features – Technical Guidelines 2013-12-10 publication false See the referenced specification Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication true See the referenced specification The spatial prediction of sediment accumulation rates were generated for the Baltic Sea using a machine learning approach. In short, a range of predictor variables that were thought to relate to either marine dispersal or the proximity to a sediment source. These full coverage predictor variables included: derivatives of the bathymetry, estimates of sediment turbidity, distance from river mouths, estimates of the energy of the Baltic Sea and a description of the substrate type. A random forest model was fit to the predictor variables using field observations. The model was then used to predict sediment accumulation rate for the Baltic Sea. MEDIN 3.1.1