<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019</dc:title>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">dataset</dc:type>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">https://portal.medin.org.uk/portal/start.php?tpc=009_CEFAS5f614dc5-be0c-4379-8dad-33dce560813b</dc:identifier>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/">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</dc:description>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">20201217 20201119</dc:date>
</oai_dc:dc>
