DOI: 10.14466/CefasDataHub.117
Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017
Description
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.
Sedimentation rate observations were downloaded from the EMODnet-Geology data portal (https://emodnet-geology.eu). The 100 pseudo-samples, which were assigned a sedimentation rate of zero, were randomly positioned within the area classified as rock in the 1:250,000 scale EMODnet Geology Substrate map. Predictor variables were downloaded from various sources. Derivatives of bathymetry were generated from the EMODnet bathymetry layer (https://emodnet.ec.europa.eu/en/bathymetry). Current speed and orbital velocity of waves were calculated by Cefas staff. Suspended inorganic particulate matter layers were derived from data downloaded from Copernicus online portal (http://marine.copernicus.eu/). The size of river catchments were calculated from the Copernicus EU-Digital Elevation Model v1.1 (https://www.copernicus.eu/en/use-cases/eu-dem). From this the distance from river mouths were then calculated by Cefas staff.
Contributors
Mitchell, P.J. / Spence, M.A. / Aldridge, J. / Kotilainen, A.T. / Diesing, M.
Subject
Currents / Suspended particulate material / Geological sample radioactivity / Remote Sensing / Sediment
Start Date
01/01/1992
End Date
31/07/2017
Year Published
2020
Version
10.14466/CefasDataHub.94
Citation
Mitchell et al (2020). Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017. Cefas, UK. V1. doi: https://doi.org/10.14466/CefasDataHub.117
Rights List
DOI
10.14466/CefasDataHub.117
Data Links
