Predictor variables and sedimentation rate samples used to predict sedimentation rates within the Baltic Sea from 1992 - 2017
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
dataset
https://data.cefas.co.uk/view/20932
name: Cefas Data Portal
description: 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: CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols.
function: download
CEFAS20932
https://data.cefas.co.uk
eng
oceans
revision
2011-03-25
revision
2011-03-25
publication
2008-06-01
publication
2008-06-01
revision
2010-05-18
publication
2012-01-11
publication
2012-01-11
10.00
45.00
70.00
50.00
1992-01-01
2017-07-30
publication
2020-12-17
revision
2024-08-02
creation
2020-11-19
notPlanned
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 ( `http://www.emodnetbathymetry.eu/`_). 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://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1`_). From this the distance from river mouths were then calculated by Cefas staff. .. _`http://www.emodnetbathymetry.eu/`: http://www.emodnetbathymetry.eu/ .. _`http://marine.copernicus.eu/`: http://marine.copernicus.eu/ .. _`https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1`: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1
publication
2013-12-10
false
See the referenced specification
publication
2010-12-08
true
See the referenced specification
Unknown
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
originator
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
custodian
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
distributor
European Commission
owner
Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS)
Cefas Lowestoft Laboratory
Pakefield Road
Lowestoft
NR33 0HT
UK
pointOfContact
2024-08-02T01:44:35