Identification

Title

1992 - 2019 Centre for Environment, Fisheries & Aquaculture Science (Cefas) Predicted sedimentation rates data for the Baltic Sea derived from samples from 1992 - 2019

Abstract

Spatial prediction of the sediment accumulation rate, provided as a .geotif file (as an average linear rate in cm yr ^... 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 ^... . 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. To access and download the data contact `data.manager@cefas.co.uk`_ 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`_ .. _`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

Resource type

dataset

Resource locator

Unique resource identifier

code

CEFAS5f614dc5-be0c-4379-8dad-33dce560813b

codeSpace

http://www.cefas.co.uk/

Dataset language

eng

Spatial reference system

authority code

OGP

code identifying the spatial reference system

urn:ogc:def:crs:EPSG::4936

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

10

East bounding longitude

35

North bounding latitude

70

South bounding latitude

50

Extent

Extent group

authority code

title

reference date

date type

revision

effective date

2010-05-18

code identifying the extent

Temporal reference

Temporal extent

Begin position

1992-01-01T00:00:00.000Z

End position

2019-03-31T00:00:00.000Z

Dataset reference date

date type

publication

effective date

2020-12-18

Frequency of update

notPlanned

Quality and validity

Lineage

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.

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply

Constraint set

Limitations on public access

Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply

Responsible organisations

Responsible party

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

originator

Responsible party

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

custodian

Metadata on metadata

Metadata point of contact

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

pointOfContact

Metadata date

2020-12-18T10:41:07

Metadata language