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Metadata Files

Data Publication

Data for Synthetic Shelf Sediment Maps for the Greenland Sea and Barents Sea

Laverick, Jack H.

NERC EDS UK Polar Data Centre

(2022)

Descriptions

This dataset represents the sediment properties and physical environment of the seabed for the Greenland Sea and Barents Sea shelf area. The data were produced at a spatial resolution of 0.01 by 0.01 degrees. Available variables include: whole sediment mean grain size, mud, sand and gravel percentages, rock cover, porosity and permeability, carbon and nitrogen content of sediments, depth, slope, roughness, terrain ruggedness index, topographic position index. The dataset also includes a seasonal cycle of monthly natural disturbance and bed shear stress. This dataset was produced by the MiMeMo project (NE/R012572/1), part of the Changing Arctic Ocean programme, jointly funded by the UKRI Natural Environment Research Council (NERC) and the German Federal Ministry of Education and Research (BMBF).
This dataset was produced by a random forest model trained on bathymetric properties and bed shear stress to predict sediment classes as defined by the Norwegian geological survey (NGU). Sediment classes were predicted for a larger area in the Barents Sea than covered by NGU, and also for the Greenland Sea. The discrete sediment classes were then decomposed into continuous variables before exploiting relationships with sediment grain size to produce fields of additional sediment properties.
Average model accuracy was always > 92% in recreating Sediment classes. For more detailed assessment of model accuracy see the associated manuscript.
The model was implemented in the R programming environment (v.4.0.2) using H2O (v3.32.0.1).

Keywords


Originally assigned keywords
"EARTH SCIENCE","OCEANS","MARINE SEDIMENTS","GEOTECHNICAL PROPERTIES"
"EARTH SCIENCE","OCEANS","MARINE ENVIRONMENT MONITORING"
Arctic
Barents Sea
Greenland Sea
Sediment maps
Sediment properties

MSL enriched keywords
minerals
chemical elements
carbon
unconsolidated sediment
clastic sediment
gravel
mud
sand
Measured property
porosity
permeability
Measured property
porosity
measured property
nitrogen
Analyzed feature
grain size and configuration
grain size

MSL enriched sub domains i

rock and melt physics
analogue modelling of geologic processes
geochemistry
microscopy and tomography

Source

https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01629

Source publisher

NERC EDS UK Polar Data Centre


DOI

10.5285/fd971fc7-a730-4c68-9a02-76022e56ddab


Creators

Laverick, Jack H.

University of Strathclyde

ORCID:

https://orcid.org/0000-0001-8829-2084


Contributors

Laverick, Jack H.

ContactPerson

University of Strathclyde

ORCID:

https://orcid.org/0000-0001-8829-2084

Laverick, Jack H.

Researcher

University of Strathclyde

ORCID:

https://orcid.org/0000-0001-8829-2084

Speirs, Douglas C.

Researcher

University of Strathclyde

ORCID:

https://orcid.org/0000-0002-4367-1459

Heath, Michael R.

Researcher

University of Strathclyde

ORCID:

https://orcid.org/0000-0001-6602-3107

UK Polar Data Centre

DataManager

Natural Environment Research Council

UK Polar Data Centre

Distributor

Natural Environment Research Council

UK Polar Data Centre

HostingInstitution

Natural Environment Research Council


References

https://www.changing-arctic-ocean.ac.uk/project/mimemo/

https://github.com/Jack-H-Laverick/MiMeMo.Sediment

https://java.libhunt.com/sparkling-water-latest-version

https://doi.org/10.15129/bb91fbc2-b4e9-4919-9631-bee4fb231a92

10.5285/97802989-3f33-472f-9c59-87bb384ebdbe

10.5285/97802989-3f33-472f-9c59-87bb384ebdbe


Citation

Laverick, J. H. (2022). Data for Synthetic Shelf Sediment Maps for the Greenland Sea and Barents Sea (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/FD971FC7-A730-4C68-9A02-76022E56DDAB


Dates

Collected:

2021-01-01/2021-12-31

Accepted:

2022-03-29

Created:

2022-03-29

Submitted:

2022-03-29

Issued:

2022-03-30


Language

en


Funding References

Funder name: Natural Environment Research Council

Funder identifier: https://ror.org/02b5d8509

Funder identifier type: ROR

Award number: NE/R012571/1

Award uri: https://gtr.ukri.org/projects?ref=NE/R012571/1

Award title: Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)

Funder name: Federal Ministry of Education and Research

Funder identifier: https://ror.org/04pz7b180

Funder identifier type: ROR

Award number: NE/R012571/1

Award uri: https://gtr.ukri.org/projects?ref=NE/R012571/1

Award title: Microbes to Megafauna Modelling of Arctic Seas (MiMeMo)


Rights

Open Government Licence V3.0


Datacite version

1.0


Geo location(s)

Barents Sea Arctic


Spatial coordinates