Abstract:
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/R012571/1), 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).
Keywords:
Arctic, Barents Sea, Greenland Sea, Sediment maps, Sediment properties
Laverick, J. (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
| Access Constraints: | None. |
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| Use Constraints: | Data released under Open Government Licence V3.0: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
| Creation Date: | 2022-03-29 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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| Personnel: | |
| Name | UK PDC |
| Role(s) | Metadata Author |
| Organisation | British Antarctic Survey |
| Name | Dr Jack H Laverick |
| Role(s) | Investigator |
| Organisation | University of Strathclyde |
| Parent Dataset: | N/A |
| Reference: | Laverick, J. H., Speirs, D. C. and Heath, M. R. (2022) Synthetic shelf sediment maps for the Greenland Sea and Barents Sea. Geoscience Data Journal (in press). | |
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| Quality: | Average model accuracy was always > 92% in recreating Sediment classes. For more detailed assessment of model accuracy see the associated manuscript. | |
| Lineage: | 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. | |
| Temporal Coverage: | |
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| Start Date | 2021-01-01 |
| End Date | 2021-12-31 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | 60.00083 |
| Northernmost | 82.89083 |
| Longitude | |
| Westernmost | -43.995 |
| Easternmost | 70.305 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | 0 m |
| Max Depth | 500 m |
| Data Resolution: | |
| Latitude Resolution | 0.01 degrees |
| Longitude Resolution | 0.01 degrees |
| Horizontal Resolution Range | N/A |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Arctic |
| Detailed Location | Barents Sea |
| Location | Arctic |
| Detailed Location | Greenland Sea |
| Data Collection: | The model was implemented in the R programming environment (v.4.0.2) using H2O (v3.32.0.1). |
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| Data Storage: | Data are available in .csv and netcdf formats. There are two files for each format, one contains variables with a seasonal cycle, the other contains snapshot estimates. Each file type also has an associated README text file. |
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