• BGS Metadata Catalogue
  •   Search
  •   Map
  •  Sign in

Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans

The raster provide the output of a machine-learning random forest algorithm modelling the occurrence of ferromanganese (Fe-Mn) crust deposits in the world ocean. This raster constitutes a data-driven approach for mineral prospectivity mapping of Fe-Mn crusts that should be used in conjunction with other expert-driven prospectivity analysis to guide the assessment of Fe-Mn crust coverage in the world ocean and potential mineral exploration. The raster contains values between 0.07 and 0.92. Any values outside of that range (e.g., 0) are outside of the model prediction and should not be displayed. To reproduce data as displayed in the forthcoming associated publication, it is recommended to apply a 'Percent Clip' stretched 'Viridis' colour scheme.

Simple

Date (Creation)
2022-09-28
Citation identifier
http://data.bgs.ac.uk/id/dataHolding/13607985
Point of contact
Organisation name Individual name Electronic mail address Role

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Distributor

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Originator

British Geological Survey

Enquiries

not available

Distributor

British Geological Survey

Enquiries

not available

Originator

British Geological Survey

Enquiries

not available

Point of contact
Maintenance and update frequency
Not planned

GEMET - INSPIRE themes, version 1.0

  • Geology

BGS Thesaurus of Geosciences

  • Mineral exploration

  • Ferromanganese

  • Submarine mineral deposits

  • UK Location (INSPIRE)

  • Earth crust

dataCentre
  • UK Location (INSPIRE)
Keywords
  • NERC_DDC

Access constraints
Other restrictions
Other constraints
restricted
Other constraints
The dataset has been formally approved by BGS for access by external clients under a BGS Digital Data Licence, issued via BGS's IPR Section. The dataset must not be provided to, or be accessible by, an external client until the IPR Section confirms that signed licence documentation is in place. Refer to the IPR Section (DigitalLE@bgs.ac.) if further advice is required.. Constraint applies until 2023-10-12
Use constraints
Other restrictions
Other constraints

The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints

Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section ( ipr@bgs.ac.uk) for advice, should the position not be clear.

Language
English
Topic category
  • Geoscientific information
Begin date
2020
End date
2022

Reference System Information

No information provided.
Distribution format
Name Version

raster

Distributor contact
Organisation name Individual name Electronic mail address Role

British Geological Survey

Enquiries

enquiries@bgs.ac.uk

Distributor
Distributor contact
Organisation name Individual name Electronic mail address Role

British Geological Survey

Enquiries

not available

Distributor
OnLine resource
Protocol Linkage Name
https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176384

Data

OnLine resource
Protocol Linkage Name
https://doi.org/10.5285/4c8419b9-5ee4-4db4-b279-18d3ec75c3c4

Digital Object Identifier (DOI)

Hierarchy level
Non geographic dataset
Other

non geographic dataset

Conformance result

Title

INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology

Date (Publication)
2011
Explanation

See the referenced specification

Pass
No

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Explanation

See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass
No
Statement

The raster dataset correspond to the output of a random-forest algorithm data classification. The model uses a set of known locations for deposit and non-deposit samples to fingerprint the geospatial signature of each class against a range of environmental and geological variables, also referred to as predictors. The multivariate geospatial signature of each pixel covered by all predictors is then used to predict the likelihood of occurrence of the target class. This prediction takes the form of a raster data set with value between 0 and 1 marking the confidence in the prediction of the target class.

Metadata

File identifier
eaec2401-f090-18e7-e053-0937940aa3f2 XML
Metadata language
English
Hierarchy level
Non geographic dataset
Hierarchy level name

non geographic dataset

Date stamp
2025-05-23
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

British Geological Survey

enquiries@bgs.ac.uk

Point of contact
Dataset URI

http://data.bgs.ac.uk/id/dataHolding/13607985

 
 

Overviews

overview

Keywords

UK Location (INSPIRE)


Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •