Identification

Data Identification:
citation:
Citation:
Title:
Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans
Date:
CI_Date:
Date Type:
creation
date:
2022-09-28
Identifier:
RS_Identifier:
code:
http://data.bgs.ac.uk/id/dataHolding/13607985
Abstract:
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.
Point of Contact:
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
phone:
CI_Telephone:
voice:
0115 936 3143
facsimile:
0115 936 3276
Address:
Address:
Delivery Point:
Environmental Science Centre, Nicker Hill, Keyworth
city:
NOTTINGHAM
administrative Area:
NOTTINGHAMSHIRE
Postal Code:
NG12 5GG
country:
United Kingdom
e-mail:
enquiries@bgs.ac.uk
role:
distributor
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
phone:
CI_Telephone:
voice:
0115 936 3143
facsimile:
0115 936 3276
Address:
Address:
Delivery Point:
Environmental Science Centre, Nicker Hill, Keyworth
city:
NOTTINGHAM
administrative Area:
NOTTINGHAMSHIRE
Postal Code:
NG12 5GG
country:
United Kingdom
e-mail:
enquiries@bgs.ac.uk
role:
originator
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
Address:
Address:
e-mail:
not available
role:
distributor
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
Address:
Address:
e-mail:
not available
role:
originator
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
Address:
Address:
e-mail:
not available
role:
pointOfContact
Resource Maintenance:
MD_MaintenanceInformation:
maint. / update frequency:
notPlanned
Graphic overview:
Browse Graphic:
File Name:
https://resources.bgs.ac.uk/images/geonetworkThumbs/eaec2401-f090-18e7-e053-0937940aa3f2.png
Descriptive Keywords:
Keywords:
keyword:
http://www.eionet.europa.eu/gemet/concept?cp=13&langcode=en&ns=5
keyword:
Geology
Thesaurus Name:
Citation:
Title:
GEMET - INSPIRE themes, version 1.0
Date:
CI_Date:
date:
2008-06-01
Date Type:
publication
Keywords:
keyword:
Mineral exploration
keyword:
Ferromanganese
keyword:
Submarine mineral deposits
keyword:
UK Location (INSPIRE)
keyword:
Earth crust
Thesaurus Name:
Citation:
Title:
BGS Thesaurus of Geosciences
Date:
CI_Date:
date:
2022
Date Type:
revision
Keywords:
keyword:
UK Location (INSPIRE)
keyword:
http://www.data.gov.uk
Type:
dataCentre
Keywords:
keyword:
NERC_DDC
Resource Constraints:
MD_LegalConstraints:
Access Constraints:
otherRestrictions
Other Constraints:
restricted
Other Constraints:
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d
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
MD_LegalConstraints:
Use Constraints:
otherRestrictions
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:
eng
topicCategory:
geoscientificInformation
Extent:
Extent:
Temporal Element:
TemporalExtent:
extent:
begin / end:
begin:
2020
end:
2022

Distribution

Distribution:
Distribution Format:
Format:
Format Name:
raster
Distributor:
Distributor:
Distributor Contact:
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
phone:
CI_Telephone:
voice:
0115 936 3143
facsimile:
0115 936 3276
Address:
Address:
Delivery Point:
Environmental Science Centre, Nicker Hill, Keyworth
city:
NOTTINGHAM
administrative Area:
NOTTINGHAMSHIRE
Postal Code:
NG12 5GG
country:
United Kingdom
e-mail:
enquiries@bgs.ac.uk
role:
distributor
Distributor:
Distributor Contact:
Responsible Party:
Individual Name:
Enquiries
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
Address:
Address:
e-mail:
not available
role:
distributor
Transfer Options:
Digital Transfer Options:
onLine:
CI_OnlineResource:
linkage:
https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176384
name:
Data
function:
download
Digital Transfer Options:
onLine:
CI_OnlineResource:
linkage:
https://doi.org/10.5285/4c8419b9-5ee4-4db4-b279-18d3ec75c3c4
name:
Digital Object Identifier (DOI)
function:
information

Data Quality

Data Quality:
Scope:
DQ_Scope:
level:
nonGeographicDataset
Level Description:
MD_ScopeDescription:
other:
non geographic dataset
Report:
Domain Consistency:
Result:
Conformance Result:
specification:
Citation:
Title:
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
Date:
CI_Date:
Date Type:
publication
date:
2011
explanation:
See the referenced specification
pass:
0
Domain Consistency:
Result:
Conformance Result:
specification:
Citation:
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:
CI_Date:
Date Type:
publication
date:
2010-12-08
explanation:
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
pass:
0
Lineage:
LI_Lineage:
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
language:
eng
Resource type:
nonGeographicDataset
Hierarchy Level Name:
non geographic dataset
Metadata Contact:
Responsible Party:
Organisation Name:
British Geological Survey
Contact Info:
CI_Contact:
phone:
CI_Telephone:
voice:
+44 115 936 3100
Address:
Address:
Delivery Point:
Environmental Science Centre, Keyworth
city:
NOTTINGHAM
administrative Area:
NOTTINGHAMSHIRE
Postal Code:
NG12 5GG
country:
United Kingdom
e-mail:
enquiries@bgs.ac.uk
role:
pointOfContact
Date Stamp:
2024-04-24
Metadata Standard Name:
http://vocab.nerc.ac.uk/collection/M25/current/GEMINI/
Metadata Standard Name:
UK GEMINI
Metadata Standard Version:
2.3
Dataset URI:
http://data.bgs.ac.uk/id/dataHolding/13607985