Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans
| Dataset title | Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans |
|---|---|
| Dataset creators | Pierre Josso, British Geological Survey Alex Hall, British Geological Survey |
| Dataset theme | Geoscientific Information |
| Dataset 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. |
| Dataset content dates | Data collection from 2020-2022, random forest model built 2021-2022 |
| Dataset spatial coverage | Worldwide between 80N and 70S |
| Dataset supply format | Raster dataset |
| Dataset language | English-United Kingdom |
| Dataset discovery metadata record | Discovery Link to the dataset's BGS Discovery Metadata record |
| Dataset publisher | NERC EDS National Geoscience Data Centre |
| Dataset publication date | 2023 |
| Dataset digital object identifier(DOI) | 10.5285/4c8419b9-5ee4-4db4-b279-18d3ec75c3c4 |
| Dataset citation text | Josso, P., Hall, A. (2022). Random Forest model output prediction raster for the occurrence of Fe-Mn in the World Oceans. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/4c8419b9-5ee4-4db4-b279-18d3ec75c3c4 |
| Constraints and terms of use | This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]". |
| Access the dataset | https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item176384 |