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Science Classification: Grants and fellowships can have their funding split across several science classifications and financial years. The list below identifies how the funding is divided for this award.


Grant Reference: NE/R007772/1

Title: Predicting ore mineralization using quantitative forward modelling and high resolution analytical data

Total value: £89,917

ENRIsFYValue
Natural Resource Management2018£10,894
Natural Resource Management2019£21,940
Natural Resource Management2020£22,267
Natural Resource Management2021£22,618
Natural Resource Management2022£12,201
Science AreaFYValue
Earth2018£9,805
Earth2019£19,746
Earth2020£20,040
Earth2021£20,356
Earth2022£10,981
Marine2018£1,089
Marine2019£2,194
Marine2020£2,227
Marine2021£2,262
Marine2022£1,220
Science TopicFYValue
Earth Resources2018£10,894
Earth Resources2019£21,940
Earth Resources2020£22,267
Earth Resources2021£22,618
Earth Resources2022£12,201
Faulting2018£0
Faulting2019£0
Faulting2020£0
Faulting2021£0
Faulting2022£0
Geomechanics2018£0
Geomechanics2019£0
Geomechanics2020£0
Geomechanics2021£0
Geomechanics2022£0
Hydrothermal fluids2018£0
Hydrothermal fluids2019£0
Hydrothermal fluids2020£0
Hydrothermal fluids2021£0
Hydrothermal fluids2022£0
Mineral deposits2018£0
Mineral deposits2019£0
Mineral deposits2020£0
Mineral deposits2021£0
Mineral deposits2022£0
Ore deposits & mineralisation2018£0
Ore deposits & mineralisation2019£0
Ore deposits & mineralisation2020£0
Ore deposits & mineralisation2021£0
Ore deposits & mineralisation2022£0

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