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The Amazon Cone is a deep-sea fan system that developed on a continental margin, North East Brazil and French Guiana, approximately 90-100 Myr following a rifting event. Gravityand flexure modelling suggest that the Cone sediments have loaded the margin almost to the limits of its strength. The investigators propose to carry out the first seismic refraction experiment to determine the structure of the crust and mantle that has been deformed by the Cone load. The experiment will provide new constraints on the structure, the nature of the ocean-continental boundary, the thermal and mechanical properties, and the resource potential of deep-water continental margins.","langeng":"PROJECT DETAILS ONLY - NO DATA. The Amazon Cone is a deep-sea fan system that developed on a continental margin, North East Brazil and French Guiana, approximately 90-100 Myr following a rifting event. Gravityand flexure modelling suggest that the Cone sediments have loaded the margin almost to the limits of its strength. The investigators propose to carry out the first seismic refraction experiment to determine the structure of the crust and mantle that has been deformed by the Cone load. 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The 'snowball Earth' theory has been the subject of widespread media attention, particularly its lively defence by key proponent, Prof. Paul Hoffman. This period of earth history from 750 to 540 million years ago contained perhaps as many as 5 extreme events of climatic fluctuation. During the coldest of these the globe may have been entirely covered in ice. Until recent years research into the rocks of this age had focussed mainly on cold or hot desert areas of the world with very good outcrop and undeformed piles of sediments, but some of the most complete, but poorly exposed rock sections of this age are in more accessible areas such as Scotland and Ireland. Sediments are extremely difficult to date and ages of these rock sequences rely on the rare occurences of volcanic rocks. There is now the makings of a global framework of these glacial periods based on the isotopes of carbon in limestones, but without other dating evidence this can only say that the rocks are related to a glacial event, not which one. The isotopes of sulphur are constrained during this period by the rapid increase in the oxygen content of earth's oceans and atmosphere which resulted in the rapid evolution of many species and the development of vertebrate animals. This sulphur signal changed rapidly after the largest 'snowball Earth' event and recent studies suggest that this distinct signal might be globally recognisable. In Scotland and Ireland 3 glacial periods have been recognised in a seqence of rocks aged approximately 800 million years old at the base, 600 million about 75% of the way up from the base and containing 540-520 million year old vertebrate fossils close to the top. Linking the glacial periods to a particular global event in this 260 million year period has proved difficult. Combining new sulphur isotope data for the mineral pyrite from limestone and black shale rocks, with carbon isotope data and organic carbon content will allow these glacial events in Scotland and Ireland to be correlated and put into global context. This new data will place better age constraints on these rocks in Scotland and Ireland and improve the global understanding of this period of Earth history. Man's influence on the planet might have destabilised the climate system, so it is important that we understand the causes and effects of extreme climate variation in the past.","langeng":"PROJECT DETAILS ONLY - NO DATA. The 'snowball Earth' theory has been the subject of widespread media attention, particularly its lively defence by key proponent, Prof. Paul Hoffman. This period of earth history from 750 to 540 million years ago contained perhaps as many as 5 extreme events of climatic fluctuation. During the coldest of these the globe may have been entirely covered in ice. Until recent years research into the rocks of this age had focussed mainly on cold or hot desert areas of the world with very good outcrop and undeformed piles of sediments, but some of the most complete, but poorly exposed rock sections of this age are in more accessible areas such as Scotland and Ireland. Sediments are extremely difficult to date and ages of these rock sequences rely on the rare occurences of volcanic rocks. There is now the makings of a global framework of these glacial periods based on the isotopes of carbon in limestones, but without other dating evidence this can only say that the rocks are related to a glacial event, not which one. The isotopes of sulphur are constrained during this period by the rapid increase in the oxygen content of earth's oceans and atmosphere which resulted in the rapid evolution of many species and the development of vertebrate animals. This sulphur signal changed rapidly after the largest 'snowball Earth' event and recent studies suggest that this distinct signal might be globally recognisable. In Scotland and Ireland 3 glacial periods have been recognised in a seqence of rocks aged approximately 800 million years old at the base, 600 million about 75% of the way up from the base and containing 540-520 million year old vertebrate fossils close to the top. Linking the glacial periods to a particular global event in this 260 million year period has proved difficult. Combining new sulphur isotope data for the mineral pyrite from limestone and black shale rocks, with carbon isotope data and organic carbon content will allow these glacial events in Scotland and Ireland to be correlated and put into global context. This new data will place better age constraints on these rocks in Scotland and Ireland and improve the global understanding of this period of Earth history. 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isotopic analyses for samples collected during the NERC project \"Orogenic Plateau Magmatism\" (NE/H021620/1) (2011-2014). Samples are late Cenozoic volcanic rocks erupted across centres of the Iranian or Armenian sectors of the Turkish-Iranian Plateau, during the ongoing Arabia-Eurasia continental collision. Results have been published in the following papers: Allen, M.B., Kheirkhah, M., Neill, I., Emami, M.H. & McLeod, C.L. (2013) Generation of arc and within-plate chemical signatures in collision zone magmatism: Quaternary lavas from Kurdistan Province, Iran. Journal of Petrology, 54,887-911. Kheirkhah, K., Neill, I., Allen, M.B. & Ajdari, K. (2013) Small-volume melts of lithospheric mantle during continental collision: late Cenozoic lavas of Mahabad, NW Iran. Journal of Asian Earth Sciences, 74, 37-49. http://dx.doi.org/10.1016/j.jseaes.2013.06.002. Kheirkhah, K., Neill, I. & Allen, M.B. (2015) Petrogenesis of OIB-like basaltic volcanic rocks in a continental collision zone: Late Cenozoic magmatism of Eastern Iran. Journal of Asian Earth Sciences, 106, 19-33. Neill, I., Meliksetian, K., Allen, M.B., Navasardyan, G. & Kuiper, K. (2015) Petrogenesis of mafic collision zone magmatism: The Armenian sector of the Turkish-Iranian Plateau. Chemical Geology, 403, 24-41. Neill, I., Meliksetian, K., Allen, M.B., Navarsardyan, G. & Karapetyan, S. (2013) Pliocene-Quaternary volcanic rocks of NW Armenia: magmatism and lithospheric dynamics within an active orogenic plateau. Lithos, 180-181, 200-215.","langeng":"This dataset contains major element, trace element and isotopic analyses for samples collected during the NERC project \"Orogenic Plateau Magmatism\" (NE/H021620/1) (2011-2014). Samples are late Cenozoic volcanic rocks erupted across centres of the Iranian or Armenian sectors of the Turkish-Iranian Plateau, during the ongoing Arabia-Eurasia continental collision. Results have been published in the following papers: Allen, M.B., Kheirkhah, M., Neill, I., Emami, M.H. & McLeod, C.L. 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Grant number: UKCCSRC-C1-19. • This work aims to develop an understanding of the gas transport mechanisms within mixed matrix membranes focussing on membranes for post-combustion carbon capture. • Separation of carbon dioxide from combustion flue gases using selective membranes shows promise to be a low energy carbon capture option and is proven as a commercially viable gas separation technology. • Membranes potentially offer significant energy savings over the currently more developed amine-based absorption technologies. • Mixed matrix membranes (MMMs) are composite materials comprised of particulate fillers in a polymeric matrix. • Polymer membranes exhibit a trade-off between permeability and selectivity. By adding fillers the gas separation properties of the membrane can be altered and improved. • MMMs are fabricated from various materials and the gas permeation properties tested such that the interaction of phases can be investigated.","langeng":"This poster on the UKCCSRC Call 1 project Mixed matrix membranes for post-combustion carbon capture was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C1-19. • This work aims to develop an understanding of the gas transport mechanisms within mixed matrix membranes focussing on membranes for post-combustion carbon capture. • Separation of carbon dioxide from combustion flue gases using selective membranes shows promise to be a low energy carbon capture option and is proven as a commercially viable gas separation technology. • Membranes potentially offer significant energy savings over the currently more developed amine-based absorption technologies. • Mixed matrix membranes (MMMs) are composite materials comprised of particulate fillers in a polymeric matrix. • Polymer membranes exhibit a trade-off between permeability and selectivity. 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NE/L002493/1)"},"creationDateForResource":["2016-12"],"creationYearForResource":"2016","creationMonthForResource":"2016-12","resourceDate":[{"type":"creation","date":"2016-12-01T00:00:00.000Z"}],"resourceTemporalDateRange":[{"gte":"2016-12-01T00:00:00.000Z","lte":"2016-12-01T00:00:00.000Z"},{"gte":"2014-01-01T00:00:00.000Z","lte":"2016-01-01T00:00:00.000Z"}],"resourceIdentifier":[{"code":"http://data.bgs.ac.uk/id/dataHolding/13607085","codeSpace":"","link":""}],"resourceAbstractObject":{"default":"These data accompany a manuscript, titled: Stream and Slope Weathering Effects on Organic-rich Mudstone Geochemistry and Implications for Hydrocarbon Source Rock Assessment: A Bowland Shale Case Study All files with prefix 'Man_1' relate to this submission. The manuscript was submitted to the journal Chemical Geology in December 2016. Data include: 1) A range of photographs from the outcrop, drill cores, sub-samples, 'weathering grades' and thin section microphotographs from the Bowland Shale; 2) The results of mineralogical (whole rock powder x-ray diffraction; XRD) analyses for 18 subsamples; 3) The results of inorganic geochemical analyses (LECO elemental C and S, x-ray fluorescence major and trace elements) for 18 subsamples; 4) The results of organic geochemical analyses (Rock-Eval pyrolysis, d13Corg) for 20 subsamples; 5) RStudio scripts used to conduct statistical analyses (e.g., Principal Components Analysis) and generation of figures.","langeng":"These data accompany a manuscript, titled: Stream and Slope Weathering Effects on Organic-rich Mudstone Geochemistry and Implications for Hydrocarbon Source Rock Assessment: A Bowland Shale Case Study All files with prefix 'Man_1' relate to this submission. The manuscript was submitted to the journal Chemical Geology in December 2016. Data include: 1) A range of photographs from the outcrop, drill cores, sub-samples, 'weathering grades' and thin section microphotographs from the Bowland Shale; 2) The results of mineralogical (whole rock powder x-ray diffraction; XRD) analyses for 18 subsamples; 3) The results of inorganic geochemical analyses (LECO elemental C and S, x-ray fluorescence major and trace elements) for 18 subsamples; 4) The results of organic geochemical analyses (Rock-Eval pyrolysis, d13Corg) for 20 subsamples; 5) RStudio scripts used to conduct statistical analyses (e.g., Principal Components Analysis) and generation of figures."},"OrgForResourceObject":[{"default":"University of Leicester","langeng":"University of Leicester"},{"default":"University of Leicester","langeng":"University of Leicester"},{"default":"British Geological Survey","langeng":"British Geological Survey"},{"default":"British Geological Survey","langeng":"British Geological Survey"}],"pointOfContactOrgForResourceObject":[{"default":"University of Leicester","langeng":"University of Leicester"},{"default":"British Geological Survey","langeng":"British Geological Survey"}],"contactForResource":[{"organisationObject":{"default":"University of Leicester","langeng":"University of Leicester"},"role":"pointOfContact","email":"not available","website":"","logo":"","individual":"Joe Emmings","position":"Department of Geology","phone":"","address":"Leicester, LE1 7RH"},{"organisationObject":{"default":"University of Leicester","langeng":"University of Leicester"},"role":"principalInvestigator","email":"not available","website":"","logo":"","individual":"Professor Sarah Davies","position":"Department of Geology","phone":"","address":"Leicester, LE1 7RH"},{"organisationObject":{"default":"British Geological Survey","langeng":"British Geological Survey"},"role":"distributor","email":"enquiries@bgs.ac.uk","website":"","logo":"","individual":"Enquiries","position":"","phone":"0115 936 3143","address":"Environmental Science Centre, Nicker Hill, Keyworth, NOTTINGHAM, NOTTINGHAMSHIRE, NG12 5GG, United Kingdom"},{"organisationObject":{"default":"British Geological Survey","langeng":"British Geological Survey"},"role":"pointOfContact","email":"enquiries@bgs.ac.uk","website":"","logo":"","individual":"Enquiries","position":"","phone":"0115 936 3143","address":"Environmental Science Centre, Nicker Hill, Keyworth, NOTTINGHAM, NOTTINGHAMSHIRE, NG12 5GG, United Kingdom"}],"principalInvestigatorOrgForResourceObject":{"default":"University of Leicester","langeng":"University of Leicester"},"distributorOrgForResourceObject":{"default":"British Geological Survey","langeng":"British Geological Survey"},"supplementalInformationObject":{"default":"This study was funded by NERC grant NE/L002493/1, a part of the Central England Training Alliance (CENTA). Joe Emmings, NERC-funded PhD student at the University of Leicester and British Geological Survey, between 2014 and 2016. Nick Riley (Carboniferous Ltd) is thanked for sharing his expertise, particularly regarding the field identification of marine faunas. Charlotte Watts is thanked for providing field assistance. Nick Marsh, Tom Knott and Cheryl Haidon are thanked for providing expertise and assistance during inorganic geochemical and mineralogical analyses. Chris Kendrick helped with the production of the carbon isotope data.","langeng":"This study was funded by NERC grant NE/L002493/1, a part of the Central England Training Alliance (CENTA). Joe Emmings, NERC-funded PhD student at the University of Leicester and British Geological Survey, between 2014 and 2016. Nick Riley (Carboniferous Ltd) is thanked for sharing his expertise, particularly regarding the field identification of marine faunas. Charlotte Watts is thanked for providing field assistance. Nick Marsh, Tom Knott and Cheryl Haidon are thanked for providing expertise and assistance during inorganic geochemical and mineralogical analyses. 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