Seismic Data from D275. The Amazon Cone is a deep-sea fan system that developed on a continental margin 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. All seismic reflection and refraction data are currently being held by the PIs at Oxford and Durham

The dataset consists of: (1) Listing of full site survey package of geophysical data held in the IODP Data Bank in support of proposal 864. Details of how to obtain existing freely available or commercial proprietary data are included. (2) Final version of Full Science Proposal 864, which contains: description and illustrations of the regional stratigraphy of Pernambuco Plateau, as interpreted by the Virtual Site Survey project; site summary sheets for all proposed drill sites based on the Virtual Site Survey. (3) A complete list of all deliverables associated with this project is provided in the Data Archiving Report.

This document dataset contains original prints, on paper, sepia or film, of seismic reflection survey sections, dating from the 1960s. Most data are within the UK onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea) and foreign data. Most data were acquired for commercial hydrocarbon exploration and subsequently provided to BGS for use on specific projects. Some data were acquired by BGS and other public-sector bodies, e.g. BIRPS (British Institutions Reflection Profiling Syndicate), for academic research. This data set is a master set; copies must be used for interpretation purposes. Documents stored rolled in tubes, approximately 10 sections per tube, approx 850 tubes. The data are mostly concentrated in areas prospective for coal, oil and gas.

This digital data set contains original files of seismic reflection survey sections. Most data are within the UK Onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea) and foreign data. Most data were acquired for commercial hydrocarbon exploration and subsequently provided to BGS for use on specific projects. Some data were acquired by BGS and other public-sector bodies, e.g. BIRPS (British Institutions Reflection Profiling Syndicate), for academic research. These data are used for workstation-based interpretation. Some are kept as archive copies. There are approximately 50 tapes and 15 Exabyte cartridges. The data are mostly concentrated in areas prospective for coal, oil and gas.

The Seismic Line Index database stores summary administrative information about the collection of printed seismic sections, Original Seismic Sections dataset (ORIGSEISECS). This includes: details of data ownership or source, date of acquisition, purpose of survey, confidentiality, media, survey acquisition and processing parameters, and storage location in BGS. Almost all data are within the UK Onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea) and foreign data. Most data were acquired for commercial hydrocarbon exploration and subsequently provided to BGS for use on specific projects. Some data were acquired by BGS and other public-sector bodies, e.g. BIRPS (British Institutes Reflection Profiling Syndicate), for academic research. There is also scope to add relevant information about the data held in Copy Seismic Sections (COPYSEISECS) and Original Seismic Shotpoint Location Maps (ORIGSPMAPS) datasets.

This digital data set contains original files of seismic reflection survey location (navigation) data and dates from the late 1970s. These provide location information for the Digital Seismic Sections data set (DIGSEISECS) and some of the printed seismic sections of the Original Seismic Sections dataset (ORIGSEISECS) and Copy Seismic Sections dataset (COPYSEISECS). Most data are within the UK Onshore area; although there are some UK near-shore and offshore (North Sea, Irish Sea) and foreign data. Most data were acquired for commercial hydrocarbon exploration and subsequently provided to BGS for use on specific projects. Some data were acquired by BGS (British Geological Survey) and other public-sector bodies, e.g. BIRPS (The British Institutions Reflection Profiling Syndicate), for academic research. The data are used with the Seismic Locations and Sections Database (LOCSEC) and for workstation-based interpretation. There are approximately 20 tapes and 15 Exabyte cartridges. The data are mostly concentrated in coal, oil and gas prospecting areas.

This dataset contains data from a marine geophysical and multibeam survey which took place in April 2012 in the area of Ardmucknish Bay on board the RV White Ribbon. This was a follow up survey to the previous work carried out in this area in 2011 (2011/4). QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. The aim of the survey was to assess any affect the drilling of the borehole had on the underlying sediments. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). Technical details of the survey are contained in the BGS Report of Survey. Webpage www.bgs.ac.uk/QICS/. NERC Grant NE/H013954/1.

This dataset contains data from a marine geophysical survey which took place on 1st October 2014 in the area of Ardmucknish Bay on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS). This was a follow up survey to the previous work carried out in this area (Surveys: 2011/4 and 2012/5, 2012/7) to monitor changes in the geometry of gas charged sediments. QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). Webpage www.bgs.ac.uk/QICS/.

This dataset contains data from a marine geophysical and multibeam survey took place in June 2012 in the area of Ardmucknish Bay on board the RV White Ribbon. This was a follow up survey to the previous work carried out in this area (2011/4 and 2012/5). QICS (Quantifying and monitoring potential ecosystem impacts of geological carbon storage) was a scientific research project funded by NERC; its purpose was to improve the understanding of the sensitivities of the UK marine environment to a potential leak from a carbon capture storage (CCS) system. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). Webpage www.bgs.ac.uk/QICS/. NERC grant NE/H013954/1.

There are two components to this dataset: (1) fault analyses used to estimate underlying dyke properties, imaged in 3D seismic reflection data; and (2) dimension measurements and calculations of pit craters associated with the dykes and faults. This dataset specifically supplements https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item170389. The seismic reflection data are located offshore NW Australia and image a series of Late Jurassic dykes and overlying dyke-induced normal faults; these structures occur within a sedimentary basin and are now buried beneath several kilometres of rock. The specific seismic reflection dataset used for this study so far is the Chandon 3D survey, which is available through https://www.ga.gov.au/nopims and is also deposited within the NGDC. Dyke-induced faults: Analyses of these faults uses an array of point pairs, defined by X, Y, and Z co-ordinates, that mark where certain sedimentary beds are intersected by the fault in its footwall and hanging wall. Mapping of these points for 11-14 sedimentary horizons was conducted using Petrel seismic interpretation software. From the footwall and hanging wall point pairs, the throw, heave, displacement, and dip of each fault was calculated. By measuring distances between corresponding point pairs on opposing faults, graben width properties and estimated down-dip fault continuations were calculated. The expression of dyke-induced faults observed at the surface in active volcanic areas is often used to estimate dyke location, thickness (expected to roughly equal the heave on overlying faults), and upper tip depth (expected to occur where overlying, oppositely dipping faults meet; i.e. the point of the ‘V’). This study represents the first time natural dyke-induced faults and underlying dykes have been imaged in 3D and quantitatively studied. The dataset presented here allows hypotheses concerning relationships between dyke-induced fault geometries and dyke properties to finally be tested, and provides insight into normal fault kinematics; this will be useful to structural geologists and volcanologists. Pit craters: These features are enigmatic, quasi-circular depressions that commonly occur at the surface above inferred dykes and faults. The long axis and short axis lengths, as well as the area and depression depth, of the pit crater plan-view morphologies were measured. 3D seismic reflection data reveal the pit craters are underlain by pipes, for which the height, diameter, and volumes are calculated. These pipes often connect to dykes and faults, providing the first conclusive evidence that dyking and faulting mechanisms can drive pit crater formation. However, although studies of pit craters on other planets has used their surface shape to predict subsurface processes and geology, the data presented here suggest pit crater surface expressions are not diagnostic of formation mechanisms or geology.