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This dataset of paper records holds details of analysis of all the sample batches (from both internal and external customers) analysed by the Analytical Geochemistry Laboratory of the BGS since June 1996. It was installed to underpin the UKAS (United Kingdom Accreditation Service) accreditation of the geochemistry laboratories at Keyworth, which was awarded in August 1999. There is a file for each batch of samples submitted for analysis. The file documents the progress of the samples through the laboratories, including sample registration, sample processing, raw data from analytical instruments and the data reported to the client. The records are archived to provide supporting evidence for any query regarding geochemical data provided by the laboratories.
Collection of individually registered specimens and cuttings from onshore boreholes drilled in England and Wales by BGS, commercial and public bodies since the establishment of BGS in 1835. The collection has been developed as part of the BGS responsibility to establish and maintain a National Borehole Collection. The collection is updated on a daily basis by the addition of new data and by the modification of existing data. The collection contains all registered borehole samples for England and Wales, Scottish borehole samples are excluded. Details of the collection are held on the 'Borehole Materials Database', and may be accessed over the internet from the BGS web site.
Recordings of earthquakes and other signals (such as quarry blasts, explosions, sonic booms and collapses) made by a network of seismometers and similar sensors across the UK. Recordings start in 1977 (with a few events recorded before this) and continue to the present day. Data is used for monitoring of seismic activity, studies of seismic hazard and scientific study of the Earth's interior. Data is freely available on request. Some data can be retrieved from the BGS AutoDRM (Automatic Data Request Manager) service. Time series data recorded by UK seismic networks.
Paper records and photos used to create the Nottingham Caves digital register and maps. Includes archival material of the caves known to BGS, around northern and central Nottingham. Data mainly captured in 1989, infrequent since then approximately 1 per year.
Database of hydrogeological properties measured on core samples. Contains most determinations generated by BGS Wallingford Physical Properties Lab but some data is only available on paper. High quality data produced to strict laboratory quality standards.
Descriptive register with detailed indexes of the Nottingham man-made caves. Data mainly captured 1989, infrequent additions (approximately 1 per year) since then
Index to borehole material held chiefly as continuous drillcore, bulk samples, unwashed cuttings and processed material from onshore UK.
This dataset (GSE_SPECIMENS) is an index of the specimens and palaeontological slides held in the Type and Stratigraphical (T&S) Collection of Scotland and Northern England. This index along with GSE_REFERENCES (List Of Specimens From The UK (North) Type And Stratigraphical Collection And Related Publications) and to some extent SMITH_GSE (Index To Specimens Transferred From The John Smith Collection To The UK (North) Type and Stratigraphical Collection) are the digital equivalents of the analogue card index (held in BGS Edinburgh). The latter contains c.16k records, of which perhaps 25% have been transcribed. The sporadically growing T&S Collection (which is derived from the Survey Collection) comprises some 16k specimens. About 11k are housed at BGS Keyworth and c.5k remain at BGS Edinburgh. The specimens are individually registered in 5 leather bound volumes. These are held in BGS Keyworth, but equivalent information (microfilm and paper records) is held in BGS Edinburgh. For each specimen, the MS Access database MTD_GSE_SPECS provides a link with the Survey Collection, gives nomenclatural, taxonomical, geographical and stratigraphical information, an indication on where the fossil is housed, and any comments, perhaps on the state of preservation.
This dataset (GSE_REFERENCES) is a list of specimens held in the Type and Stratigraphical Collection of Scotland and Northern England, and the publications in which they are featured or illustrated. This database along with GSE_SPECIMENS (Index To The UK (North) Type And Stratigraphical Collection Of Fossils) and to some extent SMITH_GSE (Index To Specimens Transferred From The John Smith Collection To The UK (North) Type and Stratigraphical Collection) are the digital equivalents of the analogue card index (held in BGS Edinburgh).The latter contains c.16k records, of which perhaps 25% have now been transcribed. The MS Access database BGS_GSE_REFS presently contains 431 records (but does not include specimens from the John Smith Collection). This represents an unknown, but probably small, proportion of the Type and Stratigraphical Collection of Scotland and Northern England featured in publications. The database links with GSE_SPECIMENS, and can also provide species, authors and nomenclatural status. Many of the publications referred to are held in an extensive paper reprint collection.
The M2M Thematic Programme funded 17 scientific investigation projects leading to more unified physical understanding of fluid flow distributions in heterogeneous rock. The programme focused on developing an understanding of the relationships between measured and modelled subsurface fluid flows spanning the range of spatial and temporal scales relevant to fluid resource management. The programme was motivated by the growing recognition that assumptions of uniformity at certain scales are inadequate for extrapolating fluid behaviour both in time and space. Research spanning a wide spectrum of observation and simulation scales was undertaken by the programme which can be divided into four themes: (1) understanding the natural processes which lead to scaling relationships between size and magnitude of rock and flow heterogeneity; (2) quantification of essential fluid flow properties and their spatial pattern from measurements;(3) identification of appropriate statistical models and scaling laws describing rock property heterogeneity and fluid-rock interactions in geological media;(4) understanding the relationships between rock property distributions and flow model parameter distributions.