15 datasets found
  1. Digital images of petrology rock thin sections

    • metadata.bgs.ac.uk
    • gimi9.com
    • +1more
    http
    Updated Feb 2012
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    British Geological Survey (2012). Digital images of petrology rock thin sections [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/d02ed16f-7a23-4a2d-e044-0003ba9b0d98
    Explore at:
    httpAvailable download formats
    Dataset updated
    Feb 2012
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Description

    Digital images of petrology rock thin sections from samples that are referenced in the BGS Petrological Collection Database (Britrocks). Two reference images are being captured for each thin section, one taken in Plane Polarized Light (PPL) and the other in Crossed Polarized Light (XPL). The Britrocks database provides an index to the BGS mineralogical & petrological collection. The computer database covers samples in the UK onshore mapping collection together with worldwide reference minerals and the Museum Reserve collection. The first England and Wales collection sample is from circa 1877, Threshthwaite Comb, Cumbria (collected by the Reverend Clifton Ward). The addition of new samples, transfer of records from registers and updates of existing records is ongoing on a regular basis. Internet access to the database is provided on the BGS web site. Capture of the Scottish Collections began February 2012. Capture of the English and foreign collections began in December 2012.

  2. v

    Global import data of Thin Nut

    • volza.com
    csv
    Updated Jan 31, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Thin Nut [Dataset]. https://www.volza.com/trade-data-united-kingdom/united-kingdom-exporters-importers-export-import-data-of-thin+nut-to-india
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Volza.LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    81 Global import shipment records of Thin Nut with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  3. n

    Field data including geological map with sample locations, sample...

    • data-search.nerc.ac.uk
    • egdi.geology.cz
    • +2more
    Updated May 20, 2020
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    (2020). Mechanical and microstructural analysis of synthetic quartz-cemented sandstones- data (NERC Grant NE/L002469/1) [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/search?format=XLSX
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    Dataset updated
    May 20, 2020
    Description

    Field data including geological map with sample locations, sample description, thin section images, Electron Backscatter Diffraction (EBSD) and Energy Dispersive X-ray Spectrometry (EDS) data. Field work and targeted sampling took place, in May 2023, around the exceptional field exposure of an interpreted Slow Earthquake zone in Col d’Amoss, New Caledonia. This data has come into existence through research funded by the NERC Grant NE/X012778/1 Exploring the geological signature of Slow Earthquakes through legacy experiments and field analysis.

  4. Tugtutoq statistics (NERC Grant NE/J020877/2)

    • data.europa.eu
    • metadata.bgs.ac.uk
    • +1more
    unknown
    Updated Oct 11, 2021
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    British Geological Survey (BGS) (2021). Tugtutoq statistics (NERC Grant NE/J020877/2) [Dataset]. https://data.europa.eu/data/datasets/tugtutoq-statistics-nerc-grant-ne-j020877-2
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Authors
    British Geological Survey (BGS)
    Area covered
    Tuttutooq
    Description

    Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution. Younger Giant Dyke, Tugtutoq, South Greenland.

  5. Thin Client Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
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    Technavio, Thin Client Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, UK, Germany, Japan - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/thin-client-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, United Kingdom, Global
    Description

    Snapshot img

    Thin Client Market Size 2024-2028

    The thin client market size is forecast to increase by USD 77.1 million at a CAGR of 1.19% between 2023 and 2028. The market is witnessing significant growth due to the increasing demand for power consumption reduction and energy efficiency in IT infrastructure. Remote work and the shift towards digital transformation are major drivers fueling the adoption of thin clients. Zero clients and cloud-based services are gaining popularity as they offer cost savings and ease of management. The use of data centers is increasing as businesses seek to centralize their IT operations. In terms of trends, the market is witnessing the increasing adoption of IGEL OS and other operating systems that support various applications and protocols. Additionally, the emergence of Windows 10 IoT Enterprise is expected to create new opportunities for thin client companies.

    Request Free Sample

    Thin clients are computing devices designed to access applications and data from centralized servers rather than relying on local storage and processing power. These devices, which include thin client computers and zero clients, have gained traction among organizations as a cost-effective and energy-efficient alternative to traditional desktops and laptops. Thin clients differ from desktop and laptop computers in their hardware configurations. They lack a hard drive, instead relying on flash memory for basic operating system (OS) functions and terminal services (TS) for application delivery. This minimal hardware setup results in lower power consumption and reduced energy costs.

    Furthermore, thin clients depend on centralized servers for storing and managing application software and data. This approach offers several advantages, including improved security, easier management, and reduced hardware costs. Organizations can also leverage cloud-based services to store and access data, further enhancing the flexibility and scalability of their IT infrastructure. Thin clients support various connection protocols, including TS, virtual desktops, and web browsing, enabling users to access applications and data from anywhere, using a variety of devices, such as thin client computers, zero clients, and even mobile devices. Device support is another key advantage of thin clients.

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    End-user
    
      BFSI
      IT and telecom
      Healthcare
      Retail
      Others
    
    
    Form Factor
    
      Standalone
      With monitor
      Mobile
    
    
    Geography
    
      North America
    
        US
    
    
      Europe
    
        Germany
        UK
    
    
      APAC
    
        China
        Japan
    
    
      South America
    
    
    
      Middle East and Africa
    

    By End-user Insights

    The BFSI segment is estimated to witness significant growth during the forecast period. The Information Technology (IT) landscape in the Financial, Business Services, and Insurance (BFSI) sector is witnessing significant shifts as companies look to enhance their support servers and facilitate seamless application upgrades for critical systems like general ledgers and payroll. This trend is driven by the sector's ongoing digital transformation initiatives. In the US market, BFSI organizations are investing heavily in various technology trends, including cloud computing, virtualization, and web-based applications. The cloud computing trend is gaining traction due to its cost-effective and scalable nature. The IGEL Ready Program, an initiative that enables interoperability between IGEL OS-powered thin clients and cloud-based applications, is a testament to this trend.

    Furthermore, the adoption of API banking solutions is on the rise, allowing for more secure and efficient banking services. Automation is another key trend, with robotics, optical character recognition, and natural language processing platforms being increasingly utilized to streamline digital processes. Additionally, disruptive technologies like Artificial Intelligence (AI) and blockchain are being explored for their potential use cases and proof of concepts. These trends underscore the growing demand for secure computing solutions and IT resources in the BFSI sector. As a professional virtual assistant, I can help you navigate these trends and provide insights on how to best leverage them for your organization.

    Get a glance at the market share of various segments Request Free Sample

    The BFSI segment was valued at USD 344.20 million in 2018 and showed a gradual increase during the forecast period.

    Regional Insights

    North America is estimated to contribute 39% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

  6. Map based index (GeoIndex) rock samples

    • data.gov.uk
    • cloud.csiss.gmu.edu
    • +4more
    html, wms
    Updated Jun 26, 2017
    + more versions
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    British Geological Survey (BGS) (2017). Map based index (GeoIndex) rock samples [Dataset]. https://www.data.gov.uk/dataset/932f9218-1141-44ab-a9dd-3c6b0421b60b/map-based-index-geoindex-rock-samples
    Explore at:
    wms, htmlAvailable download formats
    Dataset updated
    Jun 26, 2017
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Authors
    British Geological Survey (BGS)
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The map shows the localities where samples that form part of the BGS rock collections have been taken. Many of these samples are from surface exposure, and were collected by BGS geologists during the course of geological mapping programmes. Others are from onshore boreholes or from mine and quarry workings. The principal collections are the E (England and Wales), S (Scotland), N (continuation of the S collection) and the MR (miscellaneous). The collections, which are held at the BGS offices at Keyworth (Nottingham) and Edinburgh, comprise both hand specimens and thin sections, although in individual samples either may not be immediately available. Users may also note that the BGS holds major collections of borehole cores and hand specimens as well as over a million palaeontological samples. The Britrocks database provides an index to these collections. With over 120,000 records, it now holds data for some 70% of the entire collections, including the UK samples shown in this application as well as rocks from overseas locations and reference minerals. The collections are continuously being added to and sample records from archived registers are also being copied into the electronic database. Map coverage is thin in some areas where copying from original paper registers has not been completed. Further information on Britrocks samples in these and other areas can be obtained from the Chief Curator at the BGS Keyworth (Nottingham) office or from the rock curator at the BGS Murchison House (Edinburgh) office.

  7. Geoelectric field maps of the UK from four large geomagnetic storms derived...

    • metadata.bgs.ac.uk
    • gimi9.com
    • +2more
    html
    Updated Jun 8, 2021
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    British Geological Survey (2021). Geoelectric field maps of the UK from four large geomagnetic storms derived from thin-sheet model (NERC Grant NE/P017231/1) [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/c4cc72c2-0250-3192-e054-002128a47908
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 8, 2021
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Time period covered
    Mar 13, 1989 - Sep 8, 2017
    Area covered
    Description

    This is a thin-sheet model of the regional geoelectric field covering the UK and Ireland, which is a combination of the response of the ground conductivity in a region with the spatial and temporal measurements of the rate of change of the horizontal components of the magnetic field. Output from the BGS Space Weather Impact on Ground-based Systems (SWIGS)

  8. Results of a multivariable Poisson regression to identify difference in...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira (2023). Results of a multivariable Poisson regression to identify difference in incidence of PDAC and BTC per 10000 population across primary care practices within strategic health authorities in the UK. [Dataset]. http://doi.org/10.1371/journal.pone.0108498.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    IRR: adjusted incidence rate ratios.Results of a multivariable Poisson regression to identify difference in incidence of PDAC and BTC per 10000 population across primary care practices within strategic health authorities in the UK.

  9. Makaopuhi Статистика (NERC Grant NERC Grant NE/J020877/2)

    • data.europa.eu
    • metadata.bgs.ac.uk
    • +1more
    unknown
    Updated Oct 17, 2021
    + more versions
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    British Geological Survey (BGS) (2021). Makaopuhi Статистика (NERC Grant NERC Grant NE/J020877/2) [Dataset]. https://data.europa.eu/data/datasets/makaopuhi-statistics-nerc-grant-nerc-grant-ne-j020877-2?locale=bg
    Explore at:
    unknownAvailable download formats
    Dataset updated
    Oct 17, 2021
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    Authors
    British Geological Survey (BGS)
    Area covered
    Makaopuhi Crater
    Description

    Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution.

  10. o

    Data from: An elegy on the famous Thomas Thin, Esq., who was barbarously...

    • llds.phon.ox.ac.uk
    • llds.ling-phil.ox.ac.uk
    Updated Jun 26, 2024
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    George. Gittos (2024). An elegy on the famous Thomas Thin, Esq., who was barbarously murthered [Dataset]. https://llds.phon.ox.ac.uk/llds/xmlui/handle/20.500.14106/A42796?show=full
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    Dataset updated
    Jun 26, 2024
    Authors
    George. Gittos
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    (:unav)...........................................

  11. c

    Research data supporting the publication: 'Structural effects in UO$_2$ thin...

    • repository.cam.ac.uk
    xlsx
    Updated Jun 28, 2017
    + more versions
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    Popel, AJ; Adamska, AM; Martin, PG; Payton, OD; Lampronti, GI; Picco, L; Payne, L; Springell, R; Scott, TB; Monnet, I; Grygiel, C; Farnan, I (2017). Research data supporting the publication: 'Structural effects in UO$_2$ thin films irradiated with U ions' [Dataset]. http://doi.org/10.17863/CAM.10979
    Explore at:
    xlsx(1428717 bytes)Available download formats
    Dataset updated
    Jun 28, 2017
    Dataset provided by
    Apollo
    University of Cambridge
    Authors
    Popel, AJ; Adamska, AM; Martin, PG; Payton, OD; Lampronti, GI; Picco, L; Payne, L; Springell, R; Scott, TB; Monnet, I; Grygiel, C; Farnan, I
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Project: PhD work by A.J. Popel: ‘The effect of radiation damage by fission fragments on the structural stability and dissolution of the UO2 fuel matrix’.

    The Excel file ‘XRD_UO2_films_YSZ’ with raw XRD data supporting Figures 5, 6 and 7 in the publication: A.J. Popel, A.M. Adamska, P.G. Martin, O.D. Payton, G.I. Lampronti, L. Picco, L. Payne, R. Springell, T.B. Scott, I. Monnet, C. Grygiel, I. Farnan, Structural effects in UO2 thin films irradiated with U ions, Nucl. Instr. and Meth. in Phys. Res. B 386 (2016) 8-15, https://doi.org/10.1016/j.nimb.2016.09.019.

    The XRD analysis was performed to assess crystallographic structure of the as-produced and irradiated thin films of UO2 on YSZ substrates. The data were generated in June-July 2014 at the Department of Earth Sciences, University of Cambridge, Cambridge, UK. A D8 Bruker diffractometer equipped with a primary Ge monochromator for Cu Ka1 and a Sol-X solid state detector operating in standard Bragg-Brentano geometry was used for the analysis. The samples were spun during signal collection and a zero-background sample holder was used in all cases.

    The data can be accessed through the University of Cambridge Data Repository.

  12. f

    Results of multivariable Poisson regression to identify socio-demographic...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira (2023). Results of multivariable Poisson regression to identify socio-demographic variables in PDAC and BTC in the primary care setting. [Dataset]. http://doi.org/10.1371/journal.pone.0108498.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IRR: adjusted incidence rate ratios.Results of multivariable Poisson regression to identify socio-demographic variables in PDAC and BTC in the primary care setting.

  13. c

    Research data supporting "Controlling Ag diffusion in ZnO by donor doping: a...

    • repository.cam.ac.uk
    Updated Jul 12, 2017
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    Wang, T; Bristowe, P (2017). Research data supporting "Controlling Ag diffusion in ZnO by donor doping: a first principles study" [Dataset]. http://doi.org/10.17863/CAM.11020
    Explore at:
    Dataset updated
    Jul 12, 2017
    Dataset provided by
    Apollo
    University of Cambridge
    Authors
    Wang, T; Bristowe, P
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data and lattice structures used to calculate the formation energies and diffusion barriers are available in this dataset. The transition state structures used for charge density analysis are also provided.

  14. f

    Incidence rates of PDAC and BTC per 100,000 population, between 2000 and...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira (2023). Incidence rates of PDAC and BTC per 100,000 population, between 2000 and 2010 in primary care across a range of sociodemographic variables. [Dataset]. http://doi.org/10.1371/journal.pone.0108498.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Margaret G. Keane; Laura J. Horsfall; Greta Rait; Stephen P. Pereira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Incidence rates of PDAC and BTC per 100,000 population, between 2000 and 2010 in primary care across a range of sociodemographic variables.

  15. Data from: Thesis data

    • cord.cranfield.ac.uk
    • figshare.com
    text/x-python
    Updated Jan 18, 2016
    + more versions
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    Matthew Partridge (2016). Thesis data [Dataset]. http://doi.org/10.6084/m9.figshare.801094.v1
    Explore at:
    text/x-pythonAvailable download formats
    Dataset updated
    Jan 18, 2016
    Dataset provided by
    figshare
    Authors
    Matthew Partridge
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is a collection of the data associated with my PhD thesis

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    Learn how you can add new datasets to our index.

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British Geological Survey (2012). Digital images of petrology rock thin sections [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/d02ed16f-7a23-4a2d-e044-0003ba9b0d98
Organization logo

Digital images of petrology rock thin sections

Explore at:
httpAvailable download formats
Dataset updated
Feb 2012
Dataset authored and provided by
British Geological Surveyhttps://www.bgs.ac.uk/
License

http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

Description

Digital images of petrology rock thin sections from samples that are referenced in the BGS Petrological Collection Database (Britrocks). Two reference images are being captured for each thin section, one taken in Plane Polarized Light (PPL) and the other in Crossed Polarized Light (XPL). The Britrocks database provides an index to the BGS mineralogical & petrological collection. The computer database covers samples in the UK onshore mapping collection together with worldwide reference minerals and the Museum Reserve collection. The first England and Wales collection sample is from circa 1877, Threshthwaite Comb, Cumbria (collected by the Reverend Clifton Ward). The addition of new samples, transfer of records from registers and updates of existing records is ongoing on a regular basis. Internet access to the database is provided on the BGS web site. Capture of the Scottish Collections began February 2012. Capture of the English and foreign collections began in December 2012.

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