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We are currently unable to provide figures on matches made against profiles on the National DNA Database.
https://webarchive.nationalarchives.gov.uk/ukgwa/20230502153339/https://www.gov.uk/government/statistics/national-dna-database-statistics">Statistics from Q1 2013 to Q4 2022 to 2023 are available on the National Archives.
Figures for Q2 2014 to 2015 are unavailable. This is due to technical issues with the management information system.
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Twitterhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_END_USER.pdf
https://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdfhttps://catalogue.elra.info/static/from_media/metashare/licences/ELRA_VAR.pdf
The UK English Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 606 adult UK English speakers (325 males, 281 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place), and consisting of about 195 hours of audio data. 2) The second set comprises the recordings of 51 child UK English speakers (14 boys, 37 girls), recorded over 4 microphone channels in 1 recording environment (children room), and consisting of about 9 hours of audio data. This database is partitioned into 31 DVDs (first set) and 4 DVDs (second set).The speech databases made within the Speecon project were validated by SPEX, the Netherlands, to assess their compliance with the Speecon format and content specifications.Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items (over 290 items for adults and over 210 items for children):Calibration data: 6 noise recordings The “silence word” recordingFree spontaneous items (adults only):5 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics)17 Elicited spontaneous items (adults only):3 dates, 2 times, 3 proper names, 2 city names, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language Read speech:30 phonetically rich sentences uttered by adults and 60 uttered by children5 phonetically rich words (adults only)4 isolated digits1 isolated digit sequence4 connected digit sequences1 telephone number3 natural numbers1 money amount2 time phrases (T1 : analogue, T2 : digital)3 dates (D1 : analogue, D2 : relative and general date, D3 : digital)3 letter sequences1 proper name2 city or street names2 questions2 special keyboard characters 1 Web address1 email address208 application specific words and phrases per session (adults)74 toy commands, 14 phone commands and 34 general commands (children)The following age distribution has been obtained: Adults: 321 speakers are between 16 and 30, 182 speakers are between 31 and 45, 103 speakers are over 46.Children: All 51 speakers are between 11 and 14.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.
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NCBIfam is a collection of protein families, featuring curated multiple sequence alignments, hidden Markov models (HMMs) and annotation, which provides a tool for identifying functionally related proteins based on sequence homology. NCBIfam is maintained at the National Center for Biotechnology Information (Bethesda, MD). NCBIfam includes models from TIGRFAMs, another database of protein families developed at The Institute for Genomic Research, then at the J. Craig Venter Institute (Rockville, MD, US).
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SFLD (Structure-Function Linkage Database) is a hierarchical classification of enzymes that relates specific sequence-structure features to specific chemical capabilities.
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CDD is a protein annotation resource that consists of a collection of annotated multiple sequence alignment models for ancient domains and full-length proteins. These are available as position-specific score matrices (PSSMs) for fast identification of conserved domains in protein sequences via RPS-BLAST. CDD content includes NCBI-curated domain models, which use 3D-structure information to explicitly define domain boundaries and provide insights into sequence/structure/function relationships, as well as domain models imported from a number of external source databases.
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Summary statistics of business dynamism taken from the Longitudinal Business Database (LBD), UK.
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TwitterThis zip file contains the Code History Database for the United Kingdom as at 1st June 2025. (File size: 52.5 MB)To download the zip file click the Download button.Updates in England to: Civil Parishes (E04), Electoral Wards/Divisions (E05), Non-metropolitan Districts (E07), Metropolitan Districts (E08) Non-Civil Parished Areas (E43), Combined Authorities (E47), County Electoral Divisions (E58), Local Planning Authorities (E60)Updates in Wales to: Communities (W04)
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Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance: F2F = Face-to-face (One Stop Centre) CC = Contact centre (Call centre/telephone)
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TwitterContains water chemistry, littoral and profundal invertebrate data, macrophyte data and will soon include fish data. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_70-L-NA (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_70-L-NA).
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Our dentists database has named practice managers, and includes verified dentists email addresses, for responsive dental marketing promotions.
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This zip file contains the Code History Database for the United Kingdom as at December 2017. To download the zip file click the Download button. The Code History Database (CHD) contains the GSS nine-character codes, where allocated, for current and new statistical geographies from 1 January 2009. The codes consist of a simple alphanumeric structure; the first three characters (ANN) represent the area entity (i.e. type; or category of geography) and the following six characters (NNNNNN) represent the specific area instance. The CHD provides multiple functionality including details of codes, relationships, hierarchies and archived data. The CHD can be used in conjunction with the Register of Geographic Codes (RGC) that summarises the range of area instances within each geographic entity. The GSS Coding and Naming policy for some statistical geographies was implemented on 1 January 2011. From this date, where new codes have been allocated they should be used in all exchanges of statistics and published outputs that normally include codes. For further information on this product, please read the user guide and version notes contained within the product zip file.Updated Geographies
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New entity for County Electoral Divisions (E58)
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Updates to Electoral Wards in England (E05),
Clinical Commissioning Groups in England (E38) (name changes) and Waste
Authorities in England (E50).
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Updates to all
Geography Constitutions to as at 31/12/2017
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Changes to the SI Details, Name Changes and
Information table.
Database Changes
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Updates to
form design to account for December 2017 version have been made.Please Note - Field called Combined in Equivalents.csv and in database has been removed. This field was used for QA purposes. 02/03/18. Some CCGs added to Equivalents table. (09/03/18)
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With a hospitals database covering private hospital groups and hospices, accurate management contact lists can be purchased by size and region.
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TwitterThe third quarterly data for the financial year 2023-24. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR II is a cross-government project to replace the first OSCAR and Combined Online Information System (COINS) public spending databases. It provides us with key management information and data for public reporting.
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Coastal flooding caused by extreme sea levels can produce devastating and wide-ranging consequences. The ‘SurgeWatch’ v1.0 database systematically documents and assesses the consequences of historical coastal flood events around the UK. The original database was inevitably biased due to the inconsistent spatial and temporal coverage of sea-level observations utilised. Therefore, we present an improved version integrating a variety of ‘soft’ data such as journal papers, newspapers, weather reports, and social media. SurgeWatch2.0 identifies 329 coastal flooding events from 1915 to 2016, a more than fivefold increase compared to the 59 events in v1.0. Moreover, each flood event is now ranked using a multi-level categorisation based on inundation, transport disruption, costs, and fatalities: from 1 (Nuisance) to 6 (Disaster). For the 53 most severe events ranked Category 3 and above, an accompanying event description based upon the Source-Pathway-Receptor-Consequence framework was produced. The database contains 58 files: 1 XLSX file, 55 PDF files and 2 CSV file. The first file is a spreadsheet (XLSX) containing the list of all 329 coastal flood events in the database categorised according to the severity scale that we devised. The second and third files are PDF documents containing the short commentaries for all Category 1 and 2 events. There are an additional 53 PDF files containing the longer event commentaries for events ranked Category 3 and higher. A final two CSV files contains the water levels and digitised storm tracks for the 53 Category 3 and higher events. Each of these files is self-describing and is accompanied by extensive metadata. SurgeWatch v2.0 provides the most comprehensive and coherent historical record of UK coastal flooding. It is designed to be a resource for research, planning and management and education. Haigh et al. (2017) provides more detail. Collation of the database and the development of the website was funded through a Natural Environment Research Council (NERC) impact acceleration grant. The database contributes to the objectives of UK Engineering and Physical Sciences Research Council (EPSRC) consortium project FLOOD Memory (EP/K013513/1).
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TwitterAdditional file 1. Breakdown of disease areas where primary care databases are used in NICE technology appraisals.
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TwitterThe fourth quarterly data for the financial year 2023-24. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
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This is a database of pile load test information that has been built as part of the Engineering and Physical Sciences Research Council (EPSRC) funded project EP/P020933/1: Databases to INterrogate Geotechnical Observations (DINGO) which ran between 1 July 2017 and 9 June 2019. The database is populated with data digitised from the literature as well as datasets supplied by contributors from the geotechnical engineering industry in the United Kingdom. Contributors have agreed in writing for their data to be shared via the DINGO Database and are cited as personal communication. v1.1 is a minor revision of v1.0 with some error corrections. v1.0 can be found at https://doi.org/10.5523/bris.3r14qbdhv648b2p83gjqby2fl8. N.b. these data have been superseded by The DINGO Database, v1.2 (https://doi.org/10.5523/bris.1jraem68g7ara21p2oi6hv4z22).
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TwitterField reports and macroseismic questionnaires for recent British earthquakes. As of 2003, data collection for this dataset is mostly digital. Data and Resources BGS Homepage The BGS Homepage is an entry point to the BGS data services.
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TwitterThis project has established a unique database of local elections results in Great Britain. The database contains data for the period of the twentieth century before wholesale local government reorganisation in 1973. It also links the existing English, Welsh and Scottish local election databases. Until now, these results had never been collated together, let alone transformed into machine-readable form.
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TwitterThe first set of quarterly data for the financial year 2015 to 2016. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR is a cross government public spending database. It’s a user-friendly system that provides us with key management information and data for public reporting.
https://data.gov.uk/dataset/coins">View previous in-year data sets at data.gov.uk.
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TwitterThese statistics include:
We are currently unable to provide figures on matches made against profiles on the National DNA Database.
https://webarchive.nationalarchives.gov.uk/ukgwa/20230502153339/https://www.gov.uk/government/statistics/national-dna-database-statistics">Statistics from Q1 2013 to Q4 2022 to 2023 are available on the National Archives.
Figures for Q2 2014 to 2015 are unavailable. This is due to technical issues with the management information system.