From October to November 2024, approximately **** percent of search queries on Google were navigational, when users seek specific websites. Alternatively, more than ** percent of the intent on ChatGPT was informational, when users look for answers or data. On the other hand, the percentage of transactional and commercial queries stayed practically the same on both platforms.

This is a data set of delay timer design for paper ''Multivariate alarm monitoring for non-convex normal operating zones based on search cones''.

This file contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom as at May 2025 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. To download the zip file click the Download button. The NSPL relates both current and terminated postcodes to a range of current statutory geographies via ‘best-fit’ allocation from the 2021 Census Output Areas (national parks and Workplace Zones are exempt from ‘best-fit’ and use ‘exact-fit’ allocations) for England, Wales, Scotland and Northern Ireland.

It supports the production of area-based statistics from postcoded data. The NSPL is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The NSPL is issued quarterly. (File size - 178 MB).[17/06/2025] V2 corrects the conversion of latitude and longitude for Northern Ireland postcodes.

This file contains the National Statistics UPRN Lookup (NSUL) for Great Britain as at February 2025. The NSUL relates the Unique Property Reference Number (UPRN) for each GB address from AddressBase® Epoch 116 to a range of current statutory administrative, electoral, health and other statistical geographies via 'best-fit' allocation from 2021 Census output areas (National Parks and Workplace Zones are exempt from 'best-fit' and use 'exact-fit' allocations). The NSUL is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The NSUL is issued every 6 weeks and is designed to complement the Ordnance Survey AddressBase® product. For further technical information about this file, please refer to the User Guide document contained within the downloadable zip file. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights. (File Size – 478 MB)

Explore the historical Whois records related to ons.technology (Domain). Get insights into ownership history and changes over time.

As of June 2024, global searches for the keyword "generative AI" had experienced an increase in the previous year. The search terms for generative artificial intelligence surged in popularity from mid-February to early March 2024, hitting a score of 100 index points in the week ending March 3. Interest in "generative AI" frequently coincides with searches for ChatGPT, an AI chatbot model developed by the United States-based research company OpenAI.

This dataset is hosted on IEEE DataPort(TM)

A lookup table listing each local authority in England and Wales, the region it is located within, its local authority code and region code.

Mid-year (30 June) estimates of the usual resident population for Lower layer Super Output Areas (LSOAs) in England and Wales by single year of age and sex.

Replication data for: "The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data"

This TRbase is a relational tandem repeat database that relates tandem repeats to gene locations and disease genes of the human genome. The TRbase stores both perfect and imperfect repeats of 1 to 2000 bp unit lengths that were identified using the Tandem Repeat Finder program. Disease information for all 24 chromosomes was retrieved from the Online Mendelian Inheritance in Man (OMIM) database. There are five main search forms by which the user may query the database: 1. The Advanced tandem repeat search: This allows a complete search for tandem repeats using a combination of criteria, such as total tandem repeat length, repeat unit length, copy number of the repeats, percentage matches and the consensus repeat pattern. On submission, the number of repeats and the detailed tandem repeat characteristics of each repeat that match the user query are tabulated. 2. The Main search: This relates tandem repeat data to genes and diseases. The user may specify a gene of interest to view details of all repeats associated with it or search for tandem repeats present in a particular disease by entering the name/keyword for the disease or the MIM number of the disease gene. 3. The Composite search: This more advanced search allows the user to query specifically for repeats present in exons, introns or intergenic regions of a gene or disease gene. 4. The Gene Search: Further information on genes can be available by a simple gene name search on this page. 5. The Disease search: This allows extensive information on disease genes on all chromosomes of the human genome. Searching for a MIM number, or keyword searches specifying the features of the disease, will retrieve the information on the disease and the chromosome in which the disease gene occurs. Each entry retrieved is linked to the OMIM database for detailed literature and gene map information on the disease.

The NTEM SynthPop project required open data, as per OGL License (v1.0).

The data register:

data_register:
geography_msoa_ew:
description: MSOA boundaries, 2021.
geography: MSOA
region: England and Wales
last accessed: 10/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::middle-layer-super-output-areas-december-2021-boundaries-ew-bsc-v2/about
notes: (BSC) Super generalised (200m) - clipped to the coastline (Mean High Water mark).
path: "MSOA_2021_EW_BSC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_iz_sc:
description: Proposed IZ boundaries, 2022.
geography: IZ
region: Scotland
last accessed: 19/08/2024
link: https://scotgov.maps.arcgis.com/home/item.html?id=90bf46cbf2254e80820a98d815c8fbcf
notes: Proposed Intermediate Zones 2022 Boundaries - for consultation
path: "Proposed_IZ_2022_Boundaries.zip"
source: "Scotland Census"
year: 2022
geography_oa_ew:
description: OA boundaries, 2021.
geography: OA
region: England and Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-areas-december-2021-boundaries-ew-bgc-v2/about
notes: (BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).
path: "boundaries/Output_Areas_2021_EW_BGC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_lad_2018_gb:
description: LAD boundaries, 2018.
geography: LAD
region: England, Wales and Scotland
last accessed: 19/11/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-december-2018-boundaries-gb-bfc-2/about
notes: This file contains the digital vector boundaries for Local Authority Districts in Great Britain, as at December 2018.
path: "boundaries/LAD_Dec_2018_Boundaries_GB_BFC_2022_544341751432792127.gpkg"
source: Open Geography Portal
year: 2018
geography_msoa_population_weighted_centroids_ew:
description: Population-weighted centroids for MSOA boundaries.
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "This file contains the digital population weighted centroids for Middle layer Super Output Areas for England and Wales as at 31 December 2021. The centroids were created using Full Resolution, Extent of the Realm boundaries. Contains both Ordnance Survey and ONS Intellectual Property Rights."
path: "boundaries/Middle_Super_Output_Areas_DEC_2021_EW_PWC.gpkg"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_best_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (best fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Best_Fit_Lookup_for_EW_(V2).csv"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_exact_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (exact fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: >
This is an exact fit lookup file between Middle layer Super Output Areas as at December 2011 and Middle layer Super Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales. This product has been provided with a change indicator field, that define the lookup between 2011 and 2021 MSOA. This field indicates which output areas / super output areas have changed between 2011 and 2021. This version 2 has had some changes to the change indicator field where splits have gone to complexes in under 10 MSOAs. There are four designated categories to describe the changes, and these are as follows:
U - No Change from 2011 to 2021. This means that direct comparisons can be made between these 2011 and 2021 MSOA.
S - Split. This means that the 2011 MSOA has been split into two or more 2021 MSOA. There will be one record for each of the 2021 MSOA that the 2011 MSOA has been split into. This means direct comparisons can be made between estimates for the single 2011 MSOA and the estimates from the aggregated 2021 MSOA.
M - Merged. 2011 MSOA have been merged with another one or more 2011 MSOA to form a single 2021 MSOA. This means direct comparisons can be made between the aggregated 2011 MSOAs’ estimates and the single 2021 MSOA’s estimates.
X - The relationship between 2011 and 2021 MSOA is irregular and fragmented. This has occurred where 2011 MSOA have been redesigned because of local authority district boundary changes, or to improve their social homogeneity. These can’t be easily mapped to equivalent 2021 MSOA like the regular splits (S) and merges (M), and therefore like for like comparisons of estimates for 2011 MSOA and 2021 MSOA are not possible.'
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Lookup_for_England_and_Wales.gpkg"
source: Office for National Statistics
year: 2021
lookup_msoa_2021_region_ew:
description: Lookup between 2021 Middle Layer Super Output Areas (MSOA), built up areas (BUA), local authority districts (LAD) and regions (RGN) (best fit).
geography: MSOA
region: England & Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::msoa-2021-to-bua-to-lad-to-region-december-2022-best-fit-lookup-in-ew-v2/about
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2021)_to_Built-up_Area_to_Local_Authority_District_to_Region_(December_2022)_Lookup_in_England_and_Wales_v2.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2011_oa_2021_ew:
description: Lookup between 2011 Output Areas (OA11) and 2021 Output Areas (OA21).
geography: OA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::oa-2011-to-oa-2021-to-local-authority-district-2022-exact-fit-lookup-in-ew-v2/about
notes: "This is an exact-fit lookup file between Output Areas as at December 2011 and Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales."
path: "boundaries/OA11_OA21_LAD22_EW_LU_Exact_fit_V2_7175137222568651779.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2021_msoa_2021_ew:
description: Lookup between Output Areas (OA 2021) and Middle Layer Super Output Areas (MSOA 2021).
geography: OA, MSOA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-area-2021-to-lsoa-to-msoa-to-lad-december-2021-exact-fit-lookup-in-ew-v3/about
notes: "A lookup between Output Areas (OA), Lower layer Super Output Areas (LSOA), Middle layer Super Output Areas (LSOA) and Local Authority Districts (LAD) as at 31 December 2021 in England and Wales."
path: "boundaries/Output_Area_to_Lower_layer_Super_Output_Area_to_Middle_layer_Super_Output_Area_to_Local_Authority_District_(December_2021)_Lookup_in_England_and_Wales_v3.csv"
source: Office for National Statistics
year: 2021
census_households_oa_2021_ew:
description: TS041-oa - Number of Households (output areas).
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://www.nomisweb.co.uk/output/census/2021/census2021-ts041.zip
notes: Number of Households (oa).
path: "census_2021/census2021-ts041-oa.csv"
source: Office for National Statistics
year: 2021
ruc_oa_ew:
description: Rural / Urban classification at Output Area (OA) level.
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://geoportal.statistics.gov.uk/datasets/53360acabd1e4567bc4b8d35081b36ff/about
notes: "This file provides a rural-urban view of 2011 Output Areas (OA) in England and Wales."
path: "ruc/RUC11_OA11_EW.csv"
source: Office for National Statistics
year: 2021
geography_ntem:
description: NTEM zoning system.
geography: NTEM
region: GB
path: "..."
year: 2021
template_populationsim:
description: Template PopulationSim set up.
geography: MSOA
region: GB
path: "template_populationsim"
source: PopulationSim repo & Arup
year: 2021
nts_persons:
description: Individuals table from the National Travel Survey for the period 2002-2022.
geography: Region
region: England, Wales & Scotland
path: "nts/individual_eul_2002-2022.tab"
nts_households:
description: Households table from the National Travel Survey for

Annual data on deaths registered by age, sex and selected underlying cause of death. Tables also provide both mortality rates and numbers of deaths over time.

Explore the historical Whois records related to preeti-ons.com (Domain). Get insights into ownership history and changes over time.

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and financial systems. Domain experts are often interested in searching for interesting multivariate patterns from these MTS databases which can contain up to several gigabytes of data. Surprisingly, research on MTS search is very limited. Most existing work only supports queries with the same length of data, or queries on a fixed set of variables. In this paper, we propose an efficient and flexible subsequence search framework for massive MTS databases, that, for the first time, enables querying on any subset of variables with arbitrary time delays between them. We propose two provably correct algorithms to solve this problem — (1) an R-tree Based Search (RBS) which uses Minimum Bounding Rectangles (MBR) to organize the subsequences, and (2) a List Based Search (LBS) algorithm which uses sorted lists for indexing. We demonstrate the performance of these algorithms using two large MTS databases from the aviation domain, each containing several millions of observations. Both these tests show that our algorithms have very high prune rates (>95%) thus needing actual disk access for only less than 5% of the observations. To the best of our knowledge, this is the first flexible MTS search algorithm capable of subsequence search on any subset of variables. Moreover, MTS subsequence search has never been attempted on datasets of the size we have used in this paper.

Anonymized data from the survey on High-level Search Activities based on the Stratagem Level in Digital Libraries.

500k User Session Collection This collection is distributed for NON-COMMERCIAL RESEARCH USE ONLY. Any application of this collection for commercial purposes is STRICTLY PROHIBITED. #### Brief description: This collection consists of ~20M web queries collected from ~650k users over three months. The data is sorted by anonymous user ID and sequentially arranged. The goal of this collection is to provide real query log data that is based on real users. It could be used for personalization, query reformulation or other types of search research. The data set includes AnonID, Query, QueryTime, ItemRank, ClickURL. AnonID - an anonymous user ID number. Query - the query issued by the user, case shifted with most punctuation removed. QueryTime - the time at which the query was submitted for search. ItemRank - if the user clicked on a search result, the rank of the item on which they clicked is listed. ClickURL - if the user clicked on a search result, the domain portion of the URL i

The market growth of advertising on search engines in China has significantly slowed down since 2018. In 2022, the ad revenue on search engines in China was forecasted to increase by *** percent to ***** billion yuan.