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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
49,416 datasets
Leeds City Council provides data on the number and value of payments received through online and telephone channels. The dataset distinguishes between internet payments, automated telephone payments (IVR), and agent-assisted telephone payments. It is an automated dataset last updated on 2026-07-08.
Network contribution area scores identify regions with a high potential for surface water flow into the river network in Northern Ireland. The scores were calculated within SAGA GIS using inputs from the CEH Land Cover 2007 map, Met Office average rainfall data, and a 5-meter Digital Terrain Model. The 'High contribution' category is defined as areas scoring above one standard deviation from the mean, highlighting zones of significant hydrological connectivity.
Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and a 5 meter Digital Terrain Model. The 'High contribution' category boundary was determined by selecting +1 standard deviation of the distribution of the scores, identifying areas with above-average potential for surface water flow into river networks.
Larne Lough Network Contribution data provides geospatial scores identifying areas contributing high surface water flow into the river network of Northern Ireland. The scores were calculated within SAGA GIS using inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model. The 'High contribution' category is defined as areas scoring above +1 standard deviation from the mean.
Network contribution area scores for Upper Lough Erne, derived from 2007 land cover, average rainfall, and a 5-meter digital terrain model. The scores, exported from the SciMAP application within SAGA GIS, identify high-contribution areas defined as one standard deviation above the mean. This geospatial layer supports hydrological analysis and water resource management for the Northern Ireland region.
Network contribution area scores identify zones with high potential for surface water flow into river networks. The scores were calculated within SAGA GIS using inputs from the CEH Land Cover 2007 map, Met Office average rainfall data, and a 5-meter Digital Terrain Model. Areas classified as 'High contribution' represent locations scoring above +1 standard deviation of the calculated score distribution.
Network contribution area scores identify zones contributing significantly to surface water flow in Northern Ireland's Faughan catchment. These scores were derived from a 2007 land cover map, average rainfall data, and a 5-meter digital terrain model using the SciMAP application within SAGA GIS. The 'High contribution' category is defined statistically as areas scoring above one standard deviation from the mean.
Network contribution area scores identify zones of high hydrological connectivity within the Burn Dennet and Foyle catchments in Northern Ireland. The scores were calculated in SAGA GIS using inputs from the CEH Land Cover 2007 map, Met Office average rainfall data, and a 5-meter Digital Terrain Model. The resulting layer is suitable for web map visualization, dashboard analysis, and download in multiple geospatial formats.
Derived from 2007 land cover, rainfall, and terrain data, this geospatial layer identifies areas with high potential for contributing surface water flow to the river network in Northern Ireland. It was created by analyzing CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model within the SciMAP application in SAGA GIS. The 'High Network Contribution' category is defined as areas scoring above one standard deviation from the mean contribution score.
Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and a 5 meter Digital Terrain Model. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores, identifying areas with above-average potential for surface water flow into river networks.
Northern Ireland's Strangford Lough region is covered by this geospatial dataset of network contribution area scores. The scores, derived from SciMAP application outputs within SAGA GIS, are based on inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model. The 'High contribution' category boundary is defined as areas scoring above +1 standard deviation of the score distribution.
Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and a 5 meter Digital Terrain Model. This geospatial layer identifies high-contribution areas for surface water flow, defined as areas scoring above +1 standard deviation of the distribution.
Northern Ireland's surface water network contribution scores, derived from land cover, rainfall, and terrain data. This geospatial layer identifies areas contributing high surface flow, calculated using a standard deviation threshold from SciMAP application outputs. It is suitable for web map visualization, dashboard analysis, and is available for download.
Northern Ireland's Roe Network Contribution dataset identifies areas with high potential for contributing surface water flow to river networks. The data consists of scores derived from a 2007 land cover map, average rainfall data, and a 5-meter digital terrain model, processed within the SciMAP application in SAGA GIS. The 'High contribution' category is defined statistically as areas scoring above one standard deviation from the mean.
Network contribution area scores identify zones with high potential for surface water flow into river networks in Northern Ireland. The scores were calculated within SAGA GIS using inputs from the CEH Land Cover 2007 map, Met Office average rainfall data, and a 5-meter Digital Terrain Model. High contribution areas are defined as those scoring above one standard deviation from the mean.
NHS Digital provides annual counts of dentists who performed NHS activity in England. The data categorizes dentists by their contractual arrangements: General Dental Services (GDS), Personal Dental Services (PDS), and Trust-led Dental Services (TDS). The dataset was last updated on 2026-07-08 and is released under the OGL-UK-3.0 license.
England's riparian zones are the focus of this geospatial dataset, which identifies potential locations for tree planting to attenuate flooding as part of the Working with Natural Processes (WWNP) project. It estimates suitable areas on smaller floodplains near flow pathways by applying a 50-meter buffer to river networks and excluding existing constraints like woodland, watercourses, and urban areas. The data is indicative, based on open data, and designed to support initial site signposting rather than detailed planning.
UK Trade in Services data from the Office for National Statistics highlights the UK's major trading partners and common service types across industries. The dataset provides a geographical breakdown of services trade and an industry-level analysis. It is designated as Official Statistics, though not as National Statistics, and was last updated on 2026-07-08.
Official UK Ministry of Justice statistics document the final month of the End of Custody Licence (ECL) prisoner release scheme, which was terminated in March 2010. The report covers releases up to 9 April 2010 and recalls notified by 26 April 2010, marking the last monthly publication on the program. A final set of tables was later published in the Offender Management Caseload Statistics in July 2010.
2019 data covering all subsidies and transfers paid out by the city of Linz to associations, institutions, local authorities, companies, organizations, and individuals during the calendar year. The dataset is provided by Cooperation OGD Österreich and Wikimedia Österreich and is available in CSV and PDF formats under a CC-BY-4.0 license.