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49,398 datasets
Carlingford and Newry Network Contribution data contains geospatial scores identifying areas of high contribution to surface water networks in Northern Ireland. The scores were calculated within SAGA GIS using inputs from the CEH Land Cover 2007 dataset, Met Office average rainfall, and a 5-meter Digital Terrain Model. The 'High contribution' category is defined as areas scoring above one standard deviation from the mean.
Network contribution area scores derived from hydrological modeling within SAGA GIS. The scores are based on inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model. The 'High Network Contribution' category boundary was determined by selecting areas scoring above +1 standard deviation of the score distribution.
Network contribution area scores identify zones with high potential for surface water flow into river networks in Northern Ireland. The data is derived from a 2007 land cover map, average rainfall, and a 5-meter digital terrain model, processed using the SciMAP application in SAGA GIS. The 'High contribution' category is defined as areas scoring above one standard deviation from the mean.
Network contribution area scores identify regions 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. The 'High contribution' category is defined as areas scoring above one standard deviation from the mean.
Owenkillew Network Contribution scores quantify areas of high hydrological connectivity in Northern Ireland. The scores were generated in SAGA GIS using inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model. This geospatial layer is suitable for web map visualization, dashboard analysis, and download in multiple formats.
Lough Neagh Network Contribution data contains scores exported from SciMAP application outputs within SAGA GIS. The scores are based on inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model (DTM). The 'High contribution' category boundary was determined by selecting areas with scores greater than +1 standard deviation from the distribution mean.
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 data layer is intended for visualization in web maps, use in dashboards, and is downloadable in multiple geospatial formats.
One data file from a 10-week aquarium experiment manipulating salinity and measuring responses of three tropical Indo-Pacific seagrass species. The experiment consisted of 12 salinity treatments with four replicate tanks each, conducted at James Cook University. Data likely contains measurements of density, reproduction, and growth for Zostera muelleri, Halodule uninervis, and Halophila ovalis.
Approximately 2.5 months of concurrent acoustic measurements from December 2018 to February 2019 investigate fish aggregations in tidal currents. The dataset includes high-resolution current velocity and direction from an ADCP and volume backscattering strength from a four-frequency echosounder (AZFP) deployed in the Banks Strait, Tasmania. Fish aggregation metrics were derived in post-processing along with environmental conditions like current shear and tidal stage.
Over 7,000 days of wave measurements from 20 shallow water locations in New South Wales, Australia, collected between 2016 and 2023. The dataset includes time series of spectral and time-domain parameters describing wave height, period, and direction at half-hourly resolution, along with buoy displacement and wave spectra. Data were collected and processed by the NSW Government Environment Coastal and Marine Science team and a snapshot is maintained by the Australian Ocean Data Network.
Fire hydrant data from multiple Quebec municipalities, including Montreal, Quebec City, and Trois-Rivières. The dataset likely contains point locations and associated attributes such as installation date, operational status, owner, and jurisdiction. These records are published annually for public information but are not intended for real-time engineering use without city validation.
England's static point locations for General Practice surgeries, sourced from administrative data. The dataset contains grid-referenced locations for GP services, published by the Office for National Statistics. It covers the year 2006 and excludes mobile services, walk-in centers, and home visits.
England's land use is classified into nine simplified categories, including domestic buildings, non-domestic buildings, roads, and green space. The data is derived from Ordnance Survey MasterMap and published by the Office for National Statistics via Neighbourhood Statistics. It covers the years 2001 and 2005 across multiple geographic levels from Output Areas to the national level.
The Drinking Water Inspectorate's register of private water supplies in Northern Ireland is a geospatial dataset created under the Private Water Supplies Regulations (Northern Ireland) 2017. It contains 100m by 100m square polygons randomly placed around registered supply locations, covering supplies to public, commercial, or multiple domestic premises. The dataset includes both currently and historically monitored supplies as of its creation date of 28 August 2019.
The Drinking Water Inspectorate's register of private water supplies in Northern Ireland is a geospatial dataset created under the Private Water Supplies Regulations (Northern Ireland) 2017. It contains 100m by 100m square polygons randomly placed around registered supplies to public, commercial, or multi-dwelling premises. The dataset includes supplies that were monitored or historically monitored as of its creation date of 31 December 2019.
Drinking Water Inspectorate data contains a register of private water supplies in Northern Ireland, required by the Private Water Supplies Regulations (Northern Ireland) 2017. The spatial dataset represents supplies as 100m by 100m square polygons randomly placed around registered locations. It includes supplies currently or historically monitored for human consumption at public, commercial, or multi-dwelling premises.
Registered private water supplies in Northern Ireland are represented as 100m by 100m square polygons. The dataset includes supplies to public or commercial premises or multiple dwellings, monitored by the Drinking Water Inspectorate under the 2017 regulations. It covers supplies that were currently or historically monitored at the time of its creation on 30th March 2021.
A University of Cambridge study provides simulation data for skyrmion formation in five nanoscale FeGe device structures. The dataset includes archives for preprocessing, simulation scripts, results, and postprocessing for two block and three dumbbell shapes. Author A. C. Twitchett-Harrison created this data to accompany the paper 'Confinement of Skyrmions in Nanoscale FeGe Device Structures.'
LEGGI 2008 is a geographically referenced database of energy consumption and greenhouse gas emissions for the Greater London area. The inventory includes estimates for carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, and sulphur hexafluoride. It is provided by the Greater London Authority and requires a Microsoft Access database to access.
A set of high-quality GIS datasets maps emergent and shallow marine features within the Coral Sea Marine Park. The project, developed by AIMS and Parks Australia from 2021 to 2025, aimed to improve the precision and spatial detail of existing reef maps. Features were manually mapped from composite satellite imagery and validated with bathymetry surveys.