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14,990 datasets
Multiple spatial layers model storm tide inundation, erosion, and groundwater hazards for Port Phillip Bay under various sea level rise scenarios. The dataset includes 10 storm tide inundation layers for a 1% Annual Exceedance Probability event across 5 SLR scenarios, with and without rainfall, and 6 erosion and 6 groundwater hazard layers. The Department of Energy, Environment and Climate Action published this assessment, with technical reports from CSIRO (2022), Water Technology (2023), and Kennedy (2022).
Port Phillip Bay coastal hazard assessment provides spatial layers for modelled storm tide inundation, erosion, and groundwater hazards. The dataset includes multiple scenarios for sea level rise from 0m to 1.4m and is recommended for regional-scale use. It was produced by organizations including CSIRO and Water Technology, with technical reports cited from 2022 and 2023.
Port Phillip Bay coastal hazard data includes modelled storm tide inundation, erosion, and groundwater extents for various sea level rise scenarios. The dataset is a digital spatial product from technical reports by CSIRO (2022), Water Technology (2023), and Kennedy (2022). It is recommended for regional-scale assessments around Port Phillip Bay and is not suitable for individual property analysis.
Port Phillip Bay coastal hazard assessment data includes modelled erosion, inundation, and groundwater hazard extents for various sea level rise scenarios. The dataset is provided by the Department of Energy, Environment and Climate Action and was last updated in June 2026. It is recommended for regional-scale planning around Port Phillip Bay and is supported by technical reports from CSIRO (2022), Water Technology (2023), and Kennedy (2022).
Multiple spatial layers model storm tide inundation, erosion, and groundwater hazards for Port Phillip Bay under various sea level rise scenarios. The dataset is produced by the Department of Energy, Environment and Climate Action, with technical reports from CSIRO (2022), Water Technology (2023), and Kennedy (2022). It was last updated on 2026-06-14.
The Port Phillip Bay Coastal Hazard Assessment is a digital dataset consisting of multiple spatial layer outputs from modelled erosion, inundation and groundwater hazard scenarios. It is produced by the Department of Energy, Environment and Climate Action and was last updated in June 2026. The dataset includes modelled erosion extents for a 1% Annual Exceedance Probability storm event under a 0.8m sea level rise scenario projected for the year 2100.
Annual school census data from Northern Ireland qualifies as National Statistics. The dataset tracks counts of schools across management types including Controlled, Voluntary (Maintained and Non-Maintained), Grant-Maintained Integrated, and Independent schools from 1991 to 2017. It is produced by OpenDataNI under the OGL-UK-3.0 license.
A total of 111 Tasmanian estuaries were classified into nine groups based on physical attributes like salinity and tidal data. Baseline information on macrobenthic invertebrates was collected from 55 sites in 48 estuaries, covering 390 taxa and over 100,000 individuals. Data on the distribution of 101 fish species from surveys of 75 estuaries were also incorporated.
Data from 2014 to 2024 covers school fines for 2015-16 and 2016-17, primary and secondary school admission arrangements for 2017-2018 and 2018-2019, and schools transitioning to academy trusts. It is published by the City of Bradford Metropolitan District Council and includes key contact information for schools.
A 5x5m resolution grid of modelled fluvial flood depths for England, produced in 2004 using the JFlow hydrodynamic model. The data covers two flood probability scenarios: a 0.1% and a 1% annual chance of flooding, and was created to fill gaps in detailed local modelling for spatial planning. This generalised dataset is now superseded by more recent local models in many areas and is intended for broad-scale assessments only.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for England, produced in 2004 using the JFlow hydrodynamic model on a 5x5m grid. The data was created for two flood probability scenarios (0.1% and 1% annual chance) to fill gaps in detailed local modelling for spatial planning. This generalised dataset is available as separate 100x100km tiles covering specific Ordnance Survey National Grid references (e.g., TA, TG, TQ, TR).
2004 modelled fluvial flood depth data for England, created using the JFlow hydrodynamic model on a 5x5m grid. It represents two flood probability scenarios: a 0.1% and a 1% annual chance of flooding, produced to fill gaps in detailed local data for spatial planning. The dataset is available in 100x100km tiles, such as the TM grid reference, but has not been updated since its creation.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for England, created in 2004. The data was generated using the JFlow two-dimensional hydrodynamic model on a 5x5m grid to fill gaps in detailed local modelling for spatial planning. It covers specific flood probabilities but has not been updated since its creation, and more recent local models are recommended for detailed assessments.
Modelled fluvial flood depth data was created in 2004 for 1% and 0.1% annual chance flood events across England. The dataset is a by-product of a generalised modelling project using the JFlow hydrodynamic model on a 5x5 meter grid to fill gaps in detailed local data for spatial planning. It is available in 100x100km tiles, such as grid reference TF, but has not been updated since its creation and is intended for broad-scale analysis only.
Modelled fluvial flood depth data was produced in 2004 using the JFlow two-dimensional hydrodynamic model on a 5x5m grid. The dataset covers the whole of England, with individual files corresponding to 100x100km Ordnance Survey National Grid squares like SU and SZ. It was created for 0.1% and 1% annual chance flood events to define Flood Zones for spatial planning, but has not been updated since its creation.
Modelled fluvial flood depth data was created in 2004 for 0.1% and 1% annual chance flood events using the JFlow two-dimensional hydrodynamic model on a 5x5m grid. The dataset covers the whole of England, but is distributed as 100x100km tiles based on Ordnance Survey National Grid references, such as SY and SJ. Its primary purpose was to fill gaps in detailed local data for defining Flood Zones for spatial planning, but it has not been updated since its creation.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for England, created as part of the 2004 generalised modeling project. The data, generated using the JFlow two-dimensional hydrodynamic model on a 5x5m grid, covers both 1% and 0.1% annual chance flood scenarios. It was intended to fill gaps in detailed local data for spatial planning but has not been updated since its creation.
2004 modelled fluvial flood depth data for England, created using the JFlow hydrodynamic model on a 5x5m grid. The dataset was produced as part of a generalised modelling project to define Flood Zones for spatial planning, covering both 1% and 0.1% annual chance flood events. It is available in 100x100km tiles, such as the SW grid reference, but has not been updated since its creation.
Modelled fluvial flood depth data was produced on a 5x5 meter grid using the JFlow hydrodynamic model. This dataset covers England but is provided in 100x100km tiles, with this specific instance for the Ordnance Survey National Grid reference ST. It represents two flood probabilities: a 0.1% and a 1% annual chance of flooding, created to fill gaps in detailed local data for spatial planning in 2004.
Environment Agency's AfA238 Flood Zone Depth Grid Dataset provides modelled fluvial flood depth data for England, created in 2004 using the JFlow two-dimensional hydrodynamic model on a 5x5m grid. The data was produced for two flood probability scenarios: a 0.1% and a 1% annual chance of flooding, to fill gaps in detailed local modelling for spatial planning flood zone definitions. This generalised dataset covers the whole of England but is distributed in 100x100km tiles, such as the provided tile for Ordnance Survey grid reference SP, and has not been updated since its creation.