AndreaBozzo/ceres-open-data-index huggingface dataset:
FCERM Capital Programme Homes Better Protected - Completed and Delivered Projects 2015-2021

Projects that have either completed or are still in construction but have delivered home better protected from 1/4/15 to 31/3/2021

Only point data based on a single NGR for each project.

As described on the Defra website:
""Between April 2015 and March 2021, the government will invest £2.3 billion in more than 1,500 projects to reduce the risks of flooding or coastal erosion across England.
The Department for Environment, Food and Rural Affairs (Defra) investment plan sets out how this commitment will transform flood and coastal erosion risk management over the coming 6 years. This programme of work will reduce flood risk to more than 300,000 households by March 2021.""
The programme of flood and coastal erosion risk management investment includes projects developed by local authorities, internal drainage boards and the Environment Agency. These risk management authorities work with communities to develop schemes." Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: benefit, capital, defence, environment, point
Organization: Environment Agency
Climate Change Agreements - Target Unit Performance Data

The Climate Change Agreements (Administration) Regulations 2012 require the administrator to publish a report setting out the energy efficiency improvements and emissions reductions achieved by participants.  
Climate Change Agreements (CCAs) are voluntary agreements that set targets on operators to improve their energy efficiency and/or reduce carbon dioxide emissions. The CCA scheme runs from 1 April 2013 to 31 March 2025.  Eligibility to participate in the scheme requires operators to carry out one or more listed ‘eligible activities’. Operators that enter into and abide by the terms and conditions of their CCA are entitled to claim a discount on the Climate Change Levy (CCL), a tax added to electricity, gas and solid fuel bills by suppliers.  Operators must report their energy consumption, carbon emissions and performance against their target for each of the four biennial target periods between 2013 and 2020.  Operators meeting their target at the end of each target period will be certified as eligible to claim a discount on the CCL.
This data set contains the performance results for each target unit participating in the CCA scheme.  A target unit is a group of one or more facilities operated by the same legal entity and set out in an underlying agreement held by the operator.  The underlying agreement sets out individual targets for each of the four biennial target periods.  The data should be read in combination with the previous biennial reports located on GOV.UK.
Data may not be included for some target units where a case for commercial confidentiality has been accepted. Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.

Tags: CCA, climate change agreement, energy, energy efficiency, environment, industry
Organization: Environment Agency
Climate Change Agreements - Sector Performance Data

The Climate Change Agreements (Administration) Regulations 2012 require the administrator to publish a report setting out the energy efficiency improvements and emissions reductions achieved by participants.
Climate Change Agreements (CCAs) are voluntary agreements that set targets on operators to improve their energy efficiency and/or reduce carbon dioxide emissions. The CCA scheme runs from 1 April 2013 to 31 March 2025.  Eligibility to participate in the scheme requires operators to carry out one or more listed ‘eligible activities’. Operators that enter into and abide by the terms and conditions of their CCA are entitled to claim a discount on the Climate Change Levy (CCL), a tax added to electricity, gas and solid fuel bills by suppliers.  Operators must report their energy consumption, carbon emissions and performance against their target for each of the four biennial target periods between 2013 and 2020.  Operators meeting their target at the end of each target period will be certified as eligible to claim a discount on the CCL.
Participants in the CCA scheme are split across 53 industrial sectors each of which is represented by a trade association or other body.  These trade associations manage the submissions from operators carrying out activities which fall within their sector.  Each sector holds an umbrella agreement, setting out the improvement targets for each of the four biennial target periods.  Sub-sectors may be set up as a practical means of partitioning target units (operators), which either carry out similar activities or have similar target types.
This data set contains the performance results for each of the sectors participating in the Climate Change Agreements (CCA) scheme.  The data should be read in combination with the previous biennial reports located on GOV.UK. 
Data may not be included for some target units where a case for commercial confidentiality has been accepted. Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.

Tags: CCA, carbon, climate change agreement, energy, energy efficiency, environment, industry
Organization: Environment Agency
Classification - 2008 River Cycle 1 phytobenthos water body level with confidence of class

Survey results from 2007 showing the health of phytobenthos (algae that grows on rocks on the river bed, also known as diatoms) expressed against the Water Framework Directive status classes. This is for a national selection of English rivers. The dataset also contains statistical information on the confidence that the results have been correctly assigned to each status class, taking into account normal and naturally occurring errors associated with measuring the environment. The assessment method has since been improved. Attribution statement: © Environment Agency copyright and/or database right 2019. All rights reserved.

Tags: biota, environment, living environment, surface water
Organization: Environment Agency
CSEMP Biology Submissions England 1990-2011

This dataset contains the marine benthic invertebrate data collected between 1990 and 2011 and submitted to the British Oceanographic Data Centre (BODC) as part of the Clean Seas Environment Monitoring Programme (CSEMP). Data is for England only. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: environment, marine biology, marine monitoring
Organization: Environment Agency
Boat registration - Boats registered by year

Dataset from the Navigation Licensing System of boats registered by year on waterways where we are the Navigation Authority - non-tidal Thames, Anglian Waterways and non-tidal Medway. Includes non-personal boat details, for example length, beam, waterway, tariff and registration number. Registration years run from January to December for the Thames and April to March for Anglian Waterways and the Medway. The dataset is a snapshot in time during the registration year, therefore it is not complete - subsequent uploads will update the dataset. Registrations issued at lock sites or by agents may not appear or be incomplete in the dataset - this is due to the paper-based data collection and input method. A new charge scheme introduced from 2022 means tariff descriptions will change from earlier years data. Attribution statement: © Environment Agency copyright and/or database right 2024. All rights reserved.

Tags: boating, inland navigation, inlandWaters, licensing, registration
Organization: Environment Agency
Abstraction Sensitivity Bands - cycle 2

Combined Physical, LIFE & Fish based scores on the combination matrices for rivers and lakes. The final Abstraction Sensitivity Bands (ABSs) define the percentages of natural flow that can be taken from rivers at low flows (a flow percentile specifically known as Q95). Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

Tags: environment, surface water, water resources, water resources management
Organization: Environment Agency
2nd cycle measures not linked to 2021 element outcomes v2

This dataset contains measures not linked to 2021 element outcomes, produced to support the cycle 2 river basin management plans. It contains English river basin districts and the cross border Severn.  The spreadsheet contains a summary of measures that will achieve additional environmental outcomes for 2021.  The additional environmental outcomes from these measures are described in section 2.8 of Part 1 of the river basin management plan.  
The measures listed here are not linked to element outcomes in specific water bodies because there is not enough confidence (in location or scale of improvement or both) to predict specific outcomes. Attribution statement: © Environment Agency copyright and/or database right 2015. All rights reserved.

Tags: environment, water quality, water resource
Organization: Environment Agency
Infants, children, and young people with life-limiting conditions  Learning from child death reviews on palliative  and end of life care provision

This NCMD thematic report aims to analyse deaths of infants, children, and young people with life-limiting conditions and palliative and end of life care needs. It presents national findings on children with life-limiting conditions and analysis on the learning from the child death reviews on service provision. The report makes recommendations for improvements in commissioning services, access to medicines and professional training.

Organization: Healthcare Quality Improvement Partnership
Modelled fluvial flood depth and climate change depth difference data created 2004: 1  percent annual chance for grid reference  TV

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in peak flows of 20%). 
Modelled fluvial flood depth and climate change depth difference data* was created for both the 1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the generalised modelling project was to fill the gaps where there was no detailed local modelled data in 2004, in order to define the extents of Flood Zones for spatial planning.
A two-dimensional hydrodynamic model called JFlow was used to produce both the modelled fluvial flood depth and modelled fluvial flood depth with climate change data. This depth difference data, using these 2 datasets, is provided on a 5x5m grid.
Since 2004, some local detailed modelling projects have included scenarios for climate change however this depth difference dataset has not been updated.
INFORMATION WARNING: This data is not suitable for identifying whether an individual property will flood due to climate change, for detailed decision making or for use in site specific Flood Risk or Strategic Flood Risk Assessments. Where this data is used further evidence, verification and studies should be undertaken. Climate change allowances have changed since this work was completed in 2004.
More recent, accurate and local detailed modelling depth data with climate change is available for some places. Please contact your local Environment Agency office to see if detailed modelling is available for your area of interest. 
This metadata record is for Approval for Access product AfA480 2004 1 in 100 Fluvial Depth Grid Climate Change Difference
Modelled fluvial flood depth data with climate change are available for the whole of England, however this data is for the 100x100km squared Ordnance Survey National Grid reference   TV. If you are interested in data for another grid reference refer to this Ordnance Survey National Grid document to find the relevant referencing code and search on Data.gov.uk again to download the data. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved. Some features of this information are based on digital spatial data licensed from the Centre for Ecology & Hydrology © NERC (CEH). Defra, Met Office and DARD Rivers Agency © Crown Copyright. © Cranfield University. © James Hutton Institute.  Contains OS data © Crown copyright and database right 2015. Land & Property Services © Crown copyright and database right.

Tags: environment, flood, flooding, risk assessment
Organization: Environment Agency
Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1  percent annual chance for grid reference SJ

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in peak flows of 20%). 

Modelled fluvial flood depth and climate change depth difference data* was created for both the 0.1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the generalised modelling project was to fill the gaps where there was no detailed local modelled data in 2004, in order to define the extents of Flood Zones for spatial planning.

A two-dimensional hydrodynamic model called JFlow was used to produce both the modelled fluvial flood depth and modelled fluvial flood depth with climate change data. This depth difference data, using these 2 datasets, is provided on a 5x5m grid.

Since 2004, some local detailed modelling projects have included scenarios for climate change however this depth difference dataset has not been updated.

INFORMATION WARNING: This data is not suitable for identifying whether an individual property will flood due to climate change, for detailed decision making or for use in site specific Flood Risk or Strategic Flood Risk Assessments. Where this data is used further evidence, verification and studies should be undertaken. Climate change allowances have changed since this work was completed in 2004.

More recent, accurate and local detailed modelling depth data with climate change is available for some places. Please contact your local Environment Agency office to see if detailed modelling is available for your area of interest. 

This metadata record is for Approval for Access product AfA480 2004 1 in 1000 Fluvial Depth Grid Climate Change Difference

Modelled fluvial flood depth data with climate change are available for the whole of England, however this data is for the 100x100km squared Ordnance Survey National Grid reference SJ. If you are interested in data for another grid reference refer to this Ordnance Survey National Grid document to find the relevant referencing code and search on Data.gov.uk again to download the data. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved. Some features of this information are based on digital spatial data licensed from the Centre for Ecology & Hydrology © NERC (CEH). Defra, Met Office and DARD Rivers Agency © Crown Copyright. © Cranfield University. © James Hutton Institute.  Contains OS data © Crown copyright and database right 2015. Land & Property Services © Crown copyright and database right.

Tags: environment, flood, flooding, risk assessment
Organization: Environment Agency
Base of Lava Flow

<div style='text-align:Left; font-size:12pt;'><p>The Geological Survey of Northern Ireland (GSNI) was commissioned to produce a Northern Ireland wide coastal geological dataset, detailing the bedrock geology.</p><div style='text-align:Left; font-size:12pt;'><p>GSNI used the 1;10,000 digital bedrock geology map to create a coastal dataset which extends inland 200 meters and out to a seaward depth of approx. 10 metres, matching the extend of the Northern Ireland 3-Dimensional Coastal Survey. This involved refinement of the existing 1;10,000 map where signification coastal change has occurred since the original survey. Where gaps existed, unpublished datasets were used.</p><div style='text-align:Left; font-size:12pt;'></div></div></div>

Tags: 3D, Bedrock, Coastal, Geology, Ireland, Marine, Northern, Observatory, Survey
Organization: OpenDataNI
2009 Ortho OSNI

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
River Water Quality Monitoring 1990 to 2018 - Dissolved Copper

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This table provides the raw data from river monitoring sites including Water Framework Directive monitoring sites. It should be noted that, as the data set is in its raw state, it cannot be used to provide a status without processing. The data set does not show Limits of Detection or Limit of Quantitation which would require a value to be treated as a half value for WFD calculation. In addition both altitude and alkalinity affect status calculations for some parameters. The data set may contain results which are erroneous due to typos, sampling error or contamination, such data points are usually several orders or magnitude above expected values.</SPAN></P><P><SPAN>This is the first in a series of water data sets being made available as Open Data. Other data sets remain available on request via waterinfo@daera-ni.gov.uk</SPAN></P><P><SPAN>The European Water Framework Directive (2000/60/EC) has been transposed into Northern Ireland regulations through The Water Environment (Water Framework Directive) Regulations (Northern Ireland) 2017. The Water (Amendment) (Northern Ireland) (EU Exit) Regulations 2019 ensures that the Water Framework Directive (WFD) (as transposed) and the various supporting pieces of water legislation continue to operate here after 1 January 2021. The regulation encourage the active involvement of interested parties and the general public.</SPAN></P><P><SPAN>The regulations set out the requirement to achieve 'Good Ecological Status' and 'Good Chemical Status' for all ground and surface waters (rivers, lakes, transitional waters, and coastal waters) within Northern Ireland.</SPAN></P><P><SPAN>Surface waters are assessed according to the following criteria:</SPAN></P><UL><LI><P><SPAN>Biological quality (fish, invertebrates, flora)</SPAN></P></LI><LI><P><SPAN>Hydromorphological</SPAN></P></LI><LI><P><SPAN>Physico-chemical properties like temperature, oxygenation and nutrient conditions.</SPAN></P></LI><LI><P><SPAN>Chemical quality assessed against environmental quality standards for specific pollutants and priority substances.</SPAN></P></LI></UL><P><SPAN>The following physio-chemical and chemical parameters are included in the data set:</SPAN></P><UL><LI><P><SPAN>CUSOL1(mg/l)- Copper Dissolved</SPAN></P></LI><LI><P><SPAN>CUSOL2(ug/l)- Copper Dissolved</SPAN></P></LI></UL></DIV></DIV></DIV>

Tags: DAERA, Lakes, Monitoring Sites, NIEA, Northern Ireland, Protected Areas, Rivers, Science, Surface waters, WFD, Water, Water Framework Directive, Water Quality
Organization: OpenDataNI
Owenkillew Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>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 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: High Network Contribution, NI, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity, UK, United Kingdom
Organization: OpenDataNI