AndreaBozzo/ceres-open-data-index huggingface dataset:
LIDAR Composite First Return Digital Surface Model (FZ_DSM) - 2m

The LIDAR Composite First Return DSM (Digital Surface Model) is a raster elevation model covering ~99% of England at 2m spatial resolution. The first return DSM is produced from the first or only laser pulse returned to the sensor and includes heights of objects, such as vehicles, buildings and vegetation, as well as the terrain surface where the first or only return was the ground.

Produced by the Environment Agency in 2022, the first return DSM is derived from data captured as part of our national LIDAR programme between 11 November 2016 and 5th May 2022. This programme divided England into ~300 blocks for survey over continuous winters from 2016 onwards. These surveys are merged together to create the first return LIDAR composite using a feathering technique along the overlaps to remove any small differences in elevation between surveys. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The first return DSM will not match in coverage or extent of the LIDAR composite last return digital surface model (LZ_DSM) as the last return DSM composite is produced from both the national LIDAR programme and Timeseries surveys.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
LIDAR Composite Digital Terrain Model (DTM) 2m

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 2m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
Mill Road Project: Traffic Sensor Data

<p>The Mill Road Sensor Project which monitored the eight week closure of the Mill Road bridge by Govia Thameslink to carry out crucial work to improve rail services in 2019 has now completed.</p>
<p>15 smart sensors were installed on Mill Road and surrounding streets to record numbers of pedestrians, bicycles, cars and other vehicles using the network in this area. During the works, access to motorised traffic was not permitted however pedestrians and cyclists were still able to cross the railway for most of the working time. The data collated and analysed by the Smart Cambridge programme has helped the Greater Cambridge Partnership understand how people use the road network and allowed engineers to see the impact of the closure on surrounding roads, including on air quality (Air quality work was completed by Cambridge City Council and information on this can be found on their website <a href="https://www.cambridge.gov.uk/air-quality">here</a>). Final reports on the learnings from the project, which completed in December 2020, can be found on the Smart Cambridge website <a href="https://www.connectingcambridgeshire.co.uk/wp-content/uploads/2021/02/Mill-Road-Bridge-Closure-2019-Sensor-Report_FINAL.pdf">here</a>. Data captured by the 15 sensors used during this trial can be found on this page for the period up to and including December 2020. Keeping the sensors in place for this long has also allowed teams to make greater comparisons, by taking in to account daily, weekly, monthly and annual variations in traffic levels.</p>
<p><strong>The below data release offers counts for each sensor over 1 hour periods. The current data covers the period 03/06/2019 to 13/12/2020.</strong></p>
<p><strong>Hourly counts are broken down by inbound and outbound journeys. .</strong></p>
<p><strong>Counts are also broken down by vehicle type. This includes:</strong></p>
<ul><li><strong>Pedestrians</strong></li>
<li><strong>Cyclists</strong></li>
<li><strong>Buses</strong></li>
<li><strong>LGV</strong></li>
<li><strong>OGV 1</strong></li>
<li><strong>OGV 2</strong></li>
</ul><p><strong>The release also includes a full list of sensor sites with geographic point location data.</strong></p>
<p>Data collected by the sensors from 1<sup>st</sup> January 2021 can be found <a href="https://data.cambridgeshireinsight.org.uk/dataset/cambridge-city-smart-sensor-traffic-counts">here</a> and will be updated on a quarterly basis. The Mill Road Project demonstrated the level of insight that can be gained from these sensors, leading to additional sensors in more locations being installed in Cambridge since the summer of 2019. Therefore the data on this page includes both the sensors originally installed for the Mill Road Project and additional sensors deployed at later dates.</p>


Tags: Traffic, transport
Organization: Cambridgeshire Insight
LIDAR Composite Digital Terrain Model (DTM) 10m

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 10m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

The digital terrain model has been resampled to 10 metres from the LIDAR Composite DTM 2m dataset using a bilinear interpolation technique.

Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as a single GeoTiff raster aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
LIDAR Composite Digital Terrain Model (DTM) - 1m

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE.  Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
LIDAR Composite Digital Surface Model (DSM) - 2m

The LIDAR Composite DSM (Digital Surface Model) is a raster elevation model covering ~99% of England at 2m spatial resolution. The DSM (Digital Surface Model) is produced from the last or only laser pulse returned to the sensor and includes heights of objects, such as vehicles, buildings and vegetation, as well as the terrain surface  

Produced by the Environment Agency in 2022, the DSM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
LIDAR Composite Digital Surface Model (DSM) - 1m

The LIDAR Composite DSM (Digital Surface Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DSM (Digital Surface Model) is produced from the last or only laser pulse returned to the sensor and includes heights of objects, such as vehicles, buildings and vegetation, as well as the terrain surface  

Produced by the Environment Agency in 2022, the DSM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalogue which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Elevation, LIDAR, elevation, environment, remote sensing, survey
Organization: Environment Agency
Cambridge City Parking Data

<p data-pm-slice="1 1 []">Car Parking data for Cambridge City is available from October 2018 to September 2019. Where possible, the data has been formatted using entry entries and exits, duration and time &amp; date. The spreadsheets  are available in six month increments, from Oct-18 -Mar-19, and Apr-19-Sept-19.</p>
<p>This dataset has been broadened to provide length of stay analysis and total car park usage (from April 2015 onwards). <a href="https://data.cambridgeshireinsight.org.uk/dataset/cambridge-city-car-park-usage-data-length-stay">Please follow this link to access the larger dataset.</a></p>
<p>The data is available as CSV files</p>


Tags: Traffic, parking
Organization: Cambridgeshire Insight
Indicative Flood Risk Areas pdf views

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

Set of pdf map views of Indicative Flood Risk Areas.  This information is  created by the Environment Agency for use by LLFAs in England in their review during 2017 of Preliminary Flood Risk Assessments and Flood Risk Areas under the Flood Risk Regulations

This dataset represents outputs from the dataset Indicative Flood Risk Areas (shapefiles) Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.
Contains public sector information licensed under the Open Government Licence

Tags: Indicative Flood Risk Areas, environment, flood
Organization: Environment Agency
Indicative Flood Risk Areas (shapefiles)

PLEASE NOTE: this dataset has been retired. It has been superseded by data for Flood Risk Areas: https://environment.data.gov.uk/dataset/f3d63ec5-a21a-49fb-803a-0fa0fb7238b6

Set of shapefiles defining Indicative Flood Risk Areas for local risk.  Indicative Flood Risk Areas are provided by the Environment Agency for use by Lead Local Flood Authorities in England in their review during 2017 of Preliminary Flood Risk Assessments and Flood Risk Areas under the Flood Risk Regulations.

The Indicative Flood Risk Areas are primarily based on an aggregated 1km square grid Updated Flood Map for Surface Water (1 in 100 and 1000 annual probability rainfall), informally referred to as the “blue square map”. These are 1km grids across England and consist of the following data layers:

•	Surface Water Flood Risk Exposure Grid – 1km square grid that shows places above the flood risk threshold defined, using the 1 in 100 and 1000 annual probability (deep) Flood Map for Surface Water.
•	Flood risk thresholds used to generate the “blue Squares”:
-	Number of people > 200
-	Number of critical services, including electricity and water > 1
-	Number of non-residential properties > 20 
•	Cluster Maps – are aggregations of 3km by 3km squares that each contain at least 5 touching "blue squares" (i.e. 1km grid squares where one of the thresholds above is exceeded)
•	Communities at Risk by Lead Local Flooding Authority
•	People Sensitivity Map by Lead Local Flood Authority. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.
Contains public sector information licensed under the Open Government Licence

Tags: Indicative Flood Risk Area, environment, flood
Organization: Environment Agency
Flood Map for Planning (Rivers and Sea) - Flood Zone 3

PLEASE NOTE: This dataset has been retired. It has been superseded by https://environment.data.gov.uk/dataset/04532375-a198-476e-985e-0579a0a11b47. Links to this data will be removed after April 2025. We encourage users to download this Flood Zones dataset if you would like to retain a comparison ability beyond this date.

The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Flood Zone 3. It is our best estimate of the areas of land at risk of flooding, when the presence of flood defences are ignored and covers land with a 1 in 100 (1%) or greater chance of flooding each year from Rivers; or with a 1 in 200 (0.5%) or greater chance of flooding each year from the Sea.
 
This dataset is designed to support flood risk assessments in line with Planning Practice Guidance; and raise awareness of the likelihood of flooding to encourage people living and working in areas prone to flooding to find out more and take appropriate action.

The information provided is largely based on modelled data and is therefore indicative rather than specific.

Locations may also be at risk from other sources of flooding, such as high groundwater levels, overland run off from heavy rain, or failure of infrastructure such as sewers and storm drains.

The information indicates the flood risk to areas of land and is not sufficiently detailed to show whether an individual property is at risk of flooding, therefore properties may not always face the same chance of flooding as the areas that surround them. This is because we do not hold details about properties and their floor levels.

Information on flood depth, speed or volume of flow is not included. Attribution statement: © Environment Agency copyright and/or database right 2023. All rights reserved.

Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, © NERC (CEH)

Tags: Flood Map for Planning, Flood Zones, environment, flood, flood protection, flooding, imageryBaseMapsEarthCover, inlandWaters, location, risk management
Organization: Environment Agency
Flood Map for Planning (Rivers and Sea) - Flood Zone 2

PLEASE NOTE: This dataset has been retired. It has been superseded by https://environment.data.gov.uk/dataset/04532375-a198-476e-985e-0579a0a11b47. Links to this data will be removed after April 2025. We encourage users to download this Flood Zones dataset if you would like to retain a comparison ability beyond this date.

The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Flood Zone 2 and should not be used without Flood Zone 3. It is our best estimate of the areas of land at risk of flooding, when the presence of flood defences are ignored and covers land between Zone 3 and the extent of the flooding from rivers or the sea with a 1 in 1000 (0.1%) chance of flooding each year. This dataset also includes those areas defined in Flood Zone 3. 

This dataset is designed to support flood risk assessments in line with Planning Practice Guidance ; and raise awareness of the likelihood of flooding to encourage people living and working in areas prone to flooding to find out more and take appropriate action.

The information provided is largely based on modelled data and is therefore indicative rather than specific. Locations may also be at risk from other sources of flooding, such as high groundwater levels, overland run off from heavy rain, or failure of infrastructure such as sewers and storm drains.

The information indicates the flood risk to areas of land and is not sufficiently detailed to show whether an individual property is at risk of flooding, therefore properties may not always face the same chance of flooding as the areas that surround them. This is because we do not hold details about properties and their floor levels.
Information on flood depth, speed or volume of flow is not included. Attribution statement: © Environment Agency copyright and/or database right 2023. All rights reserved.

Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, © NERC (CEH).

© Crown Copyright and Database Rights 2023 OS AC0000807064.

Tags: Flood Map for Planning, Flood Zones, environment, flood, flood protection, flooding, imageryBaseMapsEarthCover, inlandWaters, risk management
Organization: Environment Agency
Risk of Flooding from Rivers and Sea

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/96ab4342-82c1-4095-87f1-0082e8d84ef1
This record is for Approval for Access product AfA379. Previously known as NaFRA Spatial Flood Likelihood Category Grid (Internal).  This is a national assessment of flood risk for England produced using local expertise. 

The dataset shows the chance of flooding from rivers and/or the sea, based on cells of 50m. Each cell is allocated one of four flood risk categories, taking into account flood defences and their condition. No more detailed resolution is provided. Attribution statement: © Environment Agency Copyright and/or Database Rights 2023. All rights reserved.

Tags: Risk of Flooding from Rivers and Sea, environment, flooding, inlandWaters, planningCadastre, risk assessment
Organization: Environment Agency
Environmental Permitting Regulations - Radioactive Substances - Public Register Online

This dataset comprises basic details of Environmental Permitting Regulations Radioactive Substances Regulation permits that are placed on the public register.

The Environmental Permitting Regulations 2016 (as amended) regulates the keeping and use of radioactive materials, and the disposal and accumulation of radioactive waste. Any person who keeps or uses radioactive material must hold a permit or operate under a relevant exemption. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: economy, environment, radioactive substance
Organization: Environment Agency