AndreaBozzo/ceres-open-data-index huggingface dataset:
Locations of still images with habitat characterisation from Bassurelle Sandbank SCI

Locations of still images with habitat characterisation from Bassurelle Sandbank SCI  (CEND 03/13). ArcGIS point feature class. Still imageswere collected during the following survey: Bassurelle Sandbank SCI survey on research vessel Cefas Endeavour, cruise code CEND0313 between 29/03/2013 and 31/03/2013.
In total, 511 still images were collected. A camera sledge was deployed from the stern of Cefas Endeavour to capture the images.The position reference point for coordinates was the stern gantry. Camerasledge deployments lasted a minimum of 10 minutes, with the vessel executing a controlled drift at ~ 0.5 knots (~0.25 ms?1) across a 50 m �bullring� centred on the sampling station. Still images were captured at regular one minute intervals and opportunistically if specific features of interest were encountered.

Tags: Bassurelle Sandbank SAC, CEND0313, Marine, Offshore Seabed Survey, Processed, RV Cefas Endeavour
Organization: Joint Nature Conservation Committee
Broadscale habitat confidence for Bassurelle Sandbank SCI

Broadscale habitat confidence for Bassurelle Sandbank SCI  (CEND 03/13). MESH confidence score for the newly produced habitat map of Bassurelle Sandbank SCI. The technical quality of the habitat map was assessed using the MESH �Confidence Assessment? Tool, originally developed by an international consortium of marine scientists working on the MESH (Mapping European Seabed Habitats) project. This tool considers the provenance of the data used to make a biotope/habitat map, including the techniques and technology used to characterise the physical and biological environment and the expertise of the people who had made the map. Both physical and biological survey data are required to achieve the top mark of 100, but as the current assessment process requiredthe mapping of only physical habitats, not biotopes, it excludedbiological data. In the absence of biological data, the maximum score attainable for a perfect physical map is 82. This map attained a score of 79. In applying the tool to the current work, none of the weighting options were altered; that is, the tool was applied in its standard form, as downloaded from the internet. (http://www.searchmesh.net/default.aspx?page=1635).

Tags: Bassurelle Sandbank SAC, CEND0313, Marine, Offshore Seabed Survey, Processed, RV Cefas Endeavour
Organization: Joint Nature Conservation Committee
Average road fuel sales, deliveries and stock levels

Official statistics in development based on average road fuel sales, deliveries and stock levels at sampled filling stations in the United Kingdom. Data for the previous week ending Sunday will be added to the series when published.

Data published every Thursday from 28 May 2020 to the end of August 2020 in the first instance, and then monthly until mid November 2020. Weekly data reporting reinstated from mid November 2020. Monthly data reporting reinstated from August 2021. Weekly data reporting reinstated from October 2021 in response to road fuel shortages and subsequent Russian invasion of Ukraine. Monthly data reporting reinstated from August 2022. Quarterly data reporting commenced from July 2024.

Organization: Department for Energy Security and Net Zero
RICT - Location Checker for Model 44 Input Variables

A database of environmental input parameters for River Invertebrate Prediction and Classification System (RIVPACS Model 44) implemented in a new version of the River Invertebrate Classification Tool (RICT). 

The model predicts the invertebrate biological communities (species composition, abundance and value of biotic indices) at any site if its environmental quality was minimally impacted by people.

The database contains abiotic environmental parameters from geographical information systems for the river network of Great Britain on a 50 m grid based on the UK Centre for Ecology and Hydrology (CEH) Intelligent River Network. It includes the start and end location of the river segment on the Intelligent River Network on a 50m grid so that users can identify the river segment for which they want data.

The data is delivered to users from an online GIS system that allows users to select a location by Ordnance Survey grid reference, select an area and extract data for a 50m² grid, plus a larger polygon covering the 50m grids around the one selected.

For user documentation and guidance please see the link to RICT user documentation in the data resources  available below. Attribution statement: Use of this data is subject to the licence attached. © Environment Agency copyright and/or database right 2020. All rights reserved.

Third party IP: 
- CEH (IHDTM Flow Grid; IHDTM Cumulative Catchment Area grid; 1:50,000 Watercourses data; Grid2Grid mean annual discharge 1km grid & Grid2Grid cumulative catchment area 1km grid)
- OS (Landform-PANORAMA)
- BGS (DiGMapGB-625: Bedrock geology & Superficial theme)

Tags: RICT, environment
Organization: Environment Agency
Water Quality Explorer

The Water Quality Explorer provides access to the Environment Agency’s water quality data collected from tens of thousands of sampling points across England. The dataset covers all major water body types, including rivers, lakes, ponds, canals, groundwater, and coastal and estuarine waters, and includes over 72 million observations derived from over 5 million samples collected since the year 2000.  

These observations include both field measurements taken in situ at sampling locations and a wide range of laboratory‑analysed parameters assessed in the Environment Agency’s laboratories. Once samples have been analysed, the results are processed and verified before being added to the archive, meaning there is a short delay between a sample being taken and the corresponding data becoming available.  
 
The dataset spans a broad suite of determinand groups, including: Physical parameters (such as temperature, pH, conductivity, turbidity, and salinity in coastal or estuarine waters), nutrients and general water chemistry (including nitrate, ammoniacal nitrogen, and dissolved oxygen), metals (such as iron, zinc, copper, nickel, and lead), organic, inorganic and emerging contaminants (including hydrocarbons, pesticides, and PFAS), and sediment characteristics (including grain size fractions and related particle size metrics).  
 
Data disclaimer and limitations:
This dataset is updated within two working days of a new sample being added. A monthly refresh is also carried out, which may include updates or corrections supplied through routine quality assurance processes.

The information shown in the Water Quality Explorer mirrors the data contained within our archives. As quality assurance work is carried out, datasets may be updated, corrected or refined over time, so the data available through the Explorer may change.

Not all datasets within the Water Quality Explorer are complete or used for regulatory purposes. Some records may have gaps due to sampling, operational or environmental factors.

The Explorer does not validate or interpret the underlying data; it simply provides access to the records supplied.
 Attribution statement: © Environment Agency copyright and/or database right 2025. All rights reserved. 

Tags:  water quality, environment, samples, water quality
Organization: Environment Agency
Consented Discharges to Controlled Waters with Conditions

These data provide details of all permit details as required under the Environmental Permit Regulation. Information is held for all permit holders and covers all substances that are controlled. These data are a taken from the Environment Agency’s Public Register and contains three tiers of data for all active permits. 
Tier 1 – Site and General
Information on the  consent holder that has a consent to discharge into controlled waters. Consent holder and the discharge address and type. nb The date of permit issue, effective and revocation. Information where the effluent enters the environment (such as sewage disposal works) for each holder that has been granted a permit. Data is also held on the effluent type e.g. Sewage effluent, Overflow. The location of the grid reference is supplied for the effluent and the outlet location in OS Nation Grid Reference format.
 Tier 2 – Effluent
 Further detail is provided on the amount that can be discharged and in which time period in months. This is stored as Dry Weather Flow, Maximum Daily, Mean, Maximum Rate. Further data about the permit type and treatment type from lookup lists are provided. 
Tier 3 – Determinand Limits 
Determinands are the substances and numerical limits that make up the effluent. This could include chemical, biological, and physical limits. Textual conditions are not included. The permitted limits are included for each determinand type. Data is provided for each effluent and may contain one or more determinands depending on the complexity of the discharge.

IMPORTANT: Data links below provide access to: 
•	a data extract taken quarterly (Consented Discharges to Controlled waters with conditions - quarterly extract) and
•	Discharges to Water and Groundwater Public Registers Online, where you can view the complete dataset - updated daily. Attribution statement: © Environment Agency copyright and/or database right 2022. All rights reserved.

Tags: Outlet, Overflow, Overflow Outlet, environment, inlandWaters, sewage, water quality
Organization: Environment Agency
Tariffs to trade with the UK from 1 January 2021

__This page has been replaced with a newer page offering CSV and ODS versions of the tariff datasets__
[The new page is Tariffs to trade with the UK from 1st January 2021](https://www.data.gov.uk/dataset/2af878bc-f302-49fd-98ef-9d1f4a63a318/tariffs-to-trade-with-the-uk-from-1-january-2021)

This dataset shows current UK import tariffs and historic versions applied since 1 January 2021.

It lists preferential measures where the UK has entered into a new trade agreement or arrangement with a third country or territory. For other countries and territories, it shows the UK's Most Favoured Nation (MFN) tariffs. 

The dataset does not include other import duties (such as VAT) and details of quota volumes.

# Notes on use

For guidance on the content of the data and how to interpret it, see the [Tariff Data Manual](https://github.com/uktrade/tariff-data-manual).

There are 4 datasets available, which show the same underlying data in two formats:

## Full Tariff

This table shows all duties and commodities being applied to the UK Tariff.

## Measures on declarable commodities

This is series of tables separated into sections that show the measures that apply to all declarable commodity codes.

These are 10-digit codes, which are at the lowest level in the commodity code hierarchy (as in they do not have any commodity codes below them in the hierarchy) This means they are at the most granular classification for that product.

Any codes in these tables are usable on declarations at the rates specified.

You can find which section you need on the [UK Integrated Online Tariff](https://www.trade-tariff.service.gov.uk/browse).

## Measures as defined

This is a smaller table showing where in the commodity code hierarchy each measure is defined. This includes commodity codes which are not declarable.

Codes are organised in a hierarchy, with the 'indent' column identifying the depth of the code.

Measures apply to all of the codes in the hierarchy below where they are defined.

## Commodities

This table shows all the commodity codes used in the Tariff. It includes:

* Specific IDs (SIDs)
* Codes and parent codes
* Code descriptions for the type of commodity
* Validity start and end dates

# Accuracy

Every effort has been made to ensure the tariff information in this dataset is correct. At times, tariffs in this dataset are a representation of future events and as such are subject to change.

Organization: Department for Business and Trade
Woodland Carbon Code Projects

The Woodland Carbon Code (www.woodlandcarboncode.org.uk) is the standard for UK woodland creation projects where carbon is accounted for. It is managed by the Forestry Commission.  All projects have to register, and are publicly available on the UK Woodland Carbon Registry, managed by Markit (www.woodlandcarboncode.org.uk/uk-land-carbon-registry).  Once registered, they are validated at the outset and then verified at regular intervals throughout the project to check the amount of carbon sequestered, and that the project is sustainably managed.

Woodland Carbon Code projects are expected to be managed in line with their agreed management plan (to ensure the predicted amount of carbon sequestration is realised), and a landowner has the responsibility to ensure future landowners are aware of the commitment of a particular land area to the Woodland Carbon Code, should an area of woodland be sold.

This dataset gives the spatial extent of the Woodland Carbon Code projects, along with their current status, species type, and country.  The majority of projects also receive a woodland creation grant, but some Woodland Carbon Code projects also include non-grant aided areas, or are not grant aided at all.

Woodland Carbon Code statistics are produced quarterly on the last day of March, June, September and December and available from www.woodlandcarboncode.org.uk/uk-land-carbon-registry.

This layer will be updated each quarter alongside the statistics update.

Tags: Carbon, Environment, Felling, Forest Management, Land use, Landscape, New Woodland, Ownership, Planning, Woodland, Woodland Creation
Organization: Scottish Government SpatialData.gov.scot
Sentinel Stroke National Audit Programme Clinical results 25/26

The clinical component of SSNAP prospectively collects a minimum dataset for every stroke patient since December 2012 to measure processes of acute care, rehabilitation and care in the community. SSNAP also collects outcome measures at 6 months. The aim is to improve the quality of stroke care by auditing stroke services against evidence based standards.

The latest SSNAP periodic report presents national and named team results for the entire inpatient stroke care pathway. It is based on patients admitted or discharged from hospital in the most recent 3-monthly time period.

This report contains results for important measures of inpatient stroke care including stroke unit care, thrombolysis, therapy assessments and intensity, timings of interventions, and discharge standards. It also provides comparisons where appropriate against the previous 4 periodic reports to show changes over time.

A SSNAP scoring system has been derived to enable hospitals to compare their performance against other hospitals and benchmark against the national result. This summary of performance is based upon results for 40 key indicators which are grouped into 7 domains covering key aspects of stroke care. An overall score is calculated from domain scores adjusted for case ascertainment and audit compliance. Please see technical guidance for details about how the SSNAP scores are calculated.

Extremely high standards have been set with the aim of stimulating hospitals to identify where improvements are needed and drive change. Nowhere else in the world has set as stringent standards and the results should be read in this context.

Full Results Portfolio: This is a very detailed file containing results for every stroke measure collected by SSNAP. It is intended as a reference document for those who wish to drill-down in more detail than the summary results.

Organization: Healthcare Quality Improvement Partnership
LNRS Mapped Measures

This spatial data displays the mapped measures identified for the Local Nature Recovery Strategy (LNRS).
It brings together many of the Areas of Particular Importance to Biodiversity (APIB's) and highlights the Areas that Could become of importance to Biodiversity (ACBs), which together form a connected network where targeted action can deliver “bigger, better, and more joined-up” habitats across Wiltshire. These areas represent locations where the responsible authority and local partners propose concentrating specific measures or actions to restore habitats and achieve the greatest benefits for biodiversity and the wider environment.
 
This is the foremost layer on the interactive map and includes links to webpages that outline recommended actions and desired outcomes for habitat maintenance and restoration.

To view and download this data, please visit our Open Data Hub.https://wiltshire-council-open-data-hub-wiltscouncil.hub.arcgis.com/datasets/WiltsCouncil::lnrs/about?layer=20

Organization: Wiltshire Council
Wiltshire Council - LNRS Areas of Particular Importance to Biodiversity (APIB)

Areas of Particular Importance for Biodiversity (ABIP) is a required mapping layer for the LNRS. It includes national conservation sites, local nature reserves, county wildlife sites, and irreplaceable habitats as defined by the Biodiversity Gain Requirements (Irreplaceable Habitat) Regulations 2024.

To view and download this data, please visit our Open Data Hub. https://wiltshire-council-open-data-hub-wiltscouncil.hub.arcgis.com/datasets/WiltsCouncil::lnrs/about?layer=19

Organization: Wiltshire Council
Wiltshire Council - LNRS Areas that Could Become (ACB)

Part of the Local Nature Recovery Strategy this dataset shows Areas that Could Become of Particular Importance to Biodiversity. 

They are where the responsible authority and local partners propose that effort should be concentrated to restore habitat, to achieve the most for biodiversity and the wider environment.

This dataset identifies and maps locations within the strategy area that could become of particular importance for biodiversity or where biodiversity recovery or enhancement could contribute significantly to other environmental benefits. These areas are proposed based on the alignment of local biodiversity priorities and potential measures outlined in the LNRS.

To view and download this data, please visit our Open Data Hub. https://wiltshire-council-open-data-hub-wiltscouncil.hub.arcgis.com/datasets/WiltsCouncil::lnrs/about?layer=18

Organization: Wiltshire Council
Geophysical datasets collected during RRS James Cook cruise JC228, Guatemala basin (2022-2023)

A collection of geophysical datasets acquired during RRS James Cook expedition JC228 (December 2022 to January 2023) in the Guatemala Basin region of the North Pacific Ocean. Datasets include a processed bathymetry grid, sub-bottom profile, magnetics, gravity, ocean bottom seismometer (OBS) and multi-channel seismic (MCS) data. The aim was to sample fast-spreading ocean lithosphere of the northern Cocos Plate from its formation to subduction in the Mid-America Trench. MCS data were recorded along a linear transect with grids in three focus areas; two on the passively cooling oceanic plate, the third spanned the transition into the subduction zone. This work aimed to investigate the evolution of oceanic lithosphere as well as provide essential site survey information for two IODP Proposals: the flagship MoHole to Mantle initiative (M2M; IODP-805MDP) and the Bend Fault Serpentinization experiment (approved IODP-876Pre). The work was undertaken by scientists at the University of Southampton, UK, in collaboration with GEOMAR Helmholtz Centre for Ocean Research, Germany, funded as part of NERC grant ‘From Ridge to Trench, MoHole to Bend-Faults’, grant reference NE/M021246/1.

Organization: Marine Environmental Data & Information Network
SHEAR - The impact of the physical environment on the foraging energetics of shearwaters and the consequences for breeding success project dataset

The impact of the physical environment on the foraging energetics of shearwaters and the consequences for breeding success (SHEAR) project from 2022 to 2025 to study manx shearwater (Puffinus puffinus) breeding on two colonies (Bardsey Island and the Calf of Man) within the Irish Sea, to understand the impacts of future climate change. The data collected includes manx shearwater tracking data to study foraging movements. TechnoSmart AxyTrek tags were used to record location (latitude/longitude), tri-axial acceleration, and pressure, which has been converted to depth (in metres). Data were generated by converting files downloaded from the loggers using the tag manufacturer's software. Prey field data were also collectedusing an echosounder. The data collected from this project were funded by the NERC Discovery Science grant NE/W001217/1, awarded to principal investigator Dr Line Cordes at Bangor University.

Organization: Marine Environmental Data & Information Network
Model output containing ocean and sea ice variables from GO6 eORCA1 (1948-2009)

This dataset contains monthly means of ocean and sea ice variables from a 61 year (1948-2009) integration of the GOS6 model configuration at 1degree horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1 degree grid (eORCA1) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under reference NE/N018036/1.

Organization: Marine Environmental Data & Information Network
Model output containing ocean and sea ice variables from GO6 eORCA025 (1948-2009)

This dataset contains monthly and annual means of ocean and sea ice variables from a 61 year (1948-2009) integration of the GOS6 model configuration at 1/4° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1/4° grid (eORCA025) with 75 vertical levels. The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The outputs were generated under the UK Earth System Modelling (UKESM) project funded by the Natural Environment Research Council (NERC) under grant reference NE/N018036/1.

Organization: Marine Environmental Data & Information Network
Woods For All

The dataset Woods for All (WfA) derived from a large range of datasets and data owners, based primarily on the National Forest Inventory England 2022.  Its purpose is to inform internal staff about woodland access provision, particularly when planning or designing woodland creation schemes to link or improve access for people.  See attached file for full description Attribution statement: © Forestry Commission copyright and/or database right 2025. All rights reserved. 

Tags: Access, CROW, England, Footpaths, environment, recreation
Organization: Forestry Commission