AndreaBozzo/ceres-open-data-index huggingface dataset:
Using Novel Sensors on Underwater Autonomous Gliders for Observations of Marine Biogeochemistry in the Mediterranean Sea (NOSUG)

This dataset comprises hydrographic data from novel sensors on underwater autonomous gliders, to be used to characterise the physical, biological and chemical marine environment of the Mediterranean Sea (NOSUG project). Gliders were deployed in the Mediterranean Sea during Spring 2016 at the BOUSSOLE/DyFAMed sites by the University of East Anglia. Variables in the dataset include sea water temperature, salinity, pressure, dissolved oxygen content, chlorophyll concentration, optical backscatter coefficients and pH. The aim was to test two experimental ISFET pH-pCO<sub>2</sub> sensors and to estimate net community production. The data collection was jointly funded by the Defence Science and Technology Laboratory and the University of East Anglia.

Organization: Marine Environmental Data & Information Network
Nitrogen fixation in the Arctic Ocean (N-ARC) Project Datasets (July - August 2023)

This dataset comprises of data from stainless steel and titanium CTD casts and towfish, results of a nutrient addition incubation experiment, and underway meteorological, hydrographic, and navigational data. The CTD casts and towfish were sampled for biogeochemical properties: nitrate + nitrite, silicate, phosphate, nitrite, d18O, dissolved oxygen, chlorophyll-a, particulate carbon, carbon fixation rates and oxygen isotopes. The CTD casts also comprise of downcast sensor profile data and upcast sensor data at time of bottle firing: temperature, salinity, density, dissolved oxygen, optical backscatter, beam transmittance and attenuation, upward photosynthetically active radiation (PAR), and chlorophyll-a fluorescence. The underway sensor data are sea surface hydrography (temperature and salinity), optical (chlorophyll-a fluorescence, transmission) and meteorological (wind speed and direction, air temperature, air pressure, relative humidity PAR, TIR). The nutrient addition experiments were sampled for Nitrate+nitrite, phosphate, silicate, chlorophyll a, and Fv:Fm after addition of nitrate, phosphate, and/or iron chloride. All of the data were collected during cruise DY167 (GEOTRACES cruise GApr19) in July-August 2023 from Southampton up to the Norwegian and Barents Seas and cover the relatively warm Atlantic Water inflow, fresher water on the Spitzbergen Bank, coastal/glacial outflow around Svalbard, and Arctic water around sea ice. These data were collected to better determine how temperature, light, nutrients, and iron control the distribution and activity of nitrogen fixing organisms in the Arctic Ocean. This dataset was generated by the National Oceanography Centre (NOC), the University of Liverpool (UoL), and the University of Southampton, under Natural Environment Research Council (NERC) Discovery Science grant &quot;Nitrogen fixation in the Arctic Ocean&quot;, N-ARC (grant numbers NE/T000570/1 and NE/T001240/1).

Organization: Marine Environmental Data & Information Network
Objectively mapped Argo profiling float data and RAPID moored microcat data from the North Atlantic Ocean, 2004-2022

This is a gridded version of Argo profiling float data from the North Atlantic Ocean and moored MicroCAT CTD data from the RAPID 26N moorings. Data have been reduced to a 1 degree longitude by 1 degree latitude grid using objective mapping. Vertical resolution is 20 decibars; time resolution is 10 days; The data span the years 2004 to 2022. Mapped parameters are in-situ temperature (ITS90) and practical salinity (PSS-78) along with mapping uncertainties in both temperature and salinity. Real-time and delayed mode data with Argo quality flag 1 or 2, and quality controlled RAPID mooring data, were mapped on sigma-1 density surfaces with decorrelation length scale 500 km. Data quality procedures were carried out by the programs that provided the source data. No further data quality control was undertaken prior to mapping. The dataset was created on behalf of the NERC projects ACSIS and CLASS by Brian King of the National Oceanography Centre (NOC). Source datasets for this mapping were: 1) Argo (2023). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) - Snapshot of Argo GDAC of 10 January 2023. SEANOE. http://doi.org/10.17882/42182#98916. 2) Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2020 (v2020.2), British Oceanographic Data Centre - Natural Environment Research Council, UK. doi:10.5285/e91b10af-6f0a-7fa7-e053-6c86abc05a09. The data are held as a CF-compliant netCDF file.

Organization: Marine Environmental Data & Information Network
UK National Databank of glider and ALR data (2015 - )

This dataset of Autonomous Underwater Vehicles, such as Gliders and AutoSub Long-Range (ALR), managed by the British Oceanographic Data Centre (BODC) contains UK-funded worldwide campaigns of gliders since 2015 and ALRs since 2019. Glider and ALR deployments collect pressure, temperature, conductivity, and salinity through CTD sensors. Each platform’s logger records: platform attitude, water velocities, depth (pressure), and engineering variables. Additional sensors collecting: optical backscatter, chlorophyll fluorescence, turbulence microstructure, irradiance, and photosynthetically active radiation (PAR) data are mounted on each platform according to individual project objectives. Measurements are decimated for transmission and sent to BODC via satellite in near-real-time, where data are curated, then delivered in the OG1.0 Community (NetCDF) and raw binary format on ERDDAP for open access projects, in addition to the provision of metadata in JSON format. Near-real-time and recovery (i.e. the data from the SD card upon platform recovery) versions of the data are available. The metadata contain information about project, campaign objectives, funding, event metadata, platform and sensors, and measured parameters and units.

Organization: Marine Environmental Data & Information Network
DESNZ: Senior officials business expenses, hospitality and meetings

The Department for Energy, Security and Net Zero (DESNZ) publishes details of senior officials’ business expenses and hospitality and the permanent secretary’s meetings on a quarterly basis. The data includes permanent secretary's meetings with external organisations. The external meetings data also covers the Government Chief Scientific Adviser as this post is graded at permanent secretary level. 
Previous data was published under BEIS.

Organization: Department for Energy Security and Net Zero
CTD oceanographic data from Whittard Canyon, Bay of Biscay (2009)

This dataset consists of 6 CTD profiles from 6 stations in the Whittard Canyon, collected as part of the HERMONIE (Hotspot Ecosystem Research and Man's Impact on European seas) and OCEANS 2025 projects. These data were collected aboard the RRS James Cook cruise JC036 (Chief Scientist Douglas Masson), which departed Brest, France, on 19 June 2009 and arrived in Southampton, UK, on 28 July 2009. The biological and geological research programme was built around a series of ROV video transects to determine variations in species and community structure and composition in different geological and topographic settings down the canyon. Additional coring, CTD and water column particulate sampling programmes were planned to investigate the recent geological history of the canyon and investigate sediment accumulation in the canyon. Macro and meiofauna were also sampled in areas of soft substrate. The sensors used for the CTD profiles include temperature, conductivity, pressure, oxygen, fluorescence, altitude, irradiance, backscatter, and attenuance. Data were collected using a ship-deployed Sea-Bird 911plus CTD System mounted with the following equipment: Sea-Bird SBE 3plus (SBE 3P) temperature sensors, Sea-Bird SBE 4C conductivity sensors, Paroscientific Digiquartz depth sensor, Sea-Bird SBE 43 Dissolved Oxygen Sensor, Chelsea Technologies Group Aquatracka III fluorometer, Chelsea Technologies Group 2-pi PAR irradiance sensors, WET Labs {Sea-Bird WETLabs} ECO BB(RT)D backscattering sensor and Chelsea Technologies Group Alphatracka II transmissometer. The CTD data were received by the British Oceanographic Data Centre (BODC) having been binned into 2m depth profiles for the downcast. The data have been processed and quality controlled using in-house BODC procedures and are available to download from the BODC website. Funding was provided by the Natural Environment Research Council (NERC).

Organization: Marine Environmental Data & Information Network
CHIMNEY (JC152) geophysical data and rock physics experiments from Scanner Pockmark, North Sea (2017)

As part of the Natural Environment Research Council (NERC) Characterisation of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea (CHIMNEY) project, a broadband seismic anisotropy experiment was undertaken during RRS James Cook cruise JC152, over a subsea chimney structure in the northern North Sea around Scanner Pockmark, August to September 2017. The chimney structure was also drilled for core samples, which were subsequently analysed alongside synthetic rock samples in various on-shore laboratory experiments. Seismic data were acquired using sources including Bolt and GI airguns, and various sparkers. Data were recorded using multi-channel streamers and by a series of ocean bottom seismometers. The drilled rock samples were analysed at the National Oceanography Centre, Southampton (NOCS) Rock Physics Laboratory, and were compared with synthetic rock samples with aligned fractures. Data were quality controlled and processed by the JC152 Science Party. In conjunction with multi-beam bathymetry data acquired on the same cruise, these data enabled scientists to understand the surface and internal structure and origin of the chimney structure. This facilitated estimation of the permeability of the chimney and its surroundings, and enabled leakage pathways to be determined. The potential for past oil and gas reservoirs and saline aquifers to be used as Carbon Capture and Storage (CCS) reservoirs of atmospheric CO2 were subsequently explored. The safety of storing CO2 in such reservoirs is dependent on fully exploring the risks of any leakage from such chimney structures. CHIMNEY was funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1, and involved scientists from the National Oceanography Centre, Southampton and the University of Edinburgh. Investigators worked closely with project partners at GEOMAR, Lawrence Berkley National Laboratory, CGG SA  and Applied Acoustics  Engineering Technologies Ltd . The project was complementary to the EU-funded Horizon 2020 project: Strategies for Environmental Monitoring of Marine Carbon Capture and Storage (STEMM-CCS).

Organization: Marine Environmental Data & Information Network
RAPID: monitoring the Atlantic Meridional Overturning Circulation at 26.5 degrees N since 2004 (RAPIDMOC) project data set

The RAPIDMOC dataset comprises of all data collected under the RAPID: monitoring the Atlantic Meridional Overturning Circulation at 26.5 degrees N since 2004 (RAPIDMOC) project. This includes moored temperature, conductivity and salinity, current velocity, and bottom pressure time series; conductivity-temperature-depth (CTD) profiles with additional oxygen, transmittance and chlorophyll data; discrete samples from CTD niskin bottles analysed for salinity and oxygen; meteorogical, surface hydrographic, navigational and bathymetric data collected by the onboard ship systems and discrete samples; and shipboard Acoustic Doppler Current Profiler (ADCP) data.  Data have been predominately collected in the North Atlantic between latitudes of 23.7 degrees N and 28 degrees N in three sub-arrays at the Western Boundary (76.9 degrees W to 69.4 degrees W), Mid-Atlantic Ridge (52.1 degrees W to 40.9 degrees W) and Eastern Boundary (24.2 degrees W to 12.2 degrees W). Data recorded en route to the three sub-arrays, which includes ship-board data systems, some CTD profiles and discrete sample collections are also included in the dataset. A number of instrumented moorings, some of which are full depth, have been deployed in each sub-array. Data have been collected since February 2004. Data have been collected using a variety of instrumentation including conductivity-temperature-depth (CTD) sensors, current meters, Bottom Pressure Recorders (BPR), Acoustic Doppler current profilers (ADCPs), oxygen sensors, transmissometers, fluorometers, echo-sounders, thermosalinographs, anemometers, pyranometers, GPS systems, radiometers, barometers and humidity sensors. Data are collected to calculate and continuously monitor the Meridional Overturning Circulation (MOC) and provide a long-term time series of the strength of the MOC. The RAPIDMOC dataset is collected by the National Oceanography Centre. Data are held at the British Oceanographic Data Centre.

Organization: Marine Environmental Data & Information Network
BIOPOLE glider deployments in the Southern Ocean between 2023 and 2025

This BIOPOLE dataset comprises of ocean glider data collected from April 2022 until March 2025 in the Southern Ocean, funded by the Natural Environmental Research Council (NERC). This dataset aims to understand how nutrients in polar waters drive the global carbon cycle and primary productivity.  The glider deployments are collecting pressure, temperature, conductivity, salinity, optical backscatter and chlorophyll data. Near-real time, recovery (i.e., the data from the glider SD card when the glider is recovered) and quality controlled delayed mode versions of the data are available. As well as flying in open water, the gliders are also sampling under ice to provide data from areas that typically cannot be reached by traditional ships.  The organisations contributing to the dataset are the British Antarctic Survey (BAS) and the National Oceanography Centre (NOC) under NERC Grant Reference NE/W004933/1. The data are archived at the British Oceanography Data Centre (BODC).

Organization: Marine Environmental Data & Information Network
Housing Land Supply - Scotland

Local authorities are required to conduct an annual survey of the housing land supply, the Housing Land Audit, to determine completions within the timeframe and update forecasts of the housing land supply. This, in turn, helps inform land releases within the Local Development Plan process and ongoing development management decisions.

The housing land supply dataset contains a full range of local authorities and includes full details - where available - of site references, completions and remaining supply and site programming. Further details of greenfield/brownfield status, tenure, effectiveness (deliverable within the period), constraints, planning details/status and developer are also provided where available, matching the data with with Scottish Government Housing Land Audit guidance schema.

In addition to this, energy performance certification data is included within the dataset. This is used as a proxy for house completions within housing land audit sites. Planning application references are also included, drawn from the national planning application dataset.

Some of the geometry is represented by a buffer on a recorded X/Y easting/northing where polygons were not available.

Tags: Area management/restriction/regulation zones and r, Buildings, Cadastral parcels, Land use
Organization: Scottish Government SpatialData.gov.scot
National Statistics Postcode Lookup Camden

This dataset contains the National Statistics Postcode Lookup (NSPL) for the London Borough of Camden. The NSPL relates current postcodes to a range of current statutory administrative, electoral, health and other statistical geographies via ‘best-fit’ allocation from the 2021 Census output areas. It supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, which provides geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations.

Tags: postcode
Organization: London Borough of Camden
North Norfolk Brownfield Land Register

This data set provides a comprehensive list of brownfield sites across the North Norfolk District Council administrative area that are considered suitable for residential development regardless of their planning status.

The data set is produced in accordance with the Town & Country Planning (Brownfield Land Register) Regulations 2017 which requires local planning authorities to prepare, maintain and publish a register of brownfield land (previously developed land) which is suitable for residential development.

The register was first published on 18 December 2017 and is reviewed and updated annually.

The dataset is prepared in accordance with the Brownfield Land Register Data Standard.

Organization: North Norfolk District Council
Norfolk Highways Gullies

The Norfolk Highways Gullies data is a digital representation of the recorded location of highway drainage inlet gully items across the Norfolk Highway network that are maintainable at public expense by Norfolk County Council. 

Please note this data does not include catchpits, soakaways and gullies with a manhole lid. Kerb offlets have in some cases been incorrectly recorded as side-entry gullies and vice-versa. It contains OS data, under Crown copyright and database rights 2025. This Norfolk Highways Gullies data is licensed under the Open Government Licence 3.0, except where otherwise stated. 

Organization: Norfolk County Council
National Statistics Postcode Lookup UK

This dataset contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom. The NSPL relates current postcodes to a range of current statutory administrative, electoral, health and other statistical geographies via ‘best-fit’ allocation from the 2021 Census output areas. It supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, which provides geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations.

Tags: nspl, ons, postcode
Organization: London Borough of Camden
National Paediatric Diabetes Audit 2024 - 25

The excel file contains unit, regional and national level data obtained from the National Paediatric Diabetes Audit 2024-2025.

Specifically, it includes information on patient characteristics, completion of health checks and outcomes achieved (as recommended by the National Institute for Clinical Excellence) for infants, children and young people with type 1 diabetes, under the age of 25, who attended paediatric diabetes units in England, Wales and Jersey between 1 April 2024 and the 31 March 2025.

Data are included for the seven key health checks: • Glycated Haemoglobin A1c (HbA1c) • Body Mass Index (BMI) • Thyroid • Blood pressure • Urinary albumin • Foot examination • Eye screening.

Data on other health checks include: • Psychological assessment • Offering of immunisation against influenza • Advice about managing diabetes (‘sick-day rules’) • Using (or trained to use) blood ketone testing strips and a meter • Cholesterol • Additional dietetic support

Data are included for health checks at diagnosis • Screening for autoimmune disease (coeliac and thyroid disease) • Provision of Level 3 carbohydrate-counting education

Data on outcomes of care include: • HbA1c target measurements • Small vessel (microvascular) disease • Large vessel (macrovascular) disease • Autoimmune disease (coeliac and thyroid disease)

The data were first published in 2026 alongside the National Paediatric Diabetes Audit Report 2024-2025 Data suppressed due to small numbers (<5).

For further information and details on the audit please refer to: • National Paediatric Diabetes Audit Annual Reports: https://www.rcpch.ac.uk/resources/npda-annual-reports • NPDA results online: https://www.rcpch.ac.uk/resources/NPDA-dashboards • The RCPCH website: https://www.rcpch.ac.uk/npda

Organization: Healthcare Quality Improvement Partnership
North Yorkshire and York Local Nature Recovery Strategy

The link to the data North Yorkshire page contains files for the three statutory Local Habitat Map data layers for the Local Nature Recovery Strategy (LNRS) for North Yorkshire and York. The .zip folder contains the three layers listed below:

•	Areas of particular importance for biodiversity (APIBs)

•	Areas that could become of particular importance for biodiversity (ACBs)

•	Mapped Measures

The data is provided in both Shapefile and GeoJson formats.

https://hub.datanorthyorkshire.org/dataset/local-nature-recovery-strategy

Organization: North Yorkshire Council
GM Cycle Routes

Cycle routes in Greater Manchester, including on-road, off-road, and canal towpaths and National Cycle Network routes.  Data provided by the GM local authorities.  The dataset is available in MapInfo .tab, Google .kmz, and ESRI .shp file formats.

This cycle map data has been collated from a number of different sources by Transport for Greater Manchester and cannot be guaranteed to be fully correct.

Please acknowledge the source of this information using the following attribution statement: 

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2026. 

Organization: Transport for Greater Manchester
Water Framework Directive (WFD) River Water Body Catchments Cycle 3 Classification 2019 (Simplified)

This is a polygon dataset showing Water Framework Directive (WFD) River Water Body Catchments. The catchments are associated with a single river water body.

This dataset also contains coastal catchments which are the areas of land that drain to coastal waters without passing through a defined WFD River Water Body. Coastal catchments usually include small streams with catchments less than 10km2, and all beaches.

This dataset provides attribution relating to the 2019 classification results, as well as other relevant information and data about each river water body.

Catchments are defined as an area of land from which all surface run-off flows through a series of streams, rivers, and possibly lakes, to a particular point in the watercourse such as a river confluence. 

This data also contains areas of land which drain directly to coastal or estuarine waters, rather than through a river water body. In these scenarios, the field in the dataset called 'water_body_id' is set to a number, and the field in the dataset called 'water_body_type' is set to 'Coastal Catchment'. 

Created using hydrological models based on EA LiDAR data informed with the Detailed River Network which has residual Ordnance Survey rights.

The geometry of this dataset has been simplified to allow for faster web mapping services. The full resolution of this dataset is called Water Framework Directive (WFD) River Water Body Catchments Cycle 3 Classification 2019 (Full Resolution).

There is a layer file associated with this dataset, which is called Simplified_WFD_River_Water_Body_Catchments_Cycle_3_Classification_2019.lyrx. Please note that there are limitations with the shapefile format of the data. The data applies to Cycle 3 of the WFD.  Attribution statement: © Environment Agency copyright and/or database right 2024. All rights reserved. 

Tags: Cycle 3, Hydrography, River Water Body Catchments , WFD, environment, surface water management
Organization: Environment Agency