AndreaBozzo/ceres-open-data-index huggingface dataset:
Staff Count - People (Directorates)

This is the number of individual people working in each directorate within the Council. For the total number of people working for the Council, see Staff count- total number of people - there are people who have posts in more than one directorate.
The data is sourced from the Council’s Human Resources system. Figures are taken at the end of each month, the beginning of each quarter and for an annual snapshot at the end of the financial year. It does not include schools.
Please Note: Data from February 2024 to May 2026 includes some duplicate occupancy data.
Also see other HR and Workforce related datasets.

Tags: HR, Human Resources, Payroll, Staff, Staff Count, Workforce, council, headcount, hrdata, people
Organization: Calderdale Metropolitan Borough Council
Staff count - Posts

This is the number of job positions in the Council. Some employees may have two or more positions, each part time. The data is sourced from the Council’s Human Resources system. Figures are taken at the end of each month, the beginning of each quarter and for an annual snapshot at the end of the financial year. It does not include schools.
Please Note: Data from February 2024 to May 2026 includes some duplicate occupancy data.
Also see other HR and Workforce related datasets.

Tags: HR, Human Resources, Staff, Staff Count, Workforce, council, employed, headcount, hrdata, personnel, posts
Organization: Calderdale Metropolitan Borough Council
Staff Count - Full Time Equivalent (FTE)

This is the size of the Council workforce as recorded on our Human Resources system. It takes account of part time staff, who are counted on a pro-rata basis. Figures are taken at the end of each month, the beginning of each quarter and for an annual snapshot at the end of the financial year. It does not include schools.
Please Note: Data from February 2024 to May 2026 includes some duplicate occupancy data.
Also see Staff Count - People for the number of people working in the Council and Staff Count - People (Directorate) for more detail and other HR and Workforce related datasets.

Tags: FOI, FTE, HR, Human Resources, Payroll, Staff, Staff Count, Workforce, headcount, hrdata
Organization: Calderdale Metropolitan Borough Council
NatureScot's Natural Capital Tool: Ecosystem Service Capacity

This dataset contains 7 TIFF files with coverage across the whole of Scotland. Each file displays the capacity of the landscape to provide a given ecosystem service; the 7 ecosystem services are:
inland flood mitigation,
insect pollination,
access to nature,
air quality improvement,
noise regulation,
local temperature regulation, and
carbon sequestration.
Inland flood mitigation capacity is defined in this model as the ability of the landscape to slow the flow of runoff.
Pollination capacity estimates where pollinators can travel outward from their source habitat.
Access to nature capacity is defined in the NCT models as natural areas present within a short walk from dwellings.
Air quality improvement capacity reflects the ability of vegetation to trap particulate matter (i.e., acting as a physical barrier between sources of pollution and people).
Noise regulation capacity reflects the ability of vegetation to reduce noise pollution.
Local temperature regulation capacity reflects the ability of vegetation to reduce air temperatures in the immediate area.
Carbon sequestration capacity is the ability of land to capture and store carbon dioxide (CO2).

Tags: Geology, Habitats and biotopes, Human health and safety, Protected sites, Soil
Organization: Scottish Government SpatialData.gov.scot
NatureScot's Natural Capital Tool: Habitat Networks

This dataset contains 6 habitat networks (grassland, heathland, bog and fen, pond, wetland, and woodland), each of which are provided as a set of 10 x 10km tiles with coverage across the whole of Scotland. If a tile is not provided, no network is present.Each network is the result of a cost-distance analysis for generic focal species. This analysis used the Natural Capital Tool's habitat baseline, along with permeability scores taken from the EcoServ-GIS methodology & SNH Research Report 887. In addition, a minimum patch size (0.1 ha) was set. The analysis was run using three maximim dispersal distances, representing 'high', 'medium', and 'low' dispersal for the generic focal species, which are coded in the raster as 1, 2, and 3, respectively. The different extents are nested: 'low' is wholly contained within both 'medium' and 'high', and 'medium' is wholly contained within 'high'.

Tags: Geology, Habitats and biotopes, Human health and safety, Protected sites, Soil
Organization: Scottish Government SpatialData.gov.scot
NatureScot's Natural Capital Tool: Ecosystem Service Demand

This dataset contains 6 TIFF files with coverage across the whole of Scotland. Each set displays the human-centric demand for an ecosystem service; demand is mapped for 6 ecosystem services, which are: 
inland flood mitigation, 
insect pollination, 
access to nature, 
air quality improvement, 
noise regulation, and 
local temperature regulation. 
Inland flood mitigation demand is modelled as areas where flooding from rivers may negatively impact people and infrastructure. 
Pollination demand highlights which habitats are within travel range of an area in need of pollination.
Access to nature demand is modelled from three indicators: distance to greenspace, population size, and population health. 
Air quality improvement demand is determined by four equally weighted indicators: distance to major roads, proportion of man-made surfaces, population, and health. 
Noise regulation demand is scored based on three indicators: distance to noise sources, population, and health.
Local temperature regulation demand is determined by three equally weighted indicators: proportion of manmade surfaces, population, and health.

Tags: Geology, Habitats and biotopes, Human health and safety, Protected sites, Soil
Organization: Scottish Government SpatialData.gov.scot
Fire and Rescue Incidents for West Yorkshire and Calderdale

Incidents in Calderdale attended by West Yorkshire Fire and Rescue Service broken down by district, ward and postcode at sector level. West Yorkshire data published on Data Mill North.
Definition document of incidents included below.
Following a Local Government Boundary Commission review (Calderdale | LGBCE), the wards in Calderdale changed in May 2026. Some wards have been renamed, ward boundaries have been moved and the number of wards has increased from 17 to18. The incidents recorded from May 2026 use the new ward structure.

Tags: accidential fire, deliberate fires, fire and rescue, incident reporting, primary fires, road traffic collisions, secondary fires
Organization: Calderdale Metropolitan Borough Council
National Neonatal Audit Programme annual report on 2024 data

This publication contains data from the National Neonatal Audit Programme annual report on 2024 data. The audit aims to assess whether babies admitted to neonatal units receive consistently high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2022 data

This publication contains data from the National Neonatal Audit Programme annual report on 2022 data. The audit aims to assess whether babies admitted to neonatal units receive consistently high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2021 data

This publication contains data from the National Neonatal Audit Programme annual report on 2021 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2020 data

This publication  contains data from the National Neonatal Audit Programme annual report on 2020 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2019 data

This publication contains data from the National Neonatal Audit Programme annual report on 2019 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2018 data

This publication contains data from the National Neonatal Audit Programme annual report on 2018 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2017 data

This publication contains data from the National Neonatal Audit Programme annual report on 2017 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2016 data

This publication contains data from the National Neonatal Audit Programme annual report on 2016 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2013 data

This publication contains data from the National Neonatal Audit Programme annual report on 2013 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2012 data

This publication contains data from the National Neonatal Audit Programme annual report on 2012 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.


Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2011 data

This publication contains data from the National Neonatal Audit Programme annual report on 2011 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.


Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2010 data

This publication contains data from the National Neonatal Audit Programme annual report on 2010 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
National Neonatal Audit Programme annual report on 2023 data

This publication contains data from the National Neonatal Audit Programme annual report on 2023 data. The audit aims to assess whether babies admitted to neonatal units receive consistently high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
Groundwater Dependent Terrestrial Ecosystems (England only)

Location of Groundwater Dependent Terrestrial Ecosystems (GWDTEs) in England assessed by the Environment Agency for the EU Water Framework Directive. Based on SSSI outlines from Natural England, filtered to include only those sites with wetland vegetation communities listed in UK Technical Advisory Group paper 5 a-b (2004). Note that the dataset is not exhaustive, and other groundwater dependent wetlands also exist in England.  Note this dataset has been extracted from the England and Wales dataset 'GWDTEs_2014' created on 16/10/2014 Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.
© Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [2016]

Tags: ecosystem, environment, groundwater, wetland
Organization: Environment Agency
Woodland Structure In England

'ReForeSt: Remote Sensing for Forest Management and Structural Diversity' was a Defra funded Forestry R&D project.  It uses remote sensing to map structural diversity across English woodlands, complement locally derived woodland condition assessments, and test the impacts of forest management on structural diversity.  One of the components was to generate maps of key structural metrics for the whole of England derived from the LiDAR Programme.  The following is a description of three output GeoTiff raster maps:  

1) Canopy Height 90th. Raster dataset of canopy height 90th percentile for the National Forestry Inventory 2020 (‘Woodland’ Integrated Forest Types) at 30 m resolution. Data are derived from the Environment Agency’s LiDAR Vegetation Object Model (VOM) which is produced from the National LiDAR Programme (2017-2023). Canopy height is presented in metres as the 90th percentile of VOM values within each 30 m pixel.

2) Canopy Gap Fraction.  Raster dataset of canopy gap fraction for the National Forest Inventory 2020 (‘Woodland’ Integrated Forest Types). Data are derived from the Environment Agency’s LiDAR Vegetation Object Model which is produced from the National LiDAR Programme (2017-2023). Canopy gaps are defined as an area larger than 10 m2 where all vegetation is below 2.5 m in height. Canopy gap fraction is calculated as the area of canopy gap divided by the area of woodland with a maximum value of 1.

3) Foliage Height Diversity.  Raster dataset of foliage height diversity for the National Forestry Inventory 2020 (‘Woodland’ Integrated Forest Types) at 30 m resolution. Data are derived from the Environment Agency’s National LiDAR Programme (2017-2024). Foliage height diversity is presented as the ‘number of effective layers’ and uses the Shannon’s Diversity Index to describe how evenly vegetation is distributed across six height layers: 0-1 m, 1-2 m, 2-5 m, 5-8 m, 8-20 m and 20+ m. Scores range from 0 where there is no vegetation to 6 where LiDAR points equally fill all height layers.

In addition, there are two catalogue files, which are based on the EA’s National LiDAR Programme Catalogue (available under OGL) and provide details on the 5km tiles of the underlying LiDAR survey. These are included because the raster datasets are composites across years, and these catalogue files will help users understand when data for different areas were collected. 

Canopy Height 90th and Canopy Gap Fraction are matched with ‘National_LiDAR_Programme_tile_catalog_VOM_2017_2023.gpkg’
Foliage Height Diversity is matched with ‘National_LiDAR_Programme_tile_catalog_2017_2024.gpkg’

 Attribution statement: © Forestry Commission & Environment Agency copyright and/or database right 2026. All rights reserved. 

Tags: Canopy gap fraction, Canopy height, England, Foliage height diversity, Forest Research, LIDAR, biodiversity, environment, forest ecology, forest management, forest resource assessment, remote sensing, structural diversity
Organization: Forestry Commission
National Neonatal Audit Programme annual report on 2015 data

This publication contains data from the National Neonatal Audit Programme annual report on 2015 data. The audit aims to assess whether babies admitted to neonatal units receive consistent high-quality care.

Data from the NNAP need careful interpretation. It should not be considered in isolation when assessing standards of care. Data files should be considered alongside their accompanying annual report to support interpretation.

Organization: Healthcare Quality Improvement Partnership
Potential evapotranspiration derived from HadUK-Grid 1km gridded climate observations 1969-2022 (Hydro-PE HadUK-Grid)

[THIS DATASET HAS BEEN WITHDRAWN]. Gridded potential evapotranspiration calculated from HadUK-Grid gridded observed meteorological data at 1 km resolution over the United Kingdom for the years 1969-2022. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each calendar month. Full details about this dataset can be found at https://doi.org/10.5285/beb62085-ba81-480c-9ed0-2d31c27ff196

Tags: Atmospheric Conditions, potential evaporation, potential evapotranspiration
Organization: Environmental Information Data Centre
CEH Land Cover plus: Fertilisers 2010-2015 (England)

This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015). The estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution. These data were modelled from Defra British Survey of Fertiliser Practice (BSFP) data using a spatial interpolation procedure. Different uses and potential applications of the produced maps, including the following: 1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water; 2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts); 3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators; 4) Linking crop growth models to predict areas where better nutrient management may improve yields; 5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality). This data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051

Tags: ASSIST, Achieving Sustainable Agricultural Systems, England, Fertiliser application, Land Use, Nitrogen, Phosphorus , Potassium 
Organization: Environmental Information Data Centre
Video data of captive red deer behaviour and movement patterns, Prague, Czechia, June-November 2023

This dataset contains video recordings of captive red deer Cervus elaphus, to study sleep behaviour. Videos were recorded using two speed dome IP cameras. This data was collected continuously from 18 adult individuals; 13 male, 5 female, in 2023 (13/06/23 - 1/8/23; 04/09/23 - 08/11/23; 13/11/23 - 21/11/23). Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project "NE/X010368/1: Sleep in the landscape of fear" to pair with biologging collar data. Note: to download individual files, right click on the file name and select 'save as' or 'save link as'. The list of files is accessed via the Download button. Clicking on a file will cause it open in the browser rather than downloading it to a local drive. This is caused by an issue to do with the file type and our developers are currently working on a fix for this. Full details about this dataset can be found at https://doi.org/10.5285/54dd22be-bace-4827-bea8-c66c3adefd7c

Tags: Agricultural and Aquaculture Facilities, biologging, red deer
Organization: Environmental Information Data Centre
Wildfire simulation outputs from Fire Dynamics Simulator (FDS) using real-world fuel data from forest plots, Oregon, USA, 2019

This dataset contains outputs of wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes three simulations, each representing different simulation parameters. The forest plot used for the simulations consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The inputs of the simulations are available at Cabo et al., 2025 https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28 . These simulations serve as an example on how ground-based LiDAR data can be used to run 3D-spatially explicit wildfire simulations. The dataset includes CSV files containing the numeric results of the simulations; OUT, TXT, and INI files containing the specifications of the simulation (software version, date, number of threads, simulation domain, units, etc.); and FDS-specific output files which contain data related to the simulation paramaters : .PRT5 (Part 5 / Particle Files), .S3D(3D Smoke Files), .SF (Slice Files), .BND (Boundary Files), .GBND (Gas/Global Boundary Files), .Q (Plot3D Files), .smv (Smokeview Files), and .SZ (Smokeview Sizing Files). Full details about this dataset can be found at https://doi.org/10.5285/f9180989-6528-404e-8110-e3dcc205a6a1

Tags: FDS, LiDAR, computational fluid dynamics models, wildfire
Organization: Environmental Information Data Centre