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NERC Data Catalogue Service
type: Catalog
label: NERC Data Catalogue Service (Natural Environment Research Council)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: Natural Environment Research Council
themes: Continents, countries, sea regions of the world.
language: eng
dataset: https://catalogue.ceh.ac.uk/id/acae99ba-b088-4544-9c48-71d70498c16f 10.5285/acae99ba-b088-4544-9c48-71d70498c16f
dataset: 1406200148983 https://catalogue.ceh.ac.uk/id/59422890-c8d3-49b8-b17e-4f5062475140 10.5285/59422890-c8d3-49b8-b17e-4f5062475140
dataset: https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f 10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f
dataset: https://catalogue.ceh.ac.uk/id/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9 10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
dataset: https://catalogue.ceh.ac.uk/id/7c1dd26a-5df5-4b90-854b-70d0d97eb78a 10.5285/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
dataset: https://catalogue.ceh.ac.uk/id/def51d3d-d653-40ca-8231-a238b0c66975 10.5285/def51d3d-d653-40ca-8231-a238b0c66975
dataset: https://catalogue.ceh.ac.uk/id/8df65124-68e9-4c68-8659-1c6b82c735e9 10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
dataset: https://catalogue.ceh.ac.uk/id/f969f92f-baa6-4621-bf27-ea29409f16d0 10.5285/f969f92f-baa6-4621-bf27-ea29409f16d0
dataset: 1380789742163 https://catalogue.ceh.ac.uk/id/7bacc94a-3a37-4918-a43b-977678bff8f5
dataset: https://catalogue.ceh.ac.uk/id/699f2172-88c1-44b7-a8f5-a22296a9e2cb 10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb
dataset: https://catalogue.ceh.ac.uk/id/fbcfc877-a38e-4c26-8d8b-7226392493db 10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db
dataset: https://catalogue.ceh.ac.uk/id/03940756-afe9-428b-8c69-275e6b889251 10.5285/03940756-afe9-428b-8c69-275e6b889251
dataset: https://catalogue.ceh.ac.uk/id/7e3b5549-881f-47ea-b003-08542bf6193e 10.5285/7e3b5549-881f-47ea-b003-08542bf6193e
dataset: Natural Environment Research Council
dataset: Continents, countries, sea regions of the world.
dataset: Atmospheric Conditions
dataset: Environmental Monitoring Facilities
dataset: Energy Resources
dataset: Hydrography
dataset: Species Distribution
dataset: Download the data
dataset: Supporting information
dataset: Web Map Service (WMS)
dataset: Open University
dataset: NERC EDS Environmental Information Data Centre
dataset: Institute of Terrestrial Ecology
dataset: Forest Research
dataset: University College Dublin
dataset: Bangor University
dataset: Universidade Estadual Paulista
dataset: Unaffiliated
dataset: Conservation International Madagascar
dataset: Centre for Ecology & Hydrolgy
dataset: Joint Nature Conservation Committee
dataset: EMAIL NOT PROVIDED
catalog record:
  primary topic: https://catalogue.ceh.ac.uk/id/fbcfc877-a38e-4c26-8d8b-7226392493db 10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db
  conforms to: 32557.html
  issued: 2025-11-13
  modified: 2025-11-13
dataset: Soil nutrients, bulk density and pyrogenic carbon in permanent monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022
  abstract: The dataset contains information on soil nutrients including pH, available phosphorus, total phosphorus, texture analysis in sand, clay and silt, and exchangeable Ca, Mg, K, Na. Soil pyrogenic carbon, including Total Organic Carbon (TOC) (%C_(Bulk)), pyrogenic carbon D13C (lower, median, and upper), pyrogenic carbon (Cpyc), Cpyc%/CBulk, organic carbon and soil bulk density and dry weight of roots. The datasets include information about the plot location and parameters of the locality. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The objective of this data collection was to determine the change in soil characteristics between the disturbance gradients. This information is important for understanding the drivers of variation in forest resilience and the impacts of disturbance on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the Resilience of forest ecosystems after the post-conflict period in Colombia. This research was supported by the UK Natural Environment Research Council Fund (NE/R017980/1). Full details about this dataset can be found at https://doi.org/10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db
  theme: biota
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-76.19 4.409, -76.19 6.61, -74.103 6.61, -74.103 4.409, -76.19 4.409))
  temporal: 2019-01-01 / 2022-12-31
  publisher: Instituto Nacional de Pesquisas da Amazônia
  language: eng
  license: If you reuse this data, you should cite: Montes-Pulido, C., Feldpausch, T.R., Pennington, T., Bird, M., Quesada, C. (2023). Soil nutrients, bulk density and pyrogenic carbon in permanent monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db
  license: no limitations
  license: This resource is available under the terms of the Open Government Licence
  license: Montes-Pulido, C.R., Bird, M.I., Serrano, J., Quesada, C.A. and Feldpausch, T.R. (2024), Climatic and edaphic drivers of soil organic carbon and pyrogenic carbon stocks across elevation and disturbance gradients in Colombian Andean forests. Global Change Biology.
  distribution: -Supporting information
  distribution: -Download the data
  data quality: Samples were analyzed in the laboratory of the National Open and Distance University (UNAD), Instituto Nacional de Pesquisas da Amazônia, and James Cook University. Total Organic Carbon (TOC) was calculated by elemental analysis using a Costech ECS-4010 with a zero blank autosampler. Pyrogenic carbon (Cpyc) was analyzed via hydrogen pyrolysis (HyPy). The ratio of pyrogenic carbon to total organic carbon (Cpyc%/CBulk) was determined by elemental analysis following HyPy, which quantifies the Stable Polycyclic Aromatic Carbon component of total PyC in a sample. Soil pH was determined by 10 grams of fine earth shaken with 25 ml of water for 1 hour on a circular shaker, followed by a 1-hour rest period. The pH of the supernatant was then measured using an automatic probe. Available phosphorus (p_available) were analyzed for a sequential extraction with reagents of increasing strength. The first step being resin extractable P, followed by 0.5 M NaHCO3,0.1MNaOH and 1M HCl. Total phosphorus (tot_p) was calculated by acid digestion using concentrate sulfuric acid followed by H2O2. Particle size analysis was undertaken using the Boyoucos method. 50 g of fine earth was first treated with physical and chemical dispersants and then separated into sand (particle sizes between 0.05 and 2 mm),silt (particle sizes between 0.002 mm and 0.05mm) and clay contents (particle sizes<0.002 mm) by the means of a series of hygrometer readings in a settling soil solution. Exchangeable Ca, Mg, K and Na were determined by the silver thiourea method (Ag-TU). This method allows an appropriate one-step centrifuge extraction using 0.01 M Ag-TU solution, which achieves complete cation exchange. Samples for bulk density determinations were oven dried until constant weight, cooled to room temperature in a sealed desiccant before final weight determinations were made.
catalog record:
  primary topic: https://catalogue.ceh.ac.uk/id/03940756-afe9-428b-8c69-275e6b889251 10.5285/03940756-afe9-428b-8c69-275e6b889251
  conforms to: 32557.html
  issued: 2025-11-20
  modified: 2025-11-20
dataset: Vector maps of the 1960 Second Land Utilisation Survey in England and Wales, from 110 published maps
  abstract: This is a vector dataset representing land use in the 1960s across a selection of areas in England and Wales. The land use data is digitised from 110 published maps of the 1960s Second Land Utilisation Survey (2LUS) which was directed by Professor Alice Coleman. The published maps were digitised using a semi-automated supervised classification, followed by extensive post-processing to clean the vector dataset. The resulting dataset maps 11 land-use categories including “Arable”, “Broadleaved and mixed woodland”, “Coastal”, “Coniferous woodland”, “Grassland”, “Heath, moorland and rough land”, “Market gardening and orchards”, “Open space”, “Settlement”, “Unvegetated land”, “Water and Marsh”. Full details about this dataset can be found at https://doi.org/10.5285/03940756-afe9-428b-8c69-275e6b889251
  theme: Land Use
  theme: Land Cover
  theme: environment
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))
  temporal: 1960-01-01 / 1960-12-31
  publisher: Wood PLC
  publisher: Environment Information Services
  publisher: King's College
  language: eng
  license: If you reuse this data, you should cite: Ridding, L.E., Wickenden, A.R., Orsler, Z., Rowland, C.S., Hampton, J.M., Mitchell, B., Edwardes, A., Mullin, K., Haughton, G., Thurston, N., Pola, I., Sinclair, G., Sinclair, M.R., Shaw, J., Pywell, R.F. (2025). Vector maps of the 1960 Second Land Utilisation Survey in England and Wales, from 110 published maps. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/03940756-afe9-428b-8c69-275e6b889251
  license: no limitations
  license: This resource is available under the terms of the Open Government Licence
  distribution: -Supporting information
  distribution: -Download the data
  data quality: All 110 published Second Land Utilisation Survey (2LUS) maps were digitised using a semi-automated supervised classification method. Firstly, maps were scanned and saved as Tiff images at 300 dots per inch at a colour depth of 8 bits per channel (24-bit depth). These were georeferenced in ArcGIS v10.7 using the Ordnance Survey (OS) 1km National Grid. For the classification, georeferenced 3-band images were converted to 16-bit single band images (256 colours). A manual look-up table was created for each map image identifying the dominant unique pixel values of the different land use classes. Any “noise” present on the images including text, contour lines and symbols were assigned a single blank value of 0. Similarly, pixel values which were common to multiple land use classes, such as the white colour were also assigned to 0. For these reasons it was not possible to classify either the “unvegetated land” or the “derelict land” land use categories. The model reclassified the 256 colours within a range of 0 to 10, representing the 10 land use categories and the noise category (pixel value = 0), with the latter being removed and replaced. Classified images were vectorised and manually cleaned using eliminate functions in ArcGIS. All “unvegetated land” was manually digitised as this could not be classified, along with a new category for “coastal” areas which were not classified. Railway lines, roads and very small rivers were inconsistently classified and were therefore removed, while “industry” and “transport” classes were grouped with “settlement” to ensure uniformity. “Derelict land” could not be classified but was often mapped in the classification as “settlement”, so this was later grouped with this category. Woodland was manually split into broadleaved and coniferous using the woodland symbology provided on the OS background, this usually aligned with the manual over-printed symbols but the latter was not present for all woodlands, thus the OS backdrop was used. Th…
catalog record:
  primary topic: https://catalogue.ceh.ac.uk/id/7e3b5549-881f-47ea-b003-08542bf6193e 10.5285/7e3b5549-881f-47ea-b003-08542bf6193e
  conforms to: 32557.html
  issued: 2025-11-13
  modified: 2025-11-13
dataset: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) the erosion rate of sediment cores from salt marsh sites at Morecambe Bay and Essex
  abstract: The dataset comprises the erosion rate (percent mass loss per hour) observed in sediment cores (16 centimetre (cm) diameter, 30cm height) subjected to flume tank flow for three 'waterfall' flows (Low, medium, high). Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 metre (m), 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/7e3b5549-881f-47ea-b003-08542bf6193e
  theme: Habitats and Biotopes
  theme: biota
  spatial: Polygon
    as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))
  temporal: 2013-01-01 / 2013-08-31
  issued: 2016-04-22
  language: eng
  license: © Bangor University
  license: If you reuse this data, you should cite: Ford, H., Garbutt, A., Skov, M. (2016). Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) the erosion rate of sediment cores from salt marsh sites at Morecambe Bay and Essex. NERC Environmental Information Data Centre https://doi.org/10.5285/7e3b5549-881f-47ea-b003-08542bf6193e
  license: no limitations
  license: This resource is made available under the terms of the Open Government Licence
  distribution: -Download the data
  distribution: -Supporting information
  data quality: Sediment cores (16 centimetre (cm) diameter, 30 cm height) including above ground vegetation were collected in each 1 x 1 m quadrat. Each core was placed horizontally in the 'waterfall force' of the re-circulation flume for 1.5 hours (0.5 hour at low force, 0.5 hour at medium force, 0.5 at high force). Sediment erosion rate was calculated from the amount of mass lost over half an hour with measurements taken time = 0 minutes (mins), 5 mins, 10mins, 15mins and 30mins. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty-two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).
concept: Land Use
  in scheme: GEMET - INSPIRE themes, version 1.0
concept: Land Cover
  in scheme: GEMET - INSPIRE themes, version 1.0
concept: Habitats and Biotopes
  in scheme: GEMET - INSPIRE themes, version 1.0
distribution: Supporting information
  access URL: https://data-package.ceh.ac.uk/sd/fbcfc877-a38e-4c26-8d8b-7226392493db.zip
distribution: Download the data
  access URL: https://data-package.ceh.ac.uk/data/fbcfc877-a38e-4c26-8d8b-7226392493db
distribution: Supporting information
  access URL: https://data-package.ceh.ac.uk/sd/03940756-afe9-428b-8c69-275e6b889251.zip
distribution: Download the data
  access URL: https://data-package.ceh.ac.uk/data/03940756-afe9-428b-8c69-275e6b889251
distribution: Download the data
  access URL: https://data-package.ceh.ac.uk/data/7e3b5549-881f-47ea-b003-08542bf6193e
distribution: Supporting information
  access URL: https://data-package.ceh.ac.uk/sd/7e3b5549-881f-47ea-b003-08542bf6193e.zip
organization: Instituto Nacional de Pesquisas da Amazônia
organization: NERC EDS Environmental Information Data Centre
organization: Wood PLC
organization: Environment Information Services
organization: King's College
agent: Wickenden, A.R.
agent: Hampton, J.M.
agent: Mitchell, B.
agent: Edwardes, A.
agent: Mullin, K.
agent: Haughton, G.
agent: Thurston, N.
agent: Pola, I.
agent: Sinclair, G.
agent: Sinclair, M.R.
agent: Shaw, J.
agent: Ford, H.
concept: Land Use
  in scheme: GEMET - INSPIRE themes, version 1.0
concept: Land Cover
  in scheme: GEMET - INSPIRE themes, version 1.0
concept: Habitats and Biotopes
  in scheme: GEMET - INSPIRE themes, version 1.0
distribution: Supporting information
  access URL: https://data-package.ceh.ac.uk/sd/fbcfc877-a38e-4c26-8d8b-7226392493db.zip
distribution: Download the data
  access URL: https://data-package.ceh.ac.uk/data/fbcfc877-a38e-4c26-8d8b-7226392493db
distribution: Supporting information
  access URL: https://data-package.ceh.ac.uk/sd/03940756-afe9-428b-8c69-275e6b889251.zip

Natural Environment Research Council
type: Organization

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://data-search.nerc.ac.uk:/geonetwork/srv/eng/thesaurus.download

https://data-search.nerc.ac.uk:/geonetwork/records/acae99ba-b088-4544-9c48-71d70498c16f
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/acae99ba-b088-4544-9c48-71d70498c16f 10.5285/acae99ba-b088-4544-9c48-71d70498c16f
conforms to: 32557.html
issued: 2025-11-19
modified: 2025-11-19

Viable bioaerosol and particulate data from four sites representing different levels of endotoxin exposure in south east England, 2016-2018
type: Dataset
abstract: The dataset was collected between 2016-2018. A range of different environments were sampled including urban and rural sites in the South East of England, a compost facility in the East of England and a chicken farm in the South East of England. At each site viable bioaerosols (total bacteria, gram negative bacteria and fungi), endotoxin and particulates were measured. Full details about this dataset can be found at https://doi.org/10.5285/acae99ba-b088-4544-9c48-71d70498c16f
theme: Atmospheric Conditions
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))
temporal: 2016-01-01 / 2018-12-31
publisher: Open University
language: eng
license: If you reuse this data, you should cite: Gladding, T.L., Rolph, C.A. (2022). Viable bioaerosol and particulate data from four sites representing different levels of endotoxin exposure in south east England, 2016-2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/acae99ba-b088-4544-9c48-71d70498c16f
license: no limitations
license: This resource is available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: The dataset was generated according to accepted protocols as detailed in the supporting documentation. Pumps for the Andersen samplers were tested before each sampling day using inline flow meters. The Osiris particulate counter is serviced and recalibrated yearly as advised by the manufacturer. All equipment and filters for endotoxin analysis were depyrogenated before use. Controls included analysing unexposed filters and filters that were placed on the Andersen without the pumps running to check for contamination.

https://data-search.nerc.ac.uk:/geonetwork/records/59422890-c8d3-49b8-b17e-4f5062475140
type: CatalogRecord
primary topic: 1406200148983 https://catalogue.ceh.ac.uk/id/59422890-c8d3-49b8-b17e-4f5062475140 10.5285/59422890-c8d3-49b8-b17e-4f5062475140
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Countryside Survey 1998 estimates of linear feature lengths in Great Britain
type: Dataset
identifier: 1406200148983 https://catalogue.ceh.ac.uk/id/59422890-c8d3-49b8-b17e-4f5062475140 10.5285/59422890-c8d3-49b8-b17e-4f5062475140
abstract: This dataset consists of stock (length) data for linear features across Great Britain in 1998. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/59422890-c8d3-49b8-b17e-4f5062475140
theme: Environmental Monitoring Facilities
theme: environment
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))
temporal: 1998-05-01 / 1999-10-31
publisher: Institute of Terrestrial Ecology
accrual periodicity: notPlanned
language: eng
license: © Database Right/Copyright UK Centre for Ecology & Hydrology. All rights reserved.
license: The following acknowledgement shall be used on all copies of the data, publications and reports, including use in presentations to any audience. 'Countryside Survey data owned by NERC Centre for Ecology & Hydrology'
license: If you reuse this data, you should cite: Barr, C.J., Bunce, R.G.H., Clarke, R.T., Gillespie, M.K., Howard, D.C., Maskell, L.C., Norton, L.R., Scott, R.J., Scott, W.A., Smart, S.M., Stuart, R.C., Watkins, J.W., Wood, C.M., Wright, S.M. (2014). Countryside Survey 1998 estimates of linear feature lengths in Great Britain. NERC Environmental Information Data Centre https://doi.org/10.5285/59422890-c8d3-49b8-b17e-4f5062475140
license: no limitations
license: This resource is made available under the terms of the Open Government Licence
distribution: Supporting information
distribution: Download the data
data quality: The data were recorded onto paper field sheets in the summers of 1998 and 1999 by surveyors. Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean length per Land Class. Data are managed by the Centre for Ecology & Hydrology, Lancaster.

https://data-search.nerc.ac.uk:/geonetwork/records/1a1000a8-4e7e-4851-8784-94c7ba3e164f
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f 10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021
type: Dataset
abstract: This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’). These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891. Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible. The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. This work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f
theme: Energy Resources
theme: biota
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-11.285 49.58, -11.285 60.861, 1.768 60.861, 1.768 49.58, -11.285 49.58))
temporal: 1891-01-01 / 2021-12-31
publisher: Forest Research
publisher: University College Dublin
language: eng
license: If you reuse this data, you should cite: Mason, K.E., Ashwood, F., Schmidt, O., Cosby, J., Keith, A.M. (2022). A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f
license: no limitations
license: This resource is available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: A systematic literature search was conducted to find data sources using Web of Science and Google Scholar (in June/July 2020). This used the following search term: (Earthworm* OR Oligochaeta OR Annelid* OR Lumbric* OR Clitellat*) AND (Diversity OR “Species richness” OR “OTU” OR Abundance OR individual* OR Density OR “tax* richness” OR “Number” OR Richness OR Biomass) AND (UK OR “United Kingdom” OR England OR Wales OR Scotland OR “NI” OR “Northern Ireland” OR “Ireland” OR “ROI”) Publications were selected and meta-data recorded if they contained location information and the presence of at least one species of earthworm or abundance/biomass data obtained from the field. Further publications were found through screening of review papers and contact with selected authors for additional information and resources, including published and unpublished datasets. In total, 257 data sources were compiled. Original sources (i.e. published papers, book chapters) could not be obtained for 17 studies at the time of compiling meta-data and are thus lacking any additional information.

https://data-search.nerc.ac.uk:/geonetwork/records/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9 10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019
type: Dataset
abstract: This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England, UK. One site is managed for the production of horticultural salad crops, the other is an area of managed grassland. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 10th November 2016 and 25th September 2018 at the cropland site, and between 27th April 2017 and 31st March 2019 at the grassland. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at https://doi.org/10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
theme: Environmental Monitoring Facilities
theme: climatologyMeteorologyAtmosphere
theme: geoscientificInformation
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-0.187 52.486, -0.187 52.547, -0.051 52.547, -0.051 52.486, -0.187 52.486))
temporal: 2016-11-10 / 2019-03-31
publisher: Bangor University
language: eng
license: © UK Centre for Ecology & Hydrology
license: If you reuse this data, you should cite: Morrison, R., Cooper, H., Cumming, A.M.J., Evans, C., Thornton, J., Winterbourn, J.B., Rylett, D., Jones, D.L. (2020). Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019. NERC Environmental Information Data Centre https://doi.org/10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
license: no limitations
license: This resource is available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: Eddy covariance (EC) and micrometeorological observations were made using open-path eddy covariance systems. Ancillary meteorological and soil physics observations were co-located with the eddy covariance stations. Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). Further details are available in the supporting documentation accompanying the data.

https://data-search.nerc.ac.uk:/geonetwork/records/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/7c1dd26a-5df5-4b90-854b-70d0d97eb78a 10.5285/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Nitrous oxide emissions from Whim peatbog after thirteen years of experimental nitrogen deposition
type: Dataset
abstract: The data set contains fluxes of nitrous oxide (N2O) from Whim peatbog in central Scotland, measured using chamber methods. A nitrogen deposition experiment was carried out at the site, where nitrogen was applied in different forms (ammonium, nitrate, and ammonia) at doses from zero to ~100 kg N per ha per year. Flux measurements were made over a six month period starting at the end of March, 2012. The experiment was begun in 2002 under the NERC Global Nitrogen Enrichment (GaNE) programme, and continued under various funding sources. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
theme: Environmental Monitoring Facilities
theme: environment
theme: biota
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-3.28 55.76, -3.28 55.77, -3.27 55.77, -3.27 55.76, -3.28 55.76))
temporal: 2010-01-01 / 2016-12-31
issued: 2016-03-01
accrual periodicity: notPlanned
language: eng
license: © UK Centre for Ecology & Hydrology
license: If you reuse this data, you should cite: Levy, P.E., Leeson, S.R. (2017). Nitrous oxide emissions from Whim peatbog after thirteen years of experimental nitrogen deposition. NERC Environmental Information Data Centre https://doi.org/10.5285/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
license: no limitations
license: This resource is made available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: The data were collected using the static chamber method. Gas samples were taken from chambers in the field via syringe and injected into vials for storage and later analysis. Samples were analysed on a gas chromatagraph (GC) in the lab. Concentrations were calculated from GC peak areas, calibrated against standard gases of known concentration. Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression using the R package RCflux. Fluxes are expressed as nmoles of nitrous oxide per square metre per second. Each flux has an associated 95 % confidence interval, based on the regression fit, which gives a guide to the reliability and uncertainty of each measurement.

https://data-search.nerc.ac.uk:/geonetwork/records/def51d3d-d653-40ca-8231-a238b0c66975
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/def51d3d-d653-40ca-8231-a238b0c66975 10.5285/def51d3d-d653-40ca-8231-a238b0c66975
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Fine root production in human-modified forests of Eastern Amazonia
type: Dataset
abstract: This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from October 2014 until May 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/def51d3d-d653-40ca-8231-a238b0c66975
theme: biota
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-55 -3.5, -55 -2.57, -54.5 -2.57, -54.5 -3.5, -55 -3.5))
temporal: 2014-10-01 / 2018-05-31
publisher: Universidade Estadual Paulista
publisher: Unaffiliated
language: eng
license: © Natural Environment Research Council
license: If you reuse this data, you should cite: Berenguer, E., Rossi, L.C., Seixas, M.M.M., Barlow, J. (2019). Fine root production in human-modified forests of Eastern Amazonia . NERC Environmental Information Data Centre https://doi.org/10.5285/def51d3d-d653-40ca-8231-a238b0c66975
license: no limitations
license: This resource is made available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: We assessed roots production in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris. In each plot we installed four in-growth soil cores (12 cm Diameter x 40 cm deep) using a plastic mesh (mesh size = 1.5cm). Each in-growth core was placed 50m apart. Cores were set 30cm deep into the soil, with 10cm aboveground. Before each sampling, both the soil temperature were measured inside and outside the in-growth core. In the field, each soil core was placed on a plastic sheet and broken in smaller parts until was homogenically spread. For the first measurement, called root stock, roots were collected in 24 intervals of five minutes each (three minutes break between intervals). The soil was homogenized before every new interval. After the sampling, the soil was placed back in the hole with the in-growth core inside. The sampled roots were taken to the laboratory and washed in a plastic sieve (2 mm mesh size), oven-dried at 60oC for 72 h and weighed. The second measure is taken 3 months after the first one, which gives us the first stock of fine root production. We collect the soil in the same hole and use the same method to collect the roots, but with 12 intervals of five minutes each (three minutes break between intervals). The laboratory procedure was the same. After three months, we take another measure in the same hole, using the same method as the second measure. After one year, the soil core is taken around 30 cm next to the first one, as the soil becomes physically disturbed and compact, which influences root production. For this new in-growth core, we start the sampling again with 2…

https://data-search.nerc.ac.uk:/geonetwork/records/8df65124-68e9-4c68-8659-1c6b82c735e9
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/8df65124-68e9-4c68-8659-1c6b82c735e9 10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Gridded (1km) physical river characteristics for the UK v2
type: Dataset
abstract: The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: • Drainage directions (D8 flow method), ESRI coding • Drainage directions (D8 flow method), unifhy (python hydrology framework) coding • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) Two versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
theme: Hydrography
theme: inlandWaters
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))
issued: 2022-10-21
language: eng
license: If you reuse this data, you should cite: Davies, H.N., Rameshwaran, P., Bell, V.A. (2022). Gridded (1km) physical river characteristics for the UK v2. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9
license: no limitations
license: This resource is available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: The 1 km x 1 km outflow drainage direction and catchment areas datasets are generated from a 50 m x 50 m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1 km x 1 km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with catchment area and rainfall characteristics. The 1km × 1km gridded bankfull river depth dataset is generated using observed measurements from a range of sources in a regression relationship with catchment area and rainfall characteristics. Finally, the NRFA (National River Flow Archive) gauging station location dataset on a 1 km x 1 km grid is generated by identifying the location (easting, northing) on the catchment areas dataset that best represents the true gauging station location. An indication of the quality of these data is provided by the percentage error between the 1km-derived and the IHDTM catchment areas. See supporting information for more details.

https://data-search.nerc.ac.uk:/geonetwork/records/f969f92f-baa6-4621-bf27-ea29409f16d0
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/f969f92f-baa6-4621-bf27-ea29409f16d0 10.5285/f969f92f-baa6-4621-bf27-ea29409f16d0
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Conservation and development investments in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2007-2014
type: Dataset
abstract: Conservation and development investments in the Ankeniheny-Zahamena Corridor (CAZ) includes information on investment type, implementing agency, and timing and location of investments. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, 'Can Paying 4 Global Ecosystem Services values reduce poverty?' (P4GES) project Full details about this dataset can be found at https://doi.org/10.5285/f969f92f-baa6-4621-bf27-ea29409f16d0
theme: environment
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((48.202 -18.99, 48.202 -17.434, 49.153 -17.434, 49.153 -18.99, 48.202 -18.99))
issued: 2017-02-03
publisher: Conservation International Madagascar
accrual periodicity: notPlanned
language: eng
license: If you reuse this data, you should cite: Tabor, K., Rasolohery, A., Ramanahadray, S., Rambeloson, A. (2017). Conservation and development investments in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar, 2007-2014. NERC Environmental Information Data Centre https://doi.org/10.5285/f969f92f-baa6-4621-bf27-ea29409f16d0
license: no limitations
license: This resource is made available under the terms of the Open Government Licence
distribution: Supporting information
distribution: Download the data
data quality: Lineage statement We collected details on all investments in the CAZ from 2007-2104 through a document view of reports and financial records from Conservation International Madagascar, national NGOs, and international agencies. Inconsistencies in documentation in both the types of investments as well as the implementing agencies proved a major challenge to collecting accurate data, particularly of spatial data on the location of communities that received investments. The finest spatial resolution of the investments was recorded at the fokontany-scale. While we did document a total of 629 investments, only 553 of those investments could be mapped to the containing fokontany. The remaining 76 where mapped to the containing commune. We used expert local knowledge from Conservation International Madagascar staff working in CAZ to fill in gaps in the spatial and temporal information of partner organization investments data as well as missing spatial information in the financial and project reports.

https://data-search.nerc.ac.uk:/geonetwork/records/7bacc94a-3a37-4918-a43b-977678bff8f5
type: CatalogRecord
primary topic: 1380789742163 https://catalogue.ceh.ac.uk/id/7bacc94a-3a37-4918-a43b-977678bff8f5
conforms to: 32557.html
issued: 2025-11-05
modified: 2025-11-05

Ash tree distribution in Great Britain 2007 View Service
identifier: 1380789742163 https://catalogue.ceh.ac.uk/id/7bacc94a-3a37-4918-a43b-977678bff8f5
abstract: This service displays a series of datasets consisting of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain using a stratified random sampling system based on the ITE Land Classification. Mean national estimates were produced by scaling up from the sample data.
theme: Species Distribution
publisher: Centre for Ecology & Hydrolgy
accrual periodicity: irregular
license: no limitations
license: Licence terms and conditions apply
distribution: Web Map Service (WMS)
relation: https://catalogue.ceh.ac.uk/id/0c3567a8-3700-4d52-a21f-de1bd709141a
relation: https://catalogue.ceh.ac.uk/id/05e5d538-6be7-476d-9141-76d9328738a4
relation: https://catalogue.ceh.ac.uk/id/7f7c99c7-5457-444d-978a-fe7b01a85fd0
data quality: Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation linked to dataset records for further information.

https://data-search.nerc.ac.uk:/geonetwork/records/699f2172-88c1-44b7-a8f5-a22296a9e2cb
type: CatalogRecord
primary topic: https://catalogue.ceh.ac.uk/id/699f2172-88c1-44b7-a8f5-a22296a9e2cb 10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb
conforms to: 32557.html
issued: 2025-11-13
modified: 2025-11-13

Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2022
type: Dataset
abstract: This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years). The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country. UK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2022: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, the University of Reading and University of Leeds. PoMS Steering Group members in 2022 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, Buglife and National Biodiversity Network. Full details about this dataset can be found at https://doi.org/10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb
theme: Environmental Monitoring Facilities
theme: Species Distribution
theme: biota
theme: environment
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))
temporal: 2017-04-01 / 2022-09-30
publisher: Joint Nature Conservation Committee
language: eng
license: The following acknowledgement is required for use of this dataset: The UK Pollinator Monitoring Scheme (UK PoMS) is a partnership funded jointly by the UK Centre for Ecology & Hydrology (UKCEH) and Joint Nature Conservation Committee (JNCC) (through funding from the Department for Environment, Food & Rural Affairs, Scottish Government, Welsh Government and Department of Agriculture, Environment and Rural Affairs for Northern Ireland). UKCEH's contribution is part-funded by the Natural Environment Research Council formerly as part of the UK-SCAPE programme (award NE/R016429/1) and now as part of the NC-UK programme (award NE/Y006208/1) delivering National Capability. Between 2017 and 2021, PoMS was funded by UKCEH and Defra (England), Welsh Government, Scottish Government, DAERA (Northern Ireland), and JNCC. PoMS is indebted to the many volunteers who carry out surveys and contribute data to the scheme.
license: If you reuse this data, you should cite: UK Pollinator Monitoring Scheme (2025). Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb
license: no limitations
license: This resource is available under the terms of the Open Government Licence
distribution: Download the data
distribution: Supporting information
data quality: Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects. One km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month. Data is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way. The data is then passed through a QA process in R (code available in the metadata) to detect and resolve any errors in the dataset, or highlight where the methodology was not followed. Martin Harvey is the PoMS co-ordinator at UKCEH and the first point of contact for queries via the poms@ceh.ac.uk email. Claire Carvell is the project manager for PoMS, also based at UKCEH Wallingford and responsible for strategic direction, overseeing delivery of the surveys, data management and reporting, and liaising with JNCC and other partners. Nadine Mitschunas leads the field team with Chris Andrews and Angus Garbutt, and Francesca Mancini leads on statistical analysis of PoMS data, with Robin Hutchinson worki…

Atmospheric Conditions
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Environmental Monitoring Facilities
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Energy Resources
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Hydrography
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Species Distribution
type: Concept
in scheme: GEMET - INSPIRE themes, version 1.0

Download the data
type: Distribution
access URL: https://data-package.ceh.ac.uk/data/acae99ba-b088-4544-9c48-71d70498c16f
access URL: https://data-package.ceh.ac.uk/data/59422890-c8d3-49b8-b17e-4f5062475140
access URL: https://data-package.ceh.ac.uk/data/1a1000a8-4e7e-4851-8784-94c7ba3e164f
access URL: https://data-package.ceh.ac.uk/data/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9
access URL: https://data-package.ceh.ac.uk/data/7c1dd26a-5df5-4b90-854b-70d0d97eb78a
access URL: https://data-package.ceh.ac.uk/data/def51d3d-d653-40ca-8231-a238b0c66975
access URL: https://data-package.ceh.ac.uk/data/8df65124-68e9-4c68-8659-1c6b82c735e9
access URL: https://data-package.ceh.ac.uk/data/f969f92f-baa6-4621-bf27-ea29409f16d0
access URL: https://data-package.ceh.ac.uk/data/699f2172-88c1-44b7-a8f5-a22296a9e2cb

Supporting information
type: Distribution
access URL: https://data-package.ceh.ac.uk/sd/acae99ba-b088-4544-9c48-71d70498c16f.zip
access URL: https://data-package.ceh.ac.uk/sd/59422890-c8d3-49b8-b17e-4f5062475140.zip
access URL: https://data-package.ceh.ac.uk/sd/1a1000a8-4e7e-4851-8784-94c7ba3e164f.zip
access URL: https://data-package.ceh.ac.uk/sd/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9.zip
access URL: https://data-package.ceh.ac.uk/sd/7c1dd26a-5df5-4b90-854b-70d0d97eb78a.zip
access URL: https://data-package.ceh.ac.uk/sd/def51d3d-d653-40ca-8231-a238b0c66975.zip
access URL: https://data-package.ceh.ac.uk/sd/8df65124-68e9-4c68-8659-1c6b82c735e9.zip
access URL: https://data-package.ceh.ac.uk/sd/f969f92f-baa6-4621-bf27-ea29409f16d0.zip
access URL: https://data-package.ceh.ac.uk/sd/699f2172-88c1-44b7-a8f5-a22296a9e2cb.zip

Web Map Service (WMS)
type: Distribution
access URL: https://catalogue.ceh.ac.uk/maps/7bacc94a-3a37-4918-a43b-977678bff8f5

Open University
type: Organization

NERC EDS Environmental Information Data Centre
type: Organization

Institute of Terrestrial Ecology
type: Organization

Forest Research
type: Organization

University College Dublin
type: Organization

Bangor University
type: Organization

Universidade Estadual Paulista
type: Organization

Unaffiliated
type: Organization

Conservation International Madagascar
type: Organization

Centre for Ecology & Hydrolgy
type: Organization

Joint Nature Conservation Committee
type: Organization
member: EMAIL NOT PROVIDED

Barr, C.J.
type: Agent

Rossi, L.C.
type: Agent

Seixas, M.M.M.
type: Agent

Barlow, J.
type: Agent

Tabor, K.
type: Agent

Rasolohery, A.
type: Agent

Ramanahadray, S.
type: Agent

Rambeloson, A.
type: Agent

UK Pollinator Monitoring Scheme
type: Agent

Download the data
type: Distribution
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access URL: https://data-package.ceh.ac.uk/data/7e3b5549-881f-47ea-b003-08542bf6193e

Supporting information
access URL: https://data-package.ceh.ac.uk/sd/7e3b5549-881f-47ea-b003-08542bf6193e.zip

Instituto Nacional de Pesquisas da Amazônia

NERC EDS Environmental Information Data Centre

Wood PLC

Environment Information Services

King's College

Wickenden, A.R.

Hampton, J.M.

Mitchell, B.

Edwardes, A.

Mullin, K.

Haughton, G.

Thurston, N.

Pola, I.

Sinclair, G.

Sinclair, M.R.

Shaw, J.

Ford, H.

Land Use
in scheme: GEMET - INSPIRE themes, version 1.0

Land Cover
in scheme: GEMET - INSPIRE themes, version 1.0

Habitats and Biotopes
in scheme: GEMET - INSPIRE themes, version 1.0

Supporting information
access URL: https://data-package.ceh.ac.uk/sd/fbcfc877-a38e-4c26-8d8b-7226392493db.zip

Download the data
access URL: https://data-package.ceh.ac.uk/data/fbcfc877-a38e-4c26-8d8b-7226392493db

Supporting information
access URL: https://data-package.ceh.ac.uk/sd/03940756-afe9-428b-8c69-275e6b889251.zip

Download the data
access URL: https://data-package.ceh.ac.uk/data/03940756-afe9-428b-8c69-275e6b889251

Download the data
access URL: https://data-package.ceh.ac.uk/data/7e3b5549-881f-47ea-b003-08542bf6193e

Supporting information
access URL: https://data-package.ceh.ac.uk/sd/7e3b5549-881f-47ea-b003-08542bf6193e.zip

Instituto Nacional de Pesquisas da Amazônia

NERC EDS Environmental Information Data Centre

Wood PLC

Environment Information Services

King's College

Wickenden, A.R.

Hampton, J.M.

Mitchell, B.

Edwardes, A.

Mullin, K.

Haughton, G.

Thurston, N.

Pola, I.

Sinclair, G.

Sinclair, M.R.

Shaw, J.

Ford, H.