AndreaBozzo/ceres-open-data-index huggingface dataset:
Land Cover Map 2007 (1km raster dominant aggregate class, N. Ireland)

[THIS DATASET HAS BEEN WITHDRAWN]. Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of 1km raster, dominant aggregate class (aggregation of Target Classes). Northern Ireland only. Full details about this dataset can be found at https://doi.org/10.5285/ef1cbd8a-9c8e-4ddc-90e6-360b1c7cae50

Tags: CEH Biodiversity Programme, CEH Project NEC03259, LCM2007, Land Cover
Organization: Environmental Information Data Centre
Bird and butterfly abundance from consistently surveyed agri-environmental monitoring transects at Hillesden, UK, 2006-2017

This dataset contains bird and butterfly abundance data from field-surveyed transects at Hillesden, UK (2006-2017). Over this time period, Hillesden hosted two five-year experimental manipulations of agri-environmental habitats, alongside monitoring of their impacts on biodiversity and agronomic indicators. This dataset contains data suitable for analysis of ten-year interannual population trends across both 5-year phases of experimental work at Hillesden, and subsequent comparison with equivalent trends derived from equivalent national recording schemes (Breeding Bird Survey (BBS) for birds, Wider Countryside Butterfly Monitoring Scheme (WCBMS) for butterflies). The data thus relate only to transects which were recorded consistently (nine for birds, seven for butterflies), and to species that were present on the majority of transects. This dataset thus represents a subset from the whole Hillesden biological survey dataset for these two groups, and contains maximum annual counts per transect, across monthly visits (April-August) within the permitted time frame from equivalent national recording schemes (BBS for birds, WCBMS for butterflies). Data were collected as part of a project led by the UK Centre for Ecology and Hydrology, funded by Defra, with analytical work funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 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/c8d0ac67-6d47-42b1-af29-2339be8a5d82

Tags: AES, Agri-environment, Environmental Monitoring Facilities, Hillesden, monitoring , population trends
Organization: Environmental Information Data Centre
Woody habitat corridor data in South West England

This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels). The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes. Full details about this dataset can be found at https://doi.org/10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f

Tags: Land Cover, NEC05019, Tellus South West Project
Organization: Environmental Information Data Centre
Hourly relative humidity data from automatic water monitoring buoy from Blelham Tarn 2012 to 2019

Data comprise relative humidity measured at an automatic monitoring buoy located in Blelham Tarn, UK. Data are provided from January 2012 to December 2019. Hourly averages are given, calculated from measurements taken every four minutes. All data is given in GMT (Greenwich Mean Time). 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/10.5285/3df05e85-2c56-4bd9-9918-44b760e20b2e

Tags: Above lake relative humidity, Atmospheric Conditions, Blelham Tarn, Lake District National Park, UK-SCAPE, hourly data
Organization: Environmental Information Data Centre
Behavioural responses of moths to different lighting environments, Penryn, Cornwall, UK, March-October 2024

This dataset contains the behavioural responses of moths to different lighting environments around the University of Exeter's Penryn campus, in Penryn, Cornwall, UK. The fieldwork experiments were carried out from March to October 2024. Moths were captured and then released in different lighting environments. From each release the time to move, type of movement and direction of movement was recorded. Through the analysis of the behavioural responses in variable lighting environments, we can gauge the impact of their variation on moth behaviour. The fieldwork was carried out by Maisy Inston, Charlie Rayner and Jon Bennie. Analysis was performed by Maisy Inston and Charlie Rayner. Full details about this dataset can be found at https://doi.org/10.5285/009e67a1-f2e8-4ae6-a7e2-b1a99e4b3ca1

Tags: Habitats and Biotopes
Organization: Environmental Information Data Centre
Landscape linear feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

This data set consists of measurements of lengths of linear landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as lengths of features such as hedges ('woody linear features'), fences, walls, banks and streams, with associated species and condition measures where applicable. Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained linear features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/f481c6bf-5774-4df8-8776-c4d7bf059d40

Tags: Environmental Monitoring Facilities, Glastir Monitoring and Evaluation Programme (GMEP)
Organization: Environmental Information Data Centre
Land Cover Map 2022 (10m classified pixels, N. Ireland)

This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/c2d1e87f-1fa8-4421-82a7-df960b4b5821

Tags: Biodiversity Action Plan, Habitat, Land Cover, Map, Northern Ireland
Organization: Environmental Information Data Centre
Multi-hazard disaster impact analysis outputs from synthetic future urban scenarios in 10 cities

This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. Study areas include Istanbul (Türkiye), Nablus (Palestine), Chattogram (Bangladesh), Cox's Bazaar (Bangladesh), Nairobi (Kenya), Nakuru (Kenya), Quito (Ecuador), Kokhana (Nepal), Rapti (Nepal) and Darussalam (Tanzania). The data quantify the physical, social, and economic risks resulting from seismic activity or floods or landslides interacting with projected land-use plans and building typologies. Key components of the dataset include attributes on damage states for each building and eight metrics related to socio-demographic characteristics: - Number of workers unemployed, - Number of children with no Access to education - Number of households with no Access to hospital - Number of individuals with no Access to hospital - Number of households displaced - Number of homeless individuals - Population displacement - Number of casualties Details on the computation of each metric is provided in the readme file. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1). Full details about this dataset can be found at https://doi.org/10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83

Tags: GCRF Urban Disaster Risk Hub, Tomorrow's Cities
Organization: Environmental Information Data Centre
Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019

The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera). This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. Working in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed. The Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. Full details about this dataset can be found at https://doi.org/10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5

Tags: Assist, DNA Metabarcoding, Environmental Monitoring Facilities, Forage plants, Honey, National Honey Monitoring Scheme, United Kingdom
Organization: Environmental Information Data Centre
Habitat, vegetation, soil, tree and regeneration data from native pinewoods in Scotland, 1973

This is a set of data arising from a detailed ecological survey of plots within a selected number of native Scots Pine woodlands within Scotland. Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardised procedures and coding systems. Additionally, regeneration data were collected from each site. In all, 7 woods from throughout Scotland were identified for survey; these were a subset of 27 pinewoods surveyed previously using similar methods, in 1971. The survey was carried out in 1973 by the Nature Conservancy, a forerunner of the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/b2a70d49-893a-406c-802f-1a979eb5013b

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013)

This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345

Tags: Dynamic Drivers of Disease in Africa Consortium (D, Luangwa Valley
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) percentage cover of plant species on salt marsh sites at Morecambe Bay and Essex

The dataset comprises of percentage plant cover by species observed by eye in a 1metre (m) x 1m quadrat. Measurements were recorded at six salt marsh sites at four spatial scales: 1 metre (m) (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 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. Plant cover was measured during the winter and summer of 2013 for all six sites. 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/10.5285/90bdf4ff-03d9-4aa4-bcad-5139863ab188

Tags: BESS (Biodiversity and Ecosystem Service Sustainab, CBESS (Coastal Biodiversity and Ecosystem Service , Habitats and Biotopes, plant cover
Organization: Environmental Information Data Centre
Topsoil physico-chemical properties from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2023

This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content, gravimetric water content, and soil group. ERAMMP is a resurvey of the 300 locations from the initial monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023, ERAMMP resurveyed 224 of those 300 were resurveyed for soil monitoring. The GMEP project was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales and was managed by the UK Centre for Ecology & Hydrology (UKCEH). Full details about this dataset can be found at https://doi.org/10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121

Tags: Wales, derived carbon concentration, environmental survey, soil bulk density of fine earth,  SOC,  fine earth volumetric water content
Organization: Environmental Information Data Centre
Plant biomass, soil conditions and stable isotope concentrations in soil, roots and shoots from a microcosm experiment [NERC Soil Biodiversity Programme]

Data collected include: plant (shoot and root) biomass, a range of soil conditions including mycorrhizal abundance, microbial biomass carbon & nitrogen, soil extractable ammonia, soil extractable nitrate, soil extractable phosphate, total nitrogen content of soil and the presence of selected mite and collembolan species, and measurements associated with stable isotopes (ratio of isotopes of nitrogen in soil, roots and shoots, total carbon content of roots and shoots, ratio of isotopes of carbon in roots, total nitrogen content of fumigated and non-fumigated acid traps, ratio of isotopes of nitrogen in fumigated and non-fumigated acid traps). These data were collected from a laboratory-based study that examined a range of soil properties to investigate the relationship between microarthropods and soil microbial properties and the short-term partitioning of a dual-labelled organic nitrogen source (glycine-2-13C-15N) between a grassland plant, Agrostis capillaris, and the soil microbial biomass, to determine how soil fauna and their diversity influence plant-microbial competition for organic N. The experiment was carried out at Lancaster University using soil from the NERC Soil Biodiversity site in Scotland. The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the programme, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/e3c79781-09af-4c4f-b6ad-b0bc323e203f

Tags: Environmental Monitoring Facilities, microarthropods, shoots, soil fauna, stable isotope concentrations
Organization: Environmental Information Data Centre
A database of radionuclide biological half-life values for wildlife

Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian). The compilation of values from a range of sources was conducted by an international working group under the auspices of an International Atomic Energy Agency programme. Full details about this dataset can be found at https://doi.org/10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d

Tags: Environmental Monitoring Facilities, biological, concentration, ecological, elimination, marine, radioecology, rate, ratio, terrestrial
Organization: Environmental Information Data Centre
Annual flow data of municipal organic waste and nutrients, Leicestershire, UK, 2019

This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019. Full details about this dataset can be found at https://doi.org/10.5285/df329c40-cd4d-48d9-90d7-968f69df2279

Tags: Human Health and Safety, Material Flow Analysis
Organization: Environmental Information Data Centre
Soil metagenomics data from woodland restoration sites in Central Scotland, 2021 and English Midlands, 2022

This dataset comprises Alpha diversity and functional metrics estimations of soil bacterial and fungal communities and soil chemical properties (pH and electrical conductivity) in samples collected from 60 broadleaved woodland restoration sites from Central Scotland (2021) and English Midlands (2022). A further six wildcard sites made up of ancient woodlands (2 in Scotland and 2 in England) and rewilding sites (2 in England) were visited, and soil samples collected using a 10cm soil corer. Information on site characteristics were collected, including age of the restoration site, former land-use and features of the surrounding landscape. DNA was extracted from the soil and sequenced for metagenomic analysis. Full details about this dataset can be found at https://doi.org/10.5285/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2

Tags: Soil, metagenomics
Organization: Environmental Information Data Centre
Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models

Data comprise concentration ratios for lead and 210Pb in terrestrial wildlife and plants, and residual maximum likelihood (REML) model values for taxons (order, family and genus). Pb was used as an example of the derivation and application of a REML model for terrestrial wildlife species. The model outputs consists of a mean value for each taxa on a common scale after REML adjustment (referred to as the ‘REML mean’) taking account of the random factor (i.e. site). The REML mean value represents a relative scaling value. Funding for preparing this data set was provided by the TREE project (http://www.ceh.ac.uk/tree) funded by the NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d

Tags: Achillia, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Snow Survey of Great Britain: transcribed data for Scotland, 1945 to 2007

This dataset comprises observations of snowline from the Snow Survey of Great Britain (SSGB) at 140 sites across Scotland . Daily observations were made between 1945 and 2007. Observations were made by a ground observer who looked out from a given location at 0900 GMT each day and noted the elevation at which snow cover was greater than 50%. The initial aim was to 'secure representative data relating to the occurrence of snow cover at different altitudes in the various upland districts over the period October to June'. The data were collated by the British Glaciological Society until 1954 and thereafter by the Met Office. It has been transcribed from paper records held in the Met Office archives in Edinburgh. Full details about this dataset can be found at https://doi.org/10.5285/caf989a5-82d7-4db7-b6ff-c0475fdae07e

Tags: Atmospheric Conditions, SSGB, Snow Survey of Great Britain
Organization: Environmental Information Data Centre