AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil carbon data in the Conwy catchment in North Wales 2014

The data consist of soil carbon in kilogrammes (kg) of carbon per metre squared. Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples were taken in the Conwy catchment in North West Wales. Samples were collected in the spring of 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model. This dataset is part of a data series where plant and soil measurements were collected together to increase our understanding of coupled aboveground and belowground processes. Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3

Tags: Conwy, Elementar Vario Cube Select, Environmental Monitoring Facilities, Macronutrients, North Wales, Soil, T2S, Turf2Surf, Van Walt percussion (Cobra TT) core
Organization: Environmental Information Data Centre
Water chemistry and organic matter composition in UK and Faroe Island surface waters, 2018-2020

The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. Full details about this dataset can be found at https://doi.org/10.5285/81893731-75e4-45f3-bd6a-098208cf818c

Tags: Environmental Monitoring Facilities, absorbance, elemental content, headwater, peat pool, stream, water chemistry
Organization: Environmental Information Data Centre
Invertebrate pests, natural enemies, pollinators, pest damage and yields associated with different understorey treatments in an agroforestry system, Nottinghamshire, UK, 2020

This resource comprises abundance data for invertebrates, pest damage to apples, and yields from an agroforestry system subject to two different understorey management treatments, comprising an unmown flowering understorey and a mown understorey. The data was collected from an intercropped apple-arable agroforestry site in Screveton, Nottinghamshire, UK, from five experimental blocks, each block split between the two understorey management treatments. The data was collected between April and September 2020. Data was collected using (i) pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. The data was collected to compare the effect of understorey management in agroforestry on functional invertebrates and associated ecosystem services. All data was collected by Tom Staton (University of Reading). Three pitfall traps were damaged and are excluded from the dataset, comprising (i) Visit 1, Block 2, Mown treatment, Position 4; (ii) Visit 4, Block 2, Mown treatment, Position 3; and (iii) Visit 4, Block 3, Unmown treatment, Position 2. The research was funded under NERC grant NE/R012229/1 Quantitative and Modelling Skills in Ecology and Evolution (QMEE) CDT Full details about this dataset can be found at https://doi.org/10.5285/83a10b11-23ef-4378-a56d-c63cce365275

Tags:  flower strip, Environmental Monitoring Facilities, alley cropping, conservation biological control, invertebrates, natural pest control, pests, pollination, silvoarable, sustainable agriculture
Organization: Environmental Information Data Centre
Carbon dioxide, nitrous oxide and methane fluxes from winter wheat treated with organic and inorganic fertilisers, UK, 2022

This dataset contains 2-hourly observations of biogenic fluxes of carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) measured from a winter wheat crop grown on a mineral soil in the UK treated with different fertilisers. The treatments were: i) inorganic fertiliser; ii) pig slurry and inorganic fertiliser; and iii) pig slurry treated with plasma-induction and inorganic fertiliser. Fluxes of biogenic greenhouse gases (GHGs) were measured over an 83-day period (20/03/2022-13/06/2022) within the winter wheat growing season using automated GHG flux chambers. Full details about this dataset can be found at https://doi.org/10.5285/4ed0023e-da9b-45a8-86de-3a371cc7dcc1

Tags: Automated chamber, Environmental Monitoring Facilities, nitrous oxide, pig slurry
Organization: Environmental Information Data Centre
Life history, developmental and morphometric data for individual flies from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster)

Data on developmental time, fecundity, morphometrics, experimental treatment, mating and sampling from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster). Full details about this dataset can be found at https://doi.org/10.5285/90dee4ce-187c-4094-8895-b079d29922f5

Tags: Drosophila melanogaster, Habitats and Biotopes, evolution of ageing, fecundity-longevity relationship, life history, senescence
Organization: Environmental Information Data Centre
Wildlife camera trap photographs from the Chornobyl Exclusion Zone, Ukraine (June 2020 - November 2020) following extensive wildfires

The data presented here comprise a catalogue of 61736 camera trap images obtained during the period June - November 2020 (this period is described within the dataset as 'setup 1'). Following the explosion at the Chornobyl nuclear power plant in April 1986, a 5000 km2 exclusion zone surrounding the plant was created; people and farm animals were subsequently evacuated from the area. In April 2020 there were severe wildfires within the Ukrainian part of the exclusion zone (2600 km2) where approximately 870 km2 was burnt. The NERC-funded CHAR project conducted a study which involved placing motion activated digital camera traps at three sites (each covering an area of 80 km2) within the Ukrainian exclusion zone from June 2020 - August 2021 to assess large mammal activity following the fire. Thirteen cameras were randomly located at each site; all camera deployment locations had been used in a previous study 2014-2015 (https://tree.ceh.ac.uk/content/chernobyl-webcams). All the images obtained during June - November 2020 are included as part of the dataset with the exception of those images containing people, vehicles or members of the CHAR research team setting up and servicing the cameras; these images have been catalogued but they are not included in the dataset to protect privacy. Information on camera deployment periods, site characteristics and descriptions of each camera location (e.g. geographic coordinates, estimates of ambient dose rate, description of animal trails or tracks and the extent of fire damage in vicinity of where the camera is mounted) have also been included as part of the dataset. Staff from the Chornobyl Center for Nuclear Safety deployed, maintained and downloaded information from the cameras and provided field notes and observations of habitat. UKCEH staff populated the dataset using the information provided. Full details about this dataset can be found at https://doi.org/10.5285/9bd7754d-ea87-4b35-bec1-f39d5cc76db6

Tags: Chernobyl, Chornobyl, Cs-137, Deposition, Dose rate, Environmental Monitoring Facilities, Motion activated camera trap, Sr-90, Wildfire
Organization: Environmental Information Data Centre
Grid-to-Grid model simulations of daily anthropogenically influenced river flows for England and natural flows for Great Britain, 1961-2021

The datasets provide Grid-to-Grid (G2G) hydrological model estimates of daily mean river flow (m3s-1) on a 1 km x 1 km grid. The river flows provided here are generated using the G2G model for Great Britain driven by observation-based meteorological data. They provide spatially consistent simulations of natural and anthropogenically influenced daily mean river flows. The natural flows are for the period 1st January 1961 to 31st December 2021, the observed-anthropogenically influenced flows are for 1st January 1999 to 31st December 2014 and the mean-anthropogenically influenced flows are for 1st January 1961 to 31st December 2021. The G2G hydrological model spatial river flow simulations are available as follows: (a) Natural river flows across the whole of Great Britain, excluding Orkney and Shetland islands (b) Anthropogenically influenced river flows across the whole of England Full details about this dataset can be found at https://doi.org/10.5285/d0588746-9632-4c75-94f2-67e20ba34cad

Tags: Hydrography, abstractions, anthropogenic influence, discharges, hands-off-flow, hydrology, river flows
Organization: Environmental Information Data Centre
Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100

The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to 2100. The work was supported by the Natural Environment Research Council (NE/P019455/1) Full details about this dataset can be found at https://doi.org/10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8

Tags: Soil, greenhouse gas removal, management, soil carbon
Organization: Environmental Information Data Centre
Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018

This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD), a Zoonotic disease. KFD is an “ecotonal” disease. Diverse forest-plantation mosaics, zone moist evergreen forest and plantation, and low coverage of dry deciduous forest will cause higher risks for KFD. Our LCLU product aimed to separate diverse forest types and plantation and we achieved high accuracy (>90%). The study covers Sindhudurg, Shivamogga, and Wayanad Western Ghats district which belong to Indian state Maharashtra, Karnataka, and Kerala respectively. Full details about this dataset can be found at https://doi.org/10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf

Organization: Environmental Information Data Centre
Botanical data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]

The data set comprises vegetation species and abundance information, surveyed using a 50 x 50 cm point quadrat, from a selection of the plots within an experimental site at Sourhope, Scotland. The surveys were carried out in the summers of 1998, 1999, 2000, 2001 and 2002. The data were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and 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 (Grid reference: NT8545019630). During the experiment, 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/c730867f-ffd7-4d2d-9dd0-e2f30a7dbbf6

Tags: Environmental Monitoring Facilities, NERC Soil Biodiversity Programme
Organization: Environmental Information Data Centre
Land Cover Map 2000 (1km dominant target class, N.Ireland)

This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. Each 1km pixel represents the dominant target class (or 'sub class') across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/e025d2f5-059c-41de-b856-202d8b2d4719

Tags: Habitats, Land Cover
Organization: Environmental Information Data Centre
Two-metre resolution land cover classification of the Akrotiri Peninsular, Cyprus from WorldView imagery 2018

This dataset contains land cover classification of the Akrotiri Peninsular of Cyprus, using WorldView Imagery at 2m resolution. Images from March 2018 and July 2018 were used. All the imagery was atmospherically corrected. The thematic detail of the map was generalised to the following main vegetation/cover types: bare, lake, temporary water, salt marsh, rush salt meadow, garrigue, sparse vegetation, grass, mixed woodland, Eucalyptus and Acacia. The cover classes salt marsh and rush salt meadow represent mosaics of vegetation communities. Due to Covid-19 restrictions, ground data collection was severely restricted, resulting in limited training and validation data. 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/10.5285/95ab2233-ed8d-4c32-b82c-ae282ba567f7

Tags: Akrotiri, Cyprus, Land Cover, Salt lake, UK-SCAPE
Organization: Environmental Information Data Centre
Headwater stream quality metrics from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

This data set consists of headwater stream quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, 'River Habitat Surveys', invertebrates, diatoms and site characteristics. Streams were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained stream 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 UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/e305fa80-3d38-4576-beef-f6546fad5d45

Tags: Agri-environment scheme, Environmental Monitoring Facilities, Glastir, Wales
Organization: Environmental Information Data Centre
Charcoal value chain in southern Mozambique

This dataset contains the transcripts of interviews on the current structure of the main charcoal supply chains from seven villages in the Mabalane district of Gaza province to Maputo, Mozambique. The seven villages were at different stages of the charcoal production process within similar soils, rainfall, and vegetation types. Semi-structured interviews and focus group discussions were conducted with key informants (e.g. village leaders, charcoal producers, wholesalers, truck drivers and forest officers), from May to October 2014. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/56bae7ce-4798-41a4-b702-2f847952f7ae

Tags: ACES, Ecosystem Services for Poverty Alleviation (ESPA)
Organization: Environmental Information Data Centre
European Monitoring and Evaluation Program Model (EMEP) daily atmospheric composition and flux output data over South Asia

[This dataset is embargoed until September 30, 2026]. This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the South Asia driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the South Asia on a 0.1° x 0.1° resolution grid for years 2015 and 2030. The EMEP model version used here is rv4.45, and the WRF model version is the 4.4.2. This work was carried out within the South Asian Nitrogen Hub funded by the UK Global Challenges Research Fund (GCRF) of UKRI administered by the Natural Environment Research Council (NERC) (NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/54511607-6cbf-424e-b352-c982de937d0a

Tags: EMEP, European Monitoring and Evaluation Programme, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: collated indices 2024

Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. 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/a70d8b0b-0ef5-484e-8195-42bcfd818229

Tags: BReVI, Environmental Monitoring Facilities, Lepidoptera, annual, butterflies
Organization: Environmental Information Data Centre
Soil profile descriptions from narrow diameter cores in UK saltmarshes collected between 2018 and 2021

The dataset details the soil profiles described from the narrow diameter cores collected from 474 sampling sites across UK saltmarshes collected between 2018 - 2021. The work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 Full details about this dataset can be found at https://doi.org/10.5285/55760544-b0a6-4845-a2e0-1cf533996c64

Tags: Bulk density, Carbon Storage in Intertidal Environments (C-SIDE), England, Scotland, Soil, UK, Wales, loss on ignition (LOI)
Organization: Environmental Information Data Centre
Model estimates of expected diversity of positive plant habitat condition indicators

This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data). Full details about this dataset can be found at https://doi.org/10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7

Tags: Broad Habitats, Common Standards Monitoring, Countryside Survey, Environmental Monitoring Facilities, Priority Habitats
Organization: Environmental Information Data Centre
Fine resolution land cover map of the Upper Welland Catchment, UK for 2018

This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use. Full details about this dataset can be found at https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af

Tags: Catchment Planning, Land Cover, Land cover map
Organization: Environmental Information Data Centre