AndreaBozzo/ceres-open-data-index huggingface dataset:
Micro-organic herbicides data from rivers [LOIS]

Micro-organic herbicide levels in river water for various sites within the Humber and Tweed catchments collected as part of the Land Ocean Interaction Study project (LOIS). The dataset contains data for Phenyl urea and Phenoxy acid herbicides, measured as 2,4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Chlorotoluron dissolved, Diuron dissolved, Isoproturon dissolved, Linuron dissolved, Mecoprop dissolved. Phenyl urea herbicide data is available for twelve sites in the Humber catchment within 1994 to 1995 and 1994 to 1997 and for three sites on the Tweed catchment within 1995. Phenoxy acid herbicide data is available for six sites (S1, U3, N4, W5 and O6) over the period December 1994 to September 1995, for 7 sites (S2, D7, A8, C9, D10, T11 and O12) over the period December 1994 to February 1997 and 3 sites (TW13, TW14 and TW15) over the period January 1995 to September 1995. Attempts were made to sample the sites at weekly intervals. However sampling was halted for short periods when it was not possible to process the samples quickly. Linuron dissolved was only measured from April 1994 - October 1994. Samples were collected in chromic acid-washed 1 litre glass bottles. Herbicide levels were concentrated before being measured using High Performance Liquid Chromatography for Phenyl urea herbicides and Gas Chromatography for Phenoxy acid herbicides. Until November 1994, analysis was completed by the York University and the Institute for Freshwater Ecology, Wareham, laboratories. From December 1994 onwards the samples were dispatched to the Institute for Hydrology, Wallingford, for extraction and analyses. Full details about this dataset can be found at https://doi.org/10.5285/e28ffc01-880d-423f-acb6-879b9fd4603a

Tags: 2-4-Dichlorophenoxyacetic acid, 4-(4-Chloro-O-tolyloxy) butyric acid, 4-Chloro-O-tolyloxyacetic acid, Aire, Calder, Chlorotoluron, Derwent, Diuron, Environmental Monitoring Facilities, Humber, Isoproturon, LOIS, Land Ocean Interaction Study, Linuron, Mecoprop, Nidd, Ouse, Phenoxy acid, Phenyl urea, Swale, Trent
Organization: Environmental Information Data Centre
Soil erosion assessment data from the Environment and Rural Affairs Monitoring & Evaluation Programme, Wales, 2021-2023

This dataset consists of polygon and polyline layers containing categorised soil erosion and disturbance features collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2023. Data include extent and categorised type of soil erosion and disturbance (SED) features from a desk-based survey of aerial imagery and mapped by field surveyors between 2021-2023. This dataset also includes a raster map of the primary groups of controls on SED feature density in Wales. ERAMMP NFS is a resurvey of all of the 300 locations from the initial Glastir Monitoring and Evaluation Programme (GMEP) monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. SED features were identified from aerial images of 261 squares. Between 2021-2023 ERAMMP NFS field surveyors surveyed zones within 225 squares for SED features. The initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and 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/b7003a63-dc97-4044-9201-ccc5d8deffa6

Tags: Environment and Rural Affairs Monitoring & Modelli, soil disturbance
Organization: Environmental Information Data Centre
Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)

Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover. Scenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde. Afforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use. By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated. This dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1). Full details about this dataset can be found at https://doi.org/10.5285/f484ff54-9139-462e-b37a-347a69f78500

Tags: Avon, CHESS-land, Clyde, Dee, Derwent, JULES, Land Cover, Ouse, Ribble, Severn at Bewdley, Severn at Haw Bridge, Tamar, Tay, Thames, Ure, scenario
Organization: Environmental Information Data Centre
Plant aboveground net primary productivity estimates (2021) and litter layer depth measurements (2018-2019) at five long-term grassland-to-woodland land use contrasts across England

This dataset contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer depth was measured between November 2018 and March 2019 . Leaves were sampled for ANPP estimates in 2021. Each land use contrast was assigned a grassland and a woodland plot respectively. Each of these plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five land use contrasts were: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. ANPP (g dry mass m-2 yr-1) was estimated from measured leaf dry matter content of the two dominant species in each grassland and woodland plot. Litter layer depth (cm) was measured with a ruler in the field. ANPP estimates and litter layer depth measurements in this dataset are co-located with soil physical, chemical and biological properties (0-1 m), soil hydraulic measurements (soil water release curves and hydraulic conductivity), and earthworm counts and identification. A file is provided to connect all co-located measurements. This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/9156d263-4def-406d-bdc9-22a6821fe755

Tags: SOC-D, Soil, UK-SCAPE, aboveground net primary productivity, grassland, litter layer depth, woodland
Organization: Environmental Information Data Centre
Ensemble outputs from Ecosystem Service models for water supply, aboveground carbon storage and use of water, grazing, charcoal and firewood by beneficiaries in sub-Saharan Africa

This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically supplied as polygons. Individual model outputs are taken from previously published research. Making ensembles results in a smoothing effect whereby the individual model uncertainties are cancelled out and a signal of interest is more likely to emerge. Included ecosystem service models were: InVEST, Co$ting Nature, WaterWorld, Monetary value benefits transfer, LPJ-GUESS and Scholes models. Ensemble outputs have been normalised, therefore these ensembles project relative levels of service across the full area and can be used, for example, for optimisation or assignment of most important or sensitive areas. The work was completed under the "EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models" project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f

Tags: Africa, ensemble modelling, non-timber forest products, poverty alleviation
Organization: Environmental Information Data Centre
Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016

Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. All carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH. PhD funding from The Vincent Wildlife Trust and the University of Exeter. Full details about this dataset can be found at https://doi.org/10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c

Tags: Environmental Monitoring Facilities, European polecat, black polecat, forest polecat
Organization: Environmental Information Data Centre
Historic grassland survey data with contemporary spatial habitat data for semi-natural grasslands across England

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset compares historic grassland survey data with contemporary spatial data of habitats in England. The NVC community and grassland type were determined for 848 quadrats surveyed at grassland sites in England between 1960 and 1981. A 100m buffer was generated around each individual quadrat which matched the spatial accuracy (±100m) of the quadrat location, to represent a grassland site. These sites were intersected with Natural England's Priority Habitats' Inventory in ArcGIS, to indicate the percentage cover of priority habitats found at the grassland sites in 2013. Full details about this dataset can be found at https://doi.org/10.5285/1fb2cda3-cb49-414f-ad84-4a2f88ecce15

Tags: GIS, Habitats and Biotopes, Improved grassland, SSSI, semi-natural
Organization: Environmental Information Data Centre
Bed level change within the Tollesbury managed realignment site, Blackwater estuary, Essex, UK between 1995 and 2007

Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. Measurements were made to the nearest millimetre using a ruler. All measurements were made by the data author. Data from the original transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. Extra transects were added in April 1999 and data collected at the same frequency. The data were collected investigate if the exposure of the agricultural land to seawater would result in the accumulation of silt. The work was funded by the Department for Environment Food & Rural Affairs (Defra) under the Centre for Ecology & Hydrology (CEH) contract C00356 Full details about this dataset can be found at https://doi.org/10.5285/f9513ece-a913-4774-8808-273dcf7ed0be

Tags: Bed Level, Environmental Monitoring Facilities, Managed realignment
Organization: Environmental Information Data Centre
Global greenhouse gas emissions associated with the production of crop and livestock products at 5 arc minutes resolution, 1997-2003 v2

The greenhouse gas (GHG) emission represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. peatland drainage and methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine ('BV') meat and milk, small ruminant (sheep and goat, 'SG') meat and milk, pig (PG) meat, poultry (chicken, ducks, 'PT') meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period around year 2000. The greenhouse gas (GHG) emission represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of 172 cultivated crops, considering the following processes: application of manure and synthetic fertiliser on cropland, peatland drainage, and methane from rice cultivation. Full details about this dataset can be found at https://doi.org/10.5285/ccbd5c0b-21b2-40ce-bafd-6ccea4a270a4

Tags: Production and Industrial Facilities, farming
Organization: Environmental Information Data Centre
Spatial risk analysis for Phytophthora pluvialis infection of Douglas fir and western hemlock in Scotland

This dataset maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Fragment risk scores integrate climate suitability and proximity to other fragments/infected sites, recent planting of these hosts (forestry grant schemes), inspected premises and water courses. Infections of P. pluvialis have been reported on Douglas fir and Western hemlock in Cornwall, Devon, Cumbria, Wales and Scotland since the outbreak was first detected in 2021. Outside of the UK, pine species (Pinus radiata, P. strobus, P. patula) are also susceptible to the pathogen. The scored fragment data were intersected with the boundaries of conservancies, local authorities and active P. pluvialis demarcated areas to summarise the distribution of risks across regions in Scotland. Full details about this dataset can be found at https://doi.org/10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507

Tags: Douglas fir, Habitats and Biotopes, Scotland, western hemlock
Organization: Environmental Information Data Centre
Soil respiration data from Climoor fieldsite in Clocaenog Forest

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil respiration data from the Climoor fieldsite in Clocaenog forest, north-east Wales. Measurements began in March 1999 at the field site, and were repeated in approximately bi-weekly intervals until Oct 2013 (although there are some larger gaps for technical or logistical reasons in this 14 year dataset). The data were collected using 3 different methods/machines over the years: static chambers, soil respiration chamber and EGM-4 (from PP Systems), and soil respiration chamber and Li8100 (from Licor Biosciences). The method used is detailed in the data and described further in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/49a26df5-6b50-41f2-8d3a-c235eedc5cd1

Tags: Environmental Monitoring Facilities, soil respiration
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2019

This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to the present year), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species). Trends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. Trends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), 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. #Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species. Full details about this dataset can be found at https://doi.org/10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4

Tags: Environmental Monitoring Facilities, UK-SCAPE
Organization: Environmental Information Data Centre
Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar v2

Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220/1. Full details about this dataset can be found at https://doi.org/10.5285/efa10c00-d43a-4c94-b2f9-0708755e7d80

Tags: Corridor Ankeniheny Zahamena (CAZ), Eastern humid region, Ecosystem Services for Poverty Alleviation (ESPA), core, wood specific gravity
Organization: Environmental Information Data Centre
DNA metabarcoding, plant community and soil environmental data from a 15-month DNA application experiment in southern Iceland, June 2023-October 2024

The datasets originate from a field experiment designed to assess the mobility and longevity of DNA in a soil environment. We applied radish DNA - in the form of leaves (solid treatment) and PCR product (liquid treatment) to experimental plots in southern Iceland. We sampled the soil from different depths under the plots over a period of 15 months, looking for traces of radish DNA. The dataset encompasses 1) DNA metabarcoding data (plants) derived from soil samples; 2) a survey of extant plant communities; 3) a record of near-surface soil temperatures for the duration of the experiment; and 4) data quantifying the decomposition of radish leaves applied to the plots. The radish DNA was applied to six experimental plots in June 2023; soil samples were collected from below the plots in May 2024 (M24) and October 2024 (O24). DNA extraction and PCR was conducted by Dr Doreen Huang (University of Southampton). DNA from the soil samples was sequenced by a commercial third party (Novogene). Full details about this dataset can be found at https://doi.org/10.5285/7c6cbb74-96ad-4269-bad7-51025963ef23

Tags: Decomposition experiment, Environmental DNA, Iceland, Palaeoenvironmental reconstruction, Soil, Soil moisture
Organization: Environmental Information Data Centre
Plant biodiversity data and environmental and spatial data from Jebel Ichkeul, a limestone mountain in northern Tunisia (1983)

Records for herbaceous and woody plants at 78 nested quadrats on a limestone mountain (Jebel Ichkeul) in Le Parc National de L’Ichkeul are presented. Data for plants represent percent cover (Braun-Blanquet scale), to identify environmental gradients and investigate phytosociology of plant communities. Environmental variables are also presented: altitude, slope, aspect, rock out cropping, index of grazing intensity (78 sites) and olive tree densities by size class (69 sites). Soil pH was collected for 50 sites. Plant surveys were done June to August 1983 by Dr. D.A. Kirk as part of his Master’s thesis degree in Conservation at University College London (1983). This work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/4e36cdfa-0281-423f-99a8-e7c331b2e0d1

Tags: Beta diversity, Jebel Ichkeul, Le Parc National de L’Ichkeul , Mediterranean maquis vegetation, North Africa, Tunisia, conservation management, goat grazing, homogenization
Organization: Environmental Information Data Centre
Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012)

[THIS DATASET HAS BEEN WITHDRAWN]. Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476). Full details about this dataset can be found at https://doi.org/10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3

Tags: Air pollution, Environmental Monitoring Facilities, Maize, Rice, Soybean, Wheat, Yield loss
Organization: Environmental Information Data Centre