AndreaBozzo/ceres-open-data-index huggingface dataset:
Yorkshire Derwent catchment sediment fingerprinting of instream sediment and catchment soils

Sediment and soil samples were collected during a six-month project in 2018 looking at the sources of sediment within the River Derwent Catchment, Yorkshire, UK. The data shows the mineralogical composition of each sample site, processed using X-ray powder diffraction (XRD). The data has been used to understand where instream sediment in the River Derwent is coming from. This information can be used to inform catchment management. Full details about this dataset can be found at https://doi.org/10.5285/27a84ac6-c3fd-4c86-9540-f60b4dbfa14f

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Non-native plant species GIS data from Cyprus Sovereign Base Areas, October 2015 and March 2017

This dataset comprises forest stand and species occurrence data for a selection of non-native species collected in the UK Sovereign Base Areas (SBA) of Cyprus in October 2015 and March 2017, with a particular focus on the area surrounding Lake Akrotiri in the Western SBA. The main focus for mapping was stands of Acacia saligna, Casuarina cunninghamiana, the eucalypts Eucalyptus camaldulensis and E. gomphocephala, and the forb Symphyotrichum squamatum. The typical accuracy of data capture was around 10-15 m precision, varying according to the presence of forest canopy. Full details about this dataset can be found at https://doi.org/10.5285/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Woody landscape and habitat features from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2023

This dataset consists of records of woody landscape area, linear and point features such as areas of woody habitat, hedges, and trees and associated attributes from sites across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2023. Data include areas or lengths of features, with associated land use, species and condition measures where applicable. 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. Between 2021-2023 ERAMMP National Field Survey resurveyed 225 of those 300 for woody landscape 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/10.5285/88927fec-1dda-49b6-9014-3d142907085b

Tags: ERAMMP, Environment and Rural Affairs Monitoring & Modelli, Environmental Monitoring Facilities, Wales, broad habitat, hedgerows, hedges, landscape component, landscape features, priority habitat, trees, veteran trees, woody habitat
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) carabid beetle data: 1992-2012

[THIS DATASET HAS BEEN WITHDRAWN]. Carabid beetle data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected by pitfall traps at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1992 to 2012. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/4c9613ce-de52-41b1-9fde-7c41f9199686

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, NEC04638, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon
Organization: Environmental Information Data Centre
Physical and geochemical properties of saltmarsh soils from narrow diameter gouge cores in UK saltmarshes collected between 2018 and 2021

The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides a quantitative measure of soil dry bulk density and organic carbon content across varies substrate and marsh types. 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/d301c5f5-77f5-41ba-934e-a80e1293d4cd

Tags: C-SIDE, England, Habitats and Biotopes, Scotland, United Kingdom, Wales, cores, dry bulk density, substrate
Organization: Environmental Information Data Centre
Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production

This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural non-material service Recreation. For water, the data comes as one shapefile with polygons per watershed, each polygon containing seven ensemble estimates. The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. 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, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST). Full details about this dataset can be found at https://doi.org/10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86

Tags: Carbon stocks, Ensemble modelling, Environmental Monitoring Facilities, Fuelwood, Global maps, Land Use, Weighted averaging
Organization: Environmental Information Data Centre
Data from automatic water monitoring buoy from Blelham Tarn, 2012 to 2015

This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail. Full details about this dataset can be found at https://doi.org/10.5285/8eab30af-25b4-4ac2-a470-411df9749464

Tags: Environmental Monitoring Facilities, Lake District , freshwater, lake , meteorological data, temperature profile 
Organization: Environmental Information Data Centre
Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018

Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end product was validated using field data which resulted in user and producer accuracies. Monthly surface water body layers were not produced for a few months due to the non-availability of Sentinel 1 data. The work was supported by MRC, AHRC, BBSRC, ESRC and NERC [grant number MR/P024335/1] and NERC - SUNRISE project [grant number NE/R000131/1] Full details about this dataset can be found at https://doi.org/10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc

Tags: SAR, Sentinel 1, seasonal
Organization: Environmental Information Data Centre
Soil biological properties from a digestate experiment on winter wheat at North Wyke and Henfaes Farm, UK (2017)

The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017. The sites were Rothamsted Research at North Wyke in Devon and Bangor University at Henfaes Research Station in North Wales. At each site measurements were taken from 15 plots, organised within a randomised complete block design where 5 plots did not receive fertilizers (controls), 5 plots received food-based digestate, and 5 plots received acidified food based digestate a nitrification inhibitor. Soil samples were taken within two weeks of digestate application and shortly before winter wheat harvest. Soil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil samples were taken by members of staff from Centre of Ecology & Hydrology (Bangor), Bangor University, School of Environment, Natural Resources & Geography Sustainable Agricultural Sciences, and Rothamsted Research North Wyke. Measurements were carried out Rothamsted Research Harpenden and the Centre of Ecology & Hydrology (Wallingford). Soil physico-chemical parameters were measured on the same soil samples and are presented in a related dataset. https://catalogue.ceh.ac.uk/id/90df9dfa-a0c8-4ead-a13d-0a0a13cda7ab Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/391c0294-07f1-4856-b592-428bd44055ca

Tags: Environmental Monitoring Facilities, digestate, fertiliser, nitrogen, winter wheat
Organization: Environmental Information Data Centre
Global gridded monthly mean Leaf Area Index (LAI) for five Plant Functional Types (PFTs) derived from the Global LAnd Surface Satellite (GLASS) products for the period 2000-2014

A new monthly long term average (climatology) of Leaf Area Index (LAI) has been developed for use as ancillary data with the Joint UK Land Environment Simulator (JULES) Land Surface Model and the UK Met Office Unified Model. It is derived from an improved version of long time series of LAI from the original Global LAnd Surface Satellite (GLASS) products (http://www.glass.umd.edu/LAI/MODIS/0.05D/). The GLASS data consists of a time series of LAI from Moderate Resolution Imaging Spectroradiometer (MODIS) surface-reflectance data for the period 2000-2014. The MODIS data was provided in a spatial resolution of 1km in a sinusoidal projection and is interpolated into 0.5deg on a geographic latitude/longitude projection in this dataset. The total LAI from MODIS is segregated into five different Plant Functional Types (PFTs) using the fractional coverage of each PFT from the Climate Change Initiative (CCI) Land Cover data. For this reason this new LAI climatology should be used in combination with the CCI PFT data, which is also provided here. Two variables are provided with the dataset containing LAI, each covering the same spatial and time extent. The PFT data provided with this dataset covers a time span of only one year, 2010. - Leaf Area Index (LAI) - LAI is an important parameter in land-surface models, influencing the surface roughness, transpiration rate and the soil water content and temperature. Numerous outputs of vegetation models such as net primary productivity (NPP), evapotranspiration (ET), light absorption by plants (FAPAR), nutrient dynamics etc., are influenced by LAI where it is a key variable in energy and water balance calculations. - Vegetation Canopy Height (H) - H plays an important role in the interface between the atmosphere and land surface and it impacts weather and climate at local to global scales by modulating aerodynamic conductance and vegetation dynamics. Therefore, H is fundamentally needed for the calculation of turbulent exchanges of energy and mass between the atmosphere and the terrestrial ecosystem. One variable is provided with the dataset containing CCI PFTs: - Fractional coverage of 5 PFTS or vegetation classes and 4 land use classes – The 5 PFTs are Broad Leaf, Needle Leaf, C3 Grass, C4 Grass and Shrub. The 4 land use classes are Urban area, Inland Water, Bare Soil and Snow/Ice. Full details about this dataset can be found at https://doi.org/10.5285/6d07d60a-4cb9-44e4-be39-89ea40365236

Tags: Climatology, Environmental Monitoring Facilities, JULES, LAI, Leaf Area Index, MODIS, PFT, Plant Functional Type
Organization: Environmental Information Data Centre
Countryside Survey 2007 vegetation plot data

This dataset consists of plant species presence and abundance in different sizes and types of plots from 591 1km x 1km square sites surveyed across Great Britain in 2007. Many of the plots are repeated from surveys in 1978, 1990 and 1998. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc

Tags: Environmental Monitoring Facilities, Great Britain
Organization: Environmental Information Data Centre
Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution

This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil; flux rates of soil organic carbon via erosion (t SOC ha-1 yr-1); flux rates of soil nitrogen via erosion (t N ha-1 yr-1); and flux rates of soil phosphorous via erosion (t P ha-1 yr-1). The dataset comes in the form of three multi-band raster GeoTiff files, structured as follows: LC16_Results.tif: Model predictions generated under the 2016 Copernicus Land Cover Map at 30-metre resolution (five bands) Mitigation_scenarios.tif: Predicted reductions in erosion rates in the event of implementing mitigation scenarios described in sixteen different scenarios (sixteen bands). PNV_Results.tif: Same structure as LC16_Results.tif, but stores predictions generated under the Potential Natural Vegetation cover map for East Africa at 30-metre resolution (five bands) Full details about this dataset can be found at https://doi.org/10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be

Tags: Kenya, Land degradation, Soil erosion, Topsoil lifespans, Topsoil nutrient fluxes
Organization: Environmental Information Data Centre
Benthic biofilm chlorophyll a content and biomass data for 3 intensively studied Wessex chalkstream sites, England, UK

Chlorophyll-a content and ash-free dry mass of quantitative samples of the biofilm on benthic substrate from three chalkstream sites in the Wessex chalk area (Nine Mile River, River Till and River Wylye). Chlorophyll a content and biomass were determined from up to 10 replicate samples at each site on each sampling occasion. The data are presented as means with standard deviation. Data were collected on seven occasions on the Wylye and Nine Mile River and on five occasions on the Till, between October 2012 and October 2013. Data were collected to construct quantified food webs detailing the flux of mass and nutrients between nodes of the food web. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/64a8cef6-2d5b-452b-8f60-0cfa85ae51bc

Tags: Environmental Monitoring Facilities, Wessex BESS
Organization: Environmental Information Data Centre
Soil survey of Moor House, 1965

This dataset contains data from a soil survey at Moor House, Cumbria, UK undertaken by Mike Hornung in 1965 as part of his PhD. It contains information about the soil horizons, chemical analyses and soil mineralogy. Full details about this dataset can be found at https://doi.org/10.5285/e4cf73b0-eef6-4118-a018-40eb374f5de7

Tags: Soil
Organization: Environmental Information Data Centre
In situ seedling growth and survival of ectomycorrhizal and arbuscular trees in a subtropical forest in China

This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm). The dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). Study area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China. Full details about this dataset can be found at https://doi.org/10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16

Organization: Environmental Information Data Centre
Spatial and temporal water chemistry data and organic matter composition from UK surface waters, 2018-2021

This dataset contains water chemistry and organic matter composition variables. Water chemistry variables include pH, conductivity, dissolved oxygen, dissolved organic carbon, nutrients, anions, cations and metal concentrations. Organic matter composition variables include metrics calculated from carbon, nitrogen, hydrogen and oxygen concentrations. Water samples were collected from UK surface waters between 2018 and 2021. Water was collected from each site either annually, seasonally or monthly, to determine how organic matter varies over time and space. Site metadata include land use and vegetation cover, catchment area and percentage peat cover. Exact locations of sites are not included, and site names are anonymised. Full details about this dataset can be found at https://doi.org/10.5285/ada28810-040b-4fef-8669-b21bac64a10b

Tags: Environmental Monitoring Facilities, Organic matter, Peat
Organization: Environmental Information Data Centre
Historic reconstructions of daily river flow for 303 UK catchments (1891-2015)

This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA) (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK. These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). The data are provided in two formats to help the user account for uncertainty: (1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. (2) a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members. Full details about this dataset can be found at https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e

Tags: Discharge, Drought catalogue, Drought inventory, GR4J, Historic Droughts, Hydrography, Reconstructions, Uncertainty
Organization: Environmental Information Data Centre
Solute concentrations in water samples from clearfelled and standing Sitka spruce (Picea sitchensis) forest ecosystems, Kershope Forest

The dataset consists of solute concentrations (Potassium, Calcium, Magnesium, Iron, Sodium, Aluminium, Phosphate, Nitrate, Ammonium, Chlorine, Sulphate), also pH and suspended solids, in waters sampled from clear felled and standing Sitka spruce (Picea sitchensis) forest ecosystems in Kershope Forest, Cumbria, UK. Water samples were collected from the ecosystem of a Sitka spruce plantation at weekly intervals for six years. The drainage system of the site had been designed to divide the plantation into a series of artificial catchments, three of which were designated experimental plots and clearfelled in the second year of sampling while three others were the control plots which remained unfelled until the end of the study. This work formed part of a programme of field and laboratory work to determine the effects of felling plantation forest on soil processes. Samples were collected by staff from the Institute of Terrestrial Ecology (ITE) between 1981 and 1987. Full details about this dataset can be found at https://doi.org/10.5285/3f22ef89-22d3-4876-a99e-7ee28f775e0e

Tags: Environmental Monitoring Facilities, Kershope Forest, Sitka spruce
Organization: Environmental Information Data Centre