AndreaBozzo/ceres-open-data-index huggingface dataset:
Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]

1km and 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. (1993). SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. Full details about this dataset can be found at https://doi.org/10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0

Tags: Meteorological geographical features, SPI, accumulation period, gridded data, indicator, rainfall extremes
Organization: Environmental Information Data Centre
Vyrnwy research catchment hydrochemistry

This dataset includes weekly data from monitoring of stream, rainfall and groundwater hydrochemistry in the Vyrnwy research catchment between 1994 and 2001. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water temperature. Full descriptions of the analytical methods used for each determinand is included. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research; other linked datasets include river flow, meteorology and a variety of detailed spatial datasets representing the topography, soils and rivers of the catchments. Monitoring is funded by the Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/68f4a12f-740d-4705-9c27-6a7fb7127046

Tags: Environmental Monitoring Facilities, Vyrnwy, rainfall, stream
Organization: Environmental Information Data Centre
Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities. This work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1]. Full details about this dataset can be found at https://doi.org/10.5285/9feab716-0642-4ab9-a363-d73d135a48b9

Tags: Environmental Monitoring Facilities, Malaysian Borneo, Sabah, bacteria, ectomycorrhizal, forest rehabilitation, forest restoration, fungi, selective logging, soil microbes, soil properties
Organization: Environmental Information Data Centre
Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2022

This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2022. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing 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/10.5285/6dd7ac13-c3e3-4156-a0d8-929227dbf9e8

Tags: Environmental Monitoring Facilities, UK-SCAPE, Water chemistry, Zooplankton
Organization: Environmental Information Data Centre
Land Cover Map 2020 (land parcels, N. Ireland)

This is the land parcel (polygon) dataset for the UKCEH Land Cover Map of 2020 (LCM2020) representing Northern Ireland. It describes Northern Ireland's land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation accompanying this dataset. LCM2020 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2020. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2020. These are one of a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps in 2000, 2007, 2015 and annually since 2017. 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/10.5285/36343ace-d56a-43ea-9d48-2f434dafcb26

Tags: Biodiversity Action Plan, Land Cover
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site location data 2018

This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites (a small number of pilot sites started from 1973). The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. 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. Full details about this dataset can be found at https://doi.org/10.5285/b321fa16-30fb-4ece-99cf-a9b921171fbf

Tags: Environmental Monitoring Facilities, UK-SCAPE
Organization: Environmental Information Data Centre
Tropical forest seedling trait data collected in Danum Valley, Sabah, Malaysia, in February 2020

This dataset includes values of 15 traits (total dry mass; root length to shoot length ratio; leaf mass fraction; root mass fraction; shoot mass fraction; leaf thickness; leaf force to punch; leaf area to shoot area ratio; leaf concentrations of N, P, K, Ca and Mg; leaf N: P concentration ratio; specific maximum root length) measured in February 2020 on 394 seedlings of 15 woody plant species growing in logged in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia. The purpose of this data collection was to determine whether the expression of plant functional traits differed between tree seedlings recruited into logged and unlogged forests. This information is important for understanding the drivers of variation in seedling growth and survival in response to logging disturbance, and to uncover the mechanisms giving rise to differentiation in tree seedling composition in response to logging. These data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1). Full details about this dataset can be found at https://doi.org/10.5285/e738e8af-554a-4940-bb56-267c7377d74d

Tags: dipterocarp, global change, logging, mast fruiting, plant functional trait, seedling
Organization: Environmental Information Data Centre
Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2018-2020

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2018 to 2020. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (Defra) contracts. Full details about this dataset can be found at https://doi.org/10.5285/4a5a9140-96f1-4aee-b547-ef570238fdbd

Tags: Atmospheric Conditions, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Plant structural measurements in North Wales and Northwest England 2013 and 2014

The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov), leaf dry matter content (LDMC), leaf mass area (LMA) and specific leaf area (SLA) were measured on the dominant plant species. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Plots within the sites were located using a stratified random sampling design. Plant trait values were taken from existing published databases or were directly measured in each plot for the two species contributing the highest percentage cover. NPP (grams of dry mass per square metre per year) was measured using a variety of methods according to the plant functional types present. SLA and LDMC was measured on site focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling. Leaf area was calculated based on scanned photographs analysed using Image J software v1.46r. Plant 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. 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/10.5285/8899768c-cc5a-4885-a88b-c08374ee568e

Tags: Catchment scale, Conwy Catchment , Habitats and Biotopes, Ingleborough, Land use intensification gradient, Macronutrient Cycling Programme (MCP), North Wales , North West England, Turf2Surf ( T2S), aboveground net primary productivity, leaf dry matter content, leaf mass area, specific leaf area
Organization: Environmental Information Data Centre
Daily micro-meteorological data from Climoor fieldsite in Clocaenog Forest

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, NE Wales. It runs from 15/7/1999 until 31/12/2013, and contains air temperature, soil temperature at 2 depths (5 and 20cm) as well as soil moisture. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Full details about this dataset can be found at https://doi.org/10.5285/4260dc49-764f-4ba5-b215-dab7eaaf35c8

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Nurdle characteristics with associated bacterial concentrations and virulence of Klebsiella isolates from Scottish beaches, 2022

This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles, as well as the salinity, electrical conductivity, turbidity, and polymer composition of the nurdles. In addition, an infection experiment was conducted to measure the virulence of the Klebsiella bacteria. Galleria melonella larvae were infected with the isolated Klebsiella bacteria and the number of living larvae was recorded. Full details about this dataset can be found at https://doi.org/10.5285/fdd72810-a57f-444f-83cf-f2351ef4c940

Tags: Environmental Monitoring Facilities, antimicrobial resistance, human pathogens, plastic pollution, plastisphere, public health, virulence
Organization: Environmental Information Data Centre
Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015)

This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here, the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. Each accumulation period is calculated for calendar end-months. The standard period used to fit the Tweedie distribution is 1961-2010. The SSI was produced by the RCUK-funded Historic Droughts project in order to characterise and explore hydrological drought severity over the period 1891-2015. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). Full details about this dataset can be found at https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9

Tags: Drought Catalogue, Drought Indicator, Drought Inventory, Historic Droughts, Hydrography, SSI, Standardised Streamflow Index
Organization: Environmental Information Data Centre
Land Cover Map 2000 (1km dominant aggregate 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 aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing 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/f6fc7bd4-6525-4850-b832-24b6c05b8074

Tags: Habitats, Land Cover
Organization: Environmental Information Data Centre
Urination data for Welsh Mountain ewes grazing upland and lowland pastures in North Wales, 2016

The data contains urination metrics including frequency, volume, chemical composition, estimated urine patch N loading rates and metabolomics profile of individual urine events from sheep (Welsh Mountain ewe) grazing a semi-improved upland pasture and a lowland improved pasture located in North Wales, UK. Urine collection studies were run in the spring, summer and autumn of 2016 for the semi-improved site and in autumn of 2016 on the lowland improved pasture. Sheep were housed in urine collection pens and while in the pens, each individual urine event was collected and stored separately. The study was conducted as a wider part of the NERC funded Uplands-N2O project (Grant No: NE/M015351/1). The frequency, volume and chemical composition of individual urine events has implications for nitrogen losses from the grazed pasture ecosystem, including emissions of the powerful greenhouse gas, nitrous oxide, and nitrate leaching. Full details about this dataset can be found at https://doi.org/10.5285/385ec5ab-0c47-46fc-b5df-008ca024296f

Tags: Habitats and Biotopes
Organization: Environmental Information Data Centre
210Pb-dated historical lake sediment metal concentrations from The Lake District, England (mid-19th century to 2016)

Measurements of sediment properties (incl. organic and carbonate content), radionuclides (210Pb, 137Cs, 241Am) and elements (including mercury, nickel, copper, zinc, and lead) in lake sediment successions. Radionuclide dating provides a reliable chronology of sediment ages from the mid-19th century (sometimes only 20th century) to the present (2016). The dataset comprises a standardised matrix of multiple measured sediment variables (element values per mass) against stratigraphic depth for 8 lakes. In these water bodies multiple core datasets exist, one collected from the littoral zone, one of intermediate depth and one from the deepest area. The deepest core was used for 210Pb dating. The intermediate and littoral depth cores are not dated, except at Esthwaite where the littoral core (29328_ESTH_LITT.csv) had been previously collected, 210Pb dated and measured for organic and carbonate content. Full details about this dataset can be found at https://doi.org/10.5285/87dec506-ca7f-4b57-a605-486ec9d8cca2

Tags: Soil, geochemistry, lead-210, legacy mine waste, trace metals
Organization: Environmental Information Data Centre
Driving data for the period 2000-2025 for running the JULES Land Surface Model over Kenya

This dataset contains remapped driving data for a rectangular domain covering Kenya for 2000-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files. Full details about this dataset can be found at https://doi.org/10.5285/b4987cff-1060-489c-948f-4c6885a93e4d

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Evaluation of national scale, long-distance connectivity (and its protection) in England’s priority habitat inventory - 2015 dataset

The results of an analysis of the connectivity of sixteen priority habitat networks in England using the Condatis methodology. The dataset includes conductance scores for each of the priority habitat networks (an overall assessment of how connected the habitat network is), the flow scores for each contiguous habitat patch within each of the habitat networks (the importance of that patch to connectivity), as well as details of protection. Additionally, the dataset includes data and scripts needed to run a demonstration Condatis analysis, and produced the figures used in Travers et al., 2021 (in prep.). Dispersal distances of 2, 4 and 8 km were used as inputs into Condatis. The outputs of connectivity assessments using those dispersal figures were geometrically averaged to provide results summing up the connectedness of a habitat network over a range of dispersal abilities. To determine how much connectivity (flow), and which patches were protected in each habitat network they were overlaid with SSSI and NNR spatial data. If more than 50% of a patch’s area was covered by a protected area it was determined to be protected. Full details about this dataset can be found at https://doi.org/10.5285/a715112e-08ae-4d6e-943a-77933fd5ddd1

Tags: Circuit theory, Condatis, Connectivity, Dispersal , Environmental Monitoring Facilities, National Nature Reserve (NNR), Range-shifts, Site of Special Scientific Interest (SSSI )
Organization: Environmental Information Data Centre
Hedgehog behaviour observations in response to light, Penryn, Cornwall, UK, May-November 2024

GPS data of tracks of a number of hedgehogs that were found around the University of Exeter Penryn campus, Penryn, Cornwall, UK. The tracks were recorded between May and November 2024. Hedgehog surveys were performed to find candidate hedgehogs. If the hedgehogs met strict guidelines, they were fitted with a GPS tracker then released. Ad libitum surveys were then performed to connect to the trackers and recover the data and, where possible, retrieve the trackers. By analysing the resulting tracks, in relation at artificial light at night (ALAN) present in the environment, we can gauge the impact of ALAN on hedgehog behaviour and habitat use. Maisy Inston and Charlie Rayner performed the hedgehog surveys and data retrieval, with assistance from other members of the project team. Full details about this dataset can be found at https://doi.org/10.5285/d2269ad4-6362-4885-84ce-4e401810fadc

Tags: Habitats and Biotopes, Penryn
Organization: Environmental Information Data Centre