AndreaBozzo/ceres-open-data-index huggingface dataset:
Vegetation survey data from Climoor fieldsite in Clocaenog Forest 1999 - 2012

This dataset contains vegetation survey data from an upland heath site in the Clocaenog Forest. This was done by pin point methodology, and data includes both pin hits as well as measurements converted into plant biomass (grammes per square metre). Vegetation was surveyed in the experimental plots at the Climoor site in 1998, 1999, 2000, 2002, 2003, 2007, 2008, 2009, 2010, 2011 and 2012. The vegetation at the site is a typical UK upland heathland, dominated by Calluna vulgaris, with Vaccinium myrtillus and Empetrum nigrum also being present in the vegetation understory. In each year, measurements were taken at a time period of maximum growth, which was late August/early September. Individual species can be examined, as well as the different components of the higher plants (i.e. leaf, stem, flower). Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Full details about this dataset can be found at https://doi.org/10.5285/5b39a644-d614-4f2b-8df6-202ed440b4ab

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Grassland productivity data across a gradient of invasive Pinus contorta abundance, northwest Patagonia, Argentina, 2020

This dataset contains total green biomass, palatable green biomass, sheep stocking rate, Pinus contorta tree density, P. contorta basal area and percentage canopy cover in sites across northwest Patagonia, during the summer of 2020. We measured total green biomass in the peak production (kg /hectare/year), as a metric for aboveground annual productivity, in five different sites and for a wide range of P. contorta abundance. We also measured palatable green biomass (kg/hectare/year), considering only those plant species foraged by sheep. We calculated the sheep stocking rate that can sustainably support the grasslands of our study based on the feeding requirement of an Ovine Livestock Unit (OLU). The OLU represents a Merino wether (castrated male sheep) with an average live weight of 40 kg that consume 365 kg of dry forage in a year in Patagonia grasslands. We counted the number of P. contorta individuals to calculate density (trees/ha) and recorded their diameter at ground level to calculate basal area (m2/ha) (an alternative measure of P. contorta abundance). Additionally, on each subplot we took a hemispheric picture to estimate the canopy cover (%) of P. contorta (a third measure of P. contorta abundance). Full details about this dataset can be found at https://doi.org/10.5285/066b0d36-d28a-422e-b29a-298c98b8a536

Tags: Impact-based management, lodgepole pine, primary productivity, shore pine, tamarack pine, woody invasions
Organization: Environmental Information Data Centre
Gridded simulations of available precipitation (rainfall + snowmelt) for Great Britain, developed from observed data (1961-2018) and climate projections (1980-2080)

This dataset presents nationally consistent simulations of available precipitation (rainfall + snowmelt) for Great Britain. These include simulations driven by observational data covering January 1961 – December 2018 and simulations driven by Regional Climate Model (RCM) projections covering December 1980 - November 2080. Both are provided as gridded data at 1km resolution. The observed input data was HadUK-Grid 1km daily precipitation and temperature. The RCM input data was a 12-member perturbed parameter ensemble from the UK Climate Projections 2018 (UKCP18), provided at a ‘Regional’ 12km resolution aligned with the GB national grid. A simple snowmelt module was used to transform these time-series of precipitation and temperature into available precipitation. This data was developed for, and used within, the Enhanced Future Flows and Groundwater (eFLaG) project (Hannaford et al., 2022). The eFLaG project was established through a partnership project funded by the Met Office led component of the Strategic Priorities Fund Climate Resilience Programme under contract P107493 (CR19_4 UK Climate Resilience). Full details about this dataset can be found at https://doi.org/10.5285/755e0369-f8db-4550-aabe-3f9c9fbcb93d

Tags: England, Great Britain, Meteorological geographical features, Projections, Rainfall, Scotland, UKCP18, Wales
Organization: Environmental Information Data Centre
Farming household survey for the evaluation of nitrogen options for economic and social benefit in the eastern region of Bhutan, 2022

This dataset holds survey data of individual farming households in the Eastern region in Bhutan relating to their nitrogen use. The survey was conducted in 2022 and the questions covered two seasons (2022 and 2021 farming seasons) asked at a single visit in the 2022 season. The questions on the winter season were based on recall. The data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertiliser use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies. The data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. The data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. Full details about this dataset can be found at https://doi.org/10.5285/cd35ca67-8121-4a0d-81c9-c4a7fae25117

Tags: Bhutan, Environmental Monitoring Facilities, South Asia, decision making, gender, nitrogen use efficiency, water
Organization: Environmental Information Data Centre
Genotype data for three freshwater macroinvertebrate species in upland Wales, UK (2012-2013)

The resource consists of genotype data (genetic constitution of an individual organism) for three freshwater macroinvertebrate species, Amphinemura sulcicollis, Isoperla grammatica and Baetis rhodani collected at sites in upland Wales during May 2012 and May 2013. New nucleotide tandem repeats in DNA sequences i.e. Novel microsatellites were developed for this project so that genetic analysis could be carried out within the three species. Extra data on how microsatellite scores were grouped i.e. binned into unique alleles is provided, to aid replication. The data was generated for Hannah Macdonald's PhD thesis: to study genetic structure and diversity, demographic species history and resilience in freshwater ecosystems. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was funded by the Natural Environment Research Council (NERC) under the Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/27da4400-9835-4241-9df9-a3b598f8d274

Tags: Diversity of Upland Rivers for Ecosystem Service S, Habitats and Biotopes
Organization: Environmental Information Data Centre
Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021

This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer. The overall purpose of the measurements from this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533

Tags: Safety limits, Tree traits
Organization: Environmental Information Data Centre
Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]

The dataset contains daily and monthly surface water, energy and carbon fluxes, and state variables for Great Britain over the period between 1961 and 2015. The data was obtained from a 55 years simulation with the JULES Land Surface Model, at 1 km spatial resolution and driven by the meteorological dataset CHESS-met v1.2 (Robinson et al., 2017; https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900). The data comes in both monthly (all variables) and daily (only variables with no z dimension) averages. The variables are: total evapotranspiration and components (kg m-2 s-1), runoff (kg m-2 s-1), surface temperature (K), soil moisture (kg m-2), soil temperature (K), snow mass (kg m-2). latent and sensible heat (W m-2), net and gross primary productivities (kg C m-2 s-1), plant respiration (kg C m-2 s-1). The z dimension may refer, if present, to tile (surface type), pft (plant functional type) or soil (soil layer). This simulation forms the basis for new research paper by Blyth et al (2017, under review). Full details about this dataset can be found at https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096

Tags: Great Britain, Hydrography, carbon fluxes, sensible and latent fluxes
Organization: Environmental Information Data Centre
Derived global responses of annual river flow to catchment forestation through time, between 1900 and 2018

This dataset reports the responses of annual river flow to forestation in 43 catchments and contains 770 data points. Data shows the change in river flow following forestation at annual time scales, along control river flow measurements and associated metadata from primary and secondary sources. Data collection, processing and interpretation were performed by Laura Bentley and David A. Coomes between January 2018 and October 2019. Forestation was defined as a change in land cover from a stable, non-forested state to a forested one, independent of the long-term history of forest cover. Paired measurements of annual river flow following forestation (mm) and river flow under control land cover conditions (mm) are provided for each year that the catchment dataset satisfied our inclusion criteria. River flow response is provided as both an absolute difference (mm) and as a percentage of control flow in the same year. Estimates of catchment annual precipitation, annual potential evapotranspiration, forest age, forest area, and the year of study are provided for each river flow response data point. Metadata are provided concerning catchment land cover history, land use history, catchment area, forest type, average climate and the method of forest establishment. The dataset contains catchments that were planted with trees and catchments in which forest cover regenerated without planting. Historical forest cover was reported in some catchments, and not reported in others. The 43 catchments a distributed unevenly across the globe, in 13 countries. The length of time series for each catchment varies from 2 years to 57 years, with and average duration of 19 years. Full details about this dataset can be found at https://doi.org/10.5285/5baa5d91-d552-4fc6-8a8c-29ae45192d77

Tags: Environmental Monitoring Facilities, River flow
Organization: Environmental Information Data Centre
Hydro-morphodynamic data from numerical simulations of different dam scenarios in Andean Rivers of the Amazon Basin

The data contains the model output files from eRiDynaS. eRiDynaS is a two-dimensional (grid-based, depth-averaged) River Dynamics Simulator that incorporates equations representing water flow, multi-fraction sediment transport, bank erosion and floodplain processes. Initial channel and floodplain morphology (e.g., river slope, width and depth) and grain size characteristics (for bedload and suspended load) must be specified to define a channel-floodplain system with a simple initial configuration. The river system then evolves during the simulation to develop a self-formed channel and floodplain with morphology that is a product of the imposed model boundary conditions and process representation. Each grid cell in the domain is classed as either channel (unvegetated) or floodplain (partially vegetated). Cells can be converted between these two classes through a range of mechanisms as a simulation proceeds. Process equations and parameter values may differ between channel and floodplain cells, and as a function of floodplain age. The data provides the hydrodynamic and morphodynamic results for the reference (no dam) scenarios and the dam scenarios described in the publication for each output timestep (5 flood days) along the simulation time. For the REF-scenarios, total simulation time was 6000 flood days, for the DAM-scenarios 4000 flood days. Details on the values stored in the spreadsheets are provided in the README.txt-file. In addition, the post-processing scripts (python-format) were provided to calculate relative bed elevation, water levels, flow velocities and sediment transport rates, to extract floodplain and channel cells, and to extract the secondary floodplain (trench) area. Full details about this dataset can be found at https://doi.org/10.5285/6f2e05ea-d729-453a-8fa9-aeb5a9405011

Tags: Amazonian foreland rivers, Bolivia, Meandering sand bed rivers, Peru, dam construction, floodplain hydrology, morphodynamic change
Organization: Environmental Information Data Centre
Population responses of honeybees to oilseed rape neonicotinoid seed treatments in Hungary, Germany and the UK

The data set describes the effects of three neonicotinoid seed treatments (clothianidin, thiamethoxam and a control) applied to winter sown oilseed rape in Hungary, Germany and the UK on honeybees (Apis mellifera). The data describes population responses in terms of European Food Safety Authority (EFSA) primary (colony strength and overwintering success) and secondary assessment endpoints for the response of honeybees to exposure to the neonicotinoids. Information on expression of neonicotinoids in the pollen and nectar from the crop or collected by bees is also included, as well as details of honeybee diseases and foraging preferences. This research was undertaken by the Centre for Ecology & Hydrology in 2015 and was funded by Syngenta Ltd. and Bayer CropScience. Full details about this dataset can be found at https://doi.org/10.5285/eac530fe-54ad-4570-83d3-c59e70c0af9d

Tags: Environmental Monitoring Facilities, NEC05367
Organization: Environmental Information Data Centre
Daily and sub-daily hydrometeorological and soil data (2013-2019) [COSMOS-UK]

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2019. These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing 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/b5c190e4-e35d-40ea-8fbe-598da03a1185

Tags: COSMOS-UK, Environmental Monitoring Facilities, Incoming longwave radiation, Outgoing longwave radiation, UK, UK-SCAPE, absolute humidity, air temperature, atmospheric pressure, cosmic-ray sensing probe, net radiation, potential evapotranspiration, relative humidity, soil depth 10cm, soil depth 20cm, soil depth 2cm, soil depth 50cm, soil depth 5cm, soil heat flux, soil temperature, wind direction, wind speed
Organization: Environmental Information Data Centre
Unified peat map for Wales

An updated map of peat extent for Wales has been developed by the UK Centre for Ecology and Hydrology, with support from the British Geological Survey and Natural Resources Wales in support of the Glastir Monitoring & Evaluation Programme, commissioned by the Welsh Government. This map represents a considerable advance on previous attempts to map the deep peat resource of Wales and yields a significantly larger estimate than that based on the Soil Survey of England and Wales alone. This new map highlights the wide distribution of peatlands across much of Wales, with large areas of upland blanket bog in North east and North-central Wales (Migneint, Berwyn) and central Wales (Cambrian Mountains), as well as smaller areas of upland peat in and around the Brecon Beacons National Park. The new unified map also provides a much more detailed picture of the distribution of deep peat in the lowlands, many areas of which retain significant biodiversity interest. The Glastir Monitoring & Evaluation 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. Full details about this dataset can be found at https://doi.org/10.5285/58139ce6-63f9-4444-9f77-fc7b5dcc00d8

Tags: Environmental Monitoring Facilities, Wales
Organization: Environmental Information Data Centre
Individual heath area estimates for land cover types in Dorset: 1978-2005

This dataset is a census of the heathland and associated vegetation from Dorset, UK. The Dorset heathlands are situated in South West England, and are generally associated with free-draining and acidic soils overlying Tertiary sands and gravels. The heathlands comprise a mosaic of different vegetation types, characterised by dwarf shrub communities dominated by members of the Ericaceae (e.g. Calluna vulgaris, Erica spp.), together with areas of mire, grassland, scrub and woodland. Unless they are managed heathlands undergo succession to scrub and woodland. Therefore the majority of heathland sites are currently under some form of conservation management, which is implemented to reduce succession to scrub and woodland. Management interventions include cutting and burning of vegetation, and grazing by livestock. Individual heathland patches are also managed for ecosystem services, such as recreation and timber production, as well as biodiversity conservation. Full details about this dataset can be found at https://doi.org/10.5285/4c347ec4-0beb-4355-9780-89dad718b2f3

Tags: Habitats and Biotopes, Land Cover
Organization: Environmental Information Data Centre
First egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) breeding in three deciduous woods in Cambridgeshire, England in 1993 to 2016

This dataset contains first egg dates for great tits (Parus major) and blue tits (Cyanistes caeruleus) from Monks Wood, Brampton Wood and Wennington Wood in Cambridgeshire, England, over a 23 year period. The dataset runs from the breeding season in 1993 to the end of the breeding season in 2015. The first egg dates are presented as the number of days from the start date which was set as the 1st April each year. Because the timing of breeding of great tits and blue tits is influenced in large part by ambient temperature and the phenology of their main prey, the data were collected as a measure of spring phenology. These data comprise part of a larger long-term study of the influence of habitat (extent, structure and composition) and landscape factors on abundance, distribution and breeding success of woodland birds in English lowland deciduous woodland. Full details about this dataset can be found at https://doi.org/10.5285/2efa9bf4-e5c0-42f9-8fcb-90dca2bb9c66

Tags: Brampton Wood, Environmental Monitoring Facilities, Wennington Wood, blue tit, deciduous woodland, great tit
Organization: Environmental Information Data Centre
Land Cover Map 2019 (20m classified pixels, N. Ireland)

This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. 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/10.5285/5517d5d1-1e8c-4e19-b2f1-06f43bc74f1c

Tags: Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre