AndreaBozzo/ceres-open-data-index huggingface dataset:
Land Cover Map 1990 (vector, GB)

This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. 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/10.5285/304a7a40-1388-49f5-b3ac-709129406399

Tags: Great Britain, LCM1990, Land Cover, UK-SCAPE, vector
Organization: Environmental Information Data Centre
Orthomosaic aerial imaging from the Irontongue Hill erosion study site, Swineshaw Moor, UK, July 2019

This dataset consists of a single orthophoto mosaic image of Irontongue Hill on Swineshaw Moor. The area of interest includes seven erosion plots (approximately 5 x 5 m) which were set up on 26/07/2018 to capture the state of the burnt moorland surface and monitor subsequent erosion and vegetation recovery. The area of interest is approximately 0.45 km2. Full details about this dataset can be found at https://doi.org/10.5285/aff5210d-27e9-4655-badb-4d16c3adeb17

Tags: Hilldcope, Orthoimagery, Orthophoto mosaic, Wildfire
Organization: Environmental Information Data Centre
GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving the IMOGEN impacts model

This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). The 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1. The supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files. The data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble. Full details about this dataset can be found at https://doi.org/10.5285/4e8f3459-4101-4c85-a598-80b3c739f580

Tags: Atmospheric Conditions, Energy Balance Model (EBM), Future climate projections, Global Circulation Model (GCM), Global climate-carbon cycle model, Integrated Model Of Global Effects of climatic aNo, Meteorological geographical features
Organization: Environmental Information Data Centre
Soil methane data from a wildfire chronosequence in northern Sweden

Data comprise soil methane oxidation results from a group of 30 forested islands in northern Sweden sampled in 2006 and 2007. The islands have different fire histories and represent a retrogressive chronosequence spanning 5000 years. Full details about this dataset can be found at https://doi.org/10.5285/66cc8fd4-e722-44c4-9363-5930b8373b2c

Tags: Soil, boreal, chronosequence, flux, process
Organization: Environmental Information Data Centre
Vegetation cover at 54 UK Butterfly Monitoring Scheme sites in southern England, 2008-9

This dataset contains vegetation abundance information from sites in southern England. The data are estimated as percentage cover and flower density of 165 plant species in 1624 vegetation quadrats. The surveys were conducted during 2008 and 2009. The 54 sites are all part of the UK Butterfly Monitoring Scheme network. The data were collected to compare plant abundance and butterfly population density. The research was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/ca34e25b-6138-4b72-b32c-778d762118f1

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Topsoil carbon concentration estimates from the Countryside Survey of Great Britain, 2007 using a generalized additive model

This dataset presents modelled estimates of soil carbon concentration (g kg-1) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil carbon data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The model is based on soil carbon data from 2446 locations across Great Britain and is representative of 0-15 cm soil depth. Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 degrees Celsius for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. 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/10.5285/3aaa52d3-918a-4f95-b065-32f33e45d4f6

Tags: Broad Habitat, Countryside Survey, Loss on ignition, Parent Material Model, Soil, UK-SCAPE
Organization: Environmental Information Data Centre
Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2019-2020

This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside and the other is outside in the garden area . The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from November 2018 to January 2021. Samplers are exposed in monthly cycles at the beginning of each month. Full details about this dataset can be found at https://doi.org/10.5285/bac726a2-a26e-4d97-bf3f-1d530854120f

Tags: ALPHA sampler, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Interest features and linked critical load/level values for UK protected sites

This dataset contains the critical load and level values for designated habitats and species (where there is an appropriate match) at protected sites across the UK. The data is available for designated interest features for the following designations: (i) Special Areas of Conservation (SAC) (ii) Special Protection Areas (SPA) (iii) Sites of Special Scientific Interest (SSSI) - England only. Critical loads and levels are set under the auspices of the United Nations Economic Commission for Europe (UNECE) Convention on Long-Range Transboundary Air Pollution. For nutrient nitrogen critical loads are based on empirical evidence, mainly observations from experiments and targeted gradient studies. These empirical critical loads are assigned to habitat classes of the European Nature Information System (EUNIS) to enable consistency of habitat terminology and understanding across Europe. In order the assign the relevant critical load to Annex I features, SSSI habitat features, or habitats of Annex II/SPA features, habitat correspondence tables are used to determine the relationship between the EUNIS classes for which nitrogen critical loads are set and the interest features. Critical loads of acidity are based on soil and habitat types. They are set for six Broad Habitats; acid grassland, calcareous grassland, dwarf shrub heath, bogs, montane, unmanaged coniferous and broadleaved woodland. Critical Levels for air pollutants are not habitat specific and have been set to cover broad vegetation types (e.g. forest arable, semi-natural), often with critical values set for sensitive lichens and bryophytes. They have been derived from experiments and observation that show varied effects on vegetation including visible injury symptoms of exposure and species composition changes in semi-natural vegetation. Full details about this dataset can be found at https://doi.org/10.5285/0c04050d-ed79-4864-a164-5eb25f8c6ebd

Tags: Protected Sites, natura 2000, nitrogen deposition
Organization: Environmental Information Data Centre
Spatial risk analysis for Phytophthora ramorum infection in Larch fragments in Scotland

This dataset maps the risks of Phytophthora ramorum infection for 79062 larch fragments identified in Scotland, of which 79060 were assigned a risk score. Two fragments without climate and/or habitat suitability scores were excluded. Fragment risk scores integrate multiple risk factors. The primary risk factor is climate suitability for P. ramorum using pathogen-specific temperature-dependent growth curves and a relative humidity threshold. Other risk factors integrated are proximity to larch/infected larch within 500m or 5000m and other (non-Larch) wider environment infections within 1500m. Presence of alternative hosts are scored using habitat suitability within the fragment for sporulating hosts (Vaccinium myrtillus, V. vitis-idaea, Acrostaphylos uva-versi) and the reservoir host Rhododendron ponticum. Additionally, proximity to inspected premises with confirmed infections and the presence of water courses are also assessed. The maximum possible risk score for a larch fragment is 12. Fragments were also classified as low, medium or high risk. Full details about this dataset can be found at https://doi.org/10.5285/f6809e00-91cb-494d-babd-5d60d938ad97

Tags: Habitats and Biotopes, Larch, Phytophthora ramorum, Scotland
Organization: Environmental Information Data Centre
Soil nutrient data from Winklebury Hill, UK, in 2014

This dataset contains nutrient data from soils and microbial biomass in soils from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/5012d5c1-da82-4773-b286-01222595a8c8

Tags: Environmental Monitoring Facilities, Wessex BESS, total carbon
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site indices 2018

Site indices, as a relative measure of the actual population size, for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the actual population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see. Site indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which accurate indices of abundance cannot currently be calculated. For transect sites a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices are calculated for almost 1,500 sites across the UK. Site indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level in England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site. 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/abc32fcc-07e6-48ef-9cf3-d7d65e127bf1

Tags: Environmental Monitoring Facilities, Monitoring and observation systems, UK-SCAPE
Organization: Environmental Information Data Centre
Yield and physiology data of two African crops exposed to varying ozone concentrations, grown in solardomes, UK, 2019

Data are presented from an ozone exposure experiment performed on two African crops. The crops (beans and sweet potato) were exposed to three different levels of ozone in the heated UK CEH Bangor solardomes. The experiment ran from June 2019 to October 2019. The crop plants were grown from seed (beans) or plug plants (sweet potato), in pots in solardomes. The aim of the experiment was to investigate the impact of ozone exposure on the crop yield and plant health. The dataset comprises of manually collected data on plant physiology, biomass and yield. In addition the automatically logged data of ozone concentration and meteorological variables in the solardomes are presented. Plant physiology data is stomatal conductance of individual leaves, measured on an ad-hoc basis. The dataset includes the associated data measured by the equipment (relative humidity, leaf temperature, photosynthetically active radiation). Soil moisture of the pots was always measured at the same time, and chlorophyll content of the measured leaf was usually, but not always, determined at the same time. Yield of beans and sweet potato was determined for each plant. The ozone and meteorological dataset is complete, but with some gap-filling for short periods when the computer was not logging data. The work was carried out as part of the NERC funded SUNRISE project (NE/R000131/1). Full details about this dataset can be found at https://doi.org/10.5285/48456cbf-4873-4a2b-9625-ad22a207c462

Tags: Environmental Monitoring Facilities, Sweet potato, bean
Organization: Environmental Information Data Centre
Belowground component and soil data for a tropical savanna following invasion by Urochloa brizantha, Cerrado region, Brazil, 2022

This dataset contains measurements of aboveground biomass, belowground organ biomass, belowground bud bank density, root biomass, soil fertility, and soil carbon and nitrogen stocks from invaded and non-invaded vegetation patches of a tropical savanna (Cerrado). Sampling was conducted in an area invaded by Urochloa brizantha, where invaded and non-invaded patches were paired, totaling 10 patches with 2 plots each. The study site is located within the Estação Ecológica de Itirapina, a natural reserve in southeastern Brazil, spanning the municipalities of Brotas and Itirapina, São Paulo State. Data were collected during a field campaign in November 2022. The dataset was generated to assess the effects of the invasive grass Urochloa brizantha on the belowground components of open Cerrado ecosystems, with a focus on the bud bank, biomass allocation among belowground organs, and soil properties. Full details about this dataset can be found at https://doi.org/10.5285/fe698eec-2868-43bf-8029-faa823a6f7d9

Tags: Cerrado, belowground bud bank, belowground organs, carbon content, invasive alien species, invasive grasses, old-growth grassland, soil analysis, tropical savanna, underground storage organs
Organization: Environmental Information Data Centre
Plant composition in coastal foredunes of Florida and Georgia undergoing recovery from hurricane Irma, 2017

This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma. Full details about this dataset can be found at https://doi.org/10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa

Tags: Recovery
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil pH on salt marsh sites at Morecambe Bay and Essex

The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2

Tags: BESS (Biodiversity and Ecosystem Service Sustainab, CBESS (Coastal Biodiversity and Ecosystem Service , Habitats and Biotopes, pH
Organization: Environmental Information Data Centre
Abundance of airborne pollen for nine grass species, measured by qPCR, UK, 2016-2017

The dataset contains abundance data of airborne pollen (including Anthoxanthum odoratum (sweet vernal-grass), Arrhenatherum elatius (false oat-grass), Cynosurus cristatus (crested dog's-tail), Dactylis glomerata (cock's-foot), Lolium perenne (perennial ryegrass), Phleum pratense (Timothy), Poa pratensis (smooth meadow-grass), grass species within the genera Alopecurus/Agrostis, and one probe that was found to be degenerate and unable to discriminate grass species. Here we used qPCR to track the seasonal progression of airborne grass pollen, in time and space. To do this we collected aerial samples from thirteen sites across the UK during the pollen seasons (May to September) of 2016 and 2017. Full details about this dataset can be found at https://doi.org/10.5285/28208be4-0163-45e6-912c-2db205126925

Tags: Airborne pollen, Anthoxanthum odoratum, Environmental Monitoring Facilities, Timothy, cock's-foot, crested dog's-tail, environmental DNA, false oat-grass, grass pollen season, perennial ryegrass), quantitative PCR (qPCR), smooth meadow-grass, sweet vernal-grass
Organization: Environmental Information Data Centre