AndreaBozzo/ceres-open-data-index huggingface dataset:
United Kingdom Butterfly Monitoring Scheme: site location data 2024

This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset. Users requiring access to the complete dataset, including sensitive site location data, can submit a request via the UKBMS website. The UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are new sites each year and a small number where the transect is no longer surveyed. Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. The majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), 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/d7256b49-f2e3-4ae7-907d-af729610c768

Tags: BReVI, Environmental Monitoring Facilities, Leipidoptera, annual, butterflies
Organization: Environmental Information Data Centre
CMIP5 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 34 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-1); surface relative humidity change per degree global warming (percentage of K-1); wind change per degree global warming (m s-1 K-1); longwave change per degree global warming (W m-2 K 1); shortwave change per degree global warming (W m-2 K-1); precipitation change per degree global warming (mm day-1 K-1) and pressure change per degree global warming (hPa K-1). 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° longitude and 2.5° 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° 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 34 GCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5) GCM ensemble. Further information about the dataset and its derivation can be found in Comyn-Platt, E. et al. (2018). 'Carbon budgets for 1.5 and 2 °C targets lowered by natural wetland and permafrost feedbacks'. Nature Geoscience. http://doi.org/10.1038/s41561-018-0174-9 Full details about this dataset can be found at https://doi.org/10.5285/343885af-0f5e-4062-88e1-a9e612f77779

Tags: Atmospheric Conditions, CMIP5 , EBM, Energy Balance Model, 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
Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050

This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change. The work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’. Full details about this dataset can be found at https://doi.org/10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be

Tags: CAESAR-Lisflood, Energy Resources, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK

These spatial layers map the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK. The model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes between 2007 and 2011, and focuses on how many times infection could have been completed within running 48 hour periods through the year. Average suitability of conditions are mapped for the whole period and for individual years from 2007 to 2011. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH). This dataset forms part of a series. Full details about this dataset can be found at https://doi.org/10.5285/a13d5821-824f-41ba-a930-26a5f0f4d2a6

Tags: Beech, Habitats and Biotopes, Ramorum dieback, Ramorum disease, Rhododendron, Sudden oak death, plant pathogen
Organization: Environmental Information Data Centre
Global Navigation Satellite System (GNSS) survey of Ciste Mhearad snow patch perimeter, Cairngorm, Scotland, 2023

This dataset contains geographic locations, including the horizontal and vertical position, of the perimeter of the Ciste Mhearad snow patch on Cairngorm for three dates in the summer of 2023. Points on the perimeter were located using two Global Navigation Satellite System (GNSS) receivers as base and roving stations during visits on 19 June, 27 July and 28 July 2023. Full details about this dataset can be found at https://doi.org/10.5285/81d05a77-4c95-4f17-bdbf-4c0a0095db6d

Tags: Cairngorms, Land Cover, post-processed kinematic survey, snow patches
Organization: Environmental Information Data Centre
Phenotypic measurements of Howea belmoreana and Howea forsteriana from a common garden experiment on Lord Howe Island

The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1. Full details about this dataset can be found at https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37

Organization: Environmental Information Data Centre
Influence of Jasmonic acid on the response of pasture to ozone

The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). A strong interaction was found in root biomass and root nodule biomass in cut white clover plants in a high ozone background (45-67 parts per billion (ppb) treatment mean), suggesting ozone-impacts on root nodule biomass occur through limitation of carbon availability. The work was carried out as part of a NERC funded PhD. Full details about this dataset can be found at https://doi.org/10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Abundance of plant taxa on Norwood Farm, Somerset during 2007 and 2008

Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N 2.3206W) during 2007 and 2008. During the study, Norwood Farm was managed as an organic farm at relatively low intensity. The work was was supported by the Biotechnology and Biological Sciences Research Council [grant number BBD0156341]. Full details about this dataset can be found at https://doi.org/10.5285/0c123d4e-186f-48f5-8580-d0696b247287

Tags: Environmental Monitoring Facilities, Norwood Farm, Plant, foodweb, leaf area index, network of networks, organic, transect
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2024

This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to 2024), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species). Trends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. Trends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. #Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species. Full details about this dataset can be found at https://doi.org/10.5285/4cf966ef-4d8e-48de-8368-3a68faf6fbbf

Tags: BReVI, England, Environmental Monitoring Facilities, Lepidoptera, Northern Ireland, Scotland, Uinited Kingdom, Wales, annual, butterflies
Organization: Environmental Information Data Centre
Plant species cover and carabid beetle species counts, 2018, and bird species counts, 2019, in native reforestation, unforested and mature forest areas in the Scottish Highlands

Plant and carabid beetle survey data was collected in the summer of 2018 and bird survey data in the summer of 2019 in Glen Affric and Glen Moriston in the Scottish Highlands. Data was collected using a 10 × 10 m plot in each reforestation site for plants and carabid beetles and a 50 m radius plot for birds. The same data was collected in a matched plot in an unforested, grazed area associated with each site and in a matched plot in an unforested area within the fenced site. Five pairs of plots were established in grazed and ungrazed mature Caledonian pineforest, the target of reforestation, to assess the value of the reforestation sites for biodiversity, relative to the unforested state and the target habitat. Full details about this dataset can be found at https://doi.org/10.5285/d31bcee5-736b-4aed-bda2-c11cacd5dfc7

Tags: Caledonian pineforest, Habitats and Biotopes, carabid beetles
Organization: Environmental Information Data Centre
Macroinvertebrate sampling in the River Beas, India, 2017

Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude). The data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC. Full details about this dataset can be found at https://doi.org/10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a

Tags: Sustaining Himalayan Water Resources in a Changing
Organization: Environmental Information Data Centre
Ammonia measurements from a passive sampler at Ballynahone Bog field site, Northern Ireland, 2021

This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations. Full details about this dataset can be found at https://doi.org/10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad

Tags: ALPHA sampler, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Countryside Survey Environmental Zones

The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. Full details about this dataset can be found at https://doi.org/10.5285/0cfd454a-d035-416c-80dc-803c65470ea2

Tags: Bio-geographical Regions, Land class, lowlands, uplands
Organization: Environmental Information Data Centre
Land Cover Map 1990 (25m raster, GB) v2

This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. 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/10.5285/1be1912a-916e-42c0-98cc-16460fac00e8

Tags: Great Britain, Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Grid-to-Grid model estimates of river flow for Northern Ireland driven by observed data (1980 to 2011)

Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2011. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept) and annual minima of 7-day mean river flow (years spanning Dec-Nov) (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable. To aid interpretation, three additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid and c) a 1km x 1km grid identifying majority lake cells. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/f5fc1041-e284-4763-b8b7-8643c319b2d0

Tags: Annual maximum, Annual minimum, G2G, Grid-to-Grid, Hydrography, Northern Ireland, River flow, UK-SCAPE
Organization: Environmental Information Data Centre
Extent and tree species composition from a Scottish deciduous woodland survey, 1976-1979

A survey of the extent and species composition of the deciduous woodlands of Scotland (including those with some admixture of conifers) was undertaken between 1976 and 1979, by the Institute of Terrestrial Ecology, funded by the Natural Environment Research Council and the Nature Conservancy Council. A census of deciduous woodlands in Scotland was made (as marked on British Ordnance Survey (OS) maps, 7th Series 1:63,360), between 1976 and 1979. A desk-based map search was undertaken in the first instance, followed by field ground-truthing. Full details about this dataset can be found at https://doi.org/10.5285/7b2eb903-e513-4210-a073-fddb6aa73291

Tags: Environmental Monitoring Facilities, Scotland, deciduous woodland, field survey, tree species
Organization: Environmental Information Data Centre
Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change

The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. Full details about this dataset can be found at https://doi.org/10.5285/2efac82b-2438-4806-999d-374663210c34

Tags: ECO-AG, Environmental Monitoring Facilities, JULES, NPP, RCP8.5, arable area, irrigation demand, net primary productivity
Organization: Environmental Information Data Centre
Interview transcripts in Bangla with poultry owners and poultry workers, Dhaka and rural Tangail district, Bangladesh (2017)

The dataset provides qualitative data from anonymised in-depth interviews conducted in 2017 with domestic poultry owners, commercial poultry farm workers and market sellers of live poultry in Bangladesh. The dataset comprises interview transcripts in Bangla. Household and farm interviews were carried out in rural areas of Mirzapur sub-district, Tangail. Interviews with market sellers of poultry were carried out in Dhaka city. An interview guide was used to explore themes and topics relating to poultry-raising practices, hygiene and waste disposal practices relating to poultry and use of antibiotics in poultry. The objective was to understand human behaviours and practices that may contribute to environmental contamination with antibiotic-resistant bacteria from poultry and potential pathways of transmission of antibiotic-resistant bacteria from poultry to humans. The research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/630759ac-b0ca-4561-8eec-414b47e14829

Tags: Bangladesh, Dhaka, In-depth interview, Mirzapur sub-district, Tangail, antimicrobial resistance, disease transmission, qualitative
Organization: Environmental Information Data Centre