AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil physico-chemical properties 2007 [Countryside Survey]

This dataset consists of soil physico-chemical properties (pH, loss on ignition, bulk density, moisture content, carbon stock and concentration, total nitrogen, Olsen phosphorus) from soils sampled from up to 591 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Please note: the use of Olsen P data, particularly in relation to acidic soils, is controversial. Please ensure these data are suitable for your requirements and exercise caution in their use. Full details about this dataset can be found at https://doi.org/10.5285/79669141-cde5-49f0-b24d-f3c6a1a52db8

Tags: Countryside Survey, Soil
Organization: Environmental Information Data Centre
Crop and soil responses to repeated application of biodegradable and conventional plastic mulch, North Wales, UK, 2021-2024

This dataset contains a range of plant, soil, plastic and environmental measurements, which was collated over a 4-year period following a repeated field experiment. The data is to investigate the effect of biodegradable and conventional plastic mulch film application on crop (maize) and soil properties. The remaining mulch film on the soil surface of each plot was incorporated into the soil after each growing season to simulate realistic plastic input. The details can be found in the lineage field and the supporting document. Full details about this dataset can be found at https://doi.org/10.5285/cf557a25-78b4-49c7-9993-b32a7ed814b5

Tags: Agricultural and Aquaculture Facilities, Soil
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2013

This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) 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 2013), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2014) is now available. Full details about this dataset can be found at https://doi.org/10.5285/15b65cf5-d54a-43ff-9cd9-7483bea36ab3

Tags: Species Distribution
Organization: Environmental Information Data Centre
Land Cover Map 2007 (25m raster, NI)

LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a hierarchical 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, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of the 25m raster version, Northern Ireland only. Full details about this dataset can be found at https://doi.org/10.5285/08b78c4b-cd3f-4eeb-a9eb-9c3e88812f16

Tags: Land Cover
Organization: Environmental Information Data Centre
Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)

The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016. Data acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200. The research builds upon model development supported by NERC 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/10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583

Tags: ASSIST, Achieving Sustainable Agricultural Systems, Environmental Monitoring Facilities, UK-SCAPE
Organization: Environmental Information Data Centre
Time series of uranium transformations in aerobic soils following experimental addition of uranyl ion

The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for ca. 1.7 years. The long term behaviour of U in aerobic soils was studied by conducting a laboratory-based experiment in which a set of twenty topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with a solution containing UO22+ in soluble form and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 619 days. The transformations of U in each soil microcosm were periodically monitored by means of soil extractions conducted on subsamples of incubated soils. The resulting dataset enabled quantification of the kinetics of UO22+ transformations in aerobic soils and the relationships with soil properties and land uses (arable, grassland and moorland/woodland). The dataset will be useful in developing models of long-term U bioavailability in aerobic soils under temperate conditions. Full details about this dataset can be found at https://doi.org/10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc

Tags: Aerobic soils, Chernobyl, Chornobyl, Incubation, Soil
Organization: Environmental Information Data Centre
National Plant Monitoring Scheme survey data (2015-2024)

This data resource provides plot-level plant occurrence data for the first ten years (2015-2024) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2024. Full details about this dataset can be found at https://doi.org/10.5285/26f52f30-e1d1-4314-89a0-0c3f80695418

Tags: Environmental Monitoring Facilities, National Plant Monitoring Scheme (NPMS)
Organization: Environmental Information Data Centre
Land Cover Map 2020 (25m rasterised land parcels, GB)

This is a 25m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band dataset in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/6c22cf6e-b224-414e-aa85-900325baedbd

Tags: Biodiversity action plan, Environmental Monitoring Facilities, Great Britain
Organization: Environmental Information Data Centre
Nitrous oxide fluxes and associated soil measurements from a mixed livestock farm in central Scotland (2012-2013)

This data set includes over 500 individual flux measurements of nitrous oxide (N2O) from a mixed livestock farm, carried out in 2012 and 2013 using a high-precision flux chamber method. Measurements of soil properties are also reported for each individual flux measurement. Soil pH, temperature moisture content, bulk density and ammonia and nitrate concentrations (extracted via the KCl method) are reported in the data. The data represents arable and grazed fields (cattle and sheep) as well as other sources of N2O from agricultural lands such as barns, manure heaps and silage storage. This data was used to assess farms scale emissions of N2O from a variety of sources over four seasons. Full details about this dataset can be found at https://doi.org/10.5285/54edbdcf-086e-40a7-b2cc-c1e4fcbfbbbc

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2022

This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years). The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country. UK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2022: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, the University of Reading and University of Leeds. PoMS Steering Group members in 2022 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, Buglife and National Biodiversity Network. Full details about this dataset can be found at https://doi.org/10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb

Tags: Environmental Monitoring Facilities, Species Distribution
Organization: Environmental Information Data Centre
Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022

The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022. Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments. Full details about this dataset can be found at https://doi.org/10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Vector maps of the 1960 Second Land Utilisation Survey in England and Wales, from 110 published maps

This is a vector dataset representing land use in the 1960s across a selection of areas in England and Wales. The land use data is digitised from 110 published maps of the 1960s Second Land Utilisation Survey (2LUS) which was directed by Professor Alice Coleman. The published maps were digitised using a semi-automated supervised classification, followed by extensive post-processing to clean the vector dataset. The resulting dataset maps 11 land-use categories including “Arable”, “Broadleaved and mixed woodland”, “Coastal”, “Coniferous woodland”, “Grassland”, “Heath, moorland and rough land”, “Market gardening and orchards”, “Open space”, “Settlement”, “Unvegetated land”, “Water and Marsh”. Full details about this dataset can be found at https://doi.org/10.5285/03940756-afe9-428b-8c69-275e6b889251

Tags: England, Land Cover, Land Use, Wales
Organization: Environmental Information Data Centre
Impacts of cattle grazing and fire on old-growth grasslands plant communities in the Brazilian Cerrado, 2022

The data contains variables related to the diversity and structure of plant communities of cattle-grazed and burned old-growth grasslands and ungrazed and unburned old-growth grasslands located in the northern region of the Cerrado, specifically in the municipality of São Félix do Tocantins, state of Tocantins, Brazil, collected in March and April 2022. Data were collected in 100 plots of 1-m² distributed over ten old-growth grasslands (10 plots per site), of which five were grazed and burned and five ungrazed and unburned. Full details about this dataset can be found at https://doi.org/10.5285/d83e0c7d-ea49-4cf9-a002-c31cc3bbfe80

Tags: Brazil, Cerrado, neotropical savanna, old-growth grasslands, old-growth savannas
Organization: Environmental Information Data Centre
Land Cover Map 2015 (vector, N. Ireland)

This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. The vector data set is the core LCM data set from which the full range of other LCM2015 products is 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 LCM2015 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. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019. Full details about this dataset can be found at https://doi.org/10.5285/60764028-adeb-4316-987a-14b3b21a8f9a

Tags: Land Cover
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) the erosion rate of sediment cores from salt marsh sites at Morecambe Bay and Essex

The dataset comprises the erosion rate (percent mass loss per hour) observed in sediment cores (16 centimetre (cm) diameter, 30cm height) subjected to flume tank flow for three 'waterfall' flows (Low, medium, high). 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 metre (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/10.5285/7e3b5549-881f-47ea-b003-08542bf6193e

Tags: BESS (Biodiversity and Ecosystem Service Sustainab, CBESS (Coastal Biodiversity and Ecosystem Service , Habitats and Biotopes, Sediment erosion rate
Organization: Environmental Information Data Centre
River flow videos of the water surface within the River Sheaf, UK, August 2024

This dataset contains five videos of the water surface within the River Sheaf, UK. These videos were collected for the purposes of tracking the river surface flow using Particle Image Velocimetry, Optical Flow Tracking and Particle Tracking Velocimetry to determine the velocity of the river and the potential for erosion. They were collected at various frequencies and lens settings to determine the optimal settings for tracking the flow, and the optimal velocimetry method. The work was supported by the Natural Environment Research Council (Grant NE/V008404/1). Full details about this dataset can be found at https://doi.org/10.5285/478db67e-bd58-48d9-a540-9e8e7e3ae68a

Tags: Hydrography, River Sheaf, scour, tracking, velocimetry
Organization: Environmental Information Data Centre
Headwater stream invertebrate data 1990 [Countryside Survey]

This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 1990. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be sampled within the recommended sampling period of three minutes of active sampling, supplemented by a one minute hand search. The length of river surveyed would normally vary from 5 to 15m. Samples were collected using a standard 1mm mesh pond net and returned to the Centre for Ecology & Hydrology (formerly Institute of Freshwater Ecology) for later sorting and identification. Supplemental physical measurements (width, depth, substrate composition) required to run RIVPACS (River Invertebrate Prediction and Classification System) were taken. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/b4c17f35-1b50-4ed7-87d2-b63004a96ca2

Tags: Environmental Monitoring Facilities, Freshwater macroinvertebrates, Great Britain
Organization: Environmental Information Data Centre