AndreaBozzo/ceres-open-data-index huggingface dataset:
Invertebrate and plant biodiversity data from a woodland creation experiment, collected two years post-establishment, Wales, 2023

This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations of woodland type (native broadleaf vs sitka spruce), enhanced weathering (with/without basalt addition), and soil microbiome inoculation (with/without soil from mature habitat type), compared to a grassland control treatment. The experiment was established in April 2021 and aims to assess strategies for maximising woodland carbon storage. The biodiversity data from each experimental plot was collected in summer 2023. Full details about this dataset can be found at https://doi.org/10.5285/dea46de1-9072-4342-b944-e485ccc1324a

Tags: Environmental Monitoring Facilities, The Carbon Community, enhanced weathering, plant biodiversity, soil microbiome inoculation
Organization: Environmental Information Data Centre
CO2 efflux, root and mycorrhizal hyphae production in subarctic willow shrub and treeline birch forest, Abisko 2017-2018

This dataset contains in situ CO2 efflux, root production and fungal hyphae production from plots distributed across a subarctic landscape in Northern Sweden. Six paired plots were established in mountain birch forest and five paired plots were established in tall shrub tundra where one of each pair was 'girdled' and one acted as a non girdled 'control'. Efflux measurements were made during six sampling campaigns over 2017 and 2018 at an approximate frequency of once per week during each campaign, constituting a time series of measurements. Production measurements integrated root or hyphae production over the whole growing season (June-September) and therefore there is one datapoint per plot per year. Full details about this dataset can be found at https://doi.org/10.5285/4418c631-c39c-467c-b3b8-c75142fcae0a

Tags: CO2 efflux, Environmental Monitoring Facilities, fungal hyphae production, root production
Organization: Environmental Information Data Centre
Beech tree ring data from hot and dry European distribution edges, 2019

This dataset contains year-by-year tree inter-annual growth measurements (dendroecology, ring width) covering 1900-2019. European Beech tree cores were sampled in late 2019 at 12 sites in Bulgaria, Albania, Kosovo, and Spain. Measurements took place to fill the climatic gaps that European Beech Tree Ring Network (EBTRN) has not well covered at the hot and dry European distribution edges. Full details about this dataset can be found at https://doi.org/10.5285/5a749178-cc87-4ccc-88e5-ea7c464f067b

Tags: European Beech, Habitats and Biotopes, tree ring width
Organization: Environmental Information Data Centre
Faecal bacteria concentration in the River Wharfe from 2019 to 2021

This dataset contains faecal bacteria data (mainly E. coli but also some Intestinal enterococci) for the River Wharfe and its tributaries in Yorkshire. They were collected and analysed as part of citizen science projects (termed the Ashlands and iWharfe projects) designed to assess the extent to which the river is contaminated by sewage effluent and capable of meeting national bathing water standards. In the Ashlands project, samples were taken upstream and downstream of the Sewage Treatment Works in Ilkley. The data were used in a successful application by the Ilkley Clean River Group for the river in Ilkley to be designated as a bathing water, the first running water site so designated in the UK. The iWharfe data are from samples collected on two occasions (2020 and 2021) at sites along the full length of the river and selected tributaries and show in particular the level of faecal bacteria contamination at recreational sites along the river. Overall, the data show not only the importance of sewage effluent in causing high concentrations of faecal bacteria in the river but also the role of agricultural sources presumed to be from farm livestock. Full details about this dataset can be found at https://doi.org/10.5285/a8f553c0-8fff-4b23-9461-fd59d0fd2ed3

Tags: E. coli, Environmental Monitoring Facilities, Ilkley, River Wharfe, Yorkshire Dales, intestinal enterococci
Organization: Environmental Information Data Centre
Insect visitations to wildflower seed mix trials on farms in West Sussex and Oxfordshire from 2019-2021

The dataset contains information about insect visitations to flowers growing in seed mix trial plots on two farms, one in West Sussex, and one in Oxfordshire. The data was collected during the spring and summer seasons of 2019, 2020, and 2021. Seed mix trial plots were walked centrally and insects visiting flowers in the plots were recorded, and where possible, identified to genus or species level. The work was supported by the Natural Environment Research Council (NE/P009972/1) Full details about this dataset can be found at https://doi.org/10.5285/ca785f4c-5e45-4743-83bb-e30dd620de2e

Tags: Habitats and Biotopes, Seed mix, agri-environment, foraging, insects, pollinators, wild bees, wildflower
Organization: Environmental Information Data Centre
Landscape point feature data 2007 [Countryside Survey]

This dataset consists of landscape point feature information for points across Great Britain, surveyed in 2007. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated species where relevant, within a set of 591 1km squares across Great Britain, surveyed during the Countryside Survey long term monitoring project (note: not all surveyed squares contained point features). 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 point features, habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/55dc5fd7-d3f7-4440-b8a7-7187f8b0550b

Tags: Countryside Survey, Environmental Monitoring Facilities, Great Britain
Organization: Environmental Information Data Centre
Hampshire Avon: Dissolved oxygen data collected at one minute intervals from five river reaches

This dataset contains instream dissolved oxygen data collected continuously at one minute intervals for five sites in the Hampshire Avon catchment in the United Kingdom. Data were collected between August 2014 and August 2015 using miniDOT loggers. Full details about this dataset can be found at https://doi.org/10.5285/840228a7-40a1-4db4-aef0-a9fea2079987

Tags: Habitats and Biotopes
Organization: Environmental Information Data Centre
Soil physico-chemistry, high-frequency soil nitrate, PLFA microbial communities, greenhouse gas emissions and litter quantity and quality under oak decline at Writtle Woodlands, Essex, UK, 2022-2023

This dataset captures one year of seasonal biogeochemical monitoring in the root zones of English oak (Quercus robur) trees affected by Acute Oak Decline (AOD), Chronic Oak Decline (COD), and healthy control trees in Writtle Woodlands, Essex, UK. Measurements include: (1) total soil nutrients at the start and end of the sampling period (2) Monthly bioavailable soil nutrients, moisture, pH, conductivity, temperature in surface soil (0-10 cm). (3) Seasonal bioavailable soil nutrients at multiple depths (0-40 cm), (4) seasonal litterfall mass and composition (leaves, seeds, wood, flowers), (5) litter chemistry (i.e., C, N, pH, and metals) (6) greenhouse gas (GHG) fluxes (CO2, CH4, N2O) from static chambers, and (7) microbial community structure derived from phospholipid fatty acid (PLFA) profiling. Data were collected between October 2022 and August 2023 at three replicated trees per health status category (AOD, COD, healthy). Measurements also include: (8) High frequency nitrate concentrations and soil moisture content obtained using in situ sensors (one sensor per tree per health status) and daily rainfall totals. The data enable assessment of temporal changes in soil chemistry, litter dynamics, microbial communities, and GHG fluxes in relation to tree health. Full details about this dataset can be found at https://doi.org/10.5285/26bbd3ed-adbd-464c-b31a-bbfb7052e9bf

Tags: Habitats and Biotopes, In situ nutrient sensor, Litter, Oak Decline, Quercus robur, Soil, nitrate
Organization: Environmental Information Data Centre
Bait use of arboreal ants in a lowland tropical rainforest, Maliau Basin Conservation Area, Malaysia, 2015-2018

This dataset measures the abundance of ant species at baited traps set across twelve trees in four experimental plots in lowland, tropical rainforest. Baited traps were set at 5 m vertical intervals from the ground to as high as possible in the canopy, the stratum of each trap location was recorded. At each height two pairs of baited traps were set, each pair contained one trap baited with carbohydrate (honey and oats) and the second with protein (tuna). Traps within each pair were separated by approximately 20cm were left open for 24 hours. All ants collected were identified to morphospecies level and the species abundance in each trap was recorded. Full details about this dataset can be found at https://doi.org/10.5285/62bf0251-ca8d-4288-a274-0ff6e39b3a3c

Tags: ant
Organization: Environmental Information Data Centre
Historic Standardised Precipitation Index time series for IHU Groups (1862-2015) v2

Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al., 2015; https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 9, 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 1862 to 2015. NOTE: the difference between this dataset with the previously published dataset 'Standardised Precipitation Index time series for IHU Groups (1961-2012) [SPI_IHU_groups]' (Tanguy et al., 2015; https://doi.org/10.5285/dfd59438-2170-4472-b810-bab33a83d09f), apart from the temporal extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Tanguy et al., 2014; https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e) was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting information for more details). Within Historic Droughts project (grant number: NE/L01016X/1), the Met Office has digitised historic rainfall and temperature data to produce high quality historic rainfall and temperature grids, which motivated the change in the underlying data to calculate SPI. The methodology to calculate SPI is the same in the two datasets. This release supersedes the previous version, https://doi.org/10.5285/047d914f-2a65-4e9c-b191-09abf57423db, as it addresses localised issues with the source data (Met Office monthly rainfall grids) for the period 1960 to 2000. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. Full details about this dataset can be found at https://doi.org/10.5285/a01e09b6-4b40-497b-a139-9369858101b3

Tags:  Historic Droughts, Drought , Drought Catalogue , Drought Indicator , Drought Inventory , Historic time series, Meteorological geographical features, Rainfall extremes, SPI, Standardised Precipitation Index , Water Scarcity 
Organization: Environmental Information Data Centre
Leaf phenology synchrony for Meso- and South America

[THIS DATASET HAS BEEN WITHDRAWN]. The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Fourier Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: * well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation). * poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth. Full details about this dataset can be found at https://doi.org/10.5285/36795e9d-2380-465c-947b-3c9ae26f92d0

Tags: enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), vegetation index (VI)
Organization: Environmental Information Data Centre
Community antimicrobial resistance genes and concentrations of polycyclic aromatic hydrocarbons and metals in NE England soils (2016)

The dataset collates the relative concentration of nearly 300 antimicrobial resistance (AMR) genes, and concentrations of polycyclic aromatic hydrocarbons (PAH) and potentially toxic elements (PTE; e.g., “metals”) found in soils across northeastern England during a sampling expedition in June 2016 by researchers at Newcastle University. Top soils (15 cm depths; “A” horizon) were obtained from 24 rural and urban locations around Newcastle upon Tyne, representing a spectrum of landscape conditions relative to anticipated PTE contamination. There are three files related to different types of data collected: antimicrobial resistance genes, metal concentrations and PAH concentrations. The high-throughput analysis of nearly 300 AMR genes include many resistance traits representing major antibiotic classes: aminoglycosides, beta lactams, FCA (fluoroquinolone, quinolone, chloramphenicol, florfenicol and amphenicol resistance genes), MLSB (macrolide, lincosamide, streptogramin B), tetracycline, vancomycin, sulphonamide, and efflux pumps. PAH data represent the US Environmental Protection Agency priority polycyclic aromatic hydrocarbons as one of the measures of pollution impact. The other measure of impact is based on levels of twelve PTE represented by “total” and “two bio-available” concentrations, based on three extraction methods. Elements included aluminium, arsenic, beryllium, cadmium, chromium, copper, iron, lead, mercury, nickel, phosphorus, and zinc. Full details about this dataset can be found at https://doi.org/10.5285/35b49db6-8522-4c6b-a779-820268292603

Tags: AMR, PAH, PTE, Polycyclic aromatic compounds, Soil, antimicrobial resistance, potentially toxic elements
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site location data 2020

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. A full set of UKBMS monitoring sites is available in a separate dataset requested 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 year new sites each 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/f0fb35c7-1983-4b05-b189-4fa128b9c430

Tags: England, Environmental Monitoring Facilities, Northern Ireland, Scotland, UK-SCAPE, United Kingdom, Wales
Organization: Environmental Information Data Centre
Soil biodiversity, carbon cycling and crop plant biomass responses to experimental biochar amendment of agricultural soil (Dundee, UK)

These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes. The experimental design comprised three treatments: (1) biochar (absence or presence at 2% w/w); (2) plant type (barley, perennial ryegrass, or unvegetated); and (3) soil texture (sandy clay, sandy silt loam, clay loam). Ecosystem responses measured were net ecosystem exchange of carbon (NEE) & ecosystem respiration (both g CO2 m-2 h-1) and plant biomass (g aboveground and root). Soil biological responses measured were estimates of microbial community structure (fungal-to-bacterial ratio, total phospho-lipid fatty acid (PFLA) nmol g-1 soil) and densities (g-1 soil) of nematode worms and soil microarthropods (Collembola, Acari). The experiment was done at the Centre for Ecology & Hydrology in Penicuik, near Edinburgh in Scotland (UK). Soils used in the experiment were taken from the top 20 cm of the soil profile, from the James Hutton Institute’s Balruderry Farm near Dundee, Scotland, UK (56° 27’ N, 3° 4’ W). This research was funded by a Natural Environment Research Council Open CASE PhD studentship grant (NE/HO18085/1). Full details about this dataset can be found at https://doi.org/10.5285/130369e1-d9c7-436c-bd0c-1ccde4844576

Tags: Soil, biochar
Organization: Environmental Information Data Centre
UK gridded workday population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021

This dataset contains gridded workday population estimates with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. While traditional residential population data reflects where individuals live, these workday estimates account for the movement of the population during typical working hours, redistributing the census population based on employment locations and commuting flows. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded workday population product. The mapping product is based on British National Grid (OSGB36 datum). Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files (as outlined in Collection Methods). To ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021 Full details about this dataset can be found at https://doi.org/10.5285/e7456cd0-9322-4794-953b-baf7d49231e1

Tags: Population Distribution - Demography
Organization: Environmental Information Data Centre