AndreaBozzo/ceres-open-data-index huggingface dataset:
Environmental and location data for Malaise trap samples in the leakage belt of the Gola Rainforest National Park, Sierra Leone, November to December 2021

This dataset contains information about the locations and local environmental conditions of 123 Malaise trap samples collected in November-December 2021 in the 908 km2 forested ‘leakage belt’ buffer zone of the Gola Rainforest National Park (GRNP) in eastern Sierra Leone, where cocoa, a driver of deforestation, is the main cash crop. Each trap was set out for five days with >99% ethanol. The samples were transported from Sierra Leone to the UK, where they have been sent for metabarcoding for arthropods (using Leray2 PCR primers). The work was supported by the Natural Environment Research Council (Grant NE/S014063/1). Full details about this dataset can be found at https://doi.org/10.5285/161315e4-71c1-481d-906c-149ab2e9705c

Tags: West Africa, biodiversity indices, cocoa, environmental DNA, joint species distribution modelling, machine learning, metabarcoding, metagenomics, systematic conservation planning
Organization: Environmental Information Data Centre
Macroinvertebrate composition of Welsh upland rivers in response to organic matter addition (2013)

These data are macroinvertebrate composition and size in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as a control (no addition of deciduous leaves). To characterise the benthic macroinvertebrate communities of the studied streams, Surber net sampling was used to collect monthly samples during 2013 in January (before deciduous leaf addition) and from February to April (after deciduous leaf addition) in each sampling reach. Some of the collected individuals were used to characterise the invertebrate biomass of each reach. The main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley and Marian Pye, were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/d07fe8a7-d4da-43e5-834d-e1b0f4cff0ac

Tags: Environmental Monitoring Facilities, Llyn Brianne, Plynlimon, aquatic invertebrates, diversity
Organization: Environmental Information Data Centre
Multi-tier archetypes to characterise British landscapes, farmland and farming practices

This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built at national levels for England and Wales and focus on socioeconomic and agro-ecological characteristics within farmland-dominated landscapes, characterising differences in farm management. The unavailability of several input variables for agricultural management prevented the generation of Tier 3 archetypes for Scotland. The archetypes were derived by data-driven machine learning. The three tiers of archetypes were analysed separately and not as a nested structure (i.e. a single Tier 3 archetype can occur in more than one Tier 2 archetype), predominantly to ensure that archetype definitions were easily interpreted across tiers. Full details about this dataset can be found at https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3

Tags: AgLand, Agricultural and Aquaculture Facilities, Archetypes, Farming, Great Britain, Land systems
Organization: Environmental Information Data Centre
Monthly measurements of major and trace elements in 41 rivers in Great Britain, 2017, from the LOCATE project

This dataset contains monthly measurements of major and trace elements from 41 rivers around Great Britain. The samples were collected as part of the Land Ocean Carbon TransfEr (LOCATE) project during 2017 and they were analysed using Inductively coupled plasma mass spectrometry (ICP-MS). LOCATE was a multi-disciplinary NERC project that undertook coordinated sampling of the major rivers in Great Britain to establish how much carbon from soils is getting into rivers and estuaries and to determine what is happening to it. It involved the National Oceanography Centre, the British Geological Survey, the UK Centre for Ecology and Hydrology and the Plymouth Marine Laboratory, with assistance from the University of Lancaster, University of Durham, University of Hull, the University of the Highlands and Islands and the Environment Agency. Full details about this dataset can be found at https://doi.org/10.5285/ef880531-08b3-477d-a69e-3b28beb562d2

Tags: Environmental Monitoring Facilities, Great Britain, ICP-MS, LOCATE, rivers, terrestrial
Organization: Environmental Information Data Centre
Soil physical, chemical, and biological properties (0-1 m) at five long-term grassland-to-woodland land use contrasts across England, 2018-2019

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains soil chemical, physical and biological properties for up to six soil layers between 0 and 100 cm, measured once at each of the five long-term grassland-to-woodland land use contrasts across England between November 2018 and March 2019. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five grassland-to-woodland contrasts were located across England: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. Common soil physical and chemical properties were measured; field water content, soil water content, electrical conductivity, bulk density, pH in DIW, pH in CaCl2, Loss-on-ignition, total soil carbon, total soil nitrogen, and total soil phosphorus. Less common properties were also measured; extractable soil nitrogen, dissolved organic carbon, soil aggregate sizes, and soil texture. And for specific soil cores these additional following properties were measured; soil density fractions and their carbon and nitrogen contents, cation exchange capacity, Sodium concentration, potassium concentration, calcium concentration, magnesium concentration, and extracellular enzyme activities. Derived metrics resulting from the bioinformatic processing of the raw sequence files are provided as part this dataset. The properties in this dataset are co-located with ANPP estimates, litter layer depth measurements, soil hydraulic measurements (soil water release curves and hydraulic conductivity), earthworm counts and identification. A file is provided to connect all co-located measurements. Full details about this dataset can be found at https://doi.org/10.5285/f127b12d-a54f-4ab8-9697-b8154b81c4bd

Tags: SOC, SOC-D, Soil, UK-SCAPE, co-located measurements, meta genome, microbial genes, soil physics, topsoil, woodland
Organization: Environmental Information Data Centre
European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily ozone and particulate matter surface concentration for Southeast Asia for 2019 with and without forest fire emissions

This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia. It provides daily average concentration of ozone and PM2.5, PM10 and ozone on a 0.1° x 0.1° grid for 2019 for 2 scenarios: (1) A baseline run (BASE) including wildfire emissions and (2) A scenario without wildfire emissions (NOFF). The EMEP4UK model version used here is rv5.0, and the WRF model version is 4.4.2. This work was supported by the Natural Environment Research Council as part of the NC for Global Challenges programme [NE/X006247/1] delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3

Tags: Air Quality, Atmospheric Chemistry Transport Modelling, Atmospheric Conditions, Wildfires
Organization: Environmental Information Data Centre
Geochemistry and grain size of terrestrial sediments collected across a stream network, Swineshaw Moor, UK, 2018

This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for terrestrial sediment samples collected across the stream network of Harehill and Swineshaw Moors, Stalybridge, Tameside, Manchester. Samples were collected on three occasions in 2018 following a severe moorland wildfire (July 2018). Sediment samples were collected using stream sediment traps which accumulated sediments between the dates of sampling. Sediment traps were emptied in the field and samples were returned to the laboratory for analysis. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1). Full details about this dataset can be found at https://doi.org/10.5285/ad1bb542-e75c-423f-8421-b247b2f72ce6

Tags: Soil, wildfire
Organization: Environmental Information Data Centre
Land Cover Map 2007 (vector, N. Ireland)

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 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. Dataset consists of vector version, with polygons as classified (Northern Ireland only). Full details about this dataset can be found at https://doi.org/10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb

Tags: LCM2007, Land Cover
Organization: Environmental Information Data Centre
Potential evapotranspiration derived from Climate Hydrology and Ecology Research Support System meteorological gridded climate observations (Hydro-PE CHESS), 1961-2019

This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month. Full details about this dataset can be found at https://doi.org/10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4

Tags: Climate Hydrology and Ecology Research Support Sys, Environmental Monitoring Facilities, potential evaporation, potential evaptranspiration
Organization: Environmental Information Data Centre
Late Quaternary palynological data from the eastern Andean montane forest of Ecuador

Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest of Ecuador. Palaeoecological proxy data were recovered from lake sediments, surface soil and moss pollsters within the eastern Andean cloud forest of Ecuador. Materials and proxy data were collected with the aim of understanding how ecosystem dynamics were driven by anthropogenic, physical and climatic impact through time (late Quaternary). Here, data are provided for pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF). Field samples were collected throughout 2012-2013 from the Napo province of Ecuador and analysed in the laboratory throughout 2014-2015 at The Open University (UK). Full details about this dataset can be found at https://doi.org/10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381

Tags: Neotropics, late Quaternary, non-pollen palynomorphs, palynological, palynology
Organization: Environmental Information Data Centre
Oribatid mites 1998 [Countryside Survey]

This dataset consists of oribatid mite species records (a component of the soil mesofauna), extracted from soils sampled across Great Britain in 1998, as part of the Countryside Survey monitoring programme. 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. Full details about this dataset can be found at https://doi.org/10.5285/05cae9ae-86c4-4a2f-a628-6c7fd0882459

Tags: Acari, Countryside Survey, Environmental Monitoring Facilities, Great Britain, oribatid mites, soil mesofauna
Organization: Environmental Information Data Centre
Winter topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2021

This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from 575 soils sampled from 146 x 1 km squares across Great Britain collected in winter 2021 as part of the UKCEH Countryside Survey. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock from LOI (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), and nitrogen concentration and stock. The UKCEH 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 UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the 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, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. 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 and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1. Full details about this dataset can be found at https://doi.org/10.5285/38d6f5b4-4d03-4006-aa55-91894378ef27

Tags: Environmental Monitoring Facilities, Great Britain, NC UK, SOC, UK-SCAPE, derived carbon concentration, fine earth volumetric water content, soil bulk density of fine earth, soil organic matter
Organization: Environmental Information Data Centre
Woodland ground flora, fine litter fall, and leaf litter feeding invertebrate data from habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2020-2024

All data were collected in 15 plots across Wytham Woods, near Oxford in southern England. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the differences between habitats with varying levels of ash dieback represented by different treatments as outlined in the metadata. Ground flora species and percentage cover collected in May between 2021–2024. Monthly (bi-weekly in autumn) fine litter fall data separated into categories of e.g. twigs, leaves, seeds, etc. Dry weights are available for each category along with days between sampling occasions and litter fall trap size. Data available between 2020–2024. Leaf litter feeding invertebrate data collected on four occasions between September–November 2022. Invertebrate wet weights are available from replicated soil pits and quadrats across 15 plots enabling both spatial and temporal analyses. Full details about this dataset can be found at https://doi.org/10.5285/2dbbe33b-582b-434e-92f6-9c7786a37ce9

Tags: Environmental Monitoring Facilities, ash dieback, fine litter fall, ground flora
Organization: Environmental Information Data Centre
Land Cover Map 1990 (25m raster, N. Ireland)

This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. 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 - purity - 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 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/d446589e-478f-4206-80ed-38a5ff4a7dc0

Tags: Land Cover, Northern Ireland, UK-SCAPE
Organization: Environmental Information Data Centre
Caterpillar masses from grass margins and hedgerows under streetlights, Oxfordshire, UK, 2018-2020

This dataset contains information about moth caterpillar masses at sites lit by streetlights (LED; high pressure sodium and low-pressure sodium) and unlit control sites. Caterpillars were sampled at 26 matched pairs of lit and unlit sites between 2018 and 2020 as part of a study of the effects of street lighting on the early life stages of moths. Full details about this dataset can be found at https://doi.org/10.5285/7d3aa79b-43bb-493f-a14a-0d4c07f9a0d9

Tags: Artificial light at night, Environmental Monitoring Facilities, Street lighting, insect populations
Organization: Environmental Information Data Centre
Quantification of selected antimicrobial resistance genes in pig faeces on a British commercial pig farm during a typical production cycle

The data presented are quantitative polymerase chain reaction (qPCR) read outs from antimicrobial resistance gene (AMRG) assays and associated metadata from this project. In this dataset, the mean gene copy numbers per microlitre of DNA extract are shown. The data were collected from faecal and environmental samples which were obtained from a single British commercial pig unit. The former were collected from the sow housing barn, pig growing houses and slurry tanks within the farm unit and the latter were obtained through random stratified sampling of the farm and the surrounding land. These samples were taken from what will be referred to as the 'main study'. A further study was carried out to obtain samples after a partial depopulation which took place on this farm. Faecal samples were obtained from the sow housing barn, pig growing houses and slurry tanks and will be referred to as the 'depopulation (depop) study'. For the main study, the samples were collected between October 19th 2016 and April 5th 2017. For the depop study, the samples were collected between 19th June 2017 and 13th November 2017. The data associated with all samples were generated between August 1st 2017 and May 1st 2018. Full details about this dataset can be found at https://doi.org/10.5285/e548dc5d-49e3-467d-9435-c199da40e7be

Tags: Agricultural and Aquaculture Facilities, Human Health and Safety, Soil
Organization: Environmental Information Data Centre
Countryside Survey 1998 mapped estimates of Broad Habitat areas in Great Britain

This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1998 in a 1km grid format. The data are national estimates generated by analysing the sample data from 569 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 17 different habitat types. 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 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 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/ad7babc3-6b43-4754-8981-edcf03769f11

Tags: Great Britain, Land Cover
Organization: Environmental Information Data Centre