AndreaBozzo/ceres-open-data-index huggingface dataset:
Water quality survey of streams across Wales: runoff from forested and felled catchments draining a range of soil types

This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient and standard water quality measures such as pH and Gran alkalinity. Opportunistic sampling was undertaken with the aid for Forest Enterprise staff to sample sites at periods of both dry and very wet weather in order to assess the water quality under baseflow and stormflow conditions, respectively, to assess groundwater and soil endmember chemistries. The work was undertaken as part of a joint NERC, Environment Agency and Forestry Commission funded study to examine the impacts of conifer harvesting and replanting on upland water quality (Neal et al., 1998). Small catchment sites (2 to 5 ha) were chosen single tree and soil type at each location. Across the sites, the number of samplings varied between 1 and 10 depending upon feasibility of sampling. The monitoring period was from the 7th September 1995 up to the 18th November 1997.The scope and range of the Welsh survey work together with the findings are provided by Neal et al., 1998. Full details about this dataset can be found at https://doi.org/10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f

Tags: Environmental Monitoring Facilities, stream
Organization: Environmental Information Data Centre
E. coli counts of fresh cattle faeces from the North Wyke Farm Platform

The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours. Two cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months. Full details about this dataset can be found at https://doi.org/10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Monthly ammonia measurements from passive samplers using ALPHA® PTFE1020 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022

This dataset consists of monthly ammonia (NH3) measurements from ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying Atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for validation of a new PTFE membrane for ALPHA® samplers prepared at UKCEH Edinburgh research laboratory. Full details about this dataset can be found at https://doi.org/10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81

Tags: Ammonia monitoring, Atmospheric Conditions, new membrane, passive sampler
Organization: Environmental Information Data Centre
Eddy covariance measurements of carbon dioxide, energy and water fluxes at an organically managed grassland, Berkshire, UK, 2017 to 2019

This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at an area of organically managed grassland located on the Berkshire Downs, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 1st January 2017 and 31st July 2019. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. 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/10.5285/5a93161f-0124-4650-a2c9-7e8aaea7e6bb

Tags: Soil, UK-SCAPE
Organization: Environmental Information Data Centre
Experimental data on herbivorous pest insects, predatory insect occurrence and population growth rates of artificially established aphids from three crops

This dataset contains percentage cover of plants, mean numbers of aphids, mean counts of predators and mean counts of herbivores on three crops (field bean, wheat and oilseed rape) within different grassland types (improved, restored and species rich). Data were collected in 2013 on five farms in the Salisbury Plain area of the UK as part of the Wessex Biodiversity and Ecosystem Services Sustainability (BESS) project within the UK Natural Environment Research Council (NERC) BESS programme. This data set was used to provide an assessment of the potential for different grassland types to provide natural pest control ecosystem services. The study uses sentinel plants of the three crops established in the grasslands to monitor herbivorous pest insects, predatory insect occurrence and the population growth rates of artificially established aphids. Full details about this dataset can be found at https://doi.org/10.5285/4c02ae08-5703-46f4-947e-80e5d0a34a28

Tags: Coccinellidae, Environmental Monitoring Facilities, Wessex BESS, aphid, field bean, oilseed rape, predatory beetles, wheat
Organization: Environmental Information Data Centre
Mapped stream networks for the Mundeni Aru, Maduru Oya and Miyangolla Ela river basins in eastern Sri Lanka

This dataset provides stream networks for three river basins in eastern Sri Lanka (Mundeni Aru, Maduru Oya and Miyangolla Ela). The stream networks were developed for use in hydrologic modelling and are provided as shapefiles. The work was supported by the Natural Environment Research Council (Grant NE/S005838/1). Full details about this dataset can be found at https://doi.org/10.5285/0537af26-5cab-4381-aca0-d997db421111

Tags: Hydrologic modelling, Miyangolla Ela, stream network
Organization: Environmental Information Data Centre
Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest, UK, 2024

This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). Data is an extension for the AWS datasets 1999-2015, 2015-2016, 2016-2021, 2022-2023 and covering the time period January 2024 to December 2024. Data are logged in minute intervals, averaged to half-hourly. Data are sent from the field site to a UKCEH server. A working copy is created, quality assurance checks carried out and daily averages calculated from half-hourly records. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Note, the rainfall sensor was broken during this time period, but the column is kept in the datafile for consistency with previous data records. Data collection, processing and quality checking was carried out by members of CEH and UKCEH staff. The following measures were taken with sensors from Campbell Scientific: Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed were recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field. Full details about this dataset can be found at https://doi.org/10.5285/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a

Tags: Environmental Monitoring Facilities, NC-UK, meteorological data
Organization: Environmental Information Data Centre
Land Cover Map 2000 (vector, GB)

This dataset consists of the vector version of the Land Cover Map 2000 for Great Britain, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 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. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 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. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/b79e887e-a2a7-4224-8fd7-e78066b950b3

Tags: Great Britain, Habitats, Land Cover
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) soil solution chemistry data: 1992-2015

Soil solution data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. These data are collected by suction samplers at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1992 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/b330d395-68f2-47f1-8d59-3291dc02923b

Tags: Alice Holt, DOC, Drayton, Environmental Change Network, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, North Wyke, Rothamsted, Soil, Sourhope, Wytham, Yr Wyddfa - Snowdon, alkalinity, magnesium, pH, potassium, sodium, water
Organization: Environmental Information Data Centre
Future flows climate data

Future Flows Climate (FF-HadRM3-PPE) is an eleven-member ensemble climate projection for Great Britain at a 1-km resolution spanning from 1950 to 2098. It was specifically developed for hydrological application and contain daily time series of Available Precipitation, which is the precipiated water available to hydrological processes after delays due to snow and ice storage are accounted for; and monthly reference Potential Evapotranspiration calculated using the FAO56 method. Future Flows Climate is derived from the Hadley Centre's Regional climate projection ensemble HadRM3-PPE based on 11 different variants of the regional climate model run under the SRES A1B emission scenario. HadRM3-PPE is underpinning the UKCP09 products. Bias correction and spatial downscaling were applied to the total precpitation and air temperature variables before Future Flows Climate APr and PE were generated. The development of Future Flows Climate was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/bad1514f-119e-44a4-8e1e-442735bb9797

Tags: Atmospheric Conditions
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) stream water discharge data: 1993-2015

Stream water discharge data from the UK Environmental Change Network (ECN) terrestrial sites. The data (stage and discharge) are collected by loggers at ECN's terrestrial sites (where a stream is present) using a standard protocol. They represent continuous 15-minute records from 1993 to 2015. The sites at which these data are collected are: Glensaugh, Moor House - Upper Teesdale, Sourhope, Wytham and Y Wyddfa (Snowdon). ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/8b58c86b-0c2a-4d48-b25a-7a0141859004

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, flux, runoff, stage, stream, water discharge, water flow
Organization: Environmental Information Data Centre
Land Cover Map 2017 (25m rasterised land parcels, GB)

This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. 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/10.5285/499212cd-d64a-43ba-b801-95402e4d4098

Tags: Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Land Cover Map 2007 (1km dominant aggregate class, N. Ireland) v1.2

This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. 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 and also 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. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0

Tags: Land Cover
Organization: Environmental Information Data Centre
High temporal resolution meteorology and soil physics observations from INCOMPASS land surface stations in India, 2016 to 2018

The dataset contains time series observations of meteorological and soil physics variables logged at one minute time resolution at three Land Surface Stations in India. The three INCOMPASS Land Surface Stations were located at: (1) agricultural land in Southern Karnataka (Berambadi); (2) the University of Agricultural Sciences in Dharwad in northern Karnataka; and (3) a semi-natural grassland at the Indian Institute of Technology in Kanpur (IITK), Uttar Pradesh. Observations were collected under the Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) Project between January 2016 and January 2019. Full details about this dataset can be found at https://doi.org/10.5285/c5e72461-c61f-4800-8bbf-95c85f74c416

Tags: Air temperature, Barometric pressure, INCOMPASS, INteraction of Convective Organisation with Monsoo, Incoming long wave radiation, Incoming short wave radiation, Kanpur, Net radiation, Outgoing long wave radiation, Outgoing short wave radiation, Relative humidity, Soil heat flux, Soil temperature, Surface flux, monsoon, rainfall, wind direction, wind speed
Organization: Environmental Information Data Centre
Pike growth data 1944-1995

This dataset consists of growth (length) data on Pike (Esox lucius) from net sampling in Windermere. Data collection began in 1944. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/637d60d6-1571-49af-93f7-24c1279d884d

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Nutrient chemistry of Arctic Lakes in Greenland, Norway, Russia and Alaska

This dataset contains nutrient chemistry data from 14 lakes in the Arctic region: 4 in Russia and Alaska and 3 in Greenland and Norway. Nutrient chemistry was measured on one occasion only at each lake, with date of collection ranging from 01/04/2011 to 14/03/2014. The following nutrients were measured: total phosphorus, soluble reactive phosphorus, total nitrogen, nitrate, ammonium, chlorophyll a, silicate, sodium, magnesium, potassium, calcium, sulphate, chloride and dissolved organic carbon. All nutrients were measured using standardised methods and the same methods were used between lake samples. The data were collected as part of the Lakes and the Arctic Carbon Cycle (LAC) project, which is funded under NERC's Arctic Research Programme. Full details about this dataset can be found at https://doi.org/10.5285/b6f1e1a4-1f3b-4b74-99e5-651ade10f32c

Tags: Environmental Monitoring Facilities, chlorophyll a, magnesium, potassium, silicate, sodium
Organization: Environmental Information Data Centre
Effects of different intensities of artificial light at night on multi-trophic population dynamics

The dataset contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different intensities of artificial light at night on an experimental insect food web with control (no light), and white LED light with 0.1,1,5,10,20,50,100 lux. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. The field experiment was set up on 29th July 2016 and ran for nine weeks, while the additional experiments were conducted between summer 2016 and spring 2018. The data have been sampled as part of the NERC project NE/N001672/1 "Effects of artificial light on multi-trophic population dynamics". Full details about this dataset can be found at https://doi.org/10.5285/d30168d3-6cbb-4d75-b73c-276e6083a1fe

Tags: Habitats and Biotopes
Organization: Environmental Information Data Centre
Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape in Buckinghamshire, UK

Geographic distances between pairs of wild bumblebee colonies across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Colony locations were estimated using the foraging locations of workers sampled in summer 2011, genotyped and grouped into full-sib families. The spatial structure of five Bombus species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum and B. ruderatus) was determined, with inter-colony distances varying from 7 to 5264 metres. Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative. Full details about this dataset can be found at https://doi.org/10.5285/8b3f4857-9809-43cb-b2aa-a988e64a5449

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
The Isle of May long-term study (IMLOTS) seabird annual return rate 1988-2021

This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that were also observed in the previous year for the Atlantic puffin (Fratercula arctica), common guillemot (Uria aalge), razorbill (Alca torda), European shag (Phalacrocorax aristotelis) and black-legged kittiwake (Rissa tridactyla). Not every individual is seen in any one year and the data set does not take into account those missed in any previous years hence these data are not to be treated as survival estimates. In the dataset, each year is represented by a single row of data, there are five columns showing the calculated return rates for each species (indicated by its common name and suffixed 'RR'). The figure quoted in any row is the proportion of marked birds which are observed by the end of the stated breeding season. Each row also contains the number of individuals seen in that year and the number seen in the previous year, taking into account new individuals which are marked. Full details about this dataset can be found at https://doi.org/10.5285/1624fe45-0deb-4bcd-9f13-75578693aaae

Tags: Atlantic Puffin, Black-legged kittiwake, Common guillemot, Environmental Monitoring Facilities, European shag, Long-term data, Razorbill, Return rate, UK-SCAPE
Organization: Environmental Information Data Centre