AndreaBozzo/ceres-open-data-index huggingface dataset:
Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2021-2022

This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. All data are from January 2021 until the end of 2022. Full details about this dataset can be found at https://doi.org/10.5285/4600c752-ee9c-4e04-a95c-f5a5f8fb7f26

Tags: Environmental Monitoring Facilities, Lake District, Lake monitoring , Lake water chemistry, Lake water temperature, NC-UK, UK-SCAPE
Organization: Environmental Information Data Centre
Inventory of reservoirs amounting to 90% of total UK storage

This dataset is an inventory of reservoir details for the UK. It provides information, including reservoir location, type (impounding or non-impounding), use (water resources, hydro-electric, ecological, flood storage, canal), capacity, planning date, construction date, catchment National River Flow Archive (NRFA) gauge references and membership of a reservoir group, based on current usage within the CEH Monthly Hydrological Summary (https://nrfa.ceh.ac.uk/monthly-hydrological-summary-uk). The dataset comprises 273 individual reservoirs, which amount to approximately 90% of total UK reservoir storage. Data quality has been recorded, using a data flag system and a notes section, with references relevant to each reservoir provided. Full details about this dataset can be found at https://doi.org/10.5285/f5a7d56c-cea0-4f00-b159-c3788a3b2b38

Tags: Drought Catalogue, Drought Inventory, Droughts, Historic Droughts, Hydrography, Reservoir 
Organization: Environmental Information Data Centre
Maps showing risk and potential impacts of ozone on sugarcane production in south-central Brazil, 2010-2014

This dataset contains gridded model outputs of the predicted risk to C4 sugarcane production across south central Brazil for 2010-2014. The outputs are given as production in kg m-2 yr-1, percentage of control production (%) and production losses in kg yr-1 and Tg yr-1. The spatial resolution is 1.25 x 1.875 degrees. Three different levels of ozone susceptibility (low, moderate or high) and two distinct threshold values of phytotoxic ozone dose (0 and 2 nmol m-2 s-1) were considered. Full details about this dataset can be found at https://doi.org/10.5285/1513d8ed-67a9-40fc-a8e5-bd7864d0d422

Tags: C4 grasses, O3, bioenergy, sugarcane
Organization: Environmental Information Data Centre
Model estimates of topsoil microbes [Countryside Survey]

Topsoil microbe data - Bacteria. Data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores, Shannon diversity index and Simpson diversity index. Over 1000 samples from 233 1km x 1km squares across Great Britain were sampled in 2007 and analysed. See Emmett et al. 2010 for further details of sampling and Griffiths et al. 2011 for further details of methods. Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 2007 using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see dataset documentation). Please see Scott, 2008 for further details of similar statistical analysis. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. References: Emmett, B.A., Frogbrook, Z.L., Chamberlain P.M., Griffiths R., Pickup R., Poskitt, J., Reynolds B., Rowe E., Rowland P., Spurgeon D., Wilson J., Wood, C.M. (2008). Countryside Survey Technical Report No.03/07: Soils Manual. Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf Griffiths, R.I.; Thomson, B.C.; James, P.; Bell, T.; Bailey, M.; Whiteley, A.S. (2011). The bacterial biogeography of British soils. Environmental Microbiology, 13 (6). 1642-1654. https://doi.org/10.1111/j.1462-2920.2011.02480.x Scott, W.A. (2008). CS Technical Report No.4/07: Statistical Report. Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf Full details about this dataset can be found at https://doi.org/10.5285/53210c27-87fc-46e4-a3d6-e731003dc541

Tags: Broad Habitat, Countryside Survey, Non-metric Multidimensional Scaling ordination (NM, Parent Material Model, Shannon diversity index, Simpson diversity index, Soil
Organization: Environmental Information Data Centre
Reflectance of charcoal from tropical rainforest plots in southern Amazonia, Brazil and southwestern Amazonia, Peru, 2015

This dataset includes charcoal reflectance measurements. The charcoal pieces were collected from the soil surface in tropical rainforest plots in Feliz Natal (southern Brazil, n= 75) and Pucallpa (Peru, n=14) in 2015. In total, 89 charcoal pieces were measured for reflectance. The reflectance measurements were taken in a minimum of 24 and a maximum of 70 repetitions per sample. Full details about this dataset can be found at https://doi.org/10.5285/b2b5498c-8eef-44b0-9610-844784f9f16b

Tags: Reflectance
Organization: Environmental Information Data Centre
High-resolution global topographic index values

[THIS DATASET HAS BEEN WITHDRAWN]. The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. Full details about this dataset can be found at https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da

Tags: Hydrography, Topography, hydrological regimes, inundation, spatial data
Organization: Environmental Information Data Centre
Physiological, morphological and functional traits of encroaching and non-encroaching savanna trees under contrasting CO2 concentrations, water stress, and grass competition, South Africa, 2022

[This dataset is embargoed until January 4, 2027]. This dataset provides physiological, morphological, and functional trait measurements for twelve African savanna tree species belonging to the Vachellia and Senegalia genera (Fabaceae family). The data encompasses six species classified as encroaching (increasing in density in African savannas) and six non-encroaching species, facilitating comparative analysis of traits facilitating encroachment ability. The variables capture sapling responses to a factorial combination of environmental conditions, specifically atmospheric carbon dioxide concentration, water availability, and interspecific grass competition. The dataset details plant performance under elevated CO2 versus ambient CO2 and contrasts well-watered and water-limited conditions. Furthermore, the data includes comparative metrics for trees grown with and without competition from the grass species Themeda triandra. All measurements were derived from saplings grown for 11 months in large pots containing local savanna soil within open-top chambers (Rhodes University Elevated CO2 Facility, Makhanda, South Africa), culminating in physiological assessments and destructive harvesting for morphological analysis. The work was supported by the Natural Environment Research Council (Grant NE/T000759/1). Full details about this dataset can be found at https://doi.org/10.5285/f7b8e72f-9bbe-4a03-8140-fada73e95b8c

Tags: Drought, Elevated CO2, Functional traits, Habitats and Biotopes, Savanna encroachment, Tree-grass competition, Woody thickening
Organization: Environmental Information Data Centre
Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone

Data comprise radionuclide deposition, radioactivity dose measurements, radioactive particle activity and physical characteristic information from soil samples collected within and around the Chernobyl Exclusion Zone (CEZ) following the Chernobyl nuclear accident in 1986. Data include radiocaesium, radiostrontium and soil chemistry parameters from soils collected in 1997, plutonium isotope measurements in soil samples and soil layers collected in 2000 and 2001, 'Hot particle' dataset presenting radionuclide activity and some physical characteristics of 'hot particles' extracted from soils collected in the Ukraine and Poland between 1995 and 1997; and Ivankov region data (radionuclide activity concentrations and natural background dose measurements) from a survey of the Ivankov region, immediately to the south of the CEZ conducted in 2014. Funding for preparing this data set was provided by the EU COMET project (http://www.radioecology-exchange.org/content/comet) and TREE (http://www.ceh.ac.uk/tree) project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf

Tags: Human Health and Safety, radioecology
Organization: Environmental Information Data Centre
Standardised Precipitation Evapotranspiration Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012)

Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 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 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. https://doi.org/10.1175/2009JCLI2909.1 Full details about this dataset can be found at https://doi.org/10.5285/19c230b2-415b-456a-9e93-7b00b730a465

Tags: IHU, Integrated Hydrological Units, Meteorological geographical features, SPEI, climatic water balance, indicator, rainfall extremes
Organization: Environmental Information Data Centre
Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2020-22

This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2020 to 2022. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts. Full details about this dataset can be found at https://doi.org/10.5285/d356bddc-fd06-466a-a206-639711bba7f2

Tags: Atmospheric Conditions
Organization: Environmental Information Data Centre
Integrated Hydrological Units of the United Kingdom: Sections

This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/a6e37e39-9e10-4647-a110-12d902403095

Tags: Great Britain, Hydrography
Organization: Environmental Information Data Centre
Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2025

This dataset consists of plant species presence and abundance in different sizes of plots recorded from 100 1km squares across Great Britain in 2025, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every 5 years. 2025 represents the second year of a new cycle. 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 previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, 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 vegetation data, soil data are also gathered by the current phase of the Countryside Survey. This research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1 (www.countrysidesurvey.org.uk) Full details about this dataset can be found at https://doi.org/10.5285/bf8be82a-a189-4767-9a9a-ebb92d233b8e

Tags: Great Britain, NC-UK, ground flora, vascular plants
Organization: Environmental Information Data Centre
Location data of worker bumblebees across an agricultural landscape in Buckinghamshire, UK

This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field using a handheld GPS unit. Workers were non-lethally DNA sampled between June and August 2011, and genetic analysis used to confirm species and assign individuals to full-sib groups (colonies). 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/a60f52b8-0f9f-44f6-aca4-861cb461a0eb

Tags: Common Carder Bee, Environmental Monitoring Facilities, Insect Pollinators Initiative, bumble bee, bumblebee
Organization: Environmental Information Data Centre
Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland (2018)

This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations. Full details about this dataset can be found at https://doi.org/10.5285/9c87edc2-a9be-4d4c-ae86-827bfeecd20c

Tags: ALPHA sampler, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Headwater stream macrophyte data 2007 [Countryside Survey]

This dataset consists of macrophyte species records, sampled from headwater streams during a survey in 2007. Stream macrophytes in Countryside Survey are surveyed using the standard MTR (Mean Trophic Rank) protocol, which records the presence and extent (on a categorical scale) of macrophytes in a 100m reach. 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/10.5285/249a90ec-238b-4038-a706-6633c3690d20

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Microclimate proxy measurements from a logging gradient in Malaysian Borneo

Temperatures recorded 5cm above the forest floor in a gridded design (1 to 13m distance) within three, 1 hectare forest plots in Sabah, Borneo. The dataset also includes air temperature data from a nearby weather station at the same temporal resolution, and spatially-interpolated measurements of topography and canopy structure in each forest plot at a 1m resolution. iButton temperature measurement 5cm above the forest floor in gridded design (1-13m distance) within three 1-ha forest plots in Sabah, Borneo. Measurements were taken at 20 minute intervals over one continuous month (November 2015). Dataset also includes nearby weather station air temperature data at identical temporal resolution, as well as spatially-interpolated (1-m) measurements of topography and canopy structure in each forest plot. Output of BALI project (NERC funded Human-modified Tropical Forest Programme). Full details about this dataset can be found at https://doi.org/10.5285/17501db1-7a2b-4f4b-8965-f309d2d1c557

Tags: Plant area index, canopy density, canopy height, elevation, leaf area index, logging
Organization: Environmental Information Data Centre
Diet of common guillemot and razorbill at East Caithness, Buchan Ness to Collieston Coast and Isle of May in 2017

This dataset contains prey items of common guillemot Uria aalge and razorbill Alca torda observed during the 2017 breeding season at East Caithness Special Protection Area, Buchan Ness to Collieston Coast Special Protection Area and Isle of May National Nature Reserve, off the east coast of Scotland. Full details are provided in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/62b58c5c-b733-426c-a6ea-61b3d9684b33

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2007 (1km dominant target class, GB) v1.2

This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent 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/10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2

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