AndreaBozzo/ceres-open-data-index huggingface dataset:
Historic Standardised Precipitation Index time series for IHU Hydrometric Areas (1862-2015) v2

Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al., 2015; https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3). 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 hydrometric areas (1961-2012)' [SPI_IHU_HA] (Tanguy et al., 2015; https://doi.org/10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1), 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 documentation 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/d8655cc9-b275-4e77-9e6c-1b16eee5c7d5, 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/a754cae2-d6a4-456e-b367-e99891d7920f

Tags: Drought , Drought Catalogue , Drought Indicator , Drought Inventory , Historic Droughts, Meteorological geographical features, Rainfall extremes, SPI, Standardised Precipitation Index , Water Scarcity 
Organization: Environmental Information Data Centre
Countryside Survey 1984 mapped estimates of linear feature lengths in Great Britain

This dataset consists of stock (length) data for linear features across Great Britain in 1984 in a vector format. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths per 1km square for seven different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/362bff26-d2ca-4700-b1f0-22072f4bc0cc

Tags: Great Britain, Habitats and Biotopes, banks, fences, grass strips, hedges, tree lines, walls
Organization: Environmental Information Data Centre
Strain measurements on 21 trees in Wytham Woods, UK

This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics. The strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or data.ecn.ac.uk). Full details about this dataset can be found at https://doi.org/10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc

Tags: Atmospheric Conditions, Habitats and Biotopes, Meteorological geographical features, biomechanics, resonant frequency, strain, wind damage
Organization: Environmental Information Data Centre
National Plant Monitoring Scheme survey data (2015-2018)

This data resource provides plot-level plant occurrence data for the first four years (2015-2018) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2018. 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. Please be aware that this dataset is updated annually and that more recent versions exist. Full details about this dataset can be found at https://doi.org/10.5285/79604721-049b-42ab-a8d7-a9c8b18a193f

Tags: NPMS, National Plant Monitoring Scheme, Species Distribution, UK-SCAPE
Organization: Environmental Information Data Centre
Land Cover Map 2007 (25m raster, GB)

[THIS DATASET HAS BEEN WITHDRAWN]. Land Cover Map 2007 (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. This dataset consists of the 25m raster version for Great Britain only. Full details about this dataset can be found at https://doi.org/10.5285/a382af78-129e-4326-a561-d3034b72c4a3

Tags: CEH Biodiversity Programme, CEH Project NEC03259, Great Britain, LCM2007, Land Cover, habitats and biotopes
Organization: Environmental Information Data Centre
Nitrogen deposition in the UK at 1km resolution, 1990-2017

This dataset contains total nitrogen (N) deposition at a 1km x 1km resolution in the UK, annually from 1990 to 2017. N deposition is presented as reduced N (NHx) and oxidised N (NOy), both of which are split into wet and dry portions. Values are given for forest and moorland land cover, as well as a weighted mean to each grid cell (‘grid average’). Full details about this dataset can be found at https://doi.org/10.5285/9b203324-6b37-4e91-b028-e073b197fb9f

Tags: Atmosphere, Atmospheric Conditions, Emissions , Environmental Monitoring Facilities, United Kingdom
Organization: Environmental Information Data Centre
Forest inventory and lightning strikes data from Ankasa Conservation area, Ghana, 2018-2021

This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021. We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data. Full details about this dataset can be found at https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003

Tags: Forest Inventory, Tree mortality, lightning
Organization: Environmental Information Data Centre
Location and identification of water sample sites from the Wolf and Tamar catchments

This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with datasets describing water bacteria and water eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46

Tags: Environmental Monitoring Facilities, South West project, Tellus
Organization: Environmental Information Data Centre
Behavioural data on individual wild adult field crickets (Gryllus campestris) in a meadow in Northern Spain in May and June, 2022

We provide basic morphological and life history data (size, lifespan, emergence date) and behavioural data (number of matings, fights and burrow use) on a population of wild field crickets (Gryllus campestris) in a meadow in N. Spain, from May to June 2022. Crickets were individually tagged with a 2 letter code as they became adult so they could be recognised on the video recorded 24 hours a day using infra-red video cameras that monitored up to 140 burrows simultaneously. Video was watched manually by a single observer who recorded the traits listed above. Crickets were weighed using a 0.1mg accurate balance on the day of their emergence to adulthood. Their emergence was observed using the video cameras. Their lifespan was determined by observation of their being killed by a predator on the video camera, or because they disappeared from observation and were not seen subsequently. Matings, fights and burrows used were directly observed from the video. These data were acquired to assess behavioural thermoregulation in crickets in the wild and were collected by researchers at the University of Exeter. Full details about this dataset can be found at https://doi.org/10.5285/caddc526-9d70-4c06-9d9a-abb73836f609

Tags: Gryllus campestris
Organization: Environmental Information Data Centre
Somatic and physiological data for three-spined sticklebacks, 2005-2008 [Endocrine Disruption in Catchments (EDCAT)]

This dataset comprises characteristics of three-spined stickleback fish including length, weight, sex, condition factor (K-factor), cortisol and glucose concentration, RNA:DNA ratio and ethoxyresorufin-O-deethylase activity normalised to liver homogenate protein concentration. These data were collected by the Centre for Ecology & Hydrology from three-spined sticklebacks (Gasterosteus aculeatus L.) captured in the River Ray (south west England) at sites downstream of an urban waste water treatment works (Rodborne WWTW) prior to (2005-2007), and following (2008), remediation of the WWTW effluent with granular activated carbon (GAC) tertiary treatment. During the same period fish were also sampled from neighbouring reference rivers (R. Ock, Childrey Brook). Full details about this dataset can be found at https://doi.org/10.5285/3322cccd-95fe-4cc9-baf8-48cddd03433d

Tags: Childrey Brook, EDCAT, Environmental Monitoring Facilities, River Ock, River Ray, South West
Organization: Environmental Information Data Centre
Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015)

Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater levels have been estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. Probability estimates of an SGI being less than 0, -1, -1.5 and -2 are also provided. Full details about this dataset can be found at https://doi.org/10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc

Tags: Borehole, Drought catalogue, Drought indicator, Drought inventory, Droughts, Geology, Historic Droughts, Hydrography, SGI, Standardised Groundwater level Index, Water scarcity
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) global positioning system (GPS) locations of survey quadrats in saltmarsh and mudflat habitats

The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/e07386ba-f7a8-490d-99f7-1ce1ae14e95d

Tags: BESS, CBESS, GNSS, GPS, Habitats and Biotopes, Surface elevation, dGPS, geolocation, geopositioning, mudflat, quadrat, salt marsh
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site location data 2013

This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). Full details about this dataset can be found at https://doi.org/10.5285/03fbc322-967a-44aa-aab9-0281d9f53d84

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Mean and variability of topsoil organic carbon concentrations across Great Britain at 1km resolution from an ensemble of eight digital soil maps

This dataset presents the mean topsoil (0-15 cm) organic carbon concentration (g kg-1) and measures of its variability at 1 km resolution across Great Britain. The mean and variability metrics were calculated from an ensemble of eight previously published digital soil maps applied to all 1 km grid cells across GB where data were available from all eight maps. Four of the maps were generated from the 2007 UKCEH Countryside Survey topsoil data, two of which are available online to use. Two maps are from the International Soil Reference and Information Centre, ISRIC: SoilGrids250m v.1 (2017) and v.2 (2020) which are free to download. Two maps are from the EU’s Joint Research Centre (JRC): the OCTOP map of 2004 and LUCAS map of 2014 which are both free to download. The dataset comes in the form of a seven-band raster tiff file, with each band representing the following: 1. Mean predicted soil organic carbon concentration (g kg-1) of all eight maps at each 1 km grid cell 2. Standard deviation (g kg-1) of all eight maps at each 1 km grid cell 3. Coefficient of variation (unitless; the standard deviation divided by the mean) at each 1 km grid cell 4. Signal to noise ratio (unitless; the mean divided by the standard deviation) at each 1 km grid cell 5. Name of the map that deviates the most from the ensemble mean at each 1 km grid cell 6. Relative size (%) of the largest difference from the ensemble mean at each 1 km grid cell 7. Relative size of the largest difference from the ensemble mean expressed as the number of standard deviations exceeded at each 1 km grid cell 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/c3b400ea-f603-4bc2-9225-5f1abfa9fe65

Tags: Countryside Survey, Great Britain, Soil, Soil Organic Carbon, Topsoil, UK-SCAPE
Organization: Environmental Information Data Centre
Mathematically modelled daily water saturation profiles for sites on the Namoi River floodplain in south-east Australia at different distances from the river

This dataset comprises mathematically modelled data of soil-water saturation, along vertical profiles, at 6 sites near the Namoi River, south-eastern Australia. The vertical profiles span the soil surface down to 10m deep, divided into 944 intervals. The 6 sites are located at different distances from the Namoi River and are split between 2 locations (Old Mollee and Yarral East). The distances from the river channel at each location are, Old Mollee: 50m, 140m and 320m, and Yarral East: 40m, 110m and 290m. The dataset underpins figures presented in Evans et al. (2018). The data were modelled as part of a PhD project funded by the Natural Environment Research Council and the National Trust. Full details about this dataset can be found at https://doi.org/10.5285/5f2e06df-d141-4549-95b6-6a56300fc790

Tags: Naomi River, Subsurface hydrology, mathematically modelled data, riparian soil water, water saturation
Organization: Environmental Information Data Centre
Socio-economic survey of domestic groundwater handling and use for source owners in Kisumu, Kenya in 2014

This datasets contains the anonymised results of a survey of well owners in Kisumu, Kenya. Data includes information on the amount of water abstracted daily from the well and ways in which this water was used and handled, information on other sources of water (e.g. piped utility water and rainwater) and how this is used, and the assets and services that the well owner has access to. Answers from questions to assess food poverty are also included. The surveys were carried out during February and March 2014 and include data from 51 well owners. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme. Full details about this dataset can be found at https://doi.org/10.5285/4ca855a3-752c-4492-8e26-3438652dd35c

Tags: Kisumu, Manyatta, Migosi, latrines, water wells
Organization: Environmental Information Data Centre
Woodland structural data derived from LiDAR for the year 2011 in the Isle of Wight

This dataset contains height, foliage height diversity, mean crown area, tree count, bedrock, elevation, age, aspect and slope data for woodlands under 1ha in size that were also covered by Defra’s LiDAR survey in the year 2011 in the Isle of Wight. These data were collected to see if the presence of an adjacent older neighbour affects woodland structure and height in recently created woodlands. Data was processed by the author under NERC Grant NE/S007458/1 PANORAMA - A Yorkshire partnership for training in environmental careers Full details about this dataset can be found at https://doi.org/10.5285/206f93ea-2d8b-4276-b29c-e3be67a0cb60

Tags: Environmental Monitoring Facilities, Woodland structure, canopy height, foliage height diversity, woodland restoration
Organization: Environmental Information Data Centre
Soil moisture data obtained from prototype neutron probes at a centre-pivot irrigation site, Bahia state, Brazil, 2023

This dataset contains daily soil moisture estimates using prototype cosmic ray neutron sensors. The sensors were deployed in a centre-pivot irrigation site in the state of Bahia, Brazil, and measurements were taken hourly between June and December, 2023. The dataset includes daily averages of volumetric water containment, which have been corrected for environmental effects. This dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation and is supported by NERC (NE/W004364/1). Full details about this dataset can be found at https://doi.org/10.5285/a2c87e47-6f85-4bee-9a54-ecb1bb5b3573

Tags: centre pivot irrigation, cosmic-ray sensor
Organization: Environmental Information Data Centre