AndreaBozzo/ceres-open-data-index huggingface dataset:
Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2018-2019

This dataset consists of measurements of topsoil (0-15 cm) physico-chemical properties from soils sampled from the first 106 1-km squares across Great Britain in 2018 and 2019 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. 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. Full details about this dataset can be found at https://doi.org/10.5285/821325f3-b353-4a51-8db2-6b2200d82aca

Tags: Environmental Monitoring Facilities, SOC, Soil, UK-SCAPE, bulk density of fine earth, derived carbon concentration, fine earth volumetric water content, pH, total soil organic carbon
Organization: Environmental Information Data Centre
Abundance of carabid ground beetles from pitfall trapping on farmland sites in Oxfordshire and Buckinghamshire, 2022

This dataset contains unmodified abundances of carabid ground beetle species from a pitfall trap survey across a series of farmland sites in Southern England. Sampling took place in August and September of 2022, in five landholdings in Oxfordshire and Buckinghamshire. Each parcel was sampled with between 3 and 9 pitfall traps, depending on size and microhabitat heterogeneity. Unmodified abundances at the species level, cross-classified by parcel and by pitfall, are contained within this dataset. The intent for the experimental design was to cross classify abundances of key predatory invertebrates by habitat type and condition. Full details about this dataset can be found at https://doi.org/10.5285/afd4cb7e-a37e-48c6-a0ff-e07afd2f5199

Tags: pitfall trapping
Organization: Environmental Information Data Centre
National Plant Monitoring Scheme survey data (2015-2019)

This data resource provides plot-level plant occurrence data for the first five years (2015-2019) 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 2019. 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/cdb8707c-eed7-4da7-8fa3-299c65124ef2

Tags: NPMS, National Plant Monitoring Scheme, Species Distribution, UK-SCAPE
Organization: Environmental Information Data Centre
Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia

Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: reduced vegetation cover, normal vegetation management and enhanced vegetation cover. There were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought. The project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1. Full details about this dataset can be found at https://doi.org/10.5285/592051e6-016f-49c6-9ef9-799a0f842100

Tags: oil palm
Organization: Environmental Information Data Centre
Physical, chemical and biological properties of European grassland soils subjected to laboratory climatic disturbance

This dataset comprises soil and environmental data for multiple European grassland soil samples which had been subjected to multiple climatic disturbances in the laboratory (including temporal responses to heat, freezing, flooding and drought). The data include information on sample provenance (site, replicate, treatments imposed, site description, etc.); measured metrics including functional measures (greenhouse gas fluxes, enzymes) and soil properties; and accession numbers for molecular data submitted to the European Nucleotide Archive. Full details about this dataset can be found at https://doi.org/10.5285/4ff83dca-b836-469c-864d-69a34ff904f9

Tags: Environmental Monitoring Facilities, Grassland microbes, Soil biological analyses, Soil chemical analyses, Soil functional analyses, Soil functions, Soil physical analyses, Soil sampling
Organization: Environmental Information Data Centre
Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data

This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or "HMF-WA" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project. Full details about this dataset can be found at https://doi.org/10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4

Tags: African Monsoon Multidisciplinary Analysis AMMA, West Africa
Organization: Environmental Information Data Centre
Bird Vocalisation Activity (BiVA) database: annotated soundscapes from the Chernobyl Exclusion Zone

Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine. A single continuous recording of twelve hours of audio from midday until midnight on the 25th June 2015 was manually annotated by an expert (using Raven Pro interactive sound analysis software). The dataset comprises the resultant five wave files (stereo .wav sampled at 48 kHz) and five annotation files (text files with the same name as the associated wave file). Full details about this dataset can be found at https://doi.org/10.5285/be5639e9-75e9-4aa3-afdd-65ba80352591

Tags: COMET, Chornobyl, Environmental Monitoring Facilities, TREE, TRansfer - Exposure - Effects, birdsong
Organization: Environmental Information Data Centre
Model estimates of topsoil invertebrates [Countryside Survey]

Countryside Survey topsoil invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. For invertebrate data, a total of 947 cores from 256 1km x 1km squares across Great Britain were analysed in 2007. Please see Emmett et al. 2010 for further details of sampling and methods (http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Estimates of mean values within selected habitats and parent material characteristics across GB were made using CS data from 1978, 1998 and 2007 using a mixed model approach. Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). 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 Supporting Information). 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. Full details about this dataset can be found at https://doi.org/10.5285/f19de821-a436-4b28-95f6-b7287ef0bf15

Tags: Acari, Broad Habitat, CEH Biodiversity Programme, Collembola, Countryside Survey, Microarthropods, Parent Material Model, Soil, Springtail, Taxa richness
Organization: Environmental Information Data Centre
Flammability metrics from cone calorimetry for common wildfire fuels sampled in Great Britain from 2021-2023

This dataset contains flammability metrics for fuel types that are commonly involved in wildfires in the UK. Flammability data were obtained by cone calorimetry, and include measures of ignitibility (time to ignition), peak heat release rate, total heat release, and effective heat of combustion. The dataset contains the results of 1634 tests on 833 fuel samples, with 801 of these being tested in duplicate. Samples were obtained between January 2021 and October 2023 from 22 sites across Great Britain. Calorimetry data are matched to weather data obtained at times of sampling, and fuel moisture contents obtained by weighing samples before and after drying. The data will be used to assess comparative fire risk between vegetation types, and to refine inputs for fire behaviour modelling. Full details about this dataset can be found at https://doi.org/10.5285/45af9c3d-999d-44dd-83fc-b4d81632967d

Tags: Environmental Monitoring Facilities, Great Britain, cone calorimetry, flammability, fuel moisture, heat content, heat of combustion, heat release, ignitibility, wildfire
Organization: Environmental Information Data Centre
Acoustic bat data, Cairngorms 2014

This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic loggers for 185 days (31/04 to 01/11/2014) in an upland pine forest in the Cairngorms National Park, Scotland. Full details about this dataset can be found at https://doi.org/10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486

Tags: Environmental Monitoring Facilities, Pipistrelle, activity, bat, bioindicator, common Pipistrelle, environmental driver, soprano Pipistrelle, upland
Organization: Environmental Information Data Centre
Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020

This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics. Full details about this dataset can be found at https://doi.org/10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c

Tags: Glacial lake outburst floods, Hydrodynamic flood modelling
Organization: Environmental Information Data Centre
Daily and sub-daily hydrometeorological and soil data (2013-2017) [COSMOS-UK]

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2017. These data are from 46 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and radiation data which are used to derive potential evapotranspiration at a daily resolution. 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/a6012796-291c-4fd6-a7ef-6f6ed0a6cfa5

Tags: COSMOS-UK, Environmental Monitoring Facilities, UK, UK-SCAPE, absolute humidity, air temperature, atmospheric pressure, cosmic-ray sensing probe, net radiation, potential evapotranspiration, relative humidity, soil heat flux, soil temperature, wind direction, wind speed
Organization: Environmental Information Data Centre
Mammal detection data for the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]

This data set contains stacked detection matrices for 28 recorded mammal species across 115 sampling locations at the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo. Information for each camera trap sampling location, including spatial information and sampling effort is included. Data were collected in order to determine the contribution of carbon-based policies to biodiversity conservation in agricultural land-use mosaics. These data are essential to the development of the occupancy detection matrix. Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme. Full details about this dataset can be found at https://doi.org/10.5285/62774180-ae72-4873-9482-e8be3935f533

Tags:  Stability of Altered Forest Ecosystems (SAFE),  oil palm, Human-modified tropical forest (HMTF), fragmentation, human-modified landscape , occupancy
Organization: Environmental Information Data Centre
Land Cover Map 2019 (25m rasterised land parcels, GB)

This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2019 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. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. 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/f15289da-6424-4a5e-bd92-48c4d9c830cc

Tags: Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Fire emissions data before and after peatland restoration, Indonesia, 2004-2015

This dataset contains fire emissions from Equatorial Asia for the years 2004, 2006, 2009, 2012, 2014 and 2015. The data is based on the Fire Inventory from National Center for Atmospheric Research with the addition of emissions from Indonesian peat fires, which contribute substantially to fire emissions in the region. The files for each year contain daily information on the area burned and emissions of several species, including CO, CO2 and PM2.5. Data is given for individual fires at 1km resolution. Fire emissions are provided for each year both for fires as measured, and under a scenario where degraded peatland in the region has been partially restored, reducing fire emissions. Full details about this dataset can be found at https://doi.org/10.5285/fdae44ed-8b22-4935-b889-b4b271138385

Tags: Indonesia
Organization: Environmental Information Data Centre
Land Cover Map 2020 (10m classified pixels, GB)

This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty). This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. A full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data. Full details about this dataset can be found at https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7

Tags: Biodiversity Action Plan, Great Britain, Land Cover
Organization: Environmental Information Data Centre
Tree census data from secondary subtropical forests invaded by Ligustrum lucidum, Horco Molle, Argentina, 2020-2023

The data resource consists of tree census data and shapefiles about plots established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. An experiment was conducted to investigate management control of the invasion of nonnative species Ligustrum to restore native tree diversity from June 2020 to November 2023. The data includes the census of 6 plots (240 metres by 140 metres, 3.36 hectares for each plot, the location specified in the shapefile), with arbitrary coordinates (x for the longest side and y for the shortest) to assess the location of each tree. For each tree stem, a tagged ID was assigned and the species recorded, the presence of secondary stems, its perimeter at breast height, the number of small stems, the number of death stems, stem shape and stem fusion. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management Full details about this dataset can be found at https://doi.org/10.5285/c3295206-052a-4c87-911a-75d357791b5c

Tags: Horco Molle experimental reserve, Subtropical secondary forest, forest census, invaded forest, invasive alien species, montane forest, superinvader
Organization: Environmental Information Data Centre
Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024

This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the detection zone of camera traps and movement speed calculated from video files in a subset of open spaces from June to December 2024. Additionally, a file is present describing the mean number of domestic dogs at each camera for every month along with a file showing set-up and take-down times of each camera at each site. Data was collected by the GALLANT (Glasgow as a Living Lab Accelerating Novel Transformation) WP2 team as part of a study aiming to validate visual biodiversity surveys performed by the Glasgow City Council. Full details about this dataset can be found at https://doi.org/10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Dissolved Oxygen concentrations from Durleigh Reservoir, 2018

This dataset contains Dissolved oxygen concentrations from two different locations in Durleigh Reservoir in Somerset, England. Two miniDOT oxygen loggers were fitted with miniWIPERs and deployed at two locations in Durleigh on 30 May 2018. Both sensors were collected on 5 October 2018 and the raw data files are presented in this dataset. Full details about this dataset can be found at https://doi.org/10.5285/26b35c45-c174-4930-b82c-bcd0d23c39e1

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre