AndreaBozzo/ceres-open-data-index huggingface dataset:
Socioecological data from smallholder oil palm plantations in Riau, Sumatra, Indonesia, 2021-2022

This dataset includes results from biodiversity, social and environmental surveys of 46 oil palm smallholders and farms in Riau, Indonesia. Biodiversity data includes: pitfall trap data on arthropod abundance and higher-level order identification, sticky trap data on flying invertebrate abundance (identified to higher-level order), transect data on assassin bugs, Nephila spp. spiders and butterflies (identified to species), counts of insects visiting oil palm inflorescences if any open (identified to Elaeidobius kamerunicus and higher-level orders for other groups) and data on meal worm removal from each plot. Environmental data includes: soil temperature readings recorded over 24 hours, information on size of plot, crop type and cover, GPS location, vegetation cover, vegetation height, canopy density, epiphyte cover, soil pH, soil moisture, leaf litter depth, horizon depths, palm herbivory and palm health. Social data includes information (all anonymised) on: plot area, number of palms, sociodemographic data, plantation management practices applied, knowledge and value assigned to wildlife, and yield. Data were collected from November 2021 to June 2022. Full details about this dataset can be found at https://doi.org/10.5285/b61a12a2-d091-41af-b451-a14de4f4a3c3

Tags: Riau, oil palm, smallholder, social
Organization: Environmental Information Data Centre
Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-daily]

This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides daily mean river flow (m3/s) for 260 catchments, for the period 1891 to 2015. The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/). Full details about this dataset can be found at https://doi.org/10.5285/0ceb4f85-0bbf-49f0-ab70-cfc137ab7d4d

Tags: G2G, Great Britain, Grid-to-Grid, Hydrography, River flow
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) population bioturbation potential in mudflat and saltmarsh habitats

The dataset details population bioturbation potential (BPp) across 6 intertidal sites in the winter and summer of 2013. The data provide an index of bioturbation potential of invertebrate species populations present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals were identified to species (or most appropriate taxon), counted and weighed. The resulting abundance and biomass data were then used to calculate BPp of each individual species present within a sample. BPp data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, at the 1m scale. 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/10.5285/6d06122c-c856-4127-b7a5-34059d0e48e7

Tags: BESS, CBESS, Habitats and Biotopes, Macona balthica
Organization: Environmental Information Data Centre
Soil physical, chemical and biological measurements in the Conwy Catchment (North Wales) 2013 and 2014

The data consist of general physical, biological and chemical parameters for soil samples taken in the Conwy catchment in North West Wales. Samples were collected between 2013 and 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil cores were taken to a depth of 1 metre and divided into 15 centimetre (cm) depth increments. General soil physical and chemical parameters were measured at each depth increment for most of the sites. Biological (root and fine root biomass) parameters were assessed in the topsoil 0-15 cm in 5 cm intervals. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model. Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/6566a706-9c55-4f7f-b33d-27bc29c73274

Tags: Conwy catchment, Environmental Monitoring Facilities, MCP, Macronutrient Cycling Programme, Turf2Surf (T2S), Van Walt percussion (Cobra TT) core, biomass production , land use intensification 
Organization: Environmental Information Data Centre
Movement of songbirds between supplementary feeders in urban neighbourhoods in Southern England, UK

This dataset contains the time, date and location of when songbirds fitted with a Passive Integrated Transponder (PIT tag) visited a bird feeder fitted with Radio Frequency Identification (RFID) technology. We tagged seven species (n = 348), with Blue tits and Great tits being the most abundantly caught. RFID bird feeders were set up in networks of 20 feeders each in urban gardens at three sites in Southern England. Full details about this dataset can be found at https://doi.org/10.5285/ebee8bd9-3e68-4f88-a400-7bf72db02714

Tags: Bird Feeders, Connectivity, Environmental Monitoring Facilities, Garden birds, Passive Integrated Transponders, Radio Frequency Identification, Urban form
Organization: Environmental Information Data Centre
Location and identification of soil sample sites from the Wolf and Tamar catchment

This dataset contains the codes for water laboratory analysis, sampling dates and locations for soil samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It contains soil chemistry data for metals and mineral contents of samples soils. It should be used in conjunction with datasets describing soil bacteria and soil eukaryote operational taxonomic unit sequence data. Full details about this dataset can be found at https://doi.org/10.5285/de35d4ea-e75e-464c-b82f-2c2c1402cf8e

Tags: Environmental Monitoring Facilities, South West project, Tellus
Organization: Environmental Information Data Centre
Soil respired radiocarbon as CO2 and CH4 from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada

This dataset contains measures of soil respired radiocarbon as CO2 and CH4 from peatland plateaus and thawing peatland plateaus and from burnt and unburnt forests from permafrost in subarctic Canada. The radiocarbon content of soil respired CO2 and CH4 was measured during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, thawing features of peatland plateaus and unburnt and burnt black spruce forests. Full details about this dataset can be found at https://doi.org/10.5285/355c1ba5-ced8-4b42-b769-01b51797a647

Tags: 14C-CH4, 14C-CO2, Burnt permafrost, Peatland plateau, Radiocarbon of CH4, Radiocarbon of CO2, Thawing peatland
Organization: Environmental Information Data Centre
High resolution water quality and flow monitoring data coupled with daily and storm samples from the Loddon catchment (Sept 2017-Sept 2018)

This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. This data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. Full details about this dataset can be found at https://doi.org/10.5285/331659d7-da72-48a2-9b52-63c003557990

Tags: 2-4-D, 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, Environmental Monitoring Facilities, MCPA, Mecoprop, Metaldehyde, Metazachlor, Propyzamide, Quinmerac , River Loddon, Temperature, Total suspended solids, UV - Vis spectral scan, pH
Organization: Environmental Information Data Centre
Daily soil moisture maps for the UK (2016-2023) at 2 km resolution

The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project "Detection and Attribution of Regional Emissions (DARE-UK)". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate. Full details about this dataset can be found at https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7

Tags: ASCAT, NRFA, SCAT-SAR, Soil, UK, hydrological modelling, rainfall, soil water retention curves
Organization: Environmental Information Data Centre
Hydrological projections for the UK, based on UK Climate Projections 2018 (UKCP18) data, from the Enhanced Future Flows and Groundwater (eFLaG) project

Enhanced Future Flows and Groundwater (eFLaG) is an 12-member ensemble projection of river flow, groundwater level, and groundwater recharge time series for 200 catchments, 54 boreholes and 558 groundwater bodies in Great Britain and Northern Ireland. It is derived from the UKCP18 dataset, specifically the 'Regional' 12km projections, to which a bias correction is applied. River flows, groundwater level and groundwater recharge data are at a daily time step. To be consistent with the driving meteorological dataset, eFLaG data use a simplified 360-day year, consisting of twelve 30-day months. eFLaG data span from 1981 to 2080. The development of eFLaG was made during the partnership project funded by the Met Office-led component of the Strategic Priorities Fund Climate Resilience programme under contract P107493 (CR19_4 UK Climate Resilience). Full details about this dataset can be found at https://doi.org/10.5285/1bb90673-ad37-4679-90b9-0126109639a9

Tags: Environmental Monitoring Facilities, Projection, River flow, United Kingdom, Water
Organization: Environmental Information Data Centre
Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon

This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region. Dung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part of the NERC Human-Modified Tropical Forest (HTMF) programme. Full details about this dataset can be found at https://doi.org/10.5285/799db965-3ce7-4e9b-8590-de6a8624d652

Tags: Amazonia, Dung beetles, El Niño, Human-modified tropical forest (HMTF), forest disturbance, selective logging
Organization: Environmental Information Data Centre
Degradation and microplastic generation, with associated soil properties and microbial communities, of mulch films exposed above and below ground over 12 months, North Wales, UK

This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material property data. Below ground films were either in fine or coarse mesh bags (filled with 20g soil and 5x5 cm plastic piece) to allow only microfauna or micro-, meso-, and macrofauna interaction. The aim of this experiment was to identify the degradation rates of mulch films under UK weather conditions, their microplastic generation rates, and their effect on soil properties and microbial communities (microbial data has been deposited with NCBI: PRJNA1229197). The details can be found in the lineage field and the supporting document. Full details about this dataset can be found at https://doi.org/10.5285/76322cd6-a420-42e1-9495-5ed929b1c289

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2017 (land parcels, N. Ireland)

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. 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/efb98222-5b9a-4d56-990d-5ab85eaf187e

Tags: LCM2017, Land Cover, Northern Ireland, UK-SCAPE, vector
Organization: Environmental Information Data Centre
Daily rainfall, stream discharge and hydraulic conductivity of soils from catchments dominated by different vegetation types, Western Ghats, India, 2014-2016

Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle. The data were collected between May 2014 and December 2016. Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe-based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Dry season data has not been included in this dataset as its focus is on extreme rain events. The data were collected as part of a series of eco-hydrology projects that explored the impact of land cover on rain-runoff response, carbon sequestration and nutrient and sediment discharge. The dataset presented here was collected by a team of three to five researchers and field assistants who were engaged in the installation of the data loggers and their regular operation and maintenance. Four research agencies have partnered across multiple projects to sustain the data collection efforts that started in June 2013 and continue (June 2020). These are the Foundation for Ecological Research, Advocacy and Learning - Pondicherry, the Ashoka Trust for Research in Ecology and the Environment - Bangalore, the Lancaster Environmental Centre, Lancaster University - UK, and the National Centre for Biological Sciences - Bangalore. Funding was provided by Ministry of Earth Sciences Government of India from the Changing Water Cycle programme (Grant Ref: MoES/NERC/16/02/10 PC-II) and the Hydrologic footprint of Invasive Alien Species project (MOES/PAMC/H&C/85/2016-PC-II). Additional funding was provided by UKRI Natural Environment Research Council grant NE/I022450/1 (Western Ghats-Capacity within the NERC Changing Water Cycle programme) and WWF-India as part of the Noyyal-Bhavani program.This research took place inside protected areas in the Nilgiri Division for which permissions and support were provided continually by the Tamil Nadu Forest Department, particularly the office of the District Forest Officer, Udhagamandalam. Full details about this dataset can be found at https://doi.org/10.5285/9257a999-2844-4be1-80d1-fd29e2ccf9ef

Tags: Daily discharge, Daily rainfall, Impacts of land cover, India, Southern Western Ghats, Tipping bucket wired rain gauge, Upper Nilgiris, capacitance probe, hydraulic conductivity, mini-disk infiltrometer, stilling wells
Organization: Environmental Information Data Centre
Visible light images of a mature oak woodland canopy under Free-Air CO2 Enrichment at the BIFoR-FACE experimental site, Staffordshire, UK, 2021-2023

The dataset provides visible light images from a camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The data are visible light images, predominately of tree canopies (leaves, branches, stems). This site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. Data were collected to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. Full details about this dataset can be found at https://doi.org/10.5285/4b251915-10af-4bf1-8ad6-be1c65542247

Tags: CO2, FACE, Phenology, canopy
Organization: Environmental Information Data Centre
Chimney Meadow (Church Field) soil water retention measurements (pF curves)

Soil moisture and Electrical Resistivity Tomography (ERT) measurements within the top metre of soil at Church Field, Chimney Meadow National Nature Reserve. Church Field lies on a clay lens which overlies surrounding sand and gravel soils. Apart from the A and B horizons, the clay was found to be fairly homogenous down to the maximum depth of 1.1m of the access pit. On the 1:250,000 Soil Map of South East England the location falls into the soils category 832 Kelmscott Association which comprise mostly permeable fine loamy soils over limestone gravel and variably affected by groundwater and with some risk of flooding. However, on the more detailed 1:25,000 scale Sand and Gravel Resources Map of the Thames Valley the clay lens is depicted as Oxford Clay substrate without sand and gravel cover, surrounded by sand and gravel terraces cropping out at the surface. Full details about this dataset can be found at https://doi.org/10.5285/59da8e86-04cc-4f46-a23c-65513d025326

Tags: Chimney Meadow, Soil
Organization: Environmental Information Data Centre
Operational and water quality data from a decentralised, low-maintenance, drinking water treatment system trial, UK, November 2019 to February 2020

This dataset comprises operational data for a novel decentralised drinking water treatment platform (DWTP) and water quality data for three sampling points within the treatment system. The dataset captures a period of 12 weeks between November 2019 and February 2020. The DWTP was continuously operational throughout this time period with samples from across the system being collected at nine timepoints throughout this three-month period. Operational data from the remote telemetry unit on the DWTP reports flow rate through the system, transmembrane pressure for the ultrafiltration and both the oxidation-reduction potential (ORP) and the free chlorine of the treated water. Data is also provided for a suite of biological, physicochemical, chemical, metals, hydrocarbons and disinfection byproducts. This data was produced from water samples which were sent to an accredited UK laboratory. The data reports for all samples for each of the 3 sampling locations within the treatment system are summarised into .csv files. Information about the location of each sampling point and the level of treatment received at each point can be found in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/98148025-e8ef-40f9-907e-dae8b28106d2

Tags: Alternative treatment methods, Bacterial contamination, Decentralised, Environmental Monitoring Facilities, Green biocide, Infrastructure, Novel technologies, Off-grid, Safe water, Sustainable, Technology platforms, Water treatment
Organization: Environmental Information Data Centre