AndreaBozzo/ceres-open-data-index huggingface dataset:
UK Environmental Change Network (ECN) woodland vegetation data: 1993-2011

[THIS DATASET HAS BEEN WITHDRAWN]. Woodland vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see Supporting documentation). This survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/edfe7080-b9d4-4792-82ef-228ac670211a

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, semi-natural and managed vegetation, vegetation species
Organization: Environmental Information Data Centre
Weather data from Durleigh Reservoir, 2018

This dataset contains seven month monitoring of weather conditions at Durleigh Reservoir in Somerset, England, during 2018. A Delta T WS-GP1 weather station was installed approximately 4 m above the surface of the reservoir between 5 April and 5 October 2018. Full details about this dataset can be found at https://doi.org/10.5285/dcfa74ce-6d05-4717-978d-e7cdf9b2039e

Tags: Durleigh Reservoir, Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Fine root biomass in fertilised plots in the Central Amazon, 2017-2019

The dataset contains the weight of fine root (<2 mm) at two soil depths (0-10 cm and 10-30 cm) collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil. Data were obtained by the in growth core method, in campaigns conducted every three months from 2017 to 2019 in all plots. Full details about this dataset can be found at https://doi.org/10.5285/b3a55011-bf46-40f5-8850-86dc8bc4c85d

Tags: Central Amazon, fine root biomass, growth of fine roots
Organization: Environmental Information Data Centre
Terrestrial LiDAR data of Bramcote Hills Park wood, Nottinghamshire, UK in 2023

This dataset contains forest structure measurements for a wooded area where the liana Hendra helix (common ivy) is present. The dataset comprises two overlapping 3D point clouds for a small wooded area covering nearly 18000 m2 of Bramcote Hills Park (Nottinghamshire, UK) for a sample of trees infested with liana as well as a non-infested sample of trees. This datasets was acquired using a terrestrial Light Detection And Ranging (LiDAR) scanner on 13 January 2023, as part of a study assessing the diversity and composition of soil and litter dwelling organisms associated with liana infestations within forests. The work was supported by the Natural Environment Research Council (Grant NE/X018083/1). Full details about this dataset can be found at https://doi.org/10.5285/174ef670-6db9-4fb9-9961-27b2cee57adc

Tags: 3d point clouds, Habitats and Biotopes, Nottinghamshire, Terrestrial LiDAR, canopy structure, liana
Organization: Environmental Information Data Centre
Predicted outcomes from land use change scenarios in upland Wales catchments

A spatial approach was developed to interpret qualitatively expressed scenarios, and predict the probability and amount of change for 10 land-cover types across 127 sub-catchments in upland Wales. Existing data, which have a temporal coverage of 1998-2007, were used for the underpinning mapping, and fed into the tabular land cover change summary data. For each scenario, the maximum and minimum land-cover change was projected using rules based on current land cover, agricultural land quality, ownership type, and nature conservation status. For each combination, total land-cover change summaries have been created, which indicate how land cover within the 127 sub-catchments may respond to change in the future. This work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Full details about this dataset can be found at https://doi.org/10.5285/0dd30cc6-d4fb-42f5-a5a4-954cf01a230b

Tags: Biodiversity & Ecosystem Service Sustainability (B, Diversity in Upland River Ecosystem Service Sustai, Land Cover, catchments, land-cover, scenarios, uplands
Organization: Environmental Information Data Centre
Weekly water quality data from the River Thames and its major tributaries, 2009-2023

This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity, and chlorophyll. This catchment-wide biogeochemical monitoring platform captures changes in the water quality of the Thames basin during a period of rapid change, related to increasing pressures (due to a rapidly growing human population, increasing water demand and climate change) and improvements in sewage treatment processes and agricultural practices. The dataset provides the research community with a valuable data and modelling resource for furthering our understanding of pollution sources and dynamics, and vital underpinning environmental data required to best manage this vital drinking water resource, which is key for the sustainability of the city of London and the wider UK economy. Full details about this dataset can be found at https://doi.org/10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef

Tags: Hydrography, Nutrients, Southeast England, Thames Catchment
Organization: Environmental Information Data Centre
Modelled dynamic response characteristics of selected micro-basins in the UK

The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall to discharge response of these basins has been modelled with the RIV algorithm of the CAPTAIN Toolbox (Taylor et al., 2007 doi.org/10.1016/j.envsoft.2006.03.002). The resultant modelled characteristics of the rainfall-discharge dynamics are presented on an event-by-event basis. Full details about this dataset can be found at https://doi.org/10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105

Tags: C-NFM, CAPTAIN toolbox, Cumbria, Environmental Monitoring Facilities, NFM, NbS, Q-NFM, discharge, flume, hydrograph, micro-basin, natural flood management, nature-based solution, rain gauge, transfer function
Organization: Environmental Information Data Centre
National Plant Monitoring Scheme, 2015 to 2016 dataset

This dataset contains data from the National Plant Monitoring Scheme between 2015 and 2016. These consist of plant species occurrences, with abundance values, in plots. Plots are nested with 1 km squares, and are georeferenced according to the British/Irish/Channel Islands grid systems, or in latitude/longitude format; the 1 km squares surveyed were selected according to a weighted-random design, designed to enrich the sample for semi-natural habitats. Plots also have associated habitat and spatial information, as well as a small number of other environmental data. The species recorded in any particular plot are dependent on the habitat chosen for the plot by the surveyor, and the level of the scheme at which they were participating. Please see the references in the supporting documentation (survey guidance) for more information. 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/ba39167d-421a-4bfb-b504-56e9f8a38746

Tags: NPMS, Species Distribution
Organization: Environmental Information Data Centre
Avian data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021

Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight. These data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in avian response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6

Tags: Avian, Macroinvertebrate, River restoration, South fork mckenzie, Stage zero, Wildfire
Organization: Environmental Information Data Centre
Countryside Survey mapped estimates of Broad Habitat area change in Great Britain between 1990 and 2007

This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as percentage increase or decrease in habitat area per Land Class (areas of similar environmental characteristics) and are in a vector format. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/4af5abe4-158a-4736-b318-ec660e09e45a

Tags: Broad Habitats, Great Britain, Habitats and Biotopes
Organization: Environmental Information Data Centre
Chlorophyll absorbance data from lake and river samples incubated with different nutrient combinations in the English Lake District, Norfolk Broads and Greater Glasgow, 2017-2018

The dataset contains spectrophotometrically measured chlorophyll absorbance data from lake and river samples incubated with different nitrogen, phosphorus, silica or combined nutrients, as bioassays, either ex situ for phytoplankton or in situ for periphyton. These data were collected from sites in the English Lake District, Norfolk Broads and Greater Glasgow area in 2017 and 2018 as part of the NERC funded Freshwater Highlight Topic 'Hydroscape'. The work was supported by the Natural Environment Research Council (Grant NE/N00597X/1). Full details about this dataset can be found at https://doi.org/10.5285/2ea22f99-242c-4524-a5dc-3067a5f97a72

Tags: Bishop Loch, Codale Tarn, Decoy Broad, Easedale Tarn, Environmental Monitoring Facilities, Strathclyde Loch, Woodend Loch, Wroxham Broad, bioassay
Organization: Environmental Information Data Centre
Observations of human hygiene behaviours before and after exposure to poultry in Dhaka and rural Tangail district, Bangladesh (2017)

The dataset provides observational information on events when humans are in contact with poultry in rural and urban Bangladesh. Data were collected during observation periods of three hours duration in three settings where humans and poultry have close interactions: rural households with domestic poultry and small-scale commercial farms in rural areas of Tangail district and market stalls that sell, slaughter and process live poultry in Dhaka city. Observations on hygiene or handwashing behaviours that take place before or after contact with poultry, poultry products (eggs, meat) or poultry waste (bedding, faeces or carcasses) were also recorded. A structured observation sheet was used to record the number of occurrences of pre-defined activities. The objective was to record the types of contact behaviours and proportion of human-poultry interactions that could result in human exposure to antibiotic-resistant bacteria carried by poultry. The research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/76f52a38-7a2c-49a3-b86f-cc40205459ef

Tags: Health, Structured observation, antimicrobial resistance, exposure risk, hand washing
Organization: Environmental Information Data Centre
Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2022

This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside and the other is outside in the garden area. The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from January 2022 to December 2022. Samplers are exposed in monthly cycles at the beginning of each month. Full details about this dataset can be found at https://doi.org/10.5285/122e87db-7269-4d6a-bc99-9a826fda3885

Tags: Ammonia monitoring, Atmospheric Conditions, Passive sampler, Rural dwelling 
Organization: Environmental Information Data Centre
The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)

This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate. Full details about this dataset can be found at https://doi.org/10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99

Tags: Environmental Monitoring Facilities, nitrous oxide, pH, temperature
Organization: Environmental Information Data Centre
Drosophila-parasitoid interactions along an elevation gradient in an Australian rainforest, 2016

The dataset contains records of Drosophila flies and associated parasitic wasps collected along two elevational (temperature) gradients from Australian rainforest site. The data is presented at the individual Drosophila pupae level. It describes patterns of parasitism levels from fourteen sites and the structure of quantitative food webs at six sites. Also included are temperature records from each site. Full details about this dataset can be found at https://doi.org/10.5285/85657c4c-54c9-4d02-a262-455ea1c38d95

Tags: Diapriidae sp., Drosophila pandora, Leptolamina sp., Pteromalidae sp.
Organization: Environmental Information Data Centre
Sanitary risk inspections of shallow wells, boreholes and springs in Kisumu, Kenya in 2014

This dataset contains the results of a sanitary risk inspection for different groundwater sources in Kisumu, Kenya. A total of 70 groundwater sources were surveyed between February and March 2014. The survey took the form of an observation checklist that identified contamination hazards at well heads and in their immediate surroundings. Data on well depth, electro-conductivity, pH and temperature were also collected. 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/bc1a979b-7cc9-4c9d-9fe4-a8510cd62f8e

Tags: Kisumu, Manyatta, Migosi, latrines, water wells
Organization: Environmental Information Data Centre
Effects of low-dose ionising radiation on reproduction and DNA damage in marine and freshwater amphipod crustaceans

Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth (marine crustacean Echinogammarus marinus) or from the River Ems, Emsworth (freshwater crustacean, Gammarus pulex). Laboratory experiments were conducted periodically from summer 2015 to autumn 2016 at the University of Portsmouth. The data are of use in elucidating the mechanisms and effects of low-dose ionising radiation on an important group of model organisms in radioecology. Full details about this dataset can be found at https://doi.org/10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb

Tags: COMET, Echinogammarus marinus, Environmental Monitoring Facilities, Gammarus pulex, Radioecology, TRansfer - Exposure – Effects (TREE), phosphorus-32
Organization: Environmental Information Data Centre
Global greenhouse gas emissions associated with the production of crop and livestock products at 5 arc minutes resolution, 1997-2003

[THIS DATASET HAS BEEN WITHDRAWN]. The greenhouse gas (GHG) emissions represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine meat and milk, small ruminant (sheep and goat) meat and milk, pig meat, poultry (chicken, ducks) meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period of 1997-2003. Full details about this dataset can be found at https://doi.org/10.5285/76f8c5c0-6dde-407a-9710-2bca2e041512

Tags: Atmospheric Conditions, Sustainable agriculture, environmental impact, food systems
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: collated indices 2016

Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. Although the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and more recent versions of the UKBMS collated indices are available. Full details about this dataset can be found at https://doi.org/10.5285/009334d6-ee33-43fc-a259-bf4d92fb69dc

Tags: Species Distribution, butterflies
Organization: Environmental Information Data Centre
Water chemistry data from Lake Akrotiri, Cyprus, and its main inputs, July 2019 - November 2020

Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and November 2020. The eight monitoring sites included marginal samples from around the lake and also samples of the input canals that drained the surrounding marshes and a drainage pipe. Full details about this dataset can be found at https://doi.org/10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30

Tags: Hydrography
Organization: Environmental Information Data Centre