AndreaBozzo/ceres-open-data-index huggingface dataset:
Deposition of nitrogen, sulphur and base cations to the UK (1986-2012)

These datasets provide Concentration Based Estimated Deposition (CBED) values of nitrogen, sulphur and base cations deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 1986 to 2012. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation, and (ii) forest. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts. Full details about this dataset can be found at https://doi.org/10.5285/8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50

Tags: Atmospheric Conditions, Concentration Based Estimated Deposition (CBED), base cations, nitrogen, pollutant, sulphur
Organization: Environmental Information Data Centre
Grid-to-Grid model estimates of river flow for Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2

Gridded hydrological model river flow estimates on a 1km grid over Northern Ireland for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept), along with the date of occurrence, and annual minima of 7-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member. To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid and c) a 1km x 1km grid identifying majority lake cells. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/76057b0a-b18f-496f-891c-d5b22bd0b291

Tags: Annual maximum, Annual minimum, G2G, Grid-to-Grid, Hydrography, Northern Ireland, River flow, UK-SCAPE
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) individual bioturbation potential in mudflat and saltmarsh habitats

The dataset details individual species bioturbation potential (BPi) across 6 intertidal sites in the winter and summer of 2013. The data provide an index of bioturbation potential of individual invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other three 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 four spatial scales. three 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 BPi of each individual species present within a sample. BPi 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). 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/10.5285/897d03de-f88c-46b8-a2ab-e6899d39f4f8

Tags: BESS, CBESS, Habitats and Biotopes, Macona balthica
Organization: Environmental Information Data Centre
Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020

This dataset contains RGB photographs acquired from drone surveys. There are 741 harvest plots from 38 surveys at 36 sites around the world. Each site was approximately 1 ha in area. Included with the photographic images are the coordinates of ground control markers, biomass, taxonomic and location data for harvest plots and ancillary metadata. The observations can be used to obtain allometric size-biomass models. This work was supported by the Natural Environment Research Council award number NE/R00062X/1 as part of the project 'Do dryland ecosystems control variability and recent trends in the land CO2 sink?' Full details about this dataset can be found at https://doi.org/10.5285/1ec13364-cbc6-4ab5-a147-45a103853424

Tags: Artemisia tridentata, Bromus marginatus, Crataegus spp., Environmental Monitoring Facilities, Festuca idahoensis, Juncus spp.
Organization: Environmental Information Data Centre
Forest inventory and lightning strikes data from the Ngel Nyaki forest, Nigeria, 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 Ngel Nyaki Forest, collected between June 2018 and July 2021. We investigated tree mortality driven by lightning strikes in a 40-ha area at the Ngel Nyaki Forest Dynamic Plot, located in south-eastern Nigeria. Ngel Nyaki is a submontane forest with an elevation range of 1,588–1,690m and is part of the Smithsonian's Forest Global Earth Observatory (ForestGEO) network. 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). Full details about this dataset can be found at https://doi.org/10.5285/5237ab05-04bd-44b6-9c53-d21eb2083e39

Tags: forest Inventory, lightning, tree mortality
Organization: Environmental Information Data Centre
Rhenium isotopic and geochemical characterisation across lithospheric and surface processes across four global regions, 2019-2024

The data resource collates novel measurements of the rhenium isotope geochemistry of various materials measured between 2019 and 2024. The data were collected as part of NERC funded research (NE/T001119) aiming to constrain the behavior of the rhenium isotope system at Earth's surface. Sampling, analyses and data collation were undertaken at Royal Holloway, Durham University and the University of Oxford. The main outputs include: Table 1 - Measurements of Icelandic groundwaters and hydrothermal systems, samples collected in September 2021 from locations around Iceland, and analysed 2021-2023. Table 2 - Measurements on multiple shale weathering profiles from sites across the USA, New Zealand, collected in the 1990s (USA) and 2018 (New Zealand), and measured between 2020-2022. Table 3 - Rhenium isotope measurements on the Eagle Ford Shale, USA, collected in the 2010s and analysed between 2021-2024. Table 4 - Rhenium elemental and isotopic measurements in igneous rocks from Iceland (Helka magmatic evolution sequence collected in the 2000s and 2010s) and Mid-Ocean Ridge in Atlantic, Indian and Pacific Oceans and analysed in 2019-2024. Table 5 - Rhenium isotopes in river sediments and river waters of the northern Mackenzie River basin, Canada, delta region, including Peel and Arctic Red Rivers. Materials were collected between 2017 and 2018 and analysed in 2019. Table 6 - Rhenium isotope measurements on Jurassic aged sedimentary rocks from the MOCHRAS core. Materials were processed and analysed between 2022 and 2025. Together, these data provide a step change in our understanding of the rhenium isotope system and how it can be applied to understand pressing environmental science questions. Full details about this dataset can be found at https://doi.org/10.5285/a9bc6c28-cee5-4bf9-8539-d112c0a4c3d4

Tags: geochemistry, isotope, rhenium
Organization: Environmental Information Data Centre
Forest plot inventory data from seasonally dry and moist Atlantic forest in Rio de Janeiro State, 2015-2017

Data comprise plot location (latitude, longitude, elevation), taxonomic family and species names and measurements of trees (diameter, height, health). Presence of lianas (vines) and their measurements were also recorded. Funder: NERC - Brazil (CONFAP) Newton Fund: “Dry forest biomes in Brazil: biodiversity and ecosystem services” (NE/N000587/1) Full details about this dataset can be found at https://doi.org/10.5285/aa3babe9-072c-42ce-9ea5-9dbb921a922d

Tags: vine
Organization: Environmental Information Data Centre
Meteorological data for the Siksik catchment, North West Territories, Canada for 2013 and 2014

Data comprise meteorological measurements (mean, minimum and maximum daily air temperature, minimum and maximum daily relative humidity, wind speed (kilometres per second at 10metres height), dew point temperature, estimated actual vapour pressure, precipitation, estimated surface resistance, estimated albedo and estimated Potential evapotranspiration (PET)) for the Siksik catchment, North West Territories, Canada for 2013 and 2014. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d

Tags: HYDRA, NERC Arctic programme, Perma-Hydro-C, Siksik catchment, pressure, resistance, temperature, wind speed
Organization: Environmental Information Data Centre
Loch Leven long-term monitoring data: phosphorus, silica and chlorophyll concentrations, water clarity and temperature, 1985-2007

A subset of the Loch Leven long-term monitoring project dataset. This subset contains data collected from Loch Leven between 1985 and 2007 at three sampling sites in the lake. It includes results of chlorophyll, phosphorus, and silicon analyses as well as conductivity and water temperature measurements. The data relate to water samples taken at fortnightly or monthly intervals. Data available in digital form is described here. Additional data currently held as hard copy, will become available once digitised. Full details about this dataset can be found at https://doi.org/10.5285/2969776d-0b59-4435-a746-da50b8fd62a3

Tags: Environmental Monitoring Facilities, silica, water clarity, water temperature
Organization: Environmental Information Data Centre
Perch weekly catches from Green Tuft 1946-2012

This dataset consists of total weekly catch data of mature Perch (Perca fluviatilis) from trapping at Green Tuft, Windermere, Cumbria, sampled between 1946 and 2012. Perch have been monitored in the north and south basins of Windermere by trapping with variations in sampling sites and efforts from 1943 to the present. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Full details about this dataset can be found at https://doi.org/10.5285/85dc93d2-8c29-4660-b725-793e43703e46

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Fortnightly soil respiration data from Climoor fieldsite in Clocaenog Forest 1999-2015

This dataset contains soil respiration data from the Climoor fieldsite in Clocaenog forest, north-east Wales. Measurements began in March 1999 at the field site, and were repeated in approximately bi-weekly intervals until June 2015 (although there are some larger gaps for technical or logistical reasons in this 14 year dataset). The data were collected using 3 different methods/machines over the years: static chambers, soil respiration chamber and Environmental Gas Monitor (EGM)-4 (from PP Systems), and soil respiration chamber and Automated Soil Gas Flux System Li8100 (from Licor Biosciences). The method used is detailed in the data and described further in the supporting documentation. Data was collected by CEH staff and PhD students trained in the use of the different methods / machines. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Full details about this dataset can be found at https://doi.org/10.5285/c0822023-0ec2-425f-8bf9-a546ce281ee0

Tags: Environmental Monitoring Facilities, soil respiration
Organization: Environmental Information Data Centre
Seed rain sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, 2021-2023

The data resource consists of two years of seed rain data for woody plant species in invaded subtropical mountain forests (Yungas). The forests were in the Horco Molle Experimental Reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The data are collected as part of an experiment to investigate the effects of management control of the invasion of the non-native species Ligustrum lucidum on the dynamics of the woody community. The experiments ran from June 2020 to November 2023. Every two weeks, fallen fruits and seeds were collected in fixed traps (surface 0.25 m2 each) located along transects within forest permanent plots. Each permanent plot (240 metres by 140 metres, 3.36 hectares for each plot) had four transects (160 metres long), and 12 traps were deployed within each transect. The placement of seed traps along the transects was informed by in silico experiments in which both the dispersal and management of L. lucidum were simulated and the placement of traps along simulated transects. After simulating different trap placements, the design chosen provided the highest precision and closest fit to the simulated dispersal and management of L. lucidum. After collection, the fruits and seeds were counted and identified at the lowest feasible taxonomic level (species level) in a laboratory using a stereo microscope. Also recorded was if the fruit or seed had some evidence of having been digested by animals. 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/10.5285/72915dd3-3972-46f2-a0f3-0f52fe51667f

Tags: Horco Molle Experimental Reserve, Parque Sierra de San Javier, Yungas, seed rain
Organization: Environmental Information Data Centre
Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2024

Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity and characteristics, breeding habitat, and morphological characteristics. The database also contains data regarding species distribution, conservation status, and temporal trends for abundance and occupancy. This database can be used for a wide array of purposes including further fundamental research on species and community responses to environmental change, conservation and management studies, and evolutionary biology. This is the updated version of the dataset, incorporating additions and corrections compared to previous versions (https://doi.org/10.5285/5b5a13b6-2304-47e3-9c9d-35237d1232c6 & https://doi.org/10.5285/33a66d6a-dd9b-4a19-9026-cf1ffb969cdb) Full details about this dataset can be found at https://doi.org/10.5285/dbc7cc17-cbbd-49dd-bab4-8e8855768d66

Tags: Habitats and Biotopes, Lepidoptera, butterflies, database, ecology, moths, trait, trend
Organization: Environmental Information Data Centre
Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK, 2019-2021

This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 1x1 km Concentration Based Estimated Deposition (CBED) data for 2019-21 (see related data collection). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia). Full details about this dataset can be found at https://doi.org/10.5285/959a71fe-3340-4a0f-83b3-1cc981709502

Tags: Atmospheric Conditions
Organization: Environmental Information Data Centre
Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020

Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output and other data relevant to the project such as the width of floral units. The imagery was acquired by Spectrum Aviation using A6D-100c (50mm) Hasselblad cameras with bayer filters, mounted on a Sky Arrow 650 manned aircraft. Ground-truth data for training maximum likelihood classifications and for verifying the accuracy of classifications were gathered within eight days of imagery acquisition. Ground-truth data were acquired from sown field margins and hedgerow surrounding one study field. This dataset was acquired from March to July 2019 at a farm in Northamptonshire, UK. Data were acquired as part of a NERC funded iCASE PhD studentship (NERC grant NE/N014472/1) based at the University of East Anglia and in collaboration with Hutchinsons Ltd. The aim of the research was to map the floral units of five nectar-rich flowering plant species using very high resolution multispectral imagery. Each species constitutes an important food resource for pollinators. The plant species in question were Prunus spinosa, Crataegus monogyna, Silene dioica, Centaurea nigra and Rubus fruticosus. Full details about this dataset can be found at https://doi.org/10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c

Tags: DeWALT laser beam measure, Habitats and Biotopes, Land Cover, QGIS version 3.4.15 , SCP plugin, blackthorn, bramble, common knapweed, hardhead, hawthorn, red campion, semi-automatic classification 
Organization: Environmental Information Data Centre
Daily and sub-daily hydrometeorological and soil data (2013-2015) [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 the start of the network, in October 2013, to the end of 2015. These data are from 32 sites active across Great Britain during this time, 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 net radiation data which are used to derive potential evapotranspiration at a daily resolution. Full details about this dataset can be found at https://doi.org/10.5285/cdcf6ec3-1949-4fe7-a6f2-33c7403eafa1

Tags: Atmospheric pressure, COSMOS-UK, Cosmic-ray sensing probe, Environmental Monitoring Facilities, Net radiation, Potential evapotranspiration, Relative/absolute humidity, Soil heat flux, Soil temperature, Wind speed/direction
Organization: Environmental Information Data Centre
Summary data of reach scale oxygen consumption and production in the streambed and in the water column at six tributaries of Hampshire River Avon collected seasonally in 2013 to 2014

The dataset contains daytime and nighttime averages of oxygen production and consumption rates from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Rates were obtained for the benthic compartment using the non-invasive Aquatic Eddy Co-variance (AEC) and in the water column with sample incubations during seasonal field campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/849d72e0-a940-48e3-913c-8e7f781131d3

Tags: Aquatic eddy co-variance, Dissolved oxygen flux, Hampshire Avon, Hydrography, Water incubation
Organization: Environmental Information Data Centre
Averaged WRF (Weather Research and Forecasting) data for the Rio Santa and Vilcanota regions, Peru, 1980-2018

Averaged outputs from the WRF (Weather Research and Forecasting) model for the Rio Santa and Vilcanota, Urubamba and Vilcabamba catchments in Peru. Averaging was applied over the entire model period from 1980 to 2018. Data includes: - Averaged precipitation and air temperature records and the related standard deviation at a 4km resolution (annually and for each season) for each catchment. Monthly averaged and monthly totals of air temperature and precipitation (averaged over each catchment). - WRF model input elevation for each catchment. - WRF total precipitation and maximum/minimum air temperature at the location of five on-glacier weather stations (Artesonraju Glacier, Shallap Glacier, Cuchillacocha Glacier, Quisoquipina Glacier and Quelccaya Ice Cap) at a daily resolution from 1980 to 2018. Full details about this dataset can be found at https://doi.org/10.5285/7dbb2d72-7032-4cfa-bc9b-aa02bebe8df5

Tags: Cordillera Blanca, Cordillera Urubamba, Cordillera Vilcabamba, Cordillera Vilcanota, Peru, Peruvian climate, Rio Santa, WRF, Weather Research and Forecasting, climate modelling, tropical glaciers
Organization: Environmental Information Data Centre