AndreaBozzo/ceres-open-data-index huggingface dataset:
Anthropogenic litter data collected from the Portoviejo River, Ecuador, 2021-2022

This data resource contains information on anthropogenic litter from the Portoviejo River, in Ecuador, collected between years 2021 and 2022. This work is part of the Natural Environment Research Council project “Reducing the impacts of plastic waste in the Eastern Pacific Ocean” (NE/V005448/1). The purpose of collecting this dataset was to obtain consistent observational data of solid waste contamination in a South American river system using a newly developed clean-up technology called the Azure System. The dataset contains information of weight (in kilograms) of different categories of anthropogenic litter collected using the Azure System, a floating barrier designed as a litter extraction tool for rivers. The system was developed by Ichthion Limited (https://ichthion.com/), who were also responsible for data collection on site. The barrier was installed at the city of Portoviejo, where litter was collected from February 2021 until December 2022 and quantities were reported weekly for each month. Full details about this dataset can be found at https://doi.org/10.5285/e78e1cef-e30b-4313-8733-c03e1a7b7b2f

Tags: Ecuador, Hydrography, Portoviejo River, macroplastics, river clean-up
Organization: Environmental Information Data Centre
Trace element data from rivers [LOIS]

Discrete data for trace elements for both the dissolved and acid available fractions for thirteen core sites in the Humber catchment over the period 1993 to 1997 and for three sites from the Tweed catchment over the period 1994 to 1997. Part of the Land Ocean Interaction Study project (LOIS). Trace elements measured were: Aluminium (Al), Antimony (Sb), Arsenic (As), Barium (Ba), Beryllium (Be), Boron (B), Cadmium (Cd), Cerium (Ce), Chromium (Cr), Cobalt (Co), Copper (Cu), Gadolinium (Gd), Iron (Fe), Lanthanum (La), Lead (Pb), Lithium (Li), Manganese (Mn), Molybdenum (Mo), Neodymium (Nd), Nickel (Ni), Rubidium (Rb), Samarium (Sm), Scandium (Sc), Strontium (Sr), Tin (Sn), Uranium (U), Yttrium (Y), Zinc (Zn). The Core sites were sampled at regular weekly intervals and more intermittently during high flows (on average an extra sampling once a month per site). The Swale sites were sampled during hydrological events and the Aire sites were sampled both weekly and during hydrological events. The majority of samples were obtained using a wide neck grab sampler. Those samples collected from the Aire during hydrological events were obtained using EPIC automatic samplers. Both dissolved and acid available trace element fractions were determined for all samples. The dissolved fraction was measured by filtering samples and acidifying the filtrates with concentrated aristar grade nitric acid (1%vv) on the same day of sampling. The acid available fraction was determined by acidifying an unfiltered sample as above and agitating for 24 hours, at room temperature, prior to filtration. Samples were then analysed by inductively coupled plasma optical emission spectrometry (ICP-OES: B, Ba, Fe, Mn, Sr) and mass spectrometry (ICP-MS: Al, As, Be, Cd, Ce, Co, Cr, Cu, Gd, La, Li, Mo, Nd, Ni, Pb, Rb, Sb, Sc, Sm, Sn, U, Y, Zn). Full details about this dataset can be found at https://doi.org/10.5285/69f62656-567c-42dd-bb65-8f0cbbeb1693

Tags: Aire, Antimony, Barium, Beryllium, Cadmium, Calder, Cerium, Chromium, Derwent, Environmental Monitoring Facilities, Gadolinium, Humber, LOIS, Land Ocean Interaction Study project, Lanthanum, Lithium, Manganese, Molybdenum, Neodymium, Nidd, Ouse, Rubidium, Samarium, Scandium, Strontium, Swale, Trent, Yttrium
Organization: Environmental Information Data Centre
Herbivory and fungal infection data from Climoor fieldsite in Clocaenog Forest

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes data on the degree of herbivory and infection of the fungal pathogen, Valdensia heterodoxa, on the deciduous shrub Vaccinium myrtillus in the experiment plots at the Climoor field site in the Clocaenog Forest, NE Wales. Herbivory was measured in the summer of 2000, 2005 (control and drought plots only) and 2006. Fungal infection was measured in 2000, 2005 (control and drought plots only) 2006, 2007, 2008 and 2009. Measurements were taken at the same time as annual vegetative growth and flowering assessment at a time of maximal growth (late August- early September). Full details about this dataset can be found at https://doi.org/10.5285/4eb85182-6b40-47e9-bff6-4711750272c7

Tags: Environmental Monitoring Facilities, vegetation
Organization: Environmental Information Data Centre
Fine root nutrient concentration in fertilised plots in the Central Amazon, 2018

The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Carbon and nutrient concentrations refer to year one of fertilisation, bulking samples from November 2017 to August 2018. Concentrations are given as a mean of the community per plot in year 1, where five points inside each plot were sampled in the 0-10 cm and 10-30 cm soil layers. The dataset depicts the concentrations of iron, zinc, manganese, calcium, magnesium, potassium, phosphorus, nitrogen and carbon in fine roots in two different soil depths. Samples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship). Full details about this dataset can be found at https://doi.org/10.5285/ba190356-1731-4558-be7a-3fedc570663a

Organization: Environmental Information Data Centre
Ecological, dietary, and socio-economic data from 10 smallholder farming villages in Jumla District, Nepal, 2021-2022

This is a transdisciplinary dataset from ten smallholder farming villages in Patarasi Rural Municipality, Jumla District, Nepal collected during 2021 and 2022. The human component of the dataset includes fortnightly 24-hour dietary recall surveys and monthly anthropometry surveys of 721 participants (adult males, adult females, adolescent girls and children under five) from 200 smallholder households collected over a twelve-month period. For each household, there is also data on socioeconomic status, farming practices, cooking practices and beekeeping practices. The ecological component of the dataset includes plant-pollinator interaction data and flowering phenology data from the same ten farming villages as well as the results of a pollinator exclusion field experiment in fifteen replicate sites along an altitudinal gradient in this region. Taken together, these datasets enable us to understand more about: a) people’s diets, nutritional status and socioeconomic status in rural Nepal; b) which crops provide their nutrients and how these crops are grown; c) which insects pollinate these crops, and; d) how climate change is likely to impact the system. Full details about this dataset can be found at https://doi.org/10.5285/d7434d83-c30d-4186-aab0-9764821cd807

Tags: Agricultural and Aquaculture Facilities, Beekeeping, Bio-geographical Regions, Human Health and Safety, Jumla, Micronutrients, Nepal
Organization: Environmental Information Data Centre
Land Cover Map 2022 (25m rasterised land parcels, GB)

This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39

Tags: Biodiversity Action Plan, Great Britain, Land Cover
Organization: Environmental Information Data Centre
Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK 2016-2018

These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometres (km) grid squares of the UK averaged over the years 2016 to 2018. 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 everywhere, and (ii) forest everywhere. 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 Departments for Environment, Food & Rural Affairs (Defra) contracts. Full details about this dataset can be found at https://doi.org/10.5285/5999d471-fe1d-45fa-889d-3156edb785a7

Tags: Atmospheric Conditions, Concentration Based Estimated Deposition (CBED), Environmental Monitoring Facilities, base cations, pollutant
Organization: Environmental Information Data Centre
Bacterial community structure and soil process data from a sewage sludge amended upland grassland soil experiment, 2000 [NERC Soil Biodiversity Programme]

This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse fundamental processes in upland soils. These were collected to address the following questions: Do soil improvement treatments select for particular components of bacterial populations and hence drive community development? If so, at what functional and phylogenetic level is this selection expressed? Can any changes in community structure be related to changes in the function of the community or is biogeochemical function independent of community structure and controlled by other mechanisms? The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/1cebca07-dd82-4ba2-823b-274868abda42

Tags: Scottish borders, Soil, Soil ammonia, Soil ammonia oxidation potential, Soil de-nitrification potential, Soil methane oxidisation potential, Soil methane production, Soil moisture, Soil pH, Soil respiration rate, Sourhope, TTGE, Total Kjeldahl nitrogen, Total organic carbon
Organization: Environmental Information Data Centre
LiDAR-derived canopy height model and digital terrain model of Sabah Biodiversity Experiment, Malaysia, 2020

This dataset contains raster layers at 1-m resolution representing the canopy height model (CHM) and digital terrain model (DTM) of the Sabah Biodiversity Experiment (SBE), Sabah, Malaysia. CHM and DTM were created from airborne LiDAR point cloud data collected at SBE in 2020. The data were collected to assess the effectiveness of different restoration interventions for speeding up the recovery of logged tropical forests in SE Asia. Full details about this dataset can be found at https://doi.org/10.5285/c9e70f3f-0c81-4388-8146-019f7b7b6d36

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Woody biomass maps of Mabalane, Gurue, and Maruppa, Mozambique

The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme Full details about this dataset can be found at https://doi.org/10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f

Tags: Gurue, Mabalane, Maruppa
Organization: Environmental Information Data Centre
Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2024

This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2024. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing were 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/f4925dbe-875b-479c-8f98-5a11bbdb7ba4

Tags: Environmental Monitoring Facilities, Loch Leven, Scotland, UK-SCAPE, taxa, water chemistry, zooplankton
Organization: Environmental Information Data Centre
Sunflower seed predation rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia

Data comprise sunflower seed predation rates (i.e. number of seeds remaining) after 24 hours under different treatments in eighteen experimental plots plots established in 2013 as part of the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) programme. 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 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. 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/10.5285/1256d475-f321-4a9b-b4ed-927e5b825d3f

Tags: Biodiversity and Ecosystem Function in Tropical Ag, oil palm
Organization: Environmental Information Data Centre
Land cover and sediment geochemistry in the Rio Santa catchment, Cordillera Blanca, Peru, 2019-2020

These data encompass land cover data and sediment geochemistry from the Rio Santa catchment of the Peruvian Andes. Sediment samples were collected within the SIGMA: Peru project between 2019-2020. Geochemistry data include major and minor elements in sediment samples determined by X-Ray Fluorescence (XRF), organic matter determined by loss-on-ignition (LOI), and particle size data, and are provided for both the wider Rio Santa catchment and the Ranrahirca sub-catchment. The research was supported by the Natural Environment Research Council and the Newton Fund (grant NE/S013245/1). Full details about this dataset can be found at https://doi.org/10.5285/20837a27-414c-4597-a6d2-3edc1d2e9a98

Tags: Hydrography, Land Cover, XRF
Organization: Environmental Information Data Centre
Expert-based stakeholder mapping and engagement strategies for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021

Data package containing information and the results of our expert-based stakeholder mapping exercise for six invasive non-native species case studies in Argentina, Brazil, and Chile, 2021. These six case studies included invasive grasses (Urochloa spp.) in Brazil, glossy privet (Ligustrum lucidum) in Argentina, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Argentina, American mink (Neogale vison) in Argentina and Chile, lodgepole (Pinus contorta) and Montery pines (Pinus radiata) in Chile, and German yellow-jacket (Vespula germanica) in Chile. The datasets included are: (i) a list of all the stakeholders identified, their characteristics, interest in invasive non-native species (INNS) and their management, and the positive and negative ecological, economic, and social impacts of INNS experienced by the stakeholders; (ii) an example of a stakeholder spreadsheet used to collect information during our activities; (iii) a list of consensus strategies for engaging stakeholders identified by the participants; and (iv) two examples of stakeholder engagement strategies. Full details about this dataset can be found at https://doi.org/10.5285/450fd469-5cd7-4c8f-b113-ba469c358caf

Tags: alien species, engagement strategy, invasive alien species, participatory stakeholder mapping, stakeholder engagement
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) atmospheric nitrogen chemistry data: 1993-2015

Atmospheric Nitrogen Dioxide data from the UK Environmental Change Network (ECN) terrestrial sites. These data (weight of NO2) are collected by diffusion tubes at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1993 to 2015. 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/baf51776-c2d0-4e57-9cd3-30cd6336d9cf

Tags: Alice Holt, Atmospheric Conditions, Drayton, Environmental Change Network, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, NO2, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon
Organization: Environmental Information Data Centre
Bird counts from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/31da0a94-62be-47b3-b76e-4bdef3037360

Tags: Environmental Monitoring Facilities, GMEP, Glastir Monitoring and Evaluation Programme, Wales, agri-environment scheme
Organization: Environmental Information Data Centre
Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018

This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018. Full details about this dataset can be found at https://doi.org/10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7

Tags: EMEP model, Environmental Monitoring Facilities, Surface ozone
Organization: Environmental Information Data Centre
National scale maps of parent material properties, terrain and soil natural capital units at 50 metre resolution for Great Britain, 2020

This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain information includes landform classes, topographic wetness index, and indices of valley bottom flatness and ridge top flatness. Our maps were derived from components of the BGS's Depth to Groundwater and Parent Material Models, digital maps of soil organic carbon content and peat extent, locations of landfill and quarry sites from Open Street Map, and the OS Terrain 50 digital terrain model. The collated third-party datasets were modified to produce a mini data cube of several derived map layers, that were then combined to produce a map of 13 soil natural capital units The maps can be used either individually or collectively to support soil health assessment, to train land cover classification and digital soil mapping algorithms, and modelling of ecosystem services. The full dataset includes 9 raster gridded maps at 50 x 50 metre resolution, with full coverage of England, Scotland and Wales. Northern Ireland was excluded due to a lack of accessible third-party data which we could apply our classification framework to. Our dataset is considered to be representative of soils and landscapes as of the year 2020, based on the maps of soil organic carbon content and locations of quarries and landfills we used. However, it should be stressed that several soil properties, including texture, depth, calcium carbonate contents and drainage reflect much longer-term conditions. Full details about this dataset can be found at https://doi.org/10.5285/5bcd927d-8114-4937-af7e-258cfd137109

Tags: Soil, parent material
Organization: Environmental Information Data Centre
Greenhouse gas and water chemistry data measured across the Tay estuary, Scotland, from 2009-2011

The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh. Full details about this dataset can be found at https://doi.org/10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd

Tags: Environmental Monitoring Facilities, River Tay
Organization: Environmental Information Data Centre