AndreaBozzo/ceres-open-data-index huggingface dataset:
Wild bee abundance and species richness, survey data from Leighfield Forest, Leicestershire and Rutland, 2020

This dataset contains records on the abundance and species richness of wild bees along transects in ten 1x1 km survey squares of the Leighfield forest region of Leicestershire and Rutland, UK collected in the Spring and Summer of 2020. The dataset also contains a 10 m resolution raster land cover map of the survey sites and spatially referenced GIS files of the survey transect paths. The work was carried out by the data authors to assess pollinator abundance and species richness within the rural landscape of Leighfield Forest. The research was funded through NERC Grant Reference : NE/L002493/1Central England NERC Training Alliance (CENTA) Full details about this dataset can be found at https://doi.org/10.5285/4f4d2ef6-2f31-4aa6-aa1a-fe79cc6d6b04

Tags: Environmental Monitoring Facilities, Leighfield Forest, Wild bee
Organization: Environmental Information Data Centre
Thames catchment hydrometric and water quality data 2013-17

Urban water quality and hydrometric data for a range of urban developments in in the south of England. Water quality has been obtained from fortnightly-monthly sampling of river water using a Manta 2 sonde, and includes the parameters: ammonium, DO, pH, specific conductivity, temperature and turbidity. Rainfall was measured using a number of 2mm tipping bucket raingauges across the urban sites and through QC deriving a 15min time series of rainfall in millimetres for each site. Flow in cumecs was derived from in-situ stream channel measurements of velocity and depth using ultrasonic flow monitoring gauges. Full details about this dataset can be found at https://doi.org/10.5285/793874b5-48b0-4971-8172-1cf97c35230f

Tags: DO, Hydrography, West London, pH, rainfall, river flow, specific conductivity, temperature, urban rivers
Organization: Environmental Information Data Centre
Pan trap survey data from the UK Pollinator Monitoring Scheme, 2017-2022

This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years, and that the survey first became active in Northern Ireland in 2021, which was a pilot year in that country). This survey uses pan traps positioned on transects within a randomly allocated set of 1 km squares across the UK. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-trap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.) UK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2022: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, the University of Reading and University of Leeds. PoMS Steering Group members in 2022 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, Buglife and National Biodiversity Network. Full details about this dataset can be found at https://doi.org/10.5285/4a565007-d3a1-468d-9f84-70ec7594fafe

Tags: Environmental Monitoring Facilities, Species Distribution, UK Pollinator Monitoring Scheme (PoMS), apidae, hoverflies, pan traps, syrphidae
Organization: Environmental Information Data Centre
Soya value chain in central Mozambique

This dataset contains the transcripts of interviews and discussion groups on the current soya production from ten villages in the Gurue district, Zambezia province, Mozambique. The ten villages were selected from different stages of a land scarcity gradient running from villages with abundant land to those with intense land constraints, mainly driven by expanding agricultural activities and population density. The villages had similar infrastructure, soils, rainfall, and vegetation types. Interviews and focus group discussions were conducted with village small-scale soya producers, emergent soya farmers, managers of commercial soya producing operations, district officer, technicians of NGOs, formal and informal traders between July and December 2015. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Full details about this dataset can be found at https://doi.org/10.5285/18c8cbf3-ed55-4065-b52b-b2a4c2ffdf1c

Tags: ACES, ESPA programme, soya
Organization: Environmental Information Data Centre
Household composition, income and assets survey data (including environmental product collection) from Mabalane, Gurue and Marrupa districts, Mozambique in 2014 and 2015

This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. Data were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language. The objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. All the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed. Full details about this dataset can be found at https://doi.org/10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858

Tags: Abrupt Changes in Ecosystem Services (ACES)
Organization: Environmental Information Data Centre
Belowground carbon stock data in the Ankeniheny Zahamena forest corridor, Madagascar

Data comprise root weight (fresh and dry), root biomass and carbon stock, root mat measurements, root architecture, litter measurements and pivot, stump and surface root data for trees selected using the Voronoi or Pit method and sampled in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1 Full details about this dataset can be found at https://doi.org/10.5285/993c5778-e139-4171-a57f-7a0f396be4b8

Tags: CAZ, Corridor Ankeniheny Zahamena, ESPA, Eastern humid region, below ground carbon stock, pit, pivot, stump
Organization: Environmental Information Data Centre
Source Attribution - deposition of nitrogen and sulphur to UK protected sites

This dataset contains source attribution data for nitrogen and sulphur deposition across the UK. The FRAME (Fine Resolution Atmospheric Multi-Pollutant Exchange) atmospheric dispersion model, using emission data from 2012 was used to provide 90 source footprints of nitrogen and sulphur deposition across the UK on a 5 x 5 km grid. A minimum, maximum and gridded average deposition value has been provided for the following protected sites throughout the UK: (i) Special Areas of Conservation (SAC) (ii) Special Protection Areas (SPA) (iii) Sites of Special Scientific Interest (SSSI). The pollutants are further split into both wet and dry deposition, as well as local and long-range sources. Habitat-specific data are provided for (i) forest, (i) moorland (short semi-natural vegetation), and (iii) grid average (average of arable, grassland, urban, forest and moorland land cover types) forest everywhere. The work in generating and compiling this dataset has been funded by the UK pollution and conservation agencies: Natural Resource Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH). Full details about this dataset can be found at https://doi.org/10.5285/c4c2c5ae-d926-4ee0-b069-6479ecab2787

Tags: Protected Sites, nitrogen deposition, source attribution
Organization: Environmental Information Data Centre
Maritime fuel demand projections for the year 2050 at 1377 global ports

This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter than 1000 km are excluded as these will likely be electrified. The projected fuel demand is given in tonnes of Heavy Fuel Oil. Full details about this dataset can be found at https://doi.org/10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752

Tags: Environmental Monitoring Facilities, decarbonization, trade projections
Organization: Environmental Information Data Centre
Vegetation data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021

Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover. Data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Vegetation surveys were conducted in restored and unrestored reaches of the South Fork McKenzie River with a view to quantifying differences in vegetation 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/10.5285/251081d0-0388-44fa-b5f9-a4c784f64218

Tags: River restoration, South fork mckenzie, Stage zero, Vegetation, Wildfire
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal biomass in mudflat and saltmarsh habitats

The dataset details macrofaunal biomass across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the biomass of individual invertebrate species 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 of each species weighed. Values for macrofaunal biomass are expressed as grams per square metre of sediment. Biomass 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/10.5285/0990858a-facc-47c5-bfbe-58fa30431db8

Tags: BESS, CBESS, Habitats and Biotopes
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) soil solution chemistry data: 1992-2012

[THIS DATASET HAS BEEN WITHDRAWN]. Soil solution data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include pH, conductivity, alkalinity, aluminium, calcium, chloride, ammonium, nitrate nitrogen, phosphate phosphorous, potassium, sulphate sulphur, sodium, total nitrogen and total dissolved phosphorous. These data are collected by suction samplers at all of ECN's terrestrial sites using a standard protocol. They represent continuous fortnightly records from 1992 to 2012. 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/10.5285/456c24dd-0fe8-46c0-8ba5-855c001bc05f

Tags: Alice Holt, DOC, Drayton, Environmental Change Network, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, North Wyke, Rothamsted, Soil, Sourhope, Wytham, Yr Wyddfa - Snowdon, alkalinity, magnesium, pH, potassium, sodium, water
Organization: Environmental Information Data Centre
Broadleaved woodland survey of Great Britain, 2020-2022

These data are a 2020-22 repeat of a survey undertaken in 1971, and again between 2000 and 2003, when 103 broadleaved woodlands were surveyed across Britain. Ecological information was recorded at the site level and in more detail from sixteen, 200 m-2 sample plots located at random within each site. Data were collected on plant species composition of the canopy and ground flora, soil pH and Soil Organic Matter, habitat management and a wide range of other plot and site-level descriptors. This edition of the survey, comprising a re-visit to 97 sites, was funded by a consortium led by the Woodland Trust, and carried out by professional ecologists managed by the UK Centre for Ecology & Hydrology. Users of the dataset should consult the supporting documentation for further information on field methods and analytical results. Full details about this dataset can be found at https://doi.org/10.5285/42c203c8-44de-40e2-a694-b1e8cbd4c8e1

Tags: Britain, Habitats and Biotopes, ground flora, plants, woodland
Organization: Environmental Information Data Centre
Rift Valley fever virus seroprevalence data from cattle, sheep and goats sampled in a cross sectional survey in Tana River County, Kenya (2013)

These data provide results from serological analysis carried out on serum collected from cattle (sample number = 460), goats (sample number = 949) and sheep (Sample number = 574) combined with data collected at the household and subject/animal levels at the time of serum sampling. The data collected at the household and subject/animal levels were: the total number of livestock owned by a household, altitude, geographical coordinates of the sampling sites; and breed, age, sex and body condition score of an animal. The research was carried out in irrigated and non-irrigated areas in Tana River County, Kenya. Field surveys were implemented in August to November 2013 and laboratory analyses were completed in June 2015. Serum samples were harvested from blood samples obtained from animals and screened for anti-Rift Valley Fever (RVF) virus immunoglobulin G using inhibition (enzyme-linked immunosorbent assay) ELISA immunoassay. The household data was collected using Open Data Kit (ODK) loaded into smart phones. The serological analysis was performed to determine the risk of Rift Valley Fever virus exposure in cattle, sheep and goats. The aim of the survey was to investigate whether land use change, specifically the conversion of rangeland into cropland, affected RVF exposure pattern in livestock. The data were collected by experienced researchers from the Ministry of Livestock Development Nairobi, Kenya and the International Livestock Research Institute (Kenya). This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by Consultative Group on International Agricultural Research (CGIAR) Research Program Agriculture for Nutrition and Health led by International Food Policy Research Institute (IFPRI). Full details about this dataset can be found at https://doi.org/10.5285/b9756c4c-9894-4147-a260-a79067604a06

Tags: Drivers of Disease in Africa Consortium (DDDAC), Ecosystem Services for Poverty Alleviation (ESPA), RVF, Rift Valley Fever, Tana River, cattle, goats, seroprevalence, serum, sheep
Organization: Environmental Information Data Centre
Daily estimates for meteorological and potential evapotranspiration variables (CHESS) and soil moisture estimates (JULES) at COSMOS-UK sites, 2013-2017

This dataset provides daily estimates at locations that are part of the COSMOS-UK monitoring network for meteorological and potential evapotranspiration variables in the Climate hydrology and ecology research support system for the period 2013-2017 (CHESS-met and CHESS-PE). Additionally, for the same period, it provides estimates at COSMOS-UK sites locations for soil moisture simulations provided by JULES (Joint UK Land Environment Simulator) at four layers: top layer (0.0-0.1 m depth), second layer (0.1-0.35 m depth), third layer (0.35-1 m depth) and bottom layer (1-3 m depth). The following variables are available in the dataset: daily temperature range (K), specific humidity (kg kg-1), precipitation (kg m-2 s-1), air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), wind speed (m s-1), potential evapotranspiration (mm day-1) and potential evapotranspiration with interception correction (mm day-1), soil moisture content of 1-top layer (m depth), soil moisture content of 2-second layer (m depth), soil moisture content of 3-third layer (m depth) and soil moisture content of 4-bottom layer (m depth). Full details about this dataset can be found at https://doi.org/10.5285/2bc23a5a-3a47-44da-80f6-ced6ae4ac45f

Tags: CHESS, COSMOS-UK, JULES, Meteorological geographical features, air pressure, humidity, temperature range, wind speed
Organization: Environmental Information Data Centre
Fine root arbuscular mycorrhizal colonisation in fertilised plots in Central Amazon, 2018

The data consists of total arbuscular mycorrhizal fungi colonisation in fine roots 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. Total mycorrhizal colonisation is given as a mean of the plant community per plot, where five points inside each plot were sampled in the 0-10 cm soil layer. The spreadsheet depicts the percentage of fine root length colonised by different arbuscular mycorrhizal structures (hyphae, arbuscules and vesicles). Samples were collected in February 2018, eight months after the nutrient fertilisation started 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/10.5285/52f756a1-a0f6-4991-b21b-4042018a451f

Organization: Environmental Information Data Centre
Litterfall production in human-modified forests of Eastern Amazonia

This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. Full details about this dataset can be found at https://doi.org/10.5285/d01084b2-c3b1-4187-b2e7-b0827c738855

Tags: Brazilian Amazon, Forest ecology, Forest fire, Litterfall
Organization: Environmental Information Data Centre
Macroinvertebrates of the river Thames catchments UK: taxon data

Data comprise species level descriptions of macroinvertebrate communities and habitat descriptions from wadeable rivers of the Thames catchment, in the United Kingdom (UK), sampled over three seasons in the years 2009 - 2010. Full details about this dataset can be found at https://doi.org/10.5285/5700501d-feb4-445d-aa08-81a158e54bac

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sediment stability by Cohesive Strength Meter (CSM) in salt marsh and mud flat habitats

The dataset comprises the surface stability of sediments as determined by a Cohesive Strength Meter (CSM). Between 3 and 5 replicate measurements were taken from each of the 22 designated experiment quadrats at each of the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sites. At each CBESS site, a salt marsh site and a mud flat site was examined and three locations were selected in Morecambe Bay, North West England and three locations in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data were 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/10.5285/64d64b2c-5f80-4dd5-b778-41c048f96caf

Tags: BESS, CBESS, Cohesive Strength Meter, Habitats and Biotopes, critical erosion threshold, sediment stability
Organization: Environmental Information Data Centre