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Environment

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From 1 - 10 / 1101
  • Data comprise water chemistry measurements (major alkali and alkali-earth element water concentrations and trace element concentrations) recorded over two years at seven lakes in Belarus and Ukraine at distances from 1.5 to 225 km of the Chernobyl Nuclear Power Plant (CNPP). The lakes include Glubokoye, Yanovsky lakes and Cooling Pond (high (H) contaminated lakes), Svyatoye Lake (medium (M) contaminated lake) and Stoyacheye, Dvoriche and Gorova lakes (low (L) contaminated lakes). Full details about this dataset can be found at https://doi.org/10.5285/b29d8ab8-9aa7-4f63-a03d-4ed176c32bf3

  • Data comprise of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain. The considered foodstuff groups are: cereals, grapevine (including wine), olive tree (including olive oil), lamb, beef, pork, and dairy products from sheep, goat and cow. The data include: elemental and radioactive concentration in soil, plants, food and feedstuffs; dry to fresh ratios for foodstuffs; animal feeding diet; estimation of overall elemental and radioactive diet concentration; transfer coefficients for vegetal foodstuffs (relating dry matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in soil); and concentration ratios for animal foodstuffs (relating fresh matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in feedstuff). Radionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. Full details about this dataset can be found at https://doi.org/10.5285/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6

  • Data comprise mealworm predation rates measured after 24 hours exposure to invertebrates in mature oil palm (2014), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). 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 (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in 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. Freshly-killed mealworms (larvae of darkling beetles, Tenebrionidae sp.) were glued onto oil palm fronds trimmed so that ca. 10 cm of each of six leaflets remained. Exclusion and stratum treatments in factorial combinations were applied: caged and uncaged, canopy and ground. The cage exclusion treatments were designed so that most invertebrates could access the fronds but vertebrates could not. Full details about this dataset can be found at https://doi.org/10.5285/03d36ac4-4cf4-46d9-a608-866ba0aab458

  • Data comprise site information (site identifier, name, location, zone of interest, land use type, altitude, slope, topographic position and age of deforest and fallow) and historical information from local people in the Ankeniheny Zahamena forest corridor, Madagascar. Data were collected as part of a project funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme under 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/10.5285/5771191f-8c12-40bf-af62-2624876616de

  • Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment (SEPARATE) modelling framework [1]. The SEPARATE framework integrates information on pollutant emissions from multiple sources to provide apportionment and summarises these estimates on the basis of the WFD cycle 2 waterbodies for England and Wales. The estimated loads are expressed as tonnes per year. Sources are both diffuse and point sources. Diffuse sources include agriculture, urban, river channel banks, atmospheric deposition; point sources include sewage treatment works, septic tanks, combined sewer overflows, storm tanks. The pollutant loads and percentages are given as cumulative values with the values from the upstream catchment. Phosphorous is reported both as dissolved phosphorous and total phosphorous. [1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010

  • Data comprise health, reproductive status and relative abundance of mature perch and roach collected in September 2014, March 2015, June 2015 and September 2015 from lakes in Belarus and Ukraine. Measurements presented include age, weight, length, presence of external signs of disease and presence of macroscopic tumors. The Fulton condition index (K), hepatosomatic index (HSI) and gonadosomatic index (GSI) of fish are also presented. The lakes (selected according to hydrological properties and long-term exposure to a gradient of radiation dose) are situated at distances from 1.5 to 225 km of the Chernobyl NPP. Glubokoye, Yanovsky lakes and Cooling Pond are the high (H) contaminated lakes, Svyatoye Lake is a medium (M) contaminated lake, and Stoyacheye, Dvoriche and Gorova lakes are the low (L) contaminated lakes. Full details about this dataset can be found at https://doi.org/10.5285/02a53248-1bfd-4f1e-8f76-888551635c98

  • The dataset describes the data needed for and results produced by the flood risk assessment framework under different development strategies of Luanhe river basin under a changing climate. The Luanhe river basin is located in the northeast of the North China Plain (115°30′ E-119°45′ E, 39°10′ N-42°40′ N) of China, is an essential socio-economic zone on its own in North-Eastern China, and also directly contributes to and influences the socio-economic development of the Beijing-Tianjin-Hebei region. The dataset here used for investigating the flood risk includes (1) uplifts of future climate scenarios to 2030 (2) the validation results of a historical event that happened in 2012; (3) the flood inundation prediction under different development strategies and climate scenarios to 2030; (4) and the spatial resident density map in Luanhe river basin to 2030. Wherein, the uplifts of the future climate change is generated based on the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset and will be applied to the future design rainfall to represent the future climate scenarios; a 2012 event is select to validate the flood model, and the remote sensing data is adopted as real-world observation data; considering the uplifts and future land use data as input, the validated flood model is applied to produce flood inundation prediction under different development strategies and climate scenarios to 2030; and the inundation results are used to overlay the Gridded Population of the World, Version 4 (GPWv4) and then calculate the flood risk map of the local resident. These data are mainly open data or produced by authors. With all these data, the flood risk of the Luanhe river basin in the near future (2030) can be assessed. Full details about this dataset can be found at https://doi.org/10.5285/82055942-386a-4a8b-b2a1-0c3eea12b168

  • This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a field of winter wheat in Lincolnshire, UK during the 2012 growing season. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 5th April 2012 and 8th August 2012. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. Full details about this dataset can be found at https://doi.org/10.5285/c00ac145-6a55-4698-a6ed-13c95d178c96

  • Dataset contains the partial sequence RNA gene from the Lycopodiella inundata, neighboring angiosperms (the grasses Holcus lanatus, Molinia caerulea, and the rush Juncus bulbosus), and a liverwort (Fossombronia foveolata). The samples were collected from Thursley National Nature Reserve, Surrey, United Kingdom, in June 2017. This data is NERC-funded but not held by the EIDC. Representative DNA sequences were deposited in the GenBank/EMBL data libraries under accession numbers MK673773–MK673803. https://www.ncbi.nlm.nih.gov/nuccore/MK673773,MK673774,MK673775,MK673776,MK673777,MK673778,MK673779,MK673780,MK673781,MK673782,MK673783,MK673784,MK673785,MK673786,MK673787,MK673788,MK673789,MK673790,MK673791,MK673792,MK673793,MK673794,MK673795,MK673796,MK673797,MK673798,MK673799,MK673800,MK673801,MK673802,MK673803

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes measurements of annual growth of the higher plant species in the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. Years include 1999, 2000, 2001, 2003, 2004, 2006, 2007, 2008 and 2009, and in each the measurements were taken in August (at a time of maximum veteative growth at the site). Data include maximum shoot elongation, leading shoot length, and number of flowers, leaves and branches. Full details about this dataset can be found at https://doi.org/10.5285/eb7599f4-35f8-4365-bd4a-4056ee6c6083