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[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes measurements of photosynthesis for the dominant higher plant species in the experimental plots at the Climoor field site in Clocaenog Forest. Plant species included are Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. Ambient light measurements are included as well as light response curve measurements. Data was collected infrequently between 2001-2003 for Calluna and Vaccinium, and just in 2001 for Empetrum. Full details about this dataset can be found at https://doi.org/10.5285/f5e7e03c-ecf3-4455-8567-e1ad8daa66ee
[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes vegetation chemistry data from the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. It also includes data from material collected from outside, but nearby, the experimental plots. Both green and naturally senesced material was analysed between 1998 and 2010 (although not every year was included within this period). Where green material was analysed, only the current years growth was included in the sample. The dataset also includes analysis of different parts of the plants at the site, for example, Calluna vulgaris stems, Calluna vulgaris leaves. Plant species include Calluna vulgaris, Vaccinium myrtillus, Empetrum nigrum, Deschampsia flexuosa, Pleurozium schreberi. Determinants include carbon, nitrogen, phosphorus, potassium, calcium, magnesium, lignin, tannin, alpha-cellulose and carbohydrates. Full details about this dataset can be found at https://doi.org/10.5285/0e8a3212-3b7a-40b4-890b-4f6565aca87a
This dataset provides the location details of Environmental Change Network (ECN) sites from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large rivers and lakes. ECN is the UK's long-term environmental monitoring programme. A wide range of integrated physical, chemical and biological variables which drive and respond to environmental change are collated, quality controlled and made freely available for scientific research. The data form an important evidence base for UK environmental policy development. ECN 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.
This data set includes soil chemical, physical and microbial properties collected across a two-century glacial chronosequence across six streams in Glacier Bay, Southeast Alaska, U.S.A. We measured soil potential nitrification, denitrification, as well as stable isotopes (delta-15N and delta-13C) of leaves and soil to establish how physical and biological changes associated with ecosystem development interact to determine rates of carbon (C) and nitrogen (N) turnover. Secondly, how these interactions were reflected in the isotopic signature of vegetation and SOM. Data were collected between June 2011 and September 2013 during summer sampling campaigns. Full details about this dataset can be found at https://doi.org/10.5285/7c4c1ed0-3d45-4b7f-8007-b81f6028d686
This dataset consists of measurements of leaf and root growth, species abundance and soil temperature made in ten subarctic plant communities located at the Arctic Biosphere Atmosphere Coupling at Multiple Scales (ABACUS) project sites near to Abisko, Sweden, and Kevo, Finland. The data were collected during the summer growing seasons (May to September) in 2008 and 2009, and comprise field survey measurements, temperature logs and values derived from analyses of mini-rhizotron images. Full details about this dataset can be found at https://doi.org/10.5285/887a5e91-93be-4f5d-8674-b2d22a1ae8ae
Data on genetic variation in Acacia senegal across its natural range, based on two chloroplast marker types - RFLP (restriction fragment length polymorphism) and microsatellites. Full details about this dataset can be found at https://doi.org/10.5285/de1f9a43-dd0d-428c-af7b-2dfdfc8c127a
The BGS Hydrogeological Maps of Scotland data product is comprised of three datasets: Bedrock Aquifer Productivity (Scotland); Superficial Aquifer Productivity (Scotland); and Groundwater Vulnerability (Scotland). Aquifer productivity is a measure of the potential of aquifers to sustain a borehole water supply. The Aquifer Productivity (Scotland) datasets indicate the location and productivity of bedrock and superficial aquifers across Scotland, and their groundwater flow characteristics. The Groundwater Vulnerability (Scotland) dataset shows the relative vulnerability of groundwater to contamination across Scotland. The BGS Hydrogeological Maps of Scotland data product is developed as a tool to support groundwater resource management. It may be useful to anyone interested in learning more about, assessing or managing groundwater resources across Scotland. The datasets within the product are delivered at 1: 100 000 scale.
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
[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily automated weather station (AWS) data from the Climoor field site in Clocaenog forest, NE Wales. It runs from 12/6/1999 until 31/12/2013, and contains air temperature (mean, minimum and maximum), rainfall, net radiation, solar radiation, photosynthetically active radiation (PAR), wind speed and direction. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Full details about this dataset can be found at https://doi.org/10.5285/01592784-807b-453a-ac52-0478ad616484
This dataset includes rainfall, river and stream hydro-chemistry data from the River Hafren (Severn). The dataset represents high-frequency (7 hourly) monitoring of stream hydrochemistry at both the Lower and Upper Hafren site from 2007-2009, as well as rainfall hydrochemistry near the Carreg Wen meteorological site. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water temperature. Full descriptions of the analytical methods used for each determinand is included. The Plynlimon research catchments lie within the headwaters of the River Severn in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research; other linked datasets include river flow, meteorology and a variety of detailed spatial datasets representing the topography, soils and rivers of the catchments. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968. Full details about this dataset can be found at https://doi.org/10.5285/551a10ae-b8ed-4ebd-ab38-033dd597a374