Rothamsted Research
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The model-generated dataset includes simulated daily dry matter accumulation of above-ground organs (leaves, stems and grains) of winter wheat and maize, soil water content in different soil layers and organic matter stocks in the topsoil and subsoil layers, and final crop dry matter from 1983 to 2004 (wheat) or 2015 (maize). A prediction of the variables under various future climatic scenarios is also included. The SPACSYS model was applied to a historic experimental site on the Loess Plateau in China. Observed crop yields of winter wheat from 1993 to 2004 and maize from 1983 to 2015 were used to validate the model. The validated model was run again under different climate scenarios from 2015 to 2049 to predict daily dry matter accumulation of above-ground organs including leaves, stems and grains, daily soil water content in different layers and soil organic carbon stocks in the topsoil and subsoil layers. Full details about this dataset can be found at https://doi.org/10.5285/03e74f94-88a5-4f09-b9ea-1447dd3e2b85
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[This dataset is embargoed until October 31, 2024]. This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%). The model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios). Full details about this dataset can be found at https://doi.org/10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4
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The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours. Two cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months. Full details about this dataset can be found at https://doi.org/10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123
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The data consist of nitrogen gene data, soil biodiversity indices and microbial community composition for three soil depths (0-15, 15-30 and 30-60 cm) from a winter wheat field experiment located in the United Kingdom and collected between April 2017 and August 2017. The sites were Rothamsted Research at North Wyke in Devon and Bangor University at Henfaes Research Station in North Wales. At each site measurements were taken from 15 plots, organised within a randomised complete block design where 5 plots did not receive fertilizers (controls), 5 plots received food-based digestate, and 5 plots received acidified food based digestate a nitrification inhibitor. Soil samples were taken within two weeks of digestate application and shortly before winter wheat harvest. Soil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil samples were taken by members of staff from Centre of Ecology & Hydrology (Bangor), Bangor University, School of Environment, Natural Resources & Geography Sustainable Agricultural Sciences, and Rothamsted Research North Wyke. Measurements were carried out Rothamsted Research Harpenden and the Centre of Ecology & Hydrology (Wallingford). Soil physico-chemical parameters were measured on the same soil samples and are presented in a related dataset. https://catalogue.ceh.ac.uk/id/90df9dfa-a0c8-4ead-a13d-0a0a13cda7ab Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/391c0294-07f1-4856-b592-428bd44055ca
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This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional spring-sown oilseed rape crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/0023bd6e-4dd7-462c-aacf-f13083b054ab
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This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional winter-sown oilseed rape crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/37a503da-d75c-4d72-8e8b-b11c2fdc7d92
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This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional maize crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology &Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/ca6752ed-3a22-4790-a86d-afadaedda082
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This dataset consists of a range of ecological measurements collected from a set of arable fields, each sown with a combination of genetically modified and conventional beet crops. Measurements include species counts in the following areas: weed seedbank, vegetation in the crop, field edge vegetation, invertebrates. The data were collected as part of the Farm Scale Evaluations (FSEs), a four-year programme of research by independent researchers aimed at studying the effect that the management practices associated with Genetically Modified Herbicide Tolerant (GMHT) crops might have on farmland wildlife, when compared with weed control used with non-GM crops. Data were collected by a consortium of: the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology), the Institute of Arable Crops Research (now Rothamsted Research) and the Scottish Crop Research Institute, SCRI (now the James Hutton Institute). Data were collected for four crops overall (Beet, Maize, Spring-sown Oilseed Rape and Winter-sown oilseed Rape). Full details about this dataset can be found at https://doi.org/10.5285/86cd1a60-64f1-4087-a9f1-a3d8a9f8f535
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The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016. The sites were Rothamsted Research at North Wyke in Devon, Bangor University at Henfaes Research Station in North Wales and Easter Bush in Scotland. At each site measurements were taken from 16 plots, organised within a randomised complete block design where 4 plots did not receive fertilizers (controls), 4 plots received urea only, 4 plots received urea and urea-inhibitors, and 4 plots received ammonium-nitrate (Nitram). Fertiliser was applied three times and three cuts were performed, all parameters measured were following a fertiliser application. Samples were taken before the fertilizer additions, at peak growth and before the last silage cut. Soil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil physico-chemical parameters were measured on the same samples and are available in a related dataset measured on the same soil samples and are presented in a separate dataset in the project data series (https://catalogue.ceh.ac.uk/id/7a87dde4-b54e-49b0-8751-1d59e8aebb90). Measurements were undertaken by members of staff from the Centre of Ecology & Hydrology (Bangor, Edinburgh, Lancaster, Wallingford), Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences, North Wyke. Data was collected for the Newton Fund project "UK-China Virtual Joint Centre for Improved Nitrogen Agronomy". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55
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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