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Research data keyboard_double_arrow_right Dataset 2020Publisher:NERC Environmental Information Data Centre Morrison, R.; Brooks, M.; Cooper, H.M.; Evans, J.G.; Rowe, R.L.; Ward, H.C.; McNamara, N.P.;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. Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). Further details are available in the supporting documentation.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:NERC EDS Environmental Information Data Centre Authors: Rowe, R.L.; Keith, A.M.; Morrison, R.; McNamara, N.P.;Data from 2011 was generated from 0- 30cm soil cores taken from fifteen randomly selected sampling plots per field (Miscanthus and Arable) using Sampled were taken using a split-tube soil sampler With samples divided into 15 cm depth increments. In 2016, the same sampling procedure was applied but the sampling depth was extended at 3 sampling locations to 1 m using a window sampler system, with samples divided into 10 cm increments. Laboratory processing to determine oven-dry soil mass, soil moisture content, root and stone mass and volume followed methods used in the GB Countryside Survey. Assessment of carbon content was performed on oven dried (105c) ball milled sub samples using an elemental analyser, with standards. Prior to analysis samples were treated with Hydrochloric acid (HCL) to remove inorganic C. Due to changes in bulk density between land uses and over time the “Lincoln_Miscanthus_Soil_C_Data” dataset should not be used directly for the comparison of impacts of land use or land management on soil C stocks. For such a comparison, the “Lincoln_Miscanthus_ESM_Soil_C_Data” database should be used. This provides data converted to carbon content on an equivalent soil mass (ESM) basis specifically for use in the comparison of land management impacts. ESM used a reference dry soil mass of 4,000 Mg ha−1 and 10,390 Mg ha-1 for the 0–30 cm and 0–70 cm soil depths, respectively, following the equation below. The reference soil masses are based on the median soil mass across all cores for each depth (following Gifford & Roderick, 2003). Equation 2: SCESM = SC upper + (ConcLower (Mref - Mupper)) SCESM is the soil C stock based on the selected equivalent soil mass (Mg C ha-1), SCupper is the C stock (Mg C ha-1) of the upper soil section, ConcLower is the C concentration of the lower layer (%C), Mref is the reference mass selected (Mg ha-1) and Mupper is the soil mass of the upper core sections (Mg ha-1). Summed values of the 0–10 cm and 10–20 cm were used as the upper section with 20–30 cm as the lower section. In the 0–70 cm depth the upper section defined as the 0–60 cm layer and the lower section being the 60–70 cm layer. The “Lincoln_Miscanthus_Soil_C_Data” can be used for model development or to calculate soil C stock impacts using alternative methods which account for bulk density changes. The dataset contains results of analysis of soil cores taken from a commercial Miscanthus bioenergy plantation located near Lincolnshire. Measurements are provided for each soil core (and separated increments to a maximum depth of 1 m) including soil carbon, soil moisture, root, and stone volume and bulk density. Samples were taken prior to (2011) and after (2016) remedial tillage activities (conducted in 2013). The dataset also includes samples from a paired arable control field (sampled in 2011) and a paired un-tilled Miscanthus field (sampled in 2016). Data from 2011 covers surface soil (0-30 cm) and data for 2016 covers soil profile to a depth of 1 m in 10 cm increments.
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Research data keyboard_double_arrow_right Dataset 2020Publisher:NERC Environmental Information Data Centre Morrison, R.; Brooks, M.; Cooper, H.M.; Evans, J.G.; Rowe, R.L.; Ward, H.C.; McNamara, N.P.;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. Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). Further details are available in the supporting documentation.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://dx.doi.org/1... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:NERC EDS Environmental Information Data Centre Authors: Rowe, R.L.; Keith, A.M.; Morrison, R.; McNamara, N.P.;Data from 2011 was generated from 0- 30cm soil cores taken from fifteen randomly selected sampling plots per field (Miscanthus and Arable) using Sampled were taken using a split-tube soil sampler With samples divided into 15 cm depth increments. In 2016, the same sampling procedure was applied but the sampling depth was extended at 3 sampling locations to 1 m using a window sampler system, with samples divided into 10 cm increments. Laboratory processing to determine oven-dry soil mass, soil moisture content, root and stone mass and volume followed methods used in the GB Countryside Survey. Assessment of carbon content was performed on oven dried (105c) ball milled sub samples using an elemental analyser, with standards. Prior to analysis samples were treated with Hydrochloric acid (HCL) to remove inorganic C. Due to changes in bulk density between land uses and over time the “Lincoln_Miscanthus_Soil_C_Data” dataset should not be used directly for the comparison of impacts of land use or land management on soil C stocks. For such a comparison, the “Lincoln_Miscanthus_ESM_Soil_C_Data” database should be used. This provides data converted to carbon content on an equivalent soil mass (ESM) basis specifically for use in the comparison of land management impacts. ESM used a reference dry soil mass of 4,000 Mg ha−1 and 10,390 Mg ha-1 for the 0–30 cm and 0–70 cm soil depths, respectively, following the equation below. The reference soil masses are based on the median soil mass across all cores for each depth (following Gifford & Roderick, 2003). Equation 2: SCESM = SC upper + (ConcLower (Mref - Mupper)) SCESM is the soil C stock based on the selected equivalent soil mass (Mg C ha-1), SCupper is the C stock (Mg C ha-1) of the upper soil section, ConcLower is the C concentration of the lower layer (%C), Mref is the reference mass selected (Mg ha-1) and Mupper is the soil mass of the upper core sections (Mg ha-1). Summed values of the 0–10 cm and 10–20 cm were used as the upper section with 20–30 cm as the lower section. In the 0–70 cm depth the upper section defined as the 0–60 cm layer and the lower section being the 60–70 cm layer. The “Lincoln_Miscanthus_Soil_C_Data” can be used for model development or to calculate soil C stock impacts using alternative methods which account for bulk density changes. The dataset contains results of analysis of soil cores taken from a commercial Miscanthus bioenergy plantation located near Lincolnshire. Measurements are provided for each soil core (and separated increments to a maximum depth of 1 m) including soil carbon, soil moisture, root, and stone volume and bulk density. Samples were taken prior to (2011) and after (2016) remedial tillage activities (conducted in 2013). The dataset also includes samples from a paired arable control field (sampled in 2011) and a paired un-tilled Miscanthus field (sampled in 2016). Data from 2011 covers surface soil (0-30 cm) and data for 2016 covers soil profile to a depth of 1 m in 10 cm increments.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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