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Supplementary Data: Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China using Machine Learning Emulation
No full textThe trained emulators per grid cell in China that support the findings of this study. The emulators predict ambient fine particulate matter (PM2.5) and ozone (O3) concentrations from emission changes in five anthropogenic sectors. The README.txt file explains how to open and use these emulators
The ACE software, and training materials for visualizing missing data and set-type data
Get PDFThis dataset comprises a Java software program called ACE, for visualizing missing data and set-type data. Also included in the dataset are training materials that show how ACE can be used in several data quality and general set data analysis scenarios
Integration of Hydrothermal Carbonisation and Anaerobic Digestion for the Energy Valorisation of Grass - Supporting Data
No full textSupplementary material for Tables and Figures in the associated paper: Integration of Hydrothermal Carbonisation and Anaerobic Digestion for the Energy Valorisation of Grass (https://doi.org/10.3390/en15103495
Sizing up DNA nanostructure assembly with native mass spectrometry and ion mobility
No full textRaw data for all figures in the associated pape
Dataset associated with "Design of a Split Ring Resonator Integrated with On-Chip Terahertz Waveguides for Colon Cancer Detection"
No full textThe results on 'Design of a Split Ring Resonator Integrated with On-Chip Terahertz Waveguides for Colon Cancer Detection
Supplementary: Optimisation of the Nd isotope scheme in the ocean component of the FAMOUS general circulation model
No full textDataset forms the code and data availability for the manuscript 'Optimisation of the Nd isotope scheme in the ocean component of the FAMOUS general circulation model'. Contains all model code, input files and model output for the Nd isotope scheme in the ocean component of the FAMOUS General Circulation Model, its optimisation, and sensitivity studies exploring the benthic flux under the global marine Nd cycle
Estimated energy, macronutrient and micronutrient supply for Zambia 1961 to 2013 – Raw data
No full textThe dataset contains Zambia's per capita nutrient supply data for dietary energy, protein, fat, carbohydrate, fibre, vitamin B12, vitamin A, vitamin C, thiamine, niacin, folate, riboflavin, zinc, iron and calcium from 1961 to 2013. The data are based on estimated supply data from the Food and Agricultural Organisation (FAO) food balance sheets, which was linked to food items from the West African and United States Department of Agriculture (USDA) food composition tables, and adjusted for regional household food waste data, including household food expenditure from a 2015 Living Conditions and Monitoring Survey, and a Zambian price index. The dataset contains information on nutrient supplies for individual food items and food commodity groups per capita. Columns are organised according to food commodity groups as they appear in FAO food balance sheets
Stability of Osteochondral Grafts within Porcine Femoral Condyles - experimental, imaging and computational data for preclinical assessment
No full textThe dataset contains the raw microCT scan data, computational and experimental test results, and scripts used in the associated paper. Specifically, this is testing data for the bone material property derivation of porcine femoral condyles and stability testing of porcine osteochondral allografts. Example finite element example models are also included, provided in INP format
Materials associated with PhD Thesis 'Embodying Greek Tragedy: Phenomenological Explorations of the Suffering Body in Theory and Practice'
Get PDFVideo files from Project 1 - Prometheus Immobile, Project 2 - Bacchae in Absentia and Project 3 - Medea Inside.'
The materials have copyright restrictions but will be released when permission is forthcoming from rights holders
DigiBog model input, setting, and output files of some typical tropical peatland conditions in Sebangau, Kalimantan, Indonesia
No full textDigiBog_Hydro is a hydrodynamics model that is usually being used to model water-table dynamics in peatlands. We modelled drained tropical peatlands, typical of those found in Sebangau, Kalimantan, Indonesia. The modelled scenarios counted in several items: degree of peatland degradation, climate, ditch dam and bund existence, and bund depth. The degree of peatland degradation had two variants, which were moderately degraded (Mod-Dgr) and severely degraded (Sev-Dgr) peatlands. Three years with different climate conditions were simulated, which were a La Niña year (LaN) (1 February 2011 to 8 February 2012), an ENSO ‘Neutral’ year (Ntr) (1 February 2013 to 8 February 2014), and a El Niño year (ElN) (1 February 2015 to 8 February 2016). The ditch dam and bund existence variations were a drained peatland with ditch dams and bunds (Combined), a drained peatland with bunds but without dams (Bunded), a drained peatland with dams but without bunds (Dammed), and a drained peatland without dams and without bunds (Control). In the scenarios that involve bunds, two bunds variants were used, which were On-Surface (Os) and Extended (Ex). The DigiBog _Hydro model was supplied with net rainfall data, accompanied with hydraulic conductivity and specific yield data that were vary in the x-y plane and in depth. The model was also provided with initial and boundary condition data. The main model settings were stored in parameter and column status files. The outputs of DigiBog_Hydro were peatland water-table variations at a certain interval within the simulated period