Contributors: UnaElsLive Natra, mdgmatest5 live
... RDM - File Type Support 21May2019 ElsCustomer Apart from .u3d all files preview [ .obj / .ply / .vtk / .stl / .ent / .brk / .pdb / .pse / .mol / .mol2 / .cif / .u3d / .dcm / .nii] - .pse is not supported
Keeping order in the brain: the supramarginal gyrus and serial order in short-term memory - dataset and materials
Contributors: Giacomo Guidali, Alberto Pisoni, Nadia Bolognini, Costanza Papagno
... Dataset and materials for the rTMS study "Keeping order in the brains: the supramarginal gyrus and serial order in short-term memory". In the "Experiment folders" there are the E-Prime script of the tasks and the stimuli used. In the "Database and all anlysis" folder, there is the anonymus excel database of all 4 experiments and the Statistica workbook with all the analyses conducted and reported in the paper.
Contributors: ginny-marie Bradley
... Data used during my PhD on the Tumblagooda Sandstone to compare modern paralic systems to one deposited in the absence of plants.
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Contributors: Simon Thomas
... This data is supplementary data for a journal submission to JSV. The data-set includes: Strand7 Models of major third and minor third bells. Strand7 Log files for a Natural frequency analysis of the aforementioned bell files. An excel spreadsheet of natural frequency results. An image of the 3D additive manufactured Bell, a sound clip of it being struck, and its frequency spectrum analysis.
An Application of Deep Learning to Detect Process Upset during Pharmaceutical Manufacturing using Passive Acoustic Emissions
Contributors: Allan Carter, Lauren Briens
... Acoustic emissions during distributor plate blockage in a top spray fluidized bed.
Contributors: aswin Sundarakrishnan
... The data associated with this manuscript is available here.
Contributors: Xavier Martin-Rubió, Irati Diert
... Comic strip descriptions by 24 students from Universitat de Lleida before and after their stay abroad during the 2013-2014 academic year.
Behavioral data collected and analyzed from Reetzke et al. Tracing the trajectory of sensory plasticity across different stages of speech learning in adulthood
Contributors: Rachel Reetzke, Yang Hai, Fernando Llanos, Bharath Chandrasekaran
... These two folders contain the behavioral data collected and analyzed in Reetzke et al. Tracing the trajectory of sensory plasticity across different stages of speech learning in adulthood. 1_Tone Categorization = Sound-to-Category Training Task; Generalization Task; and Dual-Task 2_Perceptual Identification = Perceptual Identification Task Both folders contain: 1. Chinese participant data 2. English participant data from the four learning phases: novice, experienced, overtrained, and retention 3. Stimuli used in respective experiments 4. Readme.txt file with further description of the data organization from the respective experiments.
Tailoring the microstructure and suppressing the β-AlFeSi intermetallic formation in 319 aluminum alloy through spray forming
Contributors: Lucas Otani
... Iron has very low solubility in aluminum, leading to the formation of Fe-rich intermetallic phases, such as β-AlFeSi. This phase forms with a platelet-like morphology that is detrimental to the mechanical properties of the alloy. It is well known that by applying high cooling rates or by adding manganese to the alloy it is possible to stabilize the α-AlFeSi or α-Al(Fe,Mn)Si intermetallic phase instead of the more detrimental β-AlFeSi. Spray forming is an advanced casting process that has been described as a potential technique to suppress β-AlFeSi formation. This work investigated the effect of different processing parameters on the microstructure evolution of spray-formed aluminum 319 alloy, mainly regarding the formation of α and β intermetallic phases. Results showed that the suppression of the β-AlFeSi strongly depends on the processing conditions and can be explained by the solidification mechanism prevailing in spray forming.
Contributors: Knut Einar Rosendahl
... Abstract of associated article: We examine the largest cost component in offshore development projects, rig rates. High rig rates in recent years have restricted development of new oil and gas fields, as well as IOR projects and thus increased the cost for importing countries. Thus, it is important to understand developments in rig rates. Using econometric analysis, we examine the effects on jackup rig rates from gas and oil prices, rig capacity utilisation, contract length and lead time, and rig-specific characteristics like drilling depth capacities and rig classification. Having access to a unique data set from the Gulf of Mexico (GoM), containing contract information, we are able to estimate how contract parameters crucial to the relative bargaining power between rig owners and oil and gas companies affect rig rates. We find that increasing lead times and contract lengths enhance the bargaining power of the rig companies and are likely to be associated with higher rates for new contracts. Further, we find that gas prices are more important for jackup rig rates in the GoM area than oil prices — ten percent increase in gas prices leads to nine percent increase in rig rates in the long run, according to our results.