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  • Computational data associated with paper entitled Computational analysis of M-O covalency in M(OC6H5)4 (M = Ti, Zr, Hf, Ce, Th, U)
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  • Within this dataset, the coordinate data of the calculations performed in this study will be included. All calculations were performed using TURBOMOLE 7.2, 7.2.1 or 7.3. Calculations are separated by type - PEECM or molecular - with PEECM further separated by actinide substitution site and charge balancing ion.
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    • Dataset
  • Data from exponential phase of batch cultures of Chinese Hamster Ovary (CHO) cells (13 cell lines / conditions). It contains biomass composition data at one time point in mid-exponential phase (dry mass, protein, lipid, DNA, RNA and carbohydrate content, amino acid and lipid composition), which shows variability of the composition among different cell lines/conditions. Extracellular concentrations of metabolites (amino acids, glucose, lactate, ammonia) were measured throughout the exponential phase and the uptake/secretion rates were calculated. Flux balance analysis was performed to see the impact of cell line specific biomass composition and uptake/secretion rates (calculated with different sampling frequencies) on the predictions of growth rates. Data is structured according to figures in the associated manuscript. For more detailed descriptions of the files see "read_me.txt" files in each folder.
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  • These are companion data to the paper "Unblending of transcriptional condensates in human repeat expansion disease" at CELL 2020, May 7, doi: https://doi.org/10.1016/j.cell.2020.04.018 Shaon Basu, Sebastian D. Mackowiak, Henri Niskanen, Dora Knezevic , Vahid Asimi, Stefanie Grosswendt, Hylkje Geertsema, Salaheddine Ali, Ivana Jerković, Helge Ewers, Stefan Mundlos, Alexander Meissner, Daniel M. Ibrahim, Denes Hnisz It includes raw data, microscopy images, computational datasets to generate the figures in the study. Programming code is available at https://github.com/hniszlab/hoxd13 GEO data is available GSE128818
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    • Software/Code
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    • Sequencing Data
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  • Output from DL_POLY: (preheat_RT, 1433, cd_RT) Output from RMC_++: (coefficient file, output) Experimental EXAFS data
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  • Optimized geometries for Pa and Np systems and IQA data for all systems studied.
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  • The effect of 104 mass ppm of hydrogen on the evolved microstructures associated with accelerated fatigue failure in type 304 austenitic stainless steel is reported. The fracture surface morphology changed from ductile striations to mixed mode that appeared “quasi-cleavage-like” and “flat.” Detailed microstructural characterization determined these fractures were along the austenite-martensite interfaces. The morphology and orientation of the strain-induced martensite were impacted by the presence of hydrogen. Hydrogen constrained the formation of 𝛼’-martensite into linear, planar bands in the grain nearest the fracture surface, and 𝜀-martensite was formed between the 𝛼′-martensite bands. The dislocation structure generated by the cyclic loading and the restriction of the martensitic transformation to specific forms by hydrogen is explained through the hydrogen-enhanced localized plasticity mechanism and accounts for the change in fracture mode.
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    • Software/Code
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  • Therefore 15experimental bench blasts are performed at Wahola limestone quarry with different explosive ratios and drilling parameters to study the results of ground vibration. The objective of this study is to control ground vibration for quarry safety management. During this study ground vibration of experimental blasts is recorded to study their relation with quantity of explosives, ratios of explosives and drilling parameters. To achieve this objective, data is carefully checked and recorded for all important parameters of experimental blasts. Ground vibration level for each blast is recorded separately by using micro mate. On the basis of results of these experimental blasts, new blasting parameters are suggested to control environmental hazards. Explosive for experimental blast was calculated very carefully. All possible hazards were identified and mitigation measures were taken before charging of explosive.
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  • Dataset for 5 interstellar meteoroid candidates collected with the Canadian Meteor Orbit Radar (CMOR). Includes amplitude-pulse profiles, radar receiver station location information, computed trajectory and orbit information
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  • We designed a novel device, called CRoAK, to quantify the movements of small animals in response to acoustic stimulation. We built our setup in a mini acoustically insulated chamber in which we suspended a small acoustically transparent animal enclosure. On the bottom of the enclosure, we attached an Arduino controlled 9 Degrees of Freedom (9DoF) Inertial Measurement Unit (IMU) that combines three different 3-axis sensors, an accelerometer (linear acceleration), a gyroscope (angular velocity), and a magnetometer (direction of the magnetic field). In our implementation of CRoAK, we relied solely on the gyroscope to quantify the motion of the enclosure in response to the movements made in response to a stimulus. We did not use the accelerometer in this implementation because we anchored the suspended enclosure to minimize oscillations in the system after perturbation by an animal’s movement. This means that, by design, we eliminated the possibility of linear translation such that movements would result in angular displacement of the enclosure that could be captured by the gyroscope. Other users may find the accelerometer more useful in customized implementations of CRoAK more suitable to their purpose. We also did not use the magnetometer in our single-speaker setup, but it could be used in multi-speaker implementations of CRoAK to measure perturbations of the local magnetic field that occur when different speakers are being driven, for example, to coordinate movements with sounds broadcast from different directions. Here we provide CAD figures of the device along with the Arduino code that was used to collect data from the sensor.
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