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We selected datasets that are indexed by the Mendeley Data Search engine on the 2019-present COVID-19 / Coronavirus pandemic. The aim was to make it easier to find potentially relevant datasets for this specific topic
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this Data reveals all results founded in this research paper
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Palynomorph assemblages and palynofacies analysis have been performed on several core samples from the Devonian–Carboniferous deposits identified in five wells located in the eastern part of the Moesian Platform. The investigated sections include, in ascending stratigraphic order, the Ţăndărei, Smirna, Călăraşi and Vlaşin formations. Based on stratigraphic distribution of key taxa identified (miospores, chitinozoans, acritarchs), seven biozone intervals (four for Devonian and three for Carboniferous) have been recognized. The oldest samples were dated as being part of the micrornatus-newportense (MN) – lower part of breconensis-zavallatus (BZ) interval zones (early Devonian), while the younger ones are assigned to the kosankei-varioreticulatus (KV) – nobilis-junior (NJ) interval zones (late Carboniferous). Palynofacies observations suggest a more distal depositional environment during the period between Lochkovian and Pragian times, followed by some proximal/fluvio-deltaic conditions in Emsian–early Eifelian (the top of Ţăndărei Formation). The upper Tournaisian to Serpukhovian sedimentary rocks of the Călăraşi and lower part of Vlaşin formations were deposited in inner neritic environments. Mud-dominated dysoxic/anoxic conditions prevailed in the Bashkirian, which were quickly succeeded by a deltaic deposition and oxidizing environments which persisted up to Moscovian. The lower Devonian terrestrial palynoflora is dominated by trilete spores which belong to the lowland vegetation of a non-forest mire palaeoecological group. The Carboniferous deposits yielded only terrestrial palynomorphs of various types of arborescent and herbaceous lycopsids and ferns, suggesting different habitats such as non-flooded wetlands or swamps within coastal plain and continental interiors. These assemblages of Carboniferous miospores are an indication of the neutral-humid climatic conditions which existed at the time of deposition.
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There is a detailed Readme.pdf in the files for the informations about the dataset. The main purpose is providing a dataset for the vibration behavior of a robot manipulator system under the control input of model-associative vibration control (MAVC) prodecure. Velocity profile is shown as [∗,𝑡𝑐𝑜𝑛,𝑡𝑑𝑒𝑐,𝑡𝑚] in study. In the case studies for both simulations and experiments, the parameters are varied as follows; 𝑡𝑐𝑜𝑛 can be valued as 0, 𝑡1ℎ or 2𝑡1ℎ, 𝑡𝑑𝑒𝑐 can be valued as 𝑡1ℎ,2𝑡1ℎ,3𝑡1ℎ,4𝑡1ℎ or 5𝑡1ℎ and 𝑡𝑚 can be valued as 1 or 1.5 seconds for corresponded 90 or 135 angular displacements. Thus thirty different velocity profiles are produced with aim to performed on system. Cases are invastigated with and without performing the MAVC procedure. Than the robot manipulator is examined for both unloaded and loaded cases, therefore total one hundred twenty cases are occured. More details can be found in related study.
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Western blots and soft agar images
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Supplementary Data. Includes Excel data tables for ages and shapefiles for ages, geomorphology and ice-sheet reconstruction.
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The image is an enhanced image sample of ancient ceramics. M_ming means plum vase in the Ming dynasty. M_qing means plum vase in the Qing dynasty. Y_ming means Jade pots of spring vase in the Ming dynasty. Y_qing means Jade pots of spring vase in the Qing dynasty.
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The THA-col composite was prepared by mixing THA (2.5% w/v) and col 1 (0.5% w/v) with simultaneous gelation induced by hydrogen peroxide and horseradish peroxidase for THA and neutralization for col. The composite biomaterial ink was characterized for fibrillation by turbidity measurement, fluorescence microscopy and rheological properties (shear thinning behaviour and amplitude sweep) were assessed. Anisotropic properties were introduced upon 3D bioprinting (3D DiscoveryTM, RegenHU) the biomaterial ink. Cellular behaviour was investigated by embedding human mesenchymal stromal cell (MSC) spheroids into the hydrogel. Cell migration as well as chondrogenic differentiations was analysed over time by microscopy with subsequent image analysis (Oval plugin, ImageJ, NIH), gene expression analysis, histological stainings and glycosaminoglycan and DNA quantification. The fibrillation of col 1 and the homogenous distribution of the fibers within THA was shown by second harmonic generation imaging and fluorescent imaging and confirmed by turbidity measurement. After 3D bioprinting an anisotropic alignment of col fibrils was achieved that guided cell migration along the fiber orientation. Cell migration of hMSC spheroids showed similar behavior comparing THA-col and col whereas no migration was present for THA only. Chondrogenic differentiation resulted in an increase in cartilage related genes (col 2, aggrecan) with low tendency of hypertrophy (col X, col I, RunX2). Cartilage like matrix deposition was further corroborated by quantification of GAGs within samples that showed an overall increase within 21 days of culture similar to hMSC pellet control group. Safranin O staining resulted confirmed production of proteoglycans . Extrusion based printing has been investigated to produce scaffolds with anisotropic properties on microscale exploiting the shear forces inducing alignment of col fibres within a shear thinning HA matrix. The combination of the two matrix components brings unique features and advantages addressing cell migration, differentiation and material tissue integration compared to the single polymers. THA-col biomaterial has shown its potential for cartilage tissue engineering and represents a potential injectable material for cell free cartilage treatment.
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Study aim: To study Gamma-enhancing neurofeedback learning process and evaluate its efficacy on visual feature binding and fluid intelligence Sample size: 18 healthy female students (mean age: 24.24 ± 1.94 years) Dataset: ----------- 1- Demographics: 18 subjects, Age, BMI, Weight, Height, Handedness, GPA 2- IQ measure: 18 subjects, Pretest and posttest sessions 3- Visual feature binding measure: 18 subjects, Pretest and posttest sessions, Response time and Error rate 4- 4 activity baseline EEG: 18 subjects, Pretest and posttest sessions, Tasks: Eyes open, Eyes closed, Auditory sensory attentiveness, Cognitive effort 5- Neurofeedback training EEG: 8 subjects, 8 training sessions, Eyes closed baseline EEG recorded before and after training in each session, EEG recorded during training in each session
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