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This dataset comprises different databases related to the Twitter posts around coronavirus. The general dataset consists of 8,982,694 Twitter posts (tweets). All the data collected was searched using the keyword “Coronavirus”. The 8.98M were gathered from January 21 to February 12, 2020, i.e. 23 days.
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The data includes six updated chronological frames of sediment cores (ECMZ, MZ02, MD06-3040, EC2005, MD06-3042, and MZ01) using Clam (version 2.2) program via R software, heavy minerals in core ECMZ, and Holocene variations in mass accumulation rate (MAR) of mud on the East China Sea shelf in the western Pacific.
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This dataset represents a high resolution urban land cover classification map across the southern California Air Basin (SoCAB) with a spatial resolution of 60 cm in urban regions and 10 m in non-urban regions. This map was developed to support NASA JPL-based urban biospheric CO2 modeling in Los Angeles, CA. Land cover classification was derived from a novel fusion of Sentinel-2 (10-60 m x 10-60 m) and 2016 NAIP (60 cm x 60 cm) imagery and provides identification of impervious surface, non-photosynthetic vegetation, shrub, tree, grass, pools and lakes. Land Cover Classes in .tif file: 0: Impervious surface 1: Tree (mixed evergreen/deciduous) 2: Grass (assumed irrigated) 3: Shrub 4: Non-photosynthetic vegetation 5: Water (masked using MNDWI/NDWI) A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
Data Types:
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From a sample of 391 Vietnamese respondents aged from 15 to 47 years, the present study found that geographical regions and behaviors in using social media have a positive impact on the risk perception of COVID-19 epidemic in Vietnam.
Data Types:
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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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The updated data presented here are the result of a Course-based Undergraduate Research Experience (CURE) in a General Biology course at Davidson County Community College located in Thomasville, NC. The project focuses on testing the repellent effects of essential oils against the agricultural pest Callosobruchus maculatus (Cowpea Weevil). These data were collected between the summer of 2018 until the spring of 2020.
Data Types:
  • Tabular Data
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SuperWASP and ASAS-SN objects from the New Astronomy paper (submitted) "Investigation of the rotation-activity relation for a sample of SuperWASP and ASAS-SN field stars". This table contains the final catalogue of 1,277 X-ray visible unique objects displaying rotational modulation in their photometric variability with corresponding, real, Gaia parallaxes.
Data Types:
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Hypothesis: Does dogs exhibit different protein profile of seminal plasma and spermatozoa among breeds? What data shows: These data show the proteomic profile and its respectively gene ontology of seminal plasma and sperm cells of four purebred dogs (Golden Retriever n = 3, Bernese Mountain Dog n = 4, Great Dane n = 3, Maremmano-Abruzzese Sheepdog n = 3), with mean ages and standard deviation of 4,0 ± 1,0 years (Golden Retriever), 2,0 ± 1,0 years (Bernese Mountain Dog), 1,4 ± 0,5 years (Great Dane) and 4,0 ± 0,7 years (Maremmano-Abruzzese Sheepdog), kenneled at Sao Paulo State, Brazil. Besides How it was gathered: Entire second fraction and a portion of the third semen fraction were collected into a silicone funnel attached to a graduated plastic tube by manual stimulation of the penis in the presence of a teaser bitch, when possible. The semen was subjectively evaluated at the kennel, and only ejaculate within normal seminal parameters considered for dogs, according to Kustritz et al. (2007), were used in this study. Spermatozoa and seminal plasma were separated by centrifugation and prepared individually for proteomic analysis by ESI Q-Tof mass spectrometer. The gene ontology annotation of the proteins found within the samples was obtained using the UniprotKB website (www.uniprot.org), and considered the molecular function, biological process and cellular component categories. How the data can be interpreted: There are two folders dataset. The "Seminal plasma and sperm cell proteins" folder contain two folders, one with all seminal plasma proteins, and other folder with all sperm cell proteins, which have individual files named by breed for each dog (n=13). The “Gene ontology of seminal plasma and sperm cell proteins” contain three files: Table S1, Table S2, and Table S3. The file Table S1 contain all proteins found in seminal plasma of evaluated dogs and their respective gene ontology. The file Table S2 contain all proteins found in spermatozoa of all dogs evaluated and their respective gene ontology. The file Table S3 contain all common proteins found in seminal plasma and spermatozoa of evaluated dogs and their respective gene ontology. References: Kustritz R. The value of canine semen evaluation for practitioners. Theriogenology 2007;68(3):329-37.
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The fatigue life data enlisted in the attached Excel file corresponds to the predicted and experimental fatigue life of 718Plus reported in "Bandyopadhyay R, Prithivirajan V, Peralta AD, Sangid MD (2020). Microstructure sensitive critical plastic strain energy density criterion for fatigue life prediction across various loading regimes. Proc. R. Soc. A 20190766." For details, please check the research article at http://dx.doi.org/10.1098/rspa.2019.0766. Support for this research project was provided under Phase III 'Integrated Computational Materials Engineering (ICME) approaches to additive manufacturing, fatigue, and modeling/characterization' of the DARPA Open Manufacturing Program entitled 'Rapid Low Cost Additive Manufacturing' under contract no. HR0011-12-C-0037 to Honeywell International Inc. The authors thank the DARPA program managers, Dr. Jan Vandenbrande, and Mr. Mick Maher.
Data Types:
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SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a Z_2 symmetry. With the version 1.2 we announce several new features. First, previous versions were restricted to missing energy signatures and assumed prompt decays within each decay chain. SModelSv1.2 considers the lifetime of each Z_2-odd particle and appropriately takes into account missing energy, heavy stable charged particle and R-hadron signatures. Second, the current version allows for a combination of signal regions in efficiency map results whenever a covariance matrix is available from the experiment. This is an important step towards fully exploiting the constraining power of efficiency map results. Several other improvements increase the user-friendliness, such as the use of wildcards in the selection of experimental results, and a faster database which can be given as a URL. Finally, smodelsTools provides an interactive plots maker to conveniently visualize the results of a model scan.
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