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  • Processed data used in the article "Physical and chemical properties of natural latex biomembranes associated with phototherapy designed for healing diabetic foot ulcers". We performed physical and chemical tests to evaluate the membranes: Tensile Strength Test, Thermogravimetric Analysis, Wettability Assay and Fourier-transform infrared spectroscopy.
    Data Types:
    • Tabular Data
    • Dataset
  • These data are derived from the project CONICYT/FONDECYT (grant number: 1171171) entitled "Seawater intrusions into the Valdivia-Tornagaleones estuarine system today and under future scenarios with increasing greenhouse-gas concentrations" The first sheet corresponds to records every 5 minutes of salinity and depth derived from a CTD installed at the bottom of the Río Valdivia (73,278°W, 39,8511°S) from November, 22, 2017 to July, 31, 2018. The CTD’s conductivity sensor unfortunately was configured for the range 13 a 63 mS cm-1, meaning that only salinities above about 9 PSU, depending on the river’s bottom temperature could be measured. The following sheets are hydrographic measurements, CTD casts, which were carried out along the central axes of the Valdivia river estuary between November 2017 and August 2018 just covering all four seasons of the year. CTD profiles were measured at 14 about equally spaced stations along the Valdivia river estuary during both, spring and neap tide periods of all seasons. The profiles were taken with a horizontally configured and mounted pumped Seabird 25 CTD, which allowed a slow sampling from close to the surface to close to the bottom. The raw data were processed following the manufactures guidelines and were averaged to a vertical resolution of 0.25 m. Only pressure and salinity (PSU) are available. The dates of the individual short cruises involved were 29/11/2017 (sheet 2017_11_29_spring_season_neap_t), 06/12/2017 (sheet 2017_12_06_spring_season_spring), 11/01/2018 (sheet 2018_01_11_summer_season_neap_t), 01/02/2018 (sheet 2018_02_01_summer_season_spring), 08/05/2018 (sheet 2018_05_08_fall_season_neap_tid), 17/05/2018 (sheet 2018_05_17_fall_season_spring_t), 19/08/2018 (sheet 2018_08_19_winter_season_neap_t), 12/08/2018 (sheet 2018_08_12_winter_season_spring)
    Data Types:
    • Tabular Data
    • Dataset
  • This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated Thrice a Week]
    Data Types:
    • Tabular Data
    • Dataset
  • Gel images for "Ribosome collisions trigger general stress responses to regulate cell fate"
    Data Types:
    • Image
    • Dataset
  • iVR is a progress monitoring tool in near real-time using Digital Twin. it integrate extended reality with 3D laser scanners to exchange data between construction jobsite and construction office. the gap between office and site is reduced by utilizing the power of visual programming in tranferring and visualizing data in high quality and fast rate. the Virtual reality, Augmented reality and BIM technologies are used to make the virtual reality as close as possible to construction job site for Quality Assurance.
    Data Types:
    • Other
    • Dataset
    • Text
    • File Set
  • Raw data used in the article "Physical and chemical properties of natural latex biomembranes associated with phototherapy designed for healing diabetic foot ulcers". We performed physical and chemical tests to evaluate the membranes: Tensile Strength Test, Thermogravimetric Analysis, Wettability Assay and Fourier-transform infrared spectroscopy.
    Data Types:
    • Other
    • Software/Code
    • Image
    • Tabular Data
    • Dataset
    • Text
  • For analyzing data in the VOS viewer, we used ISI, PubMed, and Scopus as a database. Data were obtained from the Web of Science (WOS), PubMed, and Scopus on March 02, 2020, and updated on March 10. to analyzed in VOS viewer software. The keywords were divided into three clusters: Generally, the lesser the distance between two key-terms, the greater the number of co-occurrences of the terms. The larger circle represents the more frequent keyword
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Text
  • Currently, due to the COVID-19 pandemic, serious games are an excellent learning resource with benefits for students to learn in a fun way. We present a set of data related to the literature review on accessibility in serious games. We apply PRISMA, the results revealed that not all serious games use the standards defined by WCAG 2.1 and 2.2 specific to a video game.
    Data Types:
    • Tabular Data
    • Dataset
  • Process simulations have been used to identify the most important properties of the absorbent for post-combustion CO2 recovery and provide valuable insight for further solvent development. The process model has been validated by pilot plant data. Afterward, the effects of various solvent physicochemical properties including liquid density, surface tension, thermal conductivity, viscosity, volatility, heat capacity, CO2 solubility, enthalpy of solution, solvent strength and absorption kinetics on the CO2 capture performance have been investigated separately. Then a viscous solvent with low volatility and slow absorption kinetics is assumed to service a 450 MW natural gas combined cycle power plant. Combined with an economic analysis, sensitivity studies of solvent properties are employed for this water-lean absorbent.
    Data Types:
    • Tabular Data
    • Dataset
  • We used a genome-scale functional genomics approach to determine the mechanisms of resistance to PD0332991. Transcriptional activation was performed using the synergistic activation mediator (SAM) CRISPR-dCas9 library. Work flow: a) T24 cells with stably transduced SAM components. b) Low MOI lentiviral transduction of amplified sgRNA library. c)antibiotic selection for transduced cells. e) divide cells into control(vehicle) and PD 7 days treatment. f) NGS of PCR amplicons. g) Comparison of sgRNA counts in control and treatment conditions.
    Data Types:
    • Dataset
    • File Set
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