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  • 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 After Thrice a Week]
    Data Types:
    • Tabular Data
    • Dataset
  • Objective to investigate the role of social and laboral stress in the functionality and adaptability of adults screened as ADH(+) by the Adult ADHD Self report Scale in different professional settings. Design. We conducted an online survey with convenience sampling about economic and academic performances (dysfunctionality) and self-perception of health problems and work-related subjective suffering (maladaptation), following a screening for ADHD using Adult Self Report Scale (ASRS). The subjects were naïve about the aim of this assessment. Among analyses, we realized a random stratified subsampling to mitigate the bias by convenience sampling. Main Findings. There were 2173 participants, of which 28.06% were ADH(+). Even regarding only subjects with extreme ASRS scores (2.5), ADH(+) and (-) groups did not shown difference in functionality. We grouped subjects by professional career. The highest ADH(+) prevalence was found in publicity, where almost no difference in subjective suffering between the groups was observed. Conclusions. High ADH(+) prevalence can be due convenience recruitment. Our results indicate that ADH(+) people can show equivalent functionality and adaptability than ADH(-) ones when they live in their preferred labor/social settings, arguing that dysfunctionality and mental suffering in adult ADHD could be secondary to social stress.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • The data depicts the effect and efficacy of different treatments on pod borer and pod sucking bugs of cow pea. Spinosad was the most effective among all the treatments.
    Data Types:
    • Tabular Data
    • Dataset
  • Background: Aging and retirement are a passaging to a new course of life for veterans. Population aging has made significant changes in the composition of families and it affects the health of the family members. The role of army grandparents in relationships with their adult children is important in providing for their living needs and the need for research into grandparent-adult children interactions during retirement. There was no Iranian version of an instrument to measure this interaction. Therefore, the study was aimed to evaluate the psychometric properties of the Persian version of the Perceived Parenting Roles Inventory (PPRI-2019). Methods. The process of translating was conducted based on WHO’s guidance of instruments translation and adaptation. A total of 251 grandparents were randomly selected from Iranian Veterans Association. The PPRI and demographic questionnaire were used to gather data at the end of 2019. The scale structure was evaluated by using confirmatory factor analysis (CFA). Internal consistency was assessed by Cronbach’s alpha and the optimal cut-off points were obtained by calculating the area under the curve (ROC). Data were analyzed using IBM-SPSS version 26 and AMOS version 24 Results: The construct validity of PPRI based on CFA showed that the two subscales explained a total of 73.017 % of the variance. The PPRI scale demonstrated excellent reliability and the Cronbach’s alpha obtained 0.792 for the entire scale (p< 0.000). The optimal cut-off point of PPRI was 19.50, with a sensitivity of 100%, a 1-specificity of 0.127. Conclusions: Based on the results, the Persian version of PPRI is a valid and reliable tool that can be utilized by other researchers to measure perceived parenting roles. But further investigations are suggested.
    Data Types:
    • Software/Code
    • Dataset
  • Icequakes, micro-seismicity caused by glacier deformation and motion, provide important information to study glacier dynamics and its responses to environmental changes at various temporal and spatial scales. In this study, we apply a multi-dimensional autoregressive maximum-likelihood algorithm to obtain 12 icequake templates on the Urumqi Glacier No. 1, China, and detect 65,363 icequakes through template matching. Centroid location of the 12 templates indicate that most icequakes are caused by surface crevasses inside the glacier, which are characterized by dominant surface waves. The icequakes show seasonal variation with more events in summer because of faster ice flow due to high temperature and precipitation. In winter, however, the icequakes, on par with those in summer, suggest considerable glacier growth in cold weather. Because of higher ice flow velocity due to low tide, the number of icequakes has two daily peaks which seems to negatively correlate with semi-diurnal solid tide.
    Data Types:
    • Other
    • Dataset
    • File Set
  • Esta es la data de las tesis sustentadas en la FMVZ-UNAMBA
    Data Types:
    • Tabular Data
    • Dataset
  • Research data
    Data Types:
    • Software/Code
    • Dataset
  • Patients COVID positive from LUGO Hospital and symptoms
    Data Types:
    • Tabular Data
    • Dataset
  • This video dataset comprises (44) recordings of the human gait with (396) edited videos, there is also available a dataset of geometric features with (1431) files acquired from the video dataset that can be used for identifying people by human gait or for analyzing gait on various purposes. Each directory has the following structure: One directory with original videos of 44 people walking. Some parameters are, Video format AVI, stable background, resolution of 1280x700 p. Each video recording registers a person walking from left to right and back three times. One directory (Track A) with 44 edited videos with the first walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the first walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the first walking pass from right to left. This directory comprises 132 videos in total. One directory (Track B) with 44 edited videos with the second walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the second walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the second walking pass from right to left. This directory comprises 132 videos in total. One directory (Track C) with 44 edited videos with the third walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the third walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the third walking pass from right to left. This directory comprises 132 videos in total. One directory V-Geometric features with .dat files acquired from the video dataset with geometric features from the rectangle drawn over the silhouettes during a time. The geometric features were acquired with image processing techniques and are comprised of width, height, and area over time [1,2] nnW subdirectory: 477 .dat files with registered information about the behavior of the rectangle width during the gait record. nnH subdirectory: 477 .dat files with registered information about the behavior of the rectangle height during the gait record. nnA subdirectory: 477 .dat files with registered information about the behavior of the rectangle area during the gait record. References: [1] Senigagliesi, L.; Ciattaglia, G.; De Santis, A.; Gambi, E. People Walking Classification Using Automotive Radar. Electronics 2020, doi:10.3390/electronics9040588 [2] Kececi, Aybuke, Armağan Yildirak, Kaan Ozyazici, Gulsen Ayluctarhan, Onur Agbulut, and Ibrahim Zincir. 2020. Implementation of Machine Learning Algorithms for Gait Recognition. doi:10.1016/j.jestch.2020.01.005 [3] Figueiredo, Joana, Cristina P. Santos, and Juan C. Moreno. 2018. Automatic Recognition of Gait Patterns in Human Motor Disorders using Machine Learning: A Review. Vol. 53. doi: 10.1016/j.medengphy.2017.12.006
    Data Types:
    • Dataset
    • File Set
  • The anticorrosive performance of alumina/epoxy nanocomposite was examined by EIS & LP tests. Using flat cell assemble. The working volume was 350 mL. SCE used as RE. Graphite plate, with dimension 25 x 25 x 5 mm, and 2.6 cm2 exposed area, used as CE. Steel coated by epoxy-resin and alumina/epoxy nanocomposite, with dimension 25 x 25 x (12.6 mm, + the coating thickness), and 2.6 cm2 exposed area, as WE. The electrolyte used was 3% NaCl used with DI water. The potentiostat used is VMP3. OCP was recorded for 24, 48, 72, 96, and 120 h, before and during each test. After OCP completion of each step, EIS & LP were measured. For EIS, the frequency sweep was from 100 KHz to 100 mHz, with 20 mV AC amplitude, and for LP, the voltage ranges from -250 mV to 250 mV, with 1 mV/sec scan rate. The test has been carried out on pure epoxy-resin, 0.5 wt. %, & 1 wt. % alumina/epoxy nanocomposite. Metal sample, without coating, was tested by LP, after 6 h OCP. The EIS data that are being collected were analyzed using Nyquist plot (with an equivalent circuit model - as found in the manuscript). While LP data were analyzed using tafel slope.
    Data Types:
    • Other
    • Tabular Data
    • Dataset
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