Contributors: Allysson Busato
... Articles about small hydropower plants
Contributors: Yonghua Wu
... The ground-level ozone, PM2.5 and lidar-ceilometer measured PBL-height.
Contributors: Alper Aksac
... N=482, k=8, D=2 3rd attribute is a class identifier (0-7), noises are labeled as -1.
Contributors: Evellyn Giselly de Oliveira Couto, Roberto Fritsche-Neto, Mayara Neves Cury, Deoclecio Domingos Garbuglio
... Phenotype-DH.txt This dataset comprised haploid, diploid and inhibited seeds obtained from the crossing of five sources of tropical germplasm in F1 and F2 generations with the tropicalized haploid inducer LI-ESALQ. Our main goals were to compare the effect of F1 and F2 generations on DH production in tropical germplasm, evaluating the R1-navajo expression in seeds, the working steps of the methodology, and the genetic variability of the DH lines obtained. Phenotypic data present five source germplasm, two generations, three blocks, three classes (haploid, diploid and inhibited), a total of seeds harvested in each ear and the correspondent class value; and frequency. Genotype-DH.txt This dataset comprised D0 lines obtained in doubled haploid methodology. The 173 DH lines and 5604 SNPs were used to evaluate the genetic variability, population structure and kinship of the DH lines obtained in each generation. The SNP markers were filtered for missing data = 5% and for minor allele frequency = 5%. All heterozygous loci that remained in the data were considered as missing values and were imputed based on the mean of SNP. The type of matrix output produced was "012", coded as 0 to AA, 1 to Aa and 2 to aa. The residual heterozygosity was considered as a missing value because of the presence of chimerism in D0 cells after artificial chromosome doubling during DH in maize. The procedures were carried out by the raw.data function of snpReady package of R software.
A computational tool for hydrosedimentological and statistical calculations: Datasets and Supplementary Materials
Contributors: Bruno Bernardo dos Santos, Frederico Mauad, Renato Miranda, Teodorico Alves Sobrinho, Paulo Tarso Oliveira
... **** Please view the README.txt file for detailed information about NH SEDIMENT AND STATISTIC. ***** Title: A computational tool for hydrosedimentological and statistical calculations Version: 1.0 Date: 10/07/2019 Contact information: Bruno B. Santos, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil, email@example.com Geographic location 1: Mogi-Guaçu reservoir, Mogi-Guaçu, SP, Brazil Dates of data collection: 01/2014 and 03/2014 Geographic location 2: Guariroba river basin, Campo Grande, MS, Brazil Dates of data collection: 2017, 2018 and 2019 This directory contains the following supplementary materials, datasets and software: SUPPLEMENTARY FIGURES AND TABLES • Figure S1. Abacus 1: Relation between unmeasured solid discharge per meter river width and average velocity (Left); Abacus 2: Relation between relative concentration from average velocity and average watercourse depth (Right). • Figure S2. Abacus 3: Obtaining correction factor as a function of efficiency ratio. • Table S1: Estimated values of A and B used in the computational tool to calculate relative concentration • Table S2: Main equations used for Kolmogorov-Smirnov normality test • Table S3: Main equations used for Wilcoxon test • Table S4: Data from Mogi-Guaçu reservoir used for suspended load calculation • Table S5: Data from Mogi-Guaçu reservoir used for total load calculation • Table S6: Data from Guariroba basin used for bed load calculation • Table S7: Measured and estimated suspended sediment concentration data from Mogi-Guaçu reservoir and their residues for Scenario 1 (C1) • Table S8: Measured and estimated suspended sediment concentration data from Mogi-Guaçu reservoir and their residues for Scenario 2 (C2) • Table S9: Water temperature data of Mogi-Guaçu Reservoir on 01/27/2014 • Table S10: Water temperature data of Mogi-Guaçu Reservoir on 01/29/2014 • Table S11: Water temperature data of Mogi-Guaçu Reservoir on 03/20/2014 • Table S12: Comparison between bed load data calculated with NHSS and WinTSR • Table S13: Comparison between total load data calculated with NHSS and WinTSR • Table S14: Comparison of main normality test results between NHSS and R • Table S15: Comparison of main F-Fisher test results between NHSS and R • Table S16: Comparison of main Student’s t-test results between NHSS and R • Table S17: Comparison of main Wilcoxon’s test results between NHSS and R DATASETS • Input Data_Guariroba basin data for bed load calculation.xlsx • Input Data_Mogi-Guaçu Data for total load calculation.xlsx • Input Data_Mogi-Guaçu Suspended Sediment concentration_Scenario 1_Turbidity.xlsx • Input Data_Mogi-Guaçu Suspended Sediment concentration_Scenario 2_LISST.xlsx • Input Data_Mogi-Guaçu Temperature Data.xlsx • Output_Bed load.xlsx • Output_F-test.xlsx • Output_Normality test.xlsx • Output_Total_Load.xlsx • Output_t-test.xlsx • Output_W-test.xlsx SOFTWARE • Software_NHSS-64bits.xlsm • Software_Code.pdf • Read Me.txt
Contributors: Laisuo Su
... The data here includes necessary information for the MWR-assisted surface engineering project we worked on.
Dataset of A New product development processes for IOT-enabled home use medical devices: a systematic review
Contributors: Apiwat Thongprasert, Arisara Jiamsanguanwong
... A systematic review study following the PRISMA-P statement in the field of IOT and home use medical device new product development process of research articles in four electronic databases: PubMed, Web of Science, ScienceDirect and IEEE Xplore, published during 2007 to 2018 in the English language.
Data for: Black carbon and PM2.5 monitoring campaign on the roadside and residential urban background sites in the City of Tehran
Contributors: Vahid Hosseini
... 1-hour raw data on whole study period
Data for: Design of sustainable and resilient eco-industrial parks: planning the flows integration network through multi-objective optimization
Contributors: Felipe Diaz-Alvarado
... GAMS codes to obtain results of the two case studies in Kalunborg and Ulsan eco-industrial parks.
Data for: Structural, photochemical and photocatalytic properties of Fe-doped ZrO2 under sunlight irradiation
Contributors: Messaoud Benamira, Ivalina Avramova, Caldes Maria Teresa, hicham lahmar, Mohamed Trari, Doufar Naima
... The structural and photophysical properties of the catalysts have been characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), Brunauer–Emmett–Teller (BET) and UV–Vis diffuse reflectance spectrometry