Originpro 2021

Manufactured by IBM

Sourced in United States

OriginPro 2021 is a data analysis and graphing software designed for scientific and engineering applications. It provides tools for data manipulation, curve fitting, and visualization of experimental results and simulations.

Automatically generated - may contain errors

Lab products found in correlation

Office excel, by OriginLab (1 mentions) Excel 365, by IBM (1 mentions) Spss statistics 26, by IBM (1 mentions) Illustrator 2020, by Adobe (1 mentions) Spss statistics 25, by IBM (1 mentions) Spss 26, by IBM (1 mentions) Spss statistics version 24, by IBM (1 mentions)

9 protocols using originpro 2021

Statistical Analysis of Experimental Data

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All data were reported as means ± S.E.M. OriginPro 2021 and SPSS 22.0 softwares were separately used for plotting figures and data analysis. Statistical significance was assessed using the two-way ANOVA. In all cases, p < 0.05 was considered to be the threshold for statistical significance.

Chen Q.Y., Wan J., Wang M., Hong S, & Zhuo M. (2023). Sound-induced analgesia cannot always be observed in adult mice. Molecular Pain, 19, 17448069231197158.

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Multivariate Analysis of Experimental Data

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All data were first sorted by Excel software and then analyzed by SPSS 25.0 software using ANOVA and Duncan’s method for multiple comparisons between groups. The final results are expressed as “mean ± standard deviation”. Data with p < 0.05 indicate a significant difference. SPSS 25.0 was used for Pearson correlation analysis. OriginPro 2021 and SPSS 25.0 were used to draw radar charts, histograms, and correlation heat maps. NIST and IMS databases built in the VOCal software were used for qualitative analysis of substances; the Reporter plug-in was used to directly compare the spectral differences between samples; the Gallery Plot plug-in was used to compare fingerprints. SIMCA 14.1 was used to establish orthogonal partial least squares discriminant analysis model (OPLS-DA).

Liu J., Han L., Han W., Gui L., Yuan Z., Hou S., Wang Z., Yang B., Raza S.H., Alowais A.F., Alraddadi A.A, & Alanazi A.M. (2022). Effect of Different Heat Treatments on the Quality and Flavor Compounds of Black Tibetan Sheep Meat by HS-GC-IMS Coupled with Multivariate Analysis. Molecules, 28(1), 165.

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Evaluating Soil Carbon Sequestration Patterns

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The meta-analysis approach outlined by Hedges, Gurevitch & Curtis (1999) was used to evaluate the patterns and controlling variables of soil carbon sequestration based on the natural log-transformed response ratio (RR) using the METAWIN version 2.1 (Sinauer Associates, Inc., Sunderland, MA, USA). In addition, we calculated the relative influence technique to calculate the relative importance of predictor factors of soil C sequestration (independent variables). The formulas applied has been used in previous works (Ngaba et al., 2022 (link)). Statistical analyses and graphs were determined with OriginPro 2021 and SPSS 26.0 software (SPSS, Inc., Chicago, IL, USA). Correlations were considered significant at p < 0.01 and p < 0.05.

Ngaba M.J., Uwiragiye Y, & Zhou J. (2023). Patterns and controlling factors of soil carbon sequestration in nitrogen-limited and -rich forests in China—a meta-analysis. PeerJ, 11, e14694.

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Statistical Analysis of Research Data

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The statistical analysis of the collected data was performed using Microsoft Office Excel (2019), Originpro 2021 and SPSS 27.0 software. To distinguish the means at a significance level of P< 0.05, Duncan’s multiple range test was applied.

Cui X., Ding Y., Sun C., Li X., Yuan S., Guo F., Zeng X., Fan X, & Sun S. (2024). Improving the storage quality and suppressing off-flavor generation of winter jujube by precise micro-perforated MAP. Frontiers in Plant Science, 15, 1372638.

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Spatial Analysis of Soil Toxicity

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The statistical analysis and contamination evaluation of the content of potentially toxic elements in the surface soil of the study area was carried out in IBM SPSS Statistics 26, Excel 365, and Origin pro 2021 software. EPA PMF 5.0 software was used to analyze the source of potentially toxic elements in soil, and then ArcGIS 10.4 software was used to interpolate potentially toxic elements content in soil to obtain spatial distribution. Finally, Adobe illustrator 2020 was used to process the image.

Chen H., Wu W., Cao L., Zhou X., Guo R., Nie L, & Shang W. (2022). Source Analysis and Contamination Assessment of Potentially Toxic Element in Soil of Small Watershed in Mountainous Area of Southern Henan, China. International Journal of Environmental Research and Public Health, 19(20), 13324.

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Statistical Analysis of Experimental Data

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All data in this study were repeatedly measured three times, and data were analyzed statistically and significantly using IBM SPSS Statics analysis software and plotted using Origin Pro 2021.

Liu Y., Chen M., Li Y., Feng X., Chen Y, & Lin L. (2022). Analysis of Lipids in Green Coffee by Ultra-Performance Liquid Chromatography–Time-of-Flight Tandem Mass Spectrometry. Molecules, 27(16), 5271.

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Physiological Effects of Antibiotic Treatment on Jellyfish

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Results were graphed as mean ± SD, except for the feeding rate of ephyrae, which was calculated as mean ± SE. Statistical analyses were performed using IBM SPSS Statistics 25 and OriginPro 2021. One-way ANOVA and Fisher’s LSD test were used to evaluate the differences in physiological parameters and the number of nematocytes among the control, antibiotic-treated and recolonized treatments. The differences in the Chao1 index were tested using the Student’s t test.

Peng S., Ye L., Li Y., Wang F., Sun T., Wang L., Hao W., Zhao J, & Dong Z. (2023). Microbiota regulates life-cycle transition and nematocyte dynamics in jellyfish. iScience, 26(12), 108444.

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Statistical Analysis of Experimental Data

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The statistical summary of experimental data was completed in Excel 2013. The graphics were drawn using OriginPro 2021, and the correlation analysis was completed in IBM SPSS 26.

Liu Y., Cai D., Li X., Wu Q., Ding P., Shen L., Yang J., Hu G., Wu J, & Zhang L. (2023). Occurrence, fate, and risk assessment of antibiotics in typical pharmaceutical manufactories and receiving water bodies from different regions. PLOS ONE, 18(1), e0270945.

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Optimizing Mild Extraction of Fatty Acids

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All the experimental analyses were conducted in triplicates, and the results were expressed as mean ± SD (standard deviation). Using the software Design Expert version X, RSM was conducted while exploring the CCD and desirability function. Other statistical analyses were performed with SPSS software (IBM SPSS Statistics Version 24, IBM Inc., Chicago) and OriginPro 2021 software (version 9.8.0.200). One-way analyses of variance (ANOVA) were employed to determine the significance of differences followed by least significant difference (LSD) post hoc tests to examine the differences among groups. The standard for statistical significance was p < 0.05. In comparison, principal component analysis (PCA) revealed the main fatty acids and nutritional quality index concerning the three milder extraction methods employed. Then, the Pearson's correlation analysis was performed using R software.

Mgbechidinma C.L., Gang Z., Baguya E.B., Zhou H., Okon S.U., & Zhang C. (2022). Fatty acid composition and nutritional analysis of waste crude fish oil obtained by optimized milder extraction methods. Environmental Engineering Research, 28(2), 220034-0.

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