Propellant and fuel consumptions and variations. by Angela M. Huang (22097199)

Significant SNPs from a GWA with flowering time, for those within <i>A</i>. <i>tuberculatus</i> genes that have an orthologous match in <i>Arabidopsis thaliana</i>. by Julia M. Kreiner (6368987)

Amounts of variation explained by each principal component. by Ahmed Rachid El-Khattabi (6947453)

Significant differences in the use of interactional metadiscourse features across genres between FLOB and COCE. by Isabelle Chou (11605999)

Genes associated with enriched GO terms in biological processes. by Leila Kianmehr (12300839)

Schematic representation of the quality control (QC) process. by Axel Schmidt (652713)

List of the model parameters and their variation range. by Elise Verrier (11408666)

Accuracy and loss variation of the NIDS-FGPA model. by JiaMing Wang (334865)

Defects in RNA-mediated TDP-43 self-assembly decrease nuclear localization. by Patricia M. dos Passos (18078809)

Variational modal decomposition diagram of running speed sequence. by Hao Cao (2248066)

Seasonal variation in whole, gutted and processed masses and lengths in sea cucumbers collected by diving. by Catherine M. Couillard (2640508)

Spatial variation in whole, gutted and processed masses and lengths in sea cucumbers collected by dredging. by Catherine M. Couillard (2640508)

Hyperparameters for gaussian process regression. by Sherin Kularathne (18864348)

Subjects:

Variation in energy attributes of prey taxa. by G. Curtis Roegner (14808787)

Results of the distance-based significance tests of class attribution. by Felix Riede (7113146)

Computational Variation: An Underinvestigated Quantitative Variability Caused by Automated Data Processing in Untargeted Metabolomics by Huaxu Yu (5797019)

“…However, due to the incapability of software to accurately determine chromatographic peak heights/areas for features with poor chromatographic peak shape, automated data processing in untargeted metabolomics faces additional quantitative variation (i.e., computational variation) besides the well-recognized analytical and biological variations. …”

The interannual variation of runoff in Songnen Plain. by Zhong Lu (1917088)

Bivariate regressions between the percent cover of focal functional groups (significant functional groups in Table 2a with the 8 focal climate variables in the high zone. by Sarah A. Gravem (3270936)

Bivariate regressions between the percent cover of focal functional groups (significant functional groups in Table 2c with the 8 focal climate variables in the low zone. by Sarah A. Gravem (3270936)

Bivariate regressions between the percent cover of focal functional groups (significant functional groups in Table 2b with the 8 focal climate variables in the mid zone. by Sarah A. Gravem (3270936)