TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Explanation of condition nodes and decision nodes in the SCM, ordered by decreasing centrality. by Stella D. Juventia (19961247)

Calculation of peak force and impulse values from trial with overlap. by Leena Inkilä (20614460)

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Calculation of peak force and impulse values from force plate data. by Leena Inkilä (20614460)

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TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Linear regressions of consumer stable carbon and nitrogen isotope values and collection date. by Nathan D. McTigue (10706460)

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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". …”

S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital by Sonsawan Sangprasert (22772538)

“…S2 File - <p>Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital</p>…”

Linear regression analysis. by Young Kyu Lee (14076058)

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Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. Results are from linear model analysis adjusted for age, gender and additional covariates.... by Elie Mulhem (22537863)

“…Results are from linear model analysis adjusted for age, gender and additional covariates. …”

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Comparative analysis of δ¹³C and δ¹⁵N isotopes in camelid bone and fiber using Generalized Linear and Linear Mixed Effects Models. by Sarah J. Noe (19846136)

Linear regressions of pPOM and sPOM stable carbon and nitrogen isotope values versus collection date. by Nathan D. McTigue (10706460)

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Linear discriminant analysis (LDA) for effect size (LEfSe) analysis of endophytic bacterial communities associated with <i>Synsepalum dulcificum</i> among the three phenotypic grou... by Rabiath F. R. Adigoun (14189090)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1).... by Brent J. Bellinger (21156150)

“…Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1). …”

Results from linear regression analysis for δ¹³C or δ¹⁵N and collection date. by Nathan D. McTigue (10706460)

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Fig 4 - by Leena Inkilä (20614460)

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Craniocaudal impulses of fore- and hindlimbs at three bar heights during take-off. by Leena Inkilä (20614460)

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Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence. Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown. by Harry Saxton (19165441)

“…Results are presented for progressively expanding discrete measurement sets (from Set 1 to Set 3F). Only parameters with influence values greater than 0.01 are shown.…”