Scatterplot of MLR and quantitative TST values (in mm) among all 171 participants. by Eva Van Ginderdeuren (5590409)

Large network (300 excitatory and 75 inhibitory neurons) that learns to encode three input signals. by Wieland Brendel (8582346)

The effect of all treatments on cumulative ET. by Lubaina Soni (12184218)

The full set of parameter values for all parameters of the model that we test in the paper. by Michele Coscia (621455)

Average R values for 2018 and 2019 for all 37 Nigerian states. by Gina E. C. Charnley (11743650)

Relationship between stiffness values and Nakagami parameters for all subjects (thin black lines). by Andrea Monte (6439652)

p-values of the post-hoc Nemenyi tests carried out on all datasets. by Md Abid Hasan (20896641)

Data_ALL by Myriam Campos Aguilar (15856298)

This Excel workbook includes all the numerical values used to produce the graphs shown in this study. by Jana Koch (9936852)

Wingspan and body composition for all fencers. by Lindsay Bottoms (6276203)

All aggregate g-ratio p-values before and after adjustment. by Benjamin T. Newman (18397604)

All aggregate conduction velocity p-values before and after adjustment. by Benjamin T. Newman (18397604)

Locations of projected refugia for all five taxa with 2°C and 4.5°C warming. by Rhosanna L. M. Jenkins (11167230)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Value stream map of cellular workflow processing with machines working as a single work cell (all values in hours). by Amanda Normand (18575981)

DataSheet_1_Higher plasma aldosterone is associated with increased risk of cardiovascular events in hypertensive patients with suspected OSA: UROSAH data.docx by Lin Gan (114079)

“…Objective<p>To evaluate the association of plasma aldosterone concentration (PAC) with incident cardiovascular disease (CVD) and all-cause mortality in hypertensive patients with suspected obstructive sleep apnea (OSA) and calculate the optimal cut-off value of PAC for this specific population.…”

Data values for all figures within this study. by Hoda Jaffal (19226683)

The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

“…While machine learning (ML) has been increasingly used to predict RTAs, the lack of interpretability limits its applicability in policymaking. …”

<i>vFlip</i> expression largely protects from lethality induced by <i>cFlip</i> deletion. by Barbara Ruder (8379354)

19606 decreases the luminal pH of the ACV during infection. by Jesus S. Distel (11250759)