<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)

“…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”

Numerical values underlying all Figs. by Juliana Zimmermann (10507091)

“…We tested this hypothesis in two multimodal brain imaging experiments in healthy humans, in which we drove large changes in total CBV by neuronal burst-suppression under anesthesia or by transient global vasodilation in a hypercapnic challenge. …”

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”

ASE values and 95% bootstrap confidence intervals for all estimators under all scenarios. by Mahmut Sami Erdoğan (22097195)

Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients. by Michele Angelo Colombo (22446342)

“…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …”

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

The MAE value of the model under raw data. by Xiangjuan Liu (618000)

Three error values under raw data. by Xiangjuan Liu (618000)

Modelled policy outcomes, with posterior values for individual nodes ranked from 1-5 across the parties - Green, Reform UK, Liberal Democrat, Conservative, and Labour, where 1 is the lowest rank and 5 is the highest. The parties are ranked for each policy node in the network (e.g., income tax), based on the direction of change (“performance indicator”) stated in the first column (e.g., lowest, highest, most, improvement). For example, a value of 5 for Green tax means that green tax is lowest under Reform UK’s policies, while a value of 1 means that green tax is highest under the Green Party’s policies. Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour). by Richard Stafford (174326)

“…Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour).…”

Three error values under STL decomposition and factor analysis. by Xiangjuan Liu (618000)

Increasing fractions of mobilized and static taxa in the microbial streamwater community, with a corresponding decrease in the fraction of diluted microbial taxa, detail the shift... by Dawn R. URycki (9659702)

Temperature-dependent parameter values under stable temperatures conditions. by Zadoki Tabo (12415261)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

The comparison of the Spectral Exponent in hemispherotomy with a reference pediatric sample across wakefulness and NREM Sleep reveal values compatible with deep sleep in the isolat... by Michele Angelo Colombo (22446342)

MAE values under STL model and PCA principal component analysis model. by Xiangjuan Liu (618000)

Individual stability values for different gait events under various conditions. by Hyung Suk Yang (20442438)

Data of the article "The physiological cost of being hot: High thermal stress and disturbance decrease energy reserves in dragonflies in the wild" by Eduardo Ulises Castillo-Pérez (20869904)

“…Despite this, individuals from disturbed sites were larger but had lower energy reserves than those from preserved sites. …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Normalized RA-AF value distribution under varying pore inclination angles. by Na Zhao (112953)

Power law singularity index of (β₁) thawed sandstone under unknown β value conditions. by Liang Zhang (41392)