Submergence degree data. by Yu Zhou (89766)

Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization by Qiuping Peng (20147290)

“…Soil cores were sampled to 153 cm depth at 25 locations representing 5 distinct soil series, a range in landscape positions, and a range in profile organic carbon contents. …”

A large degree of genetic structure exists in <i>Porites</i> spp. species complex. by Carly B. Scott (21736069)

Presidents' mental models over time (in-degree centrality) by Sami Russell Nour (22185145)

degree of faithfulness to the explanation. by Kyuhyung Kim (651731)

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)

Presidents’ generated mental models over time (out-degree centrality) by Sami Russell Nour (22185145)

The PRAME-AS knockout cells showed a decrease in migration, proliferation, stemness, and viability. by Zahra Hosseininia (22265113)

Degree assortativity and centralization across different datasets. by Sergey Shvydun (21353846)

Large Hyperfine Coupling Arising from Pseudo‑²S Ground States in a Series of Lutetium(II) Metallocene Complexes by Danh X. Ngo (6110606)

“…Moreover, an extremely large splitting of the eight-line spectra indicates the presence of strong hyperfine coupling, and simulations provide isotropic hyperfine coupling constants of <i>A</i>_iso = 4.38, 4.30, and 4.17 GHz across the series, where the value of <i>A</i>_iso is found to decrease as the Cp–Lu–Cp angle becomes more acute. …”

MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins by Martin J. Fossat (3714079)

“…To address this problem, we developed "multisite extent of deprotonation originating from context" (MEDOC) to determine the degree of protonation of a protein based on the local sequence context of each ionizable residue. …”

Percentages of the count of out-degrees in the higher-degree sets of Bhutan, Hungary, Iran, and Nepal data sets. by Badhan Das (7434362)

WASH conditions’ degree of dependence on household factors in Nigeria. by Jacob W. Mobolaji (22057405)

Subjects:

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The reduction in SSC may influence chlorophyll-a (Chl-a) concentrations in water, thereby further affecting the aquatic ecological environment. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

Variability of burning degree by anatomical regions. by Paula Becerra Fuello (22177478)

Degrees of contradiction correlate with the dominant value. by Muhammad Ahsan (3744803)

Comparison of the WRKY domain in PtWRKYs. (A) A multiple sequence alignment of PtWRKYs protein domains was performed using DNAMAN software, highlighting a conserved zinc finger str... by Yuzhao Ma (12840632)

<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". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

Intelligent interference system of degree of DNN control. by Hui Zhao (7395)