Seasonality of burned areas (yellow) by countries and territories (2001–2020). by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 7. by Oswaldo Maillard (20660661)

Fire recurrences in the African continent, based on the MODIS FireCCI51 product (2001–2020). by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 3. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 5. by Oswaldo Maillard (20660661)

Supporting information file corresponding to Fig 8. by Oswaldo Maillard (20660661)

Seasonality of burned areas (yellow) in Africa (2001–2020) for DJF (December-February), MAM (March-May), JJA (June-August) and SON (September-November). by Oswaldo Maillard (20660661)

Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreas... by Eric Wang (30587)

Barbie’s ankle equinus measured at 50 degrees as equnius posture (a) and flat foot posture measured at 0 degrees (b), with a handheld goniometer. by Cylie Williams (3446018)

Subjects:

Motor performance across pre-, post-, and follow-up testing for simple and complex cognitive conditions. by Swati M. Surkar (8399427)

Subjects:

Median reaction time (RT) across pre-, post-, and follow-up testing for simple and complex conditions. by Swati M. Surkar (8399427)

Subjects:

fNIRS source-detector array setup. Red Indicates Source; Yellow Indicates Detector. by Swati M. Surkar (8399427)

Subjects:

Comparison of ASE values with 95% bootstrap confidence intervals (CIs) and paired <i>t</i>-test <i>p</i>-values for BP() and NB() under equal sample sizes (). by Mahmut Sami Erdoğan (22097195)

Different calculated values for indication of resistance for each combination of mutant and inhibitor against IRP. by J. Roadnight Sheehan (20141887)

Parameter values in the one-cortical-column model. by Farhad Razi (22076077)

Speed and accuracy variation with <i>k</i>_<i>P</i>. by Ankur Kamboj (19846178)

“…<p>Across trial distribution (averaged over 128 Monte Carlo runs) of speed and accuracy with means and 95% confidence bounds as <i>k</i>_<i>P</i> is varied around its fitted value 1.3098. …”

Data Sheet 1_A machine learning model for predicting the risk of diabetic nephropathy in individuals with type 2 diabetes mellitus.docx by Tingting Li (10553)

“…A random selection of 15% of these patients (n=1,508) was utilized for external validation. …”

Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

“…Adjusting for age and gender, the serum TAS (OR = 0.07, 95% CI 0.01–0.85, <i><i>p</i></i> = 0.037), H₂O₂ (OR = 1.21, 95% CI 1.09–1.35, <i><i>p</i></i> = 0.001) and MDA (OR = 1.17, 95% CI 1.00–1.34, <i><i>p</i></i> = 0.034) were determined to be independent risk/protective factors for PCG. …”