BMISES_Data_Part2. by Krystal Hunter (6820052)

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BMISES_Data_Part1. by Krystal Hunter (6820052)

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Cumulative distribution of EQ-5D-3L utilities decreasingly ordered before and after the onset of cutaneous leishmaniasis symptoms. by Janaína de Pina Carvalho (12152812)

Descriptive statistics (means) for full sample and by lockdown status. by Drew B. Cameron (10687420)

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

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

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Random forest plot showing the importance of predictors (top 10) for classifying LF progression based on the Mean Decrease in Gini index. by Emmanuel Kobla Atsu Amewu (13946765)

Box plots showing baseline prevalence and mean egg count at pre-MDA1 in districts that were responders compared to those that were persistent hotspots of decreasing praziquantel ef... by Takafira Mduluza (39754)

Mean scores and 95% CIs according to SARS-CoV-2 infection status and work-related determinants. by A. H. Ayesha Lavell (16734002)

Expatriates’ Willingness to Voice Decreases in High Status Countries by Mohammed Al-Ali (17058105)

Mental health status of respondents (n = 259). by Isha Aryal (22582068)

Map of Zimbabwe highlighting the districts detected as persistent hotspots of <i>S. haematobium</i> prevalence (PPHS), persistent hotspots of decreased praziquantel efficacy (EPHS)... by Takafira Mduluza (39754)

Estimates of average yearly citations of publications by scholars accused of scientific misconduct by retraction status and time. by Giulia Maimone (20833354)

Sample means, SDs, and selected correlations. by Erik Lykke Mortensen (7239170)

“…<div><p>Background</p><p>Previous studies have found paternal occupation, childhood intelligence, and educational attainment to be important predictors of socioeconomic status (SES) later in life. However, these factors only explain part of the variance in SES and thus, it is important to identify other predictors of SES and trajectories of influence from early childhood to adulthood.…”

S1 File - Assessment and analysis of agricultural non-point source pollution loads in Henan, China: 2001–2023 by Cangyu Li (10312677)

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Categories of the decoupling rates. by Cangyu Li (10312677)

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Units of non-point source agricultural pollution. by Cangyu Li (10312677)

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Expected marginal mean QoL scores for two age cohorts over 2016–2024 in Gauteng, South Africa. by Edmore Marinda (286299)

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CONSORT of participants with OPV status. by Zahid Hasan Khan (6281396)

Descriptive statistics (mean ± standard deviation; minimum, median and maximum value) of included variables. by Ivan Baptista (5278874)

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