Source file. by Jiayu Liu (3951515)

A comparison of <i>E. coli</i> contamination at Traditional Lanna restaurants before and after the model’s implementation. by Vivat Keawdounglek (9710710)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…In contrast, reversing managed to natural ecosystems significantly increased NNM by 20% (9.7, 25.4%) and decreased NN by 89% (−125, −46%), indicating increasing N availability while decreasing potential N loss. …”

Data source information. by Zhengyang Wang (4349938)

Distribution of CSI-SF scale: Source: own calculations based on the 2023 MICLACAS survey. by Marcin Stonawski (22250641)

The hierarchical structure of coping Source: own graphics based on Tobin et al. (1989). by Marcin Stonawski (22250641)

The source code of LazyAct. by Hongjie Zhang (136127)

Data sources table. by Zhen Mao (3947357)

Description of predictors by category and source. by Carlos Cerrejón (10813636)

Data sources and definition of variables. by Ruwan Jayathilaka (9557787)

Results identifying most commonly used sources of information by council-based waste managers. by Esther Landells (19232897)

Regions of interest (ROIs) demarcated based on the results of time-frequency analysis for source space. by Anwesha Das (13449995)

Criteria sources. by Galmandakh Boldbaatar (19429297)

Metabolites that are significantly different are displayed by red or blue dots. by Zhonglong Zhao (1546420)

Subjects:

Effect of knockdown of <i>E75</i> mRNA in adult females on egg production. by Samiha Benrabaa (14817602)

Effect knockdown of <i>E74</i> mRNA in adult females on egg production. by Samiha Benrabaa (14817602)

Brief query descriptions by data source. by Stephanie R. Pitts (20460682)

“…We explored whether Puff Bar’s rise in marketplace prominence was detectable through advertising, retail sales, social media, and web traffic data sources. We retrospectively documented potential signals of interest in and uptake of Puff Bar in the United States using metrics based on advertising (Numerator and Comperemedia), retail sales (NielsenIQ), social media (Twitter, via Sprinklr), and web traffic (Similarweb) data from January 2019 to June 2022. …”

Effects of knockdown of <i>E75</i>, <i>E74</i> or <i>FTZ-F1</i> on transcript expression of ecdysone response genes in the ovary of adult females 4 days post blood meal. by Samiha Benrabaa (14817602)

Data sources within and external to module. by Oluwasanmi O. Adenaiye (13222425)

Deletion of <i>Trgal11</i> resulted in a significant decrease in the transcription of cellobiohydrolase and endoglucanase but not β-glucosidase genes. by Fanglin Zheng (4844064)