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This data is raw data about "Phosphorylation of Hemocyanin at S293 Activates p38 MAPK Signaling to Induce Antimicrobial Peptides in Penaeus vannamei"

Use this Previously rendered ver.2 of the "understated-manuscript"; drafted privy to it's original. As a sort-of prequel; highlighting a truely masterful usage of regard for a "whole-within-a-xenophobic..." respite. Surpassed only by one thesis." - MARCELL - [Ref. C.S. Lewis ]

Fibrillarin; Leishmania infantum (strain JPCM5)

This dataset provides panel data on urban spatial structure and carbon emissions for 19 Chinese urban agglomerations from 2010 to 2021. The spatial structure of urban agglomerations is quantified through two key dimensions, polycentricity and compactness, and covers multiple indicators. The dataset enables researchers to analyze the influence of spatial structure evolution on carbon emissions at the scale of urban agglomerations, offering empirical support for studies on sustainable urban development and spatial planning.

This version adds updated coder-level and firm-level datasets incorporating the VIX variable (X₄) for each time period. The VIX (CBOE Volatility Index) represents market-wide uncertainty and is used in the regression models as both a main effect and a moderator in the Strategic Posture × Volatility interaction (H₁₂). New or updated files include: Coder_A_wi.xlsx, Coder_B_with.xlsx, Coder_C_with.xlsx, Coder_D_with.xlsx: Updated raw coder ratings files with VIX values added to support X₁ × X₄ analysis. Coders_ABC_SP_and_Avg_FINAL.xlsx: Composite scores including Strategic Posture (X₁) and integrated VIX (X₄) column per year. NVDA_INTC_with.xlsx: Final master panel dataset for regression, containing X₁, X₂, X₃, and new X₄ (VIX) for both firms. These additions support the full testing of all three hypotheses in the study, particularly H₁₂ regarding the moderating role of market volatility.

Impacto pedagógico de una herramienta de Realidad Aumentada (RA) en el desarrollo de habilidades espaciales para la representación isométrica en estudiantes de séptimo grado de un colegio público en Bogotá, Colombia.

Participants were recruited through a snowball sampling method, beginning with initial respondents who completed an online questionnaire and were subsequently asked to share the survey link with their personal networks. Data were collected from March 14 to April 22, 2024, using Google Forms. All participants gave their consent electronically before taking part in the study and agreed that their anonymous answers could be used for research. Some personal information like email addresses and last names was collected only for administrative reasons but was kept safe and not used in the analysis. This method helped to gather a diverse group of Ukrainian adults. All identifying information was removed or protected before data analysis to ensure privacy. The study was approved by the Ethics Committee of the Faculty of Psychology at V. N. Karazin Kharkiv National University on February 28, 2023 (meeting minutes No. 9). The current dataset represents a processed version of the original responses. The data were coded in accordance with the official scoring guidelines of the psychological scales used in the study. In this processed dataset, the variables include PA for positive affect, NA for negative affect, SWL for satisfaction with life, AffecSympt for affective symptoms of eco-anxiety, Rumination for rumination, BehSympt for behavioral symptoms of eco-anxiety, AnxPersImpact for anxiety about personal impact, and pro-environmental variables labeled as behavior.

It contains data sets related to a study on the level of knowledge about diabetes.

This dataset contains raw survey data collected from construction professionals in Nigeria to investigate the relationship between mental health and project performance. The dataset is a valuable resource for researchers and practitioners in construction management, public health, and development economics. It provides empirical evidence to support further analysis into the socio-economic impacts of mental health in a high-pressure, developing-country work environment. The data can be used for statistical analysis to understand the causal links and inform policy and management interventions.

This is replication data and programs for "Scoring Markets: Theory and Application in Sports Economics" article.