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## Study design Male C57BL/6J mice (*Mus musculus*, 10–12 weeks, 25 ± 3 g; The Jackson Laboratory stock #000664) were assigned at random to sham or acute kidney injury, **n = 5 per group**, with the individual animal as the experimental unit and no animal excluded from any analysis. Injury was induced under isoflurane anesthesia by clamping both renal pedicles for **30 min**, core temperature held at 36.8–37.2 °C; sham animals underwent the identical procedure without occlusion. A single reperfusion interval of **24 h** was studied. The liver was perfused in situ with ice-cold phosphate-buffered saline before collection. Sample identifiers are `Sham_1`–`Sham_5` and `AKI_1`–`AKI_5` throughout, one per animal. ## Assays **Bulk hepatic RNA sequencing.** Total RNA extracted in TRIzol, column-purified; library preparation and sequencing performed commercially by GENEWIZ (Azenta Life Sciences). Differential expression by DESeq2 across 13,294 genes retained after filtering. **Targeted oxylipin lipidomics.** 10–20 mg liver spiked with an internal standard mixture, extracted in methanol, measured on a Sciex 6500+ triple-quadrupole mass spectrometer. 57 analytes: five parent polyunsaturated fatty acids and their cyclooxygenase, lipoxygenase and cytochrome P450 products, including specialized pro-resolving mediators. **Multi-omics integration.** Transcriptome and liver proteome integrated by sparse multi-block partial least squares discriminant analysis (DIABLO) in the mixOmics R package, two components, fixed random seed.

Dataset Description and Research Hypothesis This dataset examines the influence of agroecological zone and land-use system on heavy metal distribution and arbuscular mycorrhizal fungal (AMF) spore density in tropical agricultural soils. The study hypothesized that agroecological conditions and land-use history would influence Pb, Cd, and As concentrations and AMF abundance, and that heavy metal concentrations may be associated with AMF responses. Soil samples were collected from two agroecological zones in southwestern Nigeria (Rainforest and Derived Savannah) across three land-use systems: cocoa plantation, arable farmland, and undisturbed/control sites. The dataset contains measurements of soil Pb, Cd, and As concentrations and AMF spore density, together with relevant soil physicochemical properties. Pb concentration was significantly associated with agroecological zone (p = 0.0131), with higher concentrations in Rainforest soils. Cd was significantly associated with land-use system (p = 0.0223), with higher concentrations in cocoa soils than control soils. As showed a significant agroecological zone × land-use interaction (p = 0.00167), with the highest concentrations in Rainforest cocoa soils. AMF spore density also showed a significant zone × land-use interaction (p = 0.0139), with the greatest abundance in Rainforest cocoa soils. However, Pb, Cd, and As concentrations did not significantly predict AMF spore density (R² = 0.0103, p = 0.871), indicating that AMF abundance was not explained by individual metal concentrations alone. Overall, the data suggest that heavy metal distribution and AMF responses are shaped by the broader ecological and land-use context. The dataset can be used for analyses of heavy metal accumulation, AMF responses, soil quality, land-use effects, and agroecological variation in tropical agricultural systems.

This data was collected as part of the "HydroRise: Research on Impacts of Hydroclimatic Extremes in Water-Rich Regions" project, supported by the National Science Foundation (NSF) under Cooperative Agreement No. OIA-2418434, with Emad Habib serving as overall Principal Investigator of the broader EPSCoR award. For more information about this project, visit the HydroRise website: https://hydrorise.org.

This dataset supports a longitudinal study of implementation trajectories for recommendations issued by the U.S. Chemical Safety and Hazard Investigation Board (CSB). The study uses a fixed CSB recommendation snapshot current to the June 9, 2026 Board vote. The primary analytical sample contains 826 recommendations from 100 incident investigations and classifies recommendations into site-level action, corporate-level action, industry standards and guidance, and regulatory and enforcement action. Implementation completion is treated as the event of interest, other terminal closures as competing events, and recommendations still under follow-up as right-censored. The package contains processed analytical data, coding and mapping documentation, analysis code, reference outputs, and validation reports for Aalen-Johansen cumulative-incidence analysis, investigation-level cluster bootstrap inference, fixed-window generalized estimating equation models, sensitivity analyses, and exploratory subtype analyses. The complete official CSB source file is not redistributed; the source location, fixed snapshot date, source record count, and preserved-source checksum are documented in the source manifest.

Numerical data associated with the study “Four-Dimensional Perspectives on Crystal Cargoes Reveal Mafic Rejuvenation of Mantle Mushes and Antecryst Recycling Beneath Cumbre Vieja,” accepted for publication in Geochimica et Cosmochimica Acta. The dataset contains sample and analytical metadata, WDS calibration and standards, reduced clinopyroxene, olivine, and glass EPMA data, clinopyroxene–melt equilibrium tests and thermobarometric calculations, olivine diffusion-chronometry results, and antecryst-subtraction calculations. Text-based versions of the supplementary data tables are provided together with the original supplementary Excel workbook for convenience.

Supplementary methods and tables accompanying the manuscript “Bidirectional Association Between Celiac Disease and Vitiligo: Two Cohort Analyses from the Clalit Health Services Database.”

This repository contains replication code for the paper "Animal-Spirits Hypothesis of Consumer Sentiment: New Evidence from a Dynamic Factor Model of Consumption" by Aram Balagyozyan and Iordanis Petsas. The code estimates nine specifications of a Bayesian dynamic factor model using Gibbs sampling (via JAGS), where a latent common factor is extracted jointly from three consumption categories. The nine specifications differ in which macroeconomic controls are included alongside the factor (income growth, real interest rates, financial wealth, inflation, and unemployment), as well as in the ARMA lag order of the idiosyncratic errors. The most complete specification (Model 9) includes all five controls, an AR(3) structure for the latent factor, and an ARMA({3,24},1) structure for the idiosyncratic error terms. Data are sourced from the Federal Reserve Economic Data (FRED) database and cover January 1978 to January 2020.

The dataset used in this study comprised 200 handwritten English writing examination scripts collected from undergraduate non-native English-speaking students who completed an English writing proficiency test. Each writing sample was digitized and stored as a PDF file containing a scanned image of the student's original handwritten essay, thereby preserving the authenticity of the writing, including grammar, vocabulary, organization, and handwriting characteristics. To establish a reliable ground truth, all essays were independently assessed by two certified English language instructors using the International English Language Testing System (IELTS) Writing Band Descriptors. The evaluation followed the four official IELTS writing criteria: Task Achievement (Task Response), Coherence and Cohesion, Lexical Resource, and Grammatical Range and Accuracy, with each criterion assigned a score according to the standard IELTS band scale. The four criterion scores were then aggregated to calculate the overall IELTS band score for each essay. Subsequently, the overall band scores were mapped to the corresponding Common European Framework of Reference for Languages (CEFR) proficiency levels (A1–C2), providing standardized proficiency labels for comparative analysis. Consequently, the final dataset includes the original handwritten essays in PDF format, individual IELTS criterion scores, the overall IELTS band score, and the corresponding CEFR proficiency level. This well-annotated dataset provides a reliable benchmark for evaluating and comparing the writing assessment performance of human raters and artificial intelligence systems.

Maize is a crop of paramount importance for global food and feed production, yet its growth is frequently threatened by insect pests. Among these, the beet armyworm (Spodoptera exigua) is a major pest that inflicts severe damage during the seedling stage. Accurate recognition and grading of pest leaf damage are essential for effective precision control. To support the development of intelligent agriculture, we established a field-based image dataset targeting Spodoptera exigua damage on maize leaves. Images were collected under natural light and complex field backgrounds across three critical seedling stages (V4, V6, and V8).

Impact investing is increasingly important for generating financial and social value, yet determinants of pharmaceutical impact investment intention remain underexplored. This study extends the Theory of Planned Behaviour (TPB) by incorporating risk perception, internal motivation, health-impact perception, regulatory trust, CSR practices, and ESG/innovation capability. Data from 424 Indian individual and institutional investors were analyzed using PLS-SEM. Results show that attitude, subjective norms, internal motivation, risk perception, and health-impact perception positively influence investment intention, while PBC and regulatory trust are insignificant. CSR practices and ESG/innovation capability affect intention indirectly through attitude. The study extends TPB to pharmaceutical impact investing and offers implications for firms and policymakers.