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This repository contains a list of excluded and included seroprevalence studies that we assessed for potential inclusion, along with a risk of bias assessment with respect to response rate of the studies.

This multi-sheet Excel file contains the initial working draft of the Nutritional Life Cycle Assessment Questionnaire for Primary Data Collection (nLCA QPDC), a comprehensive methodological instrument developed as part of an ongoing research project focused on the ‘Holistic Sustainability Profiling of Foods, Meals, and Diets’ in low- and middle-income country contexts. The QPDC’s primary objective is to move beyond conventional LCA boundaries by capturing inventory data for a full suite of supply chain parameters – including commonly neglected ones, such as specific causes of food loss, waste treatment / disposal methods, biodiversity practices, and consumer factors like plate waste and cooking energy – into a single, standardized primary data collection exercise. It is designed to gather context-specific (i.e., subnational), all-encompassing data for conducting full-scope nLCAs of pre-defined Commodity-Location-Production System combinations (i.e., Archetypes). The questionnaire provides a sequential, full-chain framework organized into 10 detailed modules (preceded by an introductory section with user instructions), ensuring all necessary flows are covered: (1) General Information & Archetype Definition; (2) Primary Production; (3) Post-Harvest Handling & Processing; (4) Packaging; (5) Distribution & Transport; (6) Retail; (7) Home Preparation & Consumption; (8) Waste Management; (9) Data Representativeness & Quality; and (10) Additional Information & Resources. The QPDC presents several key differentiating features which distinguish it from other LCA data collection tools: • Full supply-chain granularity and reference flow tracking: The QPDC systematically captures inputs and outputs from the production unit through the consumer plate and waste management stages. Notably, it includes a detailed breakdown of food loss and waste causes across the entire life cycle. • Holistic parameter compilation: The questionnaire incorporates inventory data for infrequently captured value chain parameters crucial for holistic impact assessments. Among others, these include: (i) context-specific biodiversity and conservation practices in primary production; (ii) detailed consumer factors, such as storage conditions, cooking energy, water use, plate waste, and eating habits / patterns; (iii) localized waste treatment methods and end-of-life routes for both food and packaging; and (iv) context-specific co-product economic value and broader socioeconomic characteristics. • Geographic granularity and data quality: The QPDC facilitates collecting locally relevant data by allowing differentiation based on (a) production system typologies and intensity levels (i.e., low, medium, or high), and (b) subnational agroecological zones. Furthermore, the questionnaire includes mandatory fields for data quality metrics covering temporal, geographical, and technological representativeness, enabling LCA practitioners to conduct uncertainty and sensitivity analyses as needed.

Data and code corresponding to the manuscript entitled "Light-Induced Selective Speed Alteration of Magnetically Rolled Semiconductor Particles".

This dataset is prepared for publishing in Data in Brief in order to contribute to the AI and Agriculture research field. The dataset comprises 1956 original images in total 8 classes.

# Resolving an Apparent Imbalance in Seawater Stable Strontium Isotopes and Implications for the History of the Marine Carbonate Factory This dataset contains stable strontium isotope measurements (δ88/86Sr) and associated geochemical parameters for modern marine carbonate samples. The experimental work was designed to better constrain the isotopic composition of the global carbonate strontium sink, which represents a critical output flux in the marine Sr cycle. To achieve this, we compiled and analyzed a large suite of modern carbonate sediments spanning diverse depositional environments, including both neritic and pelagic settings. ## File: Nadeau_et_al_Figure_Data.xlsx **Description:** This Excel workbook contains all 1) the Sr-isotope spike composition, 2) the geochemical measurements and metadata used in the study, including stable and radiogenic Sr isotope ratios, Ca isotope ratios, elemental ratios, mineralogical estimates, and sample information for modern neritic and pelagic carbonate sediments, and data presented in each figure.

In this doctoral thesis, the fog/cloud discharge problem is solved using game theory.

The data was used to perform an assessment of risk factors in the sustainable construction industry of India. The risk factors identified in the Indian context through a literature review and survey conducted using the Delphi method with green building professionals were utilized to perform a risk assessment that evaluates the severity of risks. The assessment was done by obtaining the likelihood and impact of the identified risk factors. The results were used to rank the risk factors by their level of importance. The findings are evaluated against risk factors identified in different contexts to assess their contextual relevance. Further, the green building rating in India and the regulatory aspects are correlated with the risks and inferences drawn out of the correlation to establish the requisites to move towards green buildings.The data are results conducted from the survey used to arrive at the severity of risks by using the Relative Importance Index method, with the help of the probability and impact of the risk factors ranked by the green building industry stakeholders.

This is the supplemental data referenced in the paper: "Access to Mentorship Among Medical Students Interested in Dermatology."

This dataset is old and includes in outdated information about the accompanying paper. Specifically, in regards to the response rate, version one says we were unable to find the response rate. However, after consulting with DIG leadership & using our survey metrics we were able to calculate our reach/response rate denominator.

Data and code to accompany "Bribery, Secrecy, and Communication: Theory and Evidence from Firms." Contains STATA do file <BriberySecrecyCommunicationCode.do>, EXCEL data file <BriberySecrecyCommunicationData.xlsx>, and data description <BriberySecrecyCommunicationDataDescription.pdf>.