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- Data for: A Computational High Throughput Search of Symmetric Tilt Grain Boundaries in Cerium Oxide
- Dataset
- Analysis of Fair Share Price as a Basis for Investment Decision Making DATAData - Analysis of Fair Share Price as a Basis for Investment Decision Making
- Dataset
- Factors associated with low birth registration in Yaoundé II Subdivision, Cameroon: a cross-sectional studyThe registration of births plays a significant role in managing the health system and offers valuable information for enhancing the effectiveness of the health system in monitoring advancements towards health-related development objectives. In Cameroon, approximately 40% of children below the age of 5 are not officially registered at the civil registry office. The objective of this study was to identify the factors that influence the low registration of births in Yaoundé II Subdivision, Cameroon. Between April 22 and May 21, 2022; a descriptive study took place at the Yaoundé II City Council as an integral part of a citizen sensitization campaign led by the mayor. The campaign aimed to raise awareness about the census and issuance of birth certificates. Data were collected through in-person questionnaires administered to parents involved in the campaign.
- Dataset
- Accelerometer Data from the Chair Stand Test with Portuguese Older AdultsThe accelerometer data were acquired with two mobile devices during the Chair Stand Test with Portuguese older adults.
- Dataset
- R script for:"Protective role of parental mediation, social support and coping strategies on suicidality adolescent cyberbullying victims: A pilot studyThis R script was used to perform statistical analyses to explore if social support, instructive parental mediation and cyberbullying coping strategies, are associated with lower suicide risk for adolescents victims of cyberbullying. Data was collected with an online questionnaire given to French-speaking adolescents aged 14 to 18 living in Quebec, Canada.
- Dataset
- Supplemental Material Amivantamab JAADJAAD Supplemental Material
- Dataset
- Example AquaCrop output dataExample output files from AquaCrop simulation. For the output from AquaCrop standard GUI, there are 10 output files from one simulation (simulation1). For the output from AquaCrop standalone plug-in, there are a total of 18 output files originated from 6 simulations, carried out for 3 locations (location A, B, C) and under 2 climate models (model1, model2) each. Each simulation has 3 output files.
- Dataset
- Real-Time Analysis and Verification of Financial Statements Using AIThis project focuses on protecting investors from misinformation by leveraging AI for real-time verification of financial statements made by influencers on social media. It utilizes FAISS for fast similarity search, FinBERT for financial text embeddings, and web scraping of authentic financial news/statements sources (e.g., Reuters, Bloomberg) to validate statements of Fin Influences. The system detects misleading or unverified claims by comparing influencer posts with trustworthy financial resources helping investors make informed decisions. Key features: ✅ Real-time scraping of financial news ✅ AI-powered text embeddings for verification ✅ FAISS-based similarity search for efficiency ✅ Sentiment analysis for detecting bias Many more things , This open-source implementation aims to enhance financial literacy and investor protection by mitigating the impact of misleading financial statements on social media. 🚀
- Dataset
- Soybean Grain, Meal and Oil Exports from Argentina, Brazil and the United States of Americates of AmericaThese data refer to the exports of soybean grains, meal, and oil from the main producers: Argentina, Brazil, and the United States of America, to the main importers of soybean grains, meal, and oil: China, Taiwan, Egypt, Indonesia, Japan, Mexico, South Korea, Thailand, Turkey, the United Kingdom, the European Union, and the World. Note: To obtain data on exports from Argentina, Brazil, and the United States to the European Union, it was necessary to sum the exports to the 27 member states: Austria, Belgium, Bulgaria, Croatia, the Republic of Cyprus, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, and Sweden. The data were obtained from the FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS - FAO (2022). Food and Agriculture Data. https://www.fao.org/faostat/en/#data/TM The data can be used to analyze the flow of foreign trade from the main exporting countries to the main importing countries of the soybean production complex: grain, meal, and oil. Using this information, it is possible to conduct analyses such as the constant market share model to measure the effects: I - World trade growth effect: The growth of a product's global imports drives the growth of the country's exports of that product. Assuming that the country's market share in world trade remains the same, the variation in world imports triggers a variation in the country's exports. II - Export destination effect: A country's exports are not evenly distributed among importing markets due to trade agreements, logistical issues, and other reasons. The export destination effect assesses how variations in imports from destination markets impact the country's exports of one or more products. If the country maintains its market share in importing markets, the variation in the importing market should trigger variations in the country's exports. III - Competitiveness effect: The competitiveness effect captures the variation in a country's exports that is not attributed to the maintenance of its market share in the world market and in export destinations. If a country has increased its exports in greater quantities relative to the growth of the global market and import markets, the country will gain competitiveness compared to others. If the country has not kept up with the variation in global imports or in the destination markets, this indicates a loss of competitiveness.
- Dataset
- Wearable MEG recorded during human steppingThis dataset was collected using optically-pumped magnetoencephalography (OP-MEG) to record brain activity during a visually guided stepping task, alongside leg muscle activity (EMG) and foot kinematics. A structural MRI (in the same coordinate space as OPM sensors) is also provided for each participant. The dataset offers a valuable resource for methodological development in OPM data, within-subject analyses, and exploratory research on neural control during human movement. A detailed description of the dataset and its validation has been submitted for publication to Imaging Neuroscience as a data resource and will be referenced here once available. This comprehensive, multimodal dataset serves as a valuable resource for methodological development in OPM data, within-subject analyses, and exploratory studies on the neural control of human movement.
- Dataset
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