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This is the replication package for the study "Positive Feedback Trading, the T+1 Rule, and Asymmetric Return Reversals in China".

The repository contains the analysis data and code used in the paper “Forward-looking disclosure of customer metrics in IPO prospectuses: stock market reactions and long-term profitability.” The main dataset contains information for all 2547 IPO's used in the analysis. For proprietary data sources, only the first 10 rows of the corresponding data are included for illustrative purposes. Please refer the readme file inside the zip for detailed replication instructions.

This dataset contains hyperspectral reflectance measurements from red clover (Trifolium pratense L.) plants, used to detect parasitism by small broomrape (Orobanche minor Sm.). Spectral readings were collected post-emergence, after O. minor inflorescences had appeared aboveground, with an ASD FieldSpec 4 (Malvern Panalytical, Malvern, United Kingdom) spectroradiometer. The hypothesis was that parasitized and non-parasitized red clover plants differ in leaf reflectance, and that these differences can be used to discriminate between the two groups using hyperspectral sensing. Data collection had two parts. Greenhouse studies (April 2024 and August 2025) involved pots inoculated with or without O. minor seed, with spectral readings taken from leaves once O. minor inflorescences had emerged aboveground. Field studies (June 2024 and June 2025) took place in two red clover seed production fields near Rickreall, Oregon, with known O. minor infestation. Parasitized plants were identified by visible inflorescence, and the haustorial connection to the host was visually confirmed at excavation. Non-parasitized plants were excavated from the same fields as controls. Data were collected at approximately 1,400 growing degree day (GDD) (2024) and 1,600 GDD (2025), calculated from January 1 with a base temperature of 0°C. Each file contains raw reflectance values from 350 to 2500 nm, at 1 nm intervals. Each value is the average of 2–3 readings taken per leaf sample with the instrument. The dataset covers four groups: 2024 greenhouse (n = 12 per group), 2025 greenhouse (n = 23 per group), 2024 field (n = 12 per group), and 2025 field (n = 10 per group). Plants are identified by sample ID, with treatment and treatment code columns marking parasitized versus healthy status. This data was used to visualize spectral signatures, run PLS regression on both raw and first-derivative spectra, and calculate VIP scores to identify wavelengths associated with post-emergence O. minor parasitism. First-derivative models gave classification accuracies between 93.5% and 100% across the four groups, with the near-infrared region contributing the most discriminating wavelengths, followed by the red-edge, visible, and short-wave infrared regions. To reuse this data, apply first-derivative transformation before PLS modeling, since that step improved classification accuracy over raw reflectance in every group. Reflectance values below 400 nm and above 2400 nm carry more instrument noise and are typically excluded or treated with caution in analysis.

Databáze je strukturovaný, veřejně přístupný katalog ověřených dobrých praktik pro snižování dopadů meteorologických extrémů (vlny veder, přívalové srážky, sucho, silný vítr aj.) v urbanizovaném prostředí. Každý záznam jednotně popisuje opatření včetně popisu, postupu implementace, přínosů a – v souladu s principem risk trade-off – také rizik, omezení a podmínek zavedení, vždy s dohledatelnou referencí. Projekt MITEXTREM SS07020449 TAČR

Supplemental Table 1. Most common allergens reported in studies of patch testing in Black patients in North America over the last decade. Supplemental Table 2. Allergens without significant differences in proportions of positive patch test reactions across racial and ethnic groups.

FORECASTING OF FORE PAIRS

This dataset contains micrographs documenting the microstructural evolution and thermal stability of commercial AISI 1020 (low-carbon) and AISI 1045 (medium-carbon) steels subjected to artificial aging at 500 °C. The main objective of this experiment is to evaluate the morphological behavior and phase stability of the pearlitic and ferritic structures over prolonged artificial aging intervals, without reaching complete spheroidization. Dataset Content & Interpretation: The images illustrate the microstructural state at different artificial aging steps, capturing changes such as minor lamellar thickening, carbon diffusion, or ferrite grain growth. The pearlite colonies retain their overall lamellar nature across the timeline. High-resolution files are provided in TIFF format, suitable for digital image analysis.

Measured data for an experiment with low-cost solution of a position measurement, intended for a school spring-mass system. Manuscript of the prepared article is on the web http://users.fs.cvut.cz/hlavac/s/ , but in Czech language - use Google Translate.

Introdução: Em uma tendência crescente, diferentes recursos baseados em tecnologias digitais têm sido utilizados na assistência de enfermagem em oncologia pediátrica, destacando seu potencial inovador e positivo para pacientes, famílias e profissionais. Objetivo: Mapear, na literatura científica, recursos de tecnologia digital utilizados diretamente pelas crianças que tenham aplicabilidade na assistência de enfermagem oncológica pediátrica. Materiais e Métodos: Revisão de escopo desenvolvida em março de 2025, de acordo com as recomendações do Joanna Briggs Institute. Foram consultadas seis fontes de informação, incluindo bases bibliográficas e literatura cinza, sendo adotados softwares para a triagem inicial e seleção dos estudos. As variáveis extraídas conformaram um banco de dados utilizados em análise. Resultados: 20 estudos atenderam aos critérios de seleção, em sua maioria publicações realizadas a partir de 2020. A revisão abrangeu diferentes delineamentos, predominando o ambiente hospitalar como cenário. Variados equipamentos foram utilizados na implementação de aplicativos, vídeos e jogos, prevalecendo o uso da realidade virtual em procedimentos, ressaltando resultados positivos para o controle de sintomas, a ludicidade, a interação e a autoexpressão. Discussão: As aplicabilidades das tecnologias digitais englobaram finalidades de educação em saúde, comunicação e distração. Destaca-se o enfermeiro como profissional capaz de apoiar mudanças e reduzir barreiras de aceitabilidade. Conclusão: A temática das tecnologias para a assistência às crianças com câncer é uma área de pesquisa emergente; ressalta-se seu potencial para aplicabilidade bem como os impactos positivos relatados na assistência de enfermagem em oncologia pediátrica.

This repository contains the anonymized dataset used in the study “Predictive Basket Steering and Shopper Choice Sovereignty in AI-Enabled Retailing: A Self-Determination Theory Perspective.” The data were collected through a survey of online grocery shoppers in China and were used to test the proposed research model grounded in Self-Determination Theory. Variables include key constructs related to predictive basket steering, namely option pruning convenience, preference reflection accuracy, contextual intent transparency, shopper choice sovereignty, and retailer reliance comfort, along with demographic information. The dataset is provided to support transparency, replicability, and future research on AI-enabled retailing and consumer autonomy.