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Provided are the NBR data created from Google Earth Engine and the python scripts to run the analysis/

This dataset contains the empirical data, simulation results, and code accompanying the manuscript "Efficient Recursive Estimation for Right-Censored Data with Iterate Averaging". It includes: - Real dataset: kidney transplant survival data (n=863, censoring rate 83.8%) used in Section 5.6. - Monte Carlo results: MSE vs gain (stable regime), instability boundary (c>=7.5), transient regime, two-parameter Weibull experiment, methods comparison (MLE, EM, unaveraged SA, Kiefer-Wolfowitz), and sensitivity analyses (warm-up offset, projection radius). - All result files are provided as CSV or JSON, with dictionaries explaining each variable. - Python code to reproduce every table and figure (Tables 2–3, Figures 6–7, 9, and the real-data streaming application). All experiments use fixed random seed 2024 for full reproducibility. The real dataset is a publicly available benchmark from Klein & Moeschberger (2003), redistributed here for reproducibility. The code and derived results are released under CC BY 4.0. For detailed instructions, see README.md and the codebook files (data_dictionary.csv, results_dictionary.csv).

This dataset contains the original western blot images for HIF1α, HIF2α, and β-actin associated with Figure 4B of the manuscript “VHL-HIF axis orchestrates iNKT cell differentiation and function through integrating metabolic and signaling pathways”. A combined README PDF is included and provides the raw western blot image index and description, including file names, target proteins, sample/lane identities, exposure times, expected molecular weights, corresponding manuscript panels, and displayed lanes. The raw western blot images are provided separately from the annotation information. The README PDF serves as the mapping file between the raw images and the manuscript figure panels. The manuscript panels were cropped from the corresponding raw images for display purposes. No selective adjustment of individual bands or lanes was applied.

This dataset is a globally recognized, real-world customer churn benchmark originally provided by IBM Sample Data Sets to support predictive modeling, retention analytics, and customer relationship management (CRM) research. It captures an enterprise-level cross-sectional snapshot of 7,043 telecommunications subscribers in California. Each record represents an individual customer, detailing their demographic profile, account configurations, financial commitments, and active service tier subscriptions. Within empirical research pipelines, this dataset serves as an ideal baseline for evaluating cross-domain model generalizability, testing out-of-domain transportability, and benchmarking static feature-space classifiers against advanced sequence-based models. Data Schema & Feature Definitions The raw data matrix consists of 21 columns (features) categorized into four core operational dimensions: Target Variable: Churn (Binary/Nominal: Yes/No), indicating whether the customer discontinued their service subscription within the last month. Account & Financial Metrics: customerID (Unique identifier), tenure (Total months stayed with the company), Contract (Type: Month-to-month, One year, Two year), PaperlessBilling (Yes/No), PaymentMethod (Electronic check, Mailed check, Bank transfer, Credit card), MonthlyCharges (Continuous), and TotalCharges (Cumulative financial expenditure). Core & Ancillary Service Subscriptions: Tracks structural line and infrastructure add-ons: PhoneService (Yes/No), MultipleLines (Yes/No/No phone service), InternetService (DSL, Fiber optic, No), and six specific tech add-ons: OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, and StreamingMovies (all structured as Yes/No/No internet service). Demographic Attributes: Basic subscriber profiles including gender (Male/Female), SeniorCitizen (Binary: 1 = Yes, 0 = No), Partner (Yes/No), and Dependents (Yes/No). Research Context & Utility This dataset is highly valuable for validation frameworks evaluating distribution shifts and model transportability. While it represents a cross-sectional structure where temporal behaviors are aggregated into static indicators (such as overall tenure and total financial charges), it provides pristine joint statistical dependencies mapping service configurations directly to attrition intent. Researchers leveraging complex temporal sequential models can aggregate their sequential outputs to a static, feature-collapsed vector space to evaluate whether the latently discovered behaviors retain predictive structural equivalence when deployed against this standard IBM enterprise baseline.

JKR-Research Data

Precise regulation of gene expression is essential for all living systems. Genes encoded on mobile genetic elements such as conjugative plasmids are also highly regulated to ensure stable inheritance, successful horizontal transfer, and adaptation to diverse bacterial hosts. The multi-drug resistance plasmid RK2 encodes an intricate regulatory network centred on the ParB-CTPase family protein KorB, which functions in both plasmid segregation and global gene regulation. We recently showed that KorB acts as a CTP-dependent DNA-sliding clamp that can be converted into a transcriptional repressor through direct interaction with the DNA-binding protein KorA. This clamp sliding-and-locking mechanism by KorAB enables highly effective transcriptional repression. Here, we investigate whether a third transcriptional regulator on the RK2 plasmid, TrbA, operates through a similar mechanism. Using a combination of structural prediction, biochemistry and in vivo transcriptional assays, we provide evidence that TrbA also directly interacts with KorB and functions as a clamp-locking factor. This KorB-TrbA interaction is mediated by a conserved aromatic interface that enables strong cooperative transcriptional repression. Disruption of this interface abolishes synergy, indicating that direct protein-protein interaction underpins KorB-TrbA cooperativity. Finally, bioinformatic analysis of a large plasmid database reveal that the tripartite KorB-KorA-TrbA system is present on numerous plasmids. Together, our findings establish TrbA as a bona fide KorB co-repressor and demonstrate how a single sliding clamp protein can integrate multiple partners to evolve a complex transcriptional regulatory network.

We investigated the possible interaction between weather cues, migratory behaviour, and corticosterone levels by testing the effect of experimental changes in temperature and barometric pressure on White-throated Sparrows’, Zonotrichia albicollis, nocturnal migratory and diurnal behaviour, and corticosterone levels during a spring migration. We hypothesized that the sparrows would alter migratory restlessness and corticosterone levels in response to simulated weather cues. Using a hypobaric climatic wind tunnel, we exposed sparrows to simulated low-pressure warm fronts or high-pressure cold fronts. We recorded behaviour during the weather manipulation and following lights out, and collected fecal samples the next morning. The recordings were scored using BORIS, with diurnal activity including movement, drinking, and eating behaviours. The nocturnal activity included migratory restlessness behaviour. Corticosterone levels were measured through an ELISA kit hormone assay. The data were analyzed using RStudio software; we ran linear mixed models to compare behaviours and corticosterone levels across the different treatment groups. We also ran a repeated-measures correlation to see the relationship between migratory restlessness and corticosterone regardless of treatment group. During the weather manipulations, sparrows showed reduced movement in the experimental conditions as lights out was approaching, and they ate more in the cold front treatment. Following lights off, sparrows showed an increase in migratory restlessness in both experimental conditions compared to no change in weather cues, with the most restlessness occurring 1.5 hours after lights went out. Fecal corticosterone levels were highest following the cold front treatment. Furthermore, the degree of migratory restlessness per night and corticosterone levels were positively correlated. These experimental results demonstrate that White-throated Sparrows adjust their migratory behaviour and experience endocrine regulation in response to changes in temperature and barometric pressure.

This dataset contains the anonymized survey data used in the manuscript entitled “.” The study examines how perceived competence, perceived anthropomorphism, and perceived usefulness influence intention to use intelligent personal assistants among Digital Natives and Digital Immigrants. The dataset includes cleaned survey responses from 585 valid participants. Respondents were classified into two generational cohorts based on birth year: Digital Natives and Digital Immigrants. The variables include demographic information, intelligent personal assistant awareness and usage-related items, and scale items measuring perceived competence, perceived anthropomorphism, perceived usefulness, and intention to use. The data were collected through an online questionnaire and analyzed using multi-group structural equation modeling and bootstrapped indirect-effect tests. No personally identifiable information is included in the dataset. The dataset is provided to support transparency, reproducibility, and further research on human–AI interaction and intelligent personal assistant acceptance.

Supplementary tables for keratoconus and atopic triad study

This dataset contains the characteristics of the studies included in the systematic review of etiology and risk that supported the conceptual validation of the Nursing Diagnosis Risk for Occupational Illness among nursing professionals. The dataset includes information on study objectives, country, language, study design, disciplinary area, sample characteristics, and level of evidence for each included study.