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This dataset contains the computational data supporting the density functional theory investigation of ibuprofen adsorption on silver-encapsulated C₇₉ fullerene nanocages doped with arsenic, boron, silicon, and tellurium. The dataset includes optimized molecular structures, calculated electronic properties, adsorption energies, and supporting computational analyses used to evaluate the sensing performance of the investigated nanocages.

Calcium release in host cells is essential for viral infection and survival, and mutations disrupting calcium homeostasis are associated with chronic viral infections or autoimmune diseases in patients, yet the biological significance of Ca2+ signaling on STING activation remains unclear. Here we show that cytosolic Ca2+ is sensed by host cells as an immediate-early danger signal. Viral infection-activated Rho GTPases and phospholipase C-β induce ITPR-mediated, while STING translocation induces TRPV2-mediated ER Ca2+ release, both leading to store-operated Ca2+ entry through ORAI channels. Ca2+ influx activates calmodulin (CaM)-dependent protein kinases CaMKK and CaMK1D. Activated CaMK1D phosphorylates STING allowing for TBK1 trans-autophosphorylation. Inhibiting Ca2+ signaling or mutating CaMK1D-phosphorylating STING sites impairs STING activation. Ca2+ signaling is also required for STING-mediated autophagy and lysosome biogenesis, inhibited by CaMKK or CaMK inhibitors, or by deleting CaMKK1/2 or CaMK1D. These results support a two-signal mode for STING activation in which the Ca2+-CaM-CaMKK-CaMK cascade is indispensable.

Aquaculture is a rapidly growing but underrecognized global nitrous oxide (N₂O) source. As the world's largest producer of aquaculture, China’s mitigation strategies are pivotal for global climate goals and sustainable food systems. This dataset describes the long-term (1980-2022) N2O emissions from Chinese aquaculture system, which is evaluated by cradle-to-grave Life Cycle Assessment (LCA), integrating species-specific emission factors and provincial level data. This dataset includes provincial production of aquacultural species in China, emission factors used for LCA, N2O emissions from raw material phase (S1), aquaculture phase (S2), storage and distribution phase (S3), usage phase (S4), waste and wastewater phase (S5), as well as N2O mitigation potential under different mitigation scenarios.

WLAN-ObsNet is an empirical dataset of indoor 802.11ac RSS and TCP throughput captured inside a multi-room academic building to support wireless network analysis and radio propagation modeling. The standardized dataset includes precise 2D spatial coordinates, Euclidean distances, structural obstruction counts, average RSS, and network throughput across multiple access-point locations.

This dataset contains the research data supporting the study on the spatial variability of trace element concentrations in soils within the historical uranium mining and processing area of Kowary, southwestern Poland. The dataset includes sampling-site coordinates and land-use information, particle-size distribution, soil pH measured in H₂O and KCl, organic matter content, concentrations of As, Pb, Cu, Zn, Cd, Mn, and Fe, radiometric measurements, and environmental variables used in the statistical analyses. The data cover 45 soil samples collected from 15 soil profiles at depths of 10, 30, and 50 cm. The dataset also includes distances from sampling locations to the nearest post-mining waste heap and to the Jedlica River channel. For statistical analyses, Cd concentrations below the limit of quantification (<0.1 mg kg⁻¹) were replaced with 0.05 mg kg⁻¹. Radiometric data comprise eight readings obtained at equal time intervals for each sample.

Associated manuscript "When Linear Models Detect Nothing: Threshold Structure in Booking Behaviour Across Survey and Observed-Behaviour Data" Omar Millan Delgado, Faculty of Engineering, Universidad de Investigacion y Desarrollo (UDI), Bucaramanga, Colombia. omillan1@udi.edu.co Licence CC BY 4.0 Contact omillan1@udi.edu.co Everything needed to reproduce Tables 1-7 and Figures 1-4 of the manuscript from raw inputs. No step depends on proprietary software. Total runtime is roughly 90 minutes on a standard laptop, dominated by the Monte Carlo study. constructs_final.csv Survey construct matrix, N = 640 anfis.py Takagi-Sugeno ANFIS implementation benchmark_cse_tam.py Learner benchmark, nested cross-validation montecarlo.py Simulation study external.py External validation on observed bookings README.txt This file 2. DATA FILE -------------------------------------------------------------------------------- constructs_final.csv 640 rows, 9 columns, no missing values. Columns: SUSC, SOCIAL, INF, EWOM, INT, SAT, ATEN, WEBUSE, PURCHASE These are regression factor scores from a varimax-rotated solution, rescaled to the unit interval. The rotation is orthogonal, so the columns are mutually uncorrelated by construction: the largest absolute off-diagonal correlation is 0.07 and the mean is 0.007. This is a deliberate design feature and not an artefact; Section 3.2 of the manuscript explains why. Construct sources SUSC susceptibility to interpersonal influence Bearden et al. (1989) WEBUSE web use Davis (1989) EWOM electronic word-of-mouth Hennig-Thurau et al. (2004) SAT satisfaction Oliver (1980) INF information quality DeLone & McLean (2003) INT interest Hoffman & Novak (1996) ATEN attention --- SOCIAL social factors Venkatesh et al. (2003) PURCHASE purchase intention Ajzen (1991) Collection. Structured face-to-face interviews with 640 tourists in San Gil and Barichara, Department of Santander, Colombia, across high and low season. Response rate 78% of 820 contacted. Inclusion required a visit within the previous six months, at least one online accommodation booking in the previous year, and age 18 or above. Ethics. Project 2025-S-02, approved by the Research Committee, the Directorate of Research and the Rectory of UDI prior to collection. Informed consent obtained from all participants. Handling complied with Colombian Statutory Law 1581 of 2012 and Decree 1377 of 2013. The file contains no direct or indirect identifiers.

This dataset provides a musical scale featuring various notes in both conventional notation and Braille. The material includes files containing the standard score (print notation), print-ready Braille notation files, and editable source files for the MusiBraille music notation software. This resource was developed within the context of research into assistive technology and inclusive music education. The dataset serves as an open educational resource and a technical product designed to support the teaching, learning, and accessible instrumental practice of visually impaired musicians.

This dataset provides the musical score transcription for Exercise No. 37 from the Paschoal Bona method, in both standard notation and Braille. The material includes files containing the standard score (print notation), print-ready Braille notation files, and editable source files for the MusiBraille music notation software. This resource was developed within the context of research into assistive technology and inclusive music education. The dataset serves as an open educational resource and a technical product designed to support the teaching, learning, and accessible instrumental practice of visually impaired musicians.

This repository contains the processed country-period (panel) dataset and the Stata code used to reproduce the empirical results reported in the article “Government Size, Civic Capital and Economic Performance: An O-ring Approach.” The original respondent-level EVS and WVS datasets are not redistributed and must be obtained directly from the respective data providers. The repository contains only the authors’ derived country-period aggregates.

This dataset provides the musical score transcription for Exercise No. 39 from the Paschoal Bona method, in both standard notation and Braille. The material includes files containing the standard score (print notation), print-ready Braille notation files, and editable source files for the MusiBraille music notation software. This resource was developed within the context of research into assistive technology and inclusive music education. The dataset serves as an open educational resource and a technical product designed to support the teaching, learning, and accessible instrumental practice of visually impaired musicians.