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This dataset contains the results of our study of upper crustal anisotropy in the Zagros region. We calculated shear wave splitting parameters for the local earthquakes in the study area. The data reported here is the output of the MFAST code. Each plot shows the original and corrected seismograms and the associated splitting parameters as produced by the code. Each plot is for one station-event pair. In addition we have included a tabulated list of splitting parameters for each seismic station. We used the results of our seismic analysis to infer the mechanisms and causes of seismic anisotropy in the southern part of the Zagros range.

• Bangla, a language spoken by more than 230 million people worldwide, is significantly underrepresented in speech and sentiment analysis research when compared to high-resource languages. • This is addressed with the dataset. Researchers and developers working on low-resource language technologies, such as sentiment analysis, speech recognition, and multimodal learning frameworks, should find this extensive resource very helpful. • Sentiment-aware speech recognition, speech-based emotion detection, emotionally expressive text-to-speech systems, multimodal sentiment classification, and speaker-independent recognition models are just a few of the many applications that can be developed and evaluated using this dataset. • Its modular structure promotes continuous research expansion by enabling contributors to add new regional vocabularies, dialectal variations, or additional sentiment classes over time. • The dataset is precisely balanced, with 4,000 audio recordings created by four native speakers (two male and two female) and 500 samples for each sentiment category. The sentences capture the natural and everyday use of the Bangla language, spanning a wide range of topics that include events, emotions, personal experiences, and general statements.

Studies comparing immunogenicity of biosimilars and their reference products that are used for the treatment of plaque psoriasis. (*) indicates when a study reported EU-reference product. ADA percentages indicate the number of patients who developed anti-drug antibodies. NAb percentages indicate the percentage of total patients who developed neutralizing antibodies.

Data for article.

Supplementary Figures S1 and S2

The date of Lumbar Sympathectomy in CCI model.

fNIRS data for the study about perception differences between designers and consumers.

This supplemental material provides additional methodological details, definitions, and results supporting the main analysis. Data Source: Describes the French national health data system (SNDS), and approvals for study. Marginal Structural Models (MSMs) with Inverse Probability of Treatment Weighting (IPTW) and Inverse Probability of Censoring Weighting (IPCW): Provides a detailed explanation of the statistical modeling framework used to estimate the causal effect of concomitant methotrexate (MTX) on TNFi persistence, including model specification, weight construction, stabilization, and truncation procedures. Contents Data source Marginal Structural Models (MSMs) with Inverse Probability Treatment Weighting (IPTW) and Inverse Probability Censoring Weighting (IPCW) Supplemental Table I. Definition of medicine exposures Supplemental Table II. Algorithms to identify comorbidities Supplemental Table III. Population baseline characteristics across methotrexate exposure levels Supplemental Table IV. Continuous and categorical concomitant methotrexate use across dosing regimes and calculation methods over trimesters Supplemental Table V. Impact of concomitant methotrexate on TNFi persistence: sensitivity analyses. 15 Supplemental Table VI. Impact of concomitant methotrexate on adalimumab persistence: post-hoc subgroup analysis. Supplemental Figure 1. Directed acyclic graph showing the association among biologic persistence, concomitant methotrexate, and time-varying covariates.

The files provided are organized into two main directories, reflecting the different stages of the systematic mapping process. The Export directory contains the raw files originally exported from the scientific digital libraries used in the primary search, prior to the application of any filtering, refinement, or analytical procedures. These files preserve the initial state of the retrieved records and ensure transparency and traceability of the data collection phase. The Mapped Studies directory includes the artifacts produced and used throughout the selection, analysis, and synthesis stages of the systematic mapping, as defined in the methodological protocol. Specifically: * finalResult.xls: contains the 86 final primary studies included in the systematic mapping after the application of the inclusion and exclusion criteria and the execution of the snowballing procedure. * resultsReadyToAnalisys.xls: includes the 257 studies remaining after the initial filtering stage, which were subsequently subjected to content analysis and final selection. * selectedResults.xls: presents the 64 studies selected during the initial phase of the systematic mapping, prior to the application of the snowballing technique. * selectedSnowballing.xls: contains the 22 additional studies identified through snowballing after content analysis and scope validation. * semanticAnalysisMappedStudies.docx: documents the results of the AI-assisted content analysis, employed to support the categorization and interpretation of the selected studies. * snowballingResults.xls: includes the studies initially considered during the snowballing phase, which were subsequently assessed and filtered according to the criteria defined in the protocol. Together, these files support the reproducibility, auditability, and transparency of the systematic mapping study, enabling other researchers to understand, replicate, or extend the study based on the original and intermediate data made available.

Bin Packing problem instances for N = 120. The dataset includes the target solver and the generation method employed to produce such instance.