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Supplementary Data for a Qualitative Single-Case Study : Task-Bound Convergence

This dataset contains the Mathematica files, input data, and calculated results supporting the manuscript "Modeling partially associated NaCl solutions with the SIT framework: temperature and pressure dependence of binary interaction parameters up to 600 K and 100 MPa" by Andrey V. Plyasunov (Fluid Phase Equilibria). The dataset includes: Folder 1: Archer-Carter_Model Mathematica implementation of the Archer and Carter [3] model for calculating the recommended values of γ± and φ of NaCl solutions 273.15–598.15 K, pressures (Ps and 100 MPa), and molalities (0.5–6.0 mol kg⁻¹) covered in the study. Folder 2: SIT_Parameter_Determination Mathematica files for determining the SIT parameter ε₁ at all temperatures and pressures for three approximations: (i) ε₂ = 2ε₁, ε₃ = ε₁ (preferred model) (ii) ε₂ = ε₃ = 2ε₁ (iii) Full dissociation Fitted ε₁ values, σ(ln γ±), σ(φ), and the degree of dissociation α at all conditions. Folder 3: MonteCarlo Mathematica scripts for Monte Carlo propagation of the uncertainty in log₁₀ Kass° (σ = 0.174) to α, γ±, and φ. Results for four representative conditions: 298.15 K and 598.15 K, at both P_s and 100 MPa.

Effective property tax rates, median home values, median property taxes paid, median household income and FHFA conforming loan limits for 51 states (including DC) and 3,144 counties, compiled from the American Community Survey 2020-2024 (5-year) and FHFA 2026 limits. The effective rate is median real estate tax paid divided by median home value. Includes a data dictionary, method notes and known limits. Two files: counties.csv and states.csv. An interactive version with state and county pages is at https://totalmonthly.com/property-tax-by-state/ . The same dataset is also deposited at https://doi.org/10.5281/zenodo.23100375 and https://osf.io/g5ncd . Limits: ACS 5-year estimates carry sampling error, larger for small counties, and the rate is a county-level average, not the rate on a specific home.

This dataset supports the manuscript entitled "Imaging-Enabled Spectral Flow Cytometry Panel for Profiling PD-1⁺/PD-L1⁺ Immune Cells interactions in humans". This dataset contains imaging-enabled spectral flow cytometry raw data generated from peripheral blood leukocytes obtained from healthy adult human volunteers following informed consent and local ethical approval. Whole blood was collected in EDTA tubes and processed for leukocyte isolation by red blood cell lysis. Briefly, 500 µL of whole blood was transferred to 15 mL conical tubes, incubated with 10 mL of ammonium chloride-based lysis buffer for 5 min at room temperature, and centrifuged at 450 × g for 5 min. After supernatant removal, cells were washed once with DMEM, centrifuged again, and resuspended for counting. Leukocytes were adjusted to 1 × 10^5 cells per condition. The dataset includes two main experimental groups: non-stimulated leukocytes and stimulated leukocytes. For the stimulated group, cells were cultured for 16 h at 37°C in a humidified incubator with 5% CO2 in DMEM supplemented with heat-inactivated fetal bovine serum, anti-CD3 (1 µg/mL), anti-CD28 (1 µg/mL), and IFN-γ (10 ng/mL). The non-stimulated group was cultured under the same conditions in medium alone and served as the control. These two biological conditions were used to compare basal and induced expression of PD-1 and PD-L1 across human leukocyte populations. After culture, cells were stained for imaging-enabled spectral flow cytometry. Samples were first incubated with Fc block and Fixable Viability Stain 780, followed by staining with the optimised antibody panel. The final panel included CD5 BUV395, CD4 BV510, CD8 BV421, CD14 V450, CD15 APC, CD19 BV786, CD45 Pacific Orange, CD56 APC-R700, PD-1 PE-Cy7, and PD-L1 BB515. After staining, samples were washed, resuspended in staining buffer, and acquired on a BD FACSDiscover™ A8 instrument equipped with BD CellView™ technology. In addition to the main biological groups, the dataset also includes control samples used for panel optimisation, spectral unmixing, and validation. These controls comprise unstained controls, single-stained controls prepared from stimulated and non-stimulated leukocytes, Fluorescence Minus Imaging (FMI) controls containing all non-imaging fluorochromes except those assigned to imaging channels, and Fluorescence Minus One (FMO) controls lacking either PD-1 or PD-L1. These controls were used to assess background signal, unmixing quality, spillover into imaging channels, and marker resolution. Overall, this dataset provides raw and control data for the development and validation of an imaging-enabled spectral flow cytometry panel designed to identify major leukocyte subsets and to evaluate PD-1/PD-L1 expression and immune cell interactions in human peripheral blood.

original data used for Synoptic-scale organization of multi-day black carbon variability in a regional-background environment over eastern China

This dataset contains coded survey responses from 612 participants regarding the awareness, use and perceived reliability of DNA profiling in India’s criminal justice system. The Excel file includes 52 variables: eight demographic and professional variables covering gender, age group, education, professional background, institutional association, professional experience, region and nature of work association, followed by 44 items measuring seven constructs—Awareness of DNA Profiling, Use of DNA Profiling in Criminal Investigation, Perceived Reliability of DNA Evidence, Legal and Procedural Awareness, Institutional Capacity and Training, Ethical and Privacy Concerns, and Overall Perception of DNA Profiling. All construct items were measured on a five-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). Each row represents one respondent, and no direct personal identifiers are included.

Serum samples from four experimental groups (CON, T2DM, POS, and PTP-H; n = 7 per group) were subjected to untargeted metabolomics analysis by LC-MS/MS (Beijing Novogene Co., Ltd., Beijing, China) to investigate the systemic metabolic changes induced by PTP intervention in T2DM mice. Serum metabolites were extracted with 80% methanol aqueous solution, and quality control (QC) samples were prepared by mixing equal volumes of all serum samples to monitor instrument stability. Metabolites were separated on a Hypesil Gold C18 column and detected on a Q Exactive HF mass spectrometer in both positive and negative ion modes. Raw data were processed using Compound Discoverer 3.1, and metabolites were identified against the mzCloud, mzVault, and MassList databases. Differential metabolites were screened using VIP > 1, P < 0.05, and FC ≥ 2 or FC ≤ 0.5, and functional annotation was performed using the KEGG, HMDB, and LIPIDMaps databases. This dataset provides a comprehensive profile of serum metabolic alterations associated with PTP-mediated improvement of glucolipid metabolism in T2DM mice.

Abstract—Oral Squamous Cell Carcinoma (OSCC) is a malignant disease with high mortality that is often diagnosed at an advanced stage. This study systematically evaluates local-global feature representation for OSCC histopathology classification using a CNN-ViT hybrid architecture that integrates EfficientNetB3 with a Transformer Encoder. Rather than focusing solely on architecture comparison, a phased ablation study was conducted to examine the contributions of the Transformer Encoder, data augmentation, and class weighting to classification performance. Grad-CAM++ was further employed as an Explainable AI (XAI) method to examine model attention patterns in histopathological images. Experiments were performed on the Histopathologic Oral Cancer Detection dataset from Kaggle, with multi-seed evaluation using five random seeds. The complete configuration combining the Transformer Encoder, data augmentation, and class weighting achieved the highest observed performance, with 92.86% accuracy, 90.04% F1-score, and 96.84% sensitivity. Across five seeds, the model achieved an average accuracy of 91.27% ± 1.51% and sensitivity of 94.53% ± 1.23%. Grad-CAM++ visualizations showed activation patterns concentrated on histopathological regions relevant to OSCC classification. However, expert pathologist validation is required to establish the clinical relevance of these interpretations.

This replication package accompanies the research paper “Accounting domains and the robustness of ecosystem-integrity measurement in nature-based carbon projects.” It contains the frozen analysis code, sample and geometry definitions, provenance and source-integrity records, source hashes, and aggregate expected outputs needed for independent reproduction. The public-safe archive intentionally does not redistribute compact project/domain-level numerical values derived from the upstream 300-m Ecosystem Integrity Index Earth Engine asset because a separate explicit redistribution licence for those raster-derived values was not identified during the release audit. Full reproduction obtains the project-boundary source data from Karnik et al. (2025; CC BY 4.0) and queries the upstream EII Earth Engine asset using the frozen analysis pipeline. No raw GeoPackages or heavy Earth Engine intermediates are redistributed.