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Figure legend: Supplementary Figure 1: Detailed methods section. Expanded description of the methods employed in this investigation. Supplementary Figure 2A-B: Photos of histopathology of representative complete responder. (2A) Original biopsy from the left medial buccal cheek showing MIS characterized by asymmetric lentiginous junctional melanocytic proliferation of single and nests of melanocytes on sun-damaged skin. (2B) Mohs layer with MART-1 stain after 4 weeks of imiquimod treatment. Black arrows show normal melanocyte spacing along dermal-epidermal junction. Supplementary Figure 3: Active tumor debulking using topical imiquimod. Lesion and surrounding skin reacting to a course of topical imiquimod. Supplementary Table 1: Combined table showing patient demographics and clinical tumor response to imiquimod. Displayed data includes age/sex; tumor location; prior history of skin cancer; family history, past medical history; original tumor area (cm2), post-neoadjuvant tumor area (cm2); and tumor percent change in area.

This supplementary dataset contains the statistical outputs, diagnostic products, validation results, figure source data, and replication materials supporting the article “Forest Habitats, Management Intensity, and Elevation as Drivers of Eumycetozoa Distributions and Their Utility as Bioindicators”. All statistical results are contained in the folder Analysis_Outputs. A detailed inventory of all files, worksheets, and their contents is provided in File_Index_and_Descriptions.pdf. The analytical workflow is based on the underlying occurrence archive: Pawłowicz T (2025). Georeferenced Checklist and Occurrence Dataset of Slime Moulds (Eumycetozoa) Across Central and Eastern Europe Emphasising Forest Ecosystems. Biodiversity Data Journal. Occurrence dataset. https://doi.org/10.15468/jqukxm

This supplementary package accompanies the manuscript “Substrate affinities of slime moulds (Eumycetozoa) and their potential as indicators of forest microhabitat conditions”. It contains the replication code, quality-control outputs, analysis-unit and model-frame tables, diversity summaries, substrate-effect models, indicator-species results, pH screening outputs, cross-validation and diagnostic summaries, sensitivity analyses, and figure source data required to reproduce and audit the substrate-focused analyses presented in the manuscript. All analytical result files are contained in the folder Analysis_Outputs. A detailed inventory of all files, worksheets, and their contents is provided in File_Index_and_Descriptions.pdf. The analytical workflow is based on the underlying occurrence archive: Pawłowicz T (2025). Georeferenced Checklist and Occurrence Dataset of Slime Moulds (Eumycetozoa) Across Central and Eastern Europe Emphasising Forest Ecosystems. Biodiversity Data Journal. Occurrence dataset. https://doi.org/10.15468/jqukxm These materials document data checking and harmonisation, construction of country × substrate analysis units and offsets, diversity standardisation, zero-truncated negative binomial mixed modelling, elevational affinity profiling, indicator analyses, pH screening, model validation, and sensitivity analyses.

Analysis of Serum Glutamate Dehydrogenase Levels and Neuropathic Pain in HIV Patients in Makassar: A Cross-Sectional Study

Dataset for training DNN

This dataset contains 204 monthly observations collected for Santarém, Pará, Brazilian Amazon, covering the period from January 2008 to December 2024. It was compiled to support the investigation of associations between meteorological conditions and respiratory disease morbidity and mortality in a tropical South American region. The dataset includes the following variables: month, year, monthly precipitation (mm), maximum temperature (°C), minimum temperature (°C), relative humidity (%), in-hospital mortality rate from respiratory diseases (%), and number of hospitalizations from respiratory diseases. All variables are aggregated as monthly means or totals. Meteorological data were obtained from two sources: the Aeronautical Meteorology Network (REDEMET), station at Santarém International Airport, and the Meteorological Database for Teaching and Research (BDMEP) of the National Institute of Meteorology (INMET). Health data were extracted from the Hospital Information System (SIH) of Brazil's Unified Health System (SUS), maintained by the Ministry of Health. Records correspond to residents of Santarém and cover all respiratory disease categories under Chapter X of the International Classification of Diseases, 10th revision (ICD-10). This dataset may be used to reproduce the cross-correlation, principal component, and random forest analyses reported in the associated manuscript. It may also serve as a reference for future studies on climate-health relationships in the Brazilian Amazon.

This replication package accompanies the article “Political and Economic Institutional Quality, Incoherence, and Income: A Spatial Panel Approach.” It tests how political and economic institutions, along with their internal incoherence, affect income via a Spatial Durbin Model with individual fixed effects. Please refer to the "README.md" file for a quick start and an end-to-end workflow overview. The code is self-contained and self-explanatory. Running the "_main.R" file reproduces all tables and figures reported in the paper. No synthetic data is generated, and all paths are relative to the current directory. For methodological details and interpretation, refer to the manuscript. All compiled data and code in this package are shared under the license stated on this record. Raw third-party data remain available from the cited providers; links and exact retrieval/processing instructions are explained in the "README.md" file.

The dtSEM_RV dataset is an anonymised individual-level file available in XLSX and RData formats, containing survey responses from 310 landowners and residents within a 10-km buffer zone surrounding Cerro Castillo National Park, Aysén Region, Chilean Patagonia, collected between 2023 and 2025 as part of FONDECYT Regular Project 1230020 (Sustainable Territorial Transitions Integrative Stewardship Planning, ST2ISP). Each row represents one respondent. Columns include: (i) raw questionnaire items (Q14–Q52) covering land tenure, land use, intentions, attitudes and behaviours; (ii) socio-demographic variables including gender, age group, education, income, household composition and municipality; and (iii) derived indicators and indices used in the structural equation modelling analysis. Derived indicators comprise reflective indicators for relational values toward own land (RelaValueOL_1–_3) and toward the national park (RelaValueNP_1–_2), civic identity (delp_1, delp_2), norm compliance (CANor_1, CANor_2), civic behaviour (Solid_1–Solid_3) and participatory democracy (DoDemo_1–DoDemo_3). The dataset also includes log-transformed and percentile-based versions of behaviour-frequency items (Q30_1l–Q30_10l) and their aggregated sub-indices: Institutional Commitment (Compromiso_Institucional), Grassroots Action (Accion_Base), Capacity Building (Construccion_Capacidades), Participatory Breadth (Amplitud_Participativa), Participatory Depth (Profundidad_Total), Composite Behaviour Index A (IFCompA), Composite Behaviour Index B (IFCompB), Participatory Management (Gestion_Participativa) and the Do-Democracy Index (IDoDemo). The repository also includes the R analysis code used to conduct the structural equation modelling, including outer model evaluation, bootstrapping (5,000 iterations) and path coefficient estimation, implemented using the SEMinR package (version as specified in the code file) in R (version 4.4.1). The code is provided as an annotated R script (.R file) to enable full reproducibility of the analyses reported in the associated publication. This dataset corresponds to Version A of an A/B sample design. Version B data (place attachment subgroup, n = 331) will be made available upon publication of the companion paper. Data collection was approved by the Comité Ético Científico en Investigación con Seres Humanos of the Universidad Austral de Chile (approval code IRI11_23). All participants provided informed consent prior to participation. Data are fully anonymised; no personally identifiable information is included.

Supplemental materials, including PRISMA flowchart (Figure S1) and summary table (Table S1).

This dataset accompanies a longitudinal study of chronic osteoarthritis pain in the MI-RAT© surgical model. The study integrates quantitative sensory testing, joint structural assessments (macroscopic and histological scoring), and label-free spinal LC–MS/MS neuropeptidomic profiling over 84 days following OA induction. Behavioral measures include spontaneous pain, mechanical hypersensitivity, temporal summation, and endogenous inhibitory and facilitatory pain modulation. The dataset captures time-dependent changes in somatosensory processing, descending modulation, joint degeneration, and spinal neuropeptide remodeling.