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  • Uncropped gels, raw data and plasmid sequences for publication 'Human DNA polymerase η is regulated by mutually exclusive mono-ubiquitination and mono-NEDDylation'
    Plasmid files, uncropped immunoblots, and immunofluorescence images for publication: Natália C Moreno, Emilie J Korchak, Marcela T Latancia, Dana A D’Orlando, Temidayo Adegbenro, Ryan P Barnes, Irina Bezsonova, Roger Woodgate, Nicholas W Ashton, Human DNA polymerase η is regulated by mutually exclusive mono-ubiquitination and mono-NEDDylation, Nucleic Acids Research, Volume 54, Issue 4, 27 February 2026, gkag098, https://doi.org/10.1093/nar/gkag098 Images from an additional third replicate of the immunofluorescence studies are available on request to Dr. Woodgate. These images were excluded from this submission due to space constraints.
  • Health assessment and size measurement of Atlantic salmon from pictures and videos in a commercial sea cage at 4 depths
    This repository contains the raw data and R scripts used in the statistical analyses for our publication: "Exploring physical health and size stratifications of Atlantic salmon (Salmo salar) with depth in a commercial sea cage." We encourage readers to consult the article for detailed information on data collection, variable definitions, analytical methods, and conclusions. We present the raw health scoring data for our two datasets, the stereovision dataset and the CView Eye (automatic sensor; CView Eye 2023-2024, Createview AS, Molde, Norway) dataset, along with size measurements: fork length (measured using EventMeasure; V6.43–64 bit, SeaGIS Pty Ltd 2006–2024, Bacchus Marsh VIC, Australia) for the stereovision dataset, and weight (automatically measured by the stereovision cameras of the sensor) for the CView Eye dataset. Data were collected at four depths (1 m, 5 m, 9 m, and 14 m) in a commercial sea cage (Gudmundset fish farm in Møre og Romsdal county, Norway) between June and August 2024. For the health assessments, fish were scored from 0 = no damage to 3 = serious damage, following the Laksvel protocol ("A standardised, operational welfare monitoring protocol for Atlantic salmon held in sea cages", Nilsson et al., 2025) for the selected indicators: spinal deformity (SD), jaw deformity (JD), emaciation (E), operculum damage (O), scale loss (SL), Body wound (BW). In the Stereovision dataset, scoring was performed manually from video footage. In the CView Eye dataset, scoring was performed manually on a random selection of images selected by the sensor. Dataset Summary Stereovision dataset: 4,053 fish scored and measured for fork length → File: HealthScoring-LengthMsrts-Stereovision.xlsx CView Eye dataset: 8,641 fish scored (note: not all indicators were possible to score due to bad fish orientation, visibility, or lighting on the pictures) → File: HealthScoring_fromsensorpictures.xlsx 57,616 fish retained for weight estimation → File: SizeMsrts_automaticsensor.xlsx Statistical Analyses Principal Component Analysis (PCA) was used to explore correlations among health indicators → Script: PCAscript.R Generalized Linear Mixed Models were applied to each health indicator as an outcome variable for both datasets → Scripts: HealthScores_analysis_Stereovision.R, HealthScores_analysis_CViewdata.R Linear Mixed-Effects Models were used to analyze size data (length or weight) → Scripts: Length_analysis_Stereovision.R, Weight_analysis_CViewdata.R
  • Clinical Characteristics, Subtype Classification and Prognostic Factors of Ophiasis: a Retrospective Study of 150 Patients with Therapeutic Implications
    Supplementary Table. 1 detailing demographic and clinical characteristics of ophiasis with mono-hairline, patchy AA and diffuse AA. Supplementary Table. 2 detailing trichoscopy characteristics of ophiasis with mono-hairline, patchy AA and diffuse AA. Supplementary Table. 3 detailing SALT50 and SALT75 efficacy in ophiasis patients of different subtypes and clinical characteristics. Supplementary Figure.1 detailing images of pattern I, pattern Ⅱ and pattern Ⅲ. Supplementary Figure.2 detailing the difference in demographic and clinical characteristics of ophiasis, patchy AA, acute diffuse and total alopecia and alopecia universalis / alopecia totalis patients. Supplementary Figure.3 detailing the difference in trichoscopy characteristics of ophiasis, patchy AA, ADTA and AU/AT patients. Supplementary Figure.4 detailing characteristic trichoscopy findings in ophiasis. Supplementary Figure.5 detailing the difference in demographic and clinical characteristics of ophiasis with mono-hairline, patchy AA and diffuse AA. Supplementary Figure.6 detailing the difference in trichoscopy characteristics of ophiasis with mono-hairline, patchy AA and diffuse AA.
  • Data for: A new pair of lunar gabbroic meteorites record magma recharge at ~ 3.0 Ga
    Data for manuscript by Li et al., to be submitted to Geochimica et Cosmochimica Acta as "A new pair of lunar gabbroic meteorites record magma recharge at ~ 3.0 Ga".
  • Supplementary Material to: The Regional Gender Equality Index (R-GEI) through PLS-PM Models
    This dataset provides the complete table of selected indicators for each domain and subdomain used in the construction of the Regional Gender Equality Index (R-GEI). It also reports the corresponding survey sources from which each individual indicator was derived. The indicators were employed in the short paper entitled “The Regional Gender Equality Index (R-GEI) through PLS-PM Models”. This material is made publicly available in accordance with Open and FAIR Data principles, with the aim of ensuring transparency, replicability, and methodological clarity.
  • Karachi Environmental Datasets (2015–2024): Weather, Soil, and Urban Tree Species Traits
    This dataset provides three integrated environmental data resources for Karachi, Pakistan, developed to support urban climate research, soil suitability assessment, and climate-resilient urban forestry planning. The first dataset contains monthly aggregated meteorological records for 100 georeferenced locations across Karachi from January 2015 to December 2024. Variables include mean air temperature (°C), relative humidity (%), and wind speed (km/h). Raw hourly or daily weather data were retrieved via a publicly accessible API and aggregated to monthly averages. The dataset enables long-term climate trend analysis, seasonal variability studies, and spatial comparisons across urban zones. The second dataset consists of soil properties for 104 georeferenced locations extracted from the SoilGrids v2 API (0–5 cm depth). Variables include organic carbon density (kg/m³), pH, clay (%), sand (%), and bulk density (g/cm³). SoilGrids raw values were converted into standard scientific units using documented scaling factors. Locations were grouped into 20 spatial clusters representing broader soil zones, and six dominant soil-type patterns were identified across Karachi. Soil predictions were compared with published field observations (Naz et al., 2019), showing strong agreement in pH gradients, texture distributions, and organic matter ranges, with an estimated overall reliability of ~87%. The third dataset is a structured trait database of 30 commonly planted urban tree species in Karachi, containing 49 ecological, morphological, and environmental tolerance attributes. Traits include growth rate, canopy development, soil and salinity tolerance, climatic thresholds, drought resistance, pollution tolerance, and urban heat resilience. Data were compiled from horticultural literature, FAO EcoCrop database, municipal records, and field observations, and validated by botanical experts. Together, these datasets provide an integrated foundation for urban climate modeling, soil suitability assessment, species selection analysis, machine learning applications, and green infrastructure planning in arid coastal megacities.
  • Supporting Information for Tectonics by Lin Chengfa
    This Supporting Information mainly comprises datasets of isotopic geochronological (zircon U-Pb and single mineral 40Ar-39Ar) and lithostratigraphic data for Mesozoic strata in the Yanshan belt (Table S1), attitude data supporting the dip-distance relationship in growth strata in the Gan’goumen profile (Table S2), zircon U-Pb data from three newly obtained samples (Table S3), timing and deformational data for 28 mesoscopic structures (Table S4), and geochronological, geochemical, and isotopic data for Mesozoic plutons (Table S5). Most data were extracted from previously reported papers during writing of the manuscript (ca. 2022-2024) by the authors (Table S1 and Table S4-S5). Some data were created during this project (ca. 2019-2022) by authors (Table S2-S3).
  • Storage study data for paneer in controlled RH and Temperature environment
    The dataset shows a data log generated by a self assembled open source low-cost, microcontroller-based device to precisely monitor and control storage conditions. Utilizing open-source hardware and software (Arduino), the device incorporates a data acquisition system for continuous monitoring of temperature and humidity. The successful continuous operation of the system for thirteen days demonstrates its reliability for various applications, including moisture sorption isotherms, dehydration kinetics, and other storage stability studies. This system enables precise control of storage conditions, allowing for the determination of optimal storage parameters (7±1.7°C and 37±1.7%RH) for nine days of safe paneer storage. This data set has been analyzed, and a detailed research paper has been published. Deep, A., Jindal, N. & Prasad, K. Development of microcontroller based versatile device for the process monitoring and control applications in food processing industries. J Food Sci Technol (2026). https://doi.org/10.1007/s13197-026-06623-w
  • Data Replication for Paper: Policy uncertainty and optimal provision of public information
    This package contains the data and code required to replicate the stylized facts, theoretical discussions, and numerical proofs presented in the main manuscript and Appendix.
  • Wirelessly Controlled Modular Automatic Chambers for Greenhouse Gas Flux Monitoring in Natural and Agricultural Ecosystems: Supplementary Materials
    Supplementary materials for the publication "Wirelessly Controlled Modular Automatic Chambers for Greenhouse Gas Flux Monitoring in Natural and Agricultural Ecosystems" by Mikhail Mastepanov
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