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  • See the paper related to these dataset
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • This repository provides the supplementary R code and data to reproduce the experiments in the following paper : "Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning ". These include: 1. The main method function R file 2. The main script R file 3. The datasets for the development/validation cohorts (R data file format) 4. The pathway information (R data file format)
    Data Types:
    • Software/Code
    • Dataset
  • Data related to the publication: "A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry". Damond N, Engler S, Zanotelli VRT, Schapiro D, Wasserfall CH, Kusmartseva I, Nick HS, Thorel F, Herrera PL, Atkinson MA and Bodenmiller B. Cell Metab. 2019 Mar 5;29(3):755-768.e5. https://doi.org/10.1016/j.cmet.2018.11.014 We used imaging mass cytometry to simultaneously image 37 biomarkers with single-cell and spatial resolution in pancreas sections from 12 human donors at different stages of type 1 diabetes. CODE: - Python script for coordinate transformation - Functions for custom histoCAT neighborhood analysis DATA: - Single-cell data - Islet-level data - Cell type information - Cell relationships (cell-cell neighborhoods and cell-islet relationships) - Donors and image metadata. - Subset containing the data for 100 images from 3 donors IMAGES: - Image stacks (37 channels) for all donors (one .7z file per donor, numbers indicate nPOD case IDs) - Cell masks - Panel file with information related to antibodies and metal tags - Metadata file linking donor information to images - Metadata file linking image stack slices and panel information - Subset containing 100 images from 3 donors
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • Data set for 'SPACE SYNTAX AND THE HISTORIC URBAN CORE OF ŁÓDŹ' article Author: Mariusz Lamprecht, PhD, Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Łódź mariusz.lamprecht@geo.uni.lodz.pl
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
    • Document
    • File Set
  • This dataset contains information from the Colombian (2016-2017) Time-Use Survey (ENUT in Spanish) and Mexican (2014)Time-Use Survey. It contains unpaid housework and income information, at the household level, of "pure" working-class households, i.e., households with only waged workers.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Title of article: Hidden properties of city plans. A case study of Łódź Author: Mariusz Lamprecht, PhD, Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Łódź mariusz.lamprecht@geo.uni.lodz.pl The set of data presented in the article in figures 3-12 (shp files).
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
    • Document
    • File Set
  • Questionário e Banco de Dados referentes ao artigo "Fatores que influenciam a participação dos consumidores no Turismo Eletrônico", publicado pela Revista Brasileira de Pesquisa em Turismo - RBTUR.
    Data Types:
    • Software/Code
    • Dataset
    • Document
  • Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code of this study.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • This study dataset is for our study that aimed to understand the risk perception and the behavioral response of the university academics and students towards the COVID-19. The study is based on a self-administered online survey that was conducted among the academic staff and university students in Iraqi Kurdistan Region. The survey questionnaire included eight main questions about the main aspects of personal risk perception and behavioral response to COVID-19 based on a five or nine-point ordinal scale.
    Data Types:
    • Software/Code
    • Dataset
  • This dataset is uploaded as supplementary material for article "A new PARAFAC-based algorithm for HPLC-MS data treatment: Herbal extracts identification"
    Data Types:
    • Software/Code
    • Dataset
    • Text