https://github.com/centerforthebuiltenvironment/cn-db

https://github.com/centerforthebuiltenvironment/cn-db

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: sciencedirect.com
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: CenterForTheBuiltEnvironment
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 2.03 MB
Statistics
  • Stars: 0
  • Watchers: 5
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

Open access paper: https://www.sciencedirect.com/science/article/pii/S2950362025000098 Causal effects estimation: Using natural experiments in observational field studies in building science

Three Chinese thermal comfort dataset files are downloaded from https://osf.io/d465n/. Yang, L., Zhao, S., Zhai, Y., Gao, S., Wang, F., Lian, Z., Duanmu, L., Zhang, Y., Zhou, X., Cao, B., Wang, Z., Yan, H., Zhang, H., Arens, E., & de Dear, R. (2023). The Chinese thermal comfort dataset. Scientific Data, 10(1), Article 1. https://doi.org/10.1038/s41597-023-02568-3

We cleaned the data (documented in the Datacleaning.ipynb) and the resulted files are CNDBCITY and CNDB for regression discontinuity analysis

Note: Thermal preference (cooler, no change, warmer)is described in the paper, but is missing in the dataset

Owner

  • Name: CenterForTheBuiltEnvironment
  • Login: CenterForTheBuiltEnvironment
  • Kind: organization
  • Location: Berkeley, CA

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