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This dataset contains the data used in the paper (arXiv:2301.02398) on the estimation and subtraction of glitches in gravitational wave data using an adaptive spline fitting method called SHAPES . Each .zip file corresponds to one of the glitches considered in the paper. The name of the class to which the glitch belongs (e.g., "Blip") is included in the name of the corresponding .zip file (e.g., BLIP_SHAPESRun_20221229T125928.zip). When uncompressed, each .zip file expands to a folder containing the following. An HDF5 file containing the Whitened gravitational wave (GW) strain data in which the glitch appeared. The data has been whitened using a proprietary code. The original (unwhitened) strain data file is available from gwosc.org. The name of the original data file is the part preceding the token '__dtrndWhtnBndpss' in the name of the file.A JSON file containing information pertinent to the glitch that was analyzed (e.g., start and stop indices in the whitened data time series).A set of .mat files containing segmented estimates of the glitch as described in the paper. A MATLAB script, plotglitch.m, has been provided that plots, for a given glitch folder name, the data segment that was analyzed in the paper. Another script, plotshapesestimate.m, plots the estimated glitch. These scripts require the JSONLab package.
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Heating, Ventilation, and Air Conditioning (HVAC) Data of Buildings in US
This data set contains measurements from real HVAC (heating, ventilation, and air conditioning) systems of real buildings in the US. Each ZIP file contains CSV data files of a building for different scenarios. Refer to the README file in each ZIP file for details. The document `data_info.pdf` provides explanations of the variables/columns in the data files. This work was supported by the U.S. National Science Foundation (NSF) under grants 2514584 and 2513096.
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- PAR ID:
- 10608885
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- HVAC Building FOS: Civil engineering Energy Climate
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International; Copyright (C) 2025 Truong X. Nghiem
- Sponsoring Org:
- National Science Foundation
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