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Data · dataset · 2026

The dataset of "Analysis and Correction of Algorithm-Induced Timing Jitter in Phase-Sensitive Optical Measure ment with Computational Inversion"

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This document describes the dataset directory structure, the meaning of the data files, the rules for data export and restoration, and the basic workflow required to reproduce the figures in the paper.

Description

The dataset supports the paper “Analysis and Correction of Algorithm-Induced Timing Jitter in Phase-Sensitive Optical Measurement with Computational Inversion”.1. Dataset OverviewThis dataset contains standardized exports of the raw experimental data, data-processing programs, plotting data for the figures in the main text of the paper, and documentation related to the data-processing workflow.

The dataset is mainly divided into two parts:• RawData_Cantilever: contains raw experimental data extracted from the experimental H5 files and saved in a standardized format, metadata files, and data-processing scripts. It is used to reproduce the experimental data-processing workflow and obtain the result data required for Fig. 4.• FigData: contains the plotting data for Fig. 1 to Fig. 4 in the main text of the paper.

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These files can be used directly to verify the curves and error bars in the figures.The public data in RawData_Cantilever consists of the analysis-related fields extracted from the experimental H5 files. The original H5 files also contain a large amount of experimental records and intermediate information that are not directly related to the analysis in this paper. To reduce the data volume and improve clarity for reproduction, this dataset provides standardized exported data that are sufficient to reproduce the experimental processing and figure results reported in the paper.2.

Dataset Directory StructureThe dataset uses the following directory structure. The archives FigData.zip and RawData_Cantilever.zip are compressed versions of the FigData and RawData_Cantilever directories, respectively. Their contents are identical to the corresponding extracted directories, which facilitates repository archiving and user download.Dataset/├── README_CN.docx├── README_EN.docx├── FigData.zip├── RawData_Cantilever.zip├── FigData/│  ├── Fig1a.csv│  ├── Fig1b.csv│  ├── Fig2a.csv│  ├── Fig2b.csv│  └── Fig4.csv└── RawData_Cantilever/   ├── RawData/   │  ├── 1/   │  │  ├── metadata.csv   │  │  └── raw_data.csv   │  ├── 2/   │  │  ├── metadata.csv   │  │  └── raw_data.csv   │  └── 3/   │      ├── metadata.csv   │      └── raw_data.csv   ├── DATAPROCESS.py └── RawData_Process_EN.docx

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.326439 d agoJSON v1
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