Data underlying the PhD thesis: "Superconducting contacts for atomically precise graphene nanoribbons"

QCoDeS databases and .txt/.dat data files underlying the PhD thesis "Superconducting contacts for atomically precise graphene nanoribbons".The thesis consists of electrical measurements on graphene nanoribbon field effect transistors (FETs) and superconductor-normal metal-superconductor (SNS) junctions.<br>The data is organised per chapter. All measurements performed are electrical measurements in which either a voltage or a current is measured as a function of independent parameters (bias voltage, bias current, temperature, magnetic field, etc.). For each set of independent parameter values, the dependent parameter is registered.<br><strong>Types of data included:</strong>QCoDeS databases (.db files) can be opened using a python installation with QCoDeS installed. The database contains datasets, as well as metadata for each measurement. See "https://qcodes.github.io/Qcodes/" for instructions on how to read these database files. All units used are standard SI (V, A, K, T).dat files (in Chapter 1 only) are text files containing single measurements that can be opened with notepad, notepad++ and other text editing software, or imported in Python using numpy's <em>genfromtxt</em> command: https://numpy.org/doc/stable/reference/generated/numpy.genfromtxt.htmlAlso included: folders of (SEM and optical microscopy) image data (.png, .tiff, .bmp).Still to be included: folders with data analysis scripts for reproduction of thesis figures<br><strong>Three folders per chapter:</strong>DataImages (unedited images. Edited versions (zoomed in and/or enhanced contrast) in thesis)Scripts (data analysis)<br>Data analysis scripts can be run in a jupyter notebook capable python environment in which QCoDeS is installed in order to produce the figures in the thesis. (I recommend an anaconda installation with jupyter, qcodes and/or kwant installed in an environment)For the tight binding simulations in the thesis, a python environment with kwant should be installed: See "https://kwant-project.org/".<br><br><br>

本数据集包含支撑博士论文《用于原子级精确石墨烯纳米带的超导接触》（Superconducting contacts for atomically precise graphene nanoribbons）的QCoDeS数据库与.txt/.dat格式数据文件。该论文围绕石墨烯纳米带场效应晶体管（Field Effect Transistor, FET）及超导体-正常金属-超导体（SNS）结的电学测量展开。

数据按章节进行组织，所有测量均为电学测量：以电压或电流作为因变量，以偏置电压、偏置电流、温度、磁场等独立参数为自变量进行采集，并记录每组独立参数对应的因变量数值。

**包含的数据类型：**
QCoDeS数据库（.db文件）可通过安装了QCoDeS的Python环境打开，数据库中包含数据集与每项测量的元数据。数据库读取操作指南详见 "https://qcodes.github.io/Qcodes/"。所有采用的单位均为标准国际单位制（SI）：伏特（V）、安培（A）、开尔文（K）、特斯拉（T）。
仅第一章包含的.dat文件为单组测量数据的文本文件，可使用记事本、Notepad++等文本编辑软件打开，也可通过Python的`numpy.genfromtxt`命令导入，具体说明详见 "https://numpy.org/doc/stable/reference/generated/numpy.genfromtxt.html"。
此外还包含扫描电子显微镜（Scanning Electron Microscopy, SEM）与光学显微镜成像数据文件夹，格式包括.png、.tiff、.bmp。

待补充内容：用于复现论文图表的数据分析脚本文件夹。

**每个章节包含三个文件夹：**
DataImages：存放未编辑的原始图像，论文中使用的是经过放大和/或对比度增强的编辑版本
Scripts：存放数据分析脚本
数据分析脚本可在搭载了QCoDeS的支持Jupyter Notebook的Python环境中运行，以复现论文中的图表，推荐使用配置了Jupyter、QCoDeS和/或kwant的Anaconda环境。
针对论文中的紧束缚模拟，需安装搭载了kwant的Python环境，具体说明详见 "https://kwant-project.org/"。