Electron backscatter patterns from Nickel acquired with varying camera gain

Ten electron backscatter diffraction (EBSD) datasets from a recrystallised, polycrystalline sample of Nickel. The datasets, each comprising 29 800 patterns, were collected from the same region of interest (ROI) with EBSD camera gains varying from 0 dB to 24 dB (camera maximum). A backscattered electron image of the ROI is also included. The data was acquired in order to study denoising of EBSD patterns, more specifically the increased signal-to-noise ratio obtained after principal component analysis followed by dimensionality reduction, as presented in H W Ånes, J Hjelen, B E Sørensen, A T J van Helvoort, K Marthinsen "Processing and indexing of electron backscatter patterns using open-source software", IOP Conf. Ser.:Mater. Sci. Eng. (2019) (submitted, as part of the proceedings of EMAS 2019 - 16th European Workshop on Modern Developments and Applications in Microbeam Analysis in Trondheim, Norway). However, the data is released with the hope that it can be used to compare the performance of denoising methods in general. The datasets, Pattern.dat, are stored in the NORDIF (binary) format, with the top-left pixel in the top-left pattern as the first byte, and the bottom-right pixel in the bottom-right pattern as the last byte. They can be opened in for example the open-source Python package KikuchiPy (https://github.com/kikuchipy/kikuchipy). Assuming Python 3 or above and the package is installed, the patterns in scan 1 can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load('/path/to/nickel_scan_gain/scan1_gain0db/Pattern.dat') s.plot()</code></pre>十组来自再结晶多晶镍样品的电子背散射衍射（EBSD）数据集。每组数据集包含29800张衍射花样，均采集自同一感兴趣区域（ROI），采集时电子背散射衍射相机的增益范围为0 dB至相机最大增益24 dB。本数据集还包含该感兴趣区域的背散射电子图像。本数据集的采集旨在研究电子背散射衍射花样的降噪问题，更具体地说，是探究经主成分分析与降维处理后获得的信噪比提升效果，相关研究参见H W Ånes、J Hjelen、B E Sørensen、A T J van Helvoort、K Marthinsen发表于"IOP Conf. Ser.:Mater. Sci. Eng."（2019年）的论文《基于开源软件的电子背散射花样处理与标定》[该论文为2019年第16届欧洲微束分析现代发展与应用研讨会（EMAS 2019，挪威特隆赫姆）会议论文，已投稿]。但本数据集的发布初衷是为研究人员提供通用的降噪方法性能对比数据集。本数据集的文件名为Pattern.dat，以NORDIF（二进制）格式存储：每张衍射花样的左上角像素对应文件的第一个字节，右下角花样的右下角像素则对应文件的最后一个字节。可通过开源Python库KikuchiPy（https://github.com/kikuchipy/kikuchipy）读取该数据集。假设已安装Python 3及以上版本与该库，可通过以下命令读取并绘制第1次扫描的衍射花样： <pre><code class="language-python">import kikuchipy as kp s = kp.load('/path/to/nickel_scan_gain/scan1_gain0db/Pattern.dat') s.plot()</code></pre>