SPARKESX: Single-dish PARKES data sets for finding the uneXpected - Part 1

We present the Single-dish PARKES data sets for finding the uneXpected (SPARKESX), a compilation of real and simulated high-time resolution observations. SPARKESX comprises three mock surveys from the Parkes ''Murriyang'' radio telescope. A broad selection of simulated and injected expected signals (such as pulsars, fast radio bursts), poorly known signals (such as the features expected from flare stars) and unknown unknowns are generated for each survey. We provide a baseline by presenting how successful a typical pipeline based on the standard pulsar search software, PRESTO, is at finding the injected signals.\n\nThe dataset is designed to aid in the development of new search algorithms, including image processing, machine learning, and deep learning. The raw data, ground truth labels, and baseline are provided.\n\nThe collection is split into 4 parts. See collections in related links.\nPart 1 - Ground truth labels, injected images, multibeam dataset\nPart 2 - PAF dataset\nPart 3 - PAF dataset\nPart 4 - PAF dataset\n\nPublication: SPARKESX: Single-dish PARKES data sets for finding the uneXpected - A data challenge (Yong et a. 2022, submitted)\nLineage: The injected signals and simulated data were created using CSIRO's open source simulateSearch software.\nThe real data from the multibeam survey were acquired from the CSIRO Data Access Portal.

我们介绍了用于发现未知现象的单天线帕克斯（Single-dish PARKES）数据集（SPARKESX），该数据集整合了真实与模拟的高时间分辨率观测数据。SPARKESX包含来自帕克斯‘穆里扬’射电望远镜的三项模拟巡天项目。每项巡天项目均生成了多类模拟与注入的已知信号（如脉冲星、快速射电暴（fast radio bursts））、认知尚不明确的信号（如耀星预期产生的特征信号）以及未知未知信号。我们通过展示基于标准脉冲星搜索软件PRESTO的典型处理流程在识别注入信号时的表现，提供了基准性能参照。

本数据集旨在助力新型搜索算法的研发，涵盖图像处理、机器学习与深度学习等方向。数据集提供原始数据、真实标签（ground truth labels）以及基准性能参照。

本数据集共分为四个部分，相关链接中可查阅各部分详情：
第一部分：真实标签（ground truth labels）、注入图像与多波束数据集
第二部分：PAF数据集
第三部分：PAF数据集
第四部分：PAF数据集

发表文献：《SPARKESX：用于发现未知现象的单天线帕克斯数据集——一项数据挑战赛》（Yong等，2022年，已投稿）
数据溯源：注入信号与模拟数据均通过澳大利亚联邦科学与工业研究组织（CSIRO）的开源软件simulateSearch生成。
本次多波束巡天的真实数据获取自CSIRO数据访问门户（CSIRO Data Access Portal）。