Floating-Point Compressor Benchmarking Datasets

本数据集由因斯布鲁克大学分布式与并行系统组创建，旨在为浮点数据压缩算法提供基准测试数据。数据集包含多种类型的数据，如体积数据、时间序列数据等，总计24个数据集。这些数据来源于多个公开可访问的科学数据源，如NASA/IPAC红外科学档案、射电望远镜数据中心等。创建过程中，研究人员从这些源中精选数据，确保其代表性和适用性。数据集主要应用于科学计算领域，特别是浮点数据压缩算法的开发和评估，以解决数据存储和传输效率问题。

This dataset was created by the Distributed and Parallel Systems Group at the University of Innsbruck, with the aim of providing benchmark data for floating-point data compression algorithms. It comprises 24 individual datasets spanning multiple data categories, including volumetric data, time series data, and more. All data is sourced from a variety of publicly available scientific data repositories, such as the NASA/IPAC Infrared Science Archive and the Radio Telescope Data Center, among others. During the dataset construction phase, researchers carefully curated data from these sources to guarantee its representativeness and suitability. This resource is primarily applied in the field of scientific computing, specifically for the development and evaluation of floating-point data compression algorithms, to address issues related to data storage and transmission efficiency.