BIG-RED Dataset

该数据集是一个真实世界的光谱数据集，包含了超过123TB的宽带IQ样本数据，这些数据自2020年以来，通过内布拉斯加州实验性物联网测试平台（NEXTT）进行收集。它捕捉了多样化的信号条件和动态的信道使用情况。此外，该数据集还包括了具有不同调制类型和强度信号的广泛范围，以及通过将IQ样本转换到频域得到的地真实数据。规模上，数据集超过123TB（经处理后的10000个样本缩减至34GB）。其任务是对宽带信号进行分割。

This dataset is a real-world spectral dataset containing over 123 TB of wideband IQ sample data, which has been collected since 2020 via the Nebraska Experimental IoT Testbed (NEXTT). It captures diverse signal conditions and dynamic channel usage scenarios. Additionally, this dataset covers a wide range of signals with different modulation types and signal strengths, as well as ground truth data obtained by converting IQ samples to the frequency domain. In terms of scale, the raw dataset exceeds 123 TB (after processing, 10,000 samples are reduced to 34 GB). The task associated with this dataset is wideband signal segmentation.