Nunez_PBMCs

This dataset contains full spectrum flow cytometry data from the SARS-CoV-2 vaccine study by Nuñez, Schmid & Power et al. (Nature Immunology, 2023; https://doi.org/10.1038/s41590-023-01499-w). The data were generated using a single antibody panel measuring 35 protein markers, along with morphological parameters including forward and side scatter (FSC and SSC).
For the purposes of this tutorial, we provide a curated subset of the original dataset comprising one donor who was measured in two independent experimental batches. This donor served as an internal batch normalization control in the original publication.
The data have already been preprocessed to correct for fluorescent spillover, and only live, single-cell events were exported. This ensures that the dataset is ready for downstream analysis and integration benchmarking.

本数据集包含Nuñez、Schmid与Power等人2023年发表于《自然·免疫学（Nature Immunology）》的新型冠状病毒（SARS-CoV-2）疫苗研究中的全谱流式细胞术（full spectrum flow cytometry）数据，原文DOI链接：https://doi.org/10.1038/s41590-023-01499-w。该数据通过单一抗体检测面板生成，可同时检测35种蛋白标志物，并采集了包括前向散射光（FSC）与侧向散射光（SSC）在内的形态学参数。

为适配本教程需求，我们从原始数据集中提取了经整理筛选的子集：仅包含1名受试者，该受试者在两个独立实验批次中接受了检测，其在原研究中被用作内部批次标准化对照。

本数据集已完成预处理，校正了荧光溢漏（fluorescent spillover），且仅导出活的单细胞事件数据，可直接用于下游分析与整合基准测试。