Data from: Method of place cell classification determines the population of cells identified

Data from manuscript "Method of place cell classification determines the population of cells identified".Each zip file is one session, with the filename indicating the mouse name and the date of recording (i.e. mouse_date.zip). Each zip file contains a mat-file called 'Fall.mat'. This was generated by using Suite2P1 on the recordings, which were recorded at 7.51 fps. Within this, F represents the fluorescence traces (ROIs by timepoints), and Fneu represents the neuropil fluorescence traces (ROIs by timepoints). We calculated the fluorescence using: F-0.7*Fneu. For more information on the Suite2P outputs see: https://suite2p.readthedocs.io/en/latest/outputs.htmlThe zip files also contain a mat-file called 'locomotion.mat'. This contains the location trace for each session, scaled between 0-1. The length of the track was 200 cm, so in order to get the location in cm, one can simply do: loco * 200. 1. Pachitariu, Marius, et al. "Suite2p: beyond 10,000 neurons with standard two-photon microscopy." Biorxiv (2017).本数据集源自手稿《位置细胞分类方法决定所鉴定的细胞群体》（英文原标题："Method of place cell classification determines the population of cells identified"）。 每个压缩包对应一次记录会话，文件名由小鼠名称与记录日期组成，命名格式为mouse_date.zip。 每个压缩包内均包含名为Fall.mat的MATLAB数据文件，该文件通过Suite2P对帧率为7.51 fps的神经记录数据进行处理生成。其中，F代表荧光轨迹矩阵（行对应感兴趣区(Region of Interest, ROI)，列对应时间点），Fneu代表神经毡荧光轨迹矩阵（行对应感兴趣区，列对应时间点）。我们通过公式F - 0.7×Fneu计算得到校正后的荧光信号。如需了解Suite2P输出文件的更多细节，可参考官方文档：https://suite2p.readthedocs.io/en/latest/outputs.html。 压缩包内还包含名为locomotion.mat的MATLAB数据文件，其中存储了本次会话的位置轨迹数据，数值已归一化至0-1区间。该轨迹对应的赛道总长为200 cm，因此若需获取以厘米为单位的实际位置，可通过公式loco * 200进行转换。 1. Pachitariu, Marius, 等. Suite2P：基于常规双光子显微镜的万级神经元记录分析。预印本平台BioRxiv, 2017。