Open OrcunSamiTandogan opened 2 years ago
Hi @e253503, unfortunately, this is a non-public meta data file that was not published by the authors, you will need to email the authors of the study that published the data set and ask them for this file if you want to use this data set (if not, just counterselect it before running download or load).
When I run
dss.download()
I get this error:
/mnt/4AB6E404B6E3EE7F/Users/Ubuntu_2/Anaconda_3/envs/test_env17/lib/python3.8/site-packages/sfaira/data/dataloaders/base/dataset.py:286: UserWarning: Dataset human_blood_2019_10x3transcriptionprofiling_szabo_013_10.1038/s41467-019-12464-3 is not available for automatic download, please manually copy the file donor1.annotation.txt to the following location: /mnt/4AB6E404B6E3EE7F/Users/Asus/Desktop/Storage_Ubuntu/data_repo/raw/d10_1038_s41467_019_12464_3
I don`t know where is that donor1.annotation.txt. I searched that in folders, but there is none. Before the dss.download, full script is here:
` import sfaira import os
. # Set this path to your local sfaira data repository basedir = '/mnt/4AB6E404B6E3EE7F/Users/Asus/Desktop/Storage_Ubuntu/data_repo' os.chdir(basedir) os.getcwd()
datadir = os.path.join(basedir, 'raw') metadir = os.path.join(basedir, 'meta') cachedir = os.path.join(basedir, 'cache')
.# Here we choose human eye: .# The DatasetGroupPancreas contains instances of Dataset which correspond to individual data sets. dss = sfaira.data.Universe(data_path=datadir, meta_path=metadir, cache_path=cachedir) # This links all data sets available dss.subset(key="organism", values=["human"]) # Subset to all human datasets dss.show_summary() dss.subset(key="organ", values=["blood"]) # Subset further to blood
`