lamindb.dev.datasets

Test datasets.

file_fcs()	Example FCS file.
file_fcs_alpert19([populate_registries])	FCS file from Alpert19.
file_tsv_rnaseq_nfcore_salmon_merged_gene_counts([...])	Gene counts table from nf-core RNA-seq pipeline.
file_jpg_paradisi05()	Return jpg file example.
file_tiff_suo22()	Image file from Suo22.
file_fastq([in_storage_root])	Mini mock fastq file.
file_bam([in_storage_root])	Mini mock bam file.
file_mini_csv([in_storage_root])	Mini csv file.
dir_scrnaseq_cellranger(sample_name[, ...])	Generate mock cell ranger outputs.
dir_iris_images()	Directory with 3 studies of the Iris flower: 405 images & metadata.
df_iris()	The iris dataset as in sklearn.
df_iris_in_meter()	The iris dataset with lengths in meter.
df_iris_in_meter_study1()	The iris dataset with lengths in meter.
df_iris_in_meter_study2()	The iris dataset with lengths in meter.
anndata_mouse_sc_lymph_node([...])	Mouse lymph node scRNA-seq dataset from EBI.
anndata_human_immune_cells([populate_registries])	Cross-tissue immune cell analysis reveals tissue-specific features in humans.
anndata_pbmc68k_reduced()	Modified from scanpy.datasets.pbmc68k_reduced().
anndata_file_pbmc68k_test()	Modified from scanpy.datasets.pbmc68k_reduced().
anndata_pbmc3k_processed()	Modified from scanpy.pbmc3k_processed().
anndata_with_obs()	Create a mini anndata with cell_type, disease and tissue.
anndata_suo22_Visium10X()	AnnData from Suo22 generated by 10x Visium.
mudata_papalexi21_subset()	A subsetted mudata from papalexi21.
schmidt22_crispra_gws_IFNG([basedir])	CRISPRi screen dataset of Schmidt22.
schmidt22_perturbseq([basedir])	Perturb-seq dataset of Schmidt22.
fake_bio_notebook_titles([n])	A fake collection of study titles.