
URL pointing to the sample metadata file, which is smaller and for test, demonstration, and vignette purposes only
Source:R/metadata.R
SAMPLE_DATABASE_URL.RdURL pointing to the sample metadata file, which is smaller and for test, demonstration, and vignette purposes only
References
Shen, M., Y. Gao, N. Liu, D. Bhuva, M. Milton, J. Henao, J. Andrews, E. Yang, C. Zhan, N. Liu, S. Si, J. W. Hutchison, M. H. Shakeel, M. Morgan, A. T. Papenfuss, J. Iskander, J. M. Polo, and S. Mangiola. "cellNexus: Quality control, annotation, aggregation and analytical layers for the Human Cell Atlas data." bioRxiv (2026). doi:10.64898/2026.04.14.718336.
Examples
get_metadata(cloud_metadata = SAMPLE_DATABASE_URL, cache_directory = tempdir())
#> ℹ Downloading 1 file, totalling 0 GB
#> ℹ Downloading https://object-store.rc.nectar.org.au/v1/AUTH_06d6e008e3e642da99d806ba3ea629c5/cellNexus-metadata/sample_hca2024_v2.3.1.parquet to /tmp/RtmpHNRMD2/sample_hca2024_v2.3.1.parquet
#> duckdb is keeping downloaded extensions in a temporary directory:
#> ℹ /tmp/RtmpHNRMD2/duckdb/extensions
#> This is removed when the R session ends, so extensions are re-downloaded each session.
#> ℹ To keep them, point `options(duckdb.extension_directory =)` or the `DUCKDB_EXTENSION_DIRECTORY` environment variable at a permanent path.
#> # A query: ?? x 36
#> # Database: DuckDB 1.5.4 [unknown@Linux 6.17.0-1020-azure:R 4.6.1/:memory:]
#> cell_id dataset_id sample_id sample_ experiment___ run_from_cell_id
#> <dbl> <chr> <chr> <chr> <chr> <chr>
#> 1 15 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 2 16 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 3 17 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 4 18 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 5 19 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 6 20 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 7 14 842c6f5d-4a94-4eef-… 1119f482… 1119f4… "" NA
#> 8 2 842c6f5d-4a94-4eef-… 1f755b9b… 1f755b… "" NA
#> 9 3 842c6f5d-4a94-4eef-… 1f755b9b… 1f755b… "" NA
#> 10 4 842c6f5d-4a94-4eef-… 1f755b9b… 1f755b… "" NA
#> # ℹ more rows
#> # ℹ 30 more variables: sample_heuristic <chr>, age_days <int>,
#> # tissue_groups <chr>, nFeature_expressed_in_sample <int>, nCount_RNA <dbl>,
#> # empty_droplet <lgl>, cell_type_unified_ensemble <chr>, is_immune <lgl>,
#> # subsets_Mito_percent <int>, subsets_Ribo_percent <int>,
#> # high_mitochondrion <lgl>, high_ribosome <lgl>, scDblFinder.class <chr>,
#> # sample_chunk <int>, cell_chunk <int>, sample_pseudobulk_chunk <int>, …