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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 9 new columns ({'disease_context', 'ready_for_feature_validation', 'files_provided', 'ready_for_raw_adapter', 'notes', 'tissue', 'species', 'files_missing', 'expected_level'}) and 15 missing columns ({'n_healthy', 'source_url', 'limitation', 'n_features', 'supports_ndd_claim', 'next_action', 'supports_primary_claim', 'n_case', 'accession', 'case_group', 'validation_strength', 'n_samples', 'feature_level', 'evidence_type', 'n_donors'}).
This happened while the csv dataset builder was generating data using
hf://datasets/yashvir/olfactory-regenerative-age-data/results/tables/external_validation_summary.tsv (at revision 7c1c5b308e368704ed288165056b8255dc92a5ea), ['hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/external_validation_evidence.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/external_validation_summary.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/manuscript_table_external_validation_strength.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/perturbation_validation_candidate_matrix.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/perturbation_validation_search_log.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_full_4m_reduced_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_latent_validation_comparison.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_lineage_basal_neural_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_pilot_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_scaled_250k_seed23_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_scaled_250k_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_candidate_matrix.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_marker_panel.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_readout_plan.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_search_log.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
dataset_id: string
title: string
status: string
validation_use: string
species: string
tissue: string
disease_context: string
expected_level: string
files_provided: string
files_missing: string
ready_for_feature_validation: bool
ready_for_raw_adapter: bool
readiness_class: string
notes: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2013
to
{'dataset_id': Value('string'), 'title': Value('string'), 'accession': Value('string'), 'validation_use': Value('string'), 'evidence_type': Value('string'), 'feature_level': Value('string'), 'readiness_class': Value('string'), 'status': Value('string'), 'validation_strength': Value('string'), 'n_samples': Value('float64'), 'n_donors': Value('float64'), 'n_healthy': Value('float64'), 'n_case': Value('float64'), 'case_group': Value('string'), 'n_features': Value('float64'), 'supports_primary_claim': Value('string'), 'supports_ndd_claim': Value('string'), 'limitation': Value('string'), 'next_action': Value('string'), 'source_url': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 9 new columns ({'disease_context', 'ready_for_feature_validation', 'files_provided', 'ready_for_raw_adapter', 'notes', 'tissue', 'species', 'files_missing', 'expected_level'}) and 15 missing columns ({'n_healthy', 'source_url', 'limitation', 'n_features', 'supports_ndd_claim', 'next_action', 'supports_primary_claim', 'n_case', 'accession', 'case_group', 'validation_strength', 'n_samples', 'feature_level', 'evidence_type', 'n_donors'}).
This happened while the csv dataset builder was generating data using
hf://datasets/yashvir/olfactory-regenerative-age-data/results/tables/external_validation_summary.tsv (at revision 7c1c5b308e368704ed288165056b8255dc92a5ea), ['hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/external_validation_evidence.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/external_validation_summary.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/manuscript_table_external_validation_strength.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/perturbation_validation_candidate_matrix.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/perturbation_validation_search_log.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_full_4m_reduced_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_latent_validation_comparison.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_lineage_basal_neural_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_pilot_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_scaled_250k_seed23_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/scvi_scaled_250k_validation.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_candidate_matrix.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_marker_panel.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_readout_plan.tsv', 'hf://datasets/yashvir/olfactory-regenerative-age-data@7c1c5b308e368704ed288165056b8255dc92a5ea/results/tables/spatial_validation_search_log.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
dataset_id string | title string | accession string | validation_use string | evidence_type string | feature_level string | readiness_class string | status string | validation_strength string | n_samples null | n_donors null | n_healthy null | n_case null | case_group string | n_features null | supports_primary_claim string | supports_ndd_claim string | limitation string | next_action string | source_url string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
durante_2020 | Human olfactory mucosa lineage reference | null | lineage marker and trajectory-order validation | configured_dataset | single_cell | blocked_metadata | metadata_pending | blocked | null | null | null | null | null | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | GSE184117 | aging and presbyosmia feature replication | configured_dataset | single_cell | ready_raw_adapter | download_ready | candidate_after_cell_mapping | null | null | null | null | presbyosmia | null | candidate_after_adapter | no | Raw expression and metadata are available, but Gateway-compatible donor features are not built yet. | Resolve cell labels or reference-map raw cells, then emit donor composition/module features. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184117 |
fodoulian_2020 | A gateway for SARS-CoV-2 infection in the human olfactory neuroepithelium | GSE151973 | bulk olfactory versus respiratory epithelium marker sanity check | configured_dataset | bulk_rnaseq | marker_only | download_ready_bulk_reference | marker_context_only | null | null | null | null | null | null | context_only | context_only | Bulk tissue data cannot validate donor-level single-cell ORA features. | Use for olfactory/respiratory marker sanity checks only. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151973 |
brann_2020 | Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia | GSE151346 | mouse olfactory epithelium cell-state and regeneration-module context; not human donor-level ORA validation | configured_dataset | single_cell | blocked_missing_files | cross_species_context_only | blocked | null | null | null | null | null | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151346 |
kim_2026_long_covid_olfactory_gex | Analysis of local mucosal immune dysregulation to guide pilot directed therapy for long-COVID olfactory loss [5 prime GEX] | GSE290883 | human olfactory-biopsy long-COVID/hyposmia single-cell context; not healthy-aging ORA validation | configured_dataset | single_cell | blocked_file_pending | download_ready_context | blocked | null | null | null | null | null | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE290883 |
kim_2026_long_covid_olfactory_tcr | Analysis of local mucosal immune dysregulation to guide pilot directed therapy for long-COVID olfactory loss [TCR-seq] | GSE290884 | paired TCR immune-context evidence for long-COVID olfactory loss; not ORA feature validation | configured_dataset | single_cell_tcr | blocked_file_pending | download_ready_context | blocked | null | null | null | null | null | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE290884 |
janssens_2025_pd_hyposmia_brain | Rescuing early Parkinson-induced hyposmia prevents dopaminergic system failure [human] | GSE235330 | PD hyposmia brain-region context; not olfactory epithelial ORA validation | configured_dataset | single_nucleus_brain | blocked_file_pending | download_ready_context | blocked | null | null | null | null | pd | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE235330 |
cartas_2026_nasal_sirt3_abeta | Multi-omics characterization of SIRT3 metabolism and its adaptation to presence of amyloid-beta oligomers in nasal epithelial cells | GSE324335 | nasal epithelial Abeta/SIRT3 perturbation context; not donor-level ORA validation | configured_dataset | bulk_rnaseq_cell_culture | marker_only | cell_culture_context_only | marker_context_only | null | null | null | null | null | null | context_only | context_only | Bulk tissue data cannot validate donor-level single-cell ORA features. | Use for olfactory/respiratory marker sanity checks only. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324335 |
danniballe_2026 | Alzheimer's olfactory biopsy validation | null | AD olfactory disease projection and DE validation | configured_dataset | single_cell_or_spatial | blocked_metadata | metadata_pending | blocked | null | null | null | null | ad | null | no | no | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | GSE184117 | aging and presbyosmia feature replication | raw_10x_sample_module_scores | sample_module | sanity_check_generated | descriptive_small_n | descriptive_sanity_only | null | null | null | null | presbyosmia | null | sanity_only | no | Sample-level 10x module scores; n=3 versus n=3 and public cell labels are unavailable. | Resolve cell labels or reference-map cells before donor-level ORA feature replication. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184117 |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | GSE184117 | aging and presbyosmia feature replication | raw_10x_marker_only_composition | marker_panel_fraction | sanity_check_generated | marker_only_small_n | marker_only_sanity | null | null | null | null | presbyosmia | null | sanity_only | no | Marker-only coarse composition; useful for direction checks, not a substitute for cell labels. | Use reference mapping or manual annotation to convert raw cells into Gateway-compatible states. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184117 |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | GSE184117 | aging and presbyosmia feature replication | raw_10x_marker_reference_mapped_features | donor_sample_composition_features | feature_ready_marker_reference | small_n_mapped_features | mapped_feature_candidate | null | null | null | null | presbyosmia | null | candidate_after_replication_test | no | Marker-reference mapped cell states from 6 biopsy samples; superseded by scANVI/scArches mapping for label transfer. | Use as a conservative baseline against scANVI/scArches mapping. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184117 |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | GSE184117 | aging and presbyosmia feature replication | raw_10x_scanvi_scarches_mapped_features | donor_sample_composition_features | feature_ready_scanvi_scarches | small_n_mapped_features | scanvi_mapped_feature_candidate | null | null | null | null | presbyosmia | null | candidate_after_replication_test | no | scANVI/scArches-mapped cell states from 6 biopsy samples; true reference transfer is now available, but n=3 versus n=3 keeps claims small-n. | Compare mapped-feature directions with Gateway aging and expand independent donor-level validation. | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE184117 |
durante_2020 | Human olfactory mucosa lineage reference | null | lineage marker and trajectory-order validation | null | null | blocked_metadata | metadata_pending | null | null | null | null | null | null | null | null | null | null | null | null |
oliva_2022 | Aging-related olfactory loss is associated with olfactory stem cell transcriptional alterations in humans | null | aging and presbyosmia feature replication | null | null | ready_raw_adapter | download_ready | null | null | null | null | null | null | null | null | null | null | null | null |
fodoulian_2020 | A gateway for SARS-CoV-2 infection in the human olfactory neuroepithelium | null | bulk olfactory versus respiratory epithelium marker sanity check | null | null | marker_only | download_ready_bulk_reference | null | null | null | null | null | null | null | null | null | null | null | null |
brann_2020 | Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia | null | mouse olfactory epithelium cell-state and regeneration-module context; not human donor-level ORA validation | null | null | blocked_missing_files | cross_species_context_only | null | null | null | null | null | null | null | null | null | null | null | null |
kim_2026_long_covid_olfactory_gex | Analysis of local mucosal immune dysregulation to guide pilot directed therapy for long-COVID olfactory loss [5 prime GEX] | null | human olfactory-biopsy long-COVID/hyposmia single-cell context; not healthy-aging ORA validation | null | null | blocked_file_pending | download_ready_context | null | null | null | null | null | null | null | null | null | null | null | null |
kim_2026_long_covid_olfactory_tcr | Analysis of local mucosal immune dysregulation to guide pilot directed therapy for long-COVID olfactory loss [TCR-seq] | null | paired TCR immune-context evidence for long-COVID olfactory loss; not ORA feature validation | null | null | blocked_file_pending | download_ready_context | null | null | null | null | null | null | null | null | null | null | null | null |
janssens_2025_pd_hyposmia_brain | Rescuing early Parkinson-induced hyposmia prevents dopaminergic system failure [human] | null | PD hyposmia brain-region context; not olfactory epithelial ORA validation | null | null | blocked_file_pending | download_ready_context | null | null | null | null | null | null | null | null | null | null | null | null |
cartas_2026_nasal_sirt3_abeta | Multi-omics characterization of SIRT3 metabolism and its adaptation to presence of amyloid-beta oligomers in nasal epithelial cells | null | nasal epithelial Abeta/SIRT3 perturbation context; not donor-level ORA validation | null | null | marker_only | cell_culture_context_only | null | null | null | null | null | null | null | null | null | null | null | null |
danniballe_2026 | Alzheimer's olfactory biopsy validation | null | AD olfactory disease projection and DE validation | null | null | blocked_metadata | metadata_pending | null | null | null | null | null | null | null | null | null | null | null | null |
brann_2020 | null | GSE151346 | null | configured_dataset | single_cell | blocked_missing_files | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
cartas_2026_nasal_sirt3_abeta | null | GSE324335 | null | configured_dataset | bulk_rnaseq_cell_culture | marker_only | null | marker_context_only | null | null | null | null | null | null | context_only | null | Bulk tissue data cannot validate donor-level single-cell ORA features. | Use for olfactory/respiratory marker sanity checks only. | null |
danniballe_2026 | null | null | null | configured_dataset | single_cell_or_spatial | blocked_metadata | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
durante_2020 | null | null | null | configured_dataset | single_cell | blocked_metadata | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
fodoulian_2020 | null | GSE151973 | null | configured_dataset | bulk_rnaseq | marker_only | null | marker_context_only | null | null | null | null | null | null | context_only | null | Bulk tissue data cannot validate donor-level single-cell ORA features. | Use for olfactory/respiratory marker sanity checks only. | null |
janssens_2025_pd_hyposmia_brain | null | GSE235330 | null | configured_dataset | single_nucleus_brain | blocked_file_pending | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
kim_2026_long_covid_olfactory_gex | null | GSE290883 | null | configured_dataset | single_cell | blocked_file_pending | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
kim_2026_long_covid_olfactory_tcr | null | GSE290884 | null | configured_dataset | single_cell_tcr | blocked_file_pending | null | blocked | null | null | null | null | null | null | no | null | Required expression, metadata, or donor-feature files are not available locally. | Add source files, access notes, or a donor-feature matrix before validation. | null |
oliva_2022 | null | GSE184117 | null | configured_dataset | single_cell | ready_raw_adapter | null | candidate_after_cell_mapping | null | null | null | null | null | null | candidate_after_adapter | null | Raw expression and metadata are available, but Gateway-compatible donor features are not built yet. | Resolve cell labels or reference-map raw cells, then emit donor composition/module features. | null |
oliva_2022 | null | GSE184117 | null | raw_10x_marker_only_composition | marker_panel_fraction | sanity_check_generated | null | marker_only_sanity | null | null | null | null | null | null | sanity_only | null | Marker-only coarse composition; useful for direction checks, not a substitute for cell labels. | Use reference mapping or manual annotation to convert raw cells into Gateway-compatible states. | null |
oliva_2022 | null | GSE184117 | null | raw_10x_marker_reference_mapped_features | donor_sample_composition_features | feature_ready_marker_reference | null | mapped_feature_candidate | null | null | null | null | null | null | candidate_after_replication_test | null | Marker-reference mapped cell states from 6 biopsy samples; superseded by scANVI/scArches mapping for label transfer. | Use as a conservative baseline against scANVI/scArches mapping. | null |
oliva_2022 | null | GSE184117 | null | raw_10x_sample_module_scores | sample_module | sanity_check_generated | null | descriptive_sanity_only | null | null | null | null | null | null | sanity_only | null | Sample-level 10x module scores; n=3 versus n=3 and public cell labels are unavailable. | Resolve cell labels or reference-map cells before donor-level ORA feature replication. | null |
oliva_2022 | null | GSE184117 | null | raw_10x_scanvi_scarches_mapped_features | donor_sample_composition_features | feature_ready_scanvi_scarches | null | scanvi_mapped_feature_candidate | null | null | null | null | null | null | candidate_after_replication_test | null | scANVI/scArches-mapped cell states from 6 biopsy samples; true reference transfer is now available, but n=3 versus n=3 keeps claims small-n. | Compare mapped-feature directions with Gateway aging and expand independent donor-level validation. | null |
null | scRNA-seq reveals persistent aberrant differentiation of nasal epithelium driven by TNF-alpha and TGF-beta in post-COVID syndrome | GSE299529 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE299529 |
null | Analysis of SARS-CoV-2 replication using human nasal organoids comprising olfactory and respiratory epithelium | GSE309325 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309325 |
null | Rhinovirus triggers distinct host responses through differential engagement of epithelial innate immune signaling | GSE286616 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE286616 |
null | RSV nonstructural protein 1 inhibits secretion of cytokines and chemokines by differentiated primary nasal epithelial cells cultured at air-liquid interface | GSE309353 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309353 |
null | RNA-Seq analysis of differentially expressed genes in UPM-exposed epithelium co-cultivated with macrophages and dendritic cells | GSE175541 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE175541 |
null | Multi-omics characterization of SIRT3 metabolism and its adaptation to the presence of amyloid-beta oligomers in nasal epithelial cells | GSE324335 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324335 |
null | Airway epithelial hyperactivation of JAK-STAT signaling impairs type-III IFN responses during RSV infection in Down Syndrome | GSE271245 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE271245 |
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null | null | null | null | null | null | null | scaled_qc_seed_pending | null | null | null | null | null | null | null | null | null | null | null | null |
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null | null | null | null | null | null | null | scaled_qc_seed_pending | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | scaled_qc_seed_pending | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | scaled_qc_seed_pending | null | null | null | null | null | null | null | null | null | null | null | null |
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End of preview.
Olfactory regenerative aging derived data
Processed datasets, trained project models, tables, figures, and reports from a donor-level analysis of olfactory regenerative aging in the Gateway human olfactory epithelium atlas.
Code and reproduction commands are maintained at
https://github.com/yashvirsabharwal/olfactory-regenerative-age. The primary
Gateway source is DOI 10.64898/2026.06.10.731272 and CELLxGENE collection
8b35aa1f-6bcf-4a51-abc3-a3f336a44ae6.
The 27.65 GB upstream Gateway H5AD and other re-downloadable source archives are
not duplicated. Derived artifacts may contain donor-level annotations; reuse
must follow the source dataset's terms and responsible human-data practices.
The repository-level other license reflects mixed provenance.
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