idc-index-data 24.2.2 (16 configs; card review fixes)

README.md

@@ -37,8 +37,6 @@ configs:
     data_files: ct_index.parquet
   - config_name: mr_index
     data_files: mr_index.parquet
-  - config_name: prior_versions_index
-    data_files: prior_versions_index.parquet
   - config_name: pt_index
     data_files: pt_index.parquet
   - config_name: rtstruct_index
@@ -72,9 +70,12 @@ configs:
 **This dataset is a catalog. It contains metadata and cloud locations for every
 DICOM series in the NCI Imaging Data Commons; it does not contain pixel data.**
 
-[IDC](https://imaging.datacommons.cancer.gov/) is an NCI Cancer Research Data
-Commons repository of publicly available cancer imaging data, co-located with
-analysis tools in the cloud. This catalog describes IDC v24 (released 2026-04-16):
+[IDC](https://portal.imaging.datacommons.cancer.gov) is an NCI Cancer
+Research Data Commons repository of publicly available cancer imaging data,
+co-located with analysis tools in the cloud. To explore it interactively
+instead, use the [IDC portal](https://portal.imaging.datacommons.cancer.gov/explore/).
+
+This catalog describes IDC v24 (released 2026-04-16):
 **1,032,911 series** across 166,740 studies,
 85,362 patients and 176 collections,
 totalling **99.3 TB** of imaging data.
@@ -95,7 +96,13 @@ downstream tools assume it exists. It carries no train/test meaning.
 
 ## Quickstart
 
-Filter the catalog, then fetch the imaging data with `idc-index`:
+```bash
+pip install datasets idc-index
+```
+
+`datasets` reads this catalog;
+[`idc-index`](https://pypi.org/project/idc-index/) is the client that downloads
+the DICOM files it points at. Filter here, download there:
 
 ```python
 from datasets import load_dataset
@@ -107,7 +114,8 @@ sel = idx.filter(
 
 from idc_index import IDCClient
 
-IDCClient().download_from_selection(
+client = IDCClient()
+client.download_from_selection(
     seriesInstanceUID=sel["SeriesInstanceUID"], downloadDir="./idc_data"
 )
 ```
@@ -116,7 +124,14 @@ Downloads come directly from IDC's public AWS and GCS buckets at no cost to you.
 What lands on disk is DICOM; read it with [pydicom](https://pydicom.github.io/)
 or [highdicom](https://highdicom.readthedocs.io/).
 
-Query it without downloading anything, using DuckDB:
+To look at a series before downloading it, get a viewer link for it. This picks
+the right viewer for the modality -- OHIF for radiology, slim for microscopy:
+
+```python
+print(client.get_viewer_URL(seriesInstanceUID=sel["SeriesInstanceUID"][0]))
+```
+
+Query the catalog without downloading anything, using DuckDB:
 
 ```sql
 SELECT collection_id, COUNT(*) AS series, SUM(series_size_MB) / 1e6 AS size_TB
@@ -141,7 +156,6 @@ Each index is a separate config (subset). Load one with the `name` argument of `
 | `contrast_index` | 63,576 | 1.1 MB | This table contains one row per DICOM series that has contrast agent information. It captures contrast bolus metadata from CT, MR, PT, XA, and RF imaging modalities, including the agent name, ingredient, and administration route. Only series with at least one non-null contrast attribute are included. This table can be joined with the main idc_index table using the SeriesInstanceUID column. |
 | `ct_index` | 266,232 | 6.3 MB | This table contains one row per CT Image Storage (SOPClassUID 1.2.840.10008.5.1.4.1.1.2) DICOM series in IDC, capturing acquisition and reconstruction parameters that are not included in the main idc_index table. The index can be joined to idc_index on SeriesInstanceUID to combine universal series metadata with CT-specific acquisition parameters. For XRayTubeCurrent, Exposure, and ExposureTime — which vary across instances within a series due to dose modulation — both min and max values are reported. All other attributes are aggregated with ANY_VALUE (one representative instance). |
 | `mr_index` | 123,481 | 2.9 MB | This table contains one row per MR Image Storage (SOPClassUID 1.2.840.10008.5.1.4.1.1.4) DICOM series in IDC, capturing MR acquisition and sequence parameters that are not included in the main idc_index table. The index can be joined to idc_index on SeriesInstanceUID to combine universal series metadata with MR-specific acquisition parameters. EchoTime and DiffusionBValue are reported as arrays of all distinct per-instance values because they legitimately differ across instances within multi-echo and diffusion-weighted series respectively. All other attributes are aggregated with ANY_VALUE (one representative instance). |
-| `prior_versions_index` | 61,125 | 4.3 MB | One row per DICOM series that was present in an earlier IDC version but is no longer in the current one. `min_idc_version` and `max_idc_version` give the range of IDC versions the series appeared in, and the bucket and URL columns let you retrieve it. Use this to resolve series referenced by older work that the current release no longer indexes. Column-level descriptions are not available upstream for this index. |
 | `pt_index` | 4,865 | 0.3 MB | This table contains one row per Positron Emission Tomography Image Storage (SOPClassUID 1.2.840.10008.5.1.4.1.1.128) DICOM series in IDC, capturing PET acquisition, reconstruction and radiopharmaceutical parameters that are not included in the main idc_index table. The index can be joined to idc_index on SeriesInstanceUID to combine universal series metadata with PET-specific acquisition parameters. ActualFrameDuration is reported as an array of all distinct per-instance values because it legitimately varies across frames in dynamic (multi-frame) PET acquisitions. All other attributes are constant within a series and are aggregated with ANY_VALUE. |
 | `rtstruct_index` | 19,358 | 0.4 MB | This table contains one row per DICOM RT Structure Set (RTSTRUCT) SeriesInstanceUID available from IDC, and captures key metadata about the structure set including the number of ROIs, ROI names, generation algorithms, interpreted types, and the referenced image series. Note: multi-valued columns (ROINames, ROIGenerationAlgorithms, RTROIInterpretedTypes) are aggregated with DISTINCT independently, so positional correspondence between columns is not preserved. |
 | `seg_index` | 190,146 | 6.5 MB | This table contains one row per DICOM Segmentation SeriesInstanceUID available from IDC, and captures key metadata about the segmentation series including the number of segments, segmentation type, algorithm type and name, and the segmented image series. Note: multi-valued columns (AlgorithmType, AlgorithmName, SegmentedPropertyCategory_CodeMeanings, etc.) are aggregated with DISTINCT independently, so positional correspondence between columns is not preserved. For example, the first value in AlgorithmType does not necessarily pair with the first value in AlgorithmName. |
@@ -206,7 +220,6 @@ Every other config is described by a `<config>_schema.json` sidecar in this repo
 | `contrast_index` | 4 | [`contrast_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/contrast_index_schema.json) |
 | `ct_index` | 21 | [`ct_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/ct_index_schema.json) |
 | `mr_index` | 22 | [`mr_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/mr_index_schema.json) |
-| `prior_versions_index` | 13 | [`prior_versions_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/prior_versions_index_schema.json) |
 | `pt_index` | 21 | [`pt_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/pt_index_schema.json) |
 | `rtstruct_index` | 6 | [`rtstruct_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/rtstruct_index_schema.json) |
 | `seg_index` | 9 | [`seg_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/seg_index_schema.json) |
@@ -327,9 +340,10 @@ and this card are ever written or removed by the publishing job.
 
 ## Links
 
-- [IDC portal](https://imaging.datacommons.cancer.gov/) -- browse and build cohorts
+- [IDC portal](https://portal.imaging.datacommons.cancer.gov/explore/) -- browse the data and build cohorts interactively
+- [IDC viewer](https://viewer.imaging.datacommons.cancer.gov/) -- view images in the browser; get per-series links with `IDCClient.get_viewer_URL()`
 - [IDC documentation](https://learn.canceridc.dev/)
-- [`idc-index` Python package](https://github.com/ImagingDataCommons/idc-index) -- the download client
+- [`idc-index` Python package](https://github.com/ImagingDataCommons/idc-index) -- the download client (`pip install idc-index`)
 - [`idc-index-data` on GitHub](https://github.com/ImagingDataCommons/idc-index-data) -- how these tables are built (SQL included)
 - [GCS mirror of the release artifacts](https://storage.googleapis.com/idc-index-data-artifacts?prefix=current/release_artifacts/)
   -- fetch a single file directly, e.g.

analysis_results_index.parquet

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clinical_index.parquet

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collections_index.parquet

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contrast_index.parquet

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idc_index.parquet

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prior_versions_index.parquet

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prior_versions_index_schema.json

@@ -1,82 +0,0 @@
-{
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-      "name": "collection_id",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "PatientID",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "SeriesInstanceUID",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "StudyInstanceUID",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "Modality",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "gcs_bucket",
-      "type": "STRING",
-      "mode": "NULLABLE",
-      "description": ""
-    },
-    {
-      "name": "crdc_series_uuid",
-      "type": "STRING",
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-      "description": ""
-    },
-    {
-      "name": "series_size_MB",
-      "type": "FLOAT",
-      "mode": "NULLABLE",
-      "description": ""
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-    {
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-      "type": "STRING",
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-      "type": "STRING",
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-    {
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-      "description": ""
-    }
-  ]
-}

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