idc-index-data 24.2.2

README.md

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+---
+pretty_name: NCI Imaging Data Commons (IDC) index
+license:
+  - cc-by-4.0
+  - cc-by-3.0
+  - cc-by-nc-4.0
+  - cc-by-nc-3.0
+language:
+  - en
+tags:
+  - medical
+  - cancer
+  - dicom
+  - radiology
+  - pathology
+  - catalog
+  - imaging-data-commons
+size_categories:
+  - 1M<n<10M
+configs:
+  - config_name: idc_index
+    data_files: idc_index.parquet
+    default: true
+  - config_name: analysis_results_index
+    data_files: analysis_results_index.parquet
+  - config_name: ann_group_index
+    data_files: ann_group_index.parquet
+  - config_name: ann_index
+    data_files: ann_index.parquet
+  - config_name: clinical_index
+    data_files: clinical_index.parquet
+  - config_name: collections_index
+    data_files: collections_index.parquet
+  - config_name: contrast_index
+    data_files: contrast_index.parquet
+  - config_name: ct_index
+    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
+    data_files: rtstruct_index.parquet
+  - config_name: seg_index
+    data_files: seg_index.parquet
+  - config_name: sm_index
+    data_files: sm_index.parquet
+  - config_name: sm_instance_index
+    data_files: sm_instance_index.parquet
+  - config_name: version_metadata_index
+    data_files: version_metadata_index.parquet
+  - config_name: volume_geometry_index
+    data_files: volume_geometry_index.parquet
+---
+
+<!--
+  GENERATED FILE -- DO NOT EDIT ON THE HUB.
+
+  This card, YAML front matter included, is regenerated from the release
+  artifacts and committed over whatever is here on every publish. Edits made
+  through the Hub UI, and community pull requests merged into it, are reverted
+  by the next publish without warning.
+
+  Change the generator instead:
+  https://github.com/ImagingDataCommons/idc-index-data/blob/main/scripts/hf/generate_dataset_card.py
+-->
+
+# NCI Imaging Data Commons (IDC) index
+
+**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):
+**1,032,911 series** across 166,740 studies,
+85,362 patients and 176 collections,
+totalling **99.3 TB** of imaging data.
+
+One row is one DICOM series, with its collection, patient, study and series
+attributes, its license and source DOI, and the S3 URL to fetch it from. Use it
+to find the data you want here, then download only that -- the alternative is
+sifting through 99 TB.
+
+These are the same Parquet files published with each
+[idc-index-data release](https://github.com/ImagingDataCommons/idc-index-data/releases), republished here for the
+dataset viewer, the SQL Console, automatic
+[Croissant](https://huggingface.co/docs/dataset-viewer/en/croissant) metadata,
+and a citable, versioned record you can pin.
+
+Every config has a single split named `train`, the Hub default, because many
+downstream tools assume it exists. It carries no train/test meaning.
+
+## Quickstart
+
+Filter the catalog, then fetch the imaging data with `idc-index`:
+
+```python
+from datasets import load_dataset
+
+idx = load_dataset("ImagingDataCommons/idc-index-data", "idc_index", split="train")
+sel = idx.filter(
+    lambda r: r["collection_id"] == "nsclc_radiomics" and r["Modality"] == "SEG"
+)
+
+from idc_index import IDCClient
+
+IDCClient().download_from_selection(
+    seriesInstanceUID=sel["SeriesInstanceUID"], downloadDir="./idc_data"
+)
+```
+
+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:
+
+```sql
+SELECT collection_id, COUNT(*) AS series, SUM(series_size_MB) / 1e6 AS size_TB
+FROM 'hf://datasets/ImagingDataCommons/idc-index-data/idc_index.parquet'
+GROUP BY 1 ORDER BY size_TB DESC LIMIT 10;
+```
+
+The same queries run in the **SQL Console** tab on this page, with no local setup.
+
+## Indices
+
+Each index is a separate config (subset). Load one with the `name` argument of `load_dataset`, or select it from the dropdown in the dataset viewer.
+
+| Config | Rows | Size | Description |
+|---|---:|---:|---|
+| `idc_index` (default) | 1,032,911 | 73.5 MB | This is the main metadata table provided by idc-index. Each row corresponds to a DICOM series, and contains attributes at the collection, patient, study, and series levels. The table also contains download-related attributes, such as the AWS S3 bucket and URL to download the series. |
+| `analysis_results_index` | 24 | 0.0 MB | This table contains metadata about the analysis results collections available in IDC. Each row corresponds to an analysis results collection, and contains attributes such as the collection name, types of cancer represented, number of subjects, and pointers to the resources to learn more about the content of the collection |
+| `ann_group_index` | 15,924 | 0.5 MB | This table contains detailed metadata about individual annotation groups within Microscopy Bulk Simple Annotations (ANN) series in IDC. Each row corresponds to a single annotation group, providing granular information about the graphic type, number of annotations, property codes, and algorithm details. This table can be joined with ann_index using SeriesInstanceUID for series-level context. Note: ANN series are assumed to contain a single instance. |
+| `ann_index` | 7,102 | 0.2 MB | This table contains metadata about the Microscopy Bulk Simple Annotations (ANN) series available in IDC. Each row corresponds to a DICOM series containing annotations, and includes attributes such as the annotation coordinate type and references to the annotated image series. For detailed group-level information (counts, graphic types, property codes), join with ann_group_index using SeriesInstanceUID. This table can be joined with the main idc_index table using the SeriesInstanceUID column. Note: ANN series are assumed to contain a single instance. |
+| `clinical_index` | 5,756 | 0.1 MB | This table contains metadata about the tabular data, including clinical data, accompanying images that is available in IDC. Think about this table as a dictionary containing information about the columns for all of the tabular data accompanying individual collections in IDC. Each row corresponds to a unique combination of collection, clinical data table that is available for that collection, and a column from that table. Individual tables referenced from this table can be retrieved using idc-index `get_clinical_table()` function. |
+| `collections_index` | 176 | 0.1 MB | This table contains metadata about the collections available in IDC. Each row corresponds to a collection, and contains attributes such as the collection name, types of cancer represented, number of subjects, and pointers to the resources to learn more about the content of the collection. |
+| `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. |
+| `sm_index` | 76,299 | 2.2 MB | This table contains metadata about the slide microscopy (SM) series available in IDC. Each row corresponds to a DICOM series, and contains attributes specific to SM series, such as the pixel spacing at the maximum resolution layer, the power of the objective lens used to digitize the slide, and the anatomic location from where the imaged specimen was collected. This table can be joined with the main index table using the `SeriesInstanceUID` column. |
+| `sm_instance_index` | 391,932 | 17.9 MB | This table contains metadata about the slide microscopy (SM) series available in IDC. Each row corresponds to an instance from a DICOM Slide Microscopy series available from IDC, identified by `SOPInstanceUID`, and contains attributes specific to SM series, such as the pixel spacing at the maximum resolution layer, the power of the objective lens used to digitize the slide, and the anatomic location from where the imaged specimen was collected. This table can be joined with the main index table and/or with `sm_index` using the `SeriesInstanceUID` column. |
+| `version_metadata_index` | 24 | 0.0 MB | This table contains metadata about each IDC data release version. Each row corresponds to one IDC version and captures when that version was created. This index can be used to correlate data in other indexes (which include idc_version columns) with the corresponding release timestamps. |
+| `volume_geometry_index` | 319,472 | 5.1 MB | This table contains one row per DICOM series from IDC for single-frame CT, MR, and PT SOP classes, with boolean columns characterizing the geometric properties of each series. The checks determine whether the series forms a regularly-spaced rectilinear 3D volume (consistent orientation, spacing, dimensions, and slice positions). Series that do not pass all checks may still be usable with additional processing such as resampling or acquisition geometry correction (e.g., for variable-spacing or gantry-tilted acquisitions). Oblique-aware: uses projection-based slice position computation, which handles gantry-tilted CT, oblique MR, and axial PET uniformly. |
+
+> [!NOTE]
+> `clinical_index` is a *dictionary* of the clinical tables and columns
+> available per collection -- not the clinical data itself. The clinical tables
+> are not among these artifacts; retrieve them with
+> `IDCClient.get_clinical_table()`.
+
+## Data fields
+
+Columns of `idc_index`, the default config:
+
+| Column | Type | Description |
+|---|---|---|
+| `collection_id` | STRING | short string with the identifier of the collection the series belongs to |
+| `analysis_result_id` | STRING | this string is not empty if the specific series is part of an analysis results collection; analysis results can be added to a given collection over time |
+| `PatientID` | STRING | identifier of the patient within the collection (DICOM attribute) |
+| `SeriesInstanceUID` | STRING |  |
+| `StudyInstanceUID` | STRING | unique identifier of the DICOM study (DICOM attribute) |
+| `source_DOI` | STRING | Digital Object Identifier of the dataset that contains the given series; follow this DOI to learn more about the activity that produced this series |
+| `PatientAge` | STRING | age of the subject at the time of imaging (DICOM attribute) |
+| `PatientSex` | STRING | subject sex (DICOM attribute) |
+| `StudyDate` | STRING | date of the study (de-identified) (DICOM attribute) |
+| `StudyDescription` | STRING | textual description of the study content (DICOM attribute) |
+| `BodyPartExamined` | STRING | body part imaged (not applicable for SM series) (DICOM attribute). For derived series (SEG, RTSTRUCT) this reflects the source acquisition, not the segmented anatomy -- what was segmented is recorded in the seg_index table (SegmentedPropertyType_CodeMeanings) and in rtstruct_index. |
+| `Modality` | STRING | acquisition modality (DICOM attribute) |
+| `SOPClassUID` | STRING | SOP Class UID identifying the type of DICOM object (e.g., CT Image Storage, Segmentation Storage); more specific than Modality for distinguishing object types (DICOM attribute) |
+| `sop_class_name` | STRING | human-readable name of the SOP Class (e.g., "CT Image Storage", "Segmentation Storage"); derived from SOPClassUID |
+| `TransferSyntaxUID` | STRING | Transfer Syntax UID identifying the encoding of the stored instances (e.g., Explicit VR Little Endian, JPEG 2000, HTJ2K); comma-separated when a series contains instances with different encodings, which is common for SM (DICOM attribute) |
+| `transfer_syntax_name` | STRING | human-readable name of the Transfer Syntax (e.g., "JPEG 2000", "Explicit VR Little Endian"); comma-separated when a series contains instances with different encodings; derived from TransferSyntaxUID |
+| `PhotometricInterpretation` | STRING | intended interpretation of the pixel data, e.g., MONOCHROME2 (grayscale), RGB or YBR_FULL_422 (color); NULL for non-image objects (e.g., SEG, SR, RTSTRUCT); comma-separated when a series contains instances with different values (DICOM attribute) |
+| `PixelRepresentation` | STRING | data representation of pixel sample values: "0" for unsigned integers, "1" for signed integers; NULL for non-image objects; comma-separated when a series contains instances with different values (DICOM attribute) |
+| `Manufacturer` | STRING | manufacturer of the equipment that produced the series (DICOM attribute) |
+| `ManufacturerModelName` | STRING | model name of the equipment that produced the series (DICOM attribute) |
+| `SeriesDate` | STRING | date of the series (de-identified) (DICOM attribute) |
+| `SeriesDescription` | STRING | textual description of the series content (DICOM attribute) |
+| `SeriesNumber` | STRING | series number (DICOM attribute) |
+| `instanceCount` | INTEGER | number of instances in the series |
+| `license_short_name` | STRING | short name of the license that applies to this series |
+| `series_init_idc_version` | INTEGER | IDC data release version number when this series first appeared in IDC (integer, e.g., 1 for v1) |
+| `series_revised_idc_version` | INTEGER | IDC data release version number when this series was most recently revised in IDC (integer, e.g., 24 for v24) |
+| `aws_bucket` | STRING | name of the AWS S3 bucket that contains the series |
+| `crdc_series_uuid` | STRING | unique identifier of the series within the IDC |
+| `series_aws_url` | STRING | public AWS S3 URL to download the series in bulk (each instance is a separate file) |
+| `series_size_MB` | FLOAT | total size of the series in megabytes |
+
+Every other config is described by a `<config>_schema.json` sidecar in this repository, carrying the same table and column descriptions:
+
+| Config | Columns | Schema |
+|---|---:|---|
+| `analysis_results_index` | 13 | [`analysis_results_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/analysis_results_index_schema.json) |
+| `ann_group_index` | 12 | [`ann_group_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/ann_group_index_schema.json) |
+| `ann_index` | 3 | [`ann_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/ann_index_schema.json) |
+| `clinical_index` | 6 | [`clinical_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/clinical_index_schema.json) |
+| `collections_index` | 12 | [`collections_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/collections_index_schema.json) |
+| `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) |
+| `sm_index` | 20 | [`sm_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/sm_index_schema.json) |
+| `sm_instance_index` | 15 | [`sm_instance_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/sm_instance_index_schema.json) |
+| `version_metadata_index` | 2 | [`version_metadata_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/version_metadata_index_schema.json) |
+| `volume_geometry_index` | 11 | [`volume_geometry_index_schema.json`](https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/blob/main/volume_geometry_index_schema.json) |
+
+They are plain JSON, so you can read one without downloading the data:
+
+```python
+import json, urllib.request
+
+url = "https://huggingface.co/datasets/ImagingDataCommons/idc-index-data/resolve/main/seg_index_schema.json"
+schema = json.load(urllib.request.urlopen(url))
+print(schema["table_description"])
+for column in schema["columns"]:
+    print(column["name"], "--", column.get("description", ""))
+```
+
+## Licensing
+
+**The images are not covered by a single license.** Every row carries a `license_short_name` giving the license of that series; the YAML above lists all of them so the dataset appears under each one's Hub filter. Check it per series before redistributing or using data commercially.
+
+| License | Series | Commercial use |
+|---|---:|---|
+| CC BY 4.0 | 865,935 | allowed |
+| CC BY 3.0 | 132,303 | allowed |
+| CC BY-NC 4.0 | 28,783 | not allowed |
+| CC BY-NC 3.0 | 5,851 | not allowed |
+| National Library of Medicine Terms and Conditions; May 21, 2019 | 39 | see terms |
+
+Series under *National Library of Medicine Terms and Conditions* are governed by <https://www.nlm.nih.gov/databases/download/terms_and_conditions.html>.
+
+Every license IDC uses -- CC BY and CC BY-NC alike -- requires **attribution**. See [IDC licensing and attribution](https://learn.canceridc.dev/data/licensing).
+
+The index files in this repository are a factual catalog of that content and are distributed under the license of the [idc-index-data repository](https://github.com/ImagingDataCommons/idc-index-data/blob/main/LICENSE). That license covers the tables only, never the referenced images.
+
+## Attribution and citation
+
+Attribution is required by every license in this catalog, and it is owed to the
+**source dataset**, not to IDC. Each row's `source_DOI` identifies the dataset
+the series came from; resolve it to a formatted citation with IDC's citations
+API or `IDCClient.citations_from_selection()`.
+
+Many IDC collections originate from [The Cancer Imaging Archive
+(TCIA)](https://www.cancerimagingarchive.net/); IDC is a TCIA Data Analysis
+Center. Those collections additionally carry TCIA's [data usage policies and
+restrictions](https://www.cancerimagingarchive.net/data-usage-policies-and-restrictions/),
+including obligations on downstream attribution.
+
+Please also acknowledge IDC itself:
+
+```bibtex
+@article{fedorov2023idc,
+  title   = {National Cancer Institute Imaging Data Commons: Toward Transparency,
+             Reproducibility, and Scalability in Imaging Artificial Intelligence},
+  author  = {Fedorov, Andrey and Longabaugh, William J. R. and Pot, David and
+             Clunie, David A. and Pieper, Steven D. and Gibbs, David L. and
+             Bridge, Christopher and Herrmann, Markus D. and Homeyer, Andr\'e and
+             Lewis, Rob and Aerts, Hugo J. W. L. and Krishnaswamy, Deepa and
+             Thiriveedhi, Vamsi K. and Ciausu, Cosmin and Schacherer, David P. and
+             Bontempi, Dennis and Pihl, Todd and Wagner, Ulrike and
+             Farahani, Keyvan and Kim, Erika and Kikinis, Ron},
+  journal = {RadioGraphics},
+  volume  = {43},
+  number  = {12},
+  year    = {2023},
+  doi     = {10.1148/rg.230180}
+}
+
+@article{fedorov2021idc,
+  title   = {NCI Imaging Data Commons},
+  author  = {Fedorov, Andrey and Longabaugh, William J. R. and Pot, David and
+             Clunie, David A. and Pieper, Steve and Aerts, Hugo J. W. L. and
+             Homeyer, Andr\'e and Lewis, Rob and Akbarzadeh, Afshin and
+             Bontempi, Dennis and Clifford, William and Herrmann, Markus D. and
+             H\"ofener, Henning and Octaviano, Igor and Osborne, Chad and
+             Paquette, Suzanne and Petts, James and Punzo, Davide and
+             Reyes, Madelyn and Schacherer, Daniela P. and Tian, Mi and
+             White, George and Ziegler, Erik and Shmulevich, Ilya and
+             Pihl, Todd and Wagner, Ulrike and Farahani, Keyvan and Kikinis, Ron},
+  journal = {Cancer Research},
+  volume  = {81},
+  number  = {16},
+  pages   = {4188--4193},
+  year    = {2021},
+  doi     = {10.1158/0008-5472.CAN-21-0950}
+}
+```
+
+## Versioning
+
+Tags on this repo match the [idc-index-data releases](https://github.com/ImagingDataCommons/idc-index-data/releases)
+one for one, and `main` always holds the most recent published release. Pin a
+version to keep results reproducible:
+
+```python
+load_dataset("ImagingDataCommons/idc-index-data", "idc_index", revision="24.2.2")
+```
+
+This release, `24.2.2`, indexes IDC v24 (released 2026-04-16). Not every idc-index-data release
+is published here; tags on this repo are a subset of the GitHub releases.
+
+This card is generated, not maintained here. Every publish regenerates
+`README.md` -- YAML front matter and all -- from the release artifacts and
+commits it over whatever the Hub currently holds. Edits made through the Hub UI
+and community pull requests merged into this card are reverted by the next
+publish, with no warning and no notification to whoever made them. The old text
+survives only in this repo's commit history.
+
+So please don't send card fixes as pull requests here; they will not last.
+Open them against the generator,
+[`scripts/hf/generate_dataset_card.py`](https://github.com/ImagingDataCommons/idc-index-data/blob/main/scripts/hf/generate_dataset_card.py),
+and they will appear at the next release. Nothing else on the Hub is affected:
+discussions persist, and only the Parquet files, their `*_schema.json` sidecars
+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 documentation](https://learn.canceridc.dev/)
+- [`idc-index` Python package](https://github.com/ImagingDataCommons/idc-index) -- the download client
+- [`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.
+  `https://storage.googleapis.com/idc-index-data-artifacts/current/release_artifacts/idc_index.parquet`
+- [IDC user forum](https://discourse.canceridc.dev/)

analysis_results_index.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5f82e93e62a908584441669c522817786cc238d191b6ea45d1ea6f4ec6c41ab
+size 27462

analysis_results_index_schema.json

@@ -0,0 +1,83 @@
+{
+  "table_description": "This table contains metadata about the analysis results collections available in IDC. Each row corresponds to an analysis results collection, and contains attributes such as the collection name, types of cancer represented, number of subjects, and pointers to the resources to learn more about the content of the collection",
+  "columns": [
+    {
+      "name": "analysis_result_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the analysis results collection"
+    },
+    {
+      "name": "analysis_result_title",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "name of the analysis results collection"
+    },
+    {
+      "name": "source_DOI",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Digital Object Identifier (DOI) of the analysis results collection"
+    },
+    {
+      "name": "source_url",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "URL for the location of additional information about the analysis results collection"
+    },
+    {
+      "name": "subjects",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of subjects analyzed in the analysis results collection"
+    },
+    {
+      "name": "collections",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "collections analyzed in the analysis results collection"
+    },
+    {
+      "name": "modalities",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "modalities corresponding to the analysis artifacts included in the analysis results collection"
+    },
+    {
+      "name": "updated",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "timestamp of the last update to the analysis results collection"
+    },
+    {
+      "name": "license_url",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "license URL for the analysis results collection"
+    },
+    {
+      "name": "license_long_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "license name for the analysis results collection"
+    },
+    {
+      "name": "license_short_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "short name for the license of the analysis results collection"
+    },
+    {
+      "name": "description",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "detailed description of the analysis results collection"
+    },
+    {
+      "name": "citation",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "citation for the analysis results collection that should be used for acknowledgment"
+    }
+  ]
+}

ann_group_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fa941af45ce6e60b587180e55713fb06241ad316a41b00f136dd4361abcc40db
+size 498553

ann_group_index_schema.json

@@ -0,0 +1,77 @@
+{
+  "table_description": "This table contains detailed metadata about individual annotation groups within Microscopy Bulk Simple Annotations (ANN) series in IDC. Each row corresponds to a single annotation group, providing granular information about the graphic type, number of annotations, property codes, and algorithm details. This table can be joined with ann_index using SeriesInstanceUID for series-level context. Note: ANN series are assumed to contain a single instance.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationGroupNumber",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationGroupUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationGroupLabel",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationGroupGenerationType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "NumberOfAnnotations",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "GraphicType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationPropertyCategory_code",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "annotation property category code tuple (CodingSchemeDesignator:CodeValue) from DICOM AnnotationPropertyCategoryCodeSequence"
+    },
+    {
+      "name": "AnnotationPropertyCategory_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "human-readable meaning of the annotation property category from DICOM AnnotationPropertyCategoryCodeSequence"
+    },
+    {
+      "name": "AnnotationPropertyType_code",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "annotation property type code tuple (CodingSchemeDesignator:CodeValue) from DICOM AnnotationPropertyTypeCodeSequence"
+    },
+    {
+      "name": "AnnotationPropertyType_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "human-readable meaning of the annotation property type from DICOM AnnotationPropertyTypeCodeSequence"
+    },
+    {
+      "name": "AlgorithmName",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "name of the algorithm from DICOM AlgorithmName attribute in AnnotationGroupAlgorithmIdentificationSequence (when AnnotationGroupGenerationType is AUTOMATIC)"
+    }
+  ]
+}

ann_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 242894

ann_index_schema.json

@@ -0,0 +1,23 @@
+{
+  "table_description": "This table contains metadata about the Microscopy Bulk Simple Annotations (ANN) series available in IDC. Each row corresponds to a DICOM series containing annotations, and includes attributes such as the annotation coordinate type and references to the annotated image series. For detailed group-level information (counts, graphic types, property codes), join with ann_group_index using SeriesInstanceUID. This table can be joined with the main idc_index table using the SeriesInstanceUID column. Note: ANN series are assumed to contain a single instance.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "AnnotationCoordinateType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "referenced_SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "SeriesInstanceUID of the referenced image series that the annotations apply to"
+    }
+  ]
+}

clinical_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 135411

clinical_index_schema.json

@@ -0,0 +1,41 @@
+{
+  "table_description": "This table contains metadata about the tabular data, including clinical data, accompanying images that is available in IDC. Think about this table as a dictionary containing information about the columns for all of the tabular data accompanying individual collections in IDC. Each row corresponds to a unique combination of collection, clinical data table that is available for that collection, and a column from that table. Individual tables referenced from this table can be retrieved using idc-index `get_clinical_table()` function.",
+  "columns": [
+    {
+      "name": "collection_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the collection"
+    },
+    {
+      "name": "table_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "full name of the table in which the column is stored"
+    },
+    {
+      "name": "short_table_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "short name of the table in which the column is stored"
+    },
+    {
+      "name": "column",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "column_label",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "human readable name of the column"
+    },
+    {
+      "name": "values",
+      "type": "RECORD",
+      "mode": "REPEATED",
+      "description": ""
+    }
+  ]
+}

collections_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 96975

collections_index_schema.json

@@ -0,0 +1,77 @@
+{
+  "table_description": "This table contains metadata about the collections available in IDC. Each row corresponds to a collection, and contains attributes such as the collection name, types of cancer represented, number of subjects, and pointers to the resources to learn more about the content of the collection.",
+  "columns": [
+    {
+      "name": "collection_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "name of the collection"
+    },
+    {
+      "name": "collection_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the collection"
+    },
+    {
+      "name": "cancer_types",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "types of cancer represented in the collection"
+    },
+    {
+      "name": "tumor_locations",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "locations of tumors represented in the collection"
+    },
+    {
+      "name": "subjects",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of subjects in the collection"
+    },
+    {
+      "name": "species",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "species represented in the collection"
+    },
+    {
+      "name": "sources",
+      "type": "RECORD",
+      "mode": "REPEATED",
+      "description": "sources of data for the collection"
+    },
+    {
+      "name": "supporting_data",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "additional data supporting the collection available in IDC"
+    },
+    {
+      "name": "program_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "broader initiative/category under which this collection is being shared"
+    },
+    {
+      "name": "status",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "status of the collection (Completed or Ongoing)"
+    },
+    {
+      "name": "updated",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "date of the last update to the collection"
+    },
+    {
+      "name": "description",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "detailed information about the collection"
+    }
+  ]
+}

contrast_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 1105864

contrast_index_schema.json

@@ -0,0 +1,29 @@
+{
+  "table_description": "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.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID identifier of the imaging series"
+    },
+    {
+      "name": "ContrastBolusAgent",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "distinct contrast agent names used in the series as defined in DICOM ContrastBolusAgent attribute"
+    },
+    {
+      "name": "ContrastBolusIngredient",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "distinct contrast agent ingredients used in the series as defined in DICOM ContrastBolusIngredient attribute"
+    },
+    {
+      "name": "ContrastBolusRoute",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "distinct contrast administration routes used in the series as defined in DICOM ContrastBolusRoute attribute"
+    }
+  ]
+}

ct_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 6333341

ct_index_schema.json

@@ -0,0 +1,131 @@
+{
+  "table_description": "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 \u2014 which vary across instances within a series due to dose modulation \u2014 both min and max values are reported. All other attributes are aggregated with ANY_VALUE (one representative instance).",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID \u2014 unique identifier of the CT series; use to join with idc_index"
+    },
+    {
+      "name": "ImageType",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "image type values as defined in DICOM ImageType attribute (e.g., ORIGINAL/DERIVED, PRIMARY/SECONDARY, AXIAL/LOCALIZER); aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "PixelSpacing_row_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the row direction in mm, derived from DICOM PixelSpacing[0]; a subset of CT series have anisotropic spacing where this differs from PixelSpacing_col_mm; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "PixelSpacing_col_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the column direction in mm, derived from DICOM PixelSpacing[1]; a subset of CT series have anisotropic spacing where this differs from PixelSpacing_row_mm; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "Rows",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "Columns",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "SliceThickness",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "nominal reconstructed slice thickness in mm as defined in DICOM SliceThickness attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "KVP",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "peak kilovoltage of the X-ray tube in kV as defined in DICOM KVP attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ScanOptions",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "acquisition scan options as defined in DICOM ScanOptions attribute (e.g., HELICAL MODE, AXIAL MODE, SCOUT MODE); may contain multiple values; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "ConvolutionKernel",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "reconstruction convolution kernel as defined in DICOM ConvolutionKernel attribute; vendor-specific string (e.g., B30f, STANDARD, LUNG); may contain multiple values; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "GantryDetectorTilt",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "nominal angle of the scanning gantry in degrees as defined in DICOM GantryDetectorTilt attribute; non-zero for gantry-tilted acquisitions; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "XRayTubeCurrent_min",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "minimum X-ray tube current in mA across all instances in the series, derived from DICOM XRayTubeCurrent attribute; equals XRayTubeCurrent_max for fixed-current acquisitions; lower than XRayTubeCurrent_max for dose-modulated acquisitions (MIN across all instances)"
+    },
+    {
+      "name": "XRayTubeCurrent_max",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "maximum X-ray tube current in mA across all instances in the series, derived from DICOM XRayTubeCurrent attribute; equals XRayTubeCurrent_min for fixed-current acquisitions; higher than XRayTubeCurrent_min for dose-modulated acquisitions (MAX across all instances)"
+    },
+    {
+      "name": "FilterType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "type of filter used in the acquisition as defined in DICOM FilterType attribute (e.g., WEDGE, BUTTERFLY, FLAT); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "Exposure_min",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "minimum exposure in mAs across all instances in the series, derived from DICOM Exposure attribute; equals Exposure_max for fixed-exposure acquisitions; lower than Exposure_max for dose-modulated acquisitions (MIN across all instances)"
+    },
+    {
+      "name": "Exposure_max",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "maximum exposure in mAs across all instances in the series, derived from DICOM Exposure attribute; equals Exposure_min for fixed-exposure acquisitions; higher than Exposure_min for dose-modulated acquisitions (MAX across all instances)"
+    },
+    {
+      "name": "ExposureTime_min",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "minimum duration of the X-ray exposure in ms across all instances in the series, derived from DICOM ExposureTime attribute (MIN across all instances)"
+    },
+    {
+      "name": "ExposureTime_max",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "maximum duration of the X-ray exposure in ms across all instances in the series, derived from DICOM ExposureTime attribute (MAX across all instances)"
+    },
+    {
+      "name": "DataCollectionDiameter",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "diameter of the region over which data were collected in mm as defined in DICOM DataCollectionDiameter attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ReconstructionDiameter",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "diameter of the reconstruction field of view in mm as defined in DICOM ReconstructionDiameter attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "SpiralPitchFactor",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "ratio of the beam pitch for helical CT as defined in DICOM SpiralPitchFactor attribute; NULL for non-helical (sequential/axial) acquisitions; constant across instances \u2014 aggregated with ANY_VALUE"
+    }
+  ]
+}

idc_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 73484907

idc_index_schema.json

@@ -0,0 +1,191 @@
+{
+  "table_description": "This is the main metadata table provided by idc-index. Each row corresponds to a DICOM series, and contains attributes at the collection, patient, study, and series levels. The table also contains download-related attributes, such as the AWS S3 bucket and URL to download the series.",
+  "columns": [
+    {
+      "name": "collection_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "short string with the identifier of the collection the series belongs to"
+    },
+    {
+      "name": "analysis_result_id",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "this string is not empty if the specific series is part of an analysis results collection; analysis results can be added to a given collection over time"
+    },
+    {
+      "name": "PatientID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "identifier of the patient within the collection (DICOM attribute)"
+    },
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "StudyInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the DICOM study (DICOM attribute)"
+    },
+    {
+      "name": "source_DOI",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Digital Object Identifier of the dataset that contains the given series; follow this DOI to learn more about the activity that produced this series"
+    },
+    {
+      "name": "PatientAge",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "age of the subject at the time of imaging (DICOM attribute)"
+    },
+    {
+      "name": "PatientSex",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "subject sex (DICOM attribute)"
+    },
+    {
+      "name": "StudyDate",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "date of the study (de-identified) (DICOM attribute)"
+    },
+    {
+      "name": "StudyDescription",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "textual description of the study content (DICOM attribute)"
+    },
+    {
+      "name": "BodyPartExamined",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "body part imaged (not applicable for SM series) (DICOM attribute). For derived series (SEG, RTSTRUCT) this reflects the source acquisition, not the segmented anatomy -- what was segmented is recorded in the seg_index table (SegmentedPropertyType_CodeMeanings) and in rtstruct_index."
+    },
+    {
+      "name": "Modality",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "acquisition modality (DICOM attribute)"
+    },
+    {
+      "name": "SOPClassUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "SOP Class UID identifying the type of DICOM object (e.g., CT Image Storage, Segmentation Storage); more specific than Modality for distinguishing object types (DICOM attribute)"
+    },
+    {
+      "name": "sop_class_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "human-readable name of the SOP Class (e.g., \"CT Image Storage\", \"Segmentation Storage\"); derived from SOPClassUID"
+    },
+    {
+      "name": "TransferSyntaxUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Transfer Syntax UID identifying the encoding of the stored instances (e.g., Explicit VR Little Endian, JPEG 2000, HTJ2K); comma-separated when a series contains instances with different encodings, which is common for SM (DICOM attribute)"
+    },
+    {
+      "name": "transfer_syntax_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "human-readable name of the Transfer Syntax (e.g., \"JPEG 2000\", \"Explicit VR Little Endian\"); comma-separated when a series contains instances with different encodings; derived from TransferSyntaxUID"
+    },
+    {
+      "name": "PhotometricInterpretation",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "intended interpretation of the pixel data, e.g., MONOCHROME2 (grayscale), RGB or YBR_FULL_422 (color); NULL for non-image objects (e.g., SEG, SR, RTSTRUCT); comma-separated when a series contains instances with different values (DICOM attribute)"
+    },
+    {
+      "name": "PixelRepresentation",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "data representation of pixel sample values: \"0\" for unsigned integers, \"1\" for signed integers; NULL for non-image objects; comma-separated when a series contains instances with different values (DICOM attribute)"
+    },
+    {
+      "name": "Manufacturer",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "manufacturer of the equipment that produced the series (DICOM attribute)"
+    },
+    {
+      "name": "ManufacturerModelName",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "model name of the equipment that produced the series (DICOM attribute)"
+    },
+    {
+      "name": "SeriesDate",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "date of the series (de-identified) (DICOM attribute)"
+    },
+    {
+      "name": "SeriesDescription",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "textual description of the series content (DICOM attribute)"
+    },
+    {
+      "name": "SeriesNumber",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "series number (DICOM attribute)"
+    },
+    {
+      "name": "instanceCount",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of instances in the series"
+    },
+    {
+      "name": "license_short_name",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "short name of the license that applies to this series"
+    },
+    {
+      "name": "series_init_idc_version",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "IDC data release version number when this series first appeared in IDC (integer, e.g., 1 for v1)"
+    },
+    {
+      "name": "series_revised_idc_version",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "IDC data release version number when this series was most recently revised in IDC (integer, e.g., 24 for v24)"
+    },
+    {
+      "name": "aws_bucket",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "name of the AWS S3 bucket that contains the series"
+    },
+    {
+      "name": "crdc_series_uuid",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the series within the IDC"
+    },
+    {
+      "name": "series_aws_url",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "public AWS S3 URL to download the series in bulk (each instance is a separate file)"
+    },
+    {
+      "name": "series_size_MB",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "total size of the series in megabytes"
+    }
+  ]
+}

mr_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3394da277b3ee04d582edce6735e7f6e3728da7565c5523753aff6839ab3b665
+size 2931764

mr_index_schema.json

@@ -0,0 +1,137 @@
+{
+  "table_description": "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).",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID \u2014 unique identifier of the MR series; use to join with idc_index"
+    },
+    {
+      "name": "MagneticFieldStrength",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "static magnetic field strength in Tesla as defined in DICOM MagneticFieldStrength attribute; constant across instances within a series \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ScanningSequence",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "pulse sequence type as defined in DICOM ScanningSequence attribute (SE = Spin Echo, GR = Gradient Recalled, IR = Inversion Recovery, EP = Echo Planar); may contain multiple values; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "SequenceVariant",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "variant of the scanning sequence as defined in DICOM SequenceVariant attribute (SK = Segmented k-Space, MTC = Magnetization Transfer Contrast, SS = Steady State, TRSS = Time Reversed Steady State, SP = Spoiled, MP = MAG Prepared, OSP = Oversampling Phase, NONE = No sequence variant); may contain multiple values; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "MRAcquisitionType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "whether the acquisition is 2D or 3D as defined in DICOM MRAcquisitionType attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "EchoTime",
+      "type": "FLOAT",
+      "mode": "REPEATED",
+      "description": "distinct echo times in ms present in the series, derived from DICOM EchoTime attribute; aggregated as ARRAY_AGG(DISTINCT) across all instances because EchoTime legitimately varies in multi-echo sequences; single-element array for single-echo series, multi-element array for multi-echo series (e.g., [2.46, 4.92, 7.38])"
+    },
+    {
+      "name": "RepetitionTime",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "repetition time in ms as defined in DICOM RepetitionTime attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "EchoTrainLength",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of echoes in the echo train as defined in DICOM EchoTrainLength attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "FlipAngle",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "flip angle in degrees as defined in DICOM FlipAngle attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "PixelBandwidth",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "receiver bandwidth per pixel in Hz as defined in DICOM PixelBandwidth attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "ImagingFrequency",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "Larmor resonance frequency in MHz as defined in DICOM ImagingFrequency attribute; proportional to MagneticFieldStrength (42.577 MHz/T for proton); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ImagedNucleus",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "nucleus used for imaging as defined in DICOM ImagedNucleus attribute (e.g., 1H for proton, 31P, 23Na); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "PixelSpacing_row_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the row direction in mm, derived from DICOM PixelSpacing[0]; MR pixel spacing is isotropic in almost all series in IDC; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "PixelSpacing_col_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the column direction in mm, derived from DICOM PixelSpacing[1]; MR pixel spacing is isotropic in almost all series in IDC; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "Rows",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "Columns",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "SliceThickness",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "nominal slice thickness in mm as defined in DICOM SliceThickness attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "InversionTime",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "inversion time in ms as defined in DICOM InversionTime attribute; populated only for inversion recovery sequences, NULL otherwise; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ReceiveCoilName",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "name of the receiver coil used as defined in DICOM ReceiveCoilName attribute; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "SequenceName",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "manufacturer-specific pulse sequence name as defined in DICOM SequenceName attribute (e.g., *tfl* for Siemens FLASH, *ep_b1000* for Siemens EPI diffusion); aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "DiffusionBValue",
+      "type": "FLOAT",
+      "mode": "REPEATED",
+      "description": "distinct diffusion b-values in s/mm\u00b2 present in the series, derived from DICOM DiffusionBValue attribute; aggregated as ARRAY_AGG(DISTINCT) across all instances because DiffusionBValue legitimately varies across instances in diffusion-weighted series; empty array for non-DWI series; multi-element for DWI (e.g., [0.0, 1000.0])"
+    },
+    {
+      "name": "NumberOfTemporalPositions",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of temporal positions (time frames) in the series as defined in DICOM NumberOfTemporalPositions attribute; populated for dynamic (DCE-MRI) series; NULL otherwise; constant across instances \u2014 aggregated with ANY_VALUE"
+    }
+  ]
+}

prior_versions_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3d09487bddb3d8d6b855d7a9ed1a8ea5085ad42e0dd9009425e12e2bd8a39823
+size 4277778

prior_versions_index_schema.json

@@ -0,0 +1,82 @@
+{
+  "columns": [
+    {
+      "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",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "series_size_MB",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "series_aws_url",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "gcs_bucket_1",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "aws_bucket",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "min_idc_version",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "max_idc_version",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    }
+  ]
+}

pt_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8f7f8c7b6b3693158829d863a098043b8ee76930fd361bd67dc35a90d1d779c6
+size 326522

pt_index_schema.json

@@ -0,0 +1,131 @@
+{
+  "table_description": "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.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID \u2014 unique identifier of the PET series; use to join with idc_index"
+    },
+    {
+      "name": "SeriesType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "acquisition type of the series as defined in DICOM SeriesType attribute, encoded as a slash-separated string of the two type values (e.g., STATIC/IMAGE, DYNAMIC/IMAGE, GATED/IMAGE, WHOLE BODY/IMAGE); constant across instances \u2014 aggregated with ANY_VALUE(ARRAY_TO_STRING(SeriesType, '/'))"
+    },
+    {
+      "name": "Units",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "pixel value units as defined in DICOM Units attribute (e.g., BQML = Bq/mL, CNTS = counts, CPS = counts/s, GML = g/mL); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "DecayCorrection",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "type of decay correction applied as defined in DICOM DecayCorrection attribute (START = corrected to scan start time, ADMIN = corrected to radiopharmaceutical administration time, NONE = no correction); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "CorrectedImage",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "list of corrections applied to the image as defined in DICOM CorrectedImage attribute (e.g., ATTN = attenuation, SCAT = scatter, DECY = decay, RAN = randoms); may contain multiple values; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "RandomsCorrectionMethod",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "method used for randoms correction as defined in DICOM RandomsCorrectionMethod attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ReconstructionMethod",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "reconstruction algorithm as defined in DICOM ReconstructionMethod attribute (e.g., OSEM, FBP); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "ActualFrameDuration",
+      "type": "FLOAT",
+      "mode": "REPEATED",
+      "description": "distinct actual frame durations in ms present in the series, derived from DICOM ActualFrameDuration attribute; aggregated as ARRAY_AGG(DISTINCT) across all instances because ActualFrameDuration legitimately varies across frames in dynamic PET acquisitions; single-element array for static PET, multi-element for dynamic PET with variable frame durations"
+    },
+    {
+      "name": "ScatterCorrectionMethod",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "scatter correction method as defined in DICOM ScatterCorrectionMethod attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "AttenuationCorrectionMethod",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "attenuation correction method as defined in DICOM AttenuationCorrectionMethod attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "RadionuclideCodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "code meaning of the radionuclide used, from RadiopharmaceuticalInformationSequence[0].RadionuclideCodeSequence[0].CodeMeaning; (e.g., Fluorine F18, Gallium Ga-68); constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "RadionuclideTotalDose",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "total administered dose of the radionuclide in Bq, from RadiopharmaceuticalInformationSequence[0].RadionuclideTotalDose; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "RadiopharmaceuticalStartTime",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "time of radiopharmaceutical administration (injection time), from RadiopharmaceuticalInformationSequence[0].RadiopharmaceuticalStartTime; stored as STRING (HH:MM:SS.FFFFFF) because DICOM TIME type is not supported in parquet output; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "Radiopharmaceutical",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "free-text name of the radiopharmaceutical as defined in RadiopharmaceuticalInformationSequence[0].Radiopharmaceutical (e.g., Fluorodeoxyglucose F^18^); values are not standardized across sites; see RadionuclideCodeMeaning for a more consistent alternative; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "PixelSpacing_row_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the row direction in mm, derived from DICOM PixelSpacing[0]; PET pixel spacing is isotropic in almost all series in IDC; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "PixelSpacing_col_mm",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "in-plane pixel spacing along the column direction in mm, derived from DICOM PixelSpacing[1]; PET pixel spacing is isotropic in almost all series in IDC; aggregated with ANY_VALUE \u2014 constant across instances within a series"
+    },
+    {
+      "name": "Rows",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "Columns",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "SliceThickness",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "nominal slice thickness in mm as defined in DICOM SliceThickness attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "NumberOfSlices",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "total number of slices in the series as defined in DICOM NumberOfSlices attribute; constant across instances \u2014 aggregated with ANY_VALUE"
+    },
+    {
+      "name": "NumberOfTimeSlices",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of time frames in the series as defined in DICOM NumberOfTimeSlices attribute; populated only for dynamic (multi-frame) PET series, NULL for static PET; constant across instances \u2014 aggregated with ANY_VALUE"
+    }
+  ]
+}

rtstruct_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:58d19937f5c3931f49eaee2c02f6e3a3ab6ca73f207f05c8ffd49e38655bafef
+size 351739

rtstruct_index_schema.json

@@ -0,0 +1,41 @@
+{
+  "table_description": "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.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID identifier of the RT Structure Set series"
+    },
+    {
+      "name": "total_rois",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "Number of ROIs in the structure set obtained by counting distinct DICOM ROINumber values in the StructureSetROISequence"
+    },
+    {
+      "name": "ROINames",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct ROI names from DICOM ROIName attribute in StructureSetROISequence, e.g., [\"GTV\", \"Heart\", \"Liver\", \"PTV\"]"
+    },
+    {
+      "name": "ROIGenerationAlgorithms",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct ROI generation algorithms from DICOM ROIGenerationAlgorithm attribute in StructureSetROISequence, e.g., [\"AUTOMATIC\", \"MANUAL\", \"SEMIAUTOMATIC\"]"
+    },
+    {
+      "name": "RTROIInterpretedTypes",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct ROI interpreted types from DICOM RTROIInterpretedType attribute in RTROIObservationsSequence, e.g., [\"GTV\", \"ORGAN\", \"PTV\"]"
+    },
+    {
+      "name": "referenced_SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "SeriesInstanceUID of the referenced image series that the structure set applies to, extracted from DICOM ReferencedFrameOfReferenceSequence > RTReferencedStudySequence > RTReferencedSeriesSequence"
+    }
+  ]
+}

seg_index.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 6492311

seg_index_schema.json

@@ -0,0 +1,59 @@
+{
+  "table_description": "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.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM SeriesInstanceUID identifier of the segmentation series"
+    },
+    {
+      "name": "SegmentationType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Type of segmentation as defined in DICOM SegmentationType attribute"
+    },
+    {
+      "name": "total_segments",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "Number of segments in the segmentation series obtained by counting distinct DICOM SegmentNumber values in the DICOM SegmentatationSequence"
+    },
+    {
+      "name": "AlgorithmType",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Segmentation algorithm type as available in DICOM SegmentAlgorithmType"
+    },
+    {
+      "name": "AlgorithmName",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "Segmentation algorithm name as available in DICOM SegmentAlgorithmName"
+    },
+    {
+      "name": "segmented_SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "SeriesInstanceUID of the referenced image series that the segmentation applies to"
+    },
+    {
+      "name": "SegmentedPropertyCategory_CodeMeanings",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct CodeMeaning values from SegmentedPropertyCategoryCodeSequence across all segments in the series, representing the broad category of the segmented property as defined in DICOM PS3.3 C.8.20.2, e.g., [\"Anatomical Structure\"], [\"Morphologically Altered Structure\"]"
+    },
+    {
+      "name": "SegmentedPropertyType_CodeMeanings",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct CodeMeaning values from SegmentedPropertyTypeCodeSequence across all segments in the series, representing the specific type of the segmented property as defined in DICOM PS3.3 C.8.20.2, e.g., [\"Liver\", \"Kidney\", \"Spleen\"]"
+    },
+    {
+      "name": "AnatomicRegion_CodeMeanings",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "Array of distinct CodeMeaning values from AnatomicRegionSequence across all segments in the series, representing the anatomic location of the segmented structure as defined in DICOM PS3.3 C.8.20.2, e.g., [\"Abdomen\"], [\"Thorax\", \"Head\"]"
+    }
+  ]
+}

sm_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6aad4ccae798d97197cf09e41efe67b42e01a689d71932a1358c92e4146a19a2
+size 2204053

sm_index_schema.json

@@ -0,0 +1,125 @@
+{
+  "table_description": "This table contains metadata about the slide microscopy (SM) series available in IDC. Each row corresponds to a DICOM series, and contains attributes specific to SM series, such as the pixel spacing at the maximum resolution layer, the power of the objective lens used to digitize the slide, and the anatomic location from where the imaged specimen was collected. This table can be joined with the main index table using the `SeriesInstanceUID` column.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": ""
+    },
+    {
+      "name": "ContainerIdentifier",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "identifier of the container (e.g., glass slide) holding the specimen from DICOM ContainerIdentifier attribute"
+    },
+    {
+      "name": "embeddingMedium_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "embedding medium CodeMeaning from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "embeddingMedium_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "embedding medium code tuple from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "tissueFixative_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "tissue fixative CodeMeaning from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "tissueFixative_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "tissue fixative code tuple from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "staining_usingSubstance_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "staining substances CodeMeaning from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "staining_usingSubstance_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "staining substances code tuple from DICOM SpecimenPreparationSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "min_PixelSpacing_2sf",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "pixel spacing in mm at the maximum resolution layer, rounded to 2 significant figures, derived from DICOM PixelSpacing attribute"
+    },
+    {
+      "name": "max_TotalPixelMatrixColumns",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "width of the image at the maximum resolution from DICOM TotalPixelMatrixColumns attribute"
+    },
+    {
+      "name": "max_TotalPixelMatrixRows",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "height of the image at the maximum resolution from DICOM TotalPixelMatrixRows attribute"
+    },
+    {
+      "name": "ObjectiveLensPower",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "power of the objective lens from DICOM ObjectiveLensPower attribute in OpticalPathSequence"
+    },
+    {
+      "name": "primaryAnatomicStructure_code_designator_value_str",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "anatomic location code tuple from DICOM PrimaryAnatomicStructureSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "primaryAnatomicStructure_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "anatomic location CodeMeaning from DICOM PrimaryAnatomicStructureSequence in SpecimenDescriptionSequence"
+    },
+    {
+      "name": "primaryAnatomicStructureModifier_code_designator_value_str",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "specimen modifier code tuple from DICOM PrimaryAnatomicStructureModifierSequence (when available)"
+    },
+    {
+      "name": "primaryAnatomicStructureModifier_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "specimen modifier CodeMeaning from DICOM PrimaryAnatomicStructureModifierSequence (when available)"
+    },
+    {
+      "name": "illuminationType_code_designator_value_str",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "illumination type code tuple from DICOM IlluminationTypeCodeSequence in OpticalPathSequence"
+    },
+    {
+      "name": "illuminationType_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "illumination type CodeMeaning from DICOM IlluminationTypeCodeSequence in OpticalPathSequence"
+    },
+    {
+      "name": "admittingDiagnosis_code_designator_value_str",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "admitting diagnosis code tuple from DICOM AdmittingDiagnosesCodeSequence (when available)"
+    },
+    {
+      "name": "admittingDiagnosis_CodeMeaning",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "admitting diagnosis CodeMeaning from DICOM AdmittingDiagnosesCodeSequence (when available)"
+    }
+  ]
+}

sm_instance_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:911b4be866a692ba5a7ef437c0db311d74c596f70b50d827d1042e0d940e85b3
+size 17939717

sm_instance_index_schema.json

@@ -0,0 +1,95 @@
+{
+  "table_description": "This table contains metadata about the slide microscopy (SM) series available in IDC. Each row corresponds to an instance from a DICOM Slide Microscopy series available from IDC, identified by `SOPInstanceUID`, and contains attributes specific to SM series, such as the pixel spacing at the maximum resolution layer, the power of the objective lens used to digitize the slide, and the anatomic location from where the imaged specimen was collected. This table can be joined with the main index table and/or with `sm_index` using the `SeriesInstanceUID` column.",
+  "columns": [
+    {
+      "name": "SOPInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the instance"
+    },
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the series"
+    },
+    {
+      "name": "embeddingMedium_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "embedding medium used for the slide preparation"
+    },
+    {
+      "name": "embeddingMedium_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "embedding medium code tuple"
+    },
+    {
+      "name": "tissueFixative_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "tissue fixative used for the slide preparation"
+    },
+    {
+      "name": "tissueFixative_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "tissue fixative code tuple"
+    },
+    {
+      "name": "staining_usingSubstance_CodeMeaning",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "staining substances used for the slide preparation"
+    },
+    {
+      "name": "staining_usingSubstance_code_designator_value_str",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "staining using substance code tuple"
+    },
+    {
+      "name": "PixelSpacing_0",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "pixel spacing in mm, rounded to 2 significant figures"
+    },
+    {
+      "name": "ImageType",
+      "type": "STRING",
+      "mode": "REPEATED",
+      "description": "DICOM ImageType attribute"
+    },
+    {
+      "name": "TransferSyntaxUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "DICOM TransferSyntaxUID attribute"
+    },
+    {
+      "name": "instance_size",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "size of the instance file in bytes"
+    },
+    {
+      "name": "TotalPixelMatrixColumns",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of columns in the image"
+    },
+    {
+      "name": "TotalPixelMatrixRows",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "number of rows in the image"
+    },
+    {
+      "name": "crdc_instance_uuid",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the instance within the IDC"
+    }
+  ]
+}

version_metadata_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8858a23a3e300ad4d29f8bcbecd5ba3edb562135db37ca20d4a339e2e9fa35db
+size 2641

version_metadata_index_schema.json

@@ -0,0 +1,17 @@
+{
+  "table_description": "This table contains metadata about each IDC data release version. Each row corresponds to one IDC version and captures when that version was created. This index can be used to correlate data in other indexes (which include idc_version columns) with the corresponding release timestamps.",
+  "columns": [
+    {
+      "name": "idc_version",
+      "type": "INTEGER",
+      "mode": "NULLABLE",
+      "description": "IDC version number identifying the data release"
+    },
+    {
+      "name": "version_timestamp",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "timestamp when this IDC version was created"
+    }
+  ]
+}

volume_geometry_index.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:498a8c48626ef796d3bf64ab6e0f68a812f0664b43fe2d6d2ad43aa4c3808f0c
+size 5059571

volume_geometry_index_schema.json

@@ -0,0 +1,71 @@
+{
+  "table_description": "This table contains one row per DICOM series from IDC for single-frame CT, MR, and PT SOP classes, with boolean columns characterizing the geometric properties of each series. The checks determine whether the series forms a regularly-spaced rectilinear 3D volume (consistent orientation, spacing, dimensions, and slice positions). Series that do not pass all checks may still be usable with additional processing such as resampling or acquisition geometry correction (e.g., for variable-spacing or gantry-tilted acquisitions). Oblique-aware: uses projection-based slice position computation, which handles gantry-tilted CT, oblique MR, and axial PET uniformly.",
+  "columns": [
+    {
+      "name": "SeriesInstanceUID",
+      "type": "STRING",
+      "mode": "NULLABLE",
+      "description": "unique identifier of the DICOM series"
+    },
+    {
+      "name": "single_orientation",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if all instances share the same ImageOrientationPatient (DICOM attribute)"
+    },
+    {
+      "name": "orthogonal_orientation",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if the cross product of row and column orientation vectors has unit magnitude (within orientationTolerance), confirming orthogonal direction cosines"
+    },
+    {
+      "name": "unique_slice_positions",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if every instance has a distinct slice position along the volume normal, i.e. no duplicate or overlapping slices"
+    },
+    {
+      "name": "consistent_in_plane_row",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if the projection of ImagePositionPatient onto the row direction is constant across all instances (within inPlaneTolerance)"
+    },
+    {
+      "name": "consistent_in_plane_col",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if the projection of ImagePositionPatient onto the column direction is constant across all instances (within inPlaneTolerance)"
+    },
+    {
+      "name": "consistent_pixel_spacing",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if all instances share the same PixelSpacing (DICOM attribute)"
+    },
+    {
+      "name": "consistent_image_dimensions",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if all instances share the same Rows and Columns values (DICOM attributes)"
+    },
+    {
+      "name": "uniform_slice_spacing",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if the spacing between consecutive slices is constant (within relativeSliceTolerance, a relative fraction of expected spacing)"
+    },
+    {
+      "name": "obliquity_degrees",
+      "type": "FLOAT",
+      "mode": "NULLABLE",
+      "description": "angle in degrees between the slice normal and the nearest cardinal axis (X, Y, or Z in patient coordinates); 0 means pure axial, sagittal, or coronal; values above 0 indicate oblique acquisition or gantry tilt"
+    },
+    {
+      "name": "regularly_spaced_3d_volume",
+      "type": "BOOLEAN",
+      "mode": "NULLABLE",
+      "description": "TRUE if all individual checks pass, indicating the series forms a regularly-spaced rectilinear 3D volume that can be loaded directly into a 3D array without resampling"
+    }
+  ]
+}