Data Access Tcia license 4 international |
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Note to curators! This macro is for collections that are restricted due to facial reconstruction possibility.
Data Type | Download all or Query/Filter | License |
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Images, Segmentations (NIfTI, 1.4 TB)
| Complete dataset Tcia button generator |
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complete data on faspex |
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) | | BraTS 2021 Training set in batches of XXX PatientID Images, Segmentations (NIfTI, 1.4 TB) | batch1 (ID PP to QQ) Tcia button generator |
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batch1 |
batch2 (ID XX to YY) Tcia button generator |
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batch2 |
(and so on)
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package)
| | BraTS 2021 Validation set in batches of XXX PatientID Images, Segmentations (NIfTI, 1.4 TB) |
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batch1 |
Tcia button generator |
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batch2 |
(Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package)
| | BraTS Task2 Radiogenomics Classifier task images (DICOM?, GB) | - link to faspex for nifti
- link to GDC/PDC if the detail are there
| ( is this open license stuff?) | BraTS Task2 Radiogenomics Classifier task molecular marker table (JSON/XLS/CSV spreadsheet, MB) | - download JSON/XLS/CSV spreadsheet or
- if external link to RSNA/Kaggle's accompanying molecular marker table , depending on how they want to do thatthat would go below not in this table
| ( is this open license stuff?) |
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| Clinical data (CSV)
| | | the "challenge test set dataset" is sequestered on synapse as a tarball of nii & seg & age & diagnosis. | Not available. Please see <website> for more detail. | |
Click the Versions tab for more info about data releases. Additional Resources for this DatasetSource data for this challenge: Images from TCGA-LGG that have been transformed for use in this challenge - 108 Subjects (DICOM, 8.5 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/24282668/doiJNLP-JAMS4RFq.tcia?api=v2 |
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| TCGA-LGG |
Note: Limited Access. Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . | | Images from TCGA-GBM that have been transformed for use in this challenge- 135 subjects (DICOM, 6 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/24282666/doiJNLP-QoOaKUdn.tcia?api=v2 |
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| TCGA-GBM |
Note: Limited Access. Click the Download | button to button to save a ".tcia" manifest file | to your computer, which you must open with the | | Images from Ivy GAP that have been transformed for use in this challenge- XXX subjects (DICOM, XX GB) |
Tcia button generator |
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Ivy GAP |
Note: Limited Access. Click the Download | button to button to save a ".tcia" manifest file | to your computer, which you must open with | | CPTAC-GBM DICOM | | | UCSF-PDGM DICOM (note Evan didn't give this to us – only nifti so far) | | | UPENN-GBM DICOM ( others) | | | Transformation matrices DICOM to NII (zip, XXMB) | | |
Clinical data (CSV) Tcia button generator |
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| the "challenge test set dataset" is sequestered on synapse as a tarball of nii & seg & age & diagnosis. | Not available. Please see <website> for more detail. | | Click the Versions tab for more info about data releases. Additional Resources for this DatasetNote to curators! Use this any time you are linking to NCI's IDC/GDC/PDC resources. The links below are examples and will need to be tailored to point to the specific dataset (see parameters in URLS). Nci_crdc additional resources |
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Note to curators! Below are examples for what to do with other external resources/links that don't fit into the above categories. The following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection. - Software / Code on Github
- Genomics data in DbGAP
- Genomics data in Gene Expression Omnibus
- RSNA or kaggle link to molecular marker table if they only provide us a link
Third Party Analyses of this DatasetTCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection: - <these get filled in as groups cite the dataset in their papers related to analysis of the 2021 task 1 & task2 using this Collection's DOI>
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