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Merge pull request #100 from ImagingDataCommons/general-notebook-cleanup
cosmetic fixes
2 parents 418827f + c0ff798 commit 34bb350

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notebooks/advanced_topics/clinical_data_intro.ipynb

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"\n",
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"Prepared: July 2022\n",
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"Updated: Jan 2025"
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"Updated: Feb 2026"
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"* read IDC paper: https://doi.org/10.1148/rg.230180\n",
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"* watch a recent presentation about IDC: https://youtu.be/P9ateg9ZUEs"
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]
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},
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{
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"cell_type": "markdown",
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"## Support\n",
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"\n",
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"If you have any questions about this notebook, please post your question on the [IDC User Forum](https://discourse.canceridc.dev) or [open an issue](https://github.com/ImagingDataCommons/IDC-Tutorials/issues/new) in the [IDC Tutorials repository](https://github.com/ImagingDataCommons/IDC-Tutorials)."
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]
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{
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"## Acknowledgments\n",
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"\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003I.\n",
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"\n",
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"If you use IDC in your research, please cite the following publication:\n",
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"\n",
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"> Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. _National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence_. RadioGraphics (2023). [https://doi.org/10.1148/rg.230180](https://doi.org/10.1148/rg.230180)"
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notebooks/advanced_topics/dicom_private_tags_intro.ipynb

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"\n",
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"Initial release: Dec 2023\n",
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"Updated: Jan 2025\n",
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"Updated: Feb 2026\n",
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"\n",
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"---\n",
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"Share your feedback or ask questions about this tutorial in IDC Forum: https://discourse.canceridc.dev."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Support\n",
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"\n",
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"If you have any questions about this notebook, please post your question on the [IDC User Forum](https://discourse.canceridc.dev) or [open an issue](https://github.com/ImagingDataCommons/IDC-Tutorials/issues/new) in the [IDC Tutorials repository](https://github.com/ImagingDataCommons/IDC-Tutorials)."
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]
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"## Acknowledgments\n",
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"\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l.\n",
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"\n",
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"If you use IDC in your research, please cite the following publication:\n",
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notebooks/advanced_topics/gcs_aws_direct_access.ipynb

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"Updated: Feb 2026"
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"cell_type": "markdown",
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"source": [
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"## Support\n",
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"\n",
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"If you have any questions about this notebook, please post your question on the [IDC User Forum](https://discourse.canceridc.dev) or [open an issue](https://github.com/ImagingDataCommons/IDC-Tutorials/issues/new) in the [IDC Tutorials repository](https://github.com/ImagingDataCommons/IDC-Tutorials)."
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},
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"## Acknowledgments\n",
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"\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l.\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003I.\n",
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"\n",
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"If you use IDC in your research, please cite the following publication:\n",
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"\n",
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"> Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. _National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence_. RadioGraphics (2023). [https://doi.org/10.1148/rg.230180](https://doi.org/10.1148/rg.230180)"
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}

notebooks/advanced_topics/idc_dicomweb_access.ipynb

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"Questions? Ask those at the IDC forum here: https://discourse.canceridc.dev.\n",
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"## Support\n",
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"\n",
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"If you have any questions about this notebook, please post your question on the [IDC User Forum](https://discourse.canceridc.dev) or [open an issue](https://github.com/ImagingDataCommons/IDC-Tutorials/issues/new) in the [IDC Tutorials repository](https://github.com/ImagingDataCommons/IDC-Tutorials)."
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"\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l.\n",
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"Imaging Data Commons has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003I.\n",
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"> Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. _National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence_. RadioGraphics (2023). [https://doi.org/10.1148/rg.230180](https://doi.org/10.1148/rg.230180)"
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notebooks/advanced_topics/idc_on_aws/idc-on-aws-tutorial.ipynb

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"If you have any questions about this notebook, please post your question on the [IDC User Forum](https://discourse.canceridc.dev) or [open an issue](https://github.com/ImagingDataCommons/IDC-Tutorials/issues/new) in the [IDC Tutorials repository](https://github.com/ImagingDataCommons/IDC-Tutorials)."
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