The researcher(s) agree to the following conditions on the Silicodata dataset: 1. The researcher(s) shall have no rights with respect to the Database or any portion thereof and shall not use the Database except as expressly outlined in this Agreement. 2. Re-identification is strictly prohibited. All recipients agree that they will not attempt to re-identify any individual data subjects from the Dataset. The recipients will not publish any information on an individual patient if the individual patient can be identified. Any re-identification of any individual data subject shall be immediately reported to the authors at databases@iab-rubric.org. 3. Subject to the terms and conditions of this agreement, the Silicodata dataset is available for academic and research use only, with a royalty-free, nonexclusive, non-transferable license subject to the following conditions: a. The Database must not be copied, distributed, published, or reproduced in any form except for creating a secure backup by the registered user. Sharing, transferring, or disclosing any part or the entirety of the dataset to third parties, in any form, is strictly prohibited without prior written authorization from the IAB Lab. Any individual or organization wishing to access or use the Dataset must independently register and agree to all terms and conditions outlined in this DUA. b. The Dataset must not be used for clinical purposes, including diagnosis or patient care, without appropriate approvals from relevant authorities. IIT Jodhpur and the IAB Lab assume no liability for any outcomes resulting from clinical use. c. Any violation of this DUA or other impermissible use shall be grounds for immediate termination of use of the Dataset d. Any work made public, whatever the form, based directly or indirectly on any part of the Database will include the following reference: Reference: (To be updated) Bibtex: @article{Akhter2024, author = "Yasmeena Akhter and Rishabh Ranjan and Mayank Vatsa and Richa Singh and Santanu Chaudhury and Anjali Agarwal and Shruti Aggarwal and Arjun Kalyanpur and Anurita Menon", title = "{Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection}", year = "2025", month = " ", url="", doi = " "} Endnote: Akhter, Y. et al. Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection.
To obtain access to the dataset, please email the duly filled-out license agreement to databases@iab-rubric.org with the subject line "Licence Agreement for the Silicodata Dataset."
The license agreement has to be signed by someone having the legal authority to sign on behalf of the institute, such as the head of the institution or registrar. If a license agreement is signed by someone else, it will not be processed further.
1. The researcher(s) shall have no rights with respect to the Database or any portion thereof and shall not use the Database except as expressly outlined in this Agreement. 2. Re-identification is strictly prohibited. All recipients agree that they will not attempt to re-identify any individual data subjects from the Dataset. The recipients will not publish any information on an individual patient if the individual patient can be identified. Any re-identification of any individual data subject shall be immediately reported to the authors at databases@iab-rubric.org. 3. Subject to the terms and conditions of this agreement, the Silicodata dataset is available for academic and research use only, with a royalty-free, nonexclusive, non-transferable license subject to the following conditions: a. The Database must not be copied, distributed, published, or reproduced in any form except for creating a secure backup by the registered user. Sharing, transferring, or disclosing any part or the entirety of the dataset to third parties, in any form, is strictly prohibited without prior written authorization from the IAB Lab. Any individual or organization wishing to access or use the Dataset must independently register and agree to all terms and conditions outlined in this DUA. b. The Dataset must not be used for clinical purposes, including diagnosis or patient care, without appropriate approvals from relevant authorities. IIT Jodhpur and the IAB Lab assume no liability for any outcomes resulting from clinical use. c. Any violation of this DUA or other impermissible use shall be grounds for immediate termination of use of the Dataset d. Any work made public, whatever the form, based directly or indirectly on any part of the Database will include the following reference:
Reference: (To be updated) Bibtex: @article{Akhter2024, author = "Yasmeena Akhter and Rishabh Ranjan and Mayank Vatsa and Richa Singh and Santanu Chaudhury and Anjali Agarwal and Shruti Aggarwal and Arjun Kalyanpur and Anurita Menon", title = "{Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection}", year = "2025", month = " ", url="", doi = " "} Endnote: Akhter, Y. et al. Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection.
Write to access the password of the zip file via databases@iab-rubric.org
1. The researcher(s) shall have no rights with respect to the Database or any portion thereof and shall not use the Database except as expressly outlined in this Agreement. 2. Re-identification is strictly prohibited. All recipients agree that they will not attempt to re-identify any individual data subjects from the Dataset. The recipients will not publish any information on an individual patient if the individual patient can be identified. Any re-identification of any individual data subject shall be immediately reported to the authors at databases@iab-rubric.org. 3. Subject to the terms and conditions of this agreement, the Silicodata dataset is available for academic and research use only, with a royalty-free, nonexclusive, non-transferable license subject to the following conditions: a. The Database must not be copied, distributed, published, or reproduced in any form except for creating a secure backup by the registered user. Sharing, transferring, or disclosing any part or the entirety of the dataset to third parties, in any form, is strictly prohibited without prior written authorization from the IAB Lab. Any individual or organization wishing to access or use the Dataset must independently register and agree to all terms and conditions outlined in this DUA. b. The Dataset must not be used for clinical purposes, including diagnosis or patient care, without appropriate approvals from relevant authorities. IIT Jodhpur and the IAB Lab assume no liability for any outcomes resulting from clinical use. c. Any violation of this DUA or other impermissible use shall be grounds for immediate termination of use of the Dataset d. Any work made public, whatever the form, based directly or indirectly on any part of the Database will include the following reference: Reference: (To be updated) Bibtex: @article{Akhter2024, author = "Yasmeena Akhter and Rishabh Ranjan and Mayank Vatsa and Richa Singh and Santanu Chaudhury and Anjali Agarwal and Shruti Aggarwal and Arjun Kalyanpur and Anurita Menon", title = "{Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection}", year = "2025", month = " ", url="", doi = " "} Endnote: Akhter, Y. et al. Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection.
