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Leaf & Stone Corpus - Singapore (Nanyang Technological University)
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Leaf & Stone Corpus (Singapore 2016) Audio
Version 1.0
Styles, Suzy; Travers Kumar, Juanita; Kovic, Vanja, 2020, "Leaf & Stone Corpus (Singapore 2016) Audio", https://doi.org/10.21979/N9/OF5ZDK, DR-NTU (Data), V1, UNF:6:dmhxhSKAdqqaI1hZczAT9w== [fileUNF]
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3. In the event you become aware of any issues after submitting a User Upload, you will promptly notify DR-NTU (Data) and the relevant DR-NTU (Data) Administrator(s) of any confidentiality, privacy or data protection, licensing, or intellectual property issues regarding the User Uploads;

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5. User Uploads have been given all relevant, obligatory, and applicable approvals for posting such materials with the content included and in the format uploaded, including but not limited to approvals from the Institutional Review Board and third parties with whom Users have relevant contractual obligations; and

6. User Uploads must be void of all identifiable information, such that re-identification of any subjects from the amalgamation of the information available from all of the materials (across datasets and dataverses) uploaded under any one author and/or User should not be possible. Specifically, User Uploads cannot contain social security numbers; credit card numbers; medical record numbers; health plan numbers; other account numbers of individuals; or biometric identifiers (fingerprints, retina, voice, print, DNA, etc.). The only exceptions for when identifiable information is allowed are when:

a. the information has been previously released to the public;
b. the information describes public figures, where the data relates to their public roles or other non-sensitive subjects; or
c. all identified subjects have given explicit informed consent allowing the public release of the information in the dataset.

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Please read the following carefully BEFORE you publish your research data:

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2. User Uploads do not violate any laws;

3. In the event you become aware of any issues after submitting a User Upload, you will promptly notify DR-NTU (Data) and the relevant DR-NTU (Data) Administrator(s) of any confidentiality, privacy or data protection, licensing, or intellectual property issues regarding the User Uploads;

4. User Uploads do not contain software viruses or any other computer codes, files, or programs that are designed or intended to disrupt, damage, limit or interfere with the proper function of any software, hardware, or telecommunications equipment or to damage or obtain unauthorized access to any system, data files, or other information of DR-NTU (Data) or any third party;

5. User Uploads have been given all relevant, obligatory, and applicable approvals for posting such materials with the content included and in the format uploaded, including but not limited to approvals from the Institutional Review Board and third parties with whom Users have relevant contractual obligations; and

6. User Uploads must be void of all identifiable information, such that re-identification of any subjects from the amalgamation of the information available from all of the materials (across datasets and dataverses) uploaded under any one author and/or User should not be possible. Specifically, User Uploads cannot contain social security numbers; credit card numbers; medical record numbers; health plan numbers; other account numbers of individuals; or biometric identifiers (fingerprints, retina, voice, print, DNA, etc.). The only exceptions for when identifiable information is allowed are when:

a. the information has been previously released to the public;
b. the information describes public figures, where the data relates to their public roles or other non-sensitive subjects; or
c. all identified subjects have given explicit informed consent allowing the public release of the information in the dataset.

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