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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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Fig2C_trace_vs_physical_properties.png
Fig2C_trace_vs_physical_properties.png
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
PNG Image - 417.9 KB - MD5: 934ff157d8103ff8e3ea7ad84eb13cd8
Fig2C_trace_vs_physical_properties.svg
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
SVG Image - 99.6 KB - MD5: 305403b24099000ba8220565122335c1
Fig2D_resolution_limit_vs_SNR.png
Fig2D_resolution_limit_vs_SNR.png
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
PNG Image - 148.0 KB - MD5: d9ec26d7cedf6c4fe739f4ccdd43b8a7
Fig2D_resolution_limit_vs_SNR.svg
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
SVG Image - 76.6 KB - MD5: a1bfae335bb54e672a8d639856bc01f3
fig2.py
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Python Source Code - 6.6 KB - MD5: 4f98a8c6a6ffff6be25b15de8afb6837
fig2_sweep_results.npz
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Unknown - 16.3 KB - MD5: 2b9a6e59f0ebe163a0aa139fc2bfb4d0
fig3.py
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Python Source Code - 7.4 KB - MD5: 1e41ea7ce286e7a43810bf1743a39049
figS2.py
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Python Source Code - 3.6 KB - MD5: 3554713e92d8a7606a0b804ce3c8172f
FigS3_J_a_plot.pdf
FigS3_J_a_plot.pdf
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
Adobe PDF - 20.1 KB - MD5: 0a2337ae516a20eb099310ffedfec532
FigS3_J_a_plot.png
FigS3_J_a_plot.png
Aug 17, 2026 - Resolution and robustness bounds for reconstructive spectrometers
PNG Image - 72.9 KB - MD5: e6e1ccc26babe1d415ce6286dd2bc4c7
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