331 to 340 of 454 Results
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
Tabular Data - 5.6 KB - 6 Variables, 200 Observations - UNF:6:yoEZgNLv0WxITvJQANbfmw==
csv file for 'Fig4d.xlsx' |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
MS Excel Spreadsheet - 16.8 KB -
MD5: edd9ee0d7223e09d2d60fea131d5340d
Column A: demodulation frequency (Hz);
Column B: Electric noise;
Column C: demodulation frequency (kHz);
Column D: laser noise;
Column E-F: minimum detectable field by CE-Ramsey and CW-ODMR |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
Tabular Data - 137.1 KB - 14 Variables, 1638 Observations - UNF:6:/3lrPQDFHVbLS3rq9cOq/A==
csv file for 'Fig5.xlsx' |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
MS Excel Spreadsheet - 188.0 KB -
MD5: 1a312b4d76d3c86a572e28f911d87536
Column A: frequency for optically pumped magnetometer (OPM);
Column B: OPM measured field spectrum;
Column C, F, K: frequency for diamond sensor;
Column D-E: noise spectrum measured by diamond magnetometer with and without MW on resonance;
Column G: noise measurement without ferrite;
Column H: frequency for measurement with ferrite;
Column I, J: re... |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
Python Source Code - 6.7 KB -
MD5: e7f0f70a14f4f44afda85cdfa25d1ae1
codes for the simulation to calculate data in fig3b and fig3d |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
Tabular Data - 110.8 KB - 6 Variables, 1600 Observations - UNF:6:5WRoUT6FF6oZcAGZHczASw==
csv file of recovery2.xlsx |
May 10, 2022 -
Replication Data for: Diamond magnetometry and gradiometry towards subpicotesla DC field measurement
MS Excel Spreadsheet - 134.4 KB -
MD5: feee7f2f52d2987154d3eea5fe5a8b75
Data for the simulation of NV- kinetics. The data is the fluorescence recovery curves under different laser power. The file is imported by the codes in the file 'PL_kinetics.py' |
Waveform Audio - 683.6 KB -
MD5: b0494fa615da3cc58b2876d4110079cd
melody signal sent for detection |
Waveform Audio - 1.5 MB -
MD5: 229e2a8a5691d7fe3365a7d60d0299ba
melody reconstructed from the NV detected signal |
Waveform Audio - 136.8 KB -
MD5: bee50632d8d51eaf0e8e6573512a8720
speech signal for detection |