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Scripts from: Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models

Data Citation:

Brandsen, S., Chandrasekhar, T., Franz, L., Grapel, J., Dawson, G., & Carlson, D. (2024). Scripts from: Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models. Duke Research Data Repository. https://doi.org/10.7924/r4xw4mn8r
Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation

Data Citation:

Wang, B., Zhang, J., Li, Z., Grill, W. M., Peterchev, A. V., & Goetz, S. M. (2022). Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r4wd41f7d
Data from: Machine Learning-based Rowhammer Mitigation

Data Citation:

Joardar, B. K., Bletsch, T.K., Chakrabarty, K. (2022). Data from: Machine learning-based rowhammer mitigation. Duke Research Data Repository. https://doi.org/10.7924/r4hh6p604
Data from: Benchmarking deep learning architectures for artificial electromagnetic material problems

Data Citation:

Deng, Y., Dong, J., Khatib, O., Malof, J., Padilla, W., Ren, S., Soltani, M., & Tarokh, V. (2021). Data from: Benchmarking deep learning architectures for artificial electromagnetic material problems. Duke Research Data Repository. https://doi.org/10.7924/r4jm2bv29
Data from: Lightning Initiation from Fast Negative Breakdown is Led by Positive Polarity Dominated Streamers

Data Citation:

Huang, A. (2020). Data from: Lightning Initiation from Fast Negative Breakdown is Led by Positive Polarity Dominated Streamers. Duke Research Data Repository. https://doi.org/10.7924/r44m97j8v
Data from: Indirectly measured ambient electric fields for lightning initiation in fast breakdown regions

Data Citation:

Cummer, S. A. (2020). Data from: Indirectly measured ambient electric fields for lightning initiation in fast breakdown regions. Duke Digital Repository. https://doi.org/10.7924/r4g44p43t
Data from: Lightning initiation processes imaged with very high frequency broadband interferometry

Data Citation:

Lyu, F., Cummer, S., Qin, Z., Chen, M. (2018). Data from: Lightning initiation processes imaged with very high frequency broadband interferometry. Duke Digital Repository. https://doi.org/10.7924/r48c9vs2c
Data and scripts from: Cycle-expansion method for the Lyapunov exponent, susceptibility, and higher moments

Data Citation:

Charbonneau, P., Li, Y. (C.), Pfister, H. D., & Yaida, S. (2017). Cycle-expansion method for the Lyapunov exponent, susceptibility, and higher moments. Duke Digital Repository. https://doi.org/10.7924/G88050N6
Data from: Energetic radio emissions and possible terrestrial gamma-ray flashes associated with downward propagating negative leaders

Data Citation:

Lyu, F. (2018). Data from: Energetic radio emissions and possible terrestrial gamma-ray flashes associated with downward propagating negative leaders. Duke Digital Repository. https://doi.org/10.7924/r4j963v4s
Data from: Very high frequency radio emissions associated with the production of terrestrial gamma-ray flashes

Data Citation:

Lyu, F., Cummer, S. A., Krehbiel, P. R., Rison, W., Briggs, M. S., Cramer, E., Roberts, O., Stanbro, M. (2018). Data from: Very high frequency radio emissions associated with the production of terrestrial gamma-ray flashes. Duke Digital Repository. https://doi.org/10.7924/r4r49kc2m

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Subject

Lightning3
Atmospheric electricity2
Interferometry2
Lightning initiation2
Terrestrial gamma-ray flash2
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Creator

Cummer, Steven A.3
Lyu, Fanchao3
Bletsch, Tyler K.1
Brandsen, Sam1
Carlson, David1
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TXT7
MAT5
PDF4
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Electrical and Computer Engineering[remove]10
Psychiatry & Behavioral Sciences2
Biomedical Engineering1
Chemistry1
Duke Center for Autism and Brain Development1
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Dataset10

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Current results range from 2017 to 2024

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