Next: E. Other publications, public Up: pub Previous: C. Conference proceedings
| 50. | Brandenburg, A., & Banerjee, A.: 2024, Datasets for “Turbulent magnetic decay controlled by two conserved quantities” v2024.06.18. Zenodo, DOI:10.5281/zenodo.10527437 (HTML) |
| 49. | Brandenburg, A., Neronov, A., & Vazza, F.: 2024, Datasets for “Resistively controlled primordial magnetic turbulence decay” v2024.01.18. Zenodo, DOI:10.5281/zenodo.10527437 (HTML, DOI, DOI) |
| 48. | Sharma, R., Dahl, J., Brandenburg, A., & Hindmarsh, M.: 2023, Datasets for “Shallow relic gravitational wave spectrum with acoustic peak” v2023.11.10. Zenodo, DOI:10.5281/zenodo.10101985 (HTML, DOI) |
| 47. | Iarygina, O., Sfakianakis, E. I., Sharma, R.. & Brandenburg, A.: 2023, Datasets for “Backreaction of axion-SU(2) dynamics during inflation” v2023.11.05. Zenodo, DOI:10.5281/zenodo.10072163 (HTML, DOI) |
| 46. | Brandenburg, A., & Protiti, N. N.: 2023, Datasets for “Electromagnetic conversion into kinetic and thermal energies” v2023.08.01. Zenodo, DOI:10.5281/zenodo.8203242 (HTML, DOI) |
| 45. | Brandenburg, A., Clarke, E., Kahniashvili, T., Long, A. J., & Sun, G.: 2023, Datasets for “Relic gravitational waves from the chiral plasma instability in the standard cosmological model” v2023.07.17. Zenodo, DOI:10.5281/zenodo.8157463 (HTML, DOI) |
| 44. | Brandenburg, A., Sharma, R., & Vachaspati, T.: 2023, Datasets for “Inverse cascading for initial MHD turbulence spectra between Saffman and Batchelor” v2023.07.09. Zenodo, DOI:10.5281/zenodo.8128611 (HTML, DOI) |
| 43. | Brandenburg, A., Kamada, K., Mukaida, K., Schmitz, K., & Schober, J.: 2023, Datasets for “Chiral magnetohydrodynamics with zero total chirality” v2023.08.20. Zenodo, DOI:10.5281/zenodo.8267336 (HTML, DOI) |
| 42. | Sarin, N., Brandenburg, A., & Haskell, B.: 2023, Supplemental Material to “Confronting the neutron star population with inverse cascades” v2023.06.27. Zenodo, DOI:10.5281/zenodo.8088084 (HTML, DOI) |
| 41. | Mizerski, K. A., Yokoi, N., & Brandenburg, A.: 2023, Datasets for “Cross-helicity effect on  -type dynamo in non-equilibrium turbulence” v2023.02.28. Zenodo, DOI:10.5281/zenodo.7683615
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| 40. | Brandenburg, A., Kamada, K., & Schober, J.: 2023, Datasets for “Decay law of magnetic turbulence with helicity balanced by chiral fermions” v2023.02.01. Zenodo, DOI:10.5281/zenodo.7499431 (HTML) |
| 39. | Brandenburg, A.: 2023, Datasets for “Quadratic growth during the COVID-19 pandemic: merging hotspots and reinfections” v2023.01.02. Zenodo, DOI:10.5281/zenodo.7499431 (HTML, DOI) |
| 38. | Brandenburg, A.: 2022, Datasets for “Hosking integral in nonhelical Hall cascade” v2022.11.24. Zenodo, DOI:10.5281/zenodo.7357799 (HTML, DOI) |
| 37. | He, Y., Roper Pol, A., & Brandenburg, A.: 2022, Datasets of “Modified propagation of gravitational waves from the early radiation era” v2022.11.16. Zenodo, DOI:10.5281/zenodo.7327770 (HTML, DOI) |
| 36. | Brandenburg, A., Rogachevskii, I., & Schober, J.: 2022, Datasets for “Dissipative magnetic structures and scales in small-scale dynamos” v2022.9.18. Zenodo, DOI:10.5281/zenodo.7090887 (HTML, DOI) |
| 35. | Carenza, P., Sharma, R., Marsh, M. C. D., Brandenburg, A., Müller, E.: 2022, Datasets for “Magnetohydrodynamics predicts heavy-tailed distributions of axion-photon conversion” v2022.8.8. Zenodo, DOI:10.5281/zenodo.8342138 (HTML, DOI, DOI) |
| 34. | Brandenburg, A., Zhou, H., & Sharma, R.: 2022, Datasets for “Batchelor, Saffman, and Kazantsev spectra in galactic small-scale dynamos” v2022.07.19. Zenodo, DOI:10.5281/zenodo.7281479 (HTML, DOI) |
| 33. | Zhou, H., Sharma, R., & Brandenburg, A.: 2022, Datasets for “Scaling of the Hosking integral in decaying magnetically-dominated turbulence” v2022.06.14. Zenodo, DOI:10.5281/zenodo.7112885 (HTML, DOI) |
| 32. | Sharma, R., & Brandenburg, A.: 2022, Supplemental Material and Datasets for “Low frequency tail of gravitational wave spectra from hydromagnetic turbulence” v2022.08.22. Zenodo, DOI:10.5281/zenodo.7014823 (HTML, DOI) |
| 31. | Käpylä, M. J., Rheinhardt, M., & Brandenburg, A.: 2022, Datasets for “Fully compressible test-field method and its application to shear dynamos” v2022.03.24. Zenodo, DOI:10.5281/zenodo.6383190 (HTML, DOI) |
| 30. | Brandenburg, A., & Ntormousi, E.: 2021, Datasets for “Dynamo effect in unstirred self-gravitating turbulence” v2021.12.06. Zenodo, DOI:10.5281/zenodo.5760126 (HTML, DOI) |
| 29. | Kahniashvili, T., Clarke, E., Stepp, J., & Brandenburg, A.: 2021, Datasets for “Big bang nucleosynthesis limits and relic gravitational waves detection prospects” v2021.11.18. Zenodo, DOI:10.5281/zenodo.5709176 (HTML, DOI) |
| 28. | Roper Pol, A., Mandal, S., Brandenburg, A., & Kahniashvili, T.: 2021, Datasets for “Polarization of gravitational waves from helical MHD turbulent sources” v2021.09.24. Zenodo, DOI:10.5281/zenodo.5525504 (HTML, DOI) |
| 27. | He, Y., Roper Pol, A., & Brandenburg, A.: 2021, Datasets for “Leading-order nonlinear gravitational waves from reheating magnetogeneses” v2021.09.23. Zenodo, DOI:10.5281/zenodo.5524454 (HTML, DOI) |
| 26. | Brandenburg, A., He, Y., & Sharma, R.: 2021, Datasets for “Simulations of helical inflationary magnetogenesis and gravitational waves” v2021.07.26. Zenodo, DOI:10.5281/zenodo.5137202 (HTML, DOI) |
| 25. | Brandenburg, A., & Sharma, R.: 2021, Datasets for “Simulating relic gravitational waves from inflationary magnetogenesis” v2021.06.04. Zenodo, DOI:10.5281/zenodo.4900075 (HTML, DOI) |
| 24. | Li, X.-Y., Mehlig, B., Svensson, G., Brandenburg, A., & Haugen, N. E. L.: 2021, Datasets for “Collision fluctuations of lucky droplets with superdroplets” v2021.05.07. Zenodo, DOI:10.5281/zenodo.4742786 (HTML, DOI) |
| 23. | Haugen, N. E. L., Brandenburg, A., Sandin, C., & Mattsson, L.: 2021, Datasets for “Spectral characterisation of inertial particle clustering in turbulence” v2021.05.02. Zenodo, DOI:10.5281/zenodo.4733175 (HTML, DOI) |
| 22. | He, Y., Brandenburg, A., & Sinha, A.: 2021, Datasets for “Spectrum of turbulence-sourced gravitational waves as a constraint on graviton mass” v2021.04.06. Zenodo, DOI:10.5281/zenodo.4666074 (HTML, DOI) |
| 21. | Brandenburg, A., Clarke, E., He, Y., & Kahniashvili, T.: 2021, Datasets for “Can we observe the QCD phase transition-generated gravitational waves through pulsar timing arrays?” v2021.02.24. Zenodo, DOI:10.5281/zenodo.4560423 (HTML, DOI) |
| 20. | Brandenburg, A., He, Y., Kahniashvili, T., Rheinhardt, M., & Schober, J.: 2021, Datasets for “Gravitational waves from the chiral magnetic effect,” v2021.01.18. Zenodo, DOI:10.5281/zenodo.4448211 (HTML, DOI) |
| 19. | Haugen, N. E. L., & Brandenburg, A.: 2020, Datasets for “Hydrodynamic and hydromagnetic energy spectra from large eddy simulations,” v2020.12.08. DOI:10.5281/zenodo.4311391 (HTML, DOI) |
| 18. | Jakab, P., & Brandenburg, A.: 2020, Datasets for “The effect of a dynamo-generated field on the Parker wind,” v2020.11.22. DOI:10.5281/zenodo.4284439 (HTML, DOI) |
| 17. | Kahniashvili, T., Brandenburg, A., Gogoberidze, G., Mandal, S., & Roper Pol, A.: 2020, Datasets for “Circular polarization of gravitational waves from early-universe helical turbulence,” v2020.11.07. DOI:10.5281/zenodo.4256906 (HTML, DOI) |
| 16. | Brandenburg, A., & Das, U.: 2020, Datasets for “Turbulent radiative diffusion and turbulent Newtonian cooling,” v2020.10.13b. DOI:10.5281/zenodo.4086046 (HTML, DOI) |
| 15. | Merski, M.: 2020, Datasets for “A simple model to predict future SARS-CoV-2 infections on a national level,” v2020.10.11. DOI:10.5281/zenodo.4256906 (HTML, DOI) |
| 14. | Brandenburg, A.: 2020, Datasets for “Piecewise quadratic growth during the 2019 novel coronavirus epidemic,” v2020.09.07. DOI:10.5281/zenodo.4016941 (HTML, DOI) |
| 13. | Brandenburg, A.: 2020, Datasets for “Hall cascade with fractional magnetic helicity in neutron star crusts,” v2020.07.20. DOI:10.5281/zenodo.3951873 (HTML, HTML, DOI) |
| 12. | Brandenburg, A., & Furuya, R. S.: 2020, Datasets for “Application of a helicity proxy to edge-on galaxies,” v2020.06.17. DOI:10.5281/zenodo.3897954 (HTML, HTML, DOI) |
| 11. | Prabhu, A., Brandenburg, A., Käpylä, M. J., & Lagg, A.: 2020, Datasets for “Helicity proxies from linear polarisation of solar active regions,” v2020.06.10. DOI:10.5281/zenodo.3888575 (HTML, DOI) |
| 10. | Pusztai, I., Juno, J., Brandenburg, A., TenBarge, J. M., Hakim, A., Francisquez, M., & Sundström, A.: 2020, Datasets for “Dynamo in weakly collisional non-magnetized plasmas impeded by Landau damping of magnetic fields,” v1. DOI:10.5281/zenodo.3886562 (HTML, HTML, DOI) |
| 9. | Brandenburg, A., & Brüggen, M.: 2020, Datasets for “Hemispheric handedness in the Galactic synchrotron polarization foreground,” v2020.05.24. DOI:10.5281/zenodo.3841900 (HTML, HTML, DOI) |
| 8. | Roper Pol, A., Mandal, S., Brandenburg, A., Kahniashvili, T., & Kosowsky, A.: 2020, Datasets for “Numerical Simulations of Gravitational Waves from Early-Universe Turbulence”' v2020.02.28. DOI:10.5281/zenodo.3692072 (HTML, DOI) |
| 7. | Brandenburg, A., & Scannapieco, E.: 2019, Datasets for “Magnetic helicity dissipation and production in an ideal MHD code,” v2019.11.11. DOI:10.5281/zenodo.3534739 (HTML, DOI) |
| 6. | Brandenburg, A., & Chen, L.: 2019, Datasets for “The nature of mean-field generation in three classes of optimal dynamos,” v2019.11.02. DOI:10.5281/zenodo.3526056 (HTML, DOI) |
| 5. | Brandenburg, A.: 2019, Scientific usage of the Pencil Code, v2019.10.01. DOI:10.5281/zenodo.3466444 (ADS, HTML, HTML, DOI) |
| 4. | Brandenburg, A., Kahniashvili, T., Mandal, S., Roper Pol, A., Tevzadze, A. G., & Vachaspati, T.: 2019, Datasets for “Dynamo effect in decaying helical turbulence,” v2019.07.21. DOI:10.5281/zenodo.3345134 (HTML, HTML, DOI) |
| 3. | Gosain, S., & Brandenburg, A.: 2019, Datasets for “Spectral magnetic helicity of solar active regions between 2006 and 2017,” v2019.07.16. DOI:10.5281/zenodo.3338302 (HTML, HTML, DOI) |
| 2. | Li, X.-Y., Svensson, G., Brandenburg, A., & Haugen, N. E. L.: 2019, Datasets for “Cloud droplet growth due to supersaturation fluctuations in stratiform clouds,” v2019.01.11. DOI:10.5281/zenodo.2538027 (HTML, HTML, DOI) |
| 1. | Brandenburg, A., on behalf of the Pencil Code Collaboration: 2018, Pencil Code v2018.12.16. DOI:10.5281/zenodo.2315093 and 3961647 (ADS, HTML, DOI) |