@Article{macau_mods_00003844, author = {Steigies, Christian T. and Fuller, Nicolas}, editor = {B{\"u}tikofer, Rolf and Gil-{\'{S}}widerska, Agnieszka and Klein, Karl-Ludwig and Kryakunova, Olga and Laurenza, Monica and Mavromichalaki, Helen and Ruffolo, David and Sapundjiev, Danislav and Steigies, Christian T. and Strauss, Du Toit and B{\"u}tikofer, Rolf and Gil-{\'{S}}widerska, Agnieszka and Klein, Karl-Ludwig and Kryakunova, Olga and Laurenza, Monica and Mavromichalaki, Helen and Ruffolo, David and Sapundjiev, Danislav and Steigies, Christian and Strauss, Du Toit}, title = {Accessing NMDB data using NEST and pandas}, journal = {NMDB@Athens: Proceedings of the hybrid symposium on cosmic ray studies with neutron detectors, September 26-30, 2022}, year = {2023}, publisher = {Universit{\"a}tsverlag Kiel | Kiel University Publishing}, address = {Kiel}, volume = {2}, pages = {211--217}, keywords = {cosmic rays; neutron monitor; database; python; data science; solar energetic particles; neutron detection; heliosphere; space weather; atmospheric effects}, abstract = {The Neutron Monitor database (NMDB) was created by teams from 12 different countries in 2008. Data from neutron monitors worldwide is pooled and made available, for many stations in real-time. The NMDB Event Search Tool (NEST) started as a quick-look interface to the data in NMDB, but by now has become the main interface to all NMDB data. NEST does not only enable you to plot data from one or several NMDB stations in a very customizable way, it also allows you to retrieve the data in ASCII format for further processing or creating your own plots. Downloading data can be scripted using `wget' or `curl' as documented in `3 ways 2 use NEST'. Here we are presenting python functions to read in data from one or several stations directly from NEST into a pandas dataframe. Once your data is in a `dataframe', you can easily sort, modify or plot data with python.}, note = {Link zur Konferenzserie in ConfIDent: https://doi.org/10.25798/GZ0N-1212}, note = {Link zur Konferenz in ConfIDent: https://doi.org/10.25798/K2G1-GR46}, isbn = {978-3-928794-99-2}, issn = {2748-3150}, doi = {10.38072/2748-3150/p44}, url = {https://macau.uni-kiel.de/receive/macau_mods_00003844}, url = {https://doi.org/10.38072/2748-3150/p44}, url = {https://doi.org/10.38072/2748-3150/v2}, file = {:https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00005436/kiel-up_2748-3150_p44.pdf:PDF}, language = {en} }