10.26204/DATA/27 Mischke, Patrick Patrick Mischke https://orcid.org/0000-0001-7859-8426 Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Department of Physics and Research Center OPTIMAS Max Planck Graduate Center with Johannes Gutenberg University Mainz (MPGC) Niederprüm, Thomas Thomas Niederprüm https://orcid.org/0000-0001-8336-4667 Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Department of Physics and Research Center OPTIMAS Ott, Herwig Herwig Ott https://orcid.org/0000-0002-3155-2719 Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Department of Physics and Research Center OPTIMAS Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau 2026 Rydberg Gases Ultracold Gases Self-organized Systems Open Quantum Systems Neural Network Critical Phenomena Fleischhauer, Michael Michael Fleischhauer https://orcid.org/0000-0003-4059-7289 Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau Scheuss, Volker Volker Scheuss https://orcid.org/0000-0002-0659-3228 Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau Creative Commons Attribution 4.0 International European Union Public License 1.2 This data repository contains the raw data and evaluation scripts that our findings in the paper „Simulating neural network criticality and resource dynamics with Rydberg gases“ are based on. The data mostly consists of ion arrival timestamps obtained from ultracold Rubidium gases under off-resonant coupling to a Rydberg state (in h5 format) and sequence information for measurements with varying parameters, e.g. phase diagrams (in csv format). We use this data to show that this system has an active active absorbing state phase transition and to analyze emergent phenomena in the long-term steady state. The evaluation and interpretation of the data is presented in the aforementioned paper. Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659 277625399 TR 185 OSCAR Research initiative Quantum Computing for Artificial Intelligence (QC-AI) Max Planck Graduate Center MPGC with the University of Mainz