Improve the accessability of the LOFAR space weather catalogue

The Low Frequency Array (LOFAR) has proven to be a valuable tool for solar and space weather research, offering high-resolution dynamic imaging spectroscopy and recently some continuous monitoring capabilities. However, the datasets generated by LOFAR are often large and complex, making data reduction and retrieval challenging. Moreover, the Long Term Archive (LTA) poses additional hurdles in accessing solar and space weather data, as it lacks user-friendly searchfunctionalities for these specific datasets and a sensible preview. The extensive number of LOFAR regular observing campaigns, and the real-time monitoring via a single station catalogue for the Incremental development of LOFAR Space-Weather (IDOLS), motivated us to streamline data processing and archiving. We have developed a preliminary catalogue that includes all previous observations, encompassing both dynamic spectrum and imaging data. This catalogue is a critical step towards transforming LOFAR's big data into science-ready, accessible data, thereby enhancing the efficiency and effectiveness of solar and space weather research.