FIRE-AE delivers evidence-based, customizable services across Earth observation, applied research, and astrophysical data workflows.
An example map featuring population change, and focusing a specific country-Türkiye on the inset.
Here is an example literature review and bibliographic note preparation by FIRE-AE,
10th issue of Science Ascend,
covering the preprints published in November 5-11, 2024 in astrophysics, analytical and environmental chemistry, remote sensing, and data decomposition techniques.
Training programs of FIRE-AE can be accessed via: FIRE-AE Training page..
Here is a quick Mikhulski Archive for Space Telescope (MAST) Python environment data filtering and downloading MAST downloader Jupyter Notebook. The representative is JWST Mid-Infrared Imager (MIRI) SUB256 array data. For example, you can upload this to your Google Drive account and run directly from Google Colab freely. While using MAST website directly to download several files, bulk analysis is much comfortable and regular via Python. As you can see from examples, listing relevant proposals and number of data files they have, as well as downloading them to your Drive is quite simple.
