gateway.yaml

# Here we map certain binary / example data to URLs. These can change over time, with using this gateway instead of
# URLs directly you should always be pointed to the most recent link and must be direct downloads
# hashs are sha256

code: https://github.com/TuragaLab/DECODE/archive/master.zip

examples:
  experimental_data_workflow:
    name: experimental_data_workflow
    comment: experimental data, i.e. frames, raw beads, spline calib., prefit, model, param
    url: https://oc.embl.de/index.php/s/q952kfh2lKjR52J/download
    hash: 5582980564c0c6406230a9078cc991e5836abf8456405ec1056b2cdb7afa747a

  package_1:
    name: package_1
    comment: experimental data, frames, trained model, all in one.
    url: https://oc.embl.de/index.php/s/j2kCCILAS5oLO8B/download
    hash: 418aa36686ea52de47117946f9dd53eb449f4dad1a38948adc786a59efb34100

  smlm_challenge:
    name: smlm_challenge
    comment: 3D Astigmatic and Double-Helix PSF and parameters, SMLM Challenge
    url: https://oc.embl.de/index.php/s/dHxddIZ5zA0DDwx/download
    hash:

  colab_uhd_2020-07-23:
    name: uhd_2020-07-23
    comment: Colab training data.
    url: https://oc.embl.de/index.php/s/7Duj5GOceYR3HqJ/download
    hash: 6d6abb86ac796c5290a0beaf1bb2056122feec2cbef3b28295f7d57ec3833bab

  colab_train_experimental_rc:
    name: colab_train_experimental
    comment: RC Colab data for training.
    url: https://oc.embl.de/index.php/s/KVQ77pmWG9WGVXO/download
    hash:

  colab_uhd_2020-07-23_fit:
    name: uhd_2020-07-23_fit
    comment: Colab fitting data. Includes cropped version experimental data (of example package 1) and model.
    url: https://oc.embl.de/index.php/s/V6hdzqv9Erc2mtM/download
    hash: 411e1d455066323cc15b97e93683b822618d3b4aecdbca37d39d04e558641bec

  colab_fit_experimental_rc:
    name: colab_fit_experimental_rc
    comment: RC Colab fitting data. Includes cropped version experimental data (of example package 1) and model.
    url: https://oc.embl.de/index.php/s/Xhsin2EfyoCREVM/download
    hash:


wheels:
  decode: https://github.com/TuragaLab/DECODE/releases/download/v0.10.2/decode-0.10.2-py3-none-any.whl
  spline_py310: https://oc.embl.de/index.php/s/o0xEOLC1m4dYmAs/download