Combine Projects

The Combine Projects tab merges multiple datasets—each covering different spectral or temporal regions under similar experimental conditions—onto a single, unified grid. After selecting the source datasets, the user chooses overlap-handling and gap-extrapolation rules. TAPAS then builds the merged data matrix, saves it as a new root dataset in a separate HDF5 project, and records links to all parent projects. The resulting project offers a coherent data surface for downstream analysis while preserving full provenance of every original measurement.

• Load Projects Widget

  • Insert datapath:

    Populate the writable line with a TAPAS HDF project by using the Browse button, pasting the file path or by drag-drop.

  • Browse:

    Opens a file-dialog where the path to the TAPAS HDF project path can be added.

  • use:

    select which dataset should be used for merging. The valid dataset intervall will be displayed automatically.

  • Load:

    Load the dataset of the project.

• Combine Projects Widget

  After loading both project files and datasets, a unified dataset can be created.

  • Overlapping Range use:

    If both datasets have an overlapping range, TAPAS will use either Project1, Project2 or average the values of both projects.

  • Interpolation Method:

    the method used to create the unified grid. uses scipy.interpolate.interpn for nearest, linear, cubic and bicubic (splinef2d)

  • Extrapolation Method:

    select how missing values in the unified grid are handled (eg. at grid edges).

    • zero:

      set every missing value to zero

    • linear:

      linearly interpolate the missing values using numpy.interp

  • Preview:

    preview the newly created dataset in the canvas.

  • Apply:

    create the new dataset and set it as raw data of a new project. Caution: unsaved changes to the current project are not saved. The new project links the raw and used data for the merged data.