Collection Browser

The collection browser shows the datasets used in ACE. New types of data created using the Template Editor are shown here alongside the original data that ship with ACE:

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Click on image to expand

The example here shows the combined Fairbanks/Shackleton sea level record.  The original published sources for the collection data supplied with ACE are listed here. The Collection Browser shows that the Fairbanks/Shackleton data collection is of type ‘Sea Level’ (listed at the top of the panel), with values for time and sea level shown in the main viewer.

The Collection Browser is also used to import new data.  If you have a new sea level record, or other type of data that you want ACE to use, new data can be imported using the Create Data Collection button:

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Click on image to expand

  • Collection Name is the name of the record to be imported, and should be a string which allows the source to be identified (Author, Year, doi, url etc). By Convention we use the Template (eg Sea Level), the Surname or the First Author and then the Year with a ‘+’ for other Authors for hybrid records.  This is as compact a form as we can think of.
  • Based On allows the type of data being imported to be selected, based on types created in the Template Editor.
  • Path to CSV File allows users to type or select the file containing the dataset they wish to import.  The file format should be windows column separated values (csv) with no header, and with columns ordered the same way as in the template specification.

When a record has been imported using the collection browser it can be accessed within the cosmogenic nuclide routines.  To access the dataset within the code we use the collections.get routine.  Here is an example using the Korte and Konstable 2005 cutoff rigidity data used in the Lifton 2008 scaling:

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To access the data just specify the index you want from the collection browser:

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As ACE is bundled with scipy, a collection of scientific tools for python, your imported dataset can then be interpolated, integrated/differentiated, transformed, etc.