# X-Ray Computed Tomography JSON-LD

#### Thomas Ciardi, Roger H. French

#### 2023-08-09

## XCT JSON-LD Description

In XCT JSON-LD template, a sample corresponds to an XCT image taken during an experiment. It encloses relevant experimental metadata from the sample being imaged, machinery used, and image information. More detailed structure is shown in the schema diagram below.

## Creating JSON-LD for XCT in R

    library(FAIRmaterials)

    # An example data frame for XCT
    xct_data <- data.frame(
      'SampleID' = c('sx_0001_0000', 'sx_0032_1245'),
      'Alloy' = c('AlMg', 'AlMg'),
      'SequenceNumber' = c('0001', '0032'),
      'StackNumber' = c('0000', '1245'),
      'FilePath' = c('/home/0001_0000.tiff', '/home/0032_1245.tiff'),
      'Load' = c(10, 16)
    )

    # This will generate json-ld files for the example data
    # Be sure to put in exact domain name as shown in fairify_data documentation.
    # See ?fairify_data for domain names.
    xct_output <- fairify_data(xct_data, domain = 'XCT')

## Creating JSON-LD for XCT in Python

    from fairmaterials.fairify_data import *
    import pandas as pd

    # Create an example data frame for XCT
    data = pd.DataFrame(
      'SampleID' = ['sx_0001_0000', 'sx_0032_1245'],
      'Alloy' = ['AlMg', 'AlMg'],
      'SequenceNumber' = ['0001', '0032'],
      'StackNumber' = ['0000', '1245'],
      'FilePath' = ['/home/0001_0000.tiff', '/home/0032_1245.tiff'],
      'Load' = [10, 16]
    )

    # This will generate JSON-LD file for the example data
    output <- fairify_data(data, domain = 'XCT')

## XCT schema diagram

XCT schema diagram

## Acknowledgment

This material is based upon work supported by the Department of Energy (National Nuclear Security Administration) under Award Number(s) DE-NA0004104.