CITATION.cff

cff-version: 1.2.0
title: PIXLISE Data Formats
message: >-
  Cite this repository for the data formats of the PIXLISE
  spectroscopy analysis tool
type: software
authors:
  - given-names: Peter
    family-names: Nemere
    email: peter.nemere@qut.edu.au
    affiliation: Queensland University of Technology
  - given-names: Tom
    family-names: Barber
    email: tom.barber@jpl.nasa.gov
    affiliation: >-
      Jet Propulsion Laboratory, California Institute of
      Technology
  - given-names: Adrian
    family-names: Galvin
    email: adrian.e.galvin@jpl.nasa.gov
    affiliation: >-
      Jet Propulsion Laboratory, California Institute of
      Technology
  - given-names: Ryan
    family-names: Stonebraker
    email: ryan.a.stonebraker@jpl.nasa.gov
    affiliation: >-
      Jet Propulsion Laboratory, California Institute of
      Technology
  - given-names: S. Michael
    family-names: Fedell
    email: steven.m.fedell@jpl.nasa.gov
    affiliation: >-
      Jet Propulsion Laboratory, California Institute of
      Technology
  - given-names: Austin P.
    family-names: Wright
    email: apwright@gatech.edu
    affiliation: Georgia Institute of Technology
  - given-names: Scott
    family-names: Davidoff
    email: scott.davidoff@jpl.nasa.gov
    affiliation: >-
      Jet Propulsion Laboratory, California Institute of
      Technology
    orcid: 'https://orcid.org/0000-0002-4417-7268'
identifiers:
  - type: doi
    value: 10.5281/zenodo.6959145
    description: >-
      Zenodo persistent reference to latest version, follow
      for specific version and release details
repository-code: 'https://github.com/pixlise/data-formats'
url: 'https://www.pixlise.org/'
abstract: >-
  PIXLISE gives astrobiologists flexible and powerful visual
  analytics tools to quickly analyze and understand
  high-density, spatially-localized, imaging and XRF
  spectroscopy data. A collaboration between scientists,
  engineers and designers, PIXLISE was born out of Data to
  Discovery incubation program for science analysis tools,
  grew as part of JPL's Data Science Program, and elaborated
  into a robust tool through a multi-year partnership
  between Queensland University of Technology (QUT) and the
  Jet Propulsion Laboratory, California Institute of
  Technology.
keywords:
  - astrobiology
  - geology
  - geochemistry
  - petrology
  - human computer interaction
  - spectroscopy
  - x-ray florescence
  - xrf
  - imaging spectroscopy
  - data visualization
  - visual analytics
  - mars 2020
  - perseverance
license: Apache-2.0