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codemeta.json
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{
"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"license": "https://spdx.org/licenses/BSD-3-Clause",
"codeRepository": "https://gitlab.com/ska-telescope/sdc/sdc1-solution",
"contIntegration": "https://gitlab.com/ska-telescope/sdc/sdc1-solution/-/pipelines",
"dateCreated": "2021-09-24",
"datePublished": "2021-09-24",
"dateModified": "2021-09-24",
"downloadUrl": "https://gitlab.com/ska-telescope/sdc/sdc1-solution",
"issueTracker": "https://gitlab.com/ska-telescope/sdc/sdc1-solution/-/issues",
"name": "SKAO Science Data Challenge 1 Solution Workflow",
"version": "1.0.0",
"softwareVersion": "1.0.0",
"readme": "https://github.com/JColl88/sdc1-solution-binder/blob/main/README.md",
"description": "The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images.\nHere we present an environment and workflow for producing a solution to this challenge that can easily be reproduced and developed further.",
"applicationCategory": "Astronomy",
"funding": "H2020 ESCAPE",
"keywords": [
"astronomy",
"skao",
"data",
"source finding",
"machine learning"
],
"programmingLanguage": ["Python 3"],
"runtimePlatform": ["Docker"],
"operatingSystem": ["Linux", "macOS"],
"softwareRequirements": ["Python 3.6+"],
"maintainer": "James Collinson",
"author": [
{
"@type": "Person",
"givenName": "James",
"familyName": "Collinson",
"email": "[email protected]",
"affiliation": {
"@type": "Organization",
"name": "SKA Observatory"
}
},
{
"@type": "Person",
"givenName": "Alex",
"familyName": "Clarke",
"email": "[email protected]",
"affiliation": {
"@type": "Organization",
"name": "SKA Observatory"
}
},
{
"@type": "Person",
"givenName": "Rob",
"familyName": "Barnsley",
"email": "[email protected]",
"affiliation": {
"@type": "Organization",
"name": "SKA Observatory"
}
}
]
}