{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "Justyna Zwolak", "hasEmail": "mailto:justyna.zwolak@nist.gov"}, "description": "SolDet is an object-oriented package for solitonic feature detection in absorption images of Bose-Einstein condensate. with wider use for cold atom image analysis. Featured with classifier, object detector, and Mexican hat metric methods. Technical details are explained in https://arxiv.org/abs/2111.04881.", "identifier": "ark:/88434/mds2-2641", "keyword": ["soliton", "machine learning", "python package"], "landingPage": "https://github.com/usnistgov/SolDet", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2022-05-10 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "theme": ["Physics:Optical physics", "Physics:Atomic, molecular, and quantum"], "title": "SolDet: Solitonic feature detection package"}