{
  "_schema": "https://data.nist.gov/od/dm/nerdm-schema/v0.7#",
  "@context": [
    "https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",
    {
      "@base": "ark:/88434/mds2-2363"
    }
  ],
  "@type": [
    "nrdp:DataPublication",
    "nrdp:PublicDataResource",
    "dcat:Dataset"
  ],
  "_extensionSchemas": [
    "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"
  ],
  "@id": "ark:/88434/mds2-2363",
  "ediid": "ark:/88434/mds2-2363",
  "version": "2.0.0",
  "title": "Dark solitons in BECs dataset 2.0",
  "contactPoint": {
    "fn": "Justyna Zwolak",
    "hasEmail": "mailto:justyna.zwolak@nist.gov"
  },
  "modified": "2022-05-05 00:00:00",
  "landingPage": "https://data.nist.gov/od/id/mds2-2363",
  "description": [
    "Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical. However, unlike naturally occurring physical systems, the parameters governing BECs are under strict experimental control.",
    "The enlarged Dark solitons in BECs dataset v.2.0 dataset was created to enable the implementation of machine learning (ML) techniques to automate the analysis of data coming from cold atom experiments. It includes quantitative estimates of all longitudinal solitons quality as well as new fine-grained solitonic excitation categories of all detected excitations. It is freely available to the whole ML and physics community the opportunity to develop novel ML techniques for cold atom systems and to further explore the intersection of ML and quantum physics."
  ],
  "keyword": [
    "machine learning",
    "Bose-Einstein condensates",
    "dark solitons"
  ],
  "theme": [
    "Physics: Atomic, molecular, and quantum",
    "Physics: Optical physics"
  ],
  "topic": [
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Physics: Atomic, molecular, and quantum"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Physics: Optical physics"
    }
  ],
  "references": [
    {
      "@type": [
        "npg:Document"
      ],
      "@id": "#ref:10.1088/2632-2153/abed1e",
      "refType": "IsSupplementTo",
      "location": "https://doi.org/10.1088/2632-2153/abed1e",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"
      ],
      "title": "Machine-learning enhanced dark soliton detection in Bose\u2013Einstein condensates",
      "issued": "2021-06-15",
      "citation": "Guo, S., Fritsch, A. R., Greenberg, C., Spielman, I. B., & Zwolak, J. P. (2021). Machine-learning enhanced dark soliton detection in Bose-Einstein condensates. Machine Learning: Science and Technology, 2(3), 035020. https://doi.org/10.1088/2632-2153/abed1e\n"
    },
    {
      "@type": [
        "schema:Article"
      ],
      "@id": "#ref:10.48550/arXiv.2111.04881",
      "refType": "IsSupplementTo",
      "location": "https://doi.org/10.48550/arXiv.2111.04881",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"
      ],
      "title": "Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons",
      "issued": "2021",
      "citation": "Guo, S., Koh, S. M., Fritsch, A. R., Spielman, I. B., &amp; Zwolak, J. P. (2021). Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons. ArXiv. https://doi.org/10.48550/ARXIV.2111.04881"
    }
  ],
  "accessLevel": "public",
  "license": "https://www.nist.gov/open/license",
  "components": [
    {
      "accessURL": "https://doi.org/10.18434/mds2-2363",
      "title": "DOI Access for Dark solitons in BECs dataset",
      "@type": [
        "nrdp:AccessPage",
        "dcat:Distribution"
      ],
      "@id": "#10.18434/mds2-2363",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"
      ]
    },
    {
      "@id": "cmps/train_data(2101-05404).txt.sha256",
      "@type": [
        "nrdp:ChecksumFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "filepath": "train_data(2101-05404).txt.sha256",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/train_data%282101-05404%29.txt.sha256",
      "algorithm": {
        "tag": "sha256",
        "@type": "Thing"
      },
      "describes": "cmps/train_data(2101-05404).txt",
      "description": "SHA-256 checksum value for train_data(2101-05404).txt",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"
      ],
      "mediaType": "text/plain",
      "size": 64,
      "checksum": {
        "hash": "4beebb7f8d8adbdd075537e0f15de8fdec1b29272cfceda3ad7a54939353f8f0",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "valid": true,
      "title": "SHA256 File for A list of images used to develop and train the ML model"
    },
    {
      "@id": "cmps/license.txt.sha256",
      "@type": [
        "nrdp:ChecksumFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "filepath": "license.txt.sha256",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/license.txt.sha256",
      "algorithm": {
        "tag": "sha256",
        "@type": "Thing"
      },
      "describes": "cmps/license.txt",
      "description": "SHA-256 checksum value for license.txt",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"
      ],
      "mediaType": "text/plain",
      "size": 64,
      "checksum": {
        "hash": "fe2f0dbaedb18d7b5b7a374b073b48cf0cc781b7e16370ab6f2c74c1854023e2",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "valid": true,
      "title": "SHA256 File for License"
    },
    {
      "@id": "cmps/data_files.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "data_files.zip",
      "downloadURL": "https://data.nist.gov/od/ds/ark:/88434/mds2-2363/data_files.zip",
      "mediaType": "application/zip",
      "format": {
        "description": "zip"
      },
      "description": "This file includes the 1.6 x 10^4 preprocessed absorption images stored in separate folders corresponding to the five possible classes.",
      "title": "Data files",
      "size": 4327841390,
      "checksum": {
        "hash": "e07532f0e1428cdad0571862a519f4a61aa50c21d97faa9dfc48e43db8e2ff79",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/data_files.zip.sha256",
      "@type": [
        "nrdp:ChecksumFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "filepath": "data_files.zip.sha256",
      "downloadURL": "https://data.nist.gov/od/ds/ark:/88434/mds2-2363/data_files.zip.sha256",
      "algorithm": {
        "tag": "sha256",
        "@type": "Thing"
      },
      "describes": "cmps/data_files.zip",
      "description": "SHA-256 checksum value for data_files.zip",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"
      ],
      "mediaType": "text/plain",
      "size": 64,
      "valid": true,
      "checksum": {
        "hash": "a5027de2f2b28ba68004492f364bec11c8d39358678efaa60f8e7c0c30128c90",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/test_data(2101-05404).txt.sha256",
      "@type": [
        "nrdp:ChecksumFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "filepath": "test_data(2101-05404).txt.sha256",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/test_data%282101-05404%29.txt.sha256",
      "algorithm": {
        "tag": "sha256",
        "@type": "Thing"
      },
      "describes": "cmps/test_data(2101-05404).txt",
      "description": "SHA-256 checksum value for test_data(2101-05404).txt",
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"
      ],
      "mediaType": "text/plain",
      "size": 64,
      "checksum": {
        "hash": "a2f590287c3b2bcb5058cd85556c318f54fd18e7e584d8f0dbc87250a054d2b7",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "valid": true,
      "title": "SHA256 File for A list of images used in final test of the ML model"
    },
    {
      "@id": "cmps/data_info.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "data_info.zip",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/data_info.zip",
      "mediaType": "application/zip",
      "format": {
        "description": "zip"
      },
      "description": "This file includes the label information about the data stored in a human-readable format (data_roster.csv) as well as in a NumPy file (data_roster.npy) compatible with the SolDet package.",
      "title": "Data info",
      "size": 1556163,
      "checksum": {
        "hash": "54b7c25dfaaebe380c3932426e3e6df82b891429ccb0ac440890ee7925e5411c",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/dataset_information.pdf",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "dataset_information.pdf",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/dataset_information.pdf",
      "mediaType": "application/pdf",
      "format": {
        "description": "pdf"
      },
      "description": "This file contains the information about the project for which the dataset was established as well as a detailed data structure description.",
      "title": "Dataset information",
      "size": 456840,
      "checksum": {
        "hash": "ccb9a96c4cae9a46b6790932ccee584f7ceccc7ce189b93b0eaefb0c2ea745d0",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/license.txt",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "license.txt",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/license.txt",
      "mediaType": "text/plain",
      "size": 2282,
      "checksum": {
        "hash": "b34c7cef7d9a65024055a5f9fb2e7b0d11cc4b5b5b2febeaa07cf235c74afda2",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "title": "License"
    },
    {
      "@id": "cmps/test_data(2101-05404).txt",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "test_data(2101-05404).txt",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/test_data%282101-05404%29.txt",
      "mediaType": "text/plain",
      "description": "This data was not included during the model development and training.",
      "size": 33092,
      "checksum": {
        "hash": "44b9df693d6b645438f9c2445a2e653d50219fd09b9641252e8c9629c172f7dc",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "title": "A list of images used in final test of the ML model"
    },
    {
      "@id": "cmps/train_data(2101-05404).txt",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "train_data(2101-05404).txt",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-2363/train_data%282101-05404%29.txt",
      "mediaType": "text/plain",
      "size": 289958,
      "checksum": {
        "hash": "94b11000e8d41eb1028cfe8147ad833c10b45fee18bb664e762a21512bbd1757",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      },
      "title": "A list of images used to develop and train the ML model"
    }
  ],
  "publisher": {
    "name": "National Institute of Standards and Technology",
    "@type": "org:Organization"
  },
  "language": [
    "en"
  ],
  "bureauCode": [
    "006:55"
  ],
  "programCode": [
    "006:045"
  ],
  "doi": "doi:10.18434/mds2-2363",
  "releaseHistory": {
    "@id": "ark:/88434/mds2-2363/pdr:v",
    "@type": [
      "nrdr:ReleaseHistory"
    ],
    "hasRelease": [
      {
        "version": "1.0.0",
        "issued": "2021-02-17",
        "@id": "ark:/88434/mds2-2363/pdr:v/1.0.0",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-2363/pdr:v/1.0.0",
        "description": "initial release"
      },
      {
        "version": "1.1.0",
        "issued": "2021-02-22",
        "@id": "ark:/88434/mds2-2363/pdr:v/1.1.0",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-2363/pdr:v/1.1.0",
        "description": "data update"
      },
      {
        "version": "1.1.1",
        "issued": "2021-11-16",
        "@id": "ark:/88434/mds2-2363/pdr:v/1.1.1",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-2363/pdr:v/1.1.1",
        "description": "metadata update"
      },
      {
        "version": "2.0.0",
        "issued": "2022-09-14",
        "@id": "ark:/88434/mds2-2363/pdr:v/2.0.0",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-2363/pdr:v/2.0.0",
        "description": "zip files added"
      }
    ]
  },
  "issued": "2021-02-22",
  "status": "available",
  "annotated": "2022-09-14T20:48:52.786325",
  "_editStatus": "done",
  "authors": [
    {
      "familyName": "Zwolak",
      "fn": "Justyna P. Zwolak",
      "givenName": "Justyna",
      "middleName": "P.",
      "affiliation": [
        {
          "title": "National Institute of Standards and Technology",
          "subunits": [
            "Applied and Computational Mathematics Division"
          ],
          "@type": "org:Organization",
          "@id": "ror:05xpvk416"
        }
      ],
      "orcid": "0000-0002-2286-3208",
      "@type": "foaf:Person"
    },
    {
      "familyName": "Guo",
      "fn": "Shangjie  Guo",
      "givenName": "Shangjie",
      "middleName": "",
      "affiliation": [
        {
          "title": "University of Maryland",
          "subunits": [
            "Joint Quantum Institute"
          ],
          "@type": "org:Organization"
        }
      ],
      "orcid": "",
      "@type": "foaf:Person"
    },
    {
      "familyName": "Fritsch",
      "fn": "Amilson R. Fritsch",
      "givenName": "Amilson",
      "middleName": "R.",
      "affiliation": [
        {
          "title": "University of Maryland",
          "subunits": [
            "Joint Quantum Institute"
          ],
          "@type": "org:Organization"
        }
      ],
      "orcid": "",
      "@type": "foaf:Person"
    },
    {
      "familyName": "Spielman",
      "fn": "Ian B. Spielman",
      "givenName": "Ian",
      "middleName": "B.",
      "affiliation": [
        {
          "title": "National Institute of Standards and Technology",
          "subunits": [
            "Quantum Measurement Division"
          ],
          "@type": "org:Organization",
          "@id": "ror:05xpvk416"
        }
      ],
      "orcid": "",
      "@type": "foaf:Person"
    }
  ],
  "revised": "2022-09-14T20:48:52.786325"
}