Dark solitons in BECs dataset
type: Dataset
description: The data set consists of 6257 labeled images of Bose-Einstein condensates (BECs) with and without solitonic excitations, including kink solitons and solitonic vortices. Each element of the data set contains a masked image (132x164 pixels) of 2D atomic density used to train the machine learning model used in the paper "Machine-learning enhanced dark soliton detection in Bose-Einstein condensates," (https://arxiv.org/abs/2101.05404), and a label indicating the class a given image belongs to (0 indicates no solitons, 1 indicates a single soliton, and 2 indicates other excitations). The data structure file and project description are included with the data. This data set was used to train a deep convolutional neural network to automatically recognize whether or not a lone dark soliton has been created in BECs that was then implemented within an automated soliton detection and positioning system (see https://arxiv.org/abs/2101.05404 for details).
issued: 2021-02-22
language: {en}
modified: 2021-02-17T00:00:00
contact point: Organization
  fn: Justyna Zwolak
keyword: amerigeo
keyword: amerigeoss
keyword: bose-einstein-condensates
keyword: ckan
keyword: dark-solitons
keyword: geo
keyword: geoss
keyword: machine-learning
keyword: national
keyword: north-america
keyword: united-states
theme: Atomic
theme: Optical physics"
theme: and quantum"}
theme: molecular

License
type: Distribution
description: license.txt
format: TEXT
issued: 2021-03-11T17:24:00.534442
modified: 2025-11-21T19:00:24.812909
access URL: https://data.nist.gov/od/ds/mds2-2363/license.txt
media type: text/plain

DOI Access for Dark solitons in BECs dataset
type: Distribution
issued: 2021-03-11T17:24:00.534437
modified: 2025-11-21T19:00:24.812503
access URL: https://doi.org/10.18434/mds2-2363

Text File
type: Distribution
format: TEXT
issued: 2022-06-22T02:05:29.621893
modified: 2025-11-21T19:00:24.814451
access URL: https://data.nist.gov/od/ds/ark:/88434/mds2-2363/data_files.zip.sha256
media type: text/plain

A list of images used in final test of the ML model
type: Distribution
description: This data was not included during the model development and training.
format: TEXT
issued: 2021-03-11T17:24:00.534432
modified: 2025-11-21T19:00:24.811722
access URL: https://data.nist.gov/od/ds/mds2-2363/test_data%282101-05404%29.txt
media type: text/plain

Text File
type: Distribution
format: TEXT
issued: 2021-03-11T17:24:00.534428
modified: 2025-11-21T19:00:24.811325
access URL: https://data.nist.gov/od/ds/ark:/88434/mds2-2363/data.zip.sha256
media type: text/plain

SHA256 File for License
type: Distribution
format: TEXT
issued: 2021-03-11T17:24:00.534452
modified: 2025-11-21T19:00:24.814082
access URL: https://data.nist.gov/od/ds/mds2-2363/license.txt.sha256
media type: text/plain

SHA256 File for A list of images used in final test of the ML model
type: Distribution
format: TEXT
issued: 2021-03-11T17:24:00.534444
modified: 2025-11-21T19:00:24.813300
access URL: https://data.nist.gov/od/ds/mds2-2363/test_data%282101-05404%29.txt.sha256
media type: text/plain

Zip File
type: Distribution
description: data.zip
format: ZIP
issued: 2021-03-11T17:24:00.534421
modified: 2025-11-21T19:00:24.810896
access URL: https://data.nist.gov/od/ds/ark:/88434/mds2-2363/data.zip
media type: application/zip

SHA256 File for A list of images used to develop and train the ML model
type: Distribution
format: TEXT
issued: 2021-03-11T17:24:00.534447
modified: 2025-11-21T19:00:24.813701
access URL: https://data.nist.gov/od/ds/mds2-2363/train_data%282101-05404%29.txt.sha256
media type: text/plain

A list of images used to develop and train the ML model
type: Distribution
description: train_data%282101-05404%29.txt
format: TEXT
issued: 2021-03-11T17:24:00.534434
modified: 2025-11-21T19:00:24.812114
access URL: https://data.nist.gov/od/ds/mds2-2363/train_data%282101-05404%29.txt
media type: text/plain

US Migrating
type: Agent