{"code": 200, "status": "0", "detail": "Success", "data": {"content": {"identifier": "31253.11.sciencedb.01337", "urls": ["https://www.scidb.cn/detail?dataSetId=3b54b623efc944a9928eb2059454c0db"], "alternativeIdentifiers": [{"identifierValue": "10.11922/sciencedb.01337", "identifierType": "04"}], "resourceType": "11", "identificationStatus": 2, "resolveCount": 0, "viewCount": 0, "resourceChineseName": "CRMSCD", "resourceName": "CRMSCD", "descriptionCN": "China region meteorological satellite cloud image dataset (CRMSCD) is constructed based on the L1 data product of FY-4A satellite and the cloud classification results of Himawari-8 satellite through time selection, projection transformation, geometric calibration, time and space alignment, region cropping and file format conversion. The final results contain FY-4A daily images and corresponding Himawari-8 labels at 3:30 and 4:30 from 1 January 2020 to 31 July 2020, which are saved in Tag Image File Format (TIFF) format. CRMSCD contains nine cloud types(Nimbus (Ns), Stratus (St), Cumulus (Cu), Cirrus (Ci), Deep Convective Cloud (Dc), Cirrostratus (Cs), Altocumulus (Ac), Altostratus (As), and Stratocumulus (Sc)) and the clear sky (cloudless). The study area ranges in longitude from 80°E to 139.95°E and in latitude from 5°N to 54°N, which can be used for cloud recognition (pixel level classification) and conforms to the world Meteorological Organization standard.", "descriptionEN": "China region meteorological satellite cloud image dataset (CRMSCD) is constructed based on the L1 data product of FY-4A satellite and the cloud classification results of Himawari-8 satellite through time selection, projection transformation, geometric calibration, time and space alignment, region cropping and file format conversion. The final results contain FY-4A daily images and corresponding Himawari-8 labels at 3:30 and 4:30 from 1 January 2020 to 31 July 2020, which are saved in Tag Image File Format (TIFF) format. CRMSCD contains nine cloud types(Nimbus (Ns), Stratus (St), Cumulus (Cu), Cirrus (Ci), Deep Convective Cloud (Dc), Cirrostratus (Cs), Altocumulus (Ac), Altostratus (As), and Stratocumulus (Sc)) and the clear sky (cloudless). The study area ranges in longitude from 80°E to 139.95°E and in latitude from 5°N to 54°N, which can be used for cloud recognition (pixel level classification) and conforms to the world Meteorological Organization standard.", "creators": [{"creatorNameCN": "Zhanjie Wang", "creatorNameEN": "Zhanjie Wang", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50, https://ror.org/05qbk4x57", "creatorOrganizationIdentifierType": 1}, {"creatorNameCN": "Jianghua Zhao", "creatorNameEN": "Jianghua Zhao", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50", "creatorOrganizationIdentifierType": 1}, {"creatorNameCN": "Ran Zhang", "creatorNameEN": "Ran Zhang", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50, https://ror.org/05qbk4x57", "creatorOrganizationIdentifierType": 1}, {"creatorNameCN": "Qinghui Lin", "creatorNameEN": "Qinghui Lin", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50", "creatorOrganizationIdentifierType": 1}, {"creatorNameCN": "Xuezhi Wang", "creatorNameEN": "Xuezhi Wang", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50", "creatorOrganizationIdentifierType": 1}, {"creatorNameCN": "Zheng Li", "creatorNameEN": "Zheng Li", "creatorIdentifier": "", "creatorOrganizationCN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationEN": "Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China", "creatorOrganizationIdentifier": "https://ror.org/01s0wyf50", "creatorOrganizationIdentifierType": 1}], "submitOrgName": "", "registerOrganizationCN": "科学数据银行", "registerOrganizationEN": "Science Data Bank", "publicationDate": "2022-01-05", "shareChannel": 1, "shareRange": 2, "subjectClassifications": [{"subjectName": ["170"], "subjectNameStandard": "01", "keyWordsCN": ["cloud recognition", "semantic segmentation", "meteorological satellite cloud image"]}], "copyrights": [{"copyrightDescription": "CC BY 4.0"}]}}}