{
    "data_id": "41971",
    "name": "1DUltrasoundMuscleContractionData",
    "exact_name": "1DUltrasoundMuscleContractionData",
    "version": 1,
    "version_label": "1.0",
    "description": "This collection includes 21 data sets of one-dimensional ultrasound raw RF data (A-Scans) acquired from the calf muscles of 8 healthy volunteers. The subjects were asked to manually annotate the data to allow for muscle contraction classification tasks. Each line of the ARFF file contains an A-Scan consisting of 3000 amplitude values, an annotation (whether this A-Scan belongs to a contracted muscle (1) or not (0)), the ID of the subject and the ID of the data set.",
    "format": "ARFF",
    "uploader": "Lukas Brausch",
    "uploader_id": 8996,
    "visibility": "public",
    "creator": "\"Lukas Brausch\",\"Holger Hewener and Paul Lukowicz\"",
    "contributor": null,
    "date": "2019-07-03 11:43:48",
    "update_comment": null,
    "last_update": "2019-07-03 11:43:48",
    "licence": "CC_BY-NC-SA",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/21379331\/completeDatabase.arff",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
        "input": [
            "1DUltrasoundMuscleContractionData",
            "This collection includes 21 data sets of one-dimensional ultrasound raw RF data (A-Scans) acquired from the calf muscles of 8 healthy volunteers. The subjects were asked to manually annotate the data to allow for muscle contraction classification tasks. Each line of the ARFF file contains an A-Scan consisting of 3000 amplitude values, an annotation (whether this A-Scan belongs to a contracted muscle (1) or not (0)), the ID of the subject and the ID of the data set. "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 212872,
        "NumberOfFeatures": 4,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 0,
        "NumberOfInstancesWithMissingValues": 0,
        "NumberOfNumericFeatures": 3,
        "NumberOfSymbolicFeatures": 0,
        "ClassEntropy": null,
        "MeanNoiseToSignalRatio": null,
        "Quartile2AttributeEntropy": null,
        "Dimensionality": 1.8790634747641775e-5,
        "MeanNominalAttDistinctValues": null,
        "Quartile2KurtosisOfNumericAtts": -1.4999939467158028,
        "EquivalentNumberOfAtts": null,
        "MeanSkewnessOfNumericAtts": 0.3673335524703758,
        "Quartile2MeansOfNumericAtts": 3.770416024648878,
        "MajorityClassPercentage": null,
        "MeanStdDevOfNumericAtts": 2.9091017410910105,
        "Quartile2MutualInformation": null,
        "MajorityClassSize": null,
        "MinAttributeEntropy": null,
        "Quartile2SkewnessOfNumericAtts": 0.38131568663502846,
        "MaxAttributeEntropy": null,
        "MinKurtosisOfNumericAtts": -1.7468840511604633,
        "PercentageOfBinaryFeatures": 0,
        "Quartile2StdDevOfNumericAtts": 2.8372854896728996,
        "MaxKurtosisOfNumericAtts": -1.1761719184540165,
        "MinMeansOfNumericAtts": 0.37802059453560194,
        "PercentageOfInstancesWithMissingValues": 0,
        "Quartile3AttributeEntropy": null,
        "MaxMeansOfNumericAtts": 11.44808147618024,
        "MinMutualInformation": null,
        "PercentageOfMissingValues": 0,
        "Quartile3KurtosisOfNumericAtts": -1.1761719184540165,
        "MaxMutualInformation": null,
        "MinNominalAttDistinctValues": null,
        "PercentageOfNumericFeatures": 75,
        "Quartile3MeansOfNumericAtts": 11.44808147618024,
        "MaxNominalAttDistinctValues": null,
        "MinSkewnessOfNumericAtts": 0.21756236001617224,
        "PercentageOfSymbolicFeatures": 0,
        "Quartile3MutualInformation": null,
        "MaxSkewnessOfNumericAtts": 0.5031226107599267,
        "MinStdDevOfNumericAtts": 0.4848939359966145,
        "Quartile1AttributeEntropy": null,
        "Quartile3SkewnessOfNumericAtts": 0.5031226107599267,
        "MaxStdDevOfNumericAtts": 5.405125797603517,
        "MinorityClassPercentage": null,
        "Quartile1KurtosisOfNumericAtts": -1.7468840511604633,
        "Quartile3StdDevOfNumericAtts": 5.405125797603517,
        "MeanAttributeEntropy": null,
        "MinorityClassSize": null,
        "Quartile1MeansOfNumericAtts": 0.37802059453560194,
        "StdvNominalAttDistinctValues": null,
        "MeanKurtosisOfNumericAtts": -1.474349972110094,
        "NumberOfBinaryFeatures": 0,
        "Quartile1MutualInformation": null,
        "MeanMeansOfNumericAtts": 5.198839365121573,
        "Quartile1SkewnessOfNumericAtts": 0.21756236001617224,
        "AutoCorrelation": null,
        "MeanMutualInformation": null,
        "Quartile1StdDevOfNumericAtts": 0.4848939359966145
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Demographics"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "ascan",
            "index": "0",
            "type": "string",
            "distinct": "212872",
            "missing": "0"
        },
        {
            "name": "annotation",
            "index": "1",
            "type": "numeric",
            "distinct": "2",
            "missing": "0",
            "min": "0",
            "max": "1",
            "mean": "0",
            "stdev": "0"
        },
        {
            "name": "subjectID",
            "index": "2",
            "type": "numeric",
            "distinct": "8",
            "missing": "0",
            "min": "1",
            "max": "8",
            "mean": "4",
            "stdev": "3"
        },
        {
            "name": "dataSetID",
            "index": "3",
            "type": "numeric",
            "distinct": "21",
            "missing": "0",
            "min": "1",
            "max": "21",
            "mean": "11",
            "stdev": "5"
        }
    ],
    "nr_of_issues": 0,
    "nr_of_downvotes": 0,
    "nr_of_likes": 0,
    "nr_of_downloads": 0,
    "total_downloads": 0,
    "reach": 0,
    "reuse": 0,
    "impact_of_reuse": 0,
    "reach_of_reuse": 0,
    "impact": 0
}