{
  "accessLevel": "public",
  "bureauCode": [
    "010:12"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "Phillip Goodling",
    "hasEmail": "mailto:pgoodling@usgs.gov"
  },
  "description": "This dataset consists of tabular data of observed streamflow, URL links to timelapse images, and deep learning model predictions for 11 sites in western Massachusetts. The dataset also includes a record of annotation data used to train the deep learning models. This data release is supporting information for an associated journal article describing the data collection, development of the deep learning models, and the interpretation of estimated relative streamflow produced by the models.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "accessURL": "https://doi.org/10.5066/P14LU6CQ",
      "description": "Landing page for access to the data",
      "format": "XML",
      "mediaType": "application/http",
      "title": "Digital Data"
    },
    {
      "@type": "dcat:Distribution",
      "description": "The metadata original format",
      "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.66f1a7c8d34e0606a9dc83dc.xml",
      "format": "XML",
      "mediaType": "text/xml",
      "title": "Original Metadata"
    }
  ],
  "identifier": "http://datainventory.doi.gov/id/dataset/USGS_66f1a7c8d34e0606a9dc83dc",
  "keyword": [
    "USGS:66f1a7c8d34e0606a9dc83dc",
    "deep learning",
    "geoscientificInformation",
    "imagery",
    "inlandWaters",
    "streamflow estimation"
  ],
  "modified": "2025-03-11T00:00:00Z",
  "publisher": {
    "@type": "org:Organization",
    "name": "U.S. Geological Survey"
  },
  "spatial": "-72.6944, 42.4143, -72.3817, 42.7034",
  "theme": [
    "geospatial"
  ],
  "title": "Model Predictions, Observations, and Annotation Data for Deep Learning Models Developed to Estimate Relative Flow at 11 Massachusetts Streamflow Sites, 2017-2024"
}