Collab_Dataset/DATASETS.json

{
    "tracking": {
        "description": "whisker and nose tracking, based on high-speed videos taken at 200 Hz, and analyzed using the python 'videobatch' program.",
        "reference": [
            {
                "role": "is-analyzed-using",
                "name": "videobatch",
                "uri":  "https://github.com/gwappa/python-videobatch"
            },
            {
                "role": "is-performed-by",
                "name": "Sina E. Dominiak",
                "uri":  null
            },
            {
                "role": "is-performed-by",
                "name": "Keisuke Sehara",
                "uri":  "https://orcid.org/0000-0003-4368-8143"
            }
        ],
        "domains": {
            "projection": {
                "description": "per-trial or per-session maximal projection images.",
                "mimetype":    "image/png",
                "suffix":      ".png"
            },
            "ROI": {
                "description": "B/W masks for ROIs to track colors from.",
                "mimetype":    "image/png",
                "suffix":      ".png"
            },
            "tracked": {
                "description": "the CSV files containing tracked object positions in pixels. 'Slice' represents the ZERO-STARTING frame index in the video of origin.",
                "mimetype":    "text/csv",
                "suffix":      ".csv"
            },
            "states": {
                "description": "the CSV files containing information about correspondence between trial numbers, video frames (ONE-STARTING) and behavioral states.",
                "mimetype":    "text/csv",
                "suffix":      ".csv"
            }
        }
    }
}