.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/01_datasets/06_plot_dataset_json.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_01_datasets_06_plot_dataset_json.py: .. _datasets_json: ====================================================== Create a legacy NiMARE Dataset object from a JSON file ====================================================== Here, we present the structure of the JSON/dict input format to create a :class:`~nimare.dataset.Dataset` class from scratch. .. warning:: This JSON structure is the legacy Dataset input format. New projects should generally use :class:`~nimare.nimads.Studyset` instead. For the preferred workflow, see :ref:`nimads_object`. .. GENERATED FROM PYTHON SOURCE LINES 18-20 .. code-block:: Python :dedent: 1 .. GENERATED FROM PYTHON SOURCE LINES 22-28 Data Structure ----------------------------------------------------------------------------- A JSON file is organized as a nested dictionary structure containing neuroimaging study data. Each study may contain one or multiple contrasts. Each contrast could have coordinates, associated images, metadata, and text information. The data will be mapped to five core DataFrames: annotations, coordinates, images, metadata, and texts. .. GENERATED FROM PYTHON SOURCE LINES 30-53 Study Dictionary ----------------------------------------------------------------------------- - Every study is assigned a unique identifier (study_id), which is defined by the user (e.g., "pain_01.nidm"). - Every study contains a ``contrasts`` dictionary holding all the contrasts for that study. Each contrast is assigned a unique identifier (contrast_id), which is also defined by the user (e.g., "1"). .. code-block:: python { "": { "contrasts": { "": { "annotations": {...}, "coords": {...}, "images": {...}, "metadata": {...}, "text": {...}, } } } } .. GENERATED FROM PYTHON SOURCE LINES 55-58 Contrast Dictionary ----------------------------------------------------------------------------- Each contrast contains five main dictionaries: .. GENERATED FROM PYTHON SOURCE LINES 60-71 1. **Annotations Dictionary** (`annotations`) ````````````````````````````````````````````````````````````````````````````` - Contains labels and annotations. - Optional for studies. .. code-block:: python "annotations": { "label": str, # Label for the contrast "description": str # Description of the contrast } .. GENERATED FROM PYTHON SOURCE LINES 73-85 2. **Coordinates Dictionary** (`coords`) ````````````````````````````````````````````````````````````````````````````` - Includes space information and x, y, and z coordinates. .. code-block:: python "coords": { "space": str, # e.g., "MNI" "x": List[float], # x-coordinates "y": List[float], # y-coordinates "z": List[float] # z-coordinates } .. GENERATED FROM PYTHON SOURCE LINES 88-100 3. **Images Dictionary** (`images`) ````````````````````````````````````````````````````````````````````````````` - Contains paths to statistical maps. Possible keys are "beta", "se", "t", and "z". .. code-block:: python "images": { "beta": str, # Path to contrast image "se": str, # Path to standard error image "t": str, # Path to t-statistic image "z": str # Path to z-statistic image } .. GENERATED FROM PYTHON SOURCE LINES 102-112 4. **Metadata Dictionary** (`metadata`) ````````````````````````````````````````````````````````````````````````````` - Contains study-specific metadata. - Flexible schema for user-defined metadata. .. code-block:: python "metadata": { "sample_sizes": List[int] } .. GENERATED FROM PYTHON SOURCE LINES 114-127 5. **Text Dictionary** (`text`) ````````````````````````````````````````````````````````````````````````````` - Contains study/contrast text information. - Contains keys associated with the linked publication. .. code-block:: python "text": { "title": str, # Study title "keywords": str, # Study keywords "abstract": str, # Study abstract "body": str # Main study text/content } .. GENERATED FROM PYTHON SOURCE LINES 129-132 Example JSON ----------------------------------------------------------------------------- Load the example dataset JSON file .. GENERATED FROM PYTHON SOURCE LINES 132-142 .. code-block:: Python import json import os from nimare.utils import get_resource_path, load_json dset_file = os.path.join(get_resource_path(), "nidm_pain_dset.json") data = load_json(dset_file) .. GENERATED FROM PYTHON SOURCE LINES 143-144 Example of accessing coordinates for a study .. GENERATED FROM PYTHON SOURCE LINES 144-150 .. code-block:: Python study_coords = data["pain_01.nidm"]["contrasts"]["1"]["coords"] x_coords = study_coords["x"] y_coords = study_coords["y"] z_coords = study_coords["z"] print(x_coords[:5], y_coords[:5], z_coords[:5]) .. rst-class:: sphx-glr-script-out .. code-block:: none [48.0, 54.0, 60.0, 60.0, 38.0] [-38.0, -46.0, -30.0, -58.0, 46.0] [-24.0, -26.0, -28.0, -10.0, 6.0] .. GENERATED FROM PYTHON SOURCE LINES 151-152 Example of accessing image paths .. GENERATED FROM PYTHON SOURCE LINES 152-157 .. code-block:: Python study_images = data["pain_01.nidm"]["contrasts"]["1"]["images"] beta_image_path = study_images["beta"] t_stat_path = study_images["t"] print(beta_image_path, t_stat_path) .. rst-class:: sphx-glr-script-out .. code-block:: none pain_01.nidm/Contrast.nii.gz pain_01.nidm/TStatistic.nii.gz .. GENERATED FROM PYTHON SOURCE LINES 158-159 Example of accessing metadata .. GENERATED FROM PYTHON SOURCE LINES 159-163 .. code-block:: Python study_metadata = data["pain_01.nidm"]["contrasts"]["1"]["metadata"] sample_size = study_metadata["sample_sizes"][0] print(sample_size) .. rst-class:: sphx-glr-script-out .. code-block:: none 25 .. GENERATED FROM PYTHON SOURCE LINES 164-167 .. note:: Find more information about the legacy Dataset class that can be created from this JSON file in :ref:`datasets_object`. .. GENERATED FROM PYTHON SOURCE LINES 169-171 Example JSON Structure ----------------------------------------------------------------------------- .. GENERATED FROM PYTHON SOURCE LINES 171-172 .. code-block:: Python print(json.dumps(data, indent=4)) .. rst-class:: sphx-glr-script-out .. code-block:: none { "pain_01.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 48.0, 54.0, 60.0, 60.0, 38.0, 44.0, 52.0, 36.0, -36.0, 26.0, 12.0, -2.0, -60.0, -56.0, -50.0, -56.0 ], "y": [ -38.0, -46.0, -30.0, -58.0, 46.0, -6.0, -4.0, -12.0, -68.0, -80.0, -106.0, -104.0, -52.0, -62.0, -42.0, -66.0 ], "z": [ -24.0, -26.0, -28.0, -10.0, 6.0, 4.0, 6.0, -12.0, -40.0, -48.0, 2.0, -2.0, -10.0, -6.0, -24.0, -12.0 ] }, "images": { "beta": "pain_01.nidm/Contrast.nii.gz", "se": "pain_01.nidm/ContrastStandardError.nii.gz", "t": "pain_01.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 25 ] } } } }, "pain_02.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -36.0, 36.0, 52.0, 36.0, 10.0, -6.0, -8.0, 4.0 ], "y": [ 2.0, 38.0, -22.0, -18.0, -62.0, -94.0, -88.0, -90.0 ], "z": [ -16.0, 30.0, 22.0, 10.0, -10.0, -6.0, -16.0, 2.0 ] }, "images": { "beta": "pain_02.nidm/Contrast.nii.gz", "se": "pain_02.nidm/ContrastStandardError.nii.gz", "t": "pain_02.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 25 ] } } } }, "pain_03.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -58.0, 52.0, 60.0, 12.0, 18.0, 22.0, 32.0, 46.0, -24.0, -26.0, -32.0, -28.0, 8.0, 4.0, -2.0, 0.0 ], "y": [ 10.0, 6.0, 0.0, 10.0, -102.0, -92.0, -92.0, -82.0, -68.0, -66.0, -90.0, -74.0, 2.0, -2.0, 20.0, -4.0 ], "z": [ 8.0, 0.0, 0.0, 0.0, -4.0, -6.0, -12.0, -8.0, -28.0, -40.0, -10.0, -32.0, 60.0, 52.0, 40.0, 60.0 ] }, "images": { "beta": "pain_03.nidm/Contrast.nii.gz", "se": "pain_03.nidm/ContrastStandardError.nii.gz", "t": "pain_03.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 20 ] } } } }, "pain_04.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 54.0, 34.0, 54.0, 34.0, 52.0, 56.0, 36.0, 52.0, 32.0, 20.0, 20.0, 14.0, 8.0, 4.0, 2.0, -8.0, -36.0, -24.0, -34.0, -28.0, -40.0, -32.0, -30.0, -38.0 ], "y": [ -28.0, -20.0, -22.0, -18.0, 4.0, 10.0, 2.0, -8.0, -98.0, -92.0, -100.0, -104.0, 4.0, -6.0, 10.0, -8.0, -90.0, -68.0, -88.0, -98.0, 4.0, 18.0, 16.0, 16.0 ], "z": [ 18.0, 14.0, 16.0, -10.0, -2.0, 8.0, -2.0, -2.0, -14.0, -14.0, -2.0, -6.0, 58.0, 66.0, 50.0, 62.0, -14.0, -36.0, -20.0, -20.0, -14.0, -20.0, 2.0, 10.0 ] }, "images": { "beta": "pain_04.nidm/Contrast.nii.gz", "se": "pain_04.nidm/ContrastStandardError.nii.gz", "t": "pain_04.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 20 ] } } } }, "pain_05.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 40.0, -34.0, 42.0, 38.0, -20.0, -32.0, 42.0, -32.0, -6.0, -8.0, 6.0, -4.0 ], "y": [ 10.0, 12.0, 6.0, 22.0, -58.0, -60.0, -64.0, -32.0, 20.0, -26.0, 18.0, 10.0 ], "z": [ -8.0, -10.0, -6.0, 4.0, -44.0, -34.0, -32.0, -44.0, 40.0, 28.0, 42.0, 46.0 ] }, "images": { "beta": "pain_05.nidm/Contrast.nii.gz", "se": "pain_05.nidm/ContrastStandardError.nii.gz", "t": "pain_05.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 9 ] } } } }, "pain_06.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -10.0, -2.0, -34.0, 26.0 ], "y": [ -28.0, 6.0, -4.0, 44.0 ], "z": [ 2.0, 56.0, -8.0, 36.0 ] }, "images": { "beta": "pain_06.nidm/Contrast.nii.gz", "se": "pain_06.nidm/ContrastStandardError.nii.gz", "t": "pain_06.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 9 ] } } } }, "pain_07.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -10.0, 22.0, -34.0, -40.0, 8.0, 2.0, -4.0, 0.0 ], "y": [ -92.0, -62.0, -74.0, -44.0, -30.0, -34.0, -44.0, -38.0 ], "z": [ 2.0, -4.0, -42.0, -12.0, 82.0, 78.0, 74.0, 84.0 ] }, "images": { "beta": "pain_07.nidm/Contrast.nii.gz", "se": "pain_07.nidm/ContrastStandardError.nii.gz", "t": "pain_07.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 9 ] } } } }, "pain_08.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 64.0, 54.0, 72.0, 60.0, 4.0, 0.0, -24.0, 4.0, 36.0, 38.0, 38.0, 20.0, -4.0, 12.0, 0.0, 2.0, -46.0, -36.0, -42.0 ], "y": [ -38.0, -30.0, -38.0, -54.0, -26.0, 14.0, -8.0, -36.0, 44.0, 56.0, 38.0, -44.0, -70.0, -68.0, -46.0, -86.0, -56.0, -60.0, -44.0 ], "z": [ 22.0, 20.0, 28.0, 2.0, 24.0, 30.0, 6.0, -16.0, 24.0, 20.0, 12.0, 62.0, 50.0, 46.0, 56.0, -40.0, -54.0, -40.0, -56.0 ] }, "images": { "beta": "pain_08.nidm/Contrast.nii.gz", "se": "pain_08.nidm/ContrastStandardError.nii.gz", "t": "pain_08.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_09.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 60.0, 68.0, 66.0, 54.0, 8.0, 2.0, 46.0, -8.0, 36.0, 30.0, 24.0, 52.0, 14.0, 38.0, 30.0, 36.0, -28.0, -20.0, -46.0, -50.0 ], "y": [ -60.0, -48.0, -44.0, -50.0, -26.0, -52.0, -50.0, -34.0, 44.0, 26.0, 36.0, 48.0, -76.0, -58.0, -62.0, -50.0, -56.0, -74.0, -58.0, -54.0 ], "z": [ -16.0, -14.0, -4.0, -14.0, 18.0, 50.0, 54.0, 20.0, 34.0, 12.0, 16.0, 24.0, -42.0, -44.0, -38.0, -40.0, -46.0, -40.0, -54.0, -44.0 ] }, "images": { "beta": "pain_09.nidm/Contrast.nii.gz", "se": "pain_09.nidm/ContrastStandardError.nii.gz", "t": "pain_09.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_10.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 68.0, 52.0, 60.0, 52.0, 46.0, 40.0, 44.0, 36.0, -38.0, -30.0, 40.0, 26.0, -4.0, 2.0, -12.0, -64.0, 22.0, -10.0, -2.0, -6.0 ], "y": [ -36.0, -30.0, -38.0, -40.0, -2.0, 8.0, 4.0, 16.0, -54.0, -60.0, -36.0, -32.0, -18.0, 18.0, -24.0, -24.0, -40.0, -66.0, -38.0, -68.0 ], "z": [ 36.0, 20.0, 32.0, 42.0, -10.0, 2.0, 12.0, 8.0, -40.0, -46.0, -44.0, -38.0, 0.0, 28.0, -14.0, 30.0, 38.0, 50.0, 84.0, 52.0 ] }, "images": { "beta": "pain_10.nidm/Contrast.nii.gz", "se": "pain_10.nidm/ContrastStandardError.nii.gz", "t": "pain_10.nidm/TStatistic.nii.gz", "z": null }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_11.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 8.0, -36.0, -6.0, 10.0 ], "y": [ -22.0, -20.0, -48.0, -12.0 ], "z": [ 8.0, 12.0, 54.0, 8.0 ] }, "images": { "beta": "pain_11.nidm/Contrast_T001.nii.gz", "se": "pain_11.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_11.nidm/TStatistic_T001.nii.gz", "z": "pain_11.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_12.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -36.0, 38.0, 38.0, 56.0, 4.0, 12.0, 2.0, 10.0, -34.0, -28.0, -30.0, -30.0 ], "y": [ 14.0, 2.0, 4.0, -24.0, -70.0, -68.0, -74.0, -72.0, 46.0, 38.0, 40.0, 42.0 ], "z": [ 2.0, 2.0, -16.0, 24.0, 34.0, 34.0, 48.0, 52.0, 30.0, 26.0, 16.0, 38.0 ] }, "images": { "beta": "pain_12.nidm/Contrast_T001.nii.gz", "se": "pain_12.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_12.nidm/TStatistic_T001.nii.gz", "z": "pain_12.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 13 ] } } } }, "pain_13.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 38.0, 36.0, 38.0, -38.0, -64.0, -66.0, -58.0, -64.0 ], "y": [ 16.0, 2.0, -10.0, 16.0, -20.0, -20.0, -30.0, -26.0 ], "z": [ -6.0, 4.0, -4.0, -2.0, 20.0, 28.0, 34.0, 40.0 ] }, "images": { "beta": "pain_13.nidm/Contrast_T001.nii.gz", "se": "pain_13.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_13.nidm/TStatistic_T001.nii.gz", "z": "pain_13.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 32 ] } } } }, "pain_14.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 32.0, 22.0, 38.0, -34.0, 28.0, 26.0, 16.0, 16.0 ], "y": [ 22.0, -102.0, 18.0, -58.0, -56.0, -46.0, -72.0, -62.0 ], "z": [ -2.0, -10.0, -8.0, -34.0, -66.0, -62.0, -62.0, -64.0 ] }, "images": { "beta": "pain_14.nidm/Contrast_T001.nii.gz", "se": "pain_14.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_14.nidm/TStatistic_T001.nii.gz", "z": "pain_14.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 24 ] } } } }, "pain_15.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -62.0, 0.0, 38.0, -46.0 ], "y": [ -22.0, 6.0, -8.0, 4.0 ], "z": [ 18.0, 44.0, -6.0, 28.0 ] }, "images": { "beta": "pain_15.nidm/Contrast_T001.nii.gz", "se": "pain_15.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_15.nidm/TStatistic_T001.nii.gz", "z": "pain_15.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 14 ] } } } }, "pain_16.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 34.0, 32.0, 58.0, 50.0, 30.0, 50.0, 28.0, 46.0, -32.0, -6.0, -54.0, -48.0, -2.0, -8.0, -20.0, 8.0, -60.0, -54.0, -46.0, -42.0 ], "y": [ 18.0, 22.0, -46.0, -24.0, -54.0, -50.0, -48.0, -54.0, 14.0, 10.0, -28.0, -34.0, -54.0, -46.0, -46.0, -68.0, -62.0, -48.0, -56.0, -48.0 ], "z": [ -12.0, -2.0, 14.0, 14.0, -42.0, -44.0, -58.0, -40.0, -2.0, 44.0, 14.0, 20.0, 56.0, 52.0, 66.0, 36.0, 4.0, 8.0, 4.0, -26.0 ] }, "images": { "beta": "pain_16.nidm/Contrast_T001.nii.gz", "se": "pain_16.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_16.nidm/TStatistic_T001.nii.gz", "z": "pain_16.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 14 ] } } } }, "pain_17.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ -60.0, -36.0, -52.0, -54.0, -2.0, 0.0, 0.0, 0.0, -42.0, -10.0, -50.0, -32.0, -48.0, -52.0, -44.0, -58.0 ], "y": [ -28.0, -18.0, -28.0, -10.0, -58.0, -54.0, -84.0, -64.0, -60.0, -66.0, -56.0, -60.0, -70.0, -64.0, -62.0, -56.0 ], "z": [ 20.0, 4.0, 22.0, 4.0, -18.0, -10.0, 6.0, -8.0, -36.0, -28.0, -20.0, -26.0, -4.0, 4.0, 4.0, 8.0 ] }, "images": { "beta": "pain_17.nidm/Contrast_T001.nii.gz", "se": "pain_17.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_17.nidm/TStatistic_T001.nii.gz", "z": "pain_17.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_18.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 58.0, 38.0, 36.0, 52.0, -56.0, -56.0, -36.0, -36.0 ], "y": [ -30.0, 2.0, 16.0, -44.0, -32.0, -22.0, -2.0, -24.0 ], "z": [ 18.0, 2.0, 0.0, 8.0, 20.0, 24.0, 6.0, 10.0 ] }, "images": { "beta": "pain_18.nidm/Contrast_T001.nii.gz", "se": "pain_18.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_18.nidm/TStatistic_T001.nii.gz", "z": "pain_18.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 12 ] } } } }, "pain_19.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 40.0, 42.0, -52.0, 34.0, 40.0, 30.0, 20.0, 38.0, -24.0, -28.0, -14.0, 20.0, -2.0, -6.0, 4.0, -8.0, -42.0, -38.0, -42.0, -50.0 ], "y": [ 12.0, 2.0, -8.0, 22.0, 68.0, 70.0, 72.0, 70.0, -84.0, -60.0, -90.0, -80.0, 0.0, 10.0, 2.0, 14.0, 58.0, 64.0, 54.0, 54.0 ], "z": [ -6.0, -4.0, 6.0, 2.0, -6.0, -10.0, 18.0, 6.0, -26.0, -34.0, -28.0, -28.0, 48.0, 38.0, 50.0, 34.0, 0.0, -6.0, 12.0, -10.0 ] }, "images": { "beta": "pain_19.nidm/Contrast_T001.nii.gz", "se": "pain_19.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_19.nidm/TStatistic_T001.nii.gz", "z": "pain_19.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 16 ] } } } }, "pain_20.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 40.0, -54.0, 36.0, -36.0, 2.0, 4.0, 6.0, 10.0 ], "y": [ 6.0, -68.0, 8.0, -78.0, -4.0, 8.0, 8.0, -24.0 ], "z": [ -8.0, 0.0, 2.0, -20.0, 64.0, 52.0, 34.0, 40.0 ] }, "images": { "beta": "pain_20.nidm/Contrast_T001.nii.gz", "se": "pain_20.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_20.nidm/TStatistic_T001.nii.gz", "z": "pain_20.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 16 ] } } } }, "pain_21.nidm": { "contrasts": { "1": { "coords": { "space": "MNI", "x": [ 40.0, 34.0, 30.0, -26.0, 4.0, -8.0, 0.0, -8.0, -34.0, -56.0, -34.0, -58.0 ], "y": [ -72.0, 10.0, -78.0, -86.0, 12.0, 14.0, 2.0, 6.0, 14.0, -34.0, 8.0, -44.0 ], "z": [ -20.0, 0.0, -22.0, -16.0, 36.0, 34.0, 54.0, 40.0, 2.0, 24.0, -16.0, 20.0 ] }, "images": { "beta": "pain_21.nidm/Contrast_T001.nii.gz", "se": "pain_21.nidm/ContrastStandardError_T001.nii.gz", "t": "pain_21.nidm/TStatistic_T001.nii.gz", "z": "pain_21.nidm/ZStatistic_T001.nii.gz" }, "metadata": { "sample_sizes": [ 16 ] } } } } } .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.018 seconds) .. _sphx_glr_download_auto_examples_01_datasets_06_plot_dataset_json.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: 06_plot_dataset_json.ipynb <06_plot_dataset_json.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 06_plot_dataset_json.py <06_plot_dataset_json.py>` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: 06_plot_dataset_json.zip <06_plot_dataset_json.zip>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_