Name |
Type |
Description |
Notes |
metadata |
object |
Metadata about image such as software and version used and other relevant data about how the image was produced. |
[optional] |
url |
str |
URL to image file. |
[optional] |
filename |
str |
Name of the image file. |
[optional] |
space |
str |
The template space the image is in (e.g., MNI |
[optional] |
value_type |
str |
The values the image represents. For example, T-statistic or Z-statistic, or Betas. |
[optional] |
add_date |
datetime |
Date the image was added. |
[optional] [readonly] |
analysis |
str |
|
[optional] |
entities |
List[Entity] |
|
[optional] |
analysis_name |
str |
|
[optional] |
created_at |
datetime |
time the resource was created on the database |
[optional] [readonly] |
updated_at |
str |
when the resource was last modified/updated. |
[optional] [readonly] |
id |
str |
short UUID specifying the location of this resource |
[optional] |
public |
bool |
whether the resource is listed in public searches or not |
[optional] [default to True] |
user |
str |
who owns the resource |
[optional] [readonly] |
username |
str |
human readable username |
[optional] |
from neurostore_sdk.models.image_return import ImageReturn
# TODO update the JSON string below
json = "{}"
# create an instance of ImageReturn from a JSON string
image_return_instance = ImageReturn.from_json(json)
# print the JSON string representation of the object
print ImageReturn.to_json()
# convert the object into a dict
image_return_dict = image_return_instance.to_dict()
# create an instance of ImageReturn from a dict
image_return_form_dict = image_return.from_dict(image_return_dict)
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