id |
decimal.Decimal, int, |
decimal.Decimal, |
|
[optional] |
url |
str, |
str, |
|
[optional] |
download_url |
str, |
str, |
|
[optional] |
owner |
decimal.Decimal, int, |
decimal.Decimal, |
|
[optional] |
contributors |
str, |
str, |
|
[optional] |
owner_name |
str, |
str, |
|
[optional] |
number_of_images |
decimal.Decimal, int, |
decimal.Decimal, |
|
[optional] |
name |
str, |
str, |
|
[optional] |
DOI |
None, str, |
NoneClass, str, |
Required if you want your maps to be archived in Stanford Digital Repository |
[optional] |
authors |
None, str, |
NoneClass, str, |
|
[optional] |
paper_url |
None, str, |
NoneClass, str, |
|
[optional] |
journal_name |
None, str, |
NoneClass, str, |
|
[optional] |
description |
None, str, |
NoneClass, str, |
|
[optional] |
full_dataset_url |
None, str, |
NoneClass, str, |
Link to an external dataset the maps in this collection have been generated from (for example: "https://openfmri.org/dataset/ds000001\" or "http://dx.doi.org/10.15387/fcp_indi.corr.mpg1\") |
[optional] |
private |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
|
[optional] |
add_date |
str, datetime, |
str, |
|
[optional] value must conform to RFC-3339 date-time |
modify_date |
str, datetime, |
str, |
|
[optional] value must conform to RFC-3339 date-time |
doi_add_date |
None, str, datetime, |
NoneClass, str, |
|
[optional] value must conform to RFC-3339 date-time |
type_of_design |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Blocked, event-related, hybrid, or other |
[optional] |
number_of_imaging_runs |
None, decimal.Decimal, int, |
NoneClass, decimal.Decimal, |
Number of imaging runs acquired |
[optional] |
number_of_experimental_units |
None, decimal.Decimal, int, |
NoneClass, decimal.Decimal, |
Number of blocks, trials or experimental units per imaging run |
[optional] |
length_of_runs |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Length of each imaging run in seconds |
[optional] value must be a 64 bit float |
length_of_blocks |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
For blocked designs, length of blocks in seconds |
[optional] value must be a 64 bit float |
length_of_trials |
None, str, |
NoneClass, str, |
Length of individual trials in seconds. If length varies across trials, enter 'variable'. |
[optional] |
optimization |
None, bool, |
NoneClass, BoolClass, |
Was the design optimized for efficiency |
[optional] |
optimization_method |
None, str, |
NoneClass, str, |
What method was used for optimization? |
[optional] |
subject_age_mean |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Mean age of subjects |
[optional] value must be a 64 bit float |
subject_age_min |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Minimum age of subjects |
[optional] value must be a 64 bit float |
subject_age_max |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Maximum age of subjects |
[optional] value must be a 64 bit float |
handedness |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Handedness of subjects |
[optional] |
proportion_male_subjects |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
The proportion (not percentage) of subjects who were male |
[optional] value must be a 64 bit float |
inclusion_exclusion_criteria |
None, str, |
NoneClass, str, |
Additional inclusion/exclusion criteria, if any (including specific sampling strategies that limit inclusion to a specific group, such as laboratory members) |
[optional] |
number_of_rejected_subjects |
None, decimal.Decimal, int, |
NoneClass, decimal.Decimal, |
Number of subjects scanned but rejected from analysis |
[optional] |
group_comparison |
None, bool, |
NoneClass, BoolClass, |
Was this study a comparison between subject groups? |
[optional] |
group_description |
None, str, |
NoneClass, str, |
A description of the groups being compared |
[optional] |
scanner_make |
None, str, |
NoneClass, str, |
Manufacturer of MRI scanner |
[optional] |
scanner_model |
None, str, |
NoneClass, str, |
Model of MRI scanner |
[optional] |
field_strength |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Field strength of MRI scanner (in Tesla) |
[optional] value must be a 64 bit float |
pulse_sequence |
None, str, |
NoneClass, str, |
Description of pulse sequence used for fMRI |
[optional] |
parallel_imaging |
None, str, |
NoneClass, str, |
Description of parallel imaging method and parameters |
[optional] |
field_of_view |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Imaging field of view in millimeters |
[optional] value must be a 64 bit float |
matrix_size |
None, decimal.Decimal, int, |
NoneClass, decimal.Decimal, |
Matrix size for MRI acquisition |
[optional] |
slice_thickness |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Distance between slices (includes skip or distance factor) in millimeters |
[optional] value must be a 64 bit float |
skip_distance |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
The size of the skipped area between slices in millimeters |
[optional] value must be a 64 bit float |
acquisition_orientation |
None, str, |
NoneClass, str, |
The orientation of slices |
[optional] |
order_of_acquisition |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Order of acquisition of slices (ascending, descending, or interleaved) |
[optional] |
repetition_time |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Repetition time (TR) in milliseconds |
[optional] value must be a 64 bit float |
echo_time |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Echo time (TE) in milliseconds |
[optional] value must be a 64 bit float |
flip_angle |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Flip angle in degrees |
[optional] value must be a 64 bit float |
software_package |
None, str, |
NoneClass, str, |
If a single software package was used for all analyses, specify that here |
[optional] |
software_version |
None, str, |
NoneClass, str, |
Version of software package used |
[optional] |
order_of_preprocessing_operations |
None, str, |
NoneClass, str, |
Specify order of preprocessing operations |
[optional] |
quality_control |
None, str, |
NoneClass, str, |
Describe quality control measures |
[optional] |
used_b0_unwarping |
None, bool, |
NoneClass, BoolClass, |
Was B0 distortion correction used? |
[optional] |
b0_unwarping_software |
None, str, |
NoneClass, str, |
Specify software used for distortion correction if different from the main package |
[optional] |
used_slice_timing_correction |
None, bool, |
NoneClass, BoolClass, |
Was slice timing correction used? |
[optional] |
slice_timing_correction_software |
None, str, |
NoneClass, str, |
Specify software used for slice timing correction if different from the main package |
[optional] |
used_motion_correction |
None, bool, |
NoneClass, BoolClass, |
Was motion correction used? |
[optional] |
motion_correction_software |
None, str, |
NoneClass, str, |
Specify software used for motion correction if different from the main package |
[optional] |
motion_correction_reference |
None, str, |
NoneClass, str, |
Reference scan used for motion correction |
[optional] |
motion_correction_metric |
None, str, |
NoneClass, str, |
Similarity metric used for motion correction |
[optional] |
motion_correction_interpolation |
None, str, |
NoneClass, str, |
Interpolation method used for motion correction |
[optional] |
used_motion_susceptibiity_correction |
None, bool, |
NoneClass, BoolClass, |
Was motion-susceptibility correction used? |
[optional] |
used_intersubject_registration |
None, bool, |
NoneClass, BoolClass, |
Were subjects registered to a common stereotactic space? |
[optional] |
intersubject_registration_software |
None, str, |
NoneClass, str, |
Specify software used for intersubject registration if different from main package |
[optional] |
intersubject_transformation_type |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Was linear or nonlinear registration used? |
[optional] |
nonlinear_transform_type |
None, str, |
NoneClass, str, |
If nonlinear registration was used, describe transform method |
[optional] |
transform_similarity_metric |
None, str, |
NoneClass, str, |
Similarity metric used for intersubject registration |
[optional] |
interpolation_method |
None, str, |
NoneClass, str, |
Interpolation method used for intersubject registration |
[optional] |
object_image_type |
None, str, |
NoneClass, str, |
What type of image was used to determine the transformation to the atlas? (e.g. T1, T2, EPI) |
[optional] |
functional_coregistered_to_structural |
None, bool, |
NoneClass, BoolClass, |
Were the functional images coregistered to the subject's structural image? |
[optional] |
functional_coregistration_method |
None, str, |
NoneClass, str, |
Method used to coregister functional to structural images |
[optional] |
coordinate_space |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Name of coordinate space for registration target |
[optional] |
target_template_image |
None, str, |
NoneClass, str, |
Name of target template image |
[optional] |
target_resolution |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Voxel size of target template in millimeters |
[optional] value must be a 64 bit float |
used_smoothing |
None, bool, |
NoneClass, BoolClass, |
Was spatial smoothing applied? |
[optional] |
smoothing_type |
None, str, |
NoneClass, str, |
Describe the type of smoothing applied |
[optional] |
smoothing_fwhm |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
The full-width at half-maximum of the smoothing kernel in millimeters |
[optional] value must be a 64 bit float |
resampled_voxel_size |
None, decimal.Decimal, int, float, |
NoneClass, decimal.Decimal, |
Voxel size in mm of the resampled, atlas-space images |
[optional] value must be a 64 bit float |
intrasubject_model_type |
None, str, |
NoneClass, str, |
Type of model used (e.g., regression) |
[optional] |
intrasubject_estimation_type |
None, str, |
NoneClass, str, |
Estimation method used for model (e.g., OLS, generalized least squares) |
[optional] |
intrasubject_modeling_software |
None, str, |
NoneClass, str, |
Software used for intrasubject modeling if different from overall package |
[optional] |
hemodynamic_response_function |
None, str, |
NoneClass, str, |
Nature of HRF model |
[optional] |
used_temporal_derivatives |
None, bool, |
NoneClass, BoolClass, |
Were temporal derivatives included? |
[optional] |
used_dispersion_derivatives |
None, bool, |
NoneClass, BoolClass, |
Were dispersion derivatives included? |
[optional] |
used_motion_regressors |
None, bool, |
NoneClass, BoolClass, |
Were motion regressors included? |
[optional] |
used_reaction_time_regressor |
None, bool, |
NoneClass, BoolClass, |
Was a reaction time regressor included? |
[optional] |
used_orthogonalization |
None, bool, |
NoneClass, BoolClass, |
Were any regressors specifically orthogonalized with respect to others? |
[optional] |
orthogonalization_description |
None, str, |
NoneClass, str, |
If orthogonalization was used, describe here |
[optional] |
used_high_pass_filter |
None, bool, |
NoneClass, BoolClass, |
Was high pass filtering applied? |
[optional] |
high_pass_filter_method |
None, str, |
NoneClass, str, |
Describe method used for high pass filtering |
[optional] |
autocorrelation_model |
None, str, |
NoneClass, str, |
What autocorrelation model was used (or 'none' of none was used) |
[optional] |
group_model_type |
None, str, |
NoneClass, str, |
Type of group model used (e.g., regression) |
[optional] |
group_estimation_type |
None, str, |
NoneClass, str, |
Estimation method used for group model (e.g., OLS, generalized least squares) |
[optional] |
group_modeling_software |
None, str, |
NoneClass, str, |
Software used for group modeling if different from overall package |
[optional] |
group_inference_type |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
Type of inference for group model |
[optional] |
group_model_multilevel |
None, str, |
NoneClass, str, |
If more than 2-levels, describe the levels and assumptions of the model (e.g. are variances assumed equal between groups) |
[optional] |
group_repeated_measures |
None, bool, |
NoneClass, BoolClass, |
Was this a repeated measures design at the group level? |
[optional] |
group_repeated_measures_method |
None, str, |
NoneClass, str, |
If multiple measurements per subject, list method to account for within subject correlation, exact assumptions made about correlation/variance |
[optional] |
nutbrain_hunger_state |
dict, frozendict.frozendict, str, date, datetime, uuid.UUID, int, float, decimal.Decimal, bool, None, list, tuple, bytes, io.FileIO, io.BufferedReader, |
frozendict.frozendict, str, decimal.Decimal, BoolClass, NoneClass, tuple, bytes, FileIO |
|
[optional] |
nutbrain_food_viewing_conditions |
None, str, |
NoneClass, str, |
Image categories |
[optional] |
nutbrain_food_choice_type |
None, str, |
NoneClass, str, |
Choice conditions/image types |
[optional] |
nutbrain_taste_conditions |
None, str, |
NoneClass, str, |
|
[optional] |
nutbrain_odor_conditions |
None, str, |
NoneClass, str, |
|
[optional] |
communities |
list, tuple, |
tuple, |
Is this collection part of any special Community? |
[optional] |
any_string_name |
dict, frozendict.frozendict, str, date, datetime, int, float, bool, decimal.Decimal, None, list, tuple, bytes, io.FileIO, io.BufferedReader |
frozendict.frozendict, str, BoolClass, decimal.Decimal, NoneClass, tuple, bytes, FileIO |
any string name can be used but the value must be the correct type |
[optional] |