The following is a text template that may be useful for briefly describing the NSD dataset in a paper that uses the NSD data. Of course, you may need to modify or expand as necessary.
Natural Scenes Dataset
A detailed description of the Natural Scenes Dataset (NSD; http://naturalscenesdataset.org ) is provided elsewhere {cite Allen et al., Nature Neuroscience, 2021}. The NSD dataset contains measurements of fMRI responses from 8 participants who each viewed 9,000–10,000 distinct color natural scenes (22,000–30,000 trials) over the course of 30–40 scan sessions. Scanning was conducted at 7T using whole-brain gradient-echo EPI at 1.8-mm resolution and 1.6-s repetition time. Images were taken from the Microsoft Common Objects in Context (COCO) database {cite Lin 2014}, square cropped, and presented at a size of 8.4° x 8.4°. A special set of 1,000 images were shared across subjects; the remaining images were mutually exclusive across subjects. Images were presented for 3 s with 1-s gaps in between images. Subjects fixated centrally and performed a long-term continuous recognition task on the images. The fMRI data were pre-processed by performing one temporal interpolation (to correct for slice time differences) and one spatial interpolation (to correct for head motion). A general linear model was then used to estimate single-trial beta weights. Cortical surface reconstructions were generated using FreeSurfer, and both volume- and surface-based versions of the beta weights were created.
Natural Scenes Dataset (extremely abbreviated)
The NSD dataset contains measurements of 7T fMRI responses (1.8 mm, 1.6 s) from 8 participants who each viewed 9,000–10,000 distinct color natural scenes (22,000–30,000 trials). Subjects fixated centrally and performed a long-term continuous recognition task on the images.
Other snippets of text that might be useful as a template:
The dataset includes additional measures including structural (T1, T2), diffusion, and resting-state data.
In this paper, we used the 1.8-mm volume preparation of the NSD data and version 3 of the NSD single-trial betas (betas_fithrf_GLMdenoise_RR).
We used the ‘nativesurface’ preparation of the NSD betas.
We used the nsd01–nsd10 scan sessions from all 8 NSD subjects.
If you make use of the NSD dataset, please cite the NSD data paper:
Allen, St-Yves, Wu, Breedlove, Prince, Dowdle, Nau, Caron, Pestilli, Charest, Hutchinson, Naselaris*, & Kay*. A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience (2021).
In addition, please acknowledge the NSD funding sources using wording similar to:
Collection of the NSD dataset was supported by NSF IIS-1822683 and NSF IIS-1822929.