Subject	Medical Imaging
Specific subject area	Magnetic Resonance Imaging (MRI) pulse sequence design and documentation using open-source, multi-vendor programming platforms.
Type of data	Code (.m, .ipynb) Sequence file (.seq) Raw data (.mat) Image (.mat) Figure (.png) Table (.xlsx) Form (.pdf)
How the data were acquired	Raw MRI data were acquired on a Siemens 3T Prisma Fit system (“main site” or “developer”) and a Siemens 1.5T Aera system (“second site” or “user”). The Pulseq 1.2.1 (second site: 1.3.1) interpreter was used [3]. All sequences (.seq) data were generated from Google Colab notebooks (.ipynb) in Python using PyPulseq (version 1.2.0) [4]. For all qualitative scans, the American College of Radiology (ACR) large MRI phantom [5] was acquired. Quantitative scans used the T1 and T2 planes of the International Society for Magnetic Resonance Medicine / National Institute of Standards and Technology (ISMRM/NIST) phantom [6] for T1 and T2 mapping, respectively. Reconstruction scripts were provided in MATLAB (.m). The PDF forms were created using a combination of Adobe Indesign and Adobe Acrobat DC and filled by the two scanning sites. Experimental parameters are shown in Table 1.
Data format	Simulated Raw Filtered Analyzed
Description of data collection	Images from the same tested sequence were acquired in the same session at each site. Multi-slice or multi-contrast images were normalized across all slices or contrasts to the range [0,1] after channel combination.
Data source location	The developer side data: •Institution: Columbia University in the City of New York •City: New York, NY 10,027 •Country: United States •Latitude and longitude for collected samples/data: 40°49′01.0″N 73°57′28.3″W (GPS: 40.816952534117384, −73.9578507140652) The user side data: •Institution: Universidade de Lisboa •City: Lisbon •Country: Portugal •Latitude and longitude for collected samples/data: 38°45′22.1″N 9°11′33.2″W (GPS: 38.756134666694756, −9.19254883734996)
Data accessibility	Repository name: Mendeley Data Data identification number: (DOI: 10.17632/8458pz722c.5) Direct URL to data: https://data.mendeley.com/datasets/8458pz722c/5
Related research article	G. Tong, A.S. Gaspar, E. Qian, K.S. Ravi, J.T. Vaughan, R.G. Nunes, S. Geethanath, A framework for validating open-source pulse sequences, Magn. Reson. Imaging. 87 (2022) 7–18. https://doi.org/10.1016/j.mri.2021.11.014.