SC‑WBD

Compliance

Attribution and licensing

This page is generated from the repository's own source registries, not written by hand. Every citation below is a licence condition, not a courtesy.

SC-WBD is built on publicly released atlases, receptor maps and neuroimaging datasets. Several of them attach conditions — attribution, non-commercial use, share-alike — and those conditions propagate into anything derived from them.1Generated by site/gen_attribution.py, which enumerates every card in scwbd/sources/cards/ and every entry in scwbd/anatomy/sources.py and renders them through the same scwbd.sources.attribution module the release path uses. Regenerate with make site-attribution.

Computed, not declared

Licence is computed from the source registries and split into inheritance (what the sources impose) and policy (what the owner chose). The two are never summed into a single boolean, because only the second is the owner's to revoke.scwbd/release/licence.py

Effective licence union

The union below is the worst case over every source the repository holds, including sources no default code path currently loads. It is not a statement about any particular artifact.

non-commercial: yes; share-alike: yes; attribution: required; redistribution: none; SHARE-ALIKE IN FORCE: derivative works must be released under the same licence; 27 source(s) with UNKNOWN licence (adni, ds000113, hcp-young-adult, mne-sample, mne-spm-face, ram-intracranial, things-eeg2, tuh-eeg, ukbiobank-brain-imaging, buckner2011, conte69, desikan2006, destrieux2010, enigma_hcp_sc, fsaverage, glasser2016, goulas_autoradiography, hcps1200_maps, hill2010, julich_brain, margulies2016, markov2014, netneuro_lausanne_sc, neuromaps, raichle_metabolism, schaefer2018, sydnor2021) — unknown is not permissive

Read the trailing clause literally: unknown is not permissive. A source whose licence text names no terms is carried as unresolved, never rounded down to “fine”.2is_vacuous_licence_text exists because a registry entry once read “See repository LICENSE (open, academic use)” for an atlas whose actual licence imposes no academic-use limit at all — an invented restriction, since corrected. The classifier now refuses to resolve text that names no terms.

The three conditions that bind

Hansen receptor maps — CC-BY-NC-SA-4.0

Non-commercial and share-alike. Two questions have to be kept apart, and a page that merges them will misreport: does the object contain Hansen data, and does the default prior read it? These have different answers today.reports/licence_audit.md Where the terms attach, derivative works must be released under CC-BY-NC-SA-4.0.

Tian subcortical atlas — citation is the condition

The Melbourne Subcortex Atlas grants use without restriction subject to the single condition that any publication using it cites Tian et al. (2020). It is not a non-commercial licence. The citation below is how that condition is met.3Verified against the vendored licence text at assets/src/tian_subcortex/license.txt, not against the registry's summary of it.

Schaefer 2018 — MIT, over GSP terms that name nothing

The parcellation labels are MIT (CBIG). Underneath sits Genomics Superstruct Project data “under its own terms”, and those terms are not named. The classifier resolves this to unknown rather than to MIT, and it is shown here as unresolved.

Unsettled, and deliberately not answered

Whether a model trained on CC-BY-NC-SA data is a derivative work of that data is recorded in the release manifest as unsettled -- no answer asserted. This site does not assert an answer. The conservative reading — assume it does — is the one that fails safe.scwbd/release/manifest.py

Jacob — decision required

The repository has no LICENSE file, and pyproject.toml declares license = { text = "Proprietary" }. If any released artifact inherits CC-BY-NC-SA-4.0, ShareAlike requires derivatives be released under that same licence, and “Proprietary” is not compatible with it. This needs a human decision before anything is published, and it is a legal question rather than an engineering one.

Also needed here: whether SC-WBD is being offered commercially, since that determines whether the NonCommercial term is a live constraint or a moot one.

Owner licence decision, on the record

The manifest carries the owner's decision and its history, because a superseded decision is evidence about how the current one was reached.scwbd/release/manifest.py The current decision accepts attribution; it records that the strongest supportable claim is “no established restriction remains” and explicitly not “commercially clear”.

Dataset sources

15 cards in scwbd/sources/cards/. Citations are reproduced verbatim; for the ODC-By datasets, attribution is the whole of the obligation.

KeyCitationLicence
adniJack CR Jr et al. (2008). The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging 27:685-691.ADNI Data Use Agreement (application + signature required)
doi:10.1212/01.wnl.0000271090.28148.24 · source
ds000113Hanke M, Baumgartner FJ, Ibe P, Kaule FR, Pollmann S, Speck O, Zinke W, Stadler J (2014). A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie. Scientific Data 1:140003, doi:10.1038/sdata.2014.3. Extension studies: Sengupta A et al. (2016), Sci Data 3:160092 (retinotopy); Hanke M et al. (2016), Sci Data 3:160092 (movie/eyegaze). OpenNeuro dataset ds000113 v1.3.0, doi:10.18112/openneuro.ds000113.v1.3.0.unknown - verified absent from the distributed artifact. snapshot 1.3.0 ships no LICENSE file, dataset_description.json has NO "License" key (checked: the object has exactly BIDSVersion, Name, Authors and ReferencesAndLinks), and the 23,818-byte README contains no occurrence of "licen", "PDDL", "CC0", "public domain" or "Creative Commons". The studyforrest project's own website is documented elsew
doi:10.18112/openneuro.ds000113.v1.3.0 · source
ds000117Wakeman DG, Henson RN (2015). A multi-subject, multi-modal human neuroimaging dataset. Scientific Data 2:150001, doi:10.1038/sdata.2015.1. OpenNeuro dataset ds000117 v1.1.0, doi:10.18112/openneuro.ds000117.v1.1.0.CC0 1.0 Universal (public domain dedication)
doi:10.18112/openneuro.ds000117.v1.1.0 · source
ds002336Lioi G, Cury C, Perronnet L, Mano M, Bannier E, Lecuyer A, Barillot C (2020). Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration. Scientific Data 7:173, doi:10.1038/s41597-020-0498-3. OpenNeuro dataset ds002336 v2.0.2, doi:10.18112/openneuro.ds002336.v2.0.2. Paradigm: Perronnet L et al. (2017), Front Hum Neurosci 11:193.CC0 1.0 Universal (public domain dedication)
doi:10.18112/openneuro.ds002336.v2.0.2 · source
ds004024Hernandez Pavon JC, Schneider Garces N, Begnoche JP, Miller LE, Raij T (2022). OpenNeuro dataset ds004024, doi:10.18112/openneuro.ds004024.v1.0.0. Cortico-cortical paired associative stimulation (ccPAS) with bi-focal MRI-navigated TMS-EEG of left and right M1.CC0 1.0 Universal (public domain dedication)
doi:10.18112/openneuro.ds004024.v1.0.0 · source
eegmmidbSchalk G, McFarland DJ, Hinterberger T, Birbaumer N, Wolpaw JR (2004). BCI2000: A General-Purpose Brain-Computer Interface (BCI) System. IEEE Trans Biomed Eng 51(6):1034-1043. Dataset: Schalk G (2009), EEG Motor Movement/Imagery Dataset (version 1.0.0), PhysioNet, RRID:SCR_007345, https://doi.org/10.13026/C28G6POpen Data Commons Attribution License v1.0 (ODC-By 1.0)
doi:10.13026/C28G6P · source
hcp-young-adultVan Essen DC et al. (2013). The WU-Minn Human Connectome Project: an overview. NeuroImage 80:62-79.WU-Minn HCP Open Access Data Use Terms (click-through agreement)
doi:10.1016/j.neuroimage.2013.05.041 · source
mne-sampleGramfort A et al. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience 7:267. The sample dataset is distributed with MNE-Python as MNE-sample-data-processed.tar.gz.unknown - the archive ships no LICENSE file and the MNE-Python documentation page for the sample dataset states no licence. It is distributed publicly as example data by the MNE-Python project. Because the licence is unresolved, this card sets may_release_examples false and redistribution 'unknown'; the data are used locally for calibration only.
doi:unknown · source
mne-somatoParkkonen L (data author); BIDS conversion by Appelhoff S, Gramfort A and Jas M. Distributed with MNE-Python as MNE-somato-data.tar.gz. See https://mne.tools/stable/documentation/datasets.html#somatosensoryOpen Data Commons Public Domain Dedication and License (PDDL)
doi:unknown · source
mne-spm-faceHenson RN, Goshen-Gottstein Y, Ganel T, Otten LJ, Quayle A, Rugg MD (2003) and the SPM multimodal face-processing example dataset; redistributed by the MNE-Python project as MNE-spm-face.tar.gz. See https://mne.tools/stable/documentation/datasets.html#spm-facesunknown - the archive ships no LICENSE file and the MNE-Python documentation page states no licence for this dataset. The upstream SPM example data is distributed publicly by the Wellcome Centre for Human Neuroimaging. Because the licence is unresolved, redistribution is treated as not permitted and may_release_examples is false.
doi:unknown · source
ram-intracranialEzzyat Y et al. (2018). Closed-loop stimulation of temporal cortex rescues functional networks and improves memory. Nature Communications 9:365.RAM public data use agreement (registration required)
doi:10.1038/s41467-018-02753-0 · source
sleep-edfxKemp B, Zwinderman AH, Tuk B, Kamphuisen HAC, Oberye JJL (2000). Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE Trans Biomed Eng 47(9):1185-1194. Dataset: Kemp B, Zwinderman AH, Tuk B, Kamphuisen HAC, Oberye JJL. Sleep-EDF Database Expanded (version 1.0.0), PhysioNet, https://doi.org/10.13026/C2X676Open Data Commons Attribution License v1.0 (ODC-By 1.0)
doi:10.13026/C2X676 · source
things-eeg2Gifford AT, Dwivedi K, Roig G, Cichy RM (2022). A large and rich EEG dataset for modeling human visual object recognition. NeuroImage 264:119754. Data: OSF project 3jk45.unknown - the OSF project 3jk45 declares no licence through the OSF API (the /license endpoint returns 404 and node_license carries an empty copyright holder). The associated paper is open access, but the data licence itself is not machine-readable, so the licence field cannot be populated and the source may not enter the mixture on an assumption.
doi:10.1016/j.neuroimage.2022.119754 · source
tuh-eegObeid I, Picone J (2016). The Temple University Hospital EEG Data Corpus. Frontiers in Neuroscience 10:196.TUH EEG Corpus Data Use Agreement (registration + signed DUA)
doi:10.3389/fnins.2016.00196 · source
ukbiobank-brain-imagingMiller KL et al. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience 19:1523-1536.UK Biobank Material Transfer Agreement (not an open licence)
doi:10.1038/s41593-016-0073-1 · source

Anatomy and atlas sources

27 entries in scwbd/anatomy/sources.py.

KeyCitationLicence
bigbrain_layersAmunts K. et al. (2013) Science 340:1472-1475; Wagstyl K. et al. (2020) PLoS Biol 18:e3000678.CC-BY-4.0 (BigBrain derived data)
source
buckner2011Buckner R.L. et al. (2011) J Neurophysiol 106:2322-2345.See repository (open, academic use, citation required)
source
conte69Van Essen D.C. et al. (2012) Cereb Cortex 22:2241-2262.HCP open-access terms
source
desikan2006Desikan R.S. et al. (2006) NeuroImage 31:968-980.FreeSurfer license (free for research use)
source
destrieux2010Destrieux C. et al. (2010) NeuroImage 53:1-15.FreeSurfer license (free for research use)
source
diedrichsen2009Diedrichsen J. et al. (2009) NeuroImage 46:39-46.Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0). NON-COMMERCIAL. Verbatim: 'The SUIT template, associated files and atlases are distributed under a Creative Commons Attribution-NonCommercial 3.0 Unported License, meaning that it can be freely used for non-commercial purposes, as long as proper attribution ... is given.'
source
enigma_hcp_scLariviere S. et al. (2021) Nat Methods 18:698-700; Van Essen D.C. et al. (2013) NeuroImage 80:62-79 (HCP).BSD-3-Clause code; HCP open-access data-use terms for the underlying scans
source
enigmatoolboxLariviere S. et al. (2021) Nat Methods 18:698-700.BSD-3-Clause
source
fsaverageFischl B. et al. (1999) Hum Brain Mapp 8:272-284.FreeSurfer license
source
glasser2016Glasser M.F. et al. (2016) Nature 536:171-178.HCP open-access data-use terms; redistribution of derived labels permitted with citation
source
goulas_autoradiographyZilles K., Palomero-Gallagher N. (2017) Front Neuroanat 11:78; Goulas A. et al. (2021) PNAS 118:e2020574118.As released with the cited papers
source
hansen_lausanne_scHansen J.Y. et al. (2022) Nat Neurosci 25:1569-1581.CC-BY-NC-SA-4.0
source
hansen_receptorsHansen J.Y. et al. (2022) Nat Neurosci 25:1569-1581, plus the primary PET study for each tracer (see Table S3 of that paper).CC-BY-NC-SA-4.0
source
hansen_schaefer_scHansen J.Y. et al. (2022) Nat Neurosci 25:1569-1581.CC-BY-NC-SA-4.0
source
harvardoxfordMakris N. et al. (2006) Schizophr Res 83:155-171; FSL/FMRIB.FSL license (free for non-commercial research)
source
hcps1200_mapsGlasser M.F., Van Essen D.C. (2011) J Neurosci 31:11597-11616; Shafiei G. et al. (2022) PLoS Biol 20:e3001735 (MEG).HCP open-access data-use terms
source
hill2010Hill J. et al. (2010) PNAS 107:13135-13140.As distributed via neuromaps
source
julich_brainAmunts K. et al. (2020) Science 369:988-992.EBRAINS terms; account required for programmatic access
source
margulies2016Margulies D.S. et al. (2016) PNAS 113:12574-12579.As distributed via neuromaps
source
markov2014Markov N.T. et al. (2014) Cereb Cortex 24:17-36; Ercsey-Ravasz M. et al. (2013) Neuron 80:184-197.As released with the cited papers; redistributed by netneurolab
source
netneuro_lausanne_scGriffa A. et al. (2019) Zenodo; Betzel R.F., Bassett D.S. (2018) PNAS 115:E4880.BSD-3-Clause (code); data as released with the cited papers
source
neuromapsMarkello R.D. et al. (2022) Nat Methods 19:1472-1479.BSD-3-Clause (toolbox); per-annotation source terms
source
raichle_metabolismVaishnavi S.N. et al. (2010) PNAS 107:17757-17762.As distributed via neuromaps
source
schaefer2018Schaefer A. et al. (2018) Cereb Cortex 28:3095-3114.MIT (CBIG); underlying GSP data under its own terms
source
sydnor2021Sydnor V.J. et al. (2021) Neuron 109:2820-2846.As distributed via neuromaps
source
tian2020Tian Y. et al. (2020) Nat Neurosci 23:1421-1432.Melbourne Subcortex Atlas License: permission to use the atlas without restriction, including the rights to use, copy, modify, merge, publish and distribute, subject to the single condition that any publication using the atlas cites Tian Y. et al. (2020) Nat Neurosci 23:1421-1432. Attribution required.
source
voneconomovon Economo C., Koskinas G.N. (1925); digitised by Scholtens L.H. et al. (2018) NeuroImage 170:412-423.Digitisation released with netneurotools (BSD-3)
source

Redistribution

Several datasets carry redistribution_class: none — among them HCP Young Adult, ADNI, UK Biobank and TUH-EEG. This site hosts no copy of any of them and links to no derived data. Access goes through each provider's own agreement.