List of neuroscience databases

! Description

! Organism

! Level (gene, neuron, macroscopic)

! Data (MRI, fMRI, images, descriptive, numerical)

! Disorder

! Register to view data?

! Ref.

|Research using an animal model of obsessive-compulsive disorder employed a standardized paradigm where the behavior of rats in a large open field was video recorded for 55 min on each test.

|Rat

|Macroscopic

|Video

|Obsessive-compulsive disorder

|No

|{{Cite website |last=Szechtman H, Dvorkin-Gheva A, Gomez-Marin A |date=September 21, 2022 |title=Supporting data for "A Virtual Library for Behavioral Performance in Standard Conditions – Rodent Spontaneous Activity in an Open Field during Repeated Testing and after Treatment with Drugs or Brain Lesions" |publisher=GigaScience Database |url=http://dx.doi.org/10.5524/102261 |doi= 10.5524/102261}}

| Atlas, stained sections from brains showing development and gene expression

| Mouse, Human

| Macroscopic, Gene

| Images

| Healthy

| No

| {{cite journal | vauthors = Lein ES, Hawrylycz MJ, Ao N, Ayres M, Bensinger A, Bernard A, Boe AF, Boguski MS, Brockway KS, Byrnes EJ, Chen L, Chen L, Chen TM, Chin MC, Chong J, Crook BE, Czaplinska A, Dang CN, Datta S, Dee NR, Desaki AL, Desta T, Diep E, Dolbeare TA, Donelan MJ, Dong HW, Dougherty JG, Duncan BJ, Ebbert AJ, Eichele G, Estin LK, Faber C, Facer BA, Fields R, Fischer SR, Fliss TP, Frensley C, Gates SN, Glattfelder KJ, Halverson KR, Hart MR, Hohmann JG, Howell MP, Jeung DP, Johnson RA, Karr PT, Kawal R, Kidney JM, Knapik RH, Kuan CL, Lake JH, Laramee AR, Larsen KD, Lau C, Lemon TA, Liang AJ, Liu Y, Luong LT, Michaels J, Morgan JJ, Morgan RJ, Mortrud MT, Mosqueda NF, Ng LL, Ng R, Orta GJ, Overly CC, Pak TH, Parry SE, Pathak SD, Pearson OC, Puchalski RB, Riley ZL, Rockett HR, Rowland SA, Royall JJ, Ruiz MJ, Sarno NR, Schaffnit K, Shapovalova NV, Sivisay T, Slaughterbeck CR, Smith SC, Smith KA, Smith BI, Sodt AJ, Stewart NN, Stumpf KR, Sunkin SM, Sutram M, Tam A, Teemer CD, Thaller C, Thompson CL, Varnam LR, Visel A, Whitlock RM, Wohnoutka PE, Wolkey CK, Wong VY, Wood M, Yaylaoglu MB, Young RC, Youngstrom BL, Yuan XF, Zhang B, Zwingman TA, Jones AR | display-authors = 6 | title = Genome-wide atlas of gene expression in the adult mouse brain | journal = Nature | volume = 445 | issue = 7124 | pages = 168–76 | date = January 2007 | pmid = 17151600 | doi = 10.1038/nature05453 | bibcode = 2007Natur.445..168L | s2cid = 4421492 }}

| Structural MRI images

| Human

| Macroscopic

| MRI datasets

| Healthy and Alzheimer's disease

| Yes

| {{cite journal | vauthors = Jack CR, Bernstein MA, Fox NC, Thompson P, Alexander G, Harvey D, Borowski B, Britson PJ, L Whitwell J, Ward C, Dale AM, Felmlee JP, Gunter JL, Hill DL, Killiany R, Schuff N, Fox-Bosetti S, Lin C, Studholme C, DeCarli CS, Krueger G, Ward HA, Metzger GJ, Scott KT, Mallozzi R, Blezek D, Levy J, Debbins JP, Fleisher AS, Albert M, Green R, Bartzokis G, Glover G, Mugler J, Weiner MW | display-authors = 6 | title = The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods | journal = Journal of Magnetic Resonance Imaging | volume = 27 | issue = 4 | pages = 685–91 | date = April 2008 | pmid = 18302232 | pmc = 2544629 | doi = 10.1002/jmri.21049 | first23 = Gregory J. | first22 = Heidi A. | first27 = Joshua | first26 = Daniel | first25 = Richard | first30 = Marilyn | first24 = Katherine T. | first28 = Josef P. | first29 = Adam S. }}

| 3D reconstruction of complete brain from cell-body stained histology sections at 20 micron isotropic resolution

| Human

| Microscopic

| Images

| Healthy

| No

| {{cite journal | vauthors = Amunts K, Lepage C, Borgeat L, Mohlberg H, Dickscheid T, Rousseau MÉ, Bludau S, Bazin PL, Lewis LB, Oros-Peusquens AM, Shah NJ, Lippert T, Zilles K, Evans AC | display-authors = 6 | title = BigBrain: an ultrahigh-resolution 3D human brain model | journal = Science | volume = 340 | issue = 6139 | pages = 1472–5 | date = June 2013 | pmid = 23788795 | doi = 10.1126/science.1235381 | bibcode = 2013Sci...340.1472A | s2cid = 14122170 }}

| fMRI, MRI scans and atlases for human and mouse brains

| Mouse, Human

| Multilevel: brain regions, connections, neurons, gene expression patterns

| MRI datasets, fMRI datasets

| Healthy, Elderly

| No

|

| Meta-analysis and database of MRI studies

| Human

| Macroscopic

| Descriptive, numerical

| Bipolar Disorder

| No

| {{cite journal | vauthors = Kempton MJ, Geddes JR, Ettinger U, Williams SC, Grasby PM | title = Meta-analysis, database, and meta-regression of 98 structural imaging studies in bipolar disorder | journal = Archives of General Psychiatry | volume = 65 | issue = 9 | pages = 1017–32 | date = September 2008 | pmid = 18762588 | doi = 10.1001/archpsyc.65.9.1017 | doi-access = free }}

| Online resource for information about neural circuitry

| Rat, mouse, human

| Multilevel: brain regions, connections, neurons, gene expression patterns

| Descriptive, numerical

| Healthy

| No

|

| Gene expression in the human prefrontal cortex

| Human

| Gene expression patterns

| Descriptive, numerical

| Healthy

| No

|

| A multi-modal, cross-disorder platform for integrated neuroscience research and data by the [https://braininstitute.ca Ontario Brain Institute].

| Human, Animal

| Multimodal datasets (clinical, imaging, molecular, etc.)

| Descriptive, numerical, imaging, molecular, genetics

| Neurodevelopmental, Cerebral Palsy, Epilepsy, Depression, Neurodegeneration, Concussion

| Yes

| {{cite journal | title = Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data | vauthors = Vaccarino AL, Dharsee M, Strother S, Aldridge D, Arnott SR, Behan B, Dafnas C, Dong F, Edgecombe K, El-Badrawi R, El-Emam K, Gee T, Evans SG, Javadi M, Jeanson F, Lefaivre S, Lutz K, MacPhee FC, Mikkelsen J, Mikkelsen T, Mirotchnick N, Schmah T, Studzinski CM, Stuss DT, Theriault E, Evans KR | journal = Frontiers in Neuroinformatics | date = 2018 | volume = 12 | page = 28 | issn = 1662-5196 | doi = 10.3389/fninf.2018.00028 | pmid = 29875648 | pmc = 5974337 | doi-access = free }}

| Structural MRI images and Atlases

| Human

| Macroscopic

| MRI datasets

| Fetuses, healthy and prematurely born neonates

| Yes

|{{cite journal | vauthors = Serag A, Aljabar P, Ball G, Counsell SJ, Boardman JP, Rutherford MA, Edwards AD, Hajnal JV, Rueckert D | display-authors = 6 | title = Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression | journal = NeuroImage | volume = 59 | issue = 3 | pages = 2255–65 | date = February 2012 | pmid = 21985910 | doi = 10.1016/j.neuroimage.2011.09.062 | s2cid = 9747334 }}

| Braingraphs computed from the Human Connectome Project data

| Human

| Macroscopic, up to 1015 nodes

| directed and undirected graphs in anatomically annotated GraphML format

| Healthy

| No

|

{{cite journal | vauthors = Szalkai B, Kerepesi C, Varga B, Grolmusz V | title = Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0 | journal = Cognitive Neurodynamics | volume = 11 | issue = 1 | pages = 113–116 | date = February 2017 | pmid = 28174617 | pmc = 5264751 | doi = 10.1007/s11571-016-9407-z | arxiv = 1602.04776 }}

|

| Atlas, schematic atlas of Macaca fascicularis

| Macaque

| Macroscopic

| Schematic images

| Healthy

| Yes

|

| Different types of data related to brain machine interface

| Human, Monkey

| Macroscopic, Neuron

| Images, Numerical

| Healthy

| No

|

| fMRI coordinate database

| Human

| Macroscopic

| Descriptive

| Healthy

| Yes

| {{cite journal | vauthors = Laird AR, Lancaster JL, Fox PT | title = BrainMap: the social evolution of a human brain mapping database | journal = Neuroinformatics | volume = 3 | issue = 1 | pages = 65–78 | year = 2005 | pmid = 15897617 | doi = 10.1385/ni:3:1:065 | url = http://brainmap.org/pubs/LairdNI05.pdf }}

| Atlas, high resolution stained sections from brains

| Human, primate and non-primate (14 species in all)

| Neuron and Macroscopic

| Images

| Healthy

| No

| {{cite journal | vauthors = Mikula S, Trotts I, Stone JM, Jones EG | title = Internet-enabled high-resolution brain mapping and virtual microscopy | journal = NeuroImage | volume = 35 | issue = 1 | pages = 9–15 | date = March 2007 | pmid = 17229579 | pmc = 1890021 | doi = 10.1016/j.neuroimage.2006.11.053 }}

| Atlas, in-vivo and ex-vivo MRI scans, ECoG recordings

| Common Marmoset, Human

| Macroscopic

| Images

| Healthy

| No

| {{cite journal | vauthors = Okano H, Sasaki E, Yamamori T, Iriki A, Shimogori T, Yamaguchi Y, Kasai K, Miyawaki A | title = Brain/MINDS: A Japanese National Brain Project for Marmoset Neuroscience | journal = Neuron | volume = 92 | issue = 3 | pages = 582–590 | date = November 2016 | pmid = 27809998 | doi = 10.1016/j.neuron.2016.10.018 | doi-access = free }}

| fMRI and PET coordinate database

| Human

| Macroscopic

| Descriptive

| Healthy

| No

| Nielsen, F.A. (2003). [http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/2879/pdf/imm2879.pdf The Brede database: a small database for functional neuroimaging] NeuroImage 19(2), Presented at the 9th International Conference on Functional Mapping of the Human Brain, June 19--22, 2003, New York.

| Atlas, stained sections from brains and MRI images

| Human and 62 other species

| Macroscopic

| Images

| Healthy

| No

|

| fMRI and MRI scans, behavioral data

| Human

| Macroscopic

| Images, Numerical

| Healthy

| No

|{{cite journal | vauthors = Papadopoulos Orfanos D, Michel V, Schwartz Y, Pinel P, Moreno A, Le Bihan D, Frouin V | title = The Brainomics/Localizer database | journal = NeuroImage | volume = 144 | issue = Pt B | pages = 309–314 | date = January 2017 | pmid = 26455807 | doi = 10.1016/j.neuroimage.2015.09.052 | s2cid = 13004274 | url = https://hal-cea.archives-ouvertes.fr/cea-01213448 }}

| Electrophysiological recordings performed in freely moving rats and mice collected by investigators in the Buzsaki Lab

| Mice and rats

| Multiscale

| Spike trains, LFP, Raw ephys data

| Healthy

| No

| {{cite website | url=https://doi.org/10.5281/zenodo.4307883 | doi=10.5281/zenodo.4307883 | year=2020 | last1=Petersen | first1=Peter Christian | last2=Hernandez | first2=Michelle | last3=Buzsáki | first3=György | title=The Buzsaki Lab Databank – Public electrophysiological datasets from awake animals }}{{cite web | url=https://buzsakilab.com/wp/database/ | title=The Buzsaki Lab databank }}

| MRI scans

| Human

| Macroscopic

| MRI

| Healthy

| No

| {{cite journal | vauthors = Tyszka JM, Pauli WM | title = In vivo delineation of subdivisions of the human amygdaloid complex in a high-resolution group template | journal = Human Brain Mapping | volume = 37 | issue = 11 | pages = 3979–3998 | date = November 2016 | pmid = 27354150 | pmc = 5087325 | doi = 10.1002/hbm.23289 }}

| MRI, fMRI, MEG data for ~700 population-derived healthy adults aged 18–88

| Human

| Macroscopic

| Images, Descriptive, Numerical

| Healthy

| No

|{{cite journal | vauthors =Shafto MA, Tyler LK, Dixon M, Taylor JR, Rowe JB, Cusack R, Calder AJ, Marslen-Wilson WD, Duncan J, Dalgleish T, Henson RN, Brayne C, Matthews FE, Cam-CAN | display-authors = 6 | title = The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing | journal = BMC Neurology | volume = 14 | issue = 6 | pages = 204 | date = October 2014 | pmid = 25412575 | pmc = 4219118 | doi = 10.1186/s12883-014-0204-1 | doi-access = free }}

| MRI, CT, and PET imaging of cancer patients with supporting clinical data (in many cases)

| Human

| Macroscopic

| Images, Descriptive, Numerical

| Cancer

| No

|{{cite journal | vauthors = Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F | display-authors = 6 | title = The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository | journal = Journal of Digital Imaging | volume = 26 | issue = 6 | pages = 1045–57 | date = December 2013 | pmid = 23884657 | pmc = 3824915 | doi = 10.1007/s10278-013-9622-7 }}

| Atlas, stained sections from mouse brains showing cerebellar development and gene expression

| Mouse

| Macroscopic, Gene

| Images

| Healthy

| No

| {{cite journal | vauthors = Sato A, Sekine Y, Saruta C, Nishibe H, Morita N, Sato Y, Sadakata T, Shinoda Y, Kojima T, Furuichi T | title = Cerebellar development transcriptome database (CDT-DB): profiling of spatio-temporal gene expression during the postnatal development of mouse cerebellum | journal = Neural Networks | volume = 21 | issue = 8 | pages = 1056–69 | date = October 2008 | pmid = 18603407 | doi = 10.1016/j.neunet.2008.05.004 }}

| Many kinds of neuroscience results that are relevant for modeling

| Human and several other species

| Multiscale

| Spike trains, LFP, MUA, MRI

| Healthy

| Yes

|

|cellular neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments

|Human and several other species

|Multiscale

|Spike trains, LFP, MUA, MRI

|Healthy

|

|

| Reaching data (behavioral, generalization, adaptation, learning, spike, fMRI, uncertainty)

| Human and monkey

| Macroscopic

| Kinematic, Spike, fMRI

| Healthy

| Yes

|

| fMRI datasets from published studies

| Human

| Macroscopic

| fMRI datasets

| Healthy

| Yes

| Van Horn JD, Grethe JS, Kostelec P, Woodward JB, Aslam JA, Rus D, Rockmore D, Gazzaniga MS (2001)

[http://rstb.royalsocietypublishing.org/content/356/1412/1323.long The Functional Magnetic Resonance Imaging Data Center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies]Philos Trans R Soc Lond B Biol Sci Aug 29;356(1412):1323-39

|International FDG-PET scan neurodegenerative disease database

|Human

|Macroscopic

|FDG-PET images

|Parkinson's disease (PD), Alzheimer's disease (AD), multiple system atrophy (MSA), progressive supranuclear palsy (PSP), etc.

|Yes

|

| Circuitry, neural types, electrophysiology

| Adult human

| Neuron

| Cell morphology, electrophysiology, region makeup, connectivity

| Healthy

| Yes

| {{cite web|title=Hippocampome|url=http://hippocampome.org/php/index.php|website=hippocampome.org|access-date=10 August 2016}}{{cite journal | vauthors = Wheeler DW, White CM, Rees CL, Komendantov AO, Hamilton DJ, Ascoli GA | title = Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus | journal = eLife | volume = 4 | pages = e09960 | date = September 2015 | pmid = 26402459 | pmc = 4629441 | doi = 10.7554/eLife.09960 | doi-access = free }}

| Infant brain atlases from 2 weeks to 2 years of age

| Human infants

| Macroscopic, microscopic, brain regions

| MRI

| Healthy

| No

| {{cite journal | vauthors = Ahmad S, Wu W, Wu Z, Thung KH, Liu S, Lin W, Li G, Wang L, Yap PT | title = Multifaceted atlases of the human brain in its infancy | journal = Nature Methods | volume = 20 | pages = 55–64 | date = 2023 | issue = 1 | pmid = 36585454 | s2cid = 247600108 | doi = 10.1038/s41592-022-01703-z | pmc = 9834057 }}

| EEG, metadata, imaging, annotations on data

| Humans and animal models of epilepsy

| EEG, local fields, micro-ECoG

| Electrophysiology

| Non-healthy, several healthy

| Yes

|

| Functional connectivity data from many different groups

| Invertebrates (47 species in all)

| Macroscopic

| Functional connectivity

| Healthy, non-healthy

| Yes

|

| Photos of dissections of invertebrates nervous systems

| Invertebrates (47 species in all)

| Macroscopic

| Photos

| Healthy

| No

|

| Ultrahigh resolution MRI data of a single participant including 150 μm ToF angiography, 250 μm T1-weighted MPRAGE, 330 μm QSM, 450 μm T2-weighted TSE, 800 μm DTI, one hour continuous 1.8 mm rs-fMRI and structural data acquired over more than a decade

| Human

| Mesoscopic

| Structural MRI with various contrasts, microstructure MRI and functional MRI

| Healthy

| No

| {{cite journal | vauthors = Lüsebrink F, Mattern H, Yakupov R, Acosta-Cabronero J, Ashtarayeh M, Oeltze-Jafra S, Speck O | title = Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom | journal = Scientific Data | volume = 8 | issue = 1 | pages = 138 | date = May 2021 | pmid = 34035308 | doi = 10.1038/s41597-021-00923-w| pmc = 8149725 | bibcode = 2021NatSD...8..138L | doi-access = free }}

| Probabilistic cytoarchitectonic 3D maps of the human brain

| Human

| Mesoscopic

| Structural

| Healthy

| No

|{{cite journal | vauthors = Amunts K, Zilles K | title = Architectonic Mapping of the Human Brain beyond Brodmann | journal = Neuron | volume = 88 | issue = 6 | pages = 1086–1107 | date = December 2015 | pmid = 26687219 | doi = 10.1016/j.neuron.2015.12.001 | doi-access = free }}{{cite journal | vauthors = Zilles K, Amunts K | title = Centenary of Brodmann's map--conception and fate | journal = Nature Reviews. Neuroscience | volume = 11 | issue = 2 | pages = 139–45 | date = February 2010 | pmid = 20046193 | doi = 10.1038/nrn2776 | s2cid = 5278040 }}

| Functional atlas of the human cortex

| Human

| Macroscopic

| Functional

| Healthy

| No

|{{cite web |url=https://kymata.org/ |title=The Kymata Atlas Homepage |website=The Kymata Atlas |publisher=University of Cambridge |access-date=11 December 2015}}

| Meta-analysis and database of MRI studies

| Human

| Macroscopic

| Descriptive, numerical

| Major Depressive Disorder

| No

| {{cite journal | vauthors = Kempton MJ, Salvador Z, Munafò MR, Geddes JR, Simmons A, Frangou S, Williams SC | display-authors = 6 | title = Structural neuroimaging studies in major depressive disorder. Meta-analysis and comparison with bipolar disorder | journal = Archives of General Psychiatry | volume = 68 | issue = 7 | pages = 675–90 | date = July 2011 | pmid = 21727252 | doi = 10.1001/archgenpsychiatry.2011.60 | doi-access = free }} see also MRI database at [http://sites.google.com/site/depressiondatabase/ www.depressiondatabase.org]

| Gene expression in the common marmoset whole brain

| Common Marmoset

| Macroscopic, Gene

| Images

| Healthy

| No

| {{cite journal | vauthors = Shimogori T, Abe A, Go Y, Hashikawa T, Kishi N, Kikuchi SS, Kita Y, Niimi K, Nishibe H, Okuno M, Saga K, Sakurai M, Sato M, Serizawa T, Suzuki S, Takahashi E, Tanaka M, Tatsumoto S, Toki M, U M, Wang Y, Windak KJ, Yamagishi H, Yamashita K, Yoda T, Yoshida AC, Yoshida C, Yoshimoto T, Okano H | title = Digital gene atlas of neonate common marmoset brain | journal = Neurosci Res | volume = 128 | pages = 1–13 | date = March 2018 | pmid = 29111135 | doi = 10.1016/j.neures.2017.10.009 | s2cid = 3735944 }}

| Atlas, stained sections from mouse brains

| Mouse

| Macroscopic

| Images

| Healthy

| No

| Rosen GD, Williams AG, Capra JA, Connolly MT, Cruz B, Lu L, Airey DC, Kulkarni K, Williams RW (2000) The Mouse Brain Library @ www.mbl.org. Int Mouse Genome Conference 14: 166. www.mbl.org.

|Complete, whole-brain reconstructions

|Mouse

|Neuron

|Cell morphology, projectome connectivity

|Healthy

|No

|{{Cite journal |last1=Winnubst |first1=Johan |last2=Bas |first2=Erhan |last3=Ferreira |first3=Tiago A. |last4=Wu |first4=Zhuhao |last5=Economo |first5=Michael N. |last6=Edson |first6=Patrick |last7=Arthur |first7=Ben J. |last8=Bruns |first8=Christopher |last9=Rokicki |first9=Konrad |last10=Schauder |first10=David |last11=Olbris |first11=Donald J. |last12=Murphy |first12=Sean D. |last13=Ackerman |first13=David G. |last14=Arshadi |first14=Cameron |last15=Baldwin |first15=Perry |date=2019-09-19 |title=Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain |journal=Cell |volume=179 |issue=1 |pages=268–281.e13 |doi=10.1016/j.cell.2019.07.042 |issn=1097-4172 |pmc=6754285 |pmid=31495573}}

|Volumetric datasets, atlases, and connectomics research

|Multiple

|Multiscale

|Images (3D, 4D)

|Various

|No

|

| Electrophysiology of neurons

| Human, others

| Neuron

| Electrophysiological properties and data

| Healthy

| No

| {{cite web|last1=Tripathy|first1=Shreejoy|last2=Gerkin|first2=Richard|title=NeuroElectro|url=http://www.neuroelectro.org/|website=www.neuroelectro.org|access-date=10 August 2016}}

| 3D models of real neurons

| Human, rat, mouse, monkey, others

| Neuron

| Images and 3D data

| Healthy

| No

| {{cite journal | vauthors = Ascoli GA, Donohue DE, Halavi M | title = NeuroMorpho.Org: a central resource for neuronal morphologies | journal = The Journal of Neuroscience | volume = 27 | issue = 35 | pages = 9247–51 | date = August 2007 | pmid = 17728438 | pmc = 6673130 | doi = 10.1523/JNEUROSCI.2055-07.2007 }}

| Manually labeled MRI Brain Scans

| Human

| Macroscopic

| T1-weighted MRI, labeled volumes

| Healthy

| No

|

| Database of Neuron properties and classification

| Human

| Neuron

| Descriptive

| Healthy

| No

| {{cite journal | vauthors = Mirsky JS, Nadkarni PM, Healy MD, Miller PL, Shepherd GM | title = Database tools for integrating and searching membrane property data correlated with neuronal morphology | journal = Journal of Neuroscience Methods | volume = 82 | issue = 1 | pages = 105–21 | date = July 1998 | pmid = 10223520 | doi = 10.1016/S0165-0270(98)00049-1 | s2cid = 12871618 | doi-access = free }}

|Award-winning free collaboratory with over 1000 neuroinformatics software tools, imaging datasets, and community resources including forums and events.

|Human, mouse, rat, other

|Microscopic, macroscopic

|Datasets

|Healthy and diseased

|No

|

| Structural MRI images

| Human

| Macroscopic

| MRI datasets

| Healthy and Alzheimer's disease

| Yes

| {{cite journal | vauthors = Marcus DS, Wang TH, Parker J, Csernansky JG, Morris JC, Buckner RL | title = Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults | journal = Journal of Cognitive Neuroscience | volume = 19 | issue = 9 | pages = 1498–507 | date = September 2007 | pmid = 17714011 | doi = 10.1162/jocn.2007.19.9.1498 | s2cid = 10840552 | url = http://nrs.harvard.edu/urn-3:HUL.InstRepos:33896768 }}

| Database of different circuitry frameworks and neuroimaging datasets, including volumetric datasets, atlases, and connectomics research

| Human, mouse, bat, zebrafish, insect, other

| Multilevel: brain regions, connections, neurons, gene expression patterns

| Images and 3D data

| Healthy

| No

| {{Cite journal|last=Vogelstein|first=Joshua T|date=2011-11-18|title=Q&A: What is the Open Connectome Project?|journal=Neural Systems & Circuits|volume=1|issue=1|pages=16|doi=10.1186/2042-1001-1-16|issn=2042-1001|pmc=3278382|pmid=22329952 |doi-access=free }}

| a meta-database specific to fNIRS data. The “Openfnirs meta-database” (https://openfnirs.org/data/) is a part of the openfnirs initiative whose mission is to foster the development of an fNIRS ecosystem and to promote the open dissemination of fNIRS hardware and software, as well as provide access to resources, documentation and training opportunities for fNIRS users.

| Human

| Macroscopic

| fNIRS (Functional_near-infrared_spectroscopy)

| Healthy and eventually various diseases

| No

| {{Citation | vauthors=((Yücel, M. A.)), ((Tucker, S.)), ((Choi, J.)), ((Boas, D. A.)) | year=2020 | title=Data – openfnirs | url=https://openfnirs.org/data/ | access-date=18 April 2024}}

|

| Large and diverse collection of raw data from various research studies distributed under permissive licenses (CC0 and CC BY). All datasets are formatted according to the same format (Brain Imaging Data Structure) and can be accessed via Amazon S3.

| Human

| Macroscopic

| Functional, structural, diffusion MRI, and Magnetoencephalography datasets

| Healthy and various diseases

| No

| {{cite journal | vauthors = Poldrack RA, Barch DM, Mitchell JP, Wager TD, Wagner AD, Devlin JT, Cumba C, Koyejo O, Milham MP | title = Toward open sharing of task-based fMRI data: the OpenfMRI project | journal = Frontiers in Neuroinformatics | volume = 7 | issue = 12 | pages = 12 | date = Jul 2013 | pmid = 23847528 | pmc = 3703526 | doi = 10.3389/fninf.2013.00012 | doi-access = free }}

|

| Magnetoencephalography, structural MRI datasets, and demographics

| Human

| Macroscopic

| MEG, T1 MRI datasets, demographic data

| Healthy, ADHD, Traumatic brain injury

| Yes

| {{cite journal | vauthors = Niso G, Rogers C, Moreau JT, Chen LY, Madjar C, Das S, Bock E, Tadel F, Evans AC, Jolicoeur P, Baillet S | display-authors = 6 | title = OMEGA: The Open MEG Archive | journal = NeuroImage | volume = 124 | issue = Pt B | pages = 1182–7 | date = January 2016 | pmid = 25896932 | doi = 10.1016/j.neuroimage.2015.04.028 | s2cid = 29021506 }}

|

| Structural, Diffusion and Functional MRI datasets

| Human

| Human Macroscopic

| MRI datasets and Metadata

| Healthy and Pain Conditions

| Yes

| {{cite journal | vauthors = Labus JS, Naliboff B, Kilpatrick L, Liu C, Ashe-McNalley C, dos Santos IR, Alaverdyan M, Woodworth D, Gupta A, Ellingson BM, Tillisch K, Mayer EA | display-authors = 6 | title = Pain and Interoception Imaging Network (PAIN): A multimodal, multisite, brain-imaging repository for chronic somatic and visceral pain disorders | journal = NeuroImage | volume = 124 | issue = Pt B | pages = 1232–7 | date = January 2016 | pmid = 25902408 | pmc = 4627849 | doi = 10.1016/j.neuroimage.2015.04.018 }}

|

| Pig Brain Atlas is a three-dimensional MRI-based averaged brain and atlas of the neonatal piglet (Sus scrofa).

| Pig (Sus scrofa)

| Macroscopic

| Structural MRI

| Healthy

| Yes

|{{cite journal | vauthors = Conrad MS, Sutton BP, Dilger RN, Johnson RW | title = An In Vivo Three-Dimensional Magnetic Resonance Imaging-Based Averaged Brain Collection of the Neonatal Piglet (Sus scrofa)| journal = PLOS ONE | volume = 9 | issue = 9 | pages = e107650| date = September 2014 | doi = 10.1371/journal.pone.0107650 | pmid = 25254955| pmc = 4177841| bibcode = 2014PLoSO...9j7650C| doi-access = free}}

|

| PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology.

| Non-human primate and human

| Neuron

| Electrophysiology, Morphology and 3-d Reconstructions

| Healthy

| No

|

| SchizConnect is an open, public search-and-download virtual database for schizophrenia neuroimaging (MRI) images and related data.

| Human

| Macroscopic

| Structural, Diffusion and Functional MRI datasets, cognitive and clinical assessments

| Schizophrenia (+ siblings), Bipolar Disorder, Controls (+ siblings)

| Yes

| {{cite journal | vauthors = Wang L, Alpert KI, Calhoun VD, Cobia DJ, Keator DB, King MD, Kogan A, Landis D, Tallis M, Turner MD, Potkin SG, Turner JA, Ambite JL | display-authors = 6 | title = SchizConnect: Mediating neuroimaging databases on schizophrenia and related disorders for large-scale integration | journal = NeuroImage | volume = 124 | issue = Pt B | pages = 1155–67 | date = January 2016 | pmid = 26142271 | pmc = 4651768 | doi = 10.1016/j.neuroimage.2015.06.065 }}

|

|Over 30,000 clinical EEGs and accompanying neurologist reports

|Human

|Macroscopic

|EEG

|Healthy and various diseases

|Yes

|{{cite journal | vauthors = Obeid I, Picone J | title = The Temple University Hospital EEG Data Corpus | journal = Frontiers in Neuroscience | volume = 10 | pages = 196 | date = 2016-05-13 | pmid = 27242402 | pmc = 4865520 | doi = 10.3389/fnins.2016.00196 | doi-access = free }}

|

| T1-weighted MR data acquired using prospective motion correction at an ultrahigh isotropic resolution of 250 μm.

| Human

| Mesoscopic

| Structural MRI dataset including scanner's raw to processed data

| Healthy

| No

| {{cite journal | vauthors = Lüsebrink F, Sciarra A, Mattern H, Yakupov R, Speck O | title = 1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 μm | journal = Scientific Data | volume = 4 | issue = 170032 | pages = 170032 | date = March 2017 | pmid = 28291265 | pmc = 5349250 | doi = 10.1038/sdata.2017.32 | bibcode = 2017NatSD...470032L }}

|

| Structural and Diffusion Weighted MRI images in Native and Atlas Space

| Macaque

| Macroscopic

| MRI datasets

| Healthy

| No

|

| Atlas, Structural MRI images and PET images

| Human

| Macroscopic

| Images

| Healthy and various diseases

| No

|

| Unthresholded statistical maps from MRI and PET studies.

| Human

| Macroscopic

| Images

| Healthy and various diseases

| No

| {{cite bioRxiv | last1 = Gorgolewski | first1 = KJ | last2 = Varoquaux | first2 = G | last3 = Rivera | first3 = G | last4 = Schwartz | first4 = Y | last5 = Ghosh | first5 = SS | last6 = Maumet | first6 = M | last7 = Nichols | first7 = T. E. | last8 = Poldrack | first8 = RA | last9 = Poline | first9 = J-B | last10 = Yarkoni | first10 = T | last11 = Margulies | first11 = DS |name-list-style=vanc |date=Oct 2014 | biorxiv = 10.1101/010348 | title = NeuroVault.org: A web-based repository for collecting and sharing unthresholded statistical maps of the human brain }}

! Description

! Organism

! Level (gene, neuron, macroscopic)

! Data (MRI, fMRI, images, descriptive, numerical)

! Disorder

! Register to view data?

! Ref.

| A meta database of neuroscience-relevant data incorporating over 100 databases.

| Human, mouse, rat, worm

| Microscopic, macroscopic

| Datasets

| Healthy and diseased

| No

| {{cite journal | vauthors = Gardner D, Akil H, Ascoli GA, Bowden DM, Bug W, Donohue DE, Goldberg DH, Grafstein B, Grethe JS, Gupta A, Halavi M, Kennedy DN, Marenco L, Martone ME, Miller PL, Müller HM, Robert A, Shepherd GM, Sternberg PW, Van Essen DC, Williams RW | display-authors = 6 | title = The neuroscience information framework: a data and knowledge environment for neuroscience | journal = Neuroinformatics | volume = 6 | issue = 3 | pages = 149–60 | date = September 2008 | pmid = 18946742 | pmc = 2661130 | doi = 10.1007/s12021-008-9024-z | url = http://neuinfo.org/about/publications.shtm }}