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Staircase thermal modulation electronic nose dataset
<p>The dataset has 99 rows, corresponding to 99 odor samples, their labels are shown in label.xlsx</p> <p>The dataset has 450 columns, corresponding to the responses of 30 odor sensors under 15 heating voltages (2.6V-5.4V).</p> <p>Taking the first row as an example, the first to 15th elements correspond to the response values of sensor No.1 at heating voltage range from 2.6 V to 5.4 V in 0.2 V increments; The 16th to 30th elements correspond to the response values of sensor No.2 at heating voltage range from 2.6 V to 5.4 V in 0.2 V increments; And so on.</p> <p>This dataset is supplied by School of Microelectronics and Communication Engineering, Chongqing University and Chongqing Key Laboratory of Bio-perception Intelligent Information Processing.</p>
77-47-Q119 Bone Nose Pin, Hot Springs Village
Bone Nose or Hair Pin, Hot Springs Village, Port Moller, Alaska CAT# 77-47-Q119 Okada excavations HHQ, Level 3-4 Hot Springs 1C. 1300-1000 BCE The Hot Springs site is a massive village on the shore of Port Moller, on the Alaska Peninsula side of the southern Bering Sea. It was excavated by several different teams over the last 100 years. The main occupations are from 2000 BCE-1000 BCE, and from 100 CE to 800 CE. The Hot Springs artifacts are presented as a result of the research conducted under grants NSF 0137756, NSF 1204020, NSF 1139266, and NSF 1321411. H. Maschner, Principal Investigator. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing completed at Global Digital Heritage. Source: Objaverse 1.0 / Sketchfab
FIGURE 8 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)
FIGURE 8. Page from the Royal Swedish Academy of Sciences (KVA) donation catalogue with the Carleson donation entry on 4 October 1746.
FIGURE 4. Coluber ammodytes specimen UPSZTY 95 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)
FIGURE 4. Coluber ammodytes specimen UPSZTY 95, collected by Carleson. Details of the lateral side of the head right and left; dorsolateral view of the whole specimen; frontal view of the rostral area; and dorsal view of the head.
FIGURE 7 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)
FIGURE 7. Relative position of the lectotype in the projection of the first and the second correspondence axes (qualitative data). Use of names in this figure follows Tomovic (2006) and Hempel et al. (2018).
FIGURE 6 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)
FIGURE 6. Relative position of the lectotype in the projection of the first and the second canonical axes (size-adjusted morphometric and meristic data). Use of names in this figure follows Tomovic (2006) and Hempel et al. (2018).
FIGURE 3 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)
FIGURE 3. Plate from the dissertation by Linnaeus & Sundius (1748) with Figure II depicting the Coluber ammodytes specimen.
Confusion Matrices for Person Identification using E-Nose
<p>The Validation results folder contains results from the classification problem. This zip file contains confusion matrices for each participant with each configuration and the cumulative classifier for each configuration. Each confusion matrix shows the detailed classification results of a test set containing 18 positive and 486 negative samples.</p> <p>The CrossValidation results folder contains results from cross-validation. This zip file only contains cumulative confusion matrices for each configuration. The confusion matrices here show the test set which should contain approximately 54 positive samples and 1456 negative samples.</p> <p>The filename for each confusion matrix shows what they represent, and are in the form of 'CM_<Classifier name>_P<Participant No./Cumulative>_BL<Breath Length>_REF <Reference Value used>'</p> <p>Reference value refers to using either relative, absolute, or both signals together.</p>
Predicting the crossmodal correspondences of odors using an electronic nose
<p>Odour Recordings</p> <p>There are 100 recordings in total of 10 different essential oils; five were from Mystic Moments™ (caramel, cherry, coffee, freshly cut grass, and pine) and five from Miaroma™ (black pepper, lavender, lemon, orange, and peppermint).<br> Each recording is 10 minutes in duration (600 seconds). Columns in each of the .csv files are in the following order: time, air quality, pollution level, temperature, pressure, humidity, gas, MQ3, MQ5, MQ9, and HCHO. The file's name denotes the odour being recorded and the record number (1 - 10).<br> For more information, please view the publication - R.J. Ward, S. Rahman, S.M. Wuerger, A. Marshall, Predicting the crossmodal correspondences of odors using an electronic nose, Heliyon.</p> <p>Perceptual Data </p> <p>The underlying perceptual data used from R.J. Ward, S.M. Wuerger, A. Marshall, Smelling Sensations: Olfactory Crossmodal Correspondences, J. Percept. Imaging. 4 (2021) 1–12. https://doi.org/10.2352/j.percept.imaging.2021.4.2.020402.<br> The data used from the later paper is the (angularity of shapes, smoothness of texture, perceived pleasantness, pitch, and the colour ratings in L*a*b* space).</p> <p>Each file contains the raw perceptual ratings for the ten different odours (columns) from sixty-eight different participants (rows) in the following order: black pepper, caramel, cherry, coffee, freshly cut grass, lavender, lemon, orange, peppermint, and pine.<br> NOTE: the pitch ratings only contain data from sixy participants due to it being added to the experiment at a later date.</p> <p>The folder regression models contains the required MATLAB code to train and test the regression models for predicting the crossmodal correspondences of odors using physicochemical data.</p> <p>The folder raw perceptual data contains the raw unprocessed perceptual data in .csv format.</p> <p>The folder e-nose code contains the code to drive the Arduino circuit and additional libraries required by the sensors.</p> <p>The folder e-nose recorder contains a Unity project and code to receive the UDP packets from the e-nose and log them.</p> <p><br> If you use this data please cite the following papers;</p> <p>Perceptual Data<br> R.J. Ward, S.M. Wuerger, A. Marshall, Smelling Sensations: Olfactory Crossmodal Correspondences, J. Percept. Imaging. 4 (2021) 1–12. https://doi.org/10.2352/j.percept.imaging.2021.4.2.020402</p> <p>Chemical Data<br> R. Ward, S. Rahman, S. Wuerger, A. Marshall, Predicting the colour associated with odours using an electronic nose, in: 1st Work. Multisensory Exp. - SensoryX’21, 2021: pp. 1–6. https://doi.org/10.5753/sensoryx.2021.15683.<br> R.J. Ward, S. Rahman, S.M. Wuerger, A. Marshall, Predicting the crossmodal correspondences of odors using an electronic nose, Heliyon, (under review as of file upload).</p>
Body mass and hibernation microclimate may predict bat susceptibility to white-nose syndrome
<p>In multi-host disease systems, differences in mortality between species may reflect variation in host physiology, morphology, and behavior. In systems where the pathogen can persist in the environment, microclimate conditions, and the adaptation of the host to these conditions, may also impact mortality. White-nose syndrome is an emerging disease of hibernating bats caused by an environmentally persistent fungus, Pseudogymnoascus destructans. We assessed the effects of body mass, torpid metabolic rate, evaporative water loss, and hibernaculum temperature and water vapor deficit on predicted overwinter survival of bats infected by P. destructans. We used a hibernation energetics model in an individual-based model framework to predict the probability of survival of nine bat species at eight sampling sites across North America. The model predicts time until fat exhaustion as a function of species-specific host characteristics, hibernaculum microclimate, and fungal growth. We fit a linear model to determine relationships with each variable and predicted survival and semi-partial correlation coefficients to determine the major drivers in variation in bat survival. We found host body mass and hibernaculum water vapor deficit explained over half of the variation in survival with white-nose syndrome across species. As previous work on the interplay between host and pathogen physiology and the environment has focused on species with narrow microclimate preferences, our view on this relationship is limited. Our results highlight some key predictors of interspecific survival among western bat species and provide a framework to assess impacts of white-nose syndrome as the fungus continues to spread into western North America.</p>
On following pages: 4. Molina's Hog-nosed Skunk (Conepatus chinga); 5. Striped Hog-nosed Skunk (Conepatus semistriatus Striped Skunk (Mephitis mephitis); 9. Pygmy Spotted Skunk (Spilogale pygmaea); 10. Eastern Spotted Skunk (Spilogale); 6. Humboldt's Hog-nosed Skunk (Conepatus humboldti); 7. Hooded Skunk (Mephitis macroura); 8. putorius); 11. Western Spotted Skunk (Spilogale gracilis); 12. Southern Spotted Skunk (Spilogale angustifrons). in Mephitidae
On following pages: 4. Molina's Hog-nosed Skunk (Conepatus chinga); 5. Striped Hog-nosed Skunk (Conepatus semistriatus Striped Skunk (Mephitis mephitis); 9. Pygmy Spotted Skunk (Spilogale pygmaea); 10. Eastern Spotted Skunk (Spilogale); 6. Humboldt's Hog-nosed Skunk (Conepatus humboldti); 7. Hooded Skunk (Mephitis macroura); 8. putorius); 11. Western Spotted Skunk (Spilogale gracilis); 12. Southern Spotted Skunk (Spilogale angustifrons).
On following pages: 29. Marine Otter (Lontra felina); 30. Neotropical Otter (Lontra longicaudis); 31. Southern River Otter (Lontra provocax); 32. Sea Otter (Enhydra lutris); 33. Spotted-necked Otter (Hydrictis maculicollis); 34. Eurasian Otter (Lutra lutra); 35. Hairy-nosed Otter (Lutra sumatrana); 36. African Clawless Otter (Aonyx capensis); 37. Asian Small-clawed Otter (Aonyx cinereus); 38. Smooth-coated Otter (Lutrogale perspicillata). in Mustelidae
On following pages: 29. Marine Otter (Lontra felina); 30. Neotropical Otter (Lontra longicaudis); 31. Southern River Otter (Lontra provocax); 32. Sea Otter (Enhydra lutris); 33. Spotted-necked Otter (Hydrictis maculicollis); 34. Eurasian Otter (Lutra lutra); 35. Hairy-nosed Otter (Lutra sumatrana); 36. African Clawless Otter (Aonyx capensis); 37. Asian Small-clawed Otter (Aonyx cinereus); 38. Smooth-coated Otter (Lutrogale perspicillata).
On following pages: 5. Cacomistle (Bassariscus sumichrasti); 6. South American Coati (Nasua nasua); 7. White-nosed Raccoon (Procyon cancrivorus); 11. Northern Raccoon (Procyon loton; 12. Cozumel Raccoon (Procyon pygmaeus) Coati (Nasua narica); 8. Mountain Coati (Nasuella olivacea); 9. Kinkajou (Potos flavus); 10. Crab-eating. in Procyonidae
On following pages: 5. Cacomistle (Bassariscus sumichrasti); 6. South American Coati (Nasua nasua); 7. White-nosed Raccoon (Procyon cancrivorus); 11. Northern Raccoon (Procyon loton; 12. Cozumel Raccoon (Procyon pygmaeus) Coati (Nasua narica); 8. Mountain Coati (Nasuella olivacea); 9. Kinkajou (Potos flavus); 10. Crab-eating.
On following pages: 327. Rufous Tube-nosed Bat (Murina leucogasten; 328. Bicolored Tube-nosed Bat (Murina bicolon); 329. Rongjiang Tube-nosed Bat (Murina rongjiangensis); 330. Fang He Tube-nosed Bat (Murina fanjingshanensis); 331. Shuipu Tube-nosed Bat (Murina shuipuensis); 332. Dusky Tube-nosed Bat (Murina fusca); 333. Hilgendorf's Tube-nosed Bat (Murina hilgendorf); 334. Little Tube-nosed Bat (Murina aurata); 335. Jaintia Tube-nosed Bat (Murina jaintiana); 336. Rainforest Tube-nosed Bat (Murina pluvialis); 337. Fea's Tube-nosed Bat (Murina feae); 338. Beelzebub Tube-nosed Bat (Murina beelzebub); 339. Lorelie's Tube-nosed Bat (Murina lorelieae); 340. Vietnamese Tube-nosed Bat Murina harpioloides); 341. Golden-haired Tube-nosed Bat (Murina chrysochaetes); 342. Harrison's Tube-nosed Bat (Murina harrisoni); 343. Ussuri Tube-nosed Bat (Murina ussuriensis); 344. Gloomy Tube-nosed Bat (Murina tenebrosa); 345. Ryukyu Tube-nosed Bat (Murina ryukyuana); 346. Hutton's Tube-nosed Bat (Murina huttonii); 347. Taiwan Tube-nosed Bat (Murina puta). in Vespertilionidae
On following pages: 327. Rufous Tube-nosed Bat (Murina leucogasten; 328. Bicolored Tube-nosed Bat (Murina bicolon); 329. Rongjiang Tube-nosed Bat (Murina rongjiangensis); 330. Fang He Tube-nosed Bat (Murina fanjingshanensis); 331. Shuipu Tube-nosed Bat (Murina shuipuensis); 332. Dusky Tube-nosed Bat (Murina fusca); 333. Hilgendorf's Tube-nosed Bat (Murina hilgendorf); 334. Little Tube-nosed Bat (Murina aurata); 335. Jaintia Tube-nosed Bat (Murina jaintiana); 336. Rainforest Tube-nosed Bat (Murina pluvialis); 337. Fea's Tube-nosed Bat (Murina feae); 338. Beelzebub Tube-nosed Bat (Murina beelzebub); 339. Lorelie's Tube-nosed Bat (Murina lorelieae); 340. Vietnamese Tube-nosed Bat Murina harpioloides); 341. Golden-haired Tube-nosed Bat (Murina chrysochaetes); 342. Harrison's Tube-nosed Bat (Murina harrisoni); 343. Ussuri Tube-nosed Bat (Murina ussuriensis); 344. Gloomy Tube-nosed Bat (Murina tenebrosa); 345. Ryukyu Tube-nosed Bat (Murina ryukyuana); 346. Hutton's Tube-nosed Bat (Murina huttonii); 347. Taiwan Tube-nosed Bat (Murina puta).
On following pages: 368. Himalayan Broad-muzzled Bat (Submyotodon caliginosus); 369. Moupin Broad-muzzled Bat (Submyotodon moupinensis); 370. Northern Myotis (Myotis septentrionalis); 371. South-western Myotis (Myotis auriculus); 372. Western Small-footed Myotis (Myotis ciliolabrum); 373. Dark-nosed Small-footed Myotis (Myotis melanorhinus); 374. Eastern Small-footed Myotis (Myotis leibil); 375. California Myotis (Myotis californicus); 376. Little Brown Myotis (Myotis lucifugus); 377. Keen's Myotis (Myotis keenii); 378. Long-eared Myotis (Myotis evotis); 379. Fringed Myotis (Myotis thysanodes); 380. Arizona Myotis (Myotis occultus); 381. Longlegged Myotis (Myotis volans); 382. Flat-headed Myotis (Myotis planiceps); 383. Indiana Myotis (Myotis sodalis); 384. Cinnamon Myotis (Myotis fortidens); 385. Findley's Myotis (Myotis findley)); 386. Northern Hairy-legged Myotis (Myotis pilosatibialis); 387. Southern Hairy-legged Myotis (Myotis keaysi); 388. Red Myotis (Myotis ruber); 389. Riparian Myotis (Myotis riparius); 390. Velvety Myotis (Myotis simus); 391. Golden Myotis (Myotis midastactus); 392. Elegant Myotis (Myotis elegans); 393. Fish-eating Myotis (Myotis vives). in Vespertilionidae
On following pages: 368. Himalayan Broad-muzzled Bat (Submyotodon caliginosus); 369. Moupin Broad-muzzled Bat (Submyotodon moupinensis); 370. Northern Myotis (Myotis septentrionalis); 371. South-western Myotis (Myotis auriculus); 372. Western Small-footed Myotis (Myotis ciliolabrum); 373. Dark-nosed Small-footed Myotis (Myotis melanorhinus); 374. Eastern Small-footed Myotis (Myotis leibil); 375. California Myotis (Myotis californicus); 376. Little Brown Myotis (Myotis lucifugus); 377. Keen's Myotis (Myotis keenii); 378. Long-eared Myotis (Myotis evotis); 379. Fringed Myotis (Myotis thysanodes); 380. Arizona Myotis (Myotis occultus); 381. Longlegged Myotis (Myotis volans); 382. Flat-headed Myotis (Myotis planiceps); 383. Indiana Myotis (Myotis sodalis); 384. Cinnamon Myotis (Myotis fortidens); 385. Findley's Myotis (Myotis findley)); 386. Northern Hairy-legged Myotis (Myotis pilosatibialis); 387. Southern Hairy-legged Myotis (Myotis keaysi); 388. Red Myotis (Myotis ruber); 389. Riparian Myotis (Myotis riparius); 390. Velvety Myotis (Myotis simus); 391. Golden Myotis (Myotis midastactus); 392. Elegant Myotis (Myotis elegans); 393. Fish-eating Myotis (Myotis vives).
On following pages: 351. Flores Tube-nosed Bat (Murina florium); 352. Bronze Tube-nosed Bat (Murina aenea): 353. Scully's Tube-nosed Bat (Murina tubinaris); 354. Fiona's Tube-nosed Bat (Murina fionae): 355. Guillen's Tube-nosed Bat (Murina guilleni); 356. Round-eared Tube-nosed Bat (Murina cyclotis); 357. Peninsular Tube-nosed Bat (Murina peninsularis); 358. Libo Tube-nosed Bat (Murina liboensis); 359. Kon Tum Tube-nosed Bat (Murina kontumensis); 360. Hkakabo Razi Tube-nosed Bat (Murina hkakaboraziensis); 361. Gilded Tube-nosed Bat (Murina rozendaali): 362. Elery's Tube-nosed Bat (Murina eleryi); 363. Bala Tube-nosed Bat (Murina balaensis) ' 364. Hidden Tube-nosed Bat (Murina recondita); 365. Gracile Tube-nosed Bat (Murina gracilis). in Vespertilionidae
On following pages: 351. Flores Tube-nosed Bat (Murina florium); 352. Bronze Tube-nosed Bat (Murina aenea): 353. Scully's Tube-nosed Bat (Murina tubinaris); 354. Fiona's Tube-nosed Bat (Murina fionae): 355. Guillen's Tube-nosed Bat (Murina guilleni); 356. Round-eared Tube-nosed Bat (Murina cyclotis); 357. Peninsular Tube-nosed Bat (Murina peninsularis); 358. Libo Tube-nosed Bat (Murina liboensis); 359. Kon Tum Tube-nosed Bat (Murina kontumensis); 360. Hkakabo Razi Tube-nosed Bat (Murina hkakaboraziensis); 361. Gilded Tube-nosed Bat (Murina rozendaali): 362. Elery's Tube-nosed Bat (Murina eleryi); 363. Bala Tube-nosed Bat (Murina balaensis) ' 364. Hidden Tube-nosed Bat (Murina recondita); 365. Gracile Tube-nosed Bat (Murina gracilis).
Subspecies and Distribution. M.s.swillaTemminck,1840—MalayPeninsula(includingLangkawiI),Borneo,Suma-tra,Java,andthePhilippines(Luzon,Cebu,Mindanao,andPalawanIs). M. s. canescens Thomas, 1923 — Nias I, off W Sumatra. Apparently also in C Sulawesi, Peleng I, and New Guinea because these specimens are similar to this speciesin size, although they were originally identified as the Flores Tube-nosed Bat (M. florium). These records are not mapped here. in Vespertilionidae
Subspecies and Distribution. M.s.swillaTemminck,1840—MalayPeninsula(includingLangkawiI),Borneo,Suma-tra,Java,andthePhilippines(Luzon,Cebu,Mindanao,andPalawanIs). M. s. canescens Thomas, 1923 — Nias I, off W Sumatra. Apparently also in C Sulawesi, Peleng I, and New Guinea because these specimens are similar to this speciesin size, although they were originally identified as the Flores Tube-nosed Bat (M. florium). These records are not mapped here.
Distribution. Tsushima Is (Japan); a specimen collected on Yakushima (Osumi Is) has been claimed to be this species, but most probably is the Ussuri Tube-nosed Bat (M. ussuriensis). in Vespertilionidae
Distribution. Tsushima Is (Japan); a specimen collected on Yakushima (Osumi Is) has been claimed to be this species, but most probably is the Ussuri Tube-nosed Bat (M. ussuriensis).
On following pages: 147 Pied Butterfly Bat (Glauconycteris superba); 148. Common Butterfly Bat (Glauconycteris argentata); 149. Bibundi Butterfly Bat (Glauconycteris egeria): 150. Abo Butterfly Bat (Glauconycteris poensis); 151. Striped Butterfly Bat (Glauconycteris alboguttata); 152. Beatrix's Butterfly Bat (Glauconycteris beatrix); 163. Curry's Butterfly Bat (Glauconycteris curryae); 154. Spotted Butterfly Bat (Glauconycteris humeralis): 155. Blackish Butterfly Bat (Glauconycteris atra); 156. Kenyan Butterfly Bat (Glauconycteris kenyacola); 157. Doria's False Serotine (Hesperoptenus doriae): 158. Tickell's False Serotine (Hesperoptenus tickell); 159. Blanford's False Serotine (Hesperoptenus blanford): 160. Large False Serotine (Hesperoptenus tomesi); 161. Gaskell's False Serotine (Hesperoptenus gaskell): 162. Great Evening Bat (/a io); 163. Harlequin Bat (Scotomanes ornatus); 164. Riippell's Broad-nosed Bat (Scoteanax rueppelli); 165. Northern Broadnosed Bat (Scotorepens sanborni); 166. Little Broad-nosed Bat (Scotorepens greyi); 167. Inland Broad-nosed Bat (Scotorepens balstoni); 168. Eastern Broad-nosed Bat (Scotorepens orion): 169. Silverhaired Bat (Lasionycteris noctivagans). in Vespertilionidae
On following pages: 147 Pied Butterfly Bat (Glauconycteris superba); 148. Common Butterfly Bat (Glauconycteris argentata); 149. Bibundi Butterfly Bat (Glauconycteris egeria): 150. Abo Butterfly Bat (Glauconycteris poensis); 151. Striped Butterfly Bat (Glauconycteris alboguttata); 152. Beatrix's Butterfly Bat (Glauconycteris beatrix); 163. Curry's Butterfly Bat (Glauconycteris curryae); 154. Spotted Butterfly Bat (Glauconycteris humeralis): 155. Blackish Butterfly Bat (Glauconycteris atra); 156. Kenyan Butterfly Bat (Glauconycteris kenyacola); 157. Doria's False Serotine (Hesperoptenus doriae): 158. Tickell's False Serotine (Hesperoptenus tickell); 159. Blanford's False Serotine (Hesperoptenus blanford): 160. Large False Serotine (Hesperoptenus tomesi); 161. Gaskell's False Serotine (Hesperoptenus gaskell): 162. Great Evening Bat (/a io); 163. Harlequin Bat (Scotomanes ornatus); 164. Riippell's Broad-nosed Bat (Scoteanax rueppelli); 165. Northern Broadnosed Bat (Scotorepens sanborni); 166. Little Broad-nosed Bat (Scotorepens greyi); 167. Inland Broad-nosed Bat (Scotorepens balstoni); 168. Eastern Broad-nosed Bat (Scotorepens orion): 169. Silverhaired Bat (Lasionycteris noctivagans).
Distribution. Presumably found across New Guinea (possibly widespread in N lowlands) and also on Raja Ampat Is (Waigeo and Salawati); distributional limits between this species and the Steadfast Tube-nosed Fruit Bat (FP. tenax) are uncertain, and thus distribution given here is tentative. in Pteropodidae
Distribution. Presumably found across New Guinea (possibly widespread in N lowlands) and also on Raja Ampat Is (Waigeo and Salawati); distributional limits between this species and the Steadfast Tube-nosed Fruit Bat (FP. tenax) are uncertain, and thus distribution given here is tentative.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.