Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

1,441

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

1,441 results for “North Temperate Lakes - LTER”

Learn how ShareScore rates datasets ↗
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2009-10-09

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2009-10-09 (16:36:18.7280880Z) by Landsat 5, row 028, path 025. Cloud cover was 46.9 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282009282PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:45:32Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2009-11-10

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2009-11-10 (16:36:35.0730380Z) by Landsat 5, row 028, path 025. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282009314PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:15Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-03-02

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-03-02 (16:37:12.2690440Z) by Landsat 5, row 028, path 025. Cloud cover was 34.09 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010061PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:25Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-03-18

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-03-18 (16:37:12.5630060Z) by Landsat 5, row 028, path 025. Cloud cover was 1.62 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010077PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:40:39Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-04-19

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-04-19 (16:37:08.1960000Z) by Landsat 5, row 028, path 025. Cloud cover was 13.19 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010109PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:40:53Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-06-22

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-06-22 (16:36:51.7850630Z) by Landsat 5, row 028, path 025. Cloud cover was 36.93 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010173PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:44:59Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-07-08

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-07-08 (16:36:47.6220500Z) by Landsat 5, row 028, path 025. Cloud cover was 7.01 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010189PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:25Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-08-09

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-08-09 (16:36:36.8020940Z) by Landsat 5, row 028, path 025. Cloud cover was 10.32 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010221EDC00, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T06:42:25Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-08-25

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-08-25 (16:36:33.3330560Z) by Landsat 5, row 028, path 025. Cloud cover was 41.79 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010237PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:01Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-09-10

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-09-10 (16:36:29.5310630Z) by Landsat 5, row 028, path 025. Cloud cover was 4.46 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010253PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:41:04Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-09-26

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-09-26 (16:36:23.3810440Z) by Landsat 5, row 028, path 025. Cloud cover was 0.03 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010269EDC00, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:07Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-10-12

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-10-12 (16:36:14.6660810Z) by Landsat 5, row 028, path 025. Cloud cover was 0.09 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010285EDC00, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:53Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2010-12-15

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2010-12-15 (16:36:06.9520380Z) by Landsat 5, row 028, path 025. Cloud cover was 22.77 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282010349EDC00, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:17Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-04-06

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-04-06 (16:36:04.4740000Z) by Landsat 5, row 028, path 025. Cloud cover was 34.98 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011096PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:47Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-05-08

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-05-08 (16:35:51.8040310Z) by Landsat 5, row 028, path 025. Cloud cover was 13.98 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011128PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:14Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-05-24

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-05-24 (16:35:47.3170250Z) by Landsat 5, row 028, path 025. Cloud cover was 32.18 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011144PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:11Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-06-09

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-06-09 (16:35:39.2060560Z) by Landsat 5, row 028, path 025. Cloud cover was 42.91 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011160PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:43:25Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-06-25

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-06-25 (16:35:31.7450500Z) by Landsat 5, row 028, path 025. Cloud cover was 9.52 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011176PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:42:43Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-07-11

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-07-11 (16:35:25.6710190Z) by Landsat 5, row 028, path 025. Cloud cover was 3.98 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011192PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T11:40:52Z.

openOpenJan 2020View details →
edi36/100

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER collected on 2011-08-28

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for North Temperate Lakes LTER, originally collected on 2011-08-28 (16:34:59.3730380Z) by Landsat 5, row 028, path 025. Cloud cover was 11.17 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT50250282011240PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T07:01:38Z.

openOpenJan 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record