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.
21,179
datasets available to search
ShareScore release 0.9.0
Dataset results
21,179 results for “image enhancement”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-03-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-03-17 (15:22:21.9900810Z) by Landsat 5, row 29, path 13. Cloud cover was 47.49 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 LT50130292011076GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:39:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-06-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-06-21 (15:21:47.1620190Z) by Landsat 5, row 29, path 13. Cloud cover was 15.39 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 LT50130292011172GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-07-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-07-07 (15:21:41.1310690Z) by Landsat 5, row 29, path 13. Cloud cover was 15.69 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 LT50130292011188GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-20T04:34:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-07-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-07-23 (15:21:33.4460940Z) by Landsat 5, row 29, path 13. Cloud cover was 12.53 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 LT50130292011204GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-19T16:42:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-08-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-08-24 (15:21:15.5900940Z) by Landsat 5, row 29, path 13. Cloud cover was 41.71 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 LT50130292011236EDC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:40:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-09-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-09-25 (15:20:48.9200690Z) by Landsat 5, row 29, path 13. Cloud cover was 45.01 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 LT50130292011268GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:40:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2011-10-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2011-10-11 (15:20:32.2260310Z) by Landsat 5, row 29, path 13. 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 LT50130292011284GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1987-05-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1987-05-26 (14:51:54.1060810Z) by Landsat 4, row 30, path 13. Cloud cover was 40 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 LT40130301987146XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:48:33Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1989-08-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1989-08-03 (15:06:24.0580000Z) by Landsat 4, row 30, path 13. Cloud cover was 50 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 LT40130301989215XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-09T22:21:44Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1989-08-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1989-08-19 (15:06:21.8000190Z) by Landsat 4, row 30, path 13. Cloud cover was 40 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 LT40130301989231XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:49:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1992-04-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study, originally collected on 1992-04-11 (15:10:26.2920380Z) by Landsat 5, row 33, path 15. Cloud cover was 40 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 LT50150331992102AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T16:57:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1990-07-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1990-07-05 (15:02:31.1900690Z) by Landsat 4, row 30, path 13. Cloud cover was 50 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 LT40130301990186XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-09T23:25:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1990-07-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1990-07-21 (15:02:08.8990440Z) by Landsat 4, row 30, path 13. Cloud cover was 40 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 LT40130301990202XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:26:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-06-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-06-10 (15:01:07.2240500Z) by Landsat 5, row 30, path 13. 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 LT50130301984162XXX08, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-09-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-09-30 (15:03:00.6750750Z) by Landsat 5, row 30, path 13. Cloud cover was 16.06 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 LT50130301984274PAC08, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-09T02:02:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-10-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-10-16 (15:02:58.1090500Z) by Landsat 5, row 30, path 13. Cloud cover was 5.14 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 LT50130301984290PAC16, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-09T01:59:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1984-11-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1984-11-01 (15:02:52.1720380Z) by Landsat 5, row 30, path 13. Cloud cover was 50 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 LT50130301984306XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-03-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-03-25 (15:03:17.5190630Z) by Landsat 5, row 30, path 13. 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 LT50130301985084XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:43:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-04-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-04-10 (15:03:13.3170810Z) by Landsat 5, row 30, path 13. 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 LT50130301985100XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1985-04-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1985-04-26 (15:03:06.9900560Z) by Landsat 5, row 30, path 13. Cloud cover was 8.61 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 LT50130301985116PAC02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:40:37Z.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.