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.
1,977
datasets available to search
ShareScore release 0.7.1
Dataset results
1,977 results for “2007”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2007-08-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 2007-08-18 (15:49:32.1590000Z) by Landsat 5, row 042, path 016. Cloud cover was 32.39 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 LT50160422007230GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:18:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2007-09-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 2007-09-03 (15:49:22.7180190Z) by Landsat 5, row 042, path 016. Cloud cover was 10.04 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 LT50160422007246GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:32:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2007-09-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 2007-09-19 (15:49:16.2180810Z) by Landsat 5, row 042, path 016. Cloud cover was 49.98 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 LT50160422007262GNC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:21:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 2007-10-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 2007-10-05 (15:49:07.2430060Z) by Landsat 5, row 042, path 016. Cloud cover was 13.12 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 LT50160422007278GNC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T21:22:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-01-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-01-29 (15:55:44.9230810Z) by Landsat 5, row 038, path 017. Cloud cover was 0.08 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 LT50170382007029GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:26:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-03-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-03-18 (15:55:44.3110690Z) by Landsat 5, row 038, path 017. Cloud cover was 0.07 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 LT50170382007077GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:27:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-04-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-04-03 (15:55:39.5150810Z) by Landsat 5, row 038, path 017. Cloud cover was 18.36 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 LT50170382007093GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:27:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-04-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-04-19 (15:55:33.1310940Z) by Landsat 5, row 038, path 017. Cloud cover was 5.6 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 LT50170382007109GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:28:40Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-05-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-05-21 (15:55:14.2840690Z) by Landsat 5, row 038, path 017. 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 LT50170382007141GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T10:17:11Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-06-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-06-22 (15:54:43.2790690Z) by Landsat 5, row 038, path 017. Cloud cover was 3.14 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 LT50170382007173GNC02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:27:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-08-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-08-09 (15:54:13.2030000Z) by Landsat 5, row 038, path 017. Cloud cover was 2.83 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 LT50170382007221GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:27:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-09-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-09-10 (15:53:55.3450810Z) by Landsat 5, row 038, path 017. Cloud cover was 12.89 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 LT50170382007253GNC02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:26:40Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 2007-09-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 2007-09-26 (15:53:47.8330810Z) by Landsat 5, row 038, path 017. Cloud cover was 23.21 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 LT50170382007269GNC01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T19:28:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-04-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-04-23 (15:27:12.8010310Z) by Landsat 5, row 29, path 13. Cloud cover was 0.08 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 LT50130292007113GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:29:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-05-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-05-25 (15:26:52.6310000Z) by Landsat 5, row 29, path 13. Cloud cover was 2.67 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 LT50130292007145GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:32:23Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-06-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-06-26 (15:26:20.4710060Z) by Landsat 5, row 29, path 13. Cloud cover was 2.89 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 LT50130292007177GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:33:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-07-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-07-12 (15:26:11.7300060Z) by Landsat 5, row 29, path 13. Cloud cover was 13.75 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 LT50130292007193GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:37:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-08-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-08-13 (15:25:52.2640500Z) by Landsat 5, row 29, path 13. Cloud cover was 33.58 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 LT50130292007225GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-21T01:02:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-08-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-08-29 (15:25:40.9560250Z) 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 LT50130292007241GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-17T12:20:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 2007-09-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 2007-09-14 (15:25:35.1820130Z) by Landsat 5, row 29, path 13. Cloud cover was 15.53 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 LT50130292007257GNC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:38:10Z.
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.