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.
20,966
datasets available to search
ShareScore release 0.7.1
Dataset results
20,966 results for “Landsat Enhanced Thematic Mapper”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-03-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-03-14 (18:12:26.6970060Z) by Landsat 5, row 037, path 040. Cloud cover was 38.32 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 LT50400372011073PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T23:45:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-03-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-03-30 (18:12:22.6750440Z) by Landsat 5, row 037, path 040. Cloud cover was 16.88 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 LT50400372011089PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T23:37:53Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-04-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-04-15 (18:12:17.6340440Z) by Landsat 5, row 037, path 040. 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 LT50400372011105PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T11:35:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-05-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-05-01 (18:12:10.8980940Z) by Landsat 5, row 037, path 040. Cloud cover was 0.01 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 LT50400372011121PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-30T13:09:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-06-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-06-02 (18:12:00.6300380Z) by Landsat 5, row 037, path 040. Cloud cover was 0.76 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 LT50400372011153PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:30:40Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-06-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-06-18 (18:11:51.6420060Z) by Landsat 5, row 037, path 040. Cloud cover was 3.33 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 LT50400372011169PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-16T13:36:05Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 2004-08-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 2004-08-27 (18:39:48.3710750Z) by Landsat 5, row 29, path 46. Cloud cover was 32.36 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 LT50460292004240PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-18T19:39:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-07-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-07-04 (18:11:45.5690190Z) by Landsat 5, row 037, path 040. Cloud cover was 7.26 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 LT50400372011185PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:30:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-07-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-07-20 (18:11:38.4730560Z) by Landsat 5, row 037, path 040. Cloud cover was 29.86 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 LT50400372011201PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-16T15:07:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-08-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-08-05 (18:11:28.6090500Z) by Landsat 5, row 037, path 040. Cloud cover was 16.07 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 LT50400372011217EDC00, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-02T18:01:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-08-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-08-21 (18:11:20.3430500Z) by Landsat 5, row 037, path 040. Cloud cover was 32.16 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 LT50400372011233PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T23:48:53Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-09-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-09-06 (18:11:10.3300940Z) by Landsat 5, row 037, path 040. Cloud cover was 46.64 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 LT50400372011249PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T23:48:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-09-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-09-22 (18:10:55.7440310Z) by Landsat 5, row 037, path 040. Cloud cover was 44.91 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 LT50400372011265PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T23:46:27Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-10-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-10-08 (18:10:37.0220500Z) by Landsat 5, row 037, path 040. 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 LT50400372011281PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-16T13:46:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2011-11-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2011-11-09 (18:10:10.4650380Z) by Landsat 5, row 037, path 040. Cloud cover was 0.06 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 LT50400372011313PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T07:51:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1983-01-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1983-01-25 (16:27:49.1960500Z) by Landsat 4, row 28, path 27. Cloud cover was 30 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 LT40270281983025XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T22:52:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER collected on 2004-09-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Andrews Forest LTER, originally collected on 2004-09-28 (18:40:34.9180880Z) by Landsat 5, row 29, path 46. Cloud cover was 10.15 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 LT50460292004272PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-21T02:52:05Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1984-03-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1984-03-16 (16:22:47.5330940Z) by Landsat 5, row 28, path 27. 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 LT50270281984076XXX14, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T22:57:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1984-06-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1984-06-12 (16:26:53.0240440Z) by Landsat 5, row 28, path 27. Cloud cover was 30 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 LT50270281984164AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T22:46:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER collected on 1984-06-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Cedar Creek LTER, originally collected on 1984-06-28 (16:27:06.2430940Z) by Landsat 5, row 28, path 27. 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 LT50270281984180XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-09T00:38:23Z.
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.