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10,801 results for “data correction”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-01-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-01-11 (17:04:59.1120810Z) by Landsat 5, row 036, path 032. 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 LT50320362003011LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:56:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-01-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-01-27 (17:05:20.7670440Z) by Landsat 5, row 036, path 032. Cloud cover was 20 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 LT50320362003027LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:03:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-02-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-02-12 (17:05:40.9420310Z) by Landsat 5, row 036, path 032. 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 LT50320362003043LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:02:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-02-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-02-28 (17:06:07.4040630Z) by Landsat 5, row 036, path 032. 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 LT50320362003059LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:56:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-04-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-04-01 (17:06:55.9560380Z) by Landsat 5, row 036, path 032. 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 LT50320362003091LGS01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T07:14:05Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-05-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-05-19 (17:08:01.8840690Z) by Landsat 5, row 036, path 032. 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 LT50320362003139LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:03:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-06-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-06-04 (17:08:16.3810130Z) by Landsat 5, row 036, path 032. Cloud cover was 20 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 LT50320362003155LGS01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:03:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2006-05-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2006-05-14 (21:05:06.4530630Z) by Landsat 5, row 15, path 69. Cloud cover was 36.06 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 LT50690152006134PAC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T21:54:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-06-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-06-20 (17:08:38.2100250Z) by Landsat 5, row 036, path 032. 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 LT50320362003171LGS02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:06:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-07-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-07-06 (17:08:58.5790440Z) by Landsat 5, row 036, path 032. 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 LT50320362003187PAC03, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-19T08:42:44Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-07-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-07-22 (17:09:14.9160560Z) by Landsat 5, row 036, path 032. Cloud cover was 0.27 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 LT50320362003203PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:59:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-08-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-08-07 (17:09:32.5840500Z) by Landsat 5, row 036, path 032. Cloud cover was 1.44 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 LT50320362003219PAC03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:00:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-08-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-08-23 (17:09:50.1810810Z) by Landsat 5, row 036, path 032. Cloud cover was 2.28 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 LT50320362003235PAC03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:00:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-09-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-09-08 (17:10:06.6450310Z) by Landsat 5, row 036, path 032. 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 LT50320362003251PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:00:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-09-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-09-24 (17:10:20.7260190Z) by Landsat 5, row 036, path 032. Cloud cover was 0.02 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 LT50320362003267PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:09:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-10-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-10-10 (17:10:32.5660810Z) by Landsat 5, row 036, path 032. Cloud cover was 29.94 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 LT50320362003283PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:00:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-10-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-10-26 (17:10:44.4270250Z) by Landsat 5, row 036, path 032. 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 LT50320362003299PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:05:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-11-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-11-11 (17:10:53.3520880Z) by Landsat 5, row 036, path 032. Cloud cover was 2.97 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 LT50320362003315PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:02:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2006-08-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2006-08-02 (21:06:18.5430130Z) by Landsat 5, row 15, path 69. Cloud cover was 49.86 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 LT50690152006214PAC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-06-04T18:05:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2003-11-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2003-11-27 (17:11:11.8280810Z) by Landsat 5, row 036, path 032. Cloud cover was 21.29 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 LT50320362003331PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:03:42Z.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.