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10,801 results for “data correction”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-09-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-09-11 (17:23:19.7170880Z) by Landsat 5, row 037, path 032. Cloud cover was 10.27 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 LT50320372010254EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:42:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-09-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-09-27 (17:23:13.3760250Z) by Landsat 5, row 037, path 032. 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 LT50320372010270EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T11:01:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2009-08-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2009-08-17 (21:08:32.8850000Z) by Landsat 5, row 15, path 70. Cloud cover was 30.03 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 LT50700152009229GLC00, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-05T20:37:33Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-10-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-10-13 (17:23:04.6690310Z) by Landsat 5, row 037, path 032. Cloud cover was 10.31 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 LT50320372010286EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:41:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-10-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-10-29 (17:22:54.8580810Z) by Landsat 5, row 037, path 032. Cloud cover was 0.13 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 LT50320372010302EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-07T07:06:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-11-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-11-14 (17:22:53.6900440Z) by Landsat 5, row 037, path 032. Cloud cover was 41.62 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 LT50320372010318EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:42:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-11-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-11-30 (17:22:55.0020060Z) by Landsat 5, row 037, path 032. Cloud cover was 1.35 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 LT50320372010334EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:43:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2010-12-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2010-12-16 (17:22:57.8720690Z) by Landsat 5, row 037, path 032. Cloud cover was 41.66 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 LT50320372010350EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T11:01:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-01-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-01-01 (17:23:01.5900560Z) by Landsat 5, row 037, path 032. Cloud cover was 19.05 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 LT50320372011001EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:43:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-01-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-01-17 (17:23:02.5250500Z) by Landsat 5, row 037, path 032. Cloud cover was 9.07 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 LT50320372011017EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:44:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-02-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-02-18 (17:23:04.7200000Z) by Landsat 5, row 037, path 032. Cloud cover was 11.85 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 LT50320372011049EDC00, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:48:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-03-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-03-06 (17:23:02.7530940Z) by Landsat 5, row 037, path 032. Cloud cover was 26.62 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 LT50320372011065PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:43:27Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-03-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-03-22 (17:22:56.1620560Z) by Landsat 5, row 037, path 032. Cloud cover was 4.38 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 LT50320372011081PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T05:48:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2009-09-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2009-09-02 (21:08:47.6050310Z) by Landsat 5, row 15, path 70. Cloud cover was 32.61 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 LT50700152009245GLC00, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-05T20:39:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-04-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-04-07 (17:22:54.7080750Z) by Landsat 5, row 037, path 032. Cloud cover was 6.13 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 LT50320372011097PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:58:31Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-04-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-04-23 (17:22:46.8710750Z) by Landsat 5, row 037, path 032. Cloud cover was 8.63 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 LT50320372011113PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T11:17:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-05-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-05-09 (17:22:42.0710880Z) by Landsat 5, row 037, path 032. Cloud cover was 7.38 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 LT50320372011129PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:55:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-05-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-05-25 (17:22:37.4870060Z) by Landsat 5, row 037, 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 LT50320372011145PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T07:05:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-06-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-06-10 (17:22:29.2730250Z) by Landsat 5, row 037, 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 LT50320372011161PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-07T07:43:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2011-06-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2011-06-26 (17:22:21.9990250Z) by Landsat 5, row 037, path 032. Cloud cover was 0.21 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 LT50320372011177PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T11:19:31Z.
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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)
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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.