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10,801 results for “data correction”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-09-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-09-21 (17:17:58.8380810Z) by Landsat 5, row 037, path 032. Cloud cover was 10.95 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 LT50320372008265PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:35:08Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-10-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-10-07 (17:17:28.1340190Z) by Landsat 5, row 037, path 032. Cloud cover was 10.37 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 LT50320372008281PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:36:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-10-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-10-23 (17:16:55.2260060Z) by Landsat 5, row 037, path 032. Cloud cover was 0.16 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 LT50320372008297PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T06:49:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-11-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-11-08 (17:16:12.8540560Z) by Landsat 5, row 037, path 032. Cloud cover was 0.23 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 LT50320372008313PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:35:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-11-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-11-24 (17:16:41.6990310Z) by Landsat 5, row 037, path 032. Cloud cover was 1.05 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 LT50320372008329PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:35:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-12-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-12-10 (17:17:11.8280560Z) by Landsat 5, row 037, path 032. Cloud cover was 40.13 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 LT50320372008345PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T10:31:20Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-12-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2008-12-26 (17:17:39.9610750Z) by Landsat 5, row 037, path 032. Cloud cover was 48.76 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 LT50320372008361PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T11:00:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-01-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-01-11 (17:18:04.7860810Z) by Landsat 5, row 037, path 032. Cloud cover was 0.5 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 LT50320372009011PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-17T02:34:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-02-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-02-28 (17:19:18.7300000Z) by Landsat 5, row 037, path 032. Cloud cover was 0.17 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 LT50320372009059PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-02T18:20:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2009-04-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2009-04-11 (21:06:19.2940630Z) by Landsat 5, row 15, path 70. Cloud cover was 43.45 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 LT50700152009101GLC00, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-05T20:40:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-03-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-03-16 (17:19:40.6990630Z) by Landsat 5, row 037, 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 LT50320372009075PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-02T18:18:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-04-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-04-01 (17:20:01.5090440Z) by Landsat 5, row 037, path 032. Cloud cover was 38.49 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 LT50320372009091PAC02, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T05:30:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-04-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-04-17 (17:20:20.7370440Z) by Landsat 5, row 037, 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 LT50320372009107PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T07:05:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-05-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-05-03 (17:20:38.6420750Z) by Landsat 5, row 037, path 032. Cloud cover was 27.17 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 LT50320372009123PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-18T02:10:34Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-05-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-05-19 (17:20:57.1850250Z) by Landsat 5, row 037, path 032. Cloud cover was 3.74 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 LT50320372009139PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-27T08:49:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-06-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-06-04 (17:21:13.2110380Z) by Landsat 5, row 037, path 032. Cloud cover was 8.88 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 LT50320372009155PAC02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-29T22:33:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-06-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-06-20 (17:21:31.7130440Z) by Landsat 5, row 037, path 032. Cloud cover was 34.95 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 LT50320372009171PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-06T06:53:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-07-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-07-06 (17:21:48.5100000Z) by Landsat 5, row 037, path 032. Cloud cover was 9.87 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 LT50320372009187PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T08:24:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-08-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-08-07 (17:22:18.3290380Z) by Landsat 5, row 037, path 032. Cloud cover was 3.59 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 LT50320372009219PAC03, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-06T07:05:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2009-08-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 2009-08-23 (17:22:33.0510060Z) by Landsat 5, row 037, path 032. Cloud cover was 6.7 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 LT50320372009235PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-07T22:24:17Z.
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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.