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10,801 results for “data correction”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1992-09-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1992-09-25 (16:54:35.4430000Z) 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 LT50320361992269XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:04:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1992-10-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1992-10-11 (16:54:13.3950000Z) 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 LT50320361992285XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:03:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1992-10-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1992-10-27 (16:54:05.2130250Z) by Landsat 5, row 036, path 032. Cloud cover was 40 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 LT50320361992301XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:06:58Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1992-11-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1992-11-12 (16:53:45.3120000Z) 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 LT50320361992317XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T08:59:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1992-11-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1992-11-28 (16:53:48.8340060Z) 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 LT50320361992333XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T08:57:08Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-01-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-01-15 (16:54:20.7950000Z) 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 LT50320361993015XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:00:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-01-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-01-31 (16:54:31.4150190Z) 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 LT50320361993031XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:00:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 1998-05-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 1998-05-24 (20:50:36.4860310Z) by Landsat 5, row 15, path 69. 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 LT50690151998144XXX02, LPGS_11.6.0, USGS, Sioux Falls, 2012-03-05T17:28:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-03-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-03-04 (16:54:48.2430250Z) by Landsat 5, row 036, path 032. Cloud cover was 40 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 LT50320361993063XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:00:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-03-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-03-20 (16:54:52.8480690Z) 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 LT50320361993079XXX02, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-11T05:26:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-04-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-04-05 (16:54:57.8310630Z) 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 LT50320361993095XXX02, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T07:06:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-04-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-04-21 (16:55:06.6130690Z) 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 LT50320361993111XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:07:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-05-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-05-07 (16:55:09.8240810Z) 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 LT50320361993127XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:03:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-05-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-05-23 (16:55:12.8870190Z) 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 LT50320361993143XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:07:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-06-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-06-24 (16:55:10.1450630Z) 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 LT50320361993175XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:11:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-07-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-07-10 (16:55:06.9410750Z) by Landsat 5, row 036, path 032. Cloud cover was 10 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 LT50320361993191XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:07:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-07-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-07-26 (16:55:06.0540690Z) 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 LT50320361993207AAA03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:12:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-08-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-08-11 (16:55:06.6540380Z) 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 LT50320361993223XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-16T09:24:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 1999-07-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 1999-07-14 (20:50:44.4100560Z) by Landsat 5, row 15, path 69. 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 LT50690151999195XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-12T21:55:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1993-08-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1993-08-27 (16:55:04.7450130Z) 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 LT50320361993239XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-24T09:12:55Z.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.