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1,919 results for “1986”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-06-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-06-28 (15:24:07.1780810Z) by Landsat 5, row 038, path 017. 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 LT50170381986179XXX04, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:27:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-07-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-07-14 (15:23:34.9480310Z) by Landsat 5, row 038, path 017. 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 LT50170381986195XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:24:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-07-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-07-30 (15:23:01.1310190Z) by Landsat 5, row 038, path 017. 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 LT50170381986211XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:25:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-09-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-09-16 (15:21:18.5480190Z) by Landsat 5, row 038, path 017. 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 LT50170381986259XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:24:18Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-10-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-10-02 (15:20:48.4180130Z) by Landsat 5, row 038, path 017. 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 LT50170381986275XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:24:19Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-10-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-10-18 (15:20:16.7850690Z) by Landsat 5, row 038, path 017. 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 LT50170381986291XXX04, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:33:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-11-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-11-03 (15:19:42.5220060Z) by Landsat 5, row 038, path 017. 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 LT50170381986307XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:28:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1986-12-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER, originally collected on 1986-12-21 (15:19:47.2760130Z) by Landsat 5, row 038, path 017. 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 LT50170381986355XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T17:26:40Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-01-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-01-23 (14:59:42.1120190Z) by Landsat 5, row 29, path 13. Cloud cover was 39.57 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 LT50130291986023PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:22:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-03-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-03-12 (14:58:37.5240690Z) by Landsat 5, row 29, path 13. Cloud cover was 46.95 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 LT50130291986071PAC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:39:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-03-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-03-28 (14:58:18.5470560Z) by Landsat 5, row 29, path 13. 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 LT50130291986087XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:23:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-04-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-04-29 (14:57:34.9270250Z) by Landsat 5, row 29, path 13. Cloud cover was 10.93 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 LT50130291986119PAC06, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:21:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-05-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-05-15 (14:57:09.5900630Z) by Landsat 5, row 29, path 13. 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 LT50130291986135XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:25:58Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-08-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-08-03 (14:54:34.3040630Z) by Landsat 5, row 29, path 13. 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 LT50130291986215XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:24:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-10-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-10-22 (14:51:50.1450190Z) by Landsat 5, row 29, path 13. 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 LT50130291986295XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-23T16:01:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER collected on 1986-11-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Hubbard Brook LTER, originally collected on 1986-11-07 (14:51:15.0530130Z) by Landsat 5, row 29, path 13. 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 LT50130291986311XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T02:22:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-01-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-01-07 (15:00:26.0190560Z) by Landsat 5, row 30, path 13. Cloud cover was 38.45 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 LT50130301986007PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:43:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-01-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-01-23 (15:00:06.1030630Z) by Landsat 5, row 30, path 13. Cloud cover was 9.54 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 LT50130301986023PAC05, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:42:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-03-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-03-28 (14:58:42.6860000Z) by Landsat 5, row 30, path 13. 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 LT50130301986087XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:41:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER collected on 1986-04-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Harvard Forest LTER, originally collected on 1986-04-13 (14:58:21.8100690Z) by Landsat 5, row 30, path 13. 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 LT50130301986103AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-07-25T16:58:11Z.
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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.