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2,739 results for “arizona”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-01-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-01-20 (17:01:05.7920690Z) by Landsat 5, row 36, path 36. 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 LT50360361996020XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:27:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-02-05
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-02-05 (17:02:12.7400690Z) by Landsat 5, row 36, path 36. 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 LT50360361996036AAA01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:26:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-02-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-02-21 (17:03:18.2390750Z) by Landsat 5, row 36, path 36. 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 LT50360361996052AAA01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:26:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-03-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-03-08 (17:04:22.0590440Z) by Landsat 5, row 36, path 36. 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 LT50360361996068XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:27:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-03-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-03-24 (17:05:24.2340500Z) by Landsat 5, row 36, path 36. 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 LT50360361996084XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:25:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-04-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-04-09 (17:06:24.1640190Z) by Landsat 5, row 36, path 36. 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 LT50360361996100XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:26:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-04-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-04-25 (17:07:22.3450250Z) by Landsat 5, row 36, path 36. 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 LT50360361996116XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:27:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-05-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-05-11 (17:08:18.6340250Z) by Landsat 5, row 36, path 36. 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 LT50360361996132XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:28:13Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-05-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-05-27 (17:09:13.1490380Z) by Landsat 5, row 36, path 36. 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 LT50360361996148XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:26:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-06-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-06-28 (17:10:57.3980130Z) by Landsat 5, row 36, path 36. 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 LT50360361996180XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:27:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-07-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-07-14 (17:11:47.5460880Z) by Landsat 5, row 36, path 36. 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 LT50360361996196AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:25:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-07-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-07-30 (17:12:38.9950690Z) by Landsat 5, row 36, path 36. 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 LT50360361996212AAA01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:30:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-08-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-08-15 (17:13:28.7110000Z) by Landsat 5, row 36, path 36. 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 LT50360361996228AAA00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:29:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-08-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-08-31 (17:14:21.0120940Z) by Landsat 5, row 36, path 36. 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 LT50360361996244XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:27:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-09-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-09-16 (17:15:13.8390500Z) by Landsat 5, row 36, path 36. 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 LT50360361996260XXX00, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:41:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-10-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-10-02 (17:16:05.1550630Z) by Landsat 5, row 36, path 36. 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 LT50360361996276XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:40:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-10-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-10-18 (17:16:54.7290880Z) by Landsat 5, row 36, path 36. 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 LT50360361996292XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:34:01Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-11-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-11-03 (17:17:41.6020190Z) by Landsat 5, row 36, path 36. 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 LT50360361996308XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:33:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1996-11-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1996-11-19 (17:18:25.8110000Z) by Landsat 5, row 36, path 36. 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 LT50360361996324AAA01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:33:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 1997-02-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 1997-02-07 (17:22:09.9070310Z) by Landsat 5, row 36, path 36. 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 LT50360361997038XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T08:32:55Z.
ScienceDex guides
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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)
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.