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1,977 results for “2007”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-05-26
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 2007-05-26 (17:51:48.1780940Z) by Landsat 5, row 36, path 36. 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 LT50360362007146PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T04:10:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-06-27
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 2007-06-27 (17:51:15.1270880Z) by Landsat 5, row 36, path 36. Cloud cover was 5.88 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 LT50360362007178PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T05:32:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-07-13
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 2007-07-13 (17:51:07.1360190Z) by Landsat 5, row 36, path 36. Cloud cover was 0.9 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 LT50360362007194PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T05:32:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-07-29
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 2007-07-29 (17:50:58.0200190Z) by Landsat 5, row 36, path 36. Cloud cover was 17.06 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 LT50360362007210PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T05:33:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-08-14
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 2007-08-14 (17:50:47.6960690Z) by Landsat 5, row 36, path 36. Cloud cover was 0.42 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 LT50360362007226PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T04:10:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-08-30
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 2007-08-30 (17:50:36.6250750Z) by Landsat 5, row 36, path 36. Cloud cover was 0.85 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 LT50360362007242PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T04:13:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-09-15
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 2007-09-15 (17:50:31.0070440Z) by Landsat 5, row 36, path 36. Cloud cover was 24.97 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 LT50360362007258PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T05:33:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-01-02
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 2007-01-02 (17:52:37.3190500Z) by Landsat 5, row 37, path 36. Cloud cover was 24.79 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 LT50360372007002PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:07:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-02-03
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 2007-02-03 (17:52:47.7650560Z) by Landsat 5, row 37, path 36. Cloud cover was 0.53 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 LT50360372007034PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:08:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-04-08
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 2007-04-08 (17:52:39.4580060Z) by Landsat 5, row 37, path 36. Cloud cover was 19.96 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 LT50360372007098PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:10:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-04-24
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 2007-04-24 (17:52:32.4790380Z) by Landsat 5, row 37, path 36. Cloud cover was 5.15 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 LT50360372007114PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:08:34Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-05-26
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 2007-05-26 (17:52:12.0090380Z) by Landsat 5, row 37, path 36. Cloud cover was 0.05 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 LT50360372007146PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:05:43Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-06-27
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 2007-06-27 (17:51:38.9580250Z) by Landsat 5, row 37, path 36. Cloud cover was 0.4 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 LT50360372007178PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:08:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-07-13
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 2007-07-13 (17:51:30.9660630Z) by Landsat 5, row 37, path 36. Cloud cover was 3 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 LT50360372007194PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:08:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-07-29
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 2007-07-29 (17:51:21.8500630Z) by Landsat 5, row 37, path 36. Cloud cover was 15.62 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 LT50360372007210PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:04:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-08-14
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 2007-08-14 (17:51:11.6690810Z) by Landsat 5, row 37, path 36. Cloud cover was 0.1 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 LT50360372007226PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:06:05Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-08-30
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 2007-08-30 (17:51:00.4560190Z) by Landsat 5, row 37, path 36. Cloud cover was 0.09 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 LT50360372007242PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T05:06:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2007-09-15
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 2007-09-15 (17:50:54.9800560Z) by Landsat 5, row 37, path 36. Cloud cover was 0.59 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 LT50360372007258PAC01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-21T06:09:53Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2007-01-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2007-01-14 (18:17:25.3800880Z) by Landsat 5, row 037, path 040. Cloud cover was 0.54 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 LT50400372007014PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T21:59:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2007-02-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2007-02-15 (18:17:32.4640690Z) by Landsat 5, row 037, path 040. Cloud cover was 0.01 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 LT50400372007046PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:00:11Z.
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.