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736 results for “Biological collections”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-04-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-04-13 (15:51:50.7340880Z) by Landsat 5, row 31, path 21. 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 LT50210311989103XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:20:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-07-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-07-02 (15:50:23.1920560Z) by Landsat 5, row 31, path 21. 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 LT50210311989183XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:22:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-08-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-08-19 (15:49:19.6510310Z) by Landsat 5, row 31, path 21. 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 LT50210311989231XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:26:34Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-09-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-09-04 (15:49:00.5980250Z) by Landsat 5, row 31, path 21. 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 LT50210311989247XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:19:35Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-09-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-09-20 (15:48:28.9140940Z) by Landsat 5, row 31, path 21. 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 LT50210311989263XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:21:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1989-10-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1989-10-22 (15:47:35.2430000Z) by Landsat 5, row 31, path 21. 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 LT50210311989295XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:21:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-04-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-04-16 (15:42:58.1960310Z) by Landsat 5, row 31, path 21. 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 LT50210311990106XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:27:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-05-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-05-02 (15:42:49.7770750Z) by Landsat 5, row 31, path 21. 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 LT50210311990122XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:19:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-05-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-05-18 (15:42:59.6390000Z) by Landsat 5, row 31, path 21. 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 LT50210311990138XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:19:39Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-06-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-06-03 (15:42:54.8100630Z) by Landsat 5, row 31, path 21. 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 LT50210311990154XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:21:19Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-06-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-06-19 (15:42:53.8960000Z) by Landsat 5, row 31, path 21. 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 LT50210311990170AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:22:08Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-10-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-10-25 (15:42:15.4980880Z) by Landsat 5, row 31, path 21. 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 LT50210311990298AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:19:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-11-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-11-10 (15:42:14.6700190Z) by Landsat 5, row 31, path 21. 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 LT50210311990314AAA03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:21:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1990-12-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1990-12-12 (15:42:04.4070810Z) by Landsat 5, row 31, path 21. 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 LT50210311990346XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:18:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-04-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-04-03 (15:44:23.5890310Z) by Landsat 5, row 31, path 21. 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 LT50210311991093XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:29:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-05-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-05-21 (15:45:17.0730250Z) by Landsat 5, row 31, path 21. 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 LT50210311991141XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:23:31Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-06-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-06-06 (15:45:31.7750810Z) by Landsat 5, row 31, path 21. 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 LT50210311991157XXX04, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:23:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-07-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-07-08 (15:45:56.9740440Z) by Landsat 5, row 31, path 21. 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 LT50210311991189XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:25:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-07-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-07-24 (15:46:10.8940000Z) by Landsat 5, row 31, path 21. 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 LT50210311991205XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:27:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1991-08-09
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER, originally collected on 1991-08-09 (15:46:15.4310630Z) by Landsat 5, row 31, path 21. 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 LT50210311991221XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:34:58Z.
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.