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736 results for “Biological collections”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1993-08-30
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 1993-08-30 (15:45:06.3230060Z) 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 LT50210311993242XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:35:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-01-05
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 1994-01-05 (15:44:16.4670000Z) 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 LT50210311994005XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:37:19Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-01-21
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 1994-01-21 (15:44:00.7270250Z) by Landsat 5, row 31, path 21. 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 LT50210311994021XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:37:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-02-06
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 1994-02-06 (15:43:52.9280380Z) 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 LT50210311994037AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:41:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-03-10
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 1994-03-10 (15:43:24.7980000Z) 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 LT50210311994069AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:35:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-04-27
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 1994-04-27 (15:42:34.9650880Z) 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 LT50210311994117XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:48Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-05-13
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 1994-05-13 (15:42:16.1590880Z) 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 LT50210311994133XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:37:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-05-29
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 1994-05-29 (15:41:59.7200940Z) 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 LT50210311994149AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:35:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-06-30
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 1994-06-30 (15:41:17.8420560Z) 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 LT50210311994181AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-07-16
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 1994-07-16 (15:40:51.3470440Z) 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 LT50210311994197XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:20Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-08-01
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 1994-08-01 (15:40:23.5230880Z) by Landsat 5, row 31, path 21. 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 LT50210311994213XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:19Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-08-17
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 1994-08-17 (15:40:00.0070380Z) 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 LT50210311994229AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:51Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-09-02
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 1994-09-02 (15:39:36.2090880Z) 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 LT50210311994245XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-09-18
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 1994-09-18 (15:39:10.8760250Z) 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 LT50210311994261XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:37:07Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-10-04
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 1994-10-04 (15:38:43.8050560Z) by Landsat 5, row 31, path 21. 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 LT50210311994277XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:34Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-10-20
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 1994-10-20 (15:38:13.4690190Z) 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 LT50210311994293XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:37:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1994-11-21
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 1994-11-21 (15:37:06.0560750Z) 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 LT50210311994325XXX02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:27Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1995-01-08
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 1995-01-08 (15:35:32.8260880Z) 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 LT50210311995008AAA02, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:40:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1995-03-13
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 1995-03-13 (15:33:02.4850380Z) 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 LT50210311995072XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:36:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Kellogg Biological Station LTER collected on 1995-04-14
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 1995-04-14 (15:31:42.2520130Z) 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 LT50210311995104XXX03, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T07:55:35Z.
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.