Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,455
datasets available to search
ShareScore release 0.7.1
Dataset results
1,455 results for “Coastal ecosystems”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-08-10
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 1996-08-10 (15:16:35.1190190Z) by Landsat 5, row 038, path 017. 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 LT50170381996223XXX01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:25:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-09-27
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 1996-09-27 (15:19:11.2990630Z) by Landsat 5, row 038, path 017. 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 LT50170381996271AAA02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:22:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-10-13
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 1996-10-13 (15:20:01.3070060Z) 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 LT50170381996287AAA01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:38:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-10-29
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 1996-10-29 (15:20:49.1410500Z) 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 LT50170381996303AAA01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:27:40Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-11-14
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 1996-11-14 (15:21:34.2050500Z) 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 LT50170381996319XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:26:25Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-11-30
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 1996-11-30 (15:22:19.7770500Z) by Landsat 5, row 038, path 017. 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 LT50170381996335XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:27:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1996-12-16
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 1996-12-16 (15:23:04.9350440Z) 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 LT50170381996351XXX01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:25:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-01-17
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 1997-01-17 (15:24:35.6560130Z) 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 LT50170381997017XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:25:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-02-18
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 1997-02-18 (15:25:59.8640000Z) 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 LT50170381997049XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:35:28Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-03-06
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 1997-03-06 (15:26:38.9100500Z) 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 LT50170381997065AAA00, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:27:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-03-22
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 1997-03-22 (15:27:15.9400310Z) 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 LT50170381997081AAA02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:22:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-04-07
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 1997-04-07 (15:27:50.8800190Z) by Landsat 5, row 038, path 017. 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 LT50170381997097XXX02, LPGS_12.1.0, USGS, Sioux Falls, 2012-08-31T19:29:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-05-09
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 1997-05-09 (15:28:57.7120380Z) 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 LT50170381997129XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:24:32Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-06-10
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 1997-06-10 (15:30:04.9370310Z) 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 LT50170381997161XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:29:59Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-06-26
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 1997-06-26 (15:30:38.3150880Z) by Landsat 5, row 038, path 017. 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 LT50170381997177AAA02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:46:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-07-28
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 1997-07-28 (15:31:43.4060440Z) 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 LT50170381997209AAA02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:37:10Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-08-13
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 1997-08-13 (15:32:14.2470560Z) by Landsat 5, row 038, path 017. 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 LT50170381997225XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:29:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-08-29
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 1997-08-29 (15:32:43.5990000Z) 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 LT50170381997241XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:45:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-09-14
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 1997-09-14 (15:33:10.7980880Z) 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 LT50170381997257XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:47:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Georgia Coastal Ecosystems LTER collected on 1997-09-30
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 1997-09-30 (15:33:38.9530880Z) 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 LT50170381997273XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-20T18:44:53Z.
ScienceDex guides
Understand access before you commit
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.