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.
1,977
datasets available to search
ShareScore release 0.7.1
Dataset results
1,977 results for “2007”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-06-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-06-29 (17:37:16.5440060Z) by Landsat 5, row 032, path 034. Cloud cover was 7.65 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 LT50340322007180PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T13:15:37Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-07-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-07-15 (17:37:08.9930940Z) by Landsat 5, row 032, path 034. Cloud cover was 7.53 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 LT50340322007196PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T05:14:47Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-07-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-07-31 (17:36:59.7470130Z) by Landsat 5, row 032, path 034. Cloud cover was 7.1 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 LT50340322007212PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T13:15:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-08-16
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-08-16 (17:36:49.2680250Z) by Landsat 5, row 032, path 034. Cloud cover was 3.4 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 LT50340322007228PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T06:00:41Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-09-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-09-01 (17:36:39.0890310Z) by Landsat 5, row 032, path 034. Cloud cover was 41.8 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 LT50340322007244PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T13:16:33Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-09-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-09-17 (17:36:33.0190500Z) by Landsat 5, row 032, path 034. Cloud cover was 50.44 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 LT50340322007260PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T13:15:27Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2007-10-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER, originally collected on 2007-10-03 (17:36:24.5060880Z) by Landsat 5, row 032, path 034. Cloud cover was 18.32 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 LT50340322007276PAC01, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-01T13:14:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-01-10
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-01-10 (15:21:33.4720380Z) by Landsat 5, row 030, path 012. Cloud cover was 32.78 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 LT50120302007010GNC02, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:51:54Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-02-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-02-11 (15:21:42.0360310Z) by Landsat 5, row 030, path 012. Cloud cover was 17.28 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 LT50120302007042GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:55:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-02-27
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-02-27 (15:21:42.4280440Z) by Landsat 5, row 030, path 012. Cloud cover was 34.79 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 LT50120302007058GNC02, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:59:31Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-03-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-03-31 (15:21:35.8020440Z) by Landsat 5, row 030, path 012. Cloud cover was 1.74 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 LT50120302007090GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:55:38Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-05-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-05-02 (15:21:21.3120130Z) by Landsat 5, row 030, path 012. Cloud cover was 34.85 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 LT50120302007122GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:55:49Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-06-19
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-06-19 (15:20:41.8860810Z) by Landsat 5, row 030, path 012. Cloud cover was 14.77 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 LT50120302007170GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:54:55Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-08-22
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-08-22 (15:19:59.3100130Z) by Landsat 5, row 030, path 012. Cloud cover was 28.98 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 LT50120302007234GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:54:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-09-07
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-09-07 (15:19:51.1920130Z) by Landsat 5, row 030, path 012. Cloud cover was 7.56 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 LT50120302007250GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:56:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2007-09-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER, originally collected on 2007-09-23 (15:19:44.2390000Z) by Landsat 5, row 030, path 012. 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 LT50120302007266GNC01, LPGS_12.1.0, USGS, Sioux Falls, 2012-09-20T01:56:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER collected on 2007-08-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Bonanza Creek LTER, originally collected on 2007-08-30 (21:00:00.3410250Z) by Landsat 5, row 15, path 68. 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 LT50680152007242GLC00, LPGS_12.0.2, USGS, Sioux Falls, 2012-05-23T02:19:46Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 2007-01-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 2007-01-12 (18:29:22.3090880Z) by Landsat 5, row 036, path 042. Cloud cover was 11.84 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 LT50420362007012PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-19T06:22:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 2007-02-13
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 2007-02-13 (18:29:30.0030310Z) by Landsat 5, row 036, path 042. Cloud cover was 34.76 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 LT50420362007044PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-09T00:35:14Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 2007-03-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 2007-03-01 (18:29:29.9050060Z) by Landsat 5, row 036, path 042. Cloud cover was 12.35 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 LT50420362007060PAC01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-19T06:24:09Z.
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.