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.
1,919
datasets available to search
ShareScore release 0.9.0
Dataset results
1,919 results for “1986”
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 1986-10-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, originally collected on 1986-10-18 (16:58:45.8240940Z) by Landsat 5, row 37, path 33. 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 LT50330371986291XXX13, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-18T06:22:21Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-01-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-01-03 (17:04:54.6380060Z) by Landsat 5, row 032, path 033. 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 LT50330321986003XXX04, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:43:30Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-04-25
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-04-25 (17:02:28.9440750Z) by Landsat 5, row 032, path 033. 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 LT50330321986115XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:45:04Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-05-11
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-05-11 (17:02:04.1320190Z) by Landsat 5, row 032, path 033. 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 LT50330321986131XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:52:03Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-06-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-06-12 (17:01:07.8850880Z) by Landsat 5, row 032, path 033. 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 LT50330321986163XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:42:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-06-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-06-28 (17:00:36.9450940Z) by Landsat 5, row 032, path 033. 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 LT50330321986179XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:42:28Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-07-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-07-14 (17:00:04.6940630Z) by Landsat 5, row 032, path 033. 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 LT50330321986195XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:44:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-07-30
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-07-30 (16:59:31.0120190Z) by Landsat 5, row 032, path 033. 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 LT50330321986211XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:47:26Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-08-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-08-15 (16:58:55.8770810Z) by Landsat 5, row 032, path 033. 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 LT50330321986227XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:43:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-08-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-08-31 (16:58:19.2840380Z) by Landsat 5, row 032, path 033. 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 LT50330321986243XXX08, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:45:09Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-10-02
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-10-02 (16:57:18.2450500Z) by Landsat 5, row 032, path 033. 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 LT50330321986275XXX05, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:39:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-10-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-10-18 (16:56:46.4570940Z) by Landsat 5, row 032, path 033. 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 LT50330321986291XXX09, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:42:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-11-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-11-03 (16:56:12.3280130Z) by Landsat 5, row 032, path 033. 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 LT50330321986307XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T09:45:42Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe collected on 1986-12-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Shortgrass Steppe, originally collected on 1986-12-21 (16:56:17.3160190Z) by Landsat 5, row 032, path 033. 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 LT50330321986355XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:32:27Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-01-30
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-01-30 (15:07:42.9710880Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 30 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986030XXX05, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-17T15:40:41Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-02-15
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-02-15 (15:07:20.6770190Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 20 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986046XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T05:24:16Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-04-20
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-04-20 (15:05:58.2980750Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 0 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986110XXX04, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T07:49:29Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-05-06
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-05-06 (15:05:34.2660190Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 0 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986126XXX09, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-17T15:37:10Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-07-25
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-07-25 (15:03:03.8140940Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 23.39 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986206PAC04, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T05:03:21Z.
Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 1986-08-10
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 1986-08-10 (15:02:29.2530810Z). Data were collected by Landsat 5, row 034, path 014. Cloud cover was 41.49 percent. These are reference data from the USGS EROS archive, not data generated by Virginia Coast Reserve LTER. This product was created by the U.S. Geological Survey (USGS) and contains Landsat data files in Geographic Tagged Image-File Format (GeoTIFF). NASA Landsat Program, 2009, Landsat TM LT50140341986222PAC04, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-22T05:01:56Z.
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.