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1,337 results for “antarctica”
McMurdo Dry Valleys site, station Commonwealth Glacier in Taylor Valley, Antarctica, study of sulfur from sulfate in snow deposition in units of milligramsPerLiter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from McMurdo Dry Valleys (MCM) contains sulfur from sulfate in snow deposition measurements in milligramsPerLiter units and were aggregated to a yearly timescale.
McMurdo Sound, Antarctica: Cape Armitage, sponge abundance and cover and photo ID information for 1968 and 2010
In 2010 we had the opportunity to revisit historical transects and experiments set up by Dayton et al. in the 1960s, 70s, and 80s. Using the SCINI ROV we were able to revisit sites we had dived previously, including some deeper sites that are no longer diveable by current United States Antarctic Program policies. Revisiting these sites enabled us to study and document long-term changes in benthic biota at McMurdo Sound, Antarctica. These are data on sponge abundance and percent cover collected in 1968 and 2010. We are making these data available to researchers for future observations of community change in the nearly pristine environment of the Ross Sea, Antarctica.
McMurdo Sound, Antarctica: Benthic macrofaunal abundances in Explorers Cove in 1970s and 2010 and in Salmon Bay in 1988-89 and 2010
In 2010 we had the opportunity to revisit historical transects and experiments set up by Dayton et al. in the 1960s, 70s, and 80s. Using the SCINI ROV we were able to revisit sites we had dived previously, including some deeper sites that are no longer diveable by current United States Antarctic Program policies. Revisitng these sites enabled us to study and document long-term changes in benthic biota at McMurdo Sound, Antarctica. These are data on benthic macrofaunal abundance collected in the 1970s, late 1980s, and 2010. We are making these data available to researchers for future observations of community change in the nearly pristine environment of the Ross Sea, Antarctica.
McMurdo Dry Valleys Biological responses to landscape change in the McMurdo Dry Valleys, Antarctica
The McMurdo Dry Valleys, Antarctica, are experiencing rapid landscape scale change including increased glacial melt, the expansion of water tracks, thermokarst formation, an increase in the extent of the soil active layer, lake level rise, and altered stream flow. The impacts of these changes for biological communities are currently unknown. The goal of this study was to conduct surveys and experiments in three Dry Valley soil habitats that are expected to undergo change: water tracks, lake margins, and active layer profiles. Specifically, samples were collected from: 1) transects spanning dry-wet-dry soils in two water tracks in different lake basins, including three transects from each of three reaches for each water track, 2) experiments in which water and varying levels of salt were added to dry soils immediately adjacent to water tracks, 3) transects in lake margin soils in two different lake basins, including four transects perpendicular to each lake that span wet-to-dry soils, 4) experiments in which sterilized and non-sterilized lake water were added to dry soils adjacent to lakes, 5) the soil active layer from a total of eight soil pits in two different lake basins that were sampled at 5cm increments of depth, from the surface to 30cm or the permafrost, whichever was encountered first, and 6) experiments in which soils from the bottom of the soil active layer were moved to the upper layer and vice versa. Bacterial communities were sequenced for each sample and edaphic characteristics were measured for a subset of samples.
McMurdo Dry Valleys LTER: Phytoplankton water column profiles in Lake Bonney, Antarctica from 2004 to 2015
Lake Bonney (McMurdo Dry Valleys, east Antarctica) represents a year-round refugia for life adapted to extreme conditions. Lake level has risen by more than 3 m since 2004, but impacts of rapid lake level rise on phytoplankton community structure is also poorly understood. From 2004 to 2015, in concert with the summer limnological samplings, an in situ submersible spectrofluorometer (bbe FluoroProbe) was used to profile phytoplankton throughout the water columns of east and west lobes Lake Bonney to quantify the vertical structure of four functional algal groups (green algae, brown/mixed algae, cryptophytes, cyanobacteria). Our findings showed that phytoplankton communities were differentially impacted by physical and chemical factors over long-term vs. seasonal time scales. Following a summer of rapid lake level rise (2010-11), an increase in depth integrated chlorophyll a (chl-a) occurred in Lake Bonney caused by stimulation of photoautotrophic green algae. Collectively our data reveal that phytoplankton groups possessing variable trophic abilities are differentially competitive during seasonal and long-term time scales owing to periods of higher nutrients (photoautotrophs) vs. light/energy limitation (mixotrophs).
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1988-01-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1988-01-17 (12:33:22.2680630Z) by Landsat 4, row 105, path 218. 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 LT42181051988017XXX04, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:41:22Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1988-03-21
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1988-03-21 (12:35:33.4280690Z) by Landsat 4, row 105, path 218. 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 LT42181051988081XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-23T13:16:00Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1989-03-24
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1989-03-24 (12:42:31.9440500Z) by Landsat 4, row 105, path 218. 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 LT42181051989083XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:50Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1990-02-23
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1990-02-23 (12:41:51.0610250Z) by Landsat 4, row 105, path 218. 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 LT42181051990054XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1988-03-28
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1988-03-28 (12:41:57.2220940Z) by Landsat 4, row 105, path 219. 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 LT42191051988088XXX01, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:16Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1989-11-26
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1989-11-26 (12:48:59.1670250Z) by Landsat 4, row 105, path 219. 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 LT42191051989330XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:41:36Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1990-03-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1990-03-18 (12:47:41.7980690Z) by Landsat 4, row 105, path 219. 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 LT42191051990077XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:45Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1990-12-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1990-12-15 (12:41:09.1630690Z) by Landsat 4, row 105, path 219. 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 LT42191051990349XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-23T15:32:53Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1996-11-14
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1996-11-14 (12:30:30.5800250Z) by Landsat 5, row 105, path 218. 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 LT52181051996319AAA05, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:41:06Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1984-12-06
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1984-12-06 (12:45:55.7860250Z) by Landsat 5, row 105, path 219. 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 LT52191051984341XXX03, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:42:24Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1996-11-12
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, originally collected on 1996-11-12 (12:42:46.8230250Z) by Landsat 5, row 105, path 220. 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 LT52201051996317XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:42:19Z.
Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1988-01-17
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, on 1988-01-17 (12:33:22.2680630Z). Data were collected by Landsat 4, row 105, path 218. Cloud cover was 20 percent. These are reference data from the USGS EROS archive, not data generated by Palmer Antarctica 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 LT42181051988017XXX04, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:41:22Z.
Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1988-03-21
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, on 1988-03-21 (12:35:33.4280690Z). Data were collected by Landsat 4, row 105, path 218. Cloud cover was 10 percent. These are reference data from the USGS EROS archive, not data generated by Palmer Antarctica 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 LT42181051988081XXX01, LPGS_12.0.2, USGS, Sioux Falls, 2012-08-23T13:16:00Z.
Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1989-03-24
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, on 1989-03-24 (12:42:31.9440500Z). Data were collected by Landsat 4, row 105, path 218. Cloud cover was 40 percent. These are reference data from the USGS EROS archive, not data generated by Palmer Antarctica 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 LT42181051989083XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:50Z.
Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER collected on 1990-02-23
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Palmer Antarctica LTER, on 1990-02-23 (12:41:51.0610250Z). Data were collected by Landsat 4, row 105, path 218. Cloud cover was 50 percent. These are reference data from the USGS EROS archive, not data generated by Palmer Antarctica 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 LT42181051990054XXX02, LPGS_12.1.1, USGS, Sioux Falls, 2012-09-27T09:40:52Z.
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.