Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ...
We used a Deep UV fluorescence mapping spectrometer, coupled to a drill system, to scan from the surface to 105 m depth into the Greenland ice sheet. The scan included firn and glacial ice and demonstrated that the instrument is able to determine small (mm) and large (cm) scale regions of organic ma...
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ftdatacite:10.48577/jpl.lrqpm9 2023-11-05T03:42:16+01:00 Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... Malaska, Michael 2023 https://dx.doi.org/10.48577/jpl.lrqpm9 https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.LRQPM9 unknown Root Dataset dataset 2023 ftdatacite https://doi.org/10.48577/jpl.lrqpm9 2023-10-09T10:57:04Z We used a Deep UV fluorescence mapping spectrometer, coupled to a drill system, to scan from the surface to 105 m depth into the Greenland ice sheet. The scan included firn and glacial ice and demonstrated that the instrument is able to determine small (mm) and large (cm) scale regions of organic matter concentration and discriminate spectral types of organic matter at high resolution. Both a linear point cloud scanning mode and a raster mapping mode were used to detect and localize microbial and organic matter “hotspots” embedded in the ice. Our instrument revealed diverse spectral signatures. Most hotspots were less than 20 mm in diameter, clearly isolated from other hotspots, and distributed stochastically; there was no evidence of layering in the ice at the fine scales examined (100 microns per pixel). The spectral signatures were consistent with organic matter fluorescence from microbes, lignins, fused-ring aromatic molecules, including polycyclic aromatic hydrocarbons, and biologically derived ... Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
We used a Deep UV fluorescence mapping spectrometer, coupled to a drill system, to scan from the surface to 105 m depth into the Greenland ice sheet. The scan included firn and glacial ice and demonstrated that the instrument is able to determine small (mm) and large (cm) scale regions of organic matter concentration and discriminate spectral types of organic matter at high resolution. Both a linear point cloud scanning mode and a raster mapping mode were used to detect and localize microbial and organic matter “hotspots” embedded in the ice. Our instrument revealed diverse spectral signatures. Most hotspots were less than 20 mm in diameter, clearly isolated from other hotspots, and distributed stochastically; there was no evidence of layering in the ice at the fine scales examined (100 microns per pixel). The spectral signatures were consistent with organic matter fluorescence from microbes, lignins, fused-ring aromatic molecules, including polycyclic aromatic hydrocarbons, and biologically derived ... |
format |
Dataset |
author |
Malaska, Michael |
spellingShingle |
Malaska, Michael Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
author_facet |
Malaska, Michael |
author_sort |
Malaska, Michael |
title |
Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
title_short |
Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
title_full |
Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
title_fullStr |
Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
title_full_unstemmed |
Subsurface in-situ detection of microbes and diverse organic matter hotspots in the Greenland ice sheet ... |
title_sort |
subsurface in-situ detection of microbes and diverse organic matter hotspots in the greenland ice sheet ... |
publisher |
Root |
publishDate |
2023 |
url |
https://dx.doi.org/10.48577/jpl.lrqpm9 https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.LRQPM9 |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_doi |
https://doi.org/10.48577/jpl.lrqpm9 |
_version_ |
1781699262993661952 |