Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA
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Format: | Dataset |
Language: | unknown |
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IRIS DMC
2021
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Online Access: | https://dx.doi.org/10.17611/dp/19515422 http://ds.iris.edu/spud/momenttensor/19515422 |
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ftdatacite:10.17611/dp/19515422 2023-05-15T17:15:02+02:00 Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA Global CMT Project 2021 https://dx.doi.org/10.17611/dp/19515422 http://ds.iris.edu/spud/momenttensor/19515422 unknown IRIS DMC Dataset dataset MT 2021 ftdatacite https://doi.org/10.17611/dp/19515422 2022-02-08T13:25:49Z Dataset New Siberian Islands DataCite Metadata Store (German National Library of Science and Technology) New Siberian Islands ENVELOPE(142.000,142.000,75.000,75.000) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
format |
Dataset |
author |
Global CMT Project |
spellingShingle |
Global CMT Project Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
author_facet |
Global CMT Project |
author_sort |
Global CMT Project |
title |
Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
title_short |
Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
title_full |
Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
title_fullStr |
Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
title_full_unstemmed |
Moment Tensor for July 31, 2021 MW 4.7 (GCMT) NEW SIBERIAN ISLANDS, RUSSIA |
title_sort |
moment tensor for july 31, 2021 mw 4.7 (gcmt) new siberian islands, russia |
publisher |
IRIS DMC |
publishDate |
2021 |
url |
https://dx.doi.org/10.17611/dp/19515422 http://ds.iris.edu/spud/momenttensor/19515422 |
long_lat |
ENVELOPE(142.000,142.000,75.000,75.000) |
geographic |
New Siberian Islands |
geographic_facet |
New Siberian Islands |
genre |
New Siberian Islands |
genre_facet |
New Siberian Islands |
op_doi |
https://doi.org/10.17611/dp/19515422 |
_version_ |
1766073188952834048 |