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DOI Details

Identifier:
10.13120/Z4SM-B176
Creators:
Daniela Fornasaro National Institute of Oceanography and Applied Geophysics
Titles:
Living and Quaternary mollusca collected along the coast of Libya (Tripolitania) in spring 1913
Publisher:
National Institute of Oceanography and Applied Geophysics
PublicationYear:
2021
ResourceType:
Samplingevent
Subjects:
Samplingevent
Contributors:
Marina Lipizer 0000-0001-5707-6338 National Institute of Oceanography and Applied Geophysics
Marina Lipizer 0000-0001-5707-6338 National Institute of Oceanography and Applied Geophysics
Marina Lipizer 0000-0001-5707-6338 National Institute of Oceanography and Applied Geophysics
Daniela Fornasaro National Institute of Oceanography and Applied Geophysics
Menashè Eliezer National Institute of Oceanography and Applied Geophysics
Dates:
2021-09-13
2022-07-20
1913-01-01/1913-03-31
Language:
eng
AlternateIdentifiers:
10.13120/z4sm-b176
https://nodc.ogs.it/ipt/resource?r=mollusca_in_mediterranean_sea_off_the_coasts_of_tunisia_and_western_libya_spring_1913
RelatedIdentifiers:
Sizes:
16 records
Formats:
Data as a Darwin Core Archive file
Metadata as an EML file
Metadata as an RTF file
Version:
2.0
RightsList:
Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License
Descriptions:
Samples of living and fossil mollusca were collected in spring 1913 during an exploration along the coast of Tripolitania (western Lybia). The campaign was promoted by the Commission of the Italian Ministry of Colonies. Mollusca collected in the Mediterranean Sea in spring 1913, in particular along the coasts from Homs to the Tunisian border and at Tripoli and Capo Misurata. The spatial coordinates are missing from the original historical paper and were completed indicatively based on the coordinates of the locality after converting to actual name.
GeoLocations:
http://marineregions.org/mrgid/1905 Mediterranean Sea, along the coasts from Homs to the Tunisian border, Tripoli and Capo Misurata. The original dataset has no coordinates. Coordinates are very approximated based on the location names. 10.369 23.95 32.067 42.729

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