Description
The dataset relating to the collection of Teredo bartschi Clapp, 1923 specimens preserved at the CNR ISMAR in Venice is reported. This dataset is part of Activity WP6.6 “National network of the aquatic science collections” of the project funded by EU - Next Generation EU Mission 4 “Education and Research” - Component 2: “From research to business” - Investment 3.1: “Fund for the realisation of an integrated system of research and innovation infrastructures” - Project IR0000032 – ITINERIS - Italian Integrated Environmental Research Infrastructures System - CUP B53C22002150006.
Data Records
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 55 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Guarneri I, Tagliapietra D (2024). Teredo bartschi collection from CNR ISMAR of Venice. Version 1.0. Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine. Occurrence dataset. https://cloud.gbif.org/eca/resource?r=xloveu&v=1.0
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 2efb7735-2564-4b7b-ae6e-477578ee72ef. Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.
Keywords
Occurrence; Teredo bartschi; Adriatic Sea; Western Mediterranean Sea
Contacts
- Originator ●
- Point Of Contact
- Technologist
- Originator
- Researcher
- Point Of Contact
- Technician
- User
- Technologist
Geographic Coverage
Adriatic Sea and Western Mediterranean Sea
Bounding Coordinates | South West [39.903, 8.466], North East [45.437, 15.35] |
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Taxonomic Coverage
No Description available
Kingdom | Animalia |
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Phylum | Mollusca |
Class | Bivalvia |
Order | Myida |
Family | Teredinidae |
Temporal Coverage
Start Date / End Date | 2016-11-11 / 2016-11-25 |
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Project Data
No Description available
Title | XiLAG |
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Funding | Self-financing project organized on voluntary basis and set up by Davide Tagliapietra. |
Sampling Methods
The EN275 procedure has been followed but the duration of rack stasis was 5 months.
Study Extent | The specimens were extracted from wood samples that were kept immersed in sea water for 5 months and then collected. Samples were collected in November 2016 in 3 different sites by as many collaborators. The collection locations are the Mistras Pond (Paolo Magni, 2016/07/22 - 2016/11/11), the Venetian Arsenal (Davide Tagliapietra, 2016/07/29 - 2016/11/25) and the Varano Lagoon (Raffaele D'Adamo, 2016/07/28 - 2016/11/22). |
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Method step description:
- Wood collectors consist of a plastic rack containing 3 blocks of pine wood (Pinus sylvestris). The dimensions of the single block are 20 cm x 7.5 cm, and all come from a single wooden board. Collectors were kept immersed for 5 months at a depth of 1 meter. Once extracted from the sea water the samples were collected and shipped to CNR ISMAR in Venice. Once they arrived in Venice the specimens were extracted and subsequently identified on classical taxonomy (morphological) basis.
Collection Data
Collection Name | Collezione Xilofagi - XLoVEU |
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Specimen preservation methods | Alcohol |
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Additional Metadata
Alternative Identifiers | https://cloud.gbif.org/eca/resource?r=xloveu |
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