TunSea, 2023. Cryptogenic, Rare and Non-indigenous marine species in Tunisian coastline, recorded by Citizen Scientists

This dataset sourced from citizen scientists through the TunSea platform (TunSea), focusing on rare, cryptogenic and non-indigenous marine species along Tunisia#39;s coastline. Initial data, comprising images and comments, underwent careful verification for accuracy. The refined dataset consolidates information linked to each specific observation. This study contributes to understanding the presence and distribution of non-indigenous marine species along the coastline of Tunisia in the south of the Mediterranean Sea.

Default

IdentificationAbout this resource

Alternate Identifier

10.15468/guk2a6

Alternate Identifier
http://ipt.medobis.eu/resource?r=sahar
Publication Date
2024-10-30
Title

TunSea, 2023. Cryptogenic, Rare and Non-indigenous marine species in Tunisian coastline, recorded by Citizen Scientists

Abstract

This dataset sourced from citizen scientists through the TunSea platform (TunSea), focusing on rare, cryptogenic and non-indigenous marine species along Tunisia#39;s coastline. Initial data, comprising images and comments, underwent careful verification for accuracy. The refined dataset consolidates information linked to each specific observation. This study contributes to understanding the presence and distribution of non-indigenous marine species along the coastline of Tunisia in the south of the Mediterranean Sea.

Dataset Language

ENGLISH

 
Dataset Creator
Metadata Provider
Associated Party

CUSTODIAN_STEWARD
  HCMR-IMBBC - Dimitra Mavraki (Data manager)

Thalassocosmos, Former American Base

,

Heraklion

,

71003

,

GREECE

Associated Party

CUSTODIAN_STEWARD
  Hellenic Centre for Marine Research - Ioannis Rallis (Biologist)

Thalassocosmos, Former American Base

,

Heraklion

,

71003

,

GREECE

Associated Party

CUSTODIAN_STEWARD
  Hellenic Centre for Marine Research - Melina Loulakaki (IT)

Thalassocosmos, Former American Base

,

Heraklion

,

71003

,

GREECE

Dataset Contact
Keywords (none)

  • Citizen Science

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml)

  • Occurrence

Keywords (GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml)

  • Observation

Keywords (http://marineregions.org/mrgid/8366)

  • Tunisian Exclusive Economic Zone

Geographic Coverage

Geographic Description

Tunisian Exclusive Economic Zone (EEZ)

Bounding Box

West Bounding Coordinate

8.569

East Bounding Coordinate

15.117

North Bounding Coordinate

41.212

South Bounding Coordinate

32.843

Temporal Coverage

Range of Dates

Begin Date

2005-05-07

End Date

2023-08-29

Taxonomic Coverage

Taxonomic Classification

Taxonomic Rank Name

Phylum

Taxonomic Rank Value

Cnidaria

Taxonomic Classification

Taxonomic Rank Name

Phylum

Taxonomic Rank Value

Chordata

Taxonomic Classification

Taxonomic Rank Name

Kingdom

Taxonomic Rank Value

Plantae

Taxonomic Classification

Taxonomic Rank Name

Phylum

Taxonomic Rank Value

Mollusca

Taxonomic Classification

Taxonomic Rank Name

Phylum

Taxonomic Rank Value

Arthropoda

resourceLicensesLicense Information

Intellectual Rights

This work is licensed under a

Creative Commons Attribution (CC-BY) 4.0 License

.

Resource License

License Name

Creative Commons Attribution 4.0 International

URL
https://spdx.org/licenses/CC-BY-4.0.html
Identifier

CC-BY-4.0

 

Distribution

Online

URL
https://ipt.medobis.eu/archive.do?r=sahar
 

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp

2026-04-14T08:24:08Z

Citation

Chebaane S (2024). TunSea, 2023. Cryptogenic, Rare and Non-indigenous marine species in Tunisian coastline, recorded by Citizen Scientists. Hellenic Center for Marine Research. Sampling event dataset https://doi.org/10.15468/guk2a6 accessed via GBIF.org on 2026-04-14.

Logo URL
http://192.135.166.161/logo.do?r=sahar
 

Methods

• Method

Method Step

Description

Initial data, comprising images and comments, underwent careful verification for accuracy by TunSea. The refined dataset consolidates information linked to each specific observation.

Sampling

Study Extent

This dataset sourced from Citizen Scientists through TunSea platform, focusing on rare, cryptogenic and non-indigenous marine species along Tunisia's coastline.

Sampling Description

Citizen Science Observation.

qualityControl

Description

To ensure data quality, online tools such as the World Register of Marine Species (WoRMS) taxon match tool ( https://www.marinespecies.org/tutorial_taxonmatch.php) were employed for cross-referencing taxonomic information, while Marine Regions ( https://www.marineregions.org/) and obis.org/maptool are used for locations.