This dataset describes primary biodiversity data pertaining to pelagic diversity from the Bay of Toliara, Madagascar. The data is assembled in the framework of a specialized training program for students from Madagascar and its surrounding region (Pole de Formation Spécialisee, Institut Halieutique et des Sciences de la Mer). Additional data will be added along the years. Pelagic samples are taken in the Bay of Toliara using two ships and Plankton nets. The georeferencing is done using a GPS onboard ships, and samples are taken inside the lagoon (in two seperate locations); as well as on the outer fringe of the coral reef. The taxonomic determination are done by the students using a local field guide, under the supervision of their accompanying professor. Students enter data in Darwincore spreadsheet templates as provided by GBIF.
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 117 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.
Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Danis B, Rasolofonirina R, Eeckhaut I, [year accessed]. IHSM Pelagic diversity survey project. Online resource.
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Belgian Biodiversity Platform. This IHSM pelagicdiversity database is made available under the Open Data Commons Attribution License: http://www.opendatacommons.org/licenses/by/1.0/
This resource has been registered with GBIF, and assigned the following GBIF UUID: d8774f09-ebd8-451c-b133-41e4500981d9. Belgian Biodiversity Platform publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Belgian Biodiversity Platform.
plankton; bay of Toliara; Indian Ocean; Survey; Capacity Building; Mozambique Channel; Institut Halieutique et des Sciences de la Mer; Pole de Formation Spécialisé; Training
Who created the resource:
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Who filled in the metadata:
Samples were taken in the Bay of Toliara (Madagascar), in the Mozambique Channel.
|Bounding Coordinates||South West [-23.4, 43.62], North East [-23.35, 43.67]|
All taxa captured using small plancton nets are entered in the dataset, including zoo-, phyto- plankton. Names were matched using the World Register of Marine Species Taxon Match Tool (http://marinespecies.org/aphia.php?p=match).
|Domain||Biota (Pelagic organisms)|
No Description available
|Title||Pôle de Formation Spécialisée, Institut Halieutique des Sciences de la Mer|
|Study Area Description||Toliara Reef, Mozambique Channel, Madagascar|
The personnel involved in the project:
Sampling was carried out using plakton nets of two sizes, deployed by students onboard small vessels naviugating in the Bay of Toliara, inside and outside the lagoon.
|Study Extent||This study will include occurrence of organisms recorded in the framework of the Pelagic Biodiversity course of the Pôle de Formation Spécialisée.|
|Quality Control||Sampling, Identification and Georeferencing were performed by the students, under the supervision of Prof Bruno Danis, Université Libre de Bruxelles. Scientific Names were matched against the content of the World Register of Marine Species using the dedicated Taxon Match tool.|
Method step description:
- each data object corresponds to an individual observed in the field and collected using plankton nets. as mentionned in the data quality control field, sampling, identification and georeferencing were performed by the students, under the supervision of Prof Bruno Danis, Université Libre de Bruxelles
|Purpose||This data has been collected by Master-level students, under the supervision of their professor. Identifications are not specialist grade.|