Observation of phytoplankton in réserve naturelle du Luitel during the summer of 2024

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 593 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:

RAFAI S, VOGIN A, RIGAUD Q, NÉMERY J, COSTREL DE CORAINVILLE S, BAILLOT S, DESPLANQUES C (2026). Observation of phytoplankton in réserve naturelle du Luitel during the summer of 2024. Version 1.0. LIPhy CNRS Univ Grenoble Alpes. Occurrence dataset. https://ipt.gbif.fr/resource?r=lacoscope_luitel&v=1.0

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is LIPhy CNRS Univ Grenoble Alpes. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 13c67ec0-8900-4278-9f03-ff3a8957905c.  LIPhy CNRS Univ Grenoble Alpes publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF France.

Keywords

Occurrence; phytoplancton; lake

Contacts

Geographic Coverage

N/A

Taxonomic Coverage

No Description available

Temporal Coverage

Project Data

The Lacoscope project aims to involve a large number of citizens (non-expert general public) in the collaborative production of images of plankton in Alpine lakes. A low-cost, portable microscopy platform (PlanktoScope), built by students and supported by scientific mediators, will allow the monitoring of plankton dynamics as an indicator of environnemental changes.

The personnel involved in the project:

Sampling Methods

We sampled surface plankton using a horizontal tow with a 20--\,\textmu m mesh plankton net over an \textasciitilde 10 m path at constant speed.

Method step description:

1. Sampling at Luitel was carried out using a horizontal plankton net with a mesh size of 20 µm, a classic method widely used to collect microalgae and microorganisms at the surface (Lund et al., 1958). The net was towed for approximately 10 m at a constant speed in order to obtain a representative volume of filtered water from the study area. The samples were then analyzed using the PlanktoScope, a low-tech, open-source imaging device that provides a standardized stream of plankton images (Pollina et al., 2023). The segmented objects were then imported into the EcoTaxa platform, a collaborative reference tool for the semi-automated taxonomic classification of plankton images (EcoTaxa Development Team, 2024) with combination of machine learning algorithms and expert validation (Picheral et al., 2017; Irisson et al., 2022). Finally, the validated data were analyzed in terms of occurrences and community structure using dedicated Python scripts.

Additional Metadata