
Sampling of Mediterranean fan mussel specimens (Pinna nobilis) for molecular analyses of the byssus and of the shell matrix
This document describes a field mission carried out in May 2017, at the Observatoire Océanologique de Villefranche-sur-Mer. This mission aimed at collecting live specimens as well as dead shells from the Mediterranean fan mussel, Pinna nobilis, an endemic species protected by European Directive ...

Gourdans-Ain River-Chemical data
Water physico-chemical data of the cut-off channel called Gourdans

Planet-Ain River-Chemical data
Water physico-chemical data of the cut-off channel called Planet

Brotteaux-Ain river-Chemical data
Water physico-chemical data of the cut-off channel called Brotteaux

Port-Galland-Ain River-Chemical data
Water physico-chemical data of the cut-off channel called Port-Galland

Sous Bresse-Ain River-Chemical data
Water physico-chemical data of the cut-off channel called Sous Bresse

Puit-Novets-Ain River-Chemical data
Water physico-chemical data of the cut-off channel called Puit-Novets

Zones humides basse vallée de l'Ain
Aquatic plant communities and water physico-chemical data of cut-off river channels of the Ain river.
Discipline
- chemistry, analytical
- multidisciplinary sciences
- health care sciences & services
- geology
- ecology
- environmental sciences
- water resources
- geosciences, multidisciplinary
- mineralogy
- biodiversity conservation
- plant sciences
- geochemistry & geophysics
- agronomy
- meteorology & atmospheric sciences
- geography, physical
- cell biology
- biology, miscellaneous
- limnology
- marine & freshwater biology
- materials science, biomaterials
- materials science, composites
- materials science, multidisciplinary
- medical informatics
- archaeology
- microbiology
- microscopy
- biology
- mycology
- nanoscience & nanotechnology
- parasitology
- physics, atomic, molecular & chemical
- biochemistry & molecular biology
- toxicology
- urban studies
- forestry
- engineering, environmental
- chemistry, inorganic & nuclear
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dat@UBFC
dat@UBFC is the platform for the description of data from UBFC scientific research. It proposes a description of the digital data sets resulting from scientific research.
