Catalogue PIGMA
ROCCH dataset : chemical contaminants levels for shellfish area quality management
Rocch, the french "mussel watch", provides regulatory data for shellfish area quality management. Once a year, molluscs (mainly mussels and oysters) were sampled at fixed periods (currently mid-February, with a tolerance of one tide before and after the target date) on 70 to 80 monitoring stations in areas used as bivalve molluscs production. For each monitoring station, molluscs are collected in wild beds or facilities, ensuring a minimum stay of 6 months on-site before sampling. The individuals selected are adults of a single species and uniform size (30 to 60 mm long for mussels, 2 to 3 years old for oysters, and commercial size for other species). A minimum of 50 mussels (and other species of similar size) or 10 oysters is required to constitute a representative pooled sample. Lead, mercury, cadmium, PAHs, PCBs, dioxins and, since 2023, regulated PFASs are analysed in molluscs tissues.
Simple
- Date (Publication)
- 2024-04
- Date (Revision)
- 2024-04-08
- Other citation details
- Grouhel-Pellouin Anne, Verin Francoise, Maheux Frank, Le Gall Patrik, Cheve Julien, Lebrun Luc, Gabellec Raoul, Schmitt Anne, Bruneau Audrey, Le Fur Ines, Gouriou Laure, Rigouin Loic, Munaron Dominique, Gianaroli Camille, Serais Ophelie, Marco-Miralles Francoise, Connes Coralie, Brodu Nicolas, Lebon Fabien, Malo Florent, Costes Louis, Benhamou Jeremy (2024). ROCCH dataset : chemical contaminants levels for shellfish area quality management. SEANOE. https://doi.org/10.17882/79255
- Theme
-
- chemical contaminants
- molluscs
- quality
- shellfish area
- Environment
- Fisheries and aquaculture
- Use limitation
- CC-BY (Creative Commons - Attribution)
- Use constraints
- Other restrictions
- Other constraints
- Data are published without any warranty, express or implied. It is the sole responsibility of the user to assess if the data are appropriate for his/her use, and to interpret the data, data quality, and data accuracy accordingly. .
- Date (Publication)
- 2024
- Unique resource identifier
- 10.13155/100083
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2024
- Unique resource identifier
- 10.13155/100340
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2024
- Unique resource identifier
- 10.13155/100441
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2024
- Unique resource identifier
- 10.1002/lol2.10399
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2023
- Unique resource identifier
- 10.13155/95412
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2023
- Unique resource identifier
- 10.13155/97878
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2023
- Unique resource identifier
- 10.13155/97989
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2023
- Unique resource identifier
- 10.13155/94615
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/94563
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/90555
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/88087
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/92123
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/91996
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2022
- Unique resource identifier
- 10.13155/88103
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2020
- Unique resource identifier
- 10.13155/73317
- Association Type
- Cross reference
- Initiative Type
- Study
- Date (Publication)
- 2018
- Unique resource identifier
- 10.13155/73319
- Association Type
- Cross reference
- Initiative Type
- Study
- Metadata language
- English
- Topic category
-
- Oceans
N
S
E
W
))
- Begin date
- 2020
- End date
- 2023
- Distribution format
-
-
CSV
(
)
-
CSV
(
)
- OnLine resource
-
Quality controlled data
(
WWW:DOWNLOAD-1.0-link--download
)
2020 data - 692 KB
- OnLine resource
-
Quality controlled data
(
WWW:DOWNLOAD-1.0-link--download
)
2021 data - 578 KB
- OnLine resource
-
Quality controlled data
(
WWW:DOWNLOAD-1.0-link--download
)
2022 data - 340 KB
- OnLine resource
-
Quality controlled data
(
WWW:DOWNLOAD-1.0-link--download
)
2023 data - 504 KB
- OnLine resource
- https://wwz.ifremer.fr/surval/ ( WWW:LINK )
- OnLine resource
- DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
- OnLine resource
- Seanoe ( rel-canonical )
- Hierarchy level
- Dataset
- File identifier
- seanoe:79255 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-04-08
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Overviews
Stock if oysters for ROCCH sampling at Roguedas station
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available