Dataset

MBON POLE TO POLE: ROCKY SHORE BIODIVERSITY OF PUERTO MADRYN - 2019

Caribbean OBIS MeasurementOrFact Open in mapper Explore occurrences

The MBON Pole to Pole effort seeks to develop a framework for the collection, use and sharing of marine biodiversity data in a coordinated, standardized manner leveraging on existing infrastructure managed by the Global Ocean Observing System (GOOS; IOC-UNESCO), the GEO Biodiversity Observation Network (GEO BON), and the Ocean Biogeographic Information System (OBIS). The MBON Pole to Pole aims to become a key resource for decision-making and management of living resource across countries in the Americas for reporting requirements under the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDGs). This collection corresponds to the species registered on rocky shores of Puerto Madryn, Argentina, using the MBON P2P sampling protocol for rocky shores in 2019.

Citation: Bigatti G, Mendez M M, Livore J P, Bravo G (2023). MBON POLE TO POLE: ROCKY SHORE BIODIVERSITY OF PUERTO MADRYN - 2019. Version 1.2. Caribbean OBIS Node. Samplingevent dataset. https://ipt.iobis.org/mbon/resource?r=pto_madryn_2019&v=1.2

Published: March 17, 2023 at 19:40

License: This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License

URL: https://ipt.iobis.org/mbon/resource?r=pto_madryn_2019

Contacts:

Gregorio Bigatti
IBIOMAR-CONICET

MarĂ­a Martha Mendez
IBIOMAR-CONICET

Juan Pablo Livore
IBIOMAR-CONICET

Gonzalo Bravo
IBIOMAR-CONICET

445
occurrence records
445
measurements and facts
26
taxa
16
species

Taxa

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 445
100.0%
minimumDepthInMeters 445
100.0%
occurrenceStatus 445
100.0%
scientificNameID 445
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 445
100.0%
ON_LAND 357
80.2%
NO_MATCH 142
31.9%

Measurement types

DNA derived data