DNV

Latest version published by DNV GL on Jun 9, 2020 DNV GL

DNV GL Group AS is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV GL operates in the oil, gas and renewable energy sectors.

The data produced by DNV GL is stored in their own Environmental Monitoring database (MOD). It comprises approximately 2.8 million species occurrence records, as well as chemical and geology records. This information comes from grab sampling conducted in areas around oil drilling stations. GBIF Norway is working with DNV GL to publish the species abundance data in the MOD database.

The grab sampling process is done on a yearly basis around the months of May and June, but not all stations are sampled each year. In general sampling is done around each station every third year, and in some areas samples have been repeated since the 1990s.

Data Records

The data in this sampling event 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 43,407 records. 1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

  • Event (core)
    43407
  • Occurrence 
    2036474

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.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 43,407 records in English (65 MB) - Update frequency: unknown
Metadata as an EML file download in English (6 KB)
Metadata as an RTF file download in English (6 KB)

Versions

The table below shows only published versions of the resource that are publicly accessible.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is DNV GL. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: bed78790-cbec-44af-82af-fe78e9692287.  DNV GL publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Norway.

Keywords

Samplingevent; OpenPSD; private-sector; gbif-cesp

Contacts

Who created the resource:

Thomas Møskeland
Marine Biologist

Who can answer questions about the resource:

Thomas Møskeland
Marine Biologist

Who filled in the metadata:

GBIF Norway
GBIF Norway NO

Who else was associated with the resource:

User
Rukaya Johaadien

Project Data

Acknowledgments: this dataset has been published as part of the efforts done in the CESP Project “OpenPSD – Engage and promote the private sector in open biodiversity data publication (ID CESP2019-004)”.

Title OpenPSD

The personnel involved in the project:

Content Provider
Thomas Møskeland

Sampling Methods

Biology samples are taken with a van Veen grab and from a surface area of 0.5 m^2 There are several sample stations around each installation. The distance and direction from the main installation is stored in locationRemarks. The exact latitude and longitude for each sample station is provided. Approximately five grabs are made at each station, each a few meters apart. The grab numbers are provided in the eventRemarks.

Study Extent Barents sea, Ekofisk area, Finnmark, Møre area, Nordland, Oseberg, Sleipner, Statfjord, Trondelag, UK Shelf

Method step description:

  1. The identification of species in each sample is in general done at DNV GL's Biology lab but samples are also sometimes outsourced to external taxonomists.

Additional Metadata

Alternative Identifiers bed78790-cbec-44af-82af-fe78e9692287
https://ipt.gbif.no/resource?r=dnv