Litter pr Mareano station

Number of litter objects observed on the seabed per 100 meters on video stations from the Mareano cruises. The data set shows the number of observed objects (larger than 5 cm) on the seabed that are categorized as litter. Litter includes all elements that are man-made. The data set is based on video observations and covers areas where the MAREANO mapping project has collected video material. The data set is based on the interpretation of video material of the surface of the seabed, collected using video rigs. Recording of the seabed surface was done along 200 m and 700 m long transects. All objects identified as litter are recorded along each transect. The variable 'litter' is numeric.

Date (Creation): 2021-01-13

Date (Publication): 2021-01-13

Date (Revision): 2025-02-11

Code: soppel_pr_mareanostasjon

Purpose: Increasing knowledge and support in connection with cleaning up the seabed.

Status: Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Institute of Marine Research	Kjell Bakkeplass	kjell.bakkeplass@hi.no	Publisher
Institute of Marine Research	Pål Mortensen	paal.mortensen@hi.no	Owner

Maintenance and update frequency: Annually

Nasjonal inndeling i geografiske initiativ og SDI-er

Mareano
Norway Digital
Felles datakatalog

Nasjonal tematisk inndeling (DOK-kategori)

Forurensning

Place

Norwegian ocean areas
Barentshavet
Norskehavet
Norske havområder nord for 62 grader

Administrative enheter i Norge

Norge

Theme

Human impact
videoobservasjoner
video
videorigg
litter

SOSI produktspesifikasjon

Spatial scope

National

Specific usage: The data set can be used as a basis in connection with cleaning up the seabed, and to increase knowledge regarding which areas along the coast are heavily littered. Each point symbol is plotted on the coordinates of the midpoint of the transect, where the size of the symbol corresponds to the number of litter objects.

User contact info

Organisation name	Individual name	Electronic mail address	Role
			Owner

Use limitation: Ingen begrensninger på bruk er oppgitt.

Access constraints: Other restrictions

Other constraints: Åpne data

Use constraints: Other restrictions

Other constraints: Norsk lisens for offentlige data (NLOD)

Classification: Unclassified

Spatial representation type: Vector

Denominator: 500000

Language: Norwegian

Topic category

Environment

Unique resource identifier: EPSG:25833

Unique resource identifier: EPSG:3035

Unique resource identifier: EPSG:4258

Distribution format

Name	Version
FGDB	10.0
GML
GML	3.2.1
PostGIS
PostGIS	9.4
SOSI	4.5
FGDB
GML
PostGIS
SOSI

Units of distribution: landsfiler

OnLine resource

Protocol	Linkage	Name
GEONORGE:DOWNLOAD	https://nedlasting.test.geonorge.no/api/capabilities/

Hierarchy level: Dataset

Domain consistency

Conformance result

Title: SOSI produktspesifikasjon: Søppel pr. Mareano-stasjon

Date (Publication)

Title: sosi

Date

Explanation: The data is according to the product specification

Pass: Yes

Conformance result

Title: Sosi applikasjonsskjema

Date (Publication)

Title: uml-sosi

Date

Explanation: SOSI files are according to application form

Pass: Yes

Conformance result

Title: Sosi applikasjonsskjema

Date (Publication)

Title: uml-gml

Date

Explanation: GML files are according to application form

Pass: Yes

Completeness omission

Name of measure: Prosentvis oppfyllelse av FAIR-prinsipper

Measure description: Angir fullstendighet i forhold til krav fra FAIR-prinsippene (The FAIR Guiding Principles for scientific data management and stewardship)

Quantitative result

Value: 98

Statement: The data set is based on the interpretation of video material of the surface of the seabed, collected using video rigs. Recording of the seabed surface was done along 200 m and 700 m long transects. All observed litter objects were recorded along each transect. The variable 'litter' is numerical. Each point symbol is plotted on the coordinates of the midpoint of the transect, where the size of the symbol corresponds to the number of litter objects. The data set is suitable for use on a scale of 500,000 - 10,000,000.