Marine_Scotland_FishDAC_1966
eng
dataset
Scottish Government (Marine Scotland)
+44 (0)300 244 4000
marinescotland@gov.scot
pointOfContact
2017-07-13
MEDIN Discovery Metadata
Version 2.3.7
urn:ogc:def:crs:EPSG::4326
OGP
Greater North Sea English Beam Trawl Quarter 3 Groundfish Survey Monitoring and Assessment Data Products
GNSEngBT3
2017-07-31
publication
Marine_Scotland_FishDAC_1966
The Greater North Sea English Quarter 3 Beam Trawl Groundfish Survey Monitoring and Assessment Data resource contains both biological and sampling information. There are two sampling areas a “Full” data set, this includes rectangles that have a poor temporal sampling record. The “SSA” or “Standard Survey Area” sampling area only contains rectangles that have consistent temporal sampling and meet the criteria set out in Moriarty et al, (2017).
The “sampling information” contains all the technical information required to describe each individual haul. The “biological information” contains all of the biological information required to describe the species length and weight distributions in each haul. Biological information is further classified by “baseline” data. This data contains a mix of species, genus, and family classifications, with a tag to say if it required further assessment and “null” length values, with a tag to say a length frequency distribution needs to be assigned. The “k-NN” or “k” number of nearest neighbours data has reconciled all of the taxonomic data to the highest resolution possible, and assigned an appropriate length distribution to the sample in question.
Product type:
• This product is the Full Standard Monitoring Programme it is recommended that you use the Standard Survey Area - Standard Monitoring Programme for any OSPAR related analyses.
• This product is the Standard Survey Area - Standard Monitoring Programme this is the recommended product for all analyses.
• This product is the baseline/non-resolved biological information, this contains species and length classes that have not been resolved. We recommended use of the knn/resolved product for all analyses.
• This product is the knn/resolved product which is recommended for all analyses.
Additional information:
This data can be freely downloaded according to the Scottish Government data policy.
Scottish Government (Marine Scotland)
+44 (0)300 244 4000
Mailpoint 11, Area 1B South, Victoria Quay
Edinburgh
EH6 6QQ
United Kingdom
marinescotland@gov.scot
pointOfContact
Scottish Government (Marine Scotland)
+44 (0)300 244 4000
Mailpoint 11, Area 1B South, Victoria Quay
Edinburgh
EH6 6QQ
United Kingdom
marinescotland@gov.scot
custodian
Scottish Government (Marine Scotland)
+44 (0)300 244 4000
Mailpoint 11, Area 1B South, Victoria Quay
Edinburgh
EH6 6QQ
United Kingdom
marinescotland@gov.scot
distributor
Centre for Environment Fisheries and Aquaculture (CEFAS)
+44 (0) 1502 562244
Pakefield Road
Lowestoft
United Kingdom
data.manager@cefas.co.uk
originator
Marine Scotland
+44 (0)300 244 4000
1B South, Victoria Quay
Edinburgh
United Kingdom
marinescotland@gov.scot
originator
International Council for Exploration of the Sea (ICES)
+45 3338 6700
H. C. Andersens Boulevard 44-46
Copenhagen
Denmark
info@ices.dk
originator
Not Planned
Marine Environmental Data and Information Network
Environment
Fisheries and aquaculture
SeaDatanet Parameter Disciplines
2008-05-01
revision
Fish
Fisheries
SeaDataNet Agreed Parameter Groups
2010-10-23
revision
Fish abundance in water bodies
Fish biomass in water bodies
BODC Parameter Discovery Vocabulary
2011-03-25
revision
Biological diversity maintained
Marine food webs are at normal abundace and diversity
Non-indigenous species do not adversly effect ecosystem
Marine Strategy Framework Directive descriptors
2010-11-11
revision
Open Government License (http://www.nationalarchives.gov.uk/doc/open-government-licence/)
otherRestrictions
no limitations to public access
55000.00
eng
biota
oceans
-3
3
48.5
54
ICES Rectangles
1910-01-01
creation
26E7
ICES Rectangles
1910-01-01
creation
27E7
ICES Rectangles
1910-01-01
creation
28E7
ICES Rectangles
1910-01-01
creation
29E7
ICES Rectangles
1910-01-01
creation
30E7
ICES Rectangles
1910-01-01
creation
26E8
ICES Rectangles
1910-01-01
creation
27E8
ICES Rectangles
1910-01-01
creation
28E8
ICES Rectangles
1910-01-01
creation
29E8
ICES Rectangles
1910-01-01
creation
30E8
ICES Rectangles
1910-01-01
creation
27E9
ICES Rectangles
1910-01-01
creation
28E9
ICES Rectangles
1910-01-01
creation
29E9
ICES Rectangles
1910-01-01
creation
30E9
ICES Rectangles
1910-01-01
creation
28F0
ICES Rectangles
1910-01-01
creation
29F0
ICES Rectangles
1910-01-01
creation
30F0
ICES Rectangles
1910-01-01
creation
35F0
ICES Rectangles
1910-01-01
creation
36F0
ICES Rectangles
1910-01-01
creation
28F1
ICES Rectangles
1910-01-01
creation
29F1
ICES Rectangles
1910-01-01
creation
30F1
ICES Rectangles
1910-01-01
creation
31F1
ICES Rectangles
1910-01-01
creation
32F1
ICES Rectangles
1910-01-01
creation
33F1
ICES Rectangles
1910-01-01
creation
34F1
ICES Rectangles
1910-01-01
creation
35F1
ICES Rectangles
1910-01-01
creation
31F2
ICES Rectangles
1910-01-01
creation
32F2
ICES Rectangles
1910-01-01
creation
33F2
ICES Rectangles
1910-01-01
creation
34F2
SeaDataNet vertical extent keywords
2010-01-01
revision
The entire body of water between the bed and the atmosphere.
1990-01-01
2016-12-31
https://dx.doi.org/10.7489/1966-1
DOI:https://dx.doi.org/10.7489/1966-1
Marine Scotland Internal Data Storage
offlineAccess
dataset
Data quality statement:
This data product has undergone rigorous quality checking, as outlined in the supporting documentation (Moriarty et al, 2017; Greenstreet et al 2017). It is suitable for supporting OSPAR fish community assessments and additional indicator research and development.
Data source:
Data was sourced on the Database of Trawl Surveys (DATRAS) housed by ICES, this data is traditionally used for stock assessments and fish community studies by the ICES community and public users. The ICES data have to pass an extensive quality check.
Collection methods:
The data was collected by CEFAS during their North Sea Beam Trawl Survey (BTS) coordinated by the Beam Trawl Survey Working Group.
Data processing methods:
While DATRAS has an integrated quality check, it was necessary to do a more extensive quality check and estimate certain values when data was not originally collected. The processing methods are fully outlined in Moriarty et al (2017).
Data Interoperability:
Sampling Information
Field -Unit- Description
HaulID - - Unique haul identifier (SurveyAcronym/Ship/Year/HaulNo) (H)
Survey-Acronym - - Unique survey identifier (SubregionCountryGearTypeQuarter: e.g. GNSNedBT3)
Ship - - Unique vessel identifier (e.g. SCO3: Scotia III)
GearType - - Unique gear type code (BT = Beam Trawl, OT = Otter Trawl)
Gear - - Unique gear code (e.g. GOV = Grande Oerverture Verticale)
YearShot - - Year that gear was shot
MonthShot - - Month that gear was shot
DayShot - - Day that gear was shot
TimeShot -GMT- Time that gear was shot (in format HHMM)
HaulDur(min) -Min- Duration of fishing operation
ShootLat(decdeg) -Deg.- Latitude in decimal degrees of the haul shoot position
ShootLong(decdeg) -Deg.- Longitude in decimal degrees of the haul shoot position
ICESStSq - - ICES statistical rectangle where gear was shot
SurvStratum - - Stratum tag for stratified surveys
Depth(m) -m- Depth tag assigned to the haul
Distance(km) -km- Tow distance (dH,TOW)
WingSpread(m) -m- Mean distance between the wings during fishing operation(dH,WING)
DoorSpread(m) -m- Mean distance between the doors during fishing operation (dH,DOOR)
NetOpen(m) -m- Mean head-line height above seabed during fishing operation (dH,HEIGHT)
WingSwptArea(sqkm) -km2 - Area of seabed swept by the net (AH,WING = dH,TOW x dH,WING)
WingSwptVol_CorF - - Multiplier (1 / dH,HEIGHT): converts to ‘density by wing-swept volume
DoorSwptArea_CorF - - Multiplier (dH,WING / dH,DOOR): converts to ‘density by door-swept area
DoorSwptVol_CorF - - Multiplier (dH,WING / (dH,DOOR x dH,HEIGHT)): converts to ‘density by door-swept volume
Biological Information
There are two Biological Information data products, ‘BaseLine’ and ‘KNN’. In ‘Baseline’ the k-NN procedure has not been applied, so densities-at-length of species complexes (e.g. genus, family or order taxonomic resolution level identifications codes) have not been resolved to the complexes constituent species, densities of a species where length data are not provided have not been resolved to their constituent length categories, and destinies of species complexes have not been resolved to their constituent species and length categories. In ‘KNN’ the k-NN procedure has been applied to address these three type of problem. Consequently the ‘KNN’ data product will have more records that the ‘Baseline’ data product and some fields are not relevant to the ‘Baseline’ data product. The ‘KNN’ data product will have the following structure.
Field -Unit- Description
HaulID - - Unique haul identifier (SurveyAcronym/Ship/Year/HaulNo) (H)
SpeciesSciName - - Unique species name for each species sampled across the NE Atlantic (S)
FishLength(cm) -cm- Integer numbers indicating fish length to the ‘cm below’ (L)
IndivFishWght(g) -g- Estimated weight of individual fish of specified species and length (WS,L)
Number - - Total number of fish of specified species and length in the catch (NS,L,H)
DensAbund(N_sqkm) -km-2- Abundance density estimate (Dnos,S,L,H = NS,L,H / AH,WING)
DensBiom(kg_Sqkm) -kg km-2- Biomass density estimate (Dbiom,S,L,H = (NS,L,H x WS,L)/ AH,WING)
The ‘BaseLine’ product will not include the fields IndivFishWght(g) and DensBiom(kg_Sqkm), and the field SpeciesSciName will simply be called SciName. The two fields are excluded because with uncertain species identities it would not be possible to consistently include data for the field IndivFishWght(g), and in addition with uncertainty regarding length category, estimation of appropriate reliable values for the field DensBiom(kg_Sqkm) would also not always be possible. The ‘BaseLine’ data product was included because of feedback from data providers and potential data users, who stated that they would prefer having access the “real” data, rather than rely on estimated values to fill in where information was missing.