{"vid":"114464","uid":"0","title":"Celtic Sea Scottish Otter Trawl Quarter 4 Groundfish Survey Monitoring and Assessment Data Products","log":"Updated by FeedsNodeProcessor","status":"1","comment":"0","promote":"0","sticky":"0","ds_switch":"","nid":"15106","type":"data_source","language":"und","created":"1509476851","changed":"1550786877","tnid":"0","translate":"0","revision_timestamp":"1550786877","revision_uid":"0","body":{"und":[{"value":"
The Celtic Sea Scottish Quarter 4 Otter Trawl Groundfish Survey Monitoring and Assessment Data resource contains both biological and sampling information. There are two sampling areas a \u201cFull\u201d data set, this includes rectangles that have a poor temporal sampling record. The \u201cSSA\u201d or \u201cStandard Survey Area\u201d sampling area only contains rectangles that have consistent temporal sampling and meet the criteria set out in Moriarty et al, (2017). The \u201csampling information\u201d contains all the technical information required to describe each individual haul. The \u201cbiological information\u201d contains all of the biological information required to describe the species length and weight distributions in each haul. Biological information is further classified by \u201cbaseline\u201d data. This data contains a mix of species, genus, and family classifications, with a tag to say if it required further assessment and \u201cnull\u201d length values, with a tag to say a length frequency distribution needs to be assigned. The \u201ck-NN\u201d or \u201ck\u201d 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: \u2022 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.
\nData product:
\n \u2022 This product is the Standard Survey Area - Standard Monitoring Programme this is the recommended product for all analyses.
\n\u2022 This product is the knn/resolved product which is recommended for all analyses.
Acknowledgements
\nFinlay Burns, Marine Scotland Science
\nJens Rasmussen, Marine Scotland Science
\nVaishav Soni, ICES Data Centre
\nInternational Council for Exploration of the Sea (ICES)
The Celtic Sea Scottish Quarter 4 Otter Trawl Groundfish Survey Monitoring and Assessment Data resource contains both biological and sampling information. There are two sampling areas a \u201cFull\u201d data set, this includes rectangles that have a poor temporal sampling record. The \u201cSSA\u201d or \u201cStandard Survey Area\u201d sampling area only contains rectangles that have consistent temporal sampling and meet the criteria set out in Moriarty et al, (2017). The \u201csampling information\u201d contains all the technical information required to describe each individual haul. The \u201cbiological information\u201d contains all of the biological information required to describe the species length and weight distributions in each haul. Biological information is further classified by \u201cbaseline\u201d data. This data contains a mix of species, genus, and family classifications, with a tag to say if it required further assessment and \u201cnull\u201d length values, with a tag to say a length frequency distribution needs to be assigned. The \u201ck-NN\u201d or \u201ck\u201d 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: \u2022 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.
\nData product:
\n \u2022 This product is the Standard Survey Area - Standard Monitoring Programme this is the recommended product for all analyses.
\n\u2022 This product is the knn/resolved product which is recommended for all analyses.
Acknowledgements
\nFinlay Burns, Marine Scotland Science
\nJens Rasmussen, Marine Scotland Science
\nVaishav Soni, ICES Data Centre
\nInternational Council for Exploration of the Sea (ICES)