Examples of using Age data in English and their translations into Russian
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Chemical, mineralogical and age data from volcanic rocks.
This was likely to result from the lack of recent age data.
The Working Group noted that age data are available and could be included in the assessment.
The Working Group recommended that YCS should not be estimated until age data were available.
Additionally, age data from randomly sampled otoliths from 2008/09 were included in the model.
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The results included catch, length-weight and age data for both species of toothfish.
The Working Group agreed that it is important to monitor for consistency andage drift in generating age data.
The need to obtain reliable and validated age data from Members participating in new and exploratory fisheries was highlighted.
The authors highlighted the importance of ageing validation,particularly those age data being used for stock assessment.
The Working Group noted that age data for this area were based on limited information(WG-FSA-13/48) and the recommendation in the paper that age compositions be 250 given a low weighting in the assessment.
The Working Group recommended that age frequencies be included once age data are available and that YCS be estimated as a sensitivity analysis.
The Working Group recalled previous advice(SC-CAMLR-XXXV, paragraph 3.213)requesting that Members provide validated age data for the area.
While censuses andhousehold surveys collect information on sex and age, data disaggregated by these variables are not always made available for further analysis and research.
The study reports that most of these occur amongst the younger population butthe study does not provide disaggregated age data on these statistics.
The Working Group noted that few age data are currently available from otoliths collected after 2014 and recommended that further ageing of toothfish be made a priority by Members who have collected otoliths in this area(SC-CAMLR-XXXVI, Annex 7, Table 1) to develop annual ALKs.
The Scientific Committee welcomed this updated stock assessment, andrecommended that age frequencies be included once age data are available and that YCS be estimated as a sensitivity analysis.
WG-FSA-17/52 presented the stock assessment which was updated with data from the 2015/16 and 2016/17 seasons of catches, length distributions, tag release andrecapture data, and age data.
The Working Group recommended that age frequencies be included for both the survey andcommercial data once age data are available and that YCS be then estimated as a sensitivity analysis.
The Scientific Committee noted France's commitment to carry out ageing, which is currently under way, andrecommended that year-class strength(YCS) should not be estimated until age data were available.
The Working Group recommended that finances could be made available in the short term, possibly through the GeneralScience Capacity Special Fund, to ensure that sufficient age data were available from new and exploratory fisheries in order to facilitate the development of assessments in these areas.
The Working Group also noted that age data for the commercial fleets for the years 2009 to 2013, and for the survey for the years 2012 and 2013, had not been available for the assessment; the absence of age data is increasing uncertainty in the assessment estimates, particularly in recent YCS.
The Working Group recalled its discussions on ageing toothfish otoliths in 2010(SC-CAMLR-XXIX, Annex 8, paragraphs 8.18 to 8.24) andthe importance of reliable and validated age data in assessing toothfish stocks.
The Working Group noted that these age data, including readings of the reference set, should be provided to the Secretariat, and reported, along with sampling methods, ageing methodology and progress on cross-validation, to WG-SAM-18 for evaluation and hence potential inclusion in analyses for WG-FSA-18 for SSRUs 882C-H.
The 2009 age-composition data indicated the catch in that year to be dominated by just two or three age classes andwas inconsistent with other years for which age data indicated a broader spread of ages. .
The new age data from over 2 000 fish sampled from the 2012-2014 random stratified trawl surveys and from the 2013 commercial fishery were included in the stock assessment presented in WG-FSA-14/34, which improved the information available on fish older than 20 years and led to a re-estimation of the von Bertalanffy growth parameters.
Data gaps included lack of standardized data and data collection methods on violence against women; no statistics disaggregated by sex and age; data deficits on caseloads of courts and police investigators; and other criminal justice system indicators.
Assuring the availability and quality of data submitted by Members that are not required to be submitted to the Secretariat(e.g. age or otolith data, age-length data)(i) Development andmanagement of non-required datasets held by the CCAMLR Data Centre e.g. research plan additional data collection, age data, otoliths readings.
For example, although progress has been made,gaps remain in U.S. aging data.
Ageing data derived from scale and otolith reading of historical collections from the Indian Ocean sector were provided in WG-FSA-10/13.
The Working Group recommended that the Secretariat develop a database that contains ageing data, metadata, reference sets and readings thereof, to store data collected by multiple Members conducting age readings.