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Overview

Project website github.com/worldbank/sdg-metadata
Instructions for translators

This project is limited to Russian translation only, for now.

More detailed instructions to come.
Project maintainers User avatar brockfanning
Translation license MIT License
Translation process
  • Translations can be made directly.
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  • Translations are reviewed by dedicated reviewers.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language can not be edited.
Source code repository https://github.com/worldbank/sdg-metadata
Repository branch master
Last remote commit Merge pull request #552 from worldbank/revert-542-weblate-sdg-metadata-1-1-1a c2ca02e1ab1
User avatar brockfanning authored 6 days ago
Last commit in Weblate Added translation using Weblate (French) 2f03c607b87
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Weblate repository https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
File mask translations-metadata/*/14-3-1.yml
Monolingual base language file translations-metadata/en/14-3-1.yml
Translation file Download translations-metadata/ru/14-3-1.yml
Last change Aug. 17, 2022, 5:11 p.m.
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Language Russian
Language code ru
Text direction Left to right
Number of speakers 193,498,207
Number of plurals 3
Plural type One/few/many
Plurals One 1, 21, 31, 41, 51, 61, 71, 81, 91, 101, …
Few 2, 3, 4, 22, 23, 24, 32, 33, 34, 42, …
Many 0, 5, 6, 7, 8, 9, 10, 11, 12, 13, …
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Resource updated
The “translations-metadata/en/14-3-1.yml” file was changed. 2 years ago
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<p>The SDG 14.3.1 Indicator Methodology presented in the document <a href="https://unesdoc.unesco.org/ark:/48223/pf0000265127?3=null&amp;queryId=f3a23122-f713-4f5c-aa88-5e73275ff5f6">IOC-XXIX/2Annex 14, IOC/EC-LI/2 Annex 6</a> provides guidelines for the collection of measurements towards the Indicator. Data and metadata files in which all of the relevant measurements should be compiled will be provided to the data centre or data originator. This data will be collected by the relevant national data centers, such as National Statistical Offices (NSOs) and National Oceanographic Data Centers (NODCs), and shared with the Indicator&#x2019;s custodian agency, the IOC of UNESCO.</p>
<p>The Indicator Methodology comprises an overview of statements on best practice and links to several Standard Operating Procedures (SOPs). These procedures represent the best practices compiled by the leading researcher in the field and have been made freely available. A list of relevant material, as referenced in the Indicator Methodology, can be found here: <a href="http://www.ioccp.org/index.php/documents/standards-and-methods">http://www.ioccp.org/index.php/documents/standards-and-methods</a></p>
<p>The collection of samples followed by their analysis according to the methods and standards included in the SDG 14.3.1 Indicator Methodology is of the greatest importance for the production of data that can be collated towards the global comparison of ocean acidification data of known quality under this indicator. Guidance on how to collect, analyse and manage the data is provided in the methodology and associated metadata and its metadata instruction file. </p>
<p>The document <a href="https://unesdoc.unesco.org/ark:/48223/pf0000265127?3=null&amp;queryId=f3a23122-f713-4f5c-aa88-5e73275ff5f6">IOC-XXIX/2Annex 14, IOC/EC-LI/2 Annex 6</a> further provides guidance on sampling strategies, sampling frequencies, recommendations for calculation of the carbonate system and uncertainty of measurement.</p>
 
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2022-08-12
 
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The “translations-metadata/en/14-3-1.yml” file was changed. 2 years ago
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<h2>Main URLs:</h2>
<p>IOC-UNESCO <a href="http://www.ioc-unesco.org/">http://www.ioc-unesco.org/</a></p>
<p>IODE <a href="https://www.iode.org/">https://www.iode.org/</a>; https://oa.iode.org</p>
<p>GOA-ON <a href="http://goa-on.org/">http://goa-on.org/</a></p>
<p>GOA-ON data portal <a href="http://portal.goa-on.org/">http://portal.goa-on.org/</a></p>
<p>Document IOC/EC-LI/2 Annex 6 -14.3.1 Methodology <a href="http://ioc-unesco.org/index.php?option=com_oe&amp;task=viewDocumentRecord&amp;docID=21938">http://ioc-unesco.org/index.php?option=com_oe&amp;task=viewDocumentRecord&amp;docID=21938</a></p>
<p>Document IOC-XXIX/2Annex 14 <a href="http://www.ioc-unesco.org/index.php?option=com_oe&amp;task=viewDocumentRecord&amp;docID=19589">http://www.ioc-unesco.org/index.php?option=com_oe&amp;task=viewDocumentRecord&amp;docID=19589</a></p>
<h2>References:</h2>
<p>Dickson, A.G., Sabine, C.L. and Christian, J.R. (Eds.) (2007) Guide to best practices for ocean CO<sub>2</sub> measurements. PICES Special Publication 3, 191 pp.</p>
<p>Feely, R. A., Byrne, R. H., Acker, J. G., Betzer, P. R., Chen, C. T. A., Gendron, J. F., &amp; Lamb, M. F. (1988). Winter-summer variations of calcite and aragonite saturation in the northeast Pacific. Marine Chemistry, 25(3), 227-241.</p>
<p>Intergovernmental Oceanographic Commission. <em>IOC Criteria and Guidelines on the Transfer of Marine Technology (CGTMT)/ Crit&#xE8;res et principes directeurs de la COI concernant le Transfert de Techniques Marines (CPTTM)</em>. Paris, UNESCO, 2005. 68pp. (IOC Information document, 1203)</p>
<p>McLaughlin, K., Weisberg, S.B., Dickson, A.G., Hofmann, G.E., Newton, J.A., Aseltine-Neilson, D., Barton, A., Cudd, S., Feely, R.A., R.A. Jefferds, R.A., Jewett, E.B., King, T., Langdon, C.J., McAfee, S., Pleschner-Steele, D. and Steele, B. (2015) Core principles of the California Current Acidification Network: Linking chemistry, physics, and ecological effects. Oceanography 28(2):160&#x2013;169, <a href="http://dx.doi.org/10.5670/oceanog.2015.39">http://dx.doi.org/10.5670/oceanog.2015.39</a>. </p>
<p>Newton J. A., Feeley, R. A., Jewett, E. B., Williamson, P. and Mathis, J. (2015) Global Ocean Acidification Observing Network: Requirements and Governance Plan (2<sup>nd</sup> edition)</p>
<p>Pimenta, A.R. and Grear, J.S. (2018) EPA Guidelines for Measuring Changes in Seawater pH and Associated Carbonate Chemistry in Coastal Environments of the Eastern United States. Office of Research and Development, National Health and Environmental Effects Research Laboratory. EPA/600/R-17/483 </p>
<p>Riebesell U., Fabry V. J., Hansson L. &amp; Gattuso J.-P. (Eds.) (2011) Guide to best practices for ocean acidification research and data reporting. Luxembourg, Publications Office of the European Union, 258pp. (EUR 24872 EN). </p>
<p>Tilbrook, B., Jewett, E.B., DeGrandpre, M.D., Hernandez-Ayon, J.M., Feely, R.A., Gledhill, D.K., Hansson, L., Isensee, K., Kurz, M.L., Newton, J.A. and Siedlecki, S.A., 2019. An enhanced ocean acidification observing network: from people to technology to data synthesis and information exchange. Frontiers in Marine Science, 6, p.337.</p>
 
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<p><strong>Data availability:</strong></p>
<p>Metadata and data availability continuously increase. Since 2021, SDG 14.3.1 data from different national and national data bases are provided directly to a dedicated data portal (<a href="http://oa.iode.org">http://oa.iode.org</a>). This data portal features a wide range of metadata and additional data characterizing the carbonate system of the seawater, not available at the global SDG database.</p>
<p>In order to close existing data gaps to a) measure ocean acidification and b) to report SDG indicator 14.3.1 metadata and data, IOC, together with partners, conducts trainings and webinars. A new ocean acidification online course is now available. (https://classroom.oceanteacher.org/tag/index.php?tc=1&amp;tag=Ocean%20acidification). Past and future trainings are announced on the Ocean Expert (<a href="https://oceanexpert.org/events/calendar">https://oceanexpert.org/events/calendar</a>) and GOA-ON website (<a href="http://goa-on.org/news/news.php">http://goa-on.org/news/news.php</a>).</p>
<p><strong>Disaggregation:</strong></p>
<p>Countries provide complete data sets with respective site-specific data and metadata files.</p>
 
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<p>Following the quality control management and assurance mechanisms described in 4.i and 4.j, three categories of measurement quality will be attributed to the individual data sets:</p>
<ol>
<li>Established oceanographic climate quality (Category 1).</li>
<li>Weather quality data including that from sensors and capacity building simplified pH and alkalinity measurements, with appropriate uncertainty assessment (Category 2).</li>
<li>Measurements of undefined quality (Category 3) (will not be displayed in the visualization of annual weighted means and variance of pH).</li>
</ol>
 
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<p>For the purposes of SDG 14.3.1, three categories of measurement quality were established (adapted from Newton et al. 2015):</p>
<p><u>Category 1: Climate quality</u></p>
<p>The climate quality objective is typically used to determine trends in the open ocean, shelf and coastal waters, providing data on seasonal through interannual variability on regional scales. The climate quality objective requires that a change in the dissolved carbonate ion concentration to be estimated at a particular site with a relative standard uncertainty of 1%. The carbonate ion concentration is calculated from two of the four carbonate system parameters and implies an uncertainty of approximately 0.003 in pH; of 2 &#x3BC;mol kg<sup>&#x2013;1</sup> in measurements of TA and DIC; and a relative uncertainty of about 0.5% in the <em>p</em>CO<sub>2</sub>. Such precision is only currently achievable by a limited number of laboratories and is not typically achievable for all parameters by even the best autonomous sensors.</p>
<p><u>Category 2: Weather quality </u></p>
<p>The weather quality objective is suitable for many coastal and nearshore environments, particularly those with restricted circulation or where CO<sub>2</sub> system parameters are forced by processes like upwelling, pollution or freshwater inputs that can cause large variability. The weather objective requires the carbonate ion concentration (used to calculate saturation state) to have a relative standard uncertainty of 10%. This implies an uncertainty of approximately 0.02 in pH; of 10 &#x3BC;mol kg<sup>&#x2013;1</sup> in measurements of TA and DIC; and a relative uncertainty of about 2.5% in <em>p</em>CO<sub>2</sub>. Such precision should be achievable in competent laboratories, and is also achievable with the best autonomous sensors. </p>
<p><u>Category 3: Measurements of undefined quality </u></p>
<p>For SDG 14.3.1, pH measurements using glass electrodes will be considered Category 3 due to the challenges of using glass pH electrodes in seawater. It is intended that the methodology provided here gives useful information for countries building capacity towards Category 1 and 2 measurements. For example, carefully calibrated glass pH electrodes may help in the identification of coastal ocean acidification hot spots and help prioritize future monitoring plans. In annual SDG 14.3.1 summary products, Category 3 measurement sites will be presented as data collection sites only, no data values will be visualized. </p>
<p>All those contributing data to SDG 14.3.1 are encouraged to adopt measurement quality Category 1 or 2. A variety of capacity development activities to support Member States&#x2019; capacity in this regard are conducted by different organizations (more information can be found here: e.g. <a href="http://www.iaea.org/ocean-acidification">www.iaea.org/ocean-acidification</a>; <a href="http://ioccp.org">http://ioccp.org</a>; <a href="http://www.ioc-cd.org/index.php">http://www.ioc-cd.org/index.php</a>; <a href="http://www.whoi.edu/courses/OCB-OA/">http://www.whoi.edu/courses/OCB-OA/</a>). </p>
 
2 years ago
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<p>The SDG 14.3.1 Indicator Methodology presented in the document <a href="https://unesdoc.unesco.org/ark:/48223/pf0000265127?3=null&amp;queryId=f3a23122-f713-4f5c-aa88-5e73275ff5f6">IOC-XXIX/2Annex 14, IOC/EC-LI/2 Annex 6</a> provides guidelines for the collection of measurements towards the Indicator. Data and metadata files in which all of the relevant measurements should be compiled will be provided to the data centre or data originator. This data will be collected by the relevant national data centers, such as National Statistical Offices (NSOs) and National Oceanographic Data Centers (NODCs), and shared with the Indicator&#x2019;s custodian agency, the IOC of UNESCO<sup><a href="#footnote-4" id="footnote-ref-4">[3]</a></sup>. </p>
<p>Table 1 comprises an overview of statements on best practice and links to several Standard Operating Procedures (SOPs). These procedures represent the best practices compiled by the leading researcher in the field and have been made freely available. A list of relevant material, as referenced in the Indicator Methodology, can be found here: <a href="http://www.ioccp.org/index.php/documents/standards-and-methods">http://www.ioccp.org/index.php/documents/standards-and-methods</a></p>
<p>The collection of samples followed by their analysis according to the methods and standards included in the SDG 14.3.1 Indicator Methodology is of the greatest importance for the production of data that can be collated towards the global comparison of ocean acidification data of known quality under this indicator. Guidance on how to collect, analyse and manage the data is provided in the methodology and associated metadata and its metadata instruction file. </p>
<p>The document <a href="https://unesdoc.unesco.org/ark:/48223/pf0000265127?3=null&amp;queryId=f3a23122-f713-4f5c-aa88-5e73275ff5f6">IOC-XXIX/2Annex 14, IOC/EC-LI/2 Annex 6</a> further provides guidance on sampling strategies, sampling frequencies, recommendations for calculation of the carbonate system and uncertainty of measurement.</p><div class="footnotes"><div><sup class="footnote-number" id="footnote-4">3</sup><p> IOC-XXIX/2Annex 14, IOC/EC-LI/2 Annex 6 <a href="#footnote-ref-4">&#x2191;</a></p></div></div>
 
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<p>Every country or nominated IODE National Oceanographic Data Centre (NODC)/Associated Data Unit (ADU)<sup><sup><a href="#footnote-3" id="footnote-ref-3">[2]</a></sup> </sup>will provide annually updated data sets. Aggregations across regions will require data of comparable quality and all relevant metadata with site-specific information be included in the data sets. Due to the variability of measurements and the prevalence of areas with high variability in ocean acidity, the aggregation of measurement averages (equally weighed annual mean) across coastal marine habitat and ecosystem types is difficult to interpret and is therefore discouraged. </p><div class="footnotes"><div><sup class="footnote-number" id="footnote-3">2</sup><p> https://www.iode.org/index.php?option=com_oe&amp;task=viewGroupRecord&amp;groupID=349 <a href="#footnote-ref-3">&#x2191;</a></p></div></div>
 
2 years ago
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