Original DOI Research Articles

The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product

Abstract. The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2023 is an update of the previous version, GLODAPv2.2022 (Lauvset et al., 2022). The major changes are as follows: data from 23 new cruises were added. In addition, a number of changes were made to the data included in GLODAPv2.2022. GLODAPv2.2023 includes measurements from more than 1.4 million water samples from the global oceans collected on 1108 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, chlorofluorocarbon-11 (CFC-11), CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on the systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 23 new cruises were derived by comparing those data with the data from the 1085 quality-controlled cruises in the GLODAPv2.2022 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2), chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data-handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments. The original data, their documentation, and DOI codes are available at the Ocean Carbon and Acidification Data System of NOAA National Centers for Environmental Information (NCEI), which also provides access to the merged data product. This is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/zyrq-ht66 (Lauvset et al., 2023). These bias-adjusted product files also include significant ancillary and approximated data, which were obtained by interpolation of, or calculation from, measured data. This living data update documents the GLODAPv2.2023 methods and provides a broad overview of the secondary quality control procedures and results.

FRONTLINE: ‘Voice of the voiceless’: The Pacific Media Centre as a case study of academic and research advocacy and activism

For more than a decade, the pioneering Pacific Media Centre at Aotearoa’s Auckland University of Technology led the way in journalism research and publication, publishing the globally ranked peer-reviewed journal Pacific Journalism Review, monographs, and a series of media and social justice books and documentaries. Perhaps even more important was the centre’s role in nurturing young and challenging Asia-Pacific student journalists and communicators seeking social change and providing them with the opportunity, support, and encouragement to enable them to become confident changemakers and community advocates. This article is a case study of a style of academic advocacy and activism that was characterised by its own multiethnic stakeholders’ advisory board as ‘the voice of the voiceless’. A feature was the ‘talanoa journalism’ model (Robie, 2014), focused more on grassroots people and community resilience, especially faced with the global COVID-19 pandemic and climate crisis. The inspired initiative ended with a change of management to a more neoliberal approach to education at the university with scant appreciation for the vision.
 Original DOI as published in the Okinawan Journal of Island Studies (Japan):https://doi.org/10.24564/0002019736

GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product

Abstract. The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical bottle data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2022 is an update of the previous version, GLODAPv2.2021 (Lauvset et al., 2021). The major changes are as follows: data from 96 new cruises were added, data coverage was extended until 2021, and for the first time we performed secondary quality control on all sulfur hexafluoride (SF6) data. In addition, a number of changes were made to data included in GLODAPv2.2021. These changes affect specifically the SF6 data, which are now subjected to secondary quality control, and carbon data measured on board the RV Knorr in the Indian Ocean in 1994–1995 which are now adjusted using certified reference material (CRM) measurements made at the time. GLODAPv2.2022 includes measurements from almost 1.4 million water samples from the global oceans collected on 1085 cruises. The data for the now 13 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, chlorofluorocarbon-11 (CFC-11), CFC-12, CFC-113, CCl4, and SF6) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but converted to World Ocean Circulation Experiment (WOCE) exchange format and (ii) as a merged data product with adjustments applied to minimize bias. For the present annual update, adjustments for the 96 new cruises were derived by comparing those data with the data from the 989 quality-controlled cruises in the GLODAPv2.2021 data product using crossover analysis. SF6 data from all cruises were evaluated by comparison with CFC-12 data measured on the same cruises. For nutrients and ocean carbon dioxide (CO2) chemistry comparisons to estimates based on empirical algorithms provided additional context for adjustment decisions. The adjustments that we applied are intended to remove potential biases from errors related to measurement, calibration, and data handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5 % in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete CO2 fugacity (fCO2), were not subjected to bias comparison or adjustments. The original data, their documentation, and DOI codes are available at the Ocean Carbon and Acidification Data System of NOAA NCEI (https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/GLODAPv2_2022/, last access: 15 August 2022). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/1f4w-0t92 (Lauvset et al., 2022). These bias-adjusted product files also include significant ancillary and approximated data, which were obtained by interpolation of, or calculation from, measured data. This living data update documents the GLODAPv2.2022 methods and provides a broad overview of the secondary quality control procedures and results.

RETRACTED: “I am not alone – we are all alone: Using masturbation as an ethnographic method in research on shota subculture in Japan”

Karl Andersson. I am not alone – we are all alone: Using masturbation as an ethnographic method in research on shota subculture in Japan [published online first April 26, 2022]. Qualitative Research. 2022. Original doi: 10.1177/14687941221096600 Due to ethical concerns surrounding this article and the social harm being caused by the publication of this work, the publishers have now agreed with the Journal Editors and have decided to remove the article while this investigation is ongoing in accordance with COPE guidelines.

Challenges made by the pandemic in Georgian business and Opportunities to overcome them

Author: Manana Kharkheli, Mikheil Makasarashvili, Peer review method: Double-Blind Accepted: February 03, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.01

World economic sanctions, reality, real consequences

Author: Lasha Tabatadze, Peer review method: Double-Blind Accepted: March 15, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.02

The Factors Causing the Economic and Financial Crisis in Georgia and the COVID-19 Results

Author: Paata Kunchulia, Peer review method: Double-Blind Accepted: March 17, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.05

On Some Modern Directions for the Economics Research

Author: Gia Kvashilava, Peer review method: Double-Blind Accepted: January 11, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.08

"Lazarus" by Nino Darbaiseli (Mysterious episode and Ekfras sample)

Author: Khatuna Burchuladze, Peer review method: Double-Blind Accepted: March 23, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.09

Transparency and efficiency of public financial management

Author: Mariam Girsiashvili, Zurab Aznaurashvili, Peer review method: Double-Blind Accepted: February 11, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.06

The Covid-19 Pandemic and the Challenges of Organizational Change

Peer review method: Double-Blind Accepted: February 19, 2022 Published: April 04, 2022 Original scientific article DOI: https://doi.org/10.52340/tne.2022.17.1.07 <i>Business is an important element of a country’s economy. The level of business development gives us an idea of the country’s economic well-being and other macroeconomic indicators. Businesses and their functioning are particularly affected by ongoing processes in the country or in the world. As the environment is constantly changing, timely and specific organizational changes play a special role in the activities of companies.</i> <i>Covid pandemic has had a significant impact on the performance of companies. Restrictions imposed by the government have created some difficulties for the business sector. Lots of companies closed, some were able to and continued to operate. With all of this in mind, implementing organizational transformations has become critically important.</i> <i>The article focuses on the effects of pandemics, the growing role of organizational change in the co-pandemic period, as well as the challenges of change and the approaches used to overcome them. At the same time, the article discusses the challenges facing the company JSC “healthy Water” during the organizational changes.</i> <b>REFERENCES:</b> Dikhaminjia, I. (2019). Strategies for Implementing Change. <i>Business &amp; Law, 1</i> (4), 41-44. Robins, S. P., &amp; Coulter, M. (2019). <i>Management</i> (12th ed.). Tbilisi: TSU Publishing. Williams, K., Shermandini, T., Cholokashvili, N., &amp; Gogatadze, A. (2020). Georgian Business in the face of Covid-19 Pandemic. PwC-PricewaterhouseCoopers. George, J. M., &amp; Jones, G. R. (2012). <i>Understanding and Managing Organizational Behavior</i> (6th ed.). New Jersey: Pearson Education.

GLODAPv2.2019 – an update of GLODAPv2

Abstract. The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of water samples. This update of GLODAPv2, v2.2019, adds data from 116 cruises to the previous version, extending its coverage in time from 2013 to 2017, while also adding some data from prior years. GLODAPv2.2019 includes measurements from more than 1.1 million water samples from the global oceans collected on 840 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control, especially systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 116 new cruises with the data from the 724 quality-controlled cruises of the GLODAPv2 data product. They correct for errors related to measurement, calibration, and data handling practices, taking into account any known or likely time trends or variations. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1 % in oxygen, 2 % in nitrate, 2 % in silicate, 2 % in phosphate, 4 µmol kg−1 in dissolved inorganic carbon, 4 µmol kg−1 in total alkalinity, 0.01–0.02 in pH, and 5 % in the halogenated transient tracers. The compilation also includes data for several other variables, such as isotopic tracers. These were not subjected to bias comparison or adjustments. The original data, their documentation and DOI codes are available in the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2019/, last access: 17 September 2019). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/xnme-wr20 (Olsen et al., 2019). The product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This paper documents the GLODAPv2.2019 methods and provides a broad overview of the secondary quality control procedures and results.

Corrigendum

Agnihotri, A., &amp; Verma, R. (2016). Design-based Approach in Social Science Research. Studies in Indian Politics, 4(2), 241–248. (Original DOI: 10.1177/2321023016665537 ) On page 246, in sub-section Instrumental Variable Approach, in the line: ‘However, the claim of causality rests on using an ‘instrument’ that is randomly assigned (or is ‘as-if’ random) and is correlated with the treatment variable while being independent of the outcome.’, the word ‘outcome’ should be read as ‘error term’. The error is deeply regretted.

Rheology and Entanglement Structure of Well-Entangled Polymer Melts: A Slip-Link Simulation Study

We have extended the slip-link model originally developed by Doi and Takimoto [Philos. Trans. R. Soc. London, A 2003, 361, 641] to calculate fast shear and uniaxial elongational flows. The original Doi–Takimoto (DT) model shows that steady elongational viscosity increases when the elongational strain rate is larger than WiR(e) > 1, which is not observed in experiments for entangled polymer melts. To improve the predictions of the DT model, we have extended the DT model by incorporating the stretch/orientation-induced reduction of friction (SORF) developed by Yaoita et al. [Macromolecules 2012, 45, 2773]. Consequently, we can successfully reproduce thinning behavior in steady uniaxial elongational viscosities for fast flows WiR(e)>1. Through use of a decoupling approximation, we have found that the reduction of chain stretch has a major effect on the thinning behavior in the strain rate region WiR(e)>1 when employing SORF. Meanwhile, under shear flows, the effect of SORF can be observed in a relatively hig...

Corrigendum: Treatment-refractory paraneoplastic opsoclonus-myoclonus syndrome in a patient with small cell carcinoma of the lung.

Alkan A, Cenikli U, Uylaş S, Yilmaz M, Çakir T, Çetinkaya H, Kiran A and Tanriverdi O (2019). Treatment-refractory paraneoplastic opsoclonus-myoclonus syndrome in a patient with small cell carcinoma of the lung: Journal of Oncology Pharmacy Practice. E-pub Feb 2019 (Original DOI: 10.1177/1078155219831366). In the above referenced article, the following author was missed from the title: Gülnihal Kutlu. The Correct author list should read: Alkan A, Cenikli U, Uylaş S, Yilmaz M, Çakir T, Çetinkaya H, Kiran A, Kutlu G and Tanriverdi O (2019).

Erratum

[This corrects the article DOI: 10.1177/2325967118786960.].

Corrigendum

Kiefner, J., Cogan, R., &amp; Conway, S. M. (2018). Power of the past, celebrate the present, force of the future part 2. Our story–NASN’s second 25 years. NASN School Nurse. 33(5), 298-308. (Original DOI: 10.1177/1942602X18792287) NASN Past-president Carol Constante’s theme was incorrectly presented as “Supporting School Success: School Nurses Make a Difference” instead of “Supporting Student Success: School Nurses Make a Difference” both in the table presented on page 300 and in the text on page 302. Indeed, “Supporting Student Success” was a tag line used by NASN for many years after Carol’s presidency.

Erratum.

Kozlowski, C., Brumm, J., and Cain, G. (2018). An Automated Image Analysis Method to Quantify Veterinary Bone Marrow Cellularity on H&E Sections. Tox Path46, 324-335. (Original DOI: 10.1177/0192623318766457). Kozlowski, C., Fullerton, A., Cain, G., Katavolos, P., Bravo, J., and Tarrant, J. M. (2018). Proof of Concept for an Automated Image Analysis Method to Quantify Rat Bone Marrow Hematopoietic Lineages on H&E Sections. Tox Path46, 336-347. (Oringinal DOI: 10.1177/0192623318766458). In the print issue and initial version of the online issue, the figures for Kozlowski, Brumm, and Cain were mistakenly placed into Kozlowski, Fullerton, et al., and vice versa. The online versions of both articles have been updated to display the appropriate figures.

Corrigendum

McCarty, T. L. (2018). Twelfth Annual Brown Lecture in Education Research: So that any child may succeed: Indigenous pathways toward justice and the promise of Brown. Educational Researcher, 47(5), 271–283. (Original DOI: 10.3102/0013189X18768549 ) In this article in the June/July 2018 issue of Educational Researcher, references to Tuck and Wang (2014) should have been to Tuck and Yang (2014). The corrected reference appears below. The author sincerely apologizes for this error. Tuck, E., &amp; Yang, K. W. (2014). R-words: Refusing research. In D. Paris &amp; M. T. Winn (Eds.), Humanizing research: Decolonizing qualitative inquiry with youth and communities (pp. 223–247). Los Angeles, CA: SAGE.

Corrigendum

Kromka W, Cameron M, Fathi R. Tie-over bolster dressings vs basting sutures for the closure of full-thickness skin grafts: a review of the literature. J Cutan Med Surg. 2018. Original DOI: 10.1177/1203475418782152.