reapxdev/zenodo-scraper huggingface dataset:
A framework for implementing structural integrity management of an aging fixed offshore platform using wave modeling for risk-based underwater inspection
Authors: Alizadeh, Alireza, Daghigh, Mohammad, Bali, Meysam, Golpour, Hamid, Kazeminezhad, Mohammad Hossein
Type: Journal article
Published: 2024-10-01
Keywords: Offshore jacket platform, Structural integrity management, Risk assessment, Health and safety executive, Wave modeling, WAVEWATCH III, Risk-based underwater inspection

<div class="u-margin-s-bottom">Offshore platforms have become lucrative in the <a class="topic-link" href="https://www.sciencedirect.com/topics/engineering/petroleum-industry">oil and gas industries</a> due to their capabilities, which are exposed to harsh environmental hazards that affect the Structural Integrity.</div>
<div class="u-margin-s-bottom">The scope of this study represents a risk assessment strategy for evaluating the structural integrity and proposed a framework for the Risk-Based <a class="topic-link" href="https://www.sciencedirect.com/topics/engineering/underwater-inspection">Underwater Inspection</a> to implement Structural Integrity Management for a fixed offshore jacket platform.</div>
<div class="u-margin-s-bottom">The jacket platform is adopted for the Non-linear Quasi-Static Analysis (Push-over) using relevant code criteria. Regarding the required site-specific meteorological and <a class="topic-link" href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/oceanographic-parameter">oceanographic parameters</a>, wave is simulated using WAVEWATCH III, third-generation version 4.18, considered input data and uncertain parameters.</div>
<div class="u-margin-s-bottom">The Long-Term Load <a class="topic-link" href="https://www.sciencedirect.com/topics/engineering/distribution-parameter">Distribution parameters</a> are localized to determine the Probability of Failure due to the extreme wave loading action, and the platform structural damage rate is obtained by referring to the latest available underwater inspection carried out in the understudied oilfield. Moreover, the platform's structural failure may lead to safety, environmental, and economic impacts, which are the essential factors for evaluating the Consequence of Failure.</div>
<div class="u-margin-s-bottom">Finally, the risk level is estimated by ranking the Probability and Consequences of Failure in the <a class="topic-link" href="https://www.sciencedirect.com/topics/engineering/risk-matrix">risk matrix</a>, and resulting from the risk analysis, the framework for the Risk-Based <a class="topic-link" href="https://www.sciencedirect.com/topics/engineering/underwater-inspection">Underwater Inspection</a> is carried out.</div>
A 5-year Validated Nitrate Dataset from the Ocean Observatories Initiative Pioneer - New England Shelf Array
Authors: Reed, Andrew
Type: Dataset
Published: 2026-07-27
Keywords: Ocean Observatories Initiative, OOI, Nitrate, SUNA, Pioneer - New England Shelf

<p>The Ocean Observatories Initiative (OOI) deployed both the In-Situ Ultraviolet Spectrophotometer (ISUS) and Submersible Underwater Nitrate Sensor (SUNA) for continuous, in-situ measurement of nitrate. At the Pioneer-New England Shelf Array (Pioneer-NES), ISUS/SUNA sensors were deployed at 7-meters depth at the Inshore (ISSM), Central (CNSM), and Offshore (OSSM) Surface Mooring locations. The SUNA sensor replaced the ISUS sensors spring 2018. The SUNA was a major improvement in technology, with significant improvements in accuracy and precision. However, it still suffers from calibration drift due to lamp fatigue and biofouling as well as spectral interference due to bromide and fluorometric CDOM. Drift is corrected by application of post-cruise calibrations to recalculate the temperature-and-salinity corrected nitrate concentration following Sakamoto (2009a) and estimating a linear drift between pre-and-post cruise deployments. Validation is performed by comparison with discrete water samples collected during deployment/recovery of the sensors. These datasets include the nitrate data from the Pioneer-NES ISSM (CP03ISSM-RID26-07-NUTNRB000.nc), CNSM (CP01CNSM-RID26-07-NUTNRB000.nc), and OSSM (CP04OSSM-RID26-07-NUTNRB000.nc) SUNA instruments spanning Spring 2018 through Fall 2022. Each dataset contains the measured nitrate, the temperature-salinity corrected nitrate, the drift-corrected nitrate, and the nitrate following validation with bottle samples.</p>
Southern Ocean Diatom Model Output
Authors: Wrightson, Lewis, Follett, Christopher, Marchetti, Adrian, Ryan-Keogh, Thomas, Sunda, William G., Zepernick, Brittany N, Hutchins, David A., Tagliabue, Alessandro
Type: Dataset
Published: 2026-07-24

<p>This archive contains output from the <strong>PISCES‑QUOTA P7Z</strong> model, which includes an explicit Southern Ocean diatom ecotype parameterised using observed photophysiological traits: a <strong>larger photosynthetic antenna</strong>, <strong>proton‑pumping rhodopsin (PPR)</strong> as an alternative energy‑generating mechanism, and <strong>enhanced photosystem repair</strong>. The version of the model used in this study is available at: <a href="https://github.com/lewiswrightson/PISCES-QUOTA-P7Z">https://github.com/lewiswrightson/PISCES-QUOTA-P7Z</a>.</p>
<p>The dataset provides model output from two forcing scenarios:</p>
<ul>
<li>
<p><strong>Contemporary simulations</strong> (contemporary_output)</p>
</li>
<li>
<p><strong>IPCC RCP8.5 high‑emissions scenario</strong> (histRCP)</p>
</li>
</ul>
<p>For the RCP8.5 scenario, output is supplied for two representative 10‑year periods: <strong>1996–2005</strong> (historical baseline) and <strong>2091–2100</strong> (end‑of‑century). Each period includes both <strong>annual‑resolution output</strong> and <strong>5‑day averaged fields</strong>.</p>
<p>Four sensitivity experiments are included:</p>
<ol>
<li>
<p><strong>Control</strong> – No traits enabled; Southern Ocean and Temperate diatoms are identical.</p>
</li>
<li>
<p><strong>Antenna</strong> – Southern Ocean diatom has an enlarged photosynthetic antenna.</p>
</li>
<li>
<p><strong>AntPPR</strong> – Southern Ocean diatom has a larger antenna plus proton‑pumping rhodopsin.</p>
</li>
<li>
<p><strong>All Traits</strong> – Southern Ocean diatom has a larger antenna, PPR, and photosystem repair capability.</p>
</li>
</ol>
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<p> </p>