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60 results for “Marginal sea”

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zenodo44/100

Models of the early diagenesis of neodymium and its radiogenic isotope at deep-sea site HH3000, Oregon margin, Northeast Pacific

<p>Outputs of the early diagenetic model for neodymium and its radiogenic isotope at deep sea station HH3000 (3060 m, 43&deg;52&#39;N,&nbsp;125&deg;38&#39;W) from the Oregon margin, Northeast Pacific.</p> <p>Three types of models are included, and the files are named as following:</p> <p>1. Baseline simulations, &quot;HH3000Nd.baseline.copre_output.xlsx&quot; for the co-precipitation formulation, and &quot;HH3000Nd.baseline.revscan_output.xlsx&quot; for the reversible scavenging formulation.</p> <p>2. Sensitivity tests of silicate dissolution rate: &quot;HH3000Nd.{<em>mineral</em>}.{<em>dissolution rate</em>}_output.xlsx&quot;, where {<em>mineral</em>} can be &quot;Basalt&quot;, &quot;Plag&quot; (plagioclase), &quot;Cpx&quot; (clinopyroxene) or &quot;Chl&quot; (chlorite), and {<em>dissolution rate</em>} can be &quot;1e0&quot; to &quot;1e5&quot;, referring to the order of magnitude reduction of dissolution rate relative to the laboratory-derived rates.</p> <p>3. Sensitivity tests of authigenic clay precipitation rate: &ldquo;HH3000Nd.basalt.{<em>precipitation rate</em>}.illite_output.xlsx&quot;, where &quot;{<em>precipitation rate</em>}&quot; can be &quot;no&quot;, &quot;slow&quot;, &quot;normal&quot;, or &quot;fast&quot;.</p> <p>Explanations of the modeled variables in the above files can be found in &quot;model variable note.xlsx&quot;.</p>

opencc-by-4.0Aug 2022View details →
zenodo44/100

Geophysical and physical oceanography data and acoustic facies mapping results of the Central Basin in the northwestern Ross Sea margin, Antarctica

<p>Multi-channel seismic (MCS), sub-bottom profiler (SBP), multi-beam echosounder (MBES)&nbsp;and expandable conductivity-temperature-depth&nbsp;(XCTD) data and acoustic facies mapping results of the Central Basin in the northwestern Ross Sea margin, Antarctica. The Coordinate Reference System (CRS) for the MCS, SBP, MBES data and acoustic mapping results is WGS 84 / Antarctic Polar Stereographic (EPSG:3031).&nbsp;). The geophysical data (MCS, SBP, MBES) and oceanographic measurements (XCTD) collected by the RV <em>Araon</em> are provided by the Korea Polar Data Center (<a href="https://kpdc.kopri.re.kr">https://kpdc.kopri.re.kr</a>).</p>

opencc-by-4.0Dec 2022View details →
zenodo44/100

Climatological maps of sea ice variability for the Antarctic marginal ice zone

<p>Monthly climatologies of a&nbsp;statistical indicator of sea ice variability&nbsp;computed from daily maps of sea ice concentration (SIC) from satellites (Vichi, 2022).&nbsp;The sigma_SIA&nbsp;indicator is based on the standard deviation of SIC daily anomalies computed over<br> the monthly time scales, using a monthly climatology over the period 1989-2019 as the baseline. The analysis starts from year 1989 since before that period data were every second day.</p> <p><strong>Please use the most updated version of this dataset and cite the main DOI unless required</strong></p> <p>The following files have been derived from NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4 (<a href="https://doi.org/10.7265/efmz-2t65">https://doi.org/10.7265/efmz-2t65</a>&nbsp;and used in Vichi (2022). The code to produce them is available at the following repository <a href="https://github.com/mvichi/antarcticMIZ">https://github.com/mvichi/antarcticMIZ</a>&nbsp;(<a href="https://doi.org/10.25375/uct.21103363">DOI:10.25375/uct.21103363</a>)&nbsp;&nbsp;</p> <ol> <li><strong>NSIDC_cdr_clim_m_sigmaSIA.nc</strong>: Climatological monthly sigma_SIA (climatological &#39;pooled&#39; monthly std of daily anomaly) from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration</li> <li><strong>NSIDC_cdr_clim_m_maskMIZ.nc</strong>: Climatological mask of the MIZ extent using a sigma_SIA&gt;0.1&nbsp;criterion</li> <li><strong>NSIDC_cdr_clim_m_sigmaSIA_exceedance.nc</strong>:&nbsp; Climatological probability maps of exceeding sigma_SIA&gt;0.1&nbsp;and sigma_SIA&gt;0.2</li> <li><strong>NSIDC_cdr_m_sigmaSIA.nc</strong>: Monthly sigma_SIA from NOAA/NSIDC CDR V4 Southern Hemisphere Sea Ice Concentration. Please note that file 1&nbsp;above is not the climatology obtained from&nbsp;this file.</li> </ol> <p>NetCDF files 1-3 contain&nbsp;12 monthly arrays with the climatological sigma_SIA computed over the period 1989-2019. Please note that the indicator in these file is in % of SIC, while in the original paper it is presented in fractional units.</p> <p>File 4 has 396 records for&nbsp;all the months in the analyzed period. The units are fractional as in Vichi (2022).</p> <p><strong>Reference</strong></p> <p>Vichi, M.: An indicator of sea ice variability for the Antarctic marginal ice zone, The Cryosphere, 16, 4087&ndash;4106, <a href="https://doi.org/10.5194/tc-16-4087-2022">https://doi.org/10.5194/tc-16-4087-2022</a>, 2022.</p>

opencc-by-4.0Sep 2022View details →
zenodo40/100

Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Winter 2019

<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Winter 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of&nbsp;accompanying photograph figures from which the crystal size and texture are based. &nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019

<p>This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of&nbsp;accompanying photograph figures from which the crystal size and texture are based. &nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Рис. 1. Раковины Mya truncata (А–Г) (Белое море) и Laternula elliptica (А'–Г') (Зал. Прюдс): А, А' – обЩий вид; Б, Г' – внутреннЯЯ поверхность левых створок; В, В' – вид хондрофора со стороны дорсального краЯ; Г, Б' – внутреннЯЯ поверхность правых створок. ОбоЗначениЯ: пК – передний край раковины; ЗК – Задний край; дК – дорсальный край; м – макушка; мщ – макушечнаЯ (умбональнаЯ) Щель; Кс – концентрическаЯ скульптура; сКп – складки периостракума; хр – хондрофор; ппЛ – поддерживаюЩаЯ пластинка; син – синус; ОмЗ – отпечаток мускула-ЗамыкателЯ. Fig. 1. Shells of Mya truncata (А–Г) (White Sea) and Laternula elliptica (А'–Г') (Prydz Bay): A, A' – general view; Б, Г' – internal view of left valves; В, В' – dorsal view on chondrophores; Г, Б' – internal view of right valves. Notes: пК – anterior margin; ЗК – posterior margin; дК – dorsal margin; м – umbo; мщ – umbonal crack; Кс – concentric sculpture; сКп – periostracal wrinkles; хр – chondrophore; ппЛ – buttress; син – sinus; ОмЗ – trace of retractor muscle. in Species of warm-water origin Laternula elliptica (King, 1832) (Mollusca: Bivalvia: Laternulidae), a widespread mollusk in recent Antarctica

Рис. 1. Раковины Mya truncata (А–Г) (Белое море) и Laternula elliptica (А'–Г') (Зал. Прюдс): А, А' – обЩий вид; Б, Г' – внутреннЯЯ поверхность левых створок; В, В' – вид хондрофора со стороны дорсального краЯ; Г, Б' – внутреннЯЯ поверхность правых створок. ОбоЗначениЯ: пК – передний край раковины; ЗК – Задний край; дК – дорсальный край; м – макушка; мщ – макушечнаЯ (умбональнаЯ) Щель; Кс – концентрическаЯ скульптура; сКп – складки периостракума; хр – хондрофор; ппЛ – поддерживаюЩаЯ пластинка; син – синус; ОмЗ – отпечаток мускула-ЗамыкателЯ. Fig. 1. Shells of Mya truncata (А–Г) (White Sea) and Laternula elliptica (А'–Г') (Prydz Bay): A, A' – general view; Б, Г' – internal view of left valves; В, В' – dorsal view on chondrophores; Г, Б' – internal view of right valves. Notes: пК – anterior margin; ЗК – posterior margin; дК – dorsal margin; м – umbo; мщ – umbonal crack; Кс – concentric sculpture; сКп – periostracal wrinkles; хр – chondrophore; ппЛ – buttress; син – sinus; ОмЗ – trace of retractor muscle.

opencc-by-4.0Dec 2019View details →
zenodo40/100

Figure 3 in Deep-sea majoid crabs of the genera Oxypleurodon and Rochinia (Crustacea: Decapoda: Brachyura: Epialtidae) mostly from the continental margin of Western Australia

Figure 3. Rochinia annae sp. nov. Male left pleopod 1 (paratype WAM C400531). a, anterior view. b, detail of tip, anterior view. c, detail of tip, posterior view.

opencc-by-4.0Dec 2008View details →
zenodo40/100

Figure 1 in Deep-sea majoid crabs of the genera Oxypleurodon and Rochinia (Crustacea: Decapoda: Brachyura: Epialtidae) mostly from the continental margin of Western Australia

Figure 1. Lateral and dorsal views, scale = 5 mm. a, Oxypleurodon luzonicum (female, NMV J58221). b, Oxypleurodon wilsoni sp. nov. (holotype, WAM C400259). c, Rochinia annae sp. nov. (holotype, WAM C400531). d, Rochinia carinata (male, NMV J53872).

opencc-by-4.0Dec 2008View details →
zenodo40/100

Figure 2 in Deep-sea majoid crabs of the genera Oxypleurodon and Rochinia (Crustacea: Decapoda: Brachyura: Epialtidae) mostly from the continental margin of Western Australia

Figure 2. Lateral and dorsal views, scale = 5 mm. a, Rochinia fultoni (female, NMV J4730). b, Rochinia pulchra (female, NMV J55947). c, Rochinia sibogae (male, NMV J58142). d, Rochinia strangeri (female, NMV J55427).

opencc-by-4.0Dec 2008View details →
zenodo40/100

Lower crustal extrusion in the distal continental margin of the South China Sea_SI_v2

<p>Supporting documents for submitted articles</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Fig. 7. Zoopilus echinatus. A fragment with regenerated margins from Silk Rock, 10 m depth, 21 October 2008, Coll. L. Devantier. A in The mushroom coral fauna (Scleractinia: Fungiidae) of Brunei Darussalam (South China Sea) and its relation to the Coral Triangle

Fig. 7. Zoopilus echinatus. A fragment with regenerated margins from Silk Rock, 10 m depth, 21 October 2008, Coll. L. Devantier. A, upper surface; B, lower surface. Scale bar = 0.5 cm.

opencc-by-4.0Aug 2014View details →
zenodo40/100

Direct observations of wave-sea ice interactions in the Antarctic Marginal Ice Zone

<p>These are the data used in the analysis and creation of figures in S. Wahlgren, L.C. Biddle, J. Thomson and S. Swart: <em><strong>Direct observations of wave-sea ice interactions in the Antarctic Marginal Ice Zone</strong> </em>[Submitted]. Preprint: https://doi.org/10.22541/essoar.168201718.84053333/v1</p> <p>Abstract:</p> <p>Wave energy propagating into the Antarctic marginal ice zone affects the quality and extent of the sea ice, and wave propagation is therefore an important factor for understanding and predicting changes in sea ice cover. Sea ice is notoriously hard to model and&nbsp; in-situ observations of wave activity in the Antarctic marginal ice zone are scarce, due to the extreme conditions of the region. Here, we provide new in-situ data from two drifting Surface Wave Instrument Float with Tracking (SWIFT) buoys deployed in the Weddell Sea in the austral winter and spring in 2019. The buoy location ranges from open water to more than 200 km into the sea ice. We estimate the attenuation of swell with wave periods 8-18 s, and find an attenuation coefficient <em>&alpha; = </em>4&middot;10<sup>-6</sup> to 7&middot;10<sup>-5</sup> m<sup>-1</sup> in spring, and approximately five-fold larger in winter. The attenuation coefficients show a power law frequency dependence, with power coefficient 3.3 in spring and 4 in winter. The in-situ data also shows a change in wave direction, where wave direction tends to be more perpendicular to the ice edge farther into the sea ice. A possible explanation for this might be a change in the dispersion relation caused by changing sea ice composition. These observations can help shed further light on the influence of sea ice on waves propagating into the Marginal Ice Zone, aiding development of coupled wave-sea ice models.</p> <p><strong>Related code:&nbsp;</strong> The accompanying code can be found at <strong> </strong>https://github.com/stinawahlgren/roammiz-wave-seaice-interactions. SWIFT buoy data has been processed using https://github.com/SASlabgroup/SWIFT-codes.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Ocean bottom seismometer data of the OBS2020-1 profile at the northern continental margin of the South China Sea

<p>&nbsp;Ocean bottom seismometer hydrophone data in SEG-Y format of 11 OBS stations along the OBS2020-1 profile and travel times used for the forward modeling and tomographic inversion. The travel times include the primary phases and secondary phases which are seawater layer multiples at the receiver side. Meanwhile, the OBS locations are also submitted to this repository.</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Marinoan Snowball Earth: The Impact of Deglaciation Duration on the Sea-Level History of Continental Margins

<p>Paleogeographies, ice histories, and predicted relative sea level output are available here as Matlab (.mat) files. Complementary text (.txt) files are included for latitude, longitude, and time. For different file formats or any questions to their use, please contact the corresponding author, Freya K Morris at: morrisfreya15@outlook.com</p>

opencc-by-4.0Jan 2025View details →
zenodo36/100

Sea-ice, primary productivity and ocean temperatures at the Antarctic marginal zone during late Pleistocene

<p>These data in excel refer to all proxies used to reconstruct late Quaternary sea ice and productivity in in cape Adare, Ross Sea, Antarctica, for the publication in Quaternary Science Reviews, for open access&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

CDOM spectral slope (S275-295) as tracers of water masses, CDOM heterogeneity, and 14C-DOC in an oligotrophic marginal sea

<p>The present study is focused on the CDOM vertical profiles in the northern South China Sea. The results suggest humic-like FDOM is controlling the variation of the spectral slope of CDOM (<em>S</em><sub>275-295</sub>). In addition, our results suggest&nbsp;<em>S</em><sub>275-295</sub>&nbsp;could be used as tracers of water mass, CDOM diversity and radiocarbon age of dissolved organic carbon in oligotrophic ocean.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part I

<p>Data behind the figures in the article; 4D potential temperature and salinity in Weddell region for reference experiments REF and H20C, and reversal experiments R_ERA and R_H20C.</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Data for: Stable isotopes in eye lenses reveal migration and mixing patterns of diamond squid in the western North Pacific and its marginal seas

<p><span>Knowledge of the movements of marine organisms is essential for effective conservation schemes. Here, we investigated the lifetime habitat use of diamond squid, <em>Thysanoteuthis</em> <em>rhombus</em>, collected in the western North Pacific and its marginal seas (the Sea of Japan and the East China sea) during 2021–2022, whose migratory ecology is poorly known, using bulk stable nitrogen and carbon isotope ratios in eye lenses. From the eye lens isotope profiles, the chronology of the isotopic baseline of squid habitat was estimated by removing the effect of size-dependent changes of trophic position. Then, the baseline estimates were compared to the isoscapes of particulate organic matter. The baseline chronologies showed fluctuations during the paralarval and juvenile stages, becoming stable during the adult stage, suggesting that significant movements mainly occur during the early life stages due to current transport, with adults potentially not undertaking long-distance migrations. The squids in the marginal seas mostly originated from outside the subtropical gyre, while the squids in the subtropical gyre had various sources, including outside the gyre and southern and northern parts within the gyre, revealing a complex mixing pattern of the species. These results show that isotope chronology combined with baseline isoscapes are effective tools to understand animal migrations, which can help to manage various cephalopods and fishes.</span></p>

opencc-zeroOct 2023View details →
dryad36/100

Data for: Stable isotopes in eye lenses reveal migration and mixing patterns of diamond squid in the western North Pacific and its marginal seas

Open the record for dataset details and reuse information.

publicOct 2023View details →
zenodo32/100

FIGURE. 5 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin

FIGURE. 5 Pictorial key to species of the genus Spinonema Larrazábal-Filho et al., 2019 (A) Spinonema absente LarrazábalFilho et al., 2019, (B) Spinonema spirale Larrazábal-Filho et al., 2019, (C) Spinonema cuticulatum Larrazábal-Filho et al., 2019, (D) Spinonema gracilispiculum sp. n.

opennotspecifiedNov 2020View details →

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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dandi-nwb
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Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record

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