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86 results for “Cold-water corals”

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zenodo28/100

Figure 2 in Benthic invertebrates associated with subfossil cold-water coral frames and hardgrounds in the Albanian deep waters (Adriatic Sea)

Figure 2. Siphonidium ramosum (Schmidt, 1870): a) specimen collected at AL15SE1; b) skeleton formed by extremely compacted rhizoclones; c 1, c 2, c 3, c 4) rhizoclone desmas; d) general view of the framework of spiny rhizoclone desmas; e 1, e 2, e 3) detail of contacts between adjacent desmas; f) heads of exotylostyles.

opencc-by-4.0Jul 2018View details →
zenodo28/100

FIGURE 7 in A new amphipod species of the bathyal genus Dautzenbergia Chevreux, 1900 (Amphipoda, Calliopioidea, Pontogeneiidae) associated with cold-water corals off Angola

FIGURE 7. Dautzenbergia concavipalma sp. nov., Holotype, male, 11 mm (CMNC 2022-4376).

opennotspecifiedNov 2022View details →
dryad28/100

Cold-water coral assemblages on vertical walls: distribution patterns from the Northeast Atlantic

Open the record for dataset details and reuse information.

publicNov 2020View details →
zenodo24/100

Global Habitat Suitability for Framework-Forming Cold-Water Corals - Environmental Data

<p>Environmental data layers used in the production of global habitat suitability models for several species of Scleractinian corals from the publication:</p> <p><strong>Davies, A.J. &amp; Guinotte, J.M. (2011) Global Habitat Suitability for Framework-Forming Cold-Water Corals.&nbsp;PLoS ONE 6(4): e18483. doi:10.1371/journal.pone.0018483</strong></p> <p>Files are&nbsp;ASCII raster layers, zipped&nbsp;using 7zip. Each raster has a WGS 1984 coordinate system.</p> <p>Brief methodology and outline of variables provided are&nbsp;presented below, for full details refer to the above manuscript in PLoS ONE:</p> <p><strong><em>Terrain variables</em></strong></p> <p>Several terrain attributes were extracted from the SRTM30 data (Table 1) following techniques and algorithms described in Wilson et al (2007). Individual approaches are described within the footnote of Table 1, however, briefly the extraction process and description of each variable is described here. Bathymetric position index (BPI) is an approach to determine topographical features based on their relative position within a neighbourhood, and can be calculated over fine or broad scales to capture smaller or larger terrain features respectively. This calculation has been developed into an ArcGIS tool by Wright et al. (2005). Slope was calculated using DEM Tools for ArcGIS developed by Jenness (2012), in particular the 4-cell method of calculating slope, which is accepted as the most accurate approach (Jones 1998). In this manuscript, slope is defined as the gradient in the direction of the maximum slope. Curvature attempts to describe terrain features and may provide an indication of how water would interact with the terrain. In this manuscript, plan and tangential curvature can describe how water would converge or diverge as it flows over relief, whilst profile curvature describes how water would accelerate or decelerate as it flows over relief (Jenness 2012). Aspect is defined as the direction of maximum slope and was converted to continuous radians following Wilson et al. (2007). Rugosity, terrain ruggedness index and roughness all generally describe the variability of the relief of the seafloor (Wilson et al. 2007). Rugosity is defined as the ratio of the surface area to the planar area across a neighbourhood of a central pixel (Jenness 2012). Terrain ruggedness index is defined as the mean difference between a central pixel and its surrounding cells and roughness which is the largest inter-cell difference of a central pixel and its surrounding cell (Wilson et al. 2007).</p> <p><strong><em>Environmental variables</em></strong></p> <p>Environmental variables were created using the variable up-scaling approach presented within (Davies &amp; Guinotte 2011). This approach takes gridded layers of an environmental variable and drapes them over bathymetry to provide an indication of conditions near the seabed, it has been proven to work well over global and regional scales (Davies &amp; Guinotte 2011, Guinotte &amp; Davies 2012). In this manuscript, these environmental layers must be considered as representations of general conditions, as likely, the highly variable topography of the canyon will not yield a good prediction of environmental variables at such a small spatial scale. Limited CTD profiles were collected using a SeaBird 911+, collating data for turbidity (Seapoint, formazin turbidity units), dissolved oxygen (mg L<sup>-1</sup>), depth (m), conductivity (Siemens/m), temperature (&deg;C), salinity, and pH. These casts were compared with the modelled layers (specifically dissolved oxygen, salinity and temperature) to determine their relative accuracy for certain areas of the seafloor</p> <p><strong>Variable name // Filename // Units // Reference (see original paper)</strong></p> <p>Terrain Variables</p> <p>Aspect // aspect // Degree // Jenness (2012)<br> Aspect &ndash; Eastness // eastness // &nbsp;// &nbsp;Wilson et al. (2007)<br> Aspect &ndash; Northness // northness // &nbsp;// Wilson et al. (2007)<br> Bathymetry // srtm30 // m &nbsp;// Becker et al. (2009)<br> Curvature &ndash; Profile // profilecurve // &nbsp;// Jenness (2012)<br> Curvature &ndash; Plan // plancurve &nbsp;// &nbsp;// Jenness (2012)<br> Curvature &ndash; Tangential // tangcurve &nbsp;// &nbsp;// Jenness (2012)<br> Roughness // roughness &nbsp;// &nbsp;// Wilson et al. (2007)<br> Rugosity // rugosity &nbsp;// &nbsp;// Jenness (2012)<br> Slope &nbsp;// slope &nbsp;// Degrees // Jenness (2012)<br> Terrain Ruggedness Index // tri // // &nbsp;Wilson et al. (2007)<br> Topographic Position Index // tpi // &nbsp;// Wilson et al. (2007)&nbsp;</p> <p>Environmental variables<br> Alkalinity // alk_stein // &mu;mol l-1 // Steinacher et al. (2009)<br> Apparent oxygen utilisation // woaaoxu // mol O2 m-3 // Garcia et al. (2006b)<br> Chlorophyll a // modismin, modismean, modismax // mg m-3 // NASA Ocean Color<br> Dissolved inorganic carbon // dic_stein // &mu;mol l-1 // Steinacher et al. (2009)<br> Dissolved oxygen // woadiso2 // ml l-1 // Garcia et al.(2006a)<br> Nitrate // woanit // &mu;mol l-1 // Garcia et al. (2006b)<br> Omega aragonite // arag_stein // &Omega;ARAG // Steinacher et al. (2009)<br> Omega aragonite &nbsp;// &nbsp;arag_orr // &Omega;ARAG // Orr et al. (2005)<br> Omega calcite // calc_stein // &Omega;CALC // Steinacher et al. (2009)<br> Omega calcite &nbsp;// calc_orr // &Omega;CALC // Orr et al. (2005)<br> Percent oxygen saturation // woapoxs // % O2S &nbsp;// Garcia et al. (2006b)<br> Phosphate &nbsp;// woaphos // &mu;mol l-1 // Garcia et al. (2006b)<br> Regional current velocity &nbsp;// regfl // m s-1 // Carton et al. (2005)<br> Salinity // woasal // pss // Boyer et al. (2005)<br> Silicate &nbsp;// woasil // &mu;mol l-1 // Garcia et al. (2006b)<br> Seasonal variation index &nbsp;// lutzsvi // &nbsp;// Lutz et al. (2007)<br> Temperature // woatemp // &deg;C // Boyer et al. (2005)<br> Particulate organic carbon &nbsp;// poc // g Corg m-2 yr-1 // Lutz et al. (2007)<br> Vertical current velocity // &nbsp;vertfl // m s-1 // Carton et al. (2005)<br> Vertically generalised productivity model // vgpmmin, vgpmmean, vgpmmax // mg C m-2 d-1 // Behrenfeld and Falkowski (1997)</p>

opencc-by-4.0Aug 2019View details →
zenodo20/100

FIGURE 3 in A new amphipod species of the bathyal genus Dautzenbergia Chevreux, 1900 (Amphipoda, Calliopioidea, Pontogeneiidae) associated with cold-water corals off Angola

FIGURE 3. Dautzenbergia concavipalma sp. nov., Habitus, photo. Holotype, male, 11 mm (CMNC 2022-4376).

opennotspecifiedNov 2022View details →
zenodo8/100

Vulnerability of six cold-water corals to sediment resuspension from bottom trawling fishing - DATASET

<p>The dataset is related to &quot;Vulnerability of six cold-water corals to sediment resuspension from bottom trawling fishing&quot; research article. The aim of the experiment was to evaluate survival, growth and physiology&nbsp;of six cold-water coral species when exposed to increased suspended sediment concentration (SSC). The treatments are labeled Control, Low SSC and High SSC. The experiment was performed at&nbsp;Institut de Ci&egrave;ncies del Mar (ICM) in Barcelona during&nbsp;9 months.&nbsp;</p> <p>The dataset consists of five sheets in an excel workbook.&nbsp;</p> <ol> <li>Scle_polypN sheet includes scleractinian species polyp numbers at the 0, 4 and 9 months since the start of the experiment.</li> <li>Scle_BW sheet&nbsp;includes&nbsp;scleractinian species buoyant weight in grams measured at 0, 4, 7 and 9 months of the start of the experiment. There are two columns at 9 month, one labeled incubation (when the coral was measured after metabolic incubation) and final (when coral was measured day before the end of the experiment).&nbsp;</li> <li>BC_Gor_Length sheet includes nubbin length data in meters&nbsp;for a black coral (BC) and gorgonian (Gor) measured at 1, 4 and 9 months from the start of the experiment. For each measure error of the scale bar is reported as well.&nbsp;</li> <li>Respiration sheet includes data collected during metabolic incubations performed at 4 and 9 months of the start of the experiment. For scleractinian species it is reported as &micro;mol O2 g<sup>-1</sup>d<sup>-1</sup>&nbsp;and for black coral and gorgonian as &micro;mol O2 cm<sup>-1</sup>d<sup>-1</sup>&nbsp;, found in the last column.</li> <li>Excretion sheet includes data collected during metabolic incubations performed at 4 and 9 months of the start of the experiment.&nbsp;For scleractinian species it is reported as &micro;mol NH<sub>4</sub>&nbsp;g<sup>-1</sup>d<sup>-1</sup>&nbsp;and for black coral and gorgonian as &micro;mol NH<sub>4</sub> cm<sup>-1</sup>d<sup>-1</sup>&nbsp;, found in the last column.</li> </ol>

restrictedJan 2023View details →

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International Brain Laboratory public data

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Last verified 2026-04-29Open record