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Figure 2 in Is the global decline reflects local declines? A case of the population trend of Far Eastern Curlew Numenius madagascariensis in Banyuasin Peninsula, South Sumatra, Indonesia
Figure 2. Population trend of number of the Far Eastern Curlew in Banyuasin Peninsula from 1984 to 2020.
Figure 3 in Is the global decline reflects local declines? A case of the population trend of Far Eastern Curlew Numenius madagascariensis in Banyuasin Peninsula, South Sumatra, Indonesia
Figure 3. Mix flocks of Far Eastern Curlew and Eurasian Curlew Numenius arquata in flight on 8 November 2020 in Banyuasin Peninsula, South Sumatra province, Indonesia (Photo: Cipto Dwi Handono).
Figure 4 in Is the global decline reflects local declines? A case of the population trend of Far Eastern Curlew Numenius madagascariensis in Banyuasin Peninsula, South Sumatra, Indonesia
Figure 4. Far Eastern Curlew standing at the mudflat on 8 November 2020 in the coastal zone of Banyuasin Peninsula, South Sumatra province, Indonesia (Photo: Cipto Dwi Handono).
supporting files for "What to Choose for Estimating Leaf Water Status - Spectral Reflectance or in vivo Chlorophyll Fluorescence?"
<p><strong><span>Fig. 1 </span></strong><span>Workflow and parameters used for comparative analysis.</span></p> <p><strong><span>Fig. 2</span></strong><span> Representative spectra of diffusive reflectance measured on the adaxial side (R<sub>D</sub>) of fresh (RWC = 98%), partially desiccated (RWC = 52% or 54%) and severely desiccated leaves (RWC = 5%) of tobacco (A) and barley (E). Comparison of R<sub>D</sub> and R<sub>B</sub> (R from the abaxial leaf side) in fresh and severely desiccated leaves of tobacco (B) and barley (F). Water index (WI = R<sub>900</sub>/R<sub>970</sub>) and relative decrease of R in the 800-1100 nm region (ΔR) estimated from R<sub>D</sub> (indexed by "D") and R<sub>B</sub> (indexed by "B") in desiccating leaves of tobacco (C, D) and barley (G, H).</span></p> <p><strong><span>Fig. 3</span></strong><span> Water index (WI<sub>SWIR </sub>= R<sub>1000</sub>/R<sub>1450</sub>) estimated from measurement of directional R from adaxial side of desiccating leaf samples of tobacco (A) and barley (B). </span></p> <p><strong><span>Fig. 4 </span></strong><span>Equivalent water thickness (EWT) during desiccation of tobacco and barley leaf samples within the RWC interval 100-50%.</span></p> <p><strong><span>Fig. 5 </span></strong><span>Normalized difference vegetation index</span><span> </span><span>(NDVI</span><span> </span><span>=</span><span> </span><span>(R<sub>780</sub>-R<sub>630</sub>)/(R<sub>780</sub>+R<sub>630</sub>)) estimated from measurement of diffusive R from the </span><span>abaxial (</span><span>NDVI</span><sub><span>B</span></sub><span>) and </span><span>adaxial side (NDVI</span><sub><span>D</span></sub><span>) of desiccating leaves of tobacco (A) and barley (D). SPAD-value</span><span>s</span><span> of desiccating leaves of tobacco (B) and barley </span><span>(E)</span><span>. Relative SPAD and NDVI</span><span>΄<sub>D</sub> (estimated from measurement of directional R from the adaxial side</span><span>)</span><span> </span><span>of a representative leaf of tobacco </span><span>(C)</span><span> and barley (F) during its desiccation (in % of the value measured immediately after leaf detachment). For selected data points, the time after the leaf detachment is indicated. </span></p> <p><strong><span>Fig. 6</span></strong><span> Chlorophyll fluorescence parameters of desiccating tobacco and barley leaf samples. (A, D) The maximum quantum yield of PSII photochemistry in the dark-adapted state (F<sub>V</sub>/F<sub>M</sub>) and the effective quantum yield of PSII photochemistry in the light-adapted state (ΦPSII<sub>st</sub>). (B, E) The non-photochemical quenching of chlorophyll fluorescence after 1 min of exposure to actinic light (NPQ<sub>1</sub>). (C, F) The non-photochemical quenching of chlorophyll fluorescence at steady state (NPQ<sub>st</sub>).</span></p> <p><strong><span>Fig. 7 </span></strong><span>Coefficient of reliability (<em>CR</em>), coefficient of sensitivity (<em>CS</em>) and coefficient of inaccuracy (<em>CI</em>) of parameters measured in desiccating leaf samples of tobacco and barley within the RWC interval 100-50%. The parameters have been divided into 5 groups according to the type of leaf characteristics they reflect. A horizontal line in <em>CR</em> plot indicates the reliability threshold (<em>CR</em> = 0.4).</span></p> <p><strong><span>Table 1 </span></strong><span>Parameters measured on desiccating tobacco and barley leaves ranked according to the value of their coefficient of reliability (<em>CR</em>) within the RWC interval 100-50% and the corresponding values of the coefficient of determination (<em>R<sup>2</sup></em>).</span></p> <p><strong><span>Fig. S1 </span></strong><span>Decrease in relative water content (RWC) of leaf samples of tobacco and barley with time after their detachment</span></p> <p><strong><span>Fig. S2 </span></strong><span>Micrographs of leaf structure of fresh tobacco (A) and barley (B) leaves.</span></p> <p><strong><span>Fig. S3</span></strong><span> </span><span>WI<sub>SWIR</sub> images </span><span>o</span><span>f representative desiccating tobacco and barley leaf samples</span><strong><span>. </span></strong><span>Numbers above the samples indicate their RWC in %.</span></p> <p><strong><span>Fig. S4 </span></strong><span>(A)</span><strong><span> </span></strong><span>Leaf area (in % of the area of fresh leaves) and (B) equivalent water thickness (EWT) during desiccation of tobacco and barley leaf samples.</span></p> <p><strong><span>Fig. S5 </span></strong><span>Imaging of chlorophyll fluorescence parameters of representative desiccating tobacco and barley leaf samples. The maximum quantum yield of PSII photochemistry (F<sub>V</sub>/F<sub>M</sub>), the effective quantum yield of PSII photochemistry in the light-adapted state (ΦPSII<sub>st</sub>), the non-photochemical quenching of chlorophyll fluorescence after 1 min of exposure to actinic light (NPQ<sub>1</sub>), and the non-photochemical quenching of Chl fluorescence at steady state (NPQ<sub>st</sub>).</span></p> <p><strong><span>Fig. S6</span></strong><span> Dependencies of</span><strong><span> </span></strong><span>measured parameters on RWC (in interval 100-50%) in desiccating tobacco leaves and segments. The parameters are ranked from most to least reliable according to their coefficient of reliability (<em>CR</em>). All parameters are normalized to their mean value (<em>ȳ</em>).</span></p> <p><strong><span>Fig. S7</span></strong><span> Dependencies of</span><strong><span> </span></strong><span>measured parameters on RWC (in interval 100-50%) in desiccating barley leaves and segments. The parameters are ranked from most to least reliable according to their coefficient of reliability (<em>CR</em>). All parameters are normalized to their mean value (<em>ȳ</em>).</span></p> <p><strong><span>Fig. S8 </span></strong><span>Leaf water potential measured by psychrometry </span><span>(Ψ<sub>psy</sub>) and by pressure chamber (Ψ<sub>press</sub>) in desiccating leaves of tobacco (A) and barley (B).</span></p> <p><strong><span>Table S1 </span></strong><span>Parameters measured on desiccating leaf samples ranked according to their coefficient of sensitivity (<em>CS</em>) within the RWC interval 100-50% in tobacco and barley.</span></p> <p><strong><span>Table S2 </span></strong><span>Parameters measured on desiccating leaf samples ranked according to their coefficient of inaccuracy (<em>CI</em>) within the RWC interval 100-50% in tobacco and barley.</span></p> <p><strong><span>Table S3 </span></strong><span>Ranking of measured parameters according to their coefficient of reliability (<em>CR</em>), sensitivity (<em>CS</em>) and inaccuracy (<em>CI</em>) in desiccating leaf samples of tobacco and barley within the RWC interval 100-50%. The parameters have been divided into 5 groups (the first column) according to the type of leaf characteristics they reflect.</span></p> <p><strong><span>Table S4</span></strong><span> Approximate </span><span>time required for the measurement of the parameters used in the study and the destructiveness/non-destructiveness of the measurement. The parameters that were used for the comparison according to their coefficients of reliability (<em>CR</em>), sensitivity (<em>CS</em>) and inaccuracy (<em>CI</em>) are written in bold.</span></p> <p><strong><span>Fig. 2_spectra of diffusive reflectance </span></strong><span>- source data for each panel (A-H) of Fig. 2: </span><span>Representative spectra of diffusive reflectance measured on the adaxial side (R<sub>D</sub>) of fresh (RWC = 98%), partially desiccated (RWC = 52% or 54%) and severely desiccated leaves (RWC = 5%) of tobacco (A) and barley (E). Comparison of R<sub>D</sub> and R<sub>B</sub> (R from the abaxial leaf side) in fresh and severely desiccated leaves of tobacco (B) and barley (F). Water index (WI = R<sub>900</sub>/R<sub>970</sub>) and relative decrease of R in the 800-1100 nm region (ΔR) estimated from R<sub>D</sub> (indexed by "D") and R<sub>B</sub> (indexed by "B") in desiccating leaves of tobacco (C, D) and barley (G, H).</span></p> <p><strong><span>Fig.3_water index WISWIR</span></strong><span> - source data for each panel (A+B) of Fig. 3: Water index (WISWIR = R1000/R1450) estimated from measurement of directional R from adaxial side of desiccating leaf samples of tobacco (A) and barley (B).</span></p> <p><strong><span>Fig.4_equivalent water thickness</span></strong><span> - source data for Fig. 4: Equivalent water thickness (EWT) during desiccation of tobacco and barley leaf samples within the RWC interval 100-50%.</span></p> <p><strong><span>Fig.5_NDVI</span></strong><span> - source data for each panel (A-F) of Fig. 5: Normalized difference vegetation index (NDVI = (R780-R630)/(R780+R630)) estimated from measurement of diffusive R from the abaxial (NDVIB) and adaxial side (NDVID) of desiccating leaves of tobacco (A) and barley (D). SPAD-values of desiccating leaves of tobacco (B) and barley (E). Relative SPAD and NDVI΄D (estimated from measurement of directional R from the adaxial side) of a representative leaf of tobacco (C) and barley (F) during its desiccation (in % of the value measured immediately after leaf detachment).</span></p> <p><strong><span>Fig.6_chlorophyll fluorescence parameters</span></strong><span> - source data for each panel (A-F) of Fig. 6: Chlorophyll fluorescence parameters of desiccating tobacco and barley leaf samples. (A, D) The maximum quantum yield of PSII photochemistry in the dark-adapted state (FV/FM) and the effective quantum yield of PSII photochemistry in the light-adapted state (ΦPSIIst). (B, E) The non-photochemical quenching of chlorophyll fluorescence after 1 min of exposure to actinic light (NPQ1). (C, F) The non-photochemical quenching of chlorophyll fluorescence at steady state (NPQst).</span></p> <p><strong><span>Fig.7_coefficients of reliability, sensitivity, inaccuracy</span></strong><span> - Coefficient of reliability (CR), coefficient of sensitivity (CS) and coefficient of inaccuracy (CI) of parameters measured in desiccating leaf samples of tobacco and barley within the RWC interval 100-50%.</span></p> <p><strong><span>Fig.S1_relative water content</span></strong><span> - source data for supplementary Fig. 1: Relative water content (RWC) of leaf samples of tobacco and barley with time after their detachment.</span></p> <p><strong><span>Fig.S4_leaf area and equivalent water thickness</span></strong><span> - source data for supplementary Fig. 4: Leaf area (A) and equivalent water thickness (EWT; B) during desiccation of tobacco and barley leaf samples.</span></p> <p><strong><span>Fig.S6_dependencies of parameters on RWC in tobacco</span></strong><span> - source data for each panel (A-N) of supplementary Fig.6: Dependencies of measured parameters (water potential, NPQ, NDVI, reflectance, SPAD, Fv/Fm, water indexes) on RWC (in interval 100-50%) in desiccating tobacco leaves and segments.</span></p> <p><strong><span>Fig.S7_dependencies of parameters on RWC in barley</span></strong><span> - source data for each panel (A-N) of supplementary Fig.7: Dependencies of measured parameters (water potential, NPQ, NDVI, reflectance, SPAD, Fv/Fm, water indexes) on RWC (in interval 100-50%) in desiccating barley leaves and segments.</span></p> <p><strong><span>Fig.S8_leaf water potential</span></strong><span> - source data for supplementary Fig. 8: Leaf water potential measured by psychrometry (Ψpsy) and by pressure chamber (Ψpress) in desiccating leaves of tobacco (A) and barley (B).</span></p>
Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism
<h2>Abstract</h2> <p>Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed.</p> <p>This depository contains data generated within the European S34 project.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Estimated reflectance hyperspectral libraries for Vigo sediment sample, seafloor sand samples and marine organism</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Estimated reflectance hyperspectral libraries created for sand samples from seafloor at Vigo sea zone 1, 2 and 3, sediment samples from Vigo fieldwork Sept. 2023 and some Vigo marine organisms such as sea cucumber, sea pens, sea stars, coral, seaweed.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Reflectance hyperspectral signature, library, sediment, sand, sea cucumber, sea star, coral, seaweed</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>25.05.2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>25.05.2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>CSV</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>0.25m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>EPSG 3035</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>Ecotone AS</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Underwater hyperspectral data of Vigo survey fieldwork Sept. 2023 (Reflectance Converted)
<h2>Abstract</h2> <p>Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.</p> <p>This depository contains data generated within the European S34 project.</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Underwater hyperspectral data of Vigo survey fieldwork Sept 2023</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Reflectance converted data of UHI data from Vigo fieldwork Sept 2023 survey. Data were recorded at three different sea zones in Vigo.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Reflectance estimated underwater hyperspectral, UHI, seabed, mineral, sea region</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>Report</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Bio-geographical regions</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>30.11.2023</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>30.11.2023</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>HDF5</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>1.5m</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>EPSG 3035</p> </td> </tr> <tr> <td> <p><strong>Constranits related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td> <p>Ecotone AS</p> </td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Ecotone AS, info@ecotone.com</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>
Dataset for "Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy"
<p>This is the experimental raw data set associated with the following publication: M. Löw, and MM May, Operando Investigation of Al Plating Regimes on HOPG in [EMImCl]:AlCl3 by Electrochemical Reflection Anisotropy Spectroscopy, Batteries & Supercaps (2024). DOI:<span>10.1002/batt.202400610</span></p> <p>The data set is organized according to the publication's figures. </p>
Linked collectors and determiners for: Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago.
Natural history specimen data linked to collectors and determiners held within, "Four New Bat Species (Rhinolophus hildebrandtii Complex) Reflect Plio-Pleistocene Divergence of Dwarfs and Giants across an Afromontane Archipelago". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/eb1f92d6-b231-49e8-942a-23a304304304">https://bionomia.net/dataset/eb1f92d6-b231-49e8-942a-23a304304304</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/eb1f92d6-b231-49e8-942a-23a304304304">https://gbif.org/dataset/eb1f92d6-b231-49e8-942a-23a304304304</a>. Formatted as a Frictionless Data package.
Molecular assays of pollen use consistently reflect pollinator visitation patterns in a system of flowering plants
<p>Determining how pollinators visit plants versus how they carry and transfer pollen is an ongoing project in pollination ecology. The current tools for identifying the pollens that bees carry have different strengths and weaknesses when used for ecological inference. In this study we use three methods to better understand a system of congeneric, co-flowering plants in the genus <i>Clarkia </i>and their bee pollinators: observations of plant-pollinator contact in the field, and two different molecular methods to estimate the relative abundance of each <i>Clarkia </i>pollen in samples collected from pollinators. We use these methods to investigate if observations of plant-pollinator contact in the field correspond to the pollen bees carry; if individual bees carry <i>Clarkia </i>pollens in predictable ways, based on previous knowledge of their foraging behaviors; and how the three approaches differ for understanding plant-pollinator interactions. We find that observations of plant-pollinator contact are generally predictive of the pollens that bees carry while foraging, and network topologies using the three different methods are statistically indistinguishable from each other. Results from molecular pollen analysis also show that while bees can carry multiple species of <i>Clarkia </i>at the same time, they often carry one species of pollen. Our work contributes to the growing body of literature aimed at resolving how pollinators use floral resources. We suggest our novel relative amplicon quantification method as another tool in the developing molecular ecology and pollination biology toolbox.</p>
Data to accompany "Stable isotope ratios in seawater nitrate reflect the influence of Pacific water along the northwest Atlantic margin".
<p>This dataset accompanies the article by Owen A. Sherwood, Samuel H. Davin, Nadine Lehmann, Carolyn Buchwald, Evan N. Edinger, Moritz F. Lehmann, and Markus Kienast: "Stable isotope ratios in seawater nitrate reflect the influence of Pacific water along the northwest Atlantic margin", Biogeosciences, 18, 1–20, 2021. <a href="https://doi.org/10.5194/bg-2021-45">https://doi.org/10.5194/bg-2021-45</a>.</p> <p>The dataset comprises nutrient concentrations and nitrate isotope ratios for “bottle” samples of seawater collected by CTD/Rosette from 25 stations along the northwest Atlantic Ocean, from the Labrador shelf to northern Baffin Bay. Seawater physical properties measured by CTD are also provided for the depths at which bottle samples were collected. The complete sampling and analytical methods are provided in the accompanying article. </p>
FIG. 14. — A in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 14. — A, the two first axes of a PCA performed on the harmonics of Fourier for the ventral view; B, the same for the apical view; C, D, location of the the populations means in the canonical space corresponding to the amplitudes of the harmonics of Fourier for the apical view; C, the two first canonical axes CA1 versus CA2; D, canonical axes CA1 versus CA3; green triangle, Moroccan Atlantic; yellow triangle, Cap Rhir; green square, Oualidia (O. brevirobusta). Red group, Mediterranean forms (Ocenebra erinaceus (Linnaeus, 1758)); blue group, North Atlantic forms (O. erinaceus); green group, Moroccan Atlantic forms (O. brevirobusta Houart, 2000), black square (Ocinebrellus inornatus (Récluz, 1851)). Abbreviations: P, Pleistocene; Pl, Pliocene.
FIG. 15. — A in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 15. — A, average Fourier power spectrum for the apical view, 99.95% of the power is described by the first nine harmonics, represented by the arrow; B, same for the ventral view, 99.95% of the power is described by the first 12 harmonics, represented by the arrow.
FIG. 11 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 11. — Majority rule consensus tree obtained by the comput- er program Winclada99 (Lenght: 100, CI: 0.48, RI: 0.67). Abbreviations: H, Holocene; Md, Middle Age; P, Pleistocene; Pl, Pliocene; R, Recent; s.f., subfossil; O., Ocenebra.
FIG. 10 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 10. — Strict consensus tree obtained by the computer programs Hennig86 (Lenght: 96, CI: 0.38, RI: 0.50) and Winclada99 (Lenght: 96, CI: 0.38, RI: 0.49). Abbreviations: Cl. 1-Cl. 6, number of the clades; in bold, the characters and in parenthesis, the character states; H, Holocene; Md, Middle Age; P, Pleistocene; Pl, Pliocene; R, Recent; s.f., subfossil; O., Ocenebra.
FIG. 8 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 8. — Spiral sculpture of recent Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (apertural view); A, B, O. erinaceus (Malaga, Mediterranean Sea, Spain) (MNHN, domaine de collection Botanique et Zoologie); C, D, O. brevirobusta (Casablanca, Atlantic, Morocco) (MNHN R11448 et R11449; Lecointre coll.). Abbreviations: see p. 267. Scale bars: A, C, 1 mm; B, D, 5 mm.
FIG. 9 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 9. — Spiral sculpture of Ocenebra erinaceus (Linnaeus, 1758) (apertural view); A, specimen from Asti (Pliocene, Italy) (MNHN R11447; Vibray coll.); B, specimen from Aigues-Mortes (Recent, Mediterranean Sea, France) (MNHN R63993; Merle coll.); C, specimen from Saint-Brieuc (English Channel, France) (MNHN R11445; Lhomme coll.); D, specimen from Oléron Island (Atlantic, France) (MNHN R11446; Lacour coll.). Abbreviations: see p. 267. Scale bar: 5 mm.
FIG. 7 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 7. — Simplistic representation of the ontogeny of the spiral cords of Ocenebra brevirobusta Houart, 2000 (population from Casablanca, Moroccan Atlantic). Abbreviations: adis, adapical secondary cord of the siphonal canal; ADP, adapical primary cord of the siphonal canal; ads, adapical secondary cord of the sutural ramp; IP, infrasutural primary cord; P1, shoulder cord; P2-P6, primary cords of the convex part of the whorl (w.); s2, s3, s6, secondary cords of the convex part of the whorl.
FIG. 13. — A in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 13. — A, intra- and interpopulation analysis using the Procrustes analysis for five specimens of Ocenebra erinaceus (Linnaeus, 1758) from Malaga (red), from Quiberon (blue), and for five specimen from O. brevirobusta Houart, 2000 from Moroccan Atlantic (green); B, morphological comparisons using the Procrustes analysis for the Mediterranean populations of O. erinaceus (Recent: dark red; fossils: light red), the Atlantic Ocean populations of O. erinaceus (Recent: dark blue; fossils: light blue), O. brevirobusta (Recent: dark green; fossil: light green) and for Ocinebrellus inornatus (Récluz, 1851) (black). The populations from Cap Rhir and the Étang de Thau respectively are in yellow and brown colours.
FIG. 3 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 3. — Location of 14 landmarks on the ventral view of the Ocenebra Gray, 1847. The correspondence between the primary cords (P1 to P4) and the landmarks is given; photo of O. erinaceus (Linnaeus, 1758), V. Berrou.
FIG. 2 in Quaternary and Recent shells of Ocenebra erinaceus (Linnaeus, 1758) and O. brevirobusta Houart, 2000 (Mollusca, Muricidae, Ocenebrinae): reflections on the intra- and interspecific variations
FIG. 2. — Linear measures used for the biometric study of Ocenebra Gray, 1847. Abbreviations: BCS, distance between the base and the old siphonal canal; H, total height; HA, height of the aperture excluding the siphonal canal; HLW, height of the last whorl; HP1, height of the P1 cord spine; HS, height of the siphonal canal; TP1, thickness of P1; WA, width of the aperture; WS, width of the shoulder; photo of O. erinaceus (Linnaeus, 1758), courtesy of R. Houart.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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