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Figure 9 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 9. Share of nematodes in total meiobenthos obtained from samples at the A. Anoxic B. Suboxic C. Oxic sites off Sinop shores (southern Black Sea).

Figure 6 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 6. Share of main meiobenthic taxa along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (April 2010).

Figure 2 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 2. Trends in the abundance (103 ind.m-2) and richness (number of taxa) of meiobenthos along the studied depth gradient at the Black Sea exit of Bosphorus in April 2010.

Figure 8 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 8. Share of main meiobenthic taxa at the oxic, suboxic and anoxic sites off Sinop shores (southern Black Sea).

Figure 1 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 1. Trends in the abundance (103 ind.m-2) and richness (number of taxa) of meiobenthos along the studied depth gradient at the Black Sea exit of Bosphorus in November 2009 (in addition to Sergeeva et al. 2013, Sergeeva & Mazlumyan 2015).

Figure 3 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 3. Share of benthic protozoan taxa in total protozoa along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (November 2009).

Figure 4 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 4. Share of benthic protozoan taxa in total protozoans along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (April 2010).

Figure 7 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 7. Trends in the abundance (103 ind.m-2) and richness (taxa number) of meiobenthos along the studied depth gradient at the oxic/anoxic interface off Sinop shores (southern Black Sea) in 2011 (in agreement with Ürkmez et al. 2015).

Figure 5 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)

Figure 5. Share of main meiobenthic taxa at the depth gradient along the oxic/anoxic interface at the Black Sea exit of Bosphorus (November 2009).

opencc-by-4.0Dec 2020View details →

Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex

Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River

opencc-by-4.0Nov 2020View details →

Text-fig. 2. Phylogeography based on mitochondrial phylogeny showing several evolutionary lineages of Arvicola and the separation of the Italian lineage of Arvicola, currently A. italicus (lineage A1), from European and Euro-Asiatic groups. From Wust-Saucy (1998: fig. 27), modified. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe

Text-fig. 2. Phylogeography based on mitochondrial phylogeny showing several evolutionary lineages of Arvicola and the separation of the Italian lineage of Arvicola, currently A. italicus (lineage A1), from European and Euro-Asiatic groups. From Wust-Saucy (1998: fig. 27), modified.

zenodo36/100

3-D animation of water current in the pharynx of an Appendicularian

Seawater enters the mouth and flows ventrally to a pair of spiracles (gill apertures) that open ventrally. Food particles (in red) are retained by the pharyngeal filter and water (in blue) exits though the spiracles to the outside of the body.

opencc-by-4.0Aug 2020View details →

opencc-zeroDec 2023View details →

Physical and biogeochemical properties of California Current upwelled source waters

Coastal upwelling variability in the California Current region, one of the four main eastern boundary current upwelling systems, is controlled by processes acting over a wide range of spatial and temporal scales. While the ensuing ecosystem response depends strongly on upwelled water properties, determining their exact physical and biogeochemical characteristics is notoriously difficult as it requires tracking water masses backward in space and time from the moment they upwell near the coast to their subsurface origin. Adjoint model simulations have been used successfully to track water masses in coastal upwelling systems and the work presented here extends these applications to determining the co-variability of physical and biogeochemical properties of source waters at spatial scales that resolve the known alongshore variability of coastal upwelling dynamics in the region. Notably, the results identify that the modulation of coastal upwelling efficiency by onshore/offshore geostrophic meanders is the dominant mechanism explaining alongshore variability in source depth and properties of upwelled waters. The simulations also reveal that source water properties vary seasonally in response to different balances between coastal upwelling intensity and biogeochemical processes. During spring, interannual variability of physical and biogeochemical properties is directly tied to the intensity of upwelling-favorable alongshore winds, whereas, during summer, biogeochemical properties respond more strongly to biological activity and subsequent organic matter remineralization at depth. Overall, the present work provides important insight into the mechanisms responsible for the alongshore mosaic and seasonal variation upwelled source water properties in the central California Current region.

zenodo36/100

Data release for "Measurements of muon-antineutrino and muon-neutrino+muon-antineutrino charged-current cross-sections without detected pions nor protons on water and hydrocarbon at mean antineutrino energy of 0.86 GeV"

This data release is associated with the publication "Measurement of charged-current cross-sections on water and hydrocarbon without detected pions nor protons using the T2K anti-neutrino beam at an off-axis angle 1.5 degrees". It is available in <a href="https://doi.org/10.1093/ptep/ptab014">Progress of Theoretical and Experimental Physics</a> and <a href="https://arxiv.org/abs/2004.13989">arXiv:2004.13989 [hep-ex]</a>. The data release contains: <ul> <li>The "histograms.root" file contains several histograms related to the cross-sections. <ul> <li>flux_numubar_* -> 1D histogram with the flux prediction at the WAGASCI module or the Proton Module of the T2K experiment.</li> <li>flux_numu_* -> 1D histogram with the flux prediction at the WAGASCI module or the Proton Module of the T2K experiment.</li> <li>Err_numubar_* -> 1D TGraphAsymmErrors with the measured flux-integrated numubar cross-sections and their uncertainties.</li> <li>Err_numu_numubar_* -> 1D TGraphAsymmErrors with the measured flux-integrated numu+numubar cross-sections and their uncertainties.</li> <li>xsec_numubar_* -> 1D histogram with the predicted flux-integrated numubar cross-sections by NEUT (5.3.3).</li> <li>xsec_numu_numubar_* -> 1D histogram with the predicted flux-integrated numu+numubar cross-sections by NEUT (5.3.3).</li> </ul> </li> <li>The "Covariance_Matrix_Numubar.root" file contains the covariance matrix for the flux-integrated numubar cross-sections, considering all the uncertainties.</li> <li>The "Covariance_Matrix_Numu+Numubar.root" file contains the covariance matrix for the flux-integrated numu+numubar cross-sections, considering all the uncertainties.</li> <li>The "flux" file contains the (anti-)muon neutrino flux prediction at the WAGASCI module or the Proton Module of the T2K experiment</li> </ul>

opencc-by-4.0Sep 2022View details →

zenodo36/100

Numerical model code, input files and output data for publication "Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current"

Contains numerical model data (code, input files, selected output, matlab diagnostic routines) to supplement publication ``Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current'', by Naveiro Garabato and co-authors. All numerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations, and reproduction of diagnostics shown in plots in the above-referenced paper.

opencc-by-4.0Dec 2018View details →

publicSep 2025View details →

Ocean current, temperature, salinity and turbulence collected from the R/V Walton Smith, R/V Pelican, and R/V Pt. Sur during two summer seasons of intensive field campaigns in the Coastal Waters of Gulf of Mexico and the Gulf of Mexico from 20210620 to 20220707

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publicDec 2023View details →

Physical and biogeochemical properties of California Current upwelled source waters

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