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387 results for “oyster”
Shell length and dry tissue weight relationship of the mollusk Ostrea lurida (Olympia Oyster) in the low and subtidal zones of the San Diego River, California: 2016-2017.
Data was collected to look at the relationship between the dry tissue weight and the shell length of Ostrea lurida in the San Diego River, and use the data to compare it to other estuaries O. lurida inhabit along the west coast of North America. Sampling was done in the low and sub intertidal zones along the delta of the San Diego River from October 2016 through September 2017. A fifty meter transect was chosen to collect samples which was broken up into five 10 meter transects. In each of these 10-m transects, 0.5 X 0.5 m quadrats were randomly selected for oyster assessments. Oysters were removed by physical removal by hand. Once back in the lab shell lengths were measured and dry weights were obtained.
Small reservoir grab sample data, Parker, Ipswich, Lamprey, and Oyster River Watersheds, 2015 - 2020
This dataset contains water quality data from the inputs and outputs of eight reservoirs located in southeastern New Hampshire and northeastern Massachusetts. Samples were filtered in the field using Whatman GF/F filters with a nominal pore size of 0.7 µm and stored on ice until returned to the lab where they were frozen until analysis. Samples were analyzed for anions (NO3-, Cl-, SO4-, Br-) via ion chromatography on a Dionex Ion Chromatograph; NH4+ using a colorimetric method on a SmartChem Chemistry Analyzer; and total dissolved nitrogen (TDN) and dissolved organic carbon (DOC) via high-temperature oxidation on a Shimadzu TOC-V. DON was calculated as the difference between TDN and DIN (NO3- + NH4+). Samples correspond with individual sample names. Site (n = 8) indicate which reservoir each sample belongs to. Location indicates whether a sample was collected at the outflow or inflow ("UP", for reservoirs with one inflow) or "UP_1", "UP_2", or "UP_3" for sites with up to three inflows. CArea.km2 is the upstream drainage area estimated from the reservoir outflow while SArea.km2 is the surface area of each reservoir calculated via NHD+ polygons in GIS software. Temp.C is water temperature at the reservoir outflow on the day of sample collection while Discharge.m3s is the daily discharge scaled to the reservoir outflow from the nearest USGS gaging station. DIN.mgL, DON.mgL, and TDN.mgL are concentrations of dissolved inorganic nitrogen, dissolved organic nitrogen, and total dissolved nitrogen, respectively, in mg/L.
Pond-based production of oyster spat (Ostrea edulis)
<p>Aim : Understanding how temperature affects the reproduction cycle of Flat oysters (<i>Ostrea edulis</i>) and development of protocol for pond production of oyster spat to ensure a reliable supply of high-quality oyster seed.</p><p>1) Mature oysters from Galway Bay, Ireland, were placed in land-based ponds for spawning. The amount of larvae in the ponds as well as the water temperature in the ponds were measured daily during the study. Daily temperature means in Galway Bay, Carton point New Quay, Ireland were extracted from online databasis for use in a temperature-maturation model. The data was collected during the summers 2019 to 2021 at Galway Bay, Ireland.</p><p> 2) Oyster broodstock were placed in land based tanks and allowed to spawn. Abiotic parameters (temperature, salinity/alkalinity, oxygene and pH) as well as biotic parameters (microalgal concentration and species composition, and oyster larval density), were monitored during the study. Data was collected during June 2021.The study was performed in Fiskebäckskil, on the Swedish west coast. </p>
Evaluation of different seed collection systems for oysters in Brazil
<p>Aim: Evaluation of different substrates for making artificial oyster seed collectors.</p><p>1) Four substrate types were tested: sanded bottles, flexible smooth PVC strips, flexible sanded PVC strips and factory-textured PVC strips.</p><p>2) Four substrate types were tested: sanded bottles, flexible smooth PVC strips, coupelles and commercial Zapco seed collector.</p><p>Data includes number of oyster seeds collected per square centimeter. The data originates from the Brazilian Northeast coast.</p>
Evaluation of different grow-out systems for oysters in Brazil
<p>Aim: Evaluation of different grow-out systems for oysters (<i>Crassostrea gasar</i>).</p><p>1) Six systems were tested; Fixed PVC table, Fixed rope table, Floating PVC table, Galvanized steel floating table, BST basket system, Pillows fixed on rope according to the traditional method of the producers of Sergipe.</p><p>2) Three systems were tested; Fixed PVC table, Galvanized steel floating table, Pillows fixed on rope according to the traditional method of the producers of Sergipe.</p><p>Data includes growth of oysters in different grow-out systems. Data originates from the Brazilian northeast coast.</p>
Evaluation of different grow-out systems for oysters in Sweden
<p>Aim: Evaluate different grow-out systems for oysters (<em>Ostrea edulis</em>). The data describes the evaluation of two systems; the commercial Aquapurse cages and a newly designed cylindrical metal cage system, for production of oysters in Sweden.</p> <p>Data includes growth and survival of oysters in different systems, measurements of fouling load as well as handling/robustness of the grow-out systems. Data originates from the Swedish west coast.</p>
Effects of Salinity on the Reproductive Cycle of the Mangrove Oyster Crassostrea tulipa in Hatchery Conditions
<p>Aim: Development of hatchery techniques for <i>Crassostrea gasar</i> seed supplies, including animal conditioning using salinity manipulation.</p><p>A protocol for conditioning using salinity manipulation for <i>C. gasar</i> was developed based on review of existing literature and data from previous projects. The protocol was tested and evaluated by university partners in southern Brazil, refined by Embrapa and then transferred to industry partners.</p>
Fig. 5 in Parasitic gastropod bioerosion trace fossil on Cenomanian oysters from Le Mans, France and its ichnologic and taphonomic context
Fig. 5. Parasitic gastropod bioerosion and perforation trace Loxolenichnus stellatocinctus igen. et isp. nov., MHNLM 2015.2.244, holotype, Marnes à Pycnodonte biauriculata Formation, Upper Cenomanian, Lycée Bellevue earthmoving works, Le Mans, Sarthe Department, France; on LV of Rhynchostreon suborbiculatum (Lamarck, 1801). A. Entire LV shell with the arrow showing the perforation. B. LV (viewed from inside), the arrow shows the opening of the perforation on the inner side of the shell, diascopic illumination. Outer (C) and inner (D) sides of the shell, close-ups of the perforation, the dashed line delimitates approximately the course of the perforation through the shell, diascopic illumination. E. Positive X-ray print of the perforation.
Fig. 6 in Parasitic gastropod bioerosion trace fossil on Cenomanian oysters from Le Mans, France and its ichnologic and taphonomic context
Fig. 6. Parasitic gastropod bioerosion trace Loxolenichnus stellatocinctus igen. et isp. nov., MHNLM 2015.2.346 and MHNLM 2015.2.347, paratypes; lower Campanian Inoceramus lingua–Goniotheuthis quadrata Zone, quarry near Höver, Germany. A. Outer side of an oyster valve, accommodating two specimens of L. stellatocinctus (arrows). B. Close-up of the two specimens and the multiple perforations. C. Inner side of the oyster valve showing two of the perforations reaching the adductor muscle pad. Outer (D) and inner (E) sides of an oyster valve with a marginal L. stellatocinctus. F. Close-up of D, note the two concentric stellate rims and the marginal notch.
Data from: Unexpected stability in faunal population abundances following an estuary-wide collapse of oysters
<p>Data describing the number and lengths of fish and macroinvertebrates sampled from long-term fisheries independent sampling in Florida’s coastal waters. Original data were collected by the Florida Fish and Wildlife Conservation Commission (FWC) Fish and Wildlife Research Institute (FWRI).</p>
Understanding the risks of co-exposures in a changing world: A case study of dual monitoring of the biotoxin domoic acid and Vibrio spp. in Pacific oyster
<div> <p><span>Assessing the co-occurrence of multiple health risk factors in coastal ecosystems is challenging due to the complexity of multi-factor interactions and limited availability simultaneously collected data. Understanding co-occurrence is particularly important for risk factors that may be associated with or occur in similar environmental conditions. In marine ecosystems, the co-occurrence of harmful algal bloom toxins and bacterial pathogens within the genus <em>Vibrio </em>may impact both ecosystem and human health. This study examined the co-occurrence of <em>Vibrio</em> spp. and domoic acid (DA) produced by the harmful algae <em>Pseudonitzschia</em> by 1) analyzing existing California Department of Public Health monitoring data for <em>V. parahaemolyticus</em> and DA in oysters; 2) and conducting a one-year seasonal monitoring of these risk factors across two Southern California embayments. Existing public health monitoring efforts in the state were robust for individual risk factors; however, it was difficult to evaluate the co-occurrence of these risk factors in oysters due to low number of co-monitoring instances between 2015 and 2020. Seasonal co-monitoring of that DA and <em>Vibrio</em> spp. (<em>V. vulnificus</em> or <em>V. parahaemolyticus</em>) at two embayments revealed the co-occurrence of these health risk factors in 35% of sampled oysters in most seasons. Interestingly, both the overall detection frequency and co-occurrence of these risk factors was considerably less frequent in water samples. These findings may in part suggest the slow depuration of <em>Vibrio </em>spp. and DA in oysters as residual levels may be retained. This study expanded our understanding of the simultaneous presence of DA and <em>Vibrio</em> spp. in bivalves and demonstrate the feasibility of co-monitoring different risk factors from the same sample. Individual programs monitoring for different risk factors from the same sample matrix may consider combining efforts to reduce cost, streamline the process, and better understand the prevalence of co-occurring health risk factors.</span></p> </div>
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June.
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977].
Рис. 9. Частотно-раЗмерное распределение створок устрицы (Crassostrea gigas) иЗ раковинной кучи (все выборки). Fig. 9. Size-frequency distribution of valves of the giant oyster (Crassostrea gigas) from the shell-midden (all samples). in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 9. Частотно-раЗмерное распределение створок устрицы (Crassostrea gigas) иЗ раковинной кучи (все выборки). Fig. 9. Size-frequency distribution of valves of the giant oyster (Crassostrea gigas) from the shell-midden (all samples).
Data From: Population-specific responses in eastern oysters exposed to low salinity in the northern Gulf of Mexico
<p>Eastern oysters, <em>Crassostrea virginica</em>, are facing rapid environmental changes in the northern Gulf of Mexico and can respond to these changes via plasticity or evolution. Plastic responses can immediately buffer against environmental changes, although this buffering may impact the organism's ability to evolve in subsequent generations. While plasticity and evolution are not mutually exclusive, the relative contribution and interaction between them remain unclear. In this study, we investigate the roles of plastic and evolved responses to low salinity in <em>C. virginica</em> using a common garden experiment with four populations exposed to two salinities. We use three transcriptomic analyses (edgeR, PERMANOVA, and WGCNA) combined with physiology data to identify the effect of genotype (population), environment (salinity), and genotype-by-environment interaction on both whole organism and molecular phenotypes. We demonstrate that variation in gene expression is mainly driven by population, with relatively small changes in response to salinity. In contrast, the morphology and physiology data reveal that salinity has a larger influence on oyster performance than the population of origin. All analyses lacked signatures of genotype-by-environment interaction, and in contrast to previous studies, we find no evidence for population-specific responses to low salinity. However, individuals from the highest salinity estuary displayed highly divergent gene expression from other populations, which could potentially drive population-specific responses to other stressors. Our findings suggest that C. virginica largely rely on plasticity in physiology to buffer the effects of low salinity, but that these changes in physiology do not rely on large persistent changes in gene expression.</p>
FIG. 3. — A, Gyrostrea A in Systematics, palaeoecology and taphonomy of Turonian oysters from the northern Gabon Coastal Basin
FIG. 3. — A, Gyrostrea A MDG/LBV/Lm-13; B, C, Rhynchostreon cf. suborbiculatum (Lamarck, 1801) MDG/LBV/Lm-9; D-F, Gryphaeostrea sp.; D-E, MDG/LBV/Lm- 7.1, F. MDG/LBV/Lm-7.2; G, H, Curvostrea tevesthensis (Coquand, 1862) MDG/LBV/Lm-11; I-M, Ilymatogyra (Afrogyra) africana (Lamarck, 1801); I, J, MDG/LBV/ Lm-8.3, K. MDG/LBV/Lm-8.2, L-M. MDG/LBV/Lm-8.1; N, Q, Ostreidea gen. et sp.; indet MDG/LBV/Lm-34; O, P. Pycnodonte sp. MDG/LBV/Lm-10. Scale bar: 1 cm.
FIG. 4. — A-D in Systematics, palaeoecology and taphonomy of Turonian oysters from the northern Gabon Coastal Basin
FIG. 4. — A-D, Ostrea sp. D: A, B, MDG/LBV/Lm-33.1; C, D, MDG/LBV/Lm-33.2; E, Ostrea sp. C MDG/LBV/Lm-32.1; F, Gyrostrea sp. B MDG/LBV/Lm-14; G-N, Gyrostrea delettrei (Coquand, 1862); G, H, MDG/LBV/Lm-12.1; I, J, MDG/LBV/Lm-12.2; K, L, MDG/LBV/Lm-12.3, M-N. MDG/LBV/Lm-12.4; O-R, Ostrea sp. B; O, P, MDG/LBV/Lm-31.1; Q, R, MDG/LBV/Lm-31.2; S-U, Ostrea sp. A, S-T. MDG/LBV/Lm-15.1; U, MDG/LBV/Lm-15.2. Scale bar: 1 cm.
Рис. 15. ПляЖи и пляЖевые танатоценоЗы б. Теляковского (июнь 2015 г.): А – северная часть бухты: пляЖ и валунно-глыбовая литораль; В – срединная часть бухты; С – массовые выбросы устриц (Crassostrea gigas), мидий (Crenomytilus grayanus) и модиолусов (Modiolus kurilensis) в северной части бухты; D – выбросы спиЗулы (Spisula sachalinensis) в срединной части бухты. Fig. 15. Beaches and beach thanatocoenoses of Telyakovskogo Bay (June 2015): A – northern part of the bay: a beach and rocky intertidal zone; B – middle part of the bay; C – abundant strandings of oysters (Crassostrea gigas), mussels (Crenomytilus grayanus and Modiolus kurilensis) in the northern part; D – strandings of Spisula sachalinensis in the middle part. in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 15. ПляЖи и пляЖевые танатоценоЗы б. Теляковского (июнь 2015 г.): А – северная часть бухты: пляЖ и валунно-глыбовая литораль; В – срединная часть бухты; С – массовые выбросы устриц (Crassostrea gigas), мидий (Crenomytilus grayanus) и модиолусов (Modiolus kurilensis) в северной части бухты; D – выбросы спиЗулы (Spisula sachalinensis) в срединной части бухты. Fig. 15. Beaches and beach thanatocoenoses of Telyakovskogo Bay (June 2015): A – northern part of the bay: a beach and rocky intertidal zone; B – middle part of the bay; C – abundant strandings of oysters (Crassostrea gigas), mussels (Crenomytilus grayanus and Modiolus kurilensis) in the northern part; D – strandings of Spisula sachalinensis in the middle part.
Рис. 7. Целые створки устрицы (Crassostrea gigas) иЗ раскопа 2. Fig. 7. Intact valves of the giant oyster (Crassostrea gigas) from excavation 2. in Mollusks from the shell-midden of the Telyakovskogo 2 site in southern Primorye (Yankovskaya culture), their paleoecology and role in paleoeconomy
Рис. 7. Целые створки устрицы (Crassostrea gigas) иЗ раскопа 2. Fig. 7. Intact valves of the giant oyster (Crassostrea gigas) from excavation 2.
Dataset: Drone orthomosaics for remote detection of Pacific oysters (Kingsbridge Estuary, UK)
<p><span>A field campaign was carried out at two distinctive intertidal cases at </span><span>Kingsbridge Estuary, UK. Drone images were collected around low tide on </span><span>each site of the estuary selected by the high number of Pacific oysters reported </span><span>and their very different characteristic landscapes of mudflats and rocky shore. D<span>rone images were collected using </span><span>a DJI Phantom4 Pro v2.0 in a pre-planned grid mission using the ”DJI </span><span>GS Pro” mission planner software.</span><span> </span><span>Photos were acquired at 10 m altitude </span><span>(resulting in a pixel size of</span><span> </span><span>∼</span><span>0.3 px/cm) with a front overlap ratio of 80% </span><span>and a side overlap of 70%.</span><span> </span></span></p> <p><span>The two sites included in this work are:</span><br><span>•</span><span> </span><span>Site A: Collapit Creek mudflats</span><span>. An area of approximately 1.67 ha</span> <span>intertidal mudflat was surveyed on 13th May 2022 </span><span>(lat, lon = 50.259245, -3.771041).</span><br><span>•</span><span> </span><span>Site B: Scoble Point rocky shore</span><span>. The intertidal region that follows </span><span>the shoreline for approximately 250 m was surveyed on 16th May 2022, </span><span>Figure 3 (50.240164, -3.755421).</span></p>
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OpenNeuro
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