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216 results for “water column”
PIE LTER, Year 2017, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts
Year 2017, 15 minute measurements of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club, Ipswich, MA.
PIE LTER, Hach, OTT RLS measurements of water column depth at 15 minute intervals in the lower Plum Island Sound off the Ipswich Bay Yacht Club pier, Ipswich, MA, year 2018
Measurements of water column depth at 15 minute intervals in Plum Island Sound at the Ipswich Bay Yacht Club, for year 2018. OTT radar level sensor (RLS) installed September 20, 2011 out of the water under the concrete pad on the Ipswich Bay Yacht Club pier, Ipswich, MA. RLS was mounted so that continuous year round measurements can be conducted without the concern of ice flows damaging the sensor.
Experimental data used in "Watertable fluctuation-induced variability in the water retention curve: Sand column experiments"
<p>Experimental data used in "Watertable fluctuation-induced variability in the water retention curve: Sand column experiments"</p>
Size normalizing planktonic Foraminifera abundance in the water column
<p>Data and R code for the paper <strong>Size normalizing planktonic Foraminifera abundance in the water column</strong> (<a href="https://doi.org/10.1002/lom3.10637">https://doi.org/10.1002/lom3.10637</a>) by Sonia Chaabane, Thibault de Garidel-Thoron, Xavier Giraud, Julie Meilland, Geert-Jan A. Brummer, Lukas Jonkers, P. Graham Mortyn, Mattia Greco, Nicolas Casajus, Olivier Sulpis, Michal Kucera, Azumi Kuroyanagi, Hélène Howa, Gregory Beaugrand, Ralf Schiebel</p> <p> </p> <p>The codes serve to generate a new normalization approach for estimating the abundance of planktonic Foraminifera (ind/m³) within the specified collection size fraction range. Data utilized in this study are sourced from the FORCIS database, containing records collected from the global ocean at various depths spanning the past century. A cumulative distribution across size fractions is identified and modeled using a Michaelis-Menten function. This modeling results in multiplication factors enabling the normalization of one fraction to any other size fraction equal to or larger than 100 µm. The resultant size normalization model is then tested across various depths and compared against a previous size normalization solution.</p> <p>Scripts written by Sonia Chaabane.</p> <p>DATA SOURCES</p> <ul> <li>FORCIS database: <a href="https://doi.org/10.5281/zenodo.7390791" target="_new">https://doi.org/10.5281/zenodo.7390791</a></li> </ul> <p>DATA</p> <ol> <li>data_raw_from_excel.RDS</li> </ol> <p>CODES</p> <ol> <li>Code 1_Prepare the data.R: Reads the data and prepares it for analysis.</li> <li>Code 2_Data-model_training.R: Analyzes the data and builds the model.</li> <li>Code 2_MM_confidence interval_all oceans_depths_seasons.R: Analyzes the data and computes confidence intervals across all oceans, depths, and seasons.</li> <li>Code 3_Validation.R: Compares actual vs. estimated number concentrations.</li> <li>Code 4_Test with berger scheme.R: Compares actual vs. estimated number concentrations using Berger 1969 correction scheme.</li> <li>Code 5_Cross validation_Retailleau et al.R: Applies the FORCIS number concentration-size correction scheme on an independent dataset.</li> <li>Code 6_Retailleau et al. using berger approach.R: Compares actual vs. estimated number concentrations using Berger 1969 correction scheme from an independent dataset.</li> <li>function.R: Additional functions used in the analysis.</li> </ol> <p> </p>
ASTRAL dataset_IMTA lab Ireland_water column nutrients
<p>Data set containing nutrient data from the water column of an open water marine IMTA research site in Lehanagh Pool, Bertraghboy Bay, Co. Galway, Ireland. 2021 - 2023.</p>
2017 SCOPE Gradients Water Column Data
<p>This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 2 cruise in the Northeast Pacific Ocean, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. </p>
2021 SCOPE Gradients, Water Column Data
<p>This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 4 cruise, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. This dataset was collected on the R/V Thompson during the Gradients 4 cruise which departed from San Diego, CA and ended in Honolulu, HI. A transect was performed on the 140 degree longitude line from roughly 19 degrees N to 2.5 degrees S before heading to Honolulu.</p>
2016 SCOPE Gradients Water Column Data
<p>This dataset contains water column data collected via CTD/rosette profiles taken on the SCOPE Gradients 1 (KOK1606) oceanographic research cruise in the Northeast Pacific Ocean, averaged at every Niskin bottle trip. The SCOPE-Gradients program is designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. </p>
In-situ parameters, nutrients and dissolved carbon distribution in the water column and pore waters of Arctic Fjords (Western Spitsbergen) during a melting season
<p>A nutrient distribution such as phosphate (PO₄³⁻), ammonium (NH₄⁺), nitrate (NO₃⁻), dissolved silica (Si), total dissolved nitrogen (TN), dissolved organic nitrogen (DON) together with dissolved organic carbon (DOC) and inorganic carbon (DIC), was investigated during a high melting season in 2021 in the western Spitsbergen fjords (Hornsund, Isfjorden, Kongsfjorden, and Krossfjorden). Both the water column and the pore water were investigated for nutrients and dissolved carbon distribution and gradients. The water column concentrations of most measured parameters such as PO₄³⁻, NH₄⁺, NO₃⁻, Si, and DIC showed significant changes among fjords and water masses. In addition, pore water gradients of PO₄³⁻, NH₄⁺, NO₃⁻, Si, DIC and DOC revealed significant variability between fjords and are likely substantial sources of the investigated elements for the water column. The obtained dataset reflects differences in hydrography and biogeochemical ecosystem function of the western Spitsbergen fjords and may form the base for further modelling of physical oceanographic and biogeochemical processes within the investigated fjord systems.</p> <p> </p>
2015 Hawaii Ocean Experiment - Legacy 2A, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 2A Diel cruise in 2015. The objective of the cruise was to deploy and follow free-drifting surface drifters in the vicinity of the Hawaii Ocean Time-series (HOT) station (Station ALOHA; defined as a circle with a 6 nautical mile radius centered at 22° 45N, 158°W). The overall goal was to conduct a comprehensive analysis of the diel patterns in phytoplankton physiology and biogeochemical cycling in near-surface waters of the oligotrophic North Pacific Ocean. Such diel patterns in ecology are particularly relevant in biological oceanographic research where the planktonic biomass turns over on timescales of days.</p>
2017 Microbial Ecology of the Surface Ocean - SCOPE, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the MESO-SCOPE cruise in 2017. Mesoscale eddies affect the variability of ocean ecosystems through different dynamics, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. One of the most well known effects of mesoscale eddies is the vertical displacement of water in their interior due to the geostrophic balance with the eddy circular motion. Since eddies of different polarity displace water in opposite directions, their impact on pelagic ecosystems is postulated to be very different. Based on this information, one of the objectives of the MESO-SCOPE expedition was to study a mesoscale dipole, i.e. a system composed of adjacent cyclonic and anticyclonic eddies. The MESO-SCOPE (Microbial Ecology of the Surface Ocean - Simons Collaboration on Ocean Processes and Ecology) expedition collected oceanographic observations in the region north of the Hawaiian Islands with the aim of identifying the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. The expedition was funded by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and hosted on the research vessel Kilo Moana between June 26 and July 15 2017, leaving from and returning to the port of Honolulu. Scientists from eight countries, representing eleven SCOPE laboratories, participated in the MESO-SCOPE expedition and contributed their expertise in research areas as ocean biogeochemistry, molecular biology, bio-optics, plankton taxonomy, microbiology, and ecology.</p>
2016 Hawaii Ocean Experiment - Legacy 4, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 4 cruise in 2016. Mesoscale eddies shape the temporal and spatial variability of ecosystem processes in many regions of the World Ocean, but an exhaustive description of their influence on the plankton community is still missing, partly due to the complex physical-biological interaction taking place inside the eddies. HOE-Legacy 4 was an oceanographic cruise organized by the Simons Collaboration on Ocean Processes and Ecology (SCOPE) and the Center for Microbial Oceanography: Research and Education (C-MORE) in 2016. The cruise took place in the northeast sector of the North Pacific Subtropical Gyre during May 9-14 2016 onboard the research vessel Kaimikai-o-Kanaloa, leaving from and returning to the port of Honolulu. HOE-Legacy 4 was one of a series of cruises investigating the biogeochemical and ecological variability associated with mesoscale eddies, that are regions of the ocean with diameters of tens to hundreds of kilometers characterized by a rotational motion.</p>
2016 Hawaii Ocean Experiment - Legacy 3, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOE Legacy 3 cruise in 2016. The objective of the cruise was to conduct water-column observations and sampling within an anticyclonic eddy to the north of the Hawaiian Islands. Surface drifters were deployed to track the eddy, and water- column sampling was conducted using the CTD-rosettes alongside the drifters for the duration of the cruise. The SVP drifter locations were transmitted every 30 mins.</p>
2018 SCOPE Falkor Cruise Water Column Data
<p>This dataset consists of samples collected from various depths in the water column using niskin bottles attached to a CTD rosette on the 2018 SCOPE-Falkor cruise. The 2018 SCOPE-Falkor Cruise was built on the observations of the SCOPE expeditions conducted during 2015-2017 by looking at diel variability associated with the deep chlorophyll maximum and quantifying the impact of mesoscale eddies on the ecology and functioning of the North Pacific Subtropical Gyre. A unique aspect to the expedition was the use of Long-Range Autonomous Underwater Vehicles which were integrated into the science operations in conjunction with other oceanographic equipment. The majority of the expedition was located in a cyclonic eddy to the north of the island of Molokai. The reason for selecting a cyclonic eddy was to better understand the microbial community structure and dynamics associated with the deep chlorophyll maximum in an eddy with negative sea level anomaly. The deep chlorophyll maximum is uplifted by 20 to 40 m in a cyclonic eddy compared to its typical position in the water-column. The expedition was split into two legs in order to facilitate both engineering and scientific research objectives. After sampling a cyclonic eddy during 14 March to 4 April, 2018, the expedition sampled a large anticyclonic eddy to the northwest in order to augment our increasing understanding of microbial biogeochemistry in eddies with contrasting polarity. During the cruise, the Schmidt Ocean Institute R/V Falkor deployed two Long Range Underwater Vehicles that autonomously tracked and sampled the chlorophyll maximum layer, two Seagliders, a Waveglider, a Wirewalker, and free-drifting sediment trap arrays. </p>
2018 Life Aquatic in the Volcanic Aftermath, Water Column Data
<p>This dataset consists of samples taken at various depths in the water column from niskin bottles attached to a CTD rosette on the HOT LAVA cruise in 2018. Kilauea volcano on the island of Hawaii was in a violent eruptive phase in the summer of 2018, with significant activities both at the summit caldera and at several points along the East Rift Zone. This rare event provided a unique opportunity to investigate hydrothermal processes at the lava-seawater contact zone (Kapoho Bay region) and the impacts of volcanic aerosol and ash deposition on surrounding marine ecosystems. The objective of the HOT LAVA cruise was to sample the ocean surrounding the lava entry point and then to track the satellite-derived chlorophyll plume that extended to the south. Operationally, a Seaglider was deployed to conduct profiling transects and CTD stations were occupied to sample microbes and biogeochemistry associated with blue water, green water, and geothermal grey water, reflecting waters differentially impacted by lava influx into coastal waters. A towfish was also deployed to sample for trace metal analyses.</p>
2019 SCOPE Gradients, Water Column Data
<p>This dataset is from the Gradients 3 cruise (KM1906) conducted April 10- April 29, 2019 in the North Pacific Ocean. CTD/rosette profiles were taken down to 1000 meters and samples were collected from niskin bottles attached to the CTD and used to generate concentrations of oxygen, inorganic nutrients, and pigment concentrations. Temperature and salinity were derived from CTD sensors. Details on methods used are available at https://hahana.soest.hawaii.edu/hot/methods/chl.html. The Gradients 3 cruise is a component of the SCOPE-Gradients program (http://scope.soest.hawaii.edu/data/gradients/gradients.html) and was designed to test conceptual and mathematical models of biogeochemical organization across transition zones between different ecosystems.</p>
Harbour protection with dual chamber oscillating water column devices (HARBOUR OWC) - 1/25 scale model tank test
Among various devices of wave energy converters (WEC), oscillating water column (OWC) devices are one of the concepts successfully deployed around the world. Hence, the necessity to design and develop the recent concept of dual-chamber OWC device attached to an existing coastal breakwater emerged. Former investigation in a wave flume already characterized the hydrodynamic performance of the device for a 1:25 scale model with frontal wave excitations. From this study, the effect of the incident wave direction is highlighted and the effect of the air compressibility on the device performances can be determined. The enclosed dataset refers to the experimental work developed at LNEC within the project Harbour OWC (PTDC/EME-REN/30866/2017) and considers the 3D effect of the incoming waves with a 14º angle of incidence. Data of free surface elevation along the tank and inside the device along with total pressure are presented.
Pathways of methane removal in the sediment and water column of a seasonally anoxic eutrophic marine basin - dataset
<p>Dataset used in the article: "Pathways of methane removal in the sediment and water column of a seasonally anoxic eutrophic marine basin", Zygadlowska et al., 2023.</p>
BiG RAPA Water Column HPLC Pigments from R/V Melville MV1015 in the South Pacific from Arica, Chile to Easter Island from November to December 2010 (C-MORE project)
<p>“The South East Pacific (SEP) is characterized by very high nutrient concentrations in the waters adjacent to the Chilean coast, but very low nutrient concentrations (oligotrophic) in the mid- South Pacific Subtropical Gyre (SPSG), near Easter Island. The steep gradient in nutrient concentrations across the region affects the level of marine production, the composition of the microbial community, and the operation of major biogeochemical cycles in ways that are not fully understood. Despite the remarkable diversity of trophic conditions, strong gradients and even some unique singularities, the SEP is still the most sparsely sampled oceanic region of the global ocean from hydrodynamic, biological and biogeochemical points of view. The SPSG is also the most oligotrophic of all sub-tropical gyres. Previous expeditions and remote sensing studies have describes the nutrient and chlorophyll field, but there have been few simultaneous measurements of chemical properties with microbial community structure and function. This expedition is designed to investigate the impact of elemental nutrient (nitrogen, phosphorus, iron, silicon, carbon) ratios on marine productivity and microbial community composition.” This BiG RAPA dataset contains water column HPLC pigment data from samples collected via Niskin bottles attached to a CTD. Time is in GMT.</p> <p><br> This description has been reproduced using the following source:</p> <p><br> http://dmoserv3.bco-dmo.org/jg/info/BCO-DMO/CMORE/bigrapa/pigments_watcol%7Bdir=dmoserv3.bco-dmo.org:80/jg/dir,data=dmoserv3.bco-dmo.org:80/jg/serv/BCO-DMO/CMORE/bigrapa/pigments_watcol.html1%7D?</p>
Infectivity of the parasite Metschnikowia bicuspidata is decreased by time spent as a transmission spore, but exposure to phycotoxins in the water column has no effect
<p>Transmission from one host to another is a crucial component of parasite fitness. For some aquatic parasites, transmission occurs via a free-living stage that spends time in the water, awaiting an encounter with a new host. These parasite transmission stages can be impacted by biotic and abiotic factors that influence the parasite's ability to successfully infect or grow in a new host.</p> <p>Here we tested whether time spent in the water column and/or exposure to common cyanobacterial toxins impacted parasite transmission stages. More specifically, we tested whether the infectivity, within-host growth, and virulence of the fungal parasite <em>Metschnikowia bicuspidata </em>changed as a result of time spent in the water or from exposure to cyanotoxins in the water column. We exposed parasite transmission spores to different levels of one of two ecologically important cyanotoxins, microcystin-LR and anatoxin-a, and factorially manipulated the amount of time spores were incubated in water. We removed the toxins and used those same spores to infect one genotype of the common lake zooplankton <em>Daphnia dentifera</em>.</p> <p>We found that cyanotoxins did not impact parasite fitness (infection prevalence and spore yield per infected host) or virulence (host lifetime reproduction and survivorship) at the tested concentrations (10μg/L & 30μg/L). However, we found that spending longer as a transmission spore decreased a spore's chances for successful infection: spores that were only incubated for 24 hours infected approximately 75% of exposed hosts, whereas spores incubated for 10 days infected less than 50% of exposed hosts.</p> <p>We also found a negative relationship between the final spore yield from infected hosts and the proportion of hosts that became infected. In treatments where spores spent longer in the water column prior to encountering a host, infection prevalence was lower (indicating lower per spore infectivity), but each infected host yielded more spores at the end of infection. We hypothesize that this pattern may result from intraspecific parasite competition within the host.</p> <p>Overall, these results suggest that transmission spores of this parasite are not strongly influenced by cyanotoxins in the water column, but that other aspects of spending time in the water strongly influence parasite fitness.</p>
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Allen Brain Atlas
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OpenNeuro
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