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78 results for “Surface coastal waters”
December 2003 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in December, 2003. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
March 2004 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in March, 2004. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
May 2004 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in May, 2004. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
March 2002 surface water phytoplankton productivity for 10 Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected by Niskin bottle or by hand from just beneath the surface during low tide surveys at or near 10 GCE-LTER sampling sites in March 2002. The incorporation of radiolabelled bicarbonate in response to varying levels of illumination was measured using a photosynthetron apparatus. Photosynthesis-irradiance (P-I) curves constructed from these measurements will be used in conjunction with algal biomass and PAR versus depth measurements to estimate instantaneous gross primary production in the water at each GCE sampling site. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
Surface water DIC, total alkalinity, and pH for the September 2002 through December 2004 Georgia Coastal Ecosystems LTER oceanographic surveys
Surface water samples for total dissolved inorganic carbon (DIC), total alkalinity (TAlk), and pH were collected from the Altamaha River, Doboy Sound, Sapelo River and the Duplin River (anchor station near Marsh Landing) during the Georgia Coastal Ecosystems LTER oceanographic surveys from September 2002 through December 2004. DIC was measured using a custom automated DIC analyzer. Total alkalinity was determined by Gran titration. pH of surface water at stations was measured on board using a glass electrode. This study was part of the GCE oceanographic monitoring program, and will be repeated periodically.
Surface water DIC, total alkalinity, and pH for the March 2001 Georgia Coastal Ecosystems LTER oceanographic survey
Surface water samples for total dissolved inorganic carbon (DIC), total alkalinity (TAlk), and pH were collected from the Altamaha River, Doboy Sound, Sapelo River and the Duplin River (anchor station near Marsh Landing) during March 19-21, 2001. DIC was measured using a custom automated DIC analyzer. Total alkalinity was determined by Gran titration. pH of surface water at stations was measured on board using a glass electrode. This study was part of the GCE oceanographic monitoring program, and will be repeated periodically.
Surface water DIC, total alkalinity, and pH for the June 2001 Georgia Coastal Ecosystems LTER oceanographic survey
Surface water samples for total dissolved inorganic carbon (DIC), total alkalinity (TAlk), and pH were collected from the Altamaha River, Doboy Sound, Sapelo River and the Duplin River (anchor station near Marsh Landing) during June 26-28, 2001. DIC was measured using a custom automated DIC analyzer. Total alkalinity was determined by Gran titration. pH of surface water at stations was measured on board using a glass electrode. This study was part of the GCE oceanographic monitoring program, and will be repeated periodically.
Surface water DIC, total alkalinity, and pH for the October 2001 Georgia Coastal Ecosystems LTER oceanographic survey
Surface water samples for total dissolved inorganic carbon (DIC), total alkalinity (TAlk), and pH were collected from the Altamaha River, Doboy Sound, Sapelo River and the Duplin River (anchor station near Marsh Landing) during October 11-14, 2001. DIC was measured using a custom automated DIC analyzer. Total alkalinity was determined by Gran titration. pH of surface water at stations was measured on board using a glass electrode. This study was part of the GCE oceanographic monitoring program, and will be repeated periodically.
Surface water DIC, total alkalinity, and pH for the November 2001 Georgia Coastal Ecosystems LTER oceanographic survey
Surface water samples for total dissolved inorganic carbon (DIC), total alkalinity (TAlk), and pH were collected from the Altamaha River, Doboy Sound, Sapelo River and the Duplin River (anchor station near Marsh Landing) during November 26-29, 2001. DIC was measured using a custom automated DIC analyzer. Total alkalinity was determined by Gran titration. pH of surface water at stations was measured on board using a glass electrode. This study was part of the GCE oceanographic monitoring program, and will be repeated periodically.
June 2001 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in June, 2001. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
October 2001 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in October, 2001. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
November 2001 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in November, 2001. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
March 2002 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in March, 2002. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
September 2002 surface water bacterial productivity at ten Georgia Coastal Ecosystems LTER sampling sites
Surface water samples were collected during low tide survays near ten Georgia Coastal Ecosystem LTER sampling sites in September, 2002. The incorporation of tritiated leucine in unfiltered samples during one hour incubations was measured using a standard microcentrifuge method to estimate bacterial productivity in each sample. This study was part of the GCE-LTER hydrographic monitoring program, and will be repeated quarterly.
Lagrangian Water Age trajectories initiated from the coastal 500m isobath and derived from surface velocities obtained from satellite observations
We conduct a Lagrangian particle trajectory analysis of surface velocities. We define an “offshore water age” as the time taken by a water parcel to be advected backward in time from its current position along its trajectory until it crosses the 500 m isobath. The rationale of this diagnostic is to detect filaments of coastal water advected offshore by horizontal transport and to estimate the time for water parcels in the filament o leave the coastal area. For example, a value of “20 days” assigned to a pixel means that the water parcel in that area was in the coastal area approximately 20 days before, where it was likely enriched in nutrients.
An integrated assessment of microplastic pollution in coastal surface water and sediment of Japan
Open the record for dataset details and reuse information.
Supplementary material, Figure S11 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S11 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S11. Comparison between the sizes of microparticles collected in surface waters in the Santos Basin during winter and summer in the period 2020-2021.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>
Supplementary material, Figure S10 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S10 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S10. Relative distribution of different sizes of microparticles collected in surface waters in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p>
Supplementary material, Figure S9 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S9 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S9. Color distribution of microparticles collected during the winter and summer in surface waters of the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin. S, Summer. W, Winter.</p>
Supplementary material, Figure S8 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.
<p>Supplementary material, Figure S8 from Hudson Carvalho Ferreira and Gisele Lôbo-Hajdu (accepted) Preliminary assessment of microplastic pollution in surface waters of the Santos Basin: abundance and diversity in the most important oil and gas exploration hub in Brazil. Ocean and Coastal Research.</p> <p>Figure S8. Distribution of the concentration of items and colors of particles at each sampling point in surface waters collected in the Santos Basin in the period 2020-2021.<br>Caption: SB, Santos Basin.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.