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118 results for “ocean observation”
Western Indian Ocean coral diversity observations from 1998–2022
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Data from: Direct observational evidence of strong CO2 uptake in the Southern Ocean
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Biophysical larval dispersal models of observed bonefish (Albula vulpes) spawning events in Abaco, The Bahamas: An assessment of population connectivity and ocean dynamics
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CNR global observation-based OMEGA3D quasi-geostrophic vertical and horizontal ocean currents (1993-2018): validation subset.
<p>A subset of the Global Ocean Multi Observations OMEGA3D product is provided here for comparison with independent in situ observations and model data. OMEGA3D product has been developed by the Consiglio Nazionale delle Ricerche in the framework of the Copernicus Monitoring Environment Marine Service (https://doi.org/10.25423/cmcc/multiobs_glo_phy_w_rep_015_007). It consists of 26 year of 3D quasi-geostrophic vertical and horizontal ocean currents (January 1993-December 2018) provided over a regular grid at 1/4° horizontal resolution, with 75 non-uniformly spaced vertical levels between the surface and 1500 m depth. The subset provided here includes horizontal velocities at 15 m and 1000 m depths (that can be used for validation with independent velocity estimates from SVP drifters and Argo floats displacements, respectively) and vertical velocities at 100 m depth (for comparison with model re-analyses). OMEGA3D product is delivered with a weekly sampling (representative of each Wednesday). The velocities are obtained by solving a Q-vector formulation of the Omega equation that explicitly considers the effect of both geostrophic advection and upper layer turbulent mixing as described by KPP parameterization. Omega forcings are estimated from the CMEMS observation-based ARMOR3D temperature and salinity multi-year data and ERA-Interim surface fluxes. </p>
FIGURE 4 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 4. Photomicrographs of Deltamysis holmquistae appendages. Length of scale bar is given in parentheses for each photo. A) Maxilla (0.05 mm); B) thoracic endopod 1 (0.05); C, D, & E) male thoracic endopod 2 (0.05, 0.01, & 0.02); F & G) mandibular palps (0.05 & 0.03). Abbreviations: car, carpus; dac, dactylus; endi, endite; endo, endopod; exo, exopod; mer, merus; pro, propodus; dam, damaged seta; art, article.
FIGURE 3. Deltamysis holmquistae male, B & D in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 3. Deltamysis holmquistae male, B & D (2.9 mm); Jacksonville, Florida, females, A & E (3.0 mm), C (2.3 mm); Jacksonville, Florida; F (3.2 mm); Port St. John, Florida. A. Thoracic endopod 5. B. Thoracic endopod 6. C. Thoracic endopod 7. Telsons, posterior ends D–F. Scale: A–F, 0.1 mm.
FIGURE 5 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 5. Photomicrographs of Deltamysis holmquistae appendages. Length of scale bar is given in parentheses for each photo. A) right mandible (0.07 mm); B) left mandible (0.05); C) right mandible (0.05); D) left mandible (0.04); E) right mandible (0.05); and F) left mandible (0.05). Abbreviations: in, incisor; lm, lacinia mobilis; mo, molar; spr, spine row.
FIGURE 2. Deltamysis holmquistae female, 3.5 in Redescription of Deltamysis holmquistae Bowman & Orsi, 1992 (Crustacea Mysida: Mysidae), a mysid species new to the Atlantic Ocean with observations on the taxonomic status of Kochimysis Panampunnayil & Biju, 2007
FIGURE 2. Deltamysis holmquistae female, 3.5 mm (A, E, G); female, damaged (B & C), male, 2.9mm (D, F); Jacksonville, Florida. A. Dorsal view. B. Mandibles, gnathobasic processes, posterior (caudal) view. C. Maxilla, coxal endite omitted. D. Thoracopod 2, male with enlargement of papillation. E. Thoracic endopod 2, distal end, female. F. Thoracic endopod 3 with enlargement of distal end. G. Thoracic endopod 4. Scale: A, 0.5 mm; B, 0.15; C-G, 0.1.
Data from: Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning
1. A key stage underpinning marine spatial planning (MSP) involves mapping the spatial distribution of ecological processes and biological features, as well the social and economic interests of different user groups. One sector, merchant shipping (vessels that transport cargo or passengers), however, is often poorly represented in MSP due to a perceived lack of fine-scale spatially explicit data to support decision making processes. 2. Here, using the Republic of Congo as an example, we show how publicly accessible satellite derived Automatic Identification System (S-AIS) data can address gaps in ocean observation data for shipping at a national scale. We also demonstrate how fine-scale (0.05 km2 resolution) spatial data layers derived from S-AIS (intensity, occupancy) can be used to generate maps of vessel pressure to provide an indication of patterns of impact on the marine environment and potential for conflict with other ocean-user groups. 3. We reveal that passenger vessels, offshore service vessels, bulk carrier and cargo vessels and tankers account for 93.7% of all vessels and vessel traffic annually, and that these sectors operate in a combined area equivalent to 92% of Congo's exclusive economic zone(EEZ) – far exceeding the areas allocated for other user-groups (conservation, fisheries and petrochemicals). We also show that the shallow coastal waters and habitats of the continental shelf are subject to more persistent pressure associated with shipping; and that the potential for conflict among user groups is likely to be greater with fisheries, whose zones are subject to the highest vessel pressure scores than with conservation or petrochemical sectors. 4. Synthesis and applications. Shipping dominates ocean use, and so excluding this sector from decision making could lead to increased conflict among user groups, poor compliance and negative environmental impacts. This study demonstrates how Satellite derived Automatic Identification System data can provide a comprehensive mechanism to fill gaps in ocean observation data and visualise patterns of vessel behaviour and potential threats to better support marine spatial planning at national scales.13-Feb-2018
Data Processing for a Small-Scale Long-Term Coastal Ocean Observing System Near Mobile Bay, Alabama: A Geoscience Papers of the Future (GPF) Data Set
<p>The Dauphin Island Sea Lab (DISL) has been operating a permanent moored oceanographic station at 30 05.410'N, 88 12.694'W, 25 km southwest of the entrance to Mobile Bay, Alabama, since 2004. It collects hydrographic and current velocity data.</p> <p>This set of data files was collected between 27 Jan and 18 May 2011. It includes the raw data at initial download from the instruments, several intermediate processing steps, and final processed files ready for initial scientific analysis.</p> <p>The files have been prepared as supplementary material for a Geoscience Paper of the Future (GPF) in prep for publication at Earth and Space Science, as part of the OntoSoft GPF Initiative.</p> <p> </p>
Data Processing for a Small-Scale Long-Term Coastal Ocean Observing System Near Mobile Bay, Alabama: A Geoscience Papers of the Future (GPF) Workflow Diagram
<p>The Dauphin Island Sea Lab (DISL) has been operating a permanent moored oceanographic station at 30 05.410'N, 88 12.694'W, 25 km southwest of the entrance to Mobile Bay, Alabama, since 2004. It collects hydrographic and current velocity data.</p> <p>This diagram shows the processing steps for data from the instruments at this mooring, from initial download to initial scientific analysis. The accompanying text explains how to apply the workflow to the example dataset (10.5281/zenodo.18943) using the provided software (10.5281/zenodo.32741). </p> <p>The files have been prepared as supplementary material for a Geoscience Paper of the Future (GPF) in prep for publication at Earth and Space Science, as part of the OntoSoft GPF Initiative.</p>
Southern Ocean Air-Sea Carbon Fluxes from Aircraft Observations: Modeling Datasets
The Southern Ocean plays an important role in determining atmospheric CO2, yet estimates of air-sea CO2 flux for the region diverge widely. We constrain Southern Ocean air-sea CO2 exchange by relating fluxes to horizontal and vertical CO2 gradients in atmospheric transport models and then apply atmospheric observations of these gradients to estimate fluxes. Aircraft-based measurements of the vertical atmospheric CO2 gradient provide robust flux constraints. We find an annual-mean flux of –0.55±0.23 Pg C yr–1 (net uptake) south of 45°S during 2009–2018. This is consistent with the mean of atmospheric-inversion estimates and surface-ocean pCO2-based products, but our data indicate stronger annual-mean uptake than suggested by recent interpretations of profiling-float observations.
Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014-2022
<p>This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.</p>
Tracer and Observationally Derived Constraints on Diapycnal Diffusivities in an Ocean State Estimate
<p>Data used to generate figures in Trossman et al. (2022) in Ocean Science</p>
Subspecies and Distribution. L.o.obscurusGray,1828—coastalwatersofSAfrica(Namibia,SouthAfrica),PrinceEdwardandAmsterdamIs. L. o. fitzroyi Waterhouse, 1838 — coastal waters of S South America as far N as Peru in the Pacific Ocean and N Argentina in the Atlantic Ocean. Dusky Dolphins of a still undescribed form (New Zealand Dusky Dolphins) are present near New Zealand, Campbell, Auckland, and Chatham Is, and an uncertain subspecies has also been observed infrequently off the Falkland Is, Gough I, S Australia, and Tasmania. in Delphinidae
Subspecies and Distribution. L.o.obscurusGray,1828—coastalwatersofSAfrica(Namibia,SouthAfrica),PrinceEdwardandAmsterdamIs. L. o. fitzroyi Waterhouse, 1838 — coastal waters of S South America as far N as Peru in the Pacific Ocean and N Argentina in the Atlantic Ocean. Dusky Dolphins of a still undescribed form (New Zealand Dusky Dolphins) are present near New Zealand, Campbell, Auckland, and Chatham Is, and an uncertain subspecies has also been observed infrequently off the Falkland Is, Gough I, S Australia, and Tasmania.
Electrical ocean conductivity variability from observations and its budget from an ocean state estimate
<p>These are the data used to generate the figures in Trossman and Tyler (submitted to GRL, 2022).</p>
Spatio-temporal Features of Intra-seasonal Oceanic Variability in the Philippine Sea from Mooring Observations and Numerical Simulations
<p>This dataset contains the NPOCE (http://npoce.org.cn) data used in the following submission for Journal of Geophysical Research: Oceans:</p> <p>Hu, S., J. Sprintall, C. Guan, B. Sun, F. Wang, G. Yang, F. Jia, J. Wang, D. Hu, and F. Chai (2018), Spatio-temporal Features of Intra-seasonal Oceanic Variability in the Philippine Sea from Mooring Observations and Numerical Simulations, Journal of Geophysical Research: Oceans.</p> <p>Variables in this dataset are eddy kinetic energy (EKE) observed by the NPOCE moorings, longitudes, latitudes, depths and dates.</p> <p> </p> <p> </p>
FIGURE 6 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 6. In situ photographs of two individuals of Symphurus maculopinnis, n. sp., observed on Volcano–19, Tonga Arc, West Pacific, featuring different asymmetries. A. Specimen with sinistral asymmetry photographed at ca. 439 m. B. Frame grab of specimen featuring reversed (dextral) asymmetry videographed at ca. 560 m. Note also posture of both fish with raised caudal regions displaying prominent spots on posterior dorsal and anal fins as they swim over the bottom.
FIGURE 5 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 5. Close-up views of ocular (A) and blind (B) sides of head of Symphurus maculopinnis, n. sp. (Holotype USNM 398820; female, 84.4 mm SL) collected at 561 m on Volcano–19, Tonga Arc, West Pacific. Arrows indicate areas with conspicuous rows of dermal papillae.
FIGURE 3 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 3. Radiograph of Symphurus maculopinnis, n. sp. (Holotype USNM 398820; female, 84.4 mm SL), collected at 561 m on Volcano–19, Tonga Arc, West Pacific.
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.