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118 results for “ocean observation”

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zenodo32/100

FIGURE 7 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 7. In situ photographs of three individuals of Symphurus maculopinnis, n. sp. observed on Volcano–19, Tonga Arc, West Pacific, illustrating variation in live coloration, variety of substrata inhabited by this species, and interesting posture of raising the caudal region (indicated by arrows) thereby displaying prominent spots on the posterior dorsal and anal fins. A. Specimen with conspicuous, complete ocellus on dorsal and anal fins photographed on coarse pebbly substratum. B. Specimen (ca. 12.4 cm in length based on 10 cm distance between green laser dots) with incomplete white ring around black fin spots photographed on gravelly sand-shell substratum. C. Two specimens photographed on gravelly sand-shell substratum. Smaller specimen features complete ocellus on dorsal and anal fins and slight banding on body; larger specimen features little, if any, white pigment around periphery of black fin spots and distinct banding on body.

opennotspecifiedDec 2011View details →
zenodo32/100

FIGURE 4 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 4. Radiograph of head and anterior body region of Holotype (USNM 398820) of Symphurus maculopinnis, n. sp., depicting 1–2–2–2–1 pattern of interdigitation of anterior dorsal-fin pterygiophores and neural spines and nine abdominal vertebrae. Note also the sediment in the alimentary tract visible in this xray.

opennotspecifiedDec 2011View details →
zenodo32/100

FIGURE 1 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 1. Holotype of Symphurus maculopinnis, n. sp. (now USNM 398820), photographed in situ just prior to collection by ROV ROPOS at 561 m on Volcano–19, Tonga Arc, West Pacific. Manipulator is holding a scoop net.

opennotspecifiedDec 2011View details →
zenodo32/100

FIGURE 2. Symphurus maculopinnis, n 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 2. Symphurus maculopinnis, n. sp. (Holotype USNM 398820; female, 84.4 mm SL), collected at 561 m on Volcano– 19, Tonga Arc, West Pacific. A. Ocular-side of alcohol-preserved specimen. B. Blind-side of same specimen.

opennotspecifiedDec 2011View details →
zenodo32/100

GPS data set used in the paper "Anelastic response of the Earth's crust underneath the Canary Islands revealed from ocean tide loading observations"

<p>Data set of continuous GPS observations at CVAN site in Gran&nbsp;Canaria (Canary Islands, Spain). The period of observation&nbsp;spans from July 3,&nbsp;&nbsp;2013 to November 30, 2015. Data was acquired during the execution of the research project GCL2011-25494 of the Spanish Research Agency.&nbsp;</p> <p>This data set belongs to the Research Group &lsquo;Geodesia&rsquo; of the University Complutense of Madrid, Spain, and has been used in the paper &quot;Anelastic response of the Earth&#39;s crust underneath the Canary Islands revealed from ocean tide loading observations&quot;, by&nbsp;Jose Arnoso, Machiel S. Bos, Maite Benavent, Nigel T. Penna, Sergio Sainz-Maza, submitted to Geophysical Journal International, 2022.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

Variability of Atmospheric CO2 Over the Arctic Ocean: Insights From the O-Buoy Chemical Observing Network

<p>This dataset contains relevant files for the GEOS-Chem chemical transport model simulations used in the following manuscript:&nbsp;Graham, K. A., Friedrich, G., Rauschenberg, C. D., Williams, C. R., Bottenheim, J. W., Chavez, F. P., Halfacre, J. W., Holmes, C. D., Perovich, D. K., Shepson, P. B., Simpson, W. R., Tans, P. P., &amp; Matrai, P. A. (2022). Variability of Atmospheric CO<sub>2</sub>&nbsp;Over the Arctic Ocean.&nbsp;<em>Journal of Geophysical Research: Atmospheres</em>. In Review.</p>

opencc-by-4.0Jan 2023View details →
zenodo32/100

Data for "Satellite-observed strong subtropical ocean warming as an early signature of global warming"

<p>Data for &ldquo;Satellite-observed strong subtropical ocean warming as an early signature of global warming&rdquo;</p>

opencc-by-4.0Apr 2023View details →
dryad32/100

Data from: Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning

Open the record for dataset details and reuse information.

publicFeb 2019View details →
zenodo28/100

State estimation of surface and deep flows from sparse SSH observations of geostrophic ocean turbulence using Deep Learning

<p>This is a data repository in support of the publication &quot;State estimation of surface and deep flows from sparse SSH observations of geostrophic ocean turbulence using Deep Learning&quot; by Manucharyan et al. (2020),&nbsp;Journal of Advances in Modeling Earth Systems.&nbsp;The zipped file contains 10-day-separated&nbsp;snapshots of surface and deep ocean streamfunctions&nbsp;from the two-layer quasigeostrophic model of ocean turbulence. The included Python scripts demonstrate the efficacy of Deep Learning&nbsp;in temporal interpolation and state estimation given partial observations of the surface ocean turbulence.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Supplementary material 1 from: Cunha MR, Génio L, Pradillon F, Clavel Henry M, Beaulieu S, Birch J, Campuzano FJ, Carretón M, De Leo F, Gula J, Laming S, Lindsay D, Matos FL, Metaxas A, Meyer-Kaiser K, Mills S, Queiroga H, Rodrigues CF, Sarrazin J, Watanabe H, Young R, Young CM (2020) Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton. Research Ideas and Outcomes 6: e54284. https://doi.org/10.3897/rio.6.e54284

Abstracts of keynote talks

opencc-zeroMay 2020View details →
zenodo28/100

Figure 2 from: Cunha MR, Génio L, Pradillon F, Clavel Henry M, Beaulieu S, Birch J, Campuzano FJ, Carretón M, De Leo F, Gula J, Laming S, Lindsay D, Matos FL, Metaxas A, Meyer-Kaiser K, Mills S, Queiroga H, Rodrigues CF, Sarrazin J, Watanabe H, Young R, Young CM (2020) Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton. Research Ideas and Outcomes 6: e54284. https://doi.org/10.3897/rio.6.e54284

Figure 2 Sustained meroplankton observations - a basin-scale approach. Low-cost samplers for deep-ocean observations (colonization modules coupled with larval traps) deployed at moorings or mounted on landers of the EMSO-ERIC distributed observatories and covering different water masses (Project LO3CATED; Génio, Cunha and Young). NACW: North Atlantic Central Water; AIW: Antarctic Intermediate Water; MOW: Mediterranean Outflow Water; NADW: North Atlantic Deep Water; MABW: Modified Antarctic Bottom Water.

opencc-by-4.0May 2020View details →
zenodo28/100

Figure 1 from: Cunha MR, Génio L, Pradillon F, Clavel Henry M, Beaulieu S, Birch J, Campuzano FJ, Carretón M, De Leo F, Gula J, Laming S, Lindsay D, Matos FL, Metaxas A, Meyer-Kaiser K, Mills S, Queiroga H, Rodrigues CF, Sarrazin J, Watanabe H, Young R, Young CM (2020) Foresight Workshop on Advances in Ocean Biological Observations: a sustained system for deep-ocean meroplankton. Research Ideas and Outcomes 6: e54284. https://doi.org/10.3897/rio.6.e54284

Figure 1 Workshop participants "under the microscope" at the campus of Universidade de Aveiro: Back row, left to right: Fábio Matos, Jonathan Gula, Henrique Queiroga, Rob Young, Sven Laming, Kirstin Meyer-Kaiser, Jozée Sarrazin, Craig M. Young, Fabio De Leo. Front row, left to right: Jim Birch, Morane Clavel Henry, Marina R. Cunha, Clara Rodrigues, Florence Pradillon, Anna Metaxas.

opencc-by-4.0May 2020View details →
zenodo28/100

A New Frontier in Ionospheric Observations: GPS Total Electron Content Measurements from Ocean Buoys

<p>Ionospheric Total Electron Content (TEC) data from a pair of RIO GPS receivers that are deployed on National Oceanic and Atmospheric Administration (NOAA) Tropical Atmosphere Ocean (TAO) buoys in the Pacific Ocean. TEC measurements&nbsp;collected between September 1, 2018 and December 31, 2019 are included&nbsp;in these datasets.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

Figure 2 in Observations on age and reproduction of the oceanic squid Ancistrocheirus lesueurii (d'Orbigny, 1842) (Cephalopoda: Ancistrocheiridae)

Figure 2. Ancistrocheirus lesueurii. (A) Ventral view of the hectocotylus of a mature intersexual male (SAM-S2174, ML 212 mm). A photophore is indicated by the black arrow; (B) the cement body of a spermatophore (from male # 10 in Hoving et al. 2006) with the spermatophore's outer tunic removed.

opencc-by-4.0Feb 2014View details →
zenodo28/100

Figure 1 in Observations on age and reproduction of the oceanic squid Ancistrocheirus lesueurii (d'Orbigny, 1842) (Cephalopoda: Ancistrocheiridae)

Figure 1. Ancistrocheirus lesueurii. (A) Ventral view of a large female specimen (540 mm ML); (B) dorsal view of the outer collar (oc) and nuchal cartilage (nc) with the anterior mantle and the mantle component of the nuchal cartilage folded backwards; the specimen is oriented with its anterior region towards the bottom of the photograph; (C) lateral view of the left specialized area for spermatangia deposition with sperm and spermatangia indicated by the black arrow (outer collar cut and folded laterally). The inner collar (ic), nuchal cartilage (nc) and mantle component of the nuchal cartilage (mnc) are also indicated.

opencc-by-4.0Feb 2014View details →
zenodo28/100

GBIF custom download of all ocean data from: Establishing the foundation for the global observing system for marine life

<p>This archive has 3&nbsp;files:&nbsp;</p> <p>ocean_map.pdf - A map of&nbsp;coastal and marine records used to filter GBIF datasets.</p> <p>citations.txt - a list of citation descriptions of all of the datasets used in the export.&nbsp;</p> <p>ocean_datasets_export.tsv -&nbsp;GBIF custom export from&nbsp;4 August 2020</p> <ul> <li>datasetkey : GBIF datasetkey&nbsp;</li> <li>datasetname : GBIF dataset name</li> <li>publisher : GBIF publisher name</li> <li>publishingorgkey : GBIF publisher key</li> <li>ocean_occ_count : How many occurrences occurred in the ocean</li> <li>occ_count_total : Total occurrences in the ocean&nbsp;</li> <li>number_of_years : Number of years the dataset&nbsp;published occurrences</li> <li>unique_years : Unique values of published years separated by ;</li> <li>percent_in_ocean : Percentage of dataset&#39;s occurrences that fall within the polygons from ocean_map.pdf</li> <li>is_sampling_event : is the dataset marked as a sampling event dataset by GBIF?&nbsp;</li> <li>is_obis : is the dataset published by OBIS?&nbsp;</li> <li>is_past_10_years : has the dataset been published in the last 10 years?&nbsp;</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

Data for the article entitled "Strongly Coupled Data Assimilation of Ocean Observations into an Ocean-Atmosphere Model" by Tang et al. 2021, GRL

<p>We stored the output data for the free run and the data assimilation experiments.&nbsp;All the data is stored in netCDF format and named by XX1_ensmean_XX2_monmean.nc. The prefix XX1 indicates the simulation scenarios, where &#39;free_run&#39; refers to the free run, &#39;wcda&#39; the weakly coupled assimilation run, &#39;scda&#39; the strongly coupled data assimilation run without vertical localization for atmosphere, and &#39;scda_vert&#39; the strongly coupled assimilation&nbsp;run&nbsp;with vertical localization for atmosphere. The XX2 represents variables from the simulations, where &#39;temp2&#39; refers to&nbsp;2 meter temperature, &#39;u10&#39;&nbsp;10 metre U wind component, &#39;v10&#39;&nbsp;10 metre V wind component, &#39;st_p&#39; temperature at pressure levels, &#39;uv_p&#39; U and V component of wind at pressure levels, and &#39;q_p&#39; specific humidity at pressure levels.</p>

opencc-by-4.0Nov 2021View details →
zenodo28/100

Dataset to accompany the manuscript "Drifter observations reveal intense vertical velocity in a surface ocean front"

<p>This dataset has been used in the publication &quot;Drifter observations reveal intense vertical velocity in a surface ocean front&quot;</p> <p>The dataset contains data from the following platforms<br> &nbsp;&middot; Drifters<br> &nbsp;&middot; Underway-CTD</p>

opencc-by-4.0Apr 2022View details →
zenodo28/100

Fig. 3 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 3. The illustrations of the variety of forms, all described as Fusopsis, from Kufferath (1950) that he found in plankton samples from the southern North Sea and the English Channel (NW Europe). The original illustrations shown here as A to F appear in Kufferath's report, respectively, as 16, 17, 20, 18, 19, and 21.

opencc-by-4.0Apr 2023View details →
zenodo28/100

Fig. 1 in On Papulifères, putative ciliate cysts of diverse morphologies, with new observations from the plankton of the Chukchi Sea (Arctic Ocean)

Fig. 1. Meunier's Papulifères from Meunier 1910, 1919. A–I: Fusopsis forms; J–M: Piropsis forms; N–Y: Sphaeropsis forms. Meunier's names for each, approximate sizes as he depicted them (figures above were re-sized to fit into a single plate), and locations in his reports are given in Table 1.

opencc-by-4.0Apr 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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