Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
741
datasets available to search
ShareScore release 0.9.0
Dataset results
741 results for “Atlantic Water”
Fig. 2 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 2. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 1. A. Anterior end, lateral view. B. Paleae and first two thoracic chaetigers, lateral view. C. Thoracic notopodium and chaetae, anterior view. D. Uncini of second thoracic unciniger (thoracic chaetiger 4). Abbreviations: brph = branchiophore; nuo = nuchal organ; pal = paleae; pros(ml) = prostomium (median lobe); TN = thoracic notopodium; TU = thoracic unciniger. Scale bars: A = 200 µm; B = 100 µm; C = 20 µm; D = 15 µm.
Fig. 5 in A new species of Ampharete (Annelida: Ampharetidae) from the West Shetland shelf (NE Atlantic Ocean), with two updated keys to the species of the genus in North Atlantic waters
Fig. 5. Ampharete oculicirrata sp. nov., paratype MNCN 16.01/18482_spec. 3. A. Transitional area between thorax and abdomen, ventral view. B. Peristomium, ventral view. C. Paleae and first three thoracic chaetigers, ventral view. Abbreviations: AU = abdominal unciniger; bl = buccal lip; br = branchia; pal = paleae; per = peristomium; pros(ll) = prostomium (lateral lobe); pros(ml) = prostomium (median lobe); SG = segment; TC = thoracic chaetiger; TN = thoracic notopodium; TU = thoracic unciniger; vs = ventral shield. Scale bars: A = 200 µm; B–C = 100 µm.
Ocean model simulations in cold-water coral ecosystems off the coasts of Angola and Namibia in the Southeast Atlantic: Setup, boundary conditions and model results.
<p>The dataset contains all essential data for the setup of high-resolution local area model implementations using the ROMS-AGRIF model version 3.1 in two cold-water coral regions off the coasts of Angola and Namibia in the Southeast Atlantic. The data include computational grids, initialization fields (temperature, salinity), and boundary conditions (temperature, salinity, currents, and sea surface height) for each model area. It also includes model output, which has been used in different studies of the local oceanography of the region .</p> <p>Initialization, forcing and output data for each ROMS-AGRIF model implementation are provided in two compressed archive data files:</p> <ul> <li>Angola Margin: Angola_Model_Setup1.7z</li> <li>Namibia Margin: Namibia_Model_Setup1.7z</li> </ul> <p>The data set description is provided in the file:</p> <ul> <li>DataSet_Description_Angola_Namibia_Model.pdf</li> </ul> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Data to accompany "Stable isotope ratios in seawater nitrate reflect the influence of Pacific water along the northwest Atlantic margin".
<p>This dataset accompanies the article by Owen A. Sherwood, Samuel H. Davin, Nadine Lehmann, Carolyn Buchwald, Evan N. Edinger, Moritz F. Lehmann, and Markus Kienast: "Stable isotope ratios in seawater nitrate reflect the influence of Pacific water along the northwest Atlantic margin", Biogeosciences, 18, 1–20, 2021. <a href="https://doi.org/10.5194/bg-2021-45">https://doi.org/10.5194/bg-2021-45</a>.</p> <p>The dataset comprises nutrient concentrations and nitrate isotope ratios for “bottle” samples of seawater collected by CTD/Rosette from 25 stations along the northwest Atlantic Ocean, from the Labrador shelf to northern Baffin Bay. Seawater physical properties measured by CTD are also provided for the depths at which bottle samples were collected. The complete sampling and analytical methods are provided in the accompanying article. </p>
Figure 8. Culeolus suhmi Herdman, 1881 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 8. Culeolus suhmi Herdman, 1881. (A) Intact specimen (whole stalk not shown); (B) specimen opened along ventral mid line; branchial sac removed to show gut, gonads and muscles.
Figure 4 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 4. Polycarpa albatrossi (Van Name, 1912). (A) Specimen opened along ventral mid line; branchial sac removed; (B) gonad, top and lateral view; (C) gonad of another specimen.
Figure 9 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 9. Pyurella hernia Monniot and Monniot, 1973. (A) Specimen opened along ventral mid line; branchial sac removed; (B, C) details of the branchial sac; (D) branchial tentacles; (E) siphonal spines.
Figure 6 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 6. Styela calva Monniot, Monniot and Millar, 1976. Specimen opened along ventral mid line; branchial sac removed.
Figure 1. Corynascidia suhmi Herdman, 1882 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 1. Corynascidia suhmi Herdman, 1882. (A) Gut loop and inner surface of the atrial siphon; (B) anal margin; (C) body including top of the stalk removed from the test; (D) internal view of antero-dorsal mid line (branchial tentacles, prepharyngeal groove, dorsal tubercle and anterior part of dorsal lamina).
Figure 2 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 2. Cnemidocarpa bythia (Herdman, 1881). Specimen opened along ventral mid line, branchial sac removed.
Dataset: Surface waters in socially vulnerable areas are disproportionately under-monitored for nutrients in the U.S. South Atlantic-Gulf Region
Open the record for dataset details and reuse information.
Eddy flux measurements and transfer velocities of momentum, water vapor, and sulfur dioxide over the coastal Atlantic ocean
Open the record for dataset details and reuse information.
Data from: Dietary plasticity and broad North Atlantic origins inferred from bulk and amino acid-specific δ15N and δ13C favor killer whale range expansions into Arctic waters
<p>Killer whales (<em>Orcinus orca</em>) occur seasonally in the eastern Canadian Arctic (ECA), where their range expansion associated with declining sea ice have raised questions about the impacts of increasing killer whale predation pressure on Arctic-endemic prey. We assessed diet and distribution of ECA killer whales using bulk and compound specific stable isotope analysis (CSIA) of amino acids (AA) of 54 skin biopsies collected from 2009-2020 around Baffin Island, Canada. Bulk ECA killer whale skin δ15N and δ13C values did not overlap with potential Arctic prey after adjustment for trophic discrimination, and instead reflected foraging history in the North Atlantic prior to their arrival in the ECA. Adjusted killer whale stable isotope (SI) values primarily overlapped with several species of North Atlantic baleen whales or tuna. Amino acid (AA)-specific δ15N values indicated the ECA killer whales fed primarily on marine mammals, having similar glutamic acid δ15N – phenylalanine δ15N (δ15NGlx-Phe) and threonine δ15N (δ15NThr) as mammal-eating killer whales from the eastern North Pacific (ENP) that served as a comparative framework. However, one ECA whale grouped with the fish-eating ENP ecotype based δ15NThr. Distinctive essential AA δ13C of ECA killer whale groups, along with bulk SI similarity to killer whales from different regions of the North Atlantic, indicate different populations converge in Arctic waters from a broad source area. Generalist diet and long-distance dispersal capacity favor range expansions, and integration of these insights will be critical for assessing ecological impacts of increasing killer whale predation pressure on Arctic-endemic species.</p>
Supplementary material for "Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic"
<p><span>Dataset presented and discussed in the research article “</span><span>Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic<span><span>” by Zocher et al. The article is published in <em>Geochimica et Cosmochimica Acta</em> and was prepared by the following authors: Anna-Lena Zocher (1), Tomasz Maciej Ciesielski (2,3), Stefania Piarulli (4), Julia Farkas (4) and Michael Bau (1). </span></span></span></p> <p> </p> <p>(1) School of Science, Constructor University, Bremen, Germany</p> <p>(2) Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway</p> <p>(3) Department of Arctic Technology, The University Centre in Svalbard (UNIS), Longyearbyen, Norway</p> <p>(4) SINTEF Ocean, Trondheim, Norway</p> <p> </p> <p><span><span>Table A1 includes the general information and data for all stations, Table A2 the more detailed salinity data for stations Nidelva A, B and C. </span></span></p> <p> </p> <p><span><span>Reference research article:</span></span></p> <p><span><span> </span></span></p> <p><span><span>Zocher, A.-L., Ciesielski, T. M., Piarulli, S., Farkas, J., & Bau, M. (2024). </span></span><span><span>Rare earth elements and yttrium (REY) in fjord waters: Comparison between seawater in the Trondheimfjord (Norway), its local riverine REY sources and the North Atlantic. Geochimica et Cosmochimica Acta.</span></span></p>
Data on stock assessment and catches of blue whiting in Northeast Atlantic and adjacent waters 1981-2019
<p>Data on stock assessment and catches of blue whiting in Northeast Atlantic and adjacent waters 1981-2019 used for development of Climate Adaptation Plans (CAPs) in the Northeast Atlantic pelagic case study in the ClimeFish project </p>
Figure 7 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 7. Styela calva Monniot, Monniot and Millar, 1976. External view from the side.
Figure 10 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 10. Pyurella hernia Monniot and Monniot, 1973. External view.
Figure 3 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 3. Cnemidocarpa bythia (Herdman, 1881). External view.
Figure 5 in Deep-water ascidians from the North Atlantic (RV Academic Keldysh, cruise 46 and 49)
Figure 5. Polycarpa albatrossi (Van Name, 1912). External view from top.
Numerical Output for Analysis of Atlantic Water Pathways in Fram Strait
<p>This dataset contains data for the publication: Shifts of the Recirculation Pathways in central Fram Strait drive Atlantic Intermediate Water Variability on Northeast Greenland shelf (McPherson et al., JGR Oceans).</p>
ScienceDex guides
Understand access before you commit
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.