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344 results for “North Atlantic Ocean”
FIGURE 11. Barathronus diaphanus MNHN 1995-914 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 11. Barathronus diaphanus MNHN 1995-914, male, SL 104 mm (M. Krag photo).
FIGURE 14 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 14. Right otolith from holotype of Barathronus linsi: A—inner view. B—ventral view.
FIGURE 4 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 4. Right otolith from holotype of Barathronus affinis (from Nielsen 1969).
FIGURE 13. Barathronus linsi, MNRJ 41723 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 13. Barathronus linsi, MNRJ 41723, holotype, male, SL 101 mm (M. Krag photo).
FIGURE 2 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 2. Records of Indo-Pacific Barathronus species. Numbers indicate several stations.
FIGURE 8 in Revision of the circumglobal genus Barathronus (Ophidiiformes, Bythitidae) with a new species from the eastern North Atlantic Ocean
FIGURE 8. Left otolith of Barathronus bicolor, ZMUC P77708, male, SL 90 mm.
Fig. 1. A in Setaphyes elenae sp. nov., a new species of mud dragon (Kinorhyncha: Allomalorhagida) from Skagerrak (north-eastern Atlantic Ocean)
Fig. 1. A. Map showing the sampling area of Syd-Hällsö Island (Strömstad, Sweden). B. Detail. Red point shows the specific sampling point.
Developing a deep Learning network to retrieve ocean hydrographic profiles in the North Atlantic from combined satellite and in situ measurements: training datasets
<p>We provide here the datasets used for the development of a deep learning algorithm which is presently candidate for the development of a daily 3D ocean product covering the North Atlantic at 1/10° resolution, over the 2010-2018 period, as part of the European Space Agency World Ocean Circulation project (ESA-WOC). The method is based on a stacked Long Short-Term Memory neural network, coupled to a Monte-Carlo dropout approach, and allows to project satellite-derived sea surface temperature, sea surface salinity and absolute dynamic topography data at depth after training with sparse co-located in situ vertical hydrographic profiles (Buongiorno Nardelli, 2020, doi:<a href="https://www.researchgate.net/deref/http%3A%2F%2Fdx.doi.org%2F10.3390%2Frs12193151?_sg%5B0%5D=0xE-347r7Hvb80klJcEo811AhUiXq-twG_E6l4yB-BfIKkVtW-lVLGcO02mTFkUczvozYYI0WCPyUBFR3kzWNGGZKg.ftvLheFrzHIJriO4qW2bdxalvR_TWt3MpwUfvto3EemhRgvDRGwJ9Mdy4Xr0IcGCfICivf4j-VqTgKxVvXRogA">10.3390/rs12193151</a>). </p> <p>The training/test dataset presented here includes different sets of co-located temperature and salinity vertical profiles and corresponding satellite surface data: </p> <ul> <li>in situ observations extracted from the quality controlled Argo and CTD profiles produced by Copernicus Marine Environment Monitoring Service CORA 5.2 (<a href="http://marine.copernicus.eu/services-portfolio/access-to-products/">http://marine.copernicus.eu/services-portfolio/access-to-products/</a>, product_id: INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b, doi: 10.17882/46219TS1, Szekely et al., 2019) and interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals);</li> <li>climatological profiles extracted from World Ocean Atlas 2013 optimally interpolated monthly fields (Locarnini et al., 2013; Zweng et al., 2013), interpolated through a spline on a regularly spaced vertical grid (with 10 m intervals), upsized to a 1/10° horizontal grid through a cubic spline and linearly interpolated in time between the central day of each month;</li> <li>co-located Sea Surface Temperature taken from the level 4 (L4, i.e. interpolated) multi-year reprocessed Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) developed by U.K. Met Office and distributed (upon free registration) through the Copernicus Marine Environment Monitoring Service (CMEMS, <a href="http://marine.copernicus.eu/services-portfolio/access-to-products/">http://marine.copernicus.eu/services-portfolio/access-to-products/</a>, product_id=SST_GLO_SST_L4_REP_OBSERVATIONS_010_011);</li> <li>co-located Sea Surface Salinity taken from dataset developed within ESA-WOC project (https://doi.org/10.5281/zenodo.3943813);</li> <li>co-located Absolute Dynamic Topography (ADT) data distributed by CMEMS as reprocessed data (<a href="http://marine.copernicus.eu/services-portfolio/access-to-products/">http://marine.copernicus.eu/services-portfolio/access-to-products/</a>, product_id: SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047), upsized here to the ESA-WOC 1/10°x1/10° grid through a cubic spline and adjusted to insitu steric heights by regressing steric heights and co-located ADT data in the neighbourhood of each grid point, considering matchups within a temporal window of 10 days (as in Buongiorno Nardelli et al., 2017).</li> </ul>
FIGURE 2. Ambasia anophthalma n in New Lysianassoid Amphipods from the North Eastern Atlantic Ocean
FIGURE 2. Ambasia anophthalma n. sp., holotype female. Scale 2 mm.
FIGURE 7. Bathyamaryllis biscayensis n in New Lysianassoid Amphipods from the North Eastern Atlantic Ocean
FIGURE 7. Bathyamaryllis biscayensis n. sp., holotype female. Scale 2 mm.
• Arctic, North Pacific, North Atlantic, and Southern oceans. in Balaenidae
• Arctic, North Pacific, North Atlantic, and Southern oceans.
Protistan metabolism across the western North Atlantic Ocean revealed through autonomous underwater profiling
<p>Metatranscriptomic assembly, predicted open reading frames, counts, and annotation files from seawater samples obtained in the western North Atlantic Ocean. GitHub notebooks are located here: <a href="https://github.com/cnatalie/BATS">https://github.com/cnatalie/BATS</a>. Assembly was created using the <em>eukrhythmic</em> pipeline: <a href="https://github.com/AlexanderLabWHOI/eukrhythmic">https://github.com/AlexanderLabWHOI/eukrhythmic</a></p> <ul> <li>merged_merged.fasta.gz = Final assembly, merged across 44 metatranscriptomes using 4 different assemblers</li> <li>merged.fasta.transdecoder.pep.zip = Open reading frames of final assembly, predicted by Transdecoder </li> <li>merged.fasta.transdecoder-estimated-taxonomy.out.zip = EUKulele-derived taxonomic annotations of ORFs using a combined EukProt, PhyloDB, and RefSeq reference database</li> <li>newtaxa.eukprot.merged.fasta.transdecoder-estimated-taxonomy.out.zip = similar to above, but manually curated mid-level taxonomy for supergroups of interest</li> <li>eggnog.emapper.annotations.zip = eggnog-mapper annotations of ORFs</li> <li>table.tab.zip = counts associated with ORFs (merged.fasta.transdecoder.pep) generated with Salmon</li> <li>TPM_table.tab.zip = community-wide TPM (normalized) counts associated with ORFs (merged.fasta.transdecoder.pep) generated with Salmon</li> <li>copiesperL_ORFs_FactorIncluded.csv.zip = raw counts associated with ORFs (merged.fasta.transdecoder.pep) converted to copies per L taking into account spiked-in RNA standard concentration (copies), standard reads mapped, volume of seawater filtered, and dilution factor used in library preparation</li> <li>assembly.table.tab.zip = counts associated with final assembly (merged_merged.fasta) generated with Salmon</li> <li>SamplesViewReportCLIO_AE1913merged_trans210506_updated220606exclusive.zip = Exclusive spectral counts associated with ORFs (merged.fasta.transdecoder.pep). Peptide-spectrum matches were performed using Sequest algorithm within IseNode Proteome Discoverer 2.2.0.388 (Thermo Fisher Scientific). Scaffold 5.1.2 (Proteome Software) was used for protein grouping and exclusive spectral counting. Note, the (+x) data has been removed from protein names, which indicates whether (and how many) proteins sharing peptides were designated into the same protein group. </li> <li>cds.length2.tab.zip = Length of proteins (ORFs) in nucleotide base pairs</li> <li>CTD.zip = CTD files from cruise AE1913</li> </ul>
FIGURE 7 in A new Western North Atlantic Ocean kitefin shark (Squaliformes: Dalatiidae) from the Gulf of Mexico
FIGURE 7. Mollisquama mississippiensis sp. nov. capture site (*).
Figure 4 in Contribution to knowledge of the genus Haploops, a new location for Haploops lodo (Crustacea: Amphipoda: Ampeliscidae) from the bathyal North Atlantic Ocean with a complement to the description of the species
Figure 4. Map of the actual distribution of Haploops lodo.
FIG. 1 in Parasites of the blue shark (Prionace glauca L.), in the North-East Atlantic Ocean
FIG. 1. General area from which blue sharks were collected during the present study.
FIGURE 1 in Complement to the knowledge of the Haploops species (Crustacea, Gammaridea Ampeliscidae), with the description of two new species from North Atlantic Ocean [Contribution to the knowledge of the Haploops genus. 10.]
FIGURE 1. Haploops faroensis spec. nov., holotype female. (Biofar, St 299) Scale 1 mm.
FIGURE 5 in Complement to the knowledge of the Haploops species (Crustacea, Gammaridea Ampeliscidae), with the description of two new species from North Atlantic Ocean [Contribution to the knowledge of the Haploops genus. 10.]
FIGURE 5. Haploops truncata spec. nov., holotype female. (Bioice, St 3140) Scale 1 mm.
FIGURE 9. Haploops vallifera Stephensen 1925, female 6 in Complement to the knowledge of the Haploops species (Crustacea, Gammaridea Ampeliscidae), with the description of two new species from North Atlantic Ocean [Contribution to the knowledge of the Haploops genus. 10.]
FIGURE 9. Haploops vallifera Stephensen 1925, female 6 mm, Biofar 731, scale 1 mm.
FIGURE 13 in A taxonomic review of the genus Acanella (Cnidaria: Octocorallia: Isididae) in the North Atlantic Ocean, with descriptions of two new species
FIGURE 13. Acanella aurelia colony fragment (NSFIII07223).
Figure 2 from: Schwabe E, Allcock L (2013) "First" abyssal record of Stenosemus exaratus (G.O. Sars, 1878) (Mollusca, Polyplacophora) in the North-Atlantic Ocean. ZooKeys 283: 1-6. https://doi.org/10.3897/zookeys.283.4704
Figure 2 - Locality map for the deep-water records of Stenosemus exaratus (G.O. Sars, 1878) (circle, herein) and Leptochiton alveolus (M. Sars MS, Lovén, 1846) (triangles) in the North Atlantic. "CE" localities refer to our expeditions on board the RV Celtic Explorer, remaining data extracted from Schwabe (2008).
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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.
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.