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1,337 results for “antarctica”
FIGURE 22. Caulleriella eltaninae n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 22. Caulleriella eltaninae n. sp. Holotype (USNM 1013888): A, anterior end, left lateral view; B, anterior end, dorsal view; C, posterior end, left lateral view; D, neuropodial hook and capillary seta.
FIGURE 18. Aphelochaeta spectabilis n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 18. Aphelochaeta spectabilis n. sp. Photomicrographs of specimens from the EASIZ II Sta. 48-299 (SMF 24897): A, anterior end, dorsal view; B–C, posterior ends, dorsal view of two different specimens; D–G, two specimens showing anterior ends, in ventrolateral, (D) dorsal (E), right lateral (F), and ventral (G) views exhibiting Methyl Green staining patterns. A–C stained with Shirlastain A; D–G stained with Methyl Green. All scales 500 µm.
FIGURE 2. Aphelochaeta aubreyi n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 2. Aphelochaeta aubreyi n. sp. Anterior end, dorsal view, paratype (USNM 1490702); B, anterior end, left lateral view, paratype (LACM-AHF Poly 10201); C, posterior end, left lateral view paratype, (MCZ 149879).
FIGURE 5. Aphelochaeta bimaculata n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 5. Aphelochaeta bimaculata n. sp. A–B, paratype (USNM 1490705): A, entire worm, ventrolateral view (pre-setiger region partially detached); B, detail of middle body segments (arrows denote location of pigment spots). C–D, holotype (USNM 1490704); C, anterior end, ventral view, with location of Methyl Green stain indicated (arrows); D, entire specimen, right lateral view. A–B, stained with Shirlastain A; C–D, stained with Methyl Green.
FIGURE 9. Aphelochaeta dearborni n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 9. Aphelochaeta dearborni n. sp. A, anterior end, dorsal view; B, anterior end, right lateral view; C, posterior end, left lateral view. A, C, Holotype (USNM 1013879); B, specimen from Sta. 48-325 (SMF 24882).
FIGURE 20. Caulleriella ecuadoriana n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 20. Caulleriella ecuadoriana n. sp. Holotype (USNM 1490723): A, anterior end, dorsal view; B, posterior end, left lateral view; C, neuropodial bidentate hook.
FIGURE 19. Caulleriella antarctica Hartman, 1978. A in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 19. Caulleriella antarctica Hartman, 1978. A, anterior end, left lateral view; B, anterior end, dorsal view; C, posterior end, dorsal view; D, posterior parapodium, left anterior view; E, posterior notopodial hooks; F, posterior neuropodial hooks. A–B, D–F, Holotype (USNM 46777); C, ANDEEP II, Sta. 133-6 (SMH 24907).
FIGURE 1 in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 1. Aphelochaeta antelonga Dean & Blake, 2016. Specimens from Valparaiso Bay, Chile: A, anterior and middle body segments in right lateral view; B, anterior end, left ventrolateral view; C, posterior end, ventrolateral view; D, anterior segments, L to R, with branchial scars; E, detail of capillary seta showing fibrils; F, anterior end, dorsal view. A–E, SEMs of specimens collected by E.H. Soto from Valparaiso Bay; F, photomicrograph of specimen from Eltanin Sta. 1437 (USNM 1490700) stained with Shirlastain A. Arrows denote location of weakly developed peristomial grooves revealed after staining.
FIGURE 4. Aphelochaeta bimaculata n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 4. Aphelochaeta bimaculata n. sp. A, paratype (USNM 1490705), anterior end, dorsal view; B, holotype (USNM 1490704), anterior end, right lateral view.
FIGURE 17. Aphelochaeta spectabilis n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 17. Aphelochaeta spectabilis n. sp. A, anterior end, dorsal view, specimen from EASIZ II, Sta. 299 (SMF 24897); B, anterior end, dorsal view of holotype, R/V Hero Sta. 824-5-1 (USNM 1490720); C, anterior end, dorsal view of small specimen, EASIZ II, Sta. 299 (SMF 24897); D, posterior end, left lateral view of holotype (USNM 1490719).
FIGURE 11. Aphelochaeta hormosa n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 11. Aphelochaeta hormosa n. sp. Holotype (USNM 1490710): A, anterior end, right lateral view; B, middle body segments, right lateral view; C, posterior end, dorsal view.
FIGURE 3. Aphelochaeta aubreyi n in Bitentaculate Cirratulidae (Annelida, Polychaeta) collected chiefly during cruises of the R/V Anton Bruun, USNS Eltanin, USCG Glacier, R/V Hero, RVIB Nathaniel B. Palmer, and R/V Polarstern from the Southern Ocean, Antarctica, and off Western South America
FIGURE 3. Aphelochaeta aubreyi n. sp. Photomicrographs of holotype (LACM-AHF Poly 10200): A, anterior end, left lateral view B, posterior end, right lateral view. Stained with Shirlastain A. Scales 500 µm.
Aerogeophysical characterization of an active subglacial lake system in the David Glacier catchment, Antarctica
<p>Profile based data products derived from radar observations and surface laser altimetry of the David Glacier.</p> <p>Data includes:</p> <p>Surface elevation (both radar and laser altimetry)</p> <p>Bed elevation</p> <p>Ice thickness</p> <p>Surface echo strength</p> <p>Basal echo strength</p> <p>Specularity content</p>
Radar observations of an active subglacial lake system in the David Glacier catchment, Antarctica
<p>Unfocused radar observations of David Glacier, Antarctica. Collected in December 2016 to Februrary 2017 by Korea Polar Research Institute and University of Texas -- Institute for Geophysics.</p> <p>Full documentation can be found within the netCDF files.</p>
Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"
<p>Data and code underlying the publication <a href="https://tc.copernicus.org/preprints/tc-2019-330/">"The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"</a>.</p> <p>Journal: The Cryosphere</p> <p>Authors: <em>Ronja Reese<sup>1*</sup></em><em>, Anders Levermann</em><sup><em>1,2,3</em></sup><em>, Torsten Albrecht</em><sup><em>1</em></sup><em>, Hélène Seroussi<sup>4</sup></em><em>, Ricarda Winkelmann<sup>1,2 </sup></em></p> <p>(1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany</p> <p>(2) Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany</p> <p>(3) LDEO, Columbia University, New York, USA</p> <p>(4) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA</p> <p>(*) email ronja.reese@pik-potsdam.de</p> <p>Abstract:<br> Mass loss from the Antarctic Ice Sheet constitutes the largest uncertainty in projections of future sea level rise. Ocean-driven melting underneath the floating ice shelves and subsequent acceleration of the inland ice streams is the major reason for currently observed mass loss from Antarctica and is expected to become more important in the future. Here we show that for projections of future mass loss from the Antarctic Ice Sheet, it is essential (1) to better constrain the sensitivity of sub-shelf melt rates to ocean warming and (2) to include the historic trajectory of the ice sheet. In particular, we find that while the ice sheet response in simulations using the Parallel Ice Sheet Model is comparable to the median response of models in three Antarctic Ice Sheet Intercomparison projects – initMIP, LARMIP-2 and ISMIP6 – conducted with a range of ice sheet models, the projected 21st century sea level contribution differs significantly depending on these two factors. For the highest emission scenario RCP8.5, this leads to projected ice loss ranging from 1.4 to 4.0 cm of sea level equivalent in the ISMIP6 simulations where the sub-shelf melt sensitivity is comparably low, opposed to a likely range of 9.2 to 35.9 cm using the exact same initial setup, but emulated from the LARMIP-2 experiments with a higher melt sensitivity based on oceanographic studies. Furthermore, using two initial states, one with and one without a previous historic simulation from 1850 to 2014, we show that while differences between the ice sheet configurations in 2015 are marginal, the historic simulation increases the susceptibility of the ice sheet to ocean warming, thereby increasing mass loss from 2015 to 2100 by about 50 %. Our results emphasize that the uncertainty that arises from the forcing is of the same order of magnitude as the ice dynamic response for future sea level projections.</p> <p>Large zip files contain data, small zip file python notebooks for data analysis and PISM code. Please contact ronja.reese@pik-potsdam.de if you have any further questions.</p>
ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
<p>We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (>30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from the Reference Elevation Model of Antarctica (Howat, et al., 2019) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago. </p>
ICECAP-2 consortium processed airborne ice thickness data from the Princess Elizabeth Land, East Antarctica
<p>Airborne ice thickness data from the Princess Elizabeth Land (PEL), East Antarctica was collected in four separate seasons. During the first ICECAP2 season (2015/16), a survey acquiring exploratory ‘fan-shaped’ radial profiles to maximize range and data return on each flight was completed across the broadly unknown region of PEL. These flight lines extend from the coastal Progress Station to the interior ice-sheet divide at Ridge B. In the second and third seasons (2016/17 and 2017/18), a survey ‘grid’ was completed, targeting enhanced resolution over a proposed subglacial lake and a series of basal canyons (Jamieson et al., 2016). In the fourth season (2018/19), a few additional transects were completed to fill the largest data gaps within aircraft range. Field data acquisition was achieved using the “Snow Eagle 601” aero geophysical platform; a BT-67 airplane operated by the Polar Research Institute of China for the Chinese National Antarctic Research Expedition (CHINARE) program. The suite of instruments configured on the airplane include a phase-coherent radio-echo sounder system, operating at a central frequency of 60 MHz and a peak power of 8 kW, making it capable of penetrating deep (>3 km) ice in Antarctica. After applying coherent integration and pulse compression at a bandwidth of 15 MHz, which gave an along-track spatial sampling rate and a vertical resolution of ~10 m and ~5.6 m, respectively.</p>
GeoVectors-Antarctica-tags (v1.0)
<p><strong>Description</strong></p> <p>The GeoVectors corpus is a comprehensive large-scale linked open corpus of OpenStreetMap (https://www.openstreetmap.org/) entity embeddings that provides latent representations of over 980 million entities. The GeoVectors capture the semantic and geographic dimensions of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic dimension of OpenStreetMap entities. The "-location" datasets provide the geographic dimension.</p> <p><strong>Contents</strong></p> <p>This dataset was derived from an OpenStreetMap snapshot that was taken on November 10, 2020 (© OpenStreetMap contributors).</p> <p>We provide the GeoVectors in region-specific subsets. This subset contains tag-embeddings for the region "Antarctica" including the following countries:</p> <ul> <li>Antarctica</li> </ul> <p><strong>File format</strong></p> <p>The embeddings are provided in the tab-separated values (tsv) format. Each row contains the embedding of a single OpenStreetMap entity. The first column contains the OpenStreetMap type and the second column contains the OpenStreetMap ID of the respective entity. The type can either be node (n), way (w), or relation (r). The remaining columns represent the dimensions of the embedding space. (See also header.tsv)</p> <p><strong>Further information:</strong></p> <p>For further information, please visit <a href="http://geovectors.l3s.uni-hannover.de">http://geovectors.l3s.uni-hannover.de</a></p> <p><strong>Funding</strong>:</p> <p>This work was partially funded by DFG, German Research Foundation (“WorldKG", DE 2299/2-1), the Federal Ministry of Education and Research (BMBF), Germany (“Simple-ML", 01IS18054), the Federal Ministry for Economic Affairs and Energy (BMWi), Germany (“d-E-mand", 01ME19009B), and the European Commission (EU H2020, “smashHit", grant-ID 871477).</p>
GeoVectors-Antarctica-location (v0.1)
<p><strong>Description</strong></p> <p>The GeoVectors corpus is a comprehensive large-scale linked open corpus of OpenStreetMap (https://www.openstreetmap.org/) entity embeddings that provides latent representations of over 980 million entities. The GeoVectors capture the semantic and geographic similarities of OpenStreetMap entities and make them directly accessible to machine learning applications. The "-tags" datasets provide embeddings that capture the semantic similarities of OpenStreetMap entities. The "-location" datasets provide the geographic similarities.</p> <p><strong>Contents</strong></p> <p>This dataset was derived from an OpenStreetMap snapshot that was taken on November 10, 2020 (© OpenStreetMap contributors).</p> <p>We provide the GeoVectors in region-specific subsets. This subset contains location-embeddings for the region "Antarctica" including the following countries:</p> <ul> <li>Antarctica</li> </ul> <p><strong>File format</strong></p> <p>The embeddings are provided in the tab-separated values (tsv) format. Each row contains the embedding of a single OpenStreetMap entity. The first column contains the OpenStreetMap type and the second column contains the OpenStreetMap id of the respective entity. The type can either be node (n), way (w), or relation (r). The remaining columns represent the dimensions of the embedding space. (See also header.tsv)</p> <p><strong>Further information:</strong></p> <p>For further information, please visit <a href="http://geovectors.l3s.uni-hannover.de">http://geovectors.l3s.uni-hannover.de</a></p> <p><strong>Funding</strong>:</p> <p>This work was partially funded by DFG, German Research Foundation (“WorldKG", DE 2299/2-1), the Federal Ministry of Education and Research (BMBF), Germany (“Simple-ML", 01IS18054), the Federal Ministry for Economic Affairs and Energy (BMWi), Germany (“d-E-mand", 01ME19009B), and the European Commission (EU H2020, “smashHit", grant-ID 871477).</p>
Species distribution, hybridization and connectivity in the genus Chionodraco: unveiling unknown icefish diversity in Antarctica
<p><strong>Aim</strong></p> <p>The species of the genus <em>Chionodraco</em> (Notothenioidei) are the most abundant icefish on the continental shelf of the Weddell Sea. While previous studies indicated that only <em>Chionodraco hamatus</em> and <em>Chionodraco myersi</em> inhabit the Weddell Sea, the third <em>Chionodraco</em> species, <em>Chionodraco rastrospinosus</em>, was recently sampled in the area. Since <em>C. rastrospinosus</em> is supposed to be found only at the Antarctic Peninsula and Scotia Arc, this study aimed at confirming the species classification of <em>C. rastrospinosus</em> by molecular methods and identifying its putative source population. Given the documented evidence of introgression among the three species, we tested whether the newly found <em>C. rastrospinosus</em> shared any genetic variability with the other <em>Chionodraco</em> species. To explain the pattern of distribution of the <em>Chionodraco</em> species, we aimed at estimating the hydrodynamic connectivity between the Antarctic Peninsula and the Weddell Sea.</p> <p><strong>Location</strong></p> <p>Antarctic Peninsula, southern Scotia Arc and the south-eastern Weddell Sea</p> <p><strong>Methods</strong></p> <p>We genotyped 19 microsatellites and sequenced the mitochondrial D-loop for 560 <em>Chionodraco</em> individuals. We simulated the dispersal of more than 3 million drifters (Lagrangian model).</p> <p><strong>Results</strong></p> <p>The molecular analyses support the presence of <em>C. rastrospinosus</em> in the Weddell Sea and its homogeneity with <em>C. rastrospinosus</em> from the Antarctic Peninsula. Bayesian clustering identifies three putative hybrids among <em>C. rastrospinosus</em> and the other congenerics. Lagrangian simulations do not support connectivity driven by the oceanographic features of the Antarctic Peninsula and Weddell Sea via passive larval dispersal only.</p> <p><strong>Main conclusions</strong></p> <p>This study documents, for the first time, the presence of <em>C. rastrospinosus</em> in the Weddell Sea unveiling more biodiversity than previously known in this region. The sympatry of the three <em>Chionodraco</em> species explains the occurrence of occasional, ongoing events of hybridization in the genus. Alternative possible hypotheses need to be tested in future studies about the mechanisms maintaining the interspecific connectivity in <em>Chionodraco</em> spp.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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