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1,337 results for “Antarctica”
Output data for manuscript "Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in Antarctica and Greenland"
<p>We retrieve sea levels in polar regions via GNSS reflectometry (GNSS-R), using signal-to-noise ratio (SNR) observations from eight POLENET GNSS stations. Although geodetic-quality antennas are designed to boost the direct reception from GNSS satellites and to suppress indirect reflections from natural surfaces, the latter can still be used to estimate the sea level in a stable terrestrial reference frame. Here, typical GNSS-R retrieval methodology is improved in two ways, 1) constraining phase-shifts to yield more precise reflector heights and 2) employing an extended dynamic filter to account for the second-order height rate of change (vertical acceleration). We validate retrievals over a 4-year period at Palmer Station (Antarctica), where there is a co-located tide gauge (TG). Because ice contaminates the long-period tidal constituents, we focus on the main tidal species (daily and subdaily), by employing a deseasonalization filter. The difference between sub-hourly GNSS-R retrievals of the ocean surface and TG records has a root-mean-square error (RMSE) of 15.4 cm and a correlation of 0.903, while the tidal prediction has a RMSE of 1.9 cm and a correlation of 0.998. There is excellent millimetric agreement between the two sensors for most eight major tidal constituents, with the exception of luni-solar diurnal (<em>K<sub>1</sub></em>), principal solar (<em>S<sub>2</sub></em>), and luni-solar semidiurnal (<em>K</em><sub>2</sub>) components, which are biased in GNSS-R due to the leakage of the GPS orbital period. We also compare the GNSS-R tidal constituents from seven additional POLENET sites, without co-located TG, to global and local ocean tide models. We find that the root-sum-square-error (RSSE) of eight major constituents varies between 26.0 cm and 56.9 cm for different models. Given that the agreement in tidal constituents between the TG and GNSS-R was better at Palmer Station, we conclude that assimilating the GNSS-R retrievals into tidal models would improve their accuracy in Antarctica and Greenland, provided that care is exercised to avoid the orbital period overtones and also sea ice.</p>
Fig. 2 in Two new species of Colletteidae (Crustacea: Tanaidacea: Tanaidomorpha) from Bransfield Strait, Antarctica
Fig. 2. Filitanais elongatus sp. nov., holotype, ♀ (MNRJ 24443), length 1.9 mm, body in dorsal view. Scale bar = 1.0 mm. Pleon lateral view, scale bar = 0.5 mm. Abbreviations: A1 = antennules; A2 = antenna; L = labrum; MdL = left mandible; MdR = right mandible; La = labium. Scale bars = 0.1 mm.
Fig. 5 in Two new species of Colletteidae (Crustacea: Tanaidacea: Tanaidomorpha) from Bransfield Strait, Antarctica
Fig. 5. Macrinella lavradoae sp. nov., holotype, ♀ (MNRJ 24445), length 1.9 mm. Abbreviations: Mx1 = maxilulle; Mxp = maxilliped; Che = cheliped; P1 = pereopod 1; P2 = pereopod 2; P3 = pereopod 3; P5 = pereopod 5; P6 = pereopod 6; Ur = uropod. Scale bars = 0.1 mm.
Fig. 4 in Two new species of Colletteidae (Crustacea: Tanaidacea: Tanaidomorpha) from Bransfield Strait, Antarctica
Fig. 4. Macrinella lavradoae sp. nov., holotype, ♀ (MNRJ 24445), length 1.9 mm, body in dorsal view. Scale bar = 1.0 mm. Pleon in lateral view. Abbreviations: A1 = antennules; A2 = antenna; L = labrum; MdL = left mandible; MdR = right mandible. Scale bars = 0.1 mm.
Fig. 3 in Two new species of Colletteidae (Crustacea: Tanaidacea: Tanaidomorpha) from Bransfield Strait, Antarctica
Fig. 3. Filitanais elongatus sp. nov., holotype, ♀ (MNRJ 24443), length 1.9 mm. Abbreviations: Mx1 = maxilulle; Mx2 = maxilla; Mxp = maxilliped; Che = cheliped; P1 = pereopod 1; P2 = pereopod 2; P3 = pereopod 3; P4 = pereopod 4; P5 = pereopod 5; P6 = pereopod 6; Ur = uropod. Scale bars = 0.1 mm.
Fig. 3. Leucothoe antarctica Pfeffer, 1888 in Revision of Leucothoe (Amphipoda, Crustacea) from the Southern Ocean: a cosmopolitanism concept is vanishing
Fig. 3. Leucothoe antarctica Pfeffer, 1888, neotype ♀ 5 mm. Gn 1 = first gnathopod; Gn 1' = dactylus, propodus and carpus of first gnathopod enlarged; Gn 2 = second gnathopod female; Gn 2' = second gnathopod male; Mxp = maxilliped.
DeepBedMap: A super-resolution neural network created bed topography of Antarctica
<p>Going beyond BEDMAP2 using a super resolution deep neural network.</p> <p>deepbedmap_v1.1.0.zip: Python code for the DeepBedMap Super-Resolution Generative Adversarial Network.</p> <p>deepbedmap_dem.tif: Digital Elevation Model (250 m spatial resolution) in GeoTiff format, using Antarctic Polar Stereographic Projection (EPSG:3031).</p> <p>srgan_generator_model_weights.npz: The Generator neural network weights/parameters as a NumPy zip file.</p> <p> </p>
Pressure-driven Poiseuille flow inherited from Mesozoic mantle circulation led to the Eocene separation of Australia and Antarctica
<p>Mantle temperature field at 60 Ma and at a random distribution for TERRA and numerical grids for SHELLS.</p> <p> </p>
Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation
<p>Here is the surface mass balance calculated from a offline subsurface model, that is used in the paper Downscaled surface mass balance in Antarctica: impacts of subsurface processes and large-scale atmospheric circulation.<br> More data are available by contacting nichsen@space.dtu.dk</p>
Figure 10 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 10. Maximum-likelihood tree of Weddell Sea gromiids (shaded boxes), Arabian Sea gromiids (Aranda da Silva et al., 2006), and Gromia oviformis from shallow-water localities (Burki et al., 2002), based on partial small subunit ribosomal DNA (SSU rDNA) sequences. The numbers at the nodes represent the percentage of bootstrap support,> 50%. Weddell Sea gromiids are grouped into three distinct clades (A, B, and C).
Figure 3 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 3. Gromia marmorea sp. nov. A, B, scanning electron microscope (SEM) photographs of wall consisting of multiple layers. C, transmission electron microscope (TEM) photograph of 'honeycomb membrane' layer. D, detail of (C).
Figure 4 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 4. Gromia marmorea sp. nov. scanning electron microscope (SEM) photographs. A, oral capsule (the arrow indicates the direction of the photograph sequence shown in panels Ci–Civ). B, perforations of the test surface. Ci–Civ, sequence of photographs over a distance of 250 Mm showing test pores (each pore is highlighted by a white circle), with the number of pores increasing with increasing distance from the aperture (from left to right); 4000¥ magnification. D, E, interior of broken specimen showing stercomata and other structures.
Figure 1 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 1. Stations sampled in the Weddell Sea during the RV Polarstern cruise, leg ANT-XXII/3, from 22nd January to 6th April, 2006. Filled circles indicate sample stations for Gromia marmorea sp. nov. (133#2) at 1584-m depth, Gromia winnetoui sp. nov. (121#7) at ~2600-m depth, and Gromia melinus sp. nov. (81#8 and 80#9) at 3101- and 4392-m depth, respectively.
Figure 2 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 2. Gromia marmorea sp. nov. A–D, reflected-light photographs of preserved specimens, from station 133#2, 1584-m depth. Photographed in water. A, holotype, reg. no. SMF XXVII 7398, spherical morphotype. B, paratype, reg. no. SMF XXVII 7399, droplet-shaped morphotype. C, paratype, reg. no. SMF XXVII 7399, oval morphotype. D, detail of oral capsule. E, scanning electron microscope (SEM) photograph of oral capsule. F, unfixed specimens.
Figure 6 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 6. Gromia melinus sp. nov. A, reflected light photograph, station 80#9, at 3103-m depth. B, transmission electron microscope (TEM) photograph of 'honeycomb membrane' layer at a 5000¥ magnification. C, TEM photograph at a 50 000¥ magnification. D, TEM photograph at a 100 000¥ magnification.
Figure 7 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 7. Gromia winnetoui sp. nov. A–D, reflected-light photographs, station 121#7, ~2600-m depth. A, holotype, reg. no. SMF XXVII 7402, agglutinated specimen. B, paratype, reg. no. SMF XXVII 7403, elongate oval specimen (the circle indicates the oral capsule). C, D, irregularly shaped specimen (the circles indicate the oral capsules).
Figure 9 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 9. Gromia winnetoui sp. nov. A–D, transmission electron microscope (TEM) photographs of the test wall, including the 'honeycomb membrane' layer (hm), station 121#7, ~2600-m depth.
Figure 5 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 5. Reflected-light photographs of Gromia melinus sp. nov. from station 80#9, at 3103-m depth (A–C), and station 81#9, at 4392-m depth (D); photographed in water. A, paratype, reg. no. SMF XXVII 7401, subtriangular morphotype. B, holotype, reg. no. SMF XXVII 7400, droplet-shaped morphotype. C, asymmetrically irregular morphotype. D, spherical morphotype with two oral capsules. E, scanning electron microscope (SEM) photograph of the polygonal pattern on the wall surface. F, SEM photograph of agglutinated clay particles on the surface of the specimen.
Figure 8 in Three new species of deep-sea Gromia (Protista, Rhizaria) from the bathyal and abyssal Weddell Sea, Antarctica
Figure 8. Gromia winnetoui sp. nov. A, reflected-light photograph, station 121#7, ~2600-m depth; photographed in water. B, C, scanning electron microscope (SEM) photographs of the agglutinated wall (the rectangle in C indicates the area shown in D). D, SEM photograph of the perforations on the test surface.
CTD+ hydrographic measurement results from Admiralty Bay, Antarctica from February 2022 to February 2023
<p>The dataset contains CTD+ measurement results from Admiralty Bay on King George Island. It consists of data on conductivity, salinity, temperature, pH, turbidity, optical dissolved oxygen (ODO), fluorescent Dissolved Organic Matter (fDOM), chlorophyll A, and Phycoerythrin, measured from February 2022 to February 2023.</p><p>This dataset is a continuation of a larger measurement campaign described in: </p><p>Osińska, M., Wójcik-Długoborska, K. A., & Bialik, R. J. (2023). Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow. <i>Earth System Science Data</i>, <i>15</i>(2). https://doi.org/10.5194/essd-15-607-2023</p><p>which can be found at:</p><p>Osińska, M., Wójcik-Długoborska, K. A., & Bialik, R. J. (2022). Water conductivity, salinity, temperature, turbidity, pH, fluorescent dissolved organic matter (fDOM), optical dissolved oxygen (ODO), chlorophyll a and phycoerythrin measurements in Admiralty Bay, King George Island, from Dec 2018 to Jan 2022. <i>PANGAEA</i>. https://doi.org/https://doi.org/10.1594/PANGAEA.947909</p>
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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)
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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.