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79 results for “South Georgia”
Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2013 through 31-Dec-2013
Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2013 through 31-Dec-2013. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2014 through 31-Dec-2014
Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2014 through 31-Dec-2014. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 25-Feb-2002 through 31-Dec-2002
Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 25-Feb-2002 through 31-Dec-2002. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately bimonthly. Salinity, depth and sigma-t were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
National Checklists 2017: South Georgia and the South Sandwich Islands Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from South Georgia and the South Sandwich Islands collected using effechecka and geonames polygons
National Checklists 2019: South Georgia and the South Sandwich Islands Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from South Georgia and the South Sandwich Islands collected using effechecka and geonames polygons
Genetic diversity and connectivity of southern right whales (Eubalaena australis) found in the Brazil and Chile–Peru wintering grounds and the South Georgia (Islas Georgias del Sur) feeding ground
<p></p><p>As species recover from exploitation, continued assessments of connectivity and population structure are warranted to provide information for conservation and management. This is particularly true in species with high dispersal capacity, such as migratory whales, where patterns of connectivity could change rapidly. Here we build on a previous long-term, large-scale collaboration on southern right whales (Eubalaena australis) to combine new (nnew) and published (npub) mitochondrial (mtDNA) and microsatellite genetic data from all major wintering grounds and, uniquely, the South Georgia (Islas Georgias del Sur: SG) feeding grounds. Specifically, we include data from Argentina (npub mtDNA/microsatellite = 208/46), Brazil (nnew mtDNA/microsatellite = 50/50), South Africa (nnew mtDNA/microsatellite = 66/77, npub mtDNA/microsatellite = 350/47), Chile–Peru (nnew mtDNA/microsatellite = 1/1), the Indo-Pacific (npub mtDNA/microsatellite = 769/126), and SG (npub mtDNA/microsatellite = 8/0, nnew mtDNA/microsatellite = 3/11) to investigate the position of previously unstudied habitats in the migratory network: Brazil, SG, and Chile–Peru. These new genetic data show connectivity between Brazil and Argentina, exemplified by weak genetic differentiation and the movement of 1 genetically identified individual between the South American grounds. The single sample from Chile–Peru had an mtDNA haplotype previously only observed in the Indo-Pacific and had a nuclear genotype that appeared admixed between the Indo-Pacific and South Atlantic, based on genetic clustering and assignment algorithms. The SG samples were clearly South Atlantic and were more similar to the South American than the South African wintering grounds. This study highlights how international collaborations are critical to provide context for emerging or recovering regions, like the SG feeding ground, as well as those that remain critically endangered, such as Chile–Peru.</p><p></p>
National Checklists: South Georgia and the South Sandwich Islands Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Fig. 1 in New Alien Species Mytilopsis Leucophaeata And Corbicula Fluminalis (Mollusca, Bivalvia) Recorded In Georgia And Notes On Other Non-Indigenous Molluscs Invaded The South Caucasus
Fig. 1. Map of the region showing the collection sites. Details for each sampling point are given in table 1.
Fig. 3 in New Alien Species Mytilopsis Leucophaeata And Corbicula Fluminalis (Mollusca, Bivalvia) Recorded In Georgia And Notes On Other Non-Indigenous Molluscs Invaded The South Caucasus
Fig. 3. Corbicula fluminalis: 1–4 whole specimen from native range, Vilesh River near Masally, Azerbaijan (1, 2 — right valve, 3, 4 — left valve); 5–8 — whole specimen from Pichori village (locality 1) (5, 6 — right valve, 7, 8 — left valve); 9–10 — a single left valve from Tbilisi Reservoir (locality 4) from outside (9) and inside (10); 11–12 — a single left valve from Shaori Reservoir (locality 3) from outside (11) and inside (12); 13–14 — a single left valve from Iori River (locality 5) from outside (13) and inside (14).
Fig. 2 in New Alien Species Mytilopsis Leucophaeata And Corbicula Fluminalis (Mollusca, Bivalvia) Recorded In Georgia And Notes On Other Non-Indigenous Molluscs Invaded The South Caucasus
Fig. 2. Mytilopsis leucophaeata: 1 — shells from Patara Paliastomi Lake (locality 2); 2–4 — whole specimen from the same locality (2 — right valve, 3 — left valve, 4 — enlarged inner view of position 2 showing the apophysis); 5–6 — a single right valve of shell from Shaori Reservoir (locality 3) from outside (5) and inside (6) views correspondingly.
Fig. 3 in Synopsis of the terrestrial vertebrate faunas from the Middle Kura Basin (Eastern Georgia and Western Azerbaijan, South Caucasus)
Fig. 3. Fossil terrestrial mammal sites in Middle Kura Foreland Basin. 1, Iagluja; 2, Tetri Udabnos Seri; 3, Udabno; 4, Kushkuna; 5, Dzedzvtakhevi; 6, Kvabebi; 7, Zemo Melaani; 8, Chachuna; 9, Kotsakhuri; 10, Taribana; 11, Dzhaparidze; 12, Eldari; 13, Palantokan; 14, Yenikend; 15, Vashlovani; 16, Qirmizi Samukh; 17, Kvemo Kedi; 18, Duzdag; 19, Almaly; 20, Karadja.
Fig. 2 in Synopsis of the terrestrial vertebrate faunas from the Middle Kura Basin (Eastern Georgia and Western Azerbaijan, South Caucasus)
Fig. 2. The scheme of migration of the lithofacies of the Miocene deposits of South Kakheti (Middle Kura Basin), adapted from Buleishvili (1960). The Khersonian continental facies, variegated clay of the Eladri Formation, are the thickest in the south-western part of the area; the transition of this continental formation into marine deposits can be traced starting from the Ravine Dibzis; and the marine deposits are the thickest at the mountain EllyarOyugi. Abbreviations: N p, Pontian; N m, Meotian; N s 2, upper Khersonian (upper part of the upper Sarmatian); N s 1, lower Khersonian (lower part 1 1 1 3 1 3 of the upper Sarmatian); N s, Bessarabian (middle Sarmatian); N s, Volhynian (lower Sarmatian); N 2, Tarkhanian, Chokrakian, Karaganian, Konkian 1 2 1 1 1 (middle Miocene).
Fig. 1 in Synopsis of the terrestrial vertebrate faunas from the Middle Kura Basin (Eastern Georgia and Western Azerbaijan, South Caucasus)
Fig. 1. Map of the Caucasus region showing the Tertiary foreland basins. Modified after Mauvilly et al. (2016); Mauvilly (2017). Topographic map from the United States Geological Survey (USGS) earth explorer web-based platform https://earthexplorer.usgs.gov. FB, foreland basin.
Figure 2 in Freshwater invertebrates of subantarctic South Georgia
Figure 2. Upper map: lakes of the TØnsberg Peninsula, Stromness Bay. Lower map: sampling sites in the region of the Husvik whaling station (station marked with an H).
Figure 1 in Freshwater invertebrates of subantarctic South Georgia
Figure 1. Locations of the freshwater sampling sites around Stromness Bay and at Grytviken, South Georgia. Insert: map of South Georgia showing the sampling area.
Dataset for the high-resolution NEMO4 model of Cumberland Bay, South Georgia
<p>This data-set consist of the required model set up files to reproduce a NEMO4 high-resolution model of Cumberland Bay, South Georgia, for the years 2001 to 2010 as described in the thesis 'Oceanographic Variability in Cumberland Bay, South Georgia: Implications for Glacier Retreat and Fisheries Management' Joanna Zanker. Files required to reproduce the process tests detailed in the thesis are also provided with the relevant names and the scripts for running the individual-based model with the model flow fields parameterised for mackerel icefish.</p>
Genetic diversity and connectivity of southern right whales (Eubalaena australis) found in the Brazil and Chile–Peru wintering grounds and the South Georgia (Islas Georgias del Sur) feeding ground
Open the record for dataset details and reuse information.
Southern Ocean kelp particle trajectories from Kerguelen, Macquarie Island and South Georgia
<p>Trajectory files from particle tracking simulations to model kelp drift pathways from three sub-Antarctic islands. More than 3.8 million virtual particles were released from a 2° latitude by 4° longitude box surrounding each of three sub-Antarctic source locations: Kerguelen Island, Macquarie Island and South Georgia. Particles were released daily throughout 2013 to sample seasonality and storm variability. Virtual particles were advected offline for three years from the time of release using the Connectivity Modelling System (Paris et al. 2013, <a href="https://github.com/beatrixparis/connectivity-modeling-system">https://github.com/beatrixparis/connectivity-modeling-system</a>). Particles were advected with the sum of daily snapshots of two-dimensional surface velocity data from an eddying ocean model (HYCOM; Bleck 2002) and wave-driven Stokes drift velocities from WAVEWATCH III (Rascle and Ardhuin 2013) over the period 2013-2016, as described in further detail in Fraser et al. 2018.</p> <p>Netcdf files contain particle trajectory latitude and longitude, and release date. Output has a temporal frequency of 1 day. Each release site has multiple zip files (e.g. Kerguelen_1.zip) which each contain multiple trajectory files. Each trajectory file contains a subset of the full ~ 4 million particles released at the site.</p> <p> </p> <p>Citation of associated paper: Fraser, C. I, Dutoit, L., Morrison, A. K., Miguel Pardo, L., Smith, S., Pearman, W., Parvizi, E., Waters, J., Macaya Horta, E. (2022). Southern Hemisphere coastal ecosystems are biologically connected by frequent, long-distance rafting events, submitted to <em>Current Biology</em>.</p> <p> </p> <p>References:</p> <p>Bleck, R. (2002). An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates. <em>Ocean Modelling,</em> <strong>4</strong>, 55-88.</p> <p>Fraser, C. I. , A. K. Morrison, A. McC Hogg, E. C. Macaya, E. van Sebille, P. G. Ryan, A. Padovan, C. Jack, N. Valdivia, J. M. Waters (2018), Antarctica’s ecological isolation will be broken by storm-driven dispersal and warming, <em>Nat. Clim. Change</em>, <strong>8</strong>, 704-708.</p> <p>Paris, C. B., Helgers, J., van Sebille, E., & Srinivasan, A. (2013). Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean. <em>Environmental Modelling and Software</em>, <strong>42</strong>, 47-54.</p> <p>Rascle, N., and Ardhuin, F. (2013). A global wave parameter database for geophysical applications. Part 2: Model validation with improved source term parameterization. <em>Ocean Modelling,</em> <strong>70</strong>, 174-188.</p>
FIGURE 4 in Taxonomic Elements On Uropoda Gressitti Hirschmann, 1972 From South Georgia (Acari: Uropodina: Uropodidae)
FIGURE 4: Uropoda gressitti Hirschmann, 1972 (protonymph): A – dorsal view; B – ventral view. Scale bar = 100 µm.
FIGURE 2 in Taxonomic Elements On Uropoda Gressitti Hirschmann, 1972 From South Georgia (Acari: Uropodina: Uropodidae)
FIGURE 2: Uropoda gressitti Hirschmann, 1972: A – tritosternum, coxae I and ventral view of gnathosoma of female; B – tritosternum and coxae I of deutonymph; C – ventral view of gnathosoma of deutonymph; D – chelicerae of deutonymph; E – tritosternum, coxae I, apical part of chelicerae and ventral view of gnathosoma of protonymph; F – tritosternum, coxae and trochanter I, ventral view of gnathosoma of larva. Scale bar = 100 µm.
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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.