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.
24
datasets available to search
ShareScore release 0.9.0
Dataset results
24 results for “Antarctic biogeography”
FIGURE 5 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 5 Historical demographic trajectories of Parochlus steinenii within its distribution in the Magellanic Subantarctic Ecoregion (red), South Georgia (yellow) and South Shetland Islands (violet). Left panels: Past demographic changes constructed using Bayesian Skyline Plot approach based on cox1 haplotypes. The y-axis is the product of the effective population sizes (Ne) and generation length in a log scale. The x-axis is the time before present (Myr). The median estimate (solid black line) and 95% highest probability density (HPD) limits (colored area) are shown. The thick dashed line represents the time of the most recent common ancestor (TMRCA). Right panels: Distribution of pairwise differences of cox1 for each demographic unit. Values of Tau are shown.
FIGURE 3 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 3 Haplotype network for Parochlus steinenii based on 151 mtDNA cox1 sequences spanning the species' distribution. Neighbor-joining network illustrating the distribution of haplotypes across lakes in the Magellanic Subantarctic Ecoregion, South Georgia and the South Shetland Islands. Circles sizes are proportional to haplotype frequency.
FIGURE 4 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 4 Spatial genetic structure of Parochlus steinenii from the spatial model in Geneland across the three biogeographic regions sampled. Higher posterior probabilities of population membership are indicated in yellow for each sampling site (A) MSE, (B) SG, (C) MA. Black circles indicate the relative position of the sampling localities. Posterior probabilities of membership were plotted with the shapefiles of Scotia Arc coastline available in the repository in the Antarctic digital database from the British Antarctic survey (BAS). https://add.data.bas.ac.uk.
FIGURE 6 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 6 Phylogenetic reconstruction based on haplotypes cox1 data showing divergence times of Parochlus steinenii across its distribution in sub- and maritime Antarctica. Nodes ages are the median values from both Bayesian Molecular Clock analyses and TMRCA of each clade estimated with Bayesian Skyline Plot. In each clade of interest (MSE, SG and MA), nodes bar indicated the 95% HPD. The colored tip represents the colors of the sampling region.
FIGURE 2 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 2 Phylogenetic reconstruction of Podonominae based on concatenated data. Maximum Likelihood reconstruction, including members of the subfamily Podonominae with emphasis on Parochlus spp. Information in brackets represent the sequence code used for the analysis (within P. steinenii), and sampling site for each sequence. Values for the nodes support are indicated for posterior probability/bootstrap, respectively.
FIGURE 1 in Ancient diversification in extreme environments: exploring the historical biogeography of the Antarctic winged midge Parochlus steinenii (Diptera: Chironomidae)
FIGURE 1 Historical biogeography reconstruction based on 151 cox1 sequences of Parochlus steinenii across the sampling areas. (A) Map of the sampling region in the Magellanic Subantarctic regions (MSE, red); sub-Antarctic Island of South Georgia (SG, orange), and Maritime Antarctic (MA, violet); (B) Bayesian Inference reconstruction using P. steinenii individuals. The values for node support are indicated for posterior probability/bootstrap from BI and ML analyses, respectively.
Origin, diversity, and biogeography of Antarctic scale worms (Polychaeta: Polynoidae): a wide-scale barcoding approach
<p>Aim: The Antarctic marine environment hosts diversified and highly endemic benthos owing to its unique geologic and climatic history. Current warming trends have increased the urgency of understanding Antarctic species history to predict how environmental changes will impact ecosystem functioning. Antarctic benthic lineages have traditionally been examined under three hypotheses: 1) high endemism and local radiation, 2) emergence of deep-sea taxa through thermohaline circulation, 3) species migrations across the Polar Front. In this study, we investigated which hypotheses best describe benthic invertebrate origins by examining Antarctic scale worms.</p> <p>Location: Southern Ocean, Kerguelen archipelago, South American peninsula, Indian Ocean, New Zealand.</p> <p>Taxon: Scale worm polychaetes (Polynoidae).</p> <p>Methods: We amassed 670 polynoids from the Southern Ocean and neighbouring areas and performed phylogenetic reconstructions to identify lineages across geographic regions, aided by mitochondrial markers Cytochrome c oxidase subunit I (Cox1) and 16S ribosomal RNA (16S). Additionally, we produced haplotype networks at the species scale to examine genetic diversity, biogeographic separations, and past demography.</p> <p>Results: The Cox1 dataset provided the most illuminating insights into the evolution of polynoids. Eunoe sp. was present at South America and Kerguelen, in favour of the latter acting as a migration crossroads. Harmothoe fuligineum, widespread around the Antarctic continent, was also present but isolated at Kerguelen, possibly resulting from historical freeze-thaw cycles. The genus Polyeunoa appears to have diversified prior to colonizing the continent, leading to the cooccurrence of at least three cryptic species around the Southern and Indian Oceans. Analyses identified that nearly all populations are presently expanding following a bottleneck event, possibly caused by habitat reduction from the last glacial episodes.</p> <p>Main Conclusions: This study details the largest phylogenetic dataset assembled to date for Antarctic polynoids. These findings provide insight into past demographic events experienced by Antarctic marine benthos and identify multiple origin scenarios for contemporary polynoids. </p>
Origin, diversity, and biogeography of Antarctic scale worms (Polychaeta: Polynoidae): a wide-scale barcoding approach
Open the record for dataset details and reuse information.
Diatoms define a novel freshwater biogeography of the Antarctic
<p><span class="fontstyle0">Terrestrial biota in the Antarctic are more globally distinct and highly structured</span><br> <span class="fontstyle0">biogeographically than previously believed, but information on biogeographic patterns</span><br> <span class="fontstyle0">and endemism in freshwater communities is largely lacking. We studied biogeographic</span><br> <span class="fontstyle0">patterns of Antarctic freshwater diatoms based on the analysis of species occurrences in a</span><br> <span class="fontstyle0">dataset of 439 lakes spread across the Antarctic realm. Highly distinct diatom floras, both</span><br> <span class="fontstyle0">in terms of composition and richness, characterize Continental Antarctica, Maritime</span><br> <span class="fontstyle0">Antarctica and the sub-Antarctic islands, with marked biogeographic provincialism in</span><br> <span class="fontstyle0">each region. A total of 44% of all species is estimated to be endemic to the Antarctic, and</span><br> <span class="fontstyle0">most of them are confined to a single biogeographic region. The level of endemism</span><br> <span class="fontstyle0">significantly increases with increasing latitude and geographic isolation. Our results have</span><br> <span class="fontstyle0">implications for conservation planning, and suggest that successful dispersal of</span><br> <span class="fontstyle0">freshwater diatoms to and within the Antarctic is limited, fostering the evolution of</span><br> <span class="fontstyle0">highly endemic diatom floras</span><br> </p>
Supplementary material 1 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
18S Parsimoni informative sites TemporaryMEGA17 : Explanation note: 18S rDNA Phylogenetic analysis between tree Genus based on Parsimony informative nucleotide sites.
Supplementary material 2 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
28S Parsimoni informative sites TemporaryMEGA15 : Explanation note: 28S rDNA Phylogenetic analysis between tree Genus based on Parsimony informative nucleotide sites.
Data from: Extinction and recolonization of maritime Antarctica in the limpet Nacella concinna (Strebel, 1908) during the last glacial cycle: toward a model of Quaternary biogeography in shallow Antarctic invertebrates
Open the record for dataset details and reuse information.
Diatoms define a novel freshwater biogeography of the Antarctic
Open the record for dataset details and reuse information.
Data from: Mitochondrial phylogeny of notothenioids: a molecular approach to Antarctic fish evolution and biogeography
Antarctic waters represent a unique marine environment delimited by an oceanographic barrier, the Polar Front Zone, and characterized by constant subzero temperatures and presence of sea ice. A group of teleost fish, the Notothenioidei, have adapted to these challenging environmental conditions, undergoing a remarkable diversification. In the present study a total of 798 base pairs, generated from partial sequencing of 16S and 12S mitochondrial ribosomal RNA genes, were examined in 33 notothenioid species representative of all families included in the suborder Notothenioidei. Phylogenetic trees, reconstructed on the basis of sequence data using different methods, indicate that traditional hypotheses on notothenioid systematics and biogeography might be in need of reexamination. Molecular evidence suggests that vicariant speciation could be invoked to explain the early divergence of Eleginops maclovinus, a species previously included in the family Nototheniidae, which is now proposed as the closest sister group to all the rest of notothenioids apart from bovichtids. On the other hand, repeated, independent dispersal through the Polar Front is proposed for the divergence of other subantarctic notothenioid species. Likewise, multiple, independent transitions from benthic to pelagic habit are inferred from molecular data, at variance with the more conservative hypothesis based on cladograms reconstructed from morphological data.
Figure 5 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 5 - Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975). Juveniles (specimens from Livingston Island): A–D Tail ends (J1) E–G Tail ends (J2-J4) Female (specimen from Livingston Island) H Tail end. Scale bar: 50 μm.
Figure 9 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 9 - Phylogenetic relationships of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975) based on 28S rDNA D2-D3 inferred from a Bayesian analysis (GTR+G model) and two Aporcelaimellus species used as an outgroup. * Thonus is currently considered a synonym of Crassolabium (Peña-Santiago & Ciobanu, 2008).
Figure 7 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 7 - Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975). Scatter plot of the functional (○) and replacement odontostyle (◊) in relation to the body length of the juvenile stages and females.
Figure 8 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 8 - Phylogenetic relationships of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975) based on 18S rDNA inferred from a Bayesian analysis (GTR+G model) and two Aporcelaimellus species used as an outgroup. * Thonus is currently considered a synonym of Crassolabium (Peña-Santiago and Ciobanu, 2008).
Figure 6 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 6 - Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975). Juveniles (specimens from Livingston Island): A–D Anterior ends (J1-J4) F–I Tail ends (J1-J4) Female (specimen from Livingston Island) E Anterior end J Tail end. Scale bar: 10 μm.
Figure 3 from: lshishka M, Lazarova S, Radoslavov G, Hristov P, Peneva VK (2017) Biogeography and phylogenetic position of Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. from Maritime Antarctic (Nematoda, Nordiidae). ZooKeys 697: 37-58. https://doi.org/10.3897/zookeys.697.13770
Figure 3 - SEM micrographs. Enchodeloides signyensis (Loof, 1975), gen. n., comb. n. (= Enchodelus signyensis Loof, 1975). Female: A, D, E Lip region, in face view, amphid aperture B, F Lip region, in sublateral view C Cephalic and labial papillae G–I Vulval region J–L Tail ends. Scale bars: 2 μm (A, C, D, E, F, G); 5 μm (B, I, J); 10 μm (L).
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.