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.
80
datasets available to search
ShareScore release 0.9.0
Dataset results
80 results for “East Antarctica”
FIG. 4 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 4. — Cyanobacteria sample after collection in sampling vial.
FIG. 3 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 3. — Cyanobacteria samples in water logged area on Rock.
FIG. 7 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 7. — Cyanobacteria samples in water logged area on rock.
FIG. 2 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 2. — Satellite imagery map of Larsemann Hills,Antarctica.Google Earth 2021.
Grounding line of Denman Glacier, East Antarctica from satellite radar interferometry
Open the record for dataset details and reuse information.
Data from: Low-frequency radar sounding of ice in East Antarctica and southern Greenland
Open the record for dataset details and reuse information.
Data from: Subglacial discharge accelerates future retreat of Denman and Scott Glaciers, East Antarctica
Open the record for dataset details and reuse information.
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>
Age-related environmental gradients influence invertebrate distribution in the Prince Charles Mountains, East Antarctica
<p>Data files for git repository https://github.com/macrobiotus/antarctic_invertebrates.git. Please check that repository for further information. Files were released review purposes and are made available in this final form here. To reconstitute a work environment on your local machine, extract the archive as a folder named "Zenodo" and place within the locally cloned repository.</p>
FIGURE 1 in Rhabditid nematodes found from a rocky coast contaminated with treated wastewater of Casey Station in East Antarctica, with a description of a new species of Dolichorhabditis Andrássy, 1983 (Nematoda: Rhabditidae)
FIGURE 1. Location of the sampling site on a rocky coast facing Shannon Bay, Budd Coast of Wilkes Land, East Antarctica. Arrow: sampling site located just below the outfall of the pipeline extending from Casey Station; black rectangles, buildings.
FIGURE 2 in Rhabditid nematodes found from a rocky coast contaminated with treated wastewater of Casey Station in East Antarctica, with a description of a new species of Dolichorhabditis Andrássy, 1983 (Nematoda: Rhabditidae)
FIGURE 2. Dolichorhabditis tereticorpus sp. n. Female (holotype ZIHU 3317; left side view, except F in right side view): A) Entire body. B) Anterior region. C) Stoma region. D) Posterior region of pharynx. E) Reproductive system. F) Anterior region of anterior ovary. G) Vulval region. Lateral field indistinct, only three longitudinal lines observed. H) Posterior region. Scales: A: 100 µm; B: 20 µm; C, D, F–H: 10 µm; E: 50µm.
FIGURE 4 in Rhabditid nematodes found from a rocky coast contaminated with treated wastewater of Casey Station in East Antarctica, with a description of a new species of Dolichorhabditis Andrássy, 1983 (Nematoda: Rhabditidae)
FIGURE 4. Rhabditidae sp. 1. Female (A, B, ZIHU 3326; left side view): A) Anterior region, with internal fungal hyphae. B) Tail. Rhabditidae sp. 2. Female (C–F, ZIHU 3328; left side view): C) Entire body. D) Anterior region. E) Stoma. F) Anal region. Scales: A, B, D–F: 10 µm; C: 80 µm.
FIGURE 3 in Rhabditid nematodes found from a rocky coast contaminated with treated wastewater of Casey Station in East Antarctica, with a description of a new species of Dolichorhabditis Andrássy, 1983 (Nematoda: Rhabditidae)
FIGURE 3. Dolichorhabditis tereticorpus sp. n. Female (A–C, holotype ZIHU 3317; D, ZIHU 3320; left side view): A) Middle of pharynx. Arrow: junction of corpus and isthmus; nr, nerve ring. B) Anterior branch of reproductive system: ova, ovary; ovi, oviduct; s, spermatheca; u, uterus. C, D) Rectum: r, rectum; r gl, rectal gland cells. Scales: A, B: 20 µm; C, D: 10 µm.
FIGURES 1–15 in An unusual freshwater diatom with bilobate ends from the Mid-Miocene of East Antarctica: Staurosirella tigris sp. nov. (Fragilariaceae, Bacillariophyta)
FIGURES 1–15. Staurosirella tigris sp. nov., LM pictures taken from the holotype population (sample WD 19, BR-4689). 1. Frustule in girdle view. 2–15. Several valves in valve face view in decreasing valve length. Fig. 15 most likely represents a teratological valve. Scale bar = 10 µm.
FIGURES 16–20 in An unusual freshwater diatom with bilobate ends from the Mid-Miocene of East Antarctica: Staurosirella tigris sp. nov. (Fragilariaceae, Bacillariophyta)
FIGURES 16–20. Staurosirella tigris sp. nov., SEM pictures taken from the holotype population (sample WD 19, BR-4689). 16. External view of an entire valve. 17. External detail of the valve margin showing the conical spines with hollow bases and the linear areolae. 18. External detail of the apical pore fields. 19. Internal detail showing part of the valvocopula and the copulae. 20. Internal detail of a valve apex showing the apical pore fields and some vimines with small or remnant volae. Scale bars = 10 µm (Figs 16, 19), 5 µm (Figs 18, 20), 1 µm (Fig. 17).
Data from: Brachiopods from the Byrd Group (Cambrian Series 2, Stage 4), Central Transantarctic Mountains, East Antarctica
Brachiopods from Cambrian Series 2, Stage 4 carbonate strata of the Byrd Group in the Central Transantarctic Mountains, East Antarctica, are described for the first time. These include six lingulate, one paterinate, and one rhynchonelliform taxa, including the new lingulate brachiopod <i>Plicarmus wildi</i> gen. et sp. nov. The assemblage correlates closely to the brachiopods recently reported from the Xinji Formation (Shuiyu section) in North China, as well as brachiopods recovered from the <i>Dailyatia odyssei</i> Zone across the Arrowie Basin of South Australia. The first unambiguous example of the acrotretid brachiopod <i>Eohadrotreta zhenbaensis</i> Li and Holmer 2004 outside South China is also identified in the context of its ontogenetic stages. Well preserved specimens of the acrotheloid <i>Schizopholis yorkensis</i> (Holmer and Ushatinskaya in Gravestock et al., 2001) facilitates a new reconstruction of its musculature and visceral region. This data is synthesised into a new cladistic analysis that resolves Acrotheloidea as a well-supported monophyletic clade and supports previous notions of a morphocline in acrotheloid evolution.
Daily, monthly and annual data from A decade (2008-2017) of water stable-isotope composition of precipitation at Concordia Station, East Antarctica
<p><span>A ten-year record of oxygen and hydrogen isotopic composition of precipitation is here presented: from 2008 to 2017, 1483 daily precipitation samples were collected all-year round on a raised platform at Concordia Station, East Antarctica.</span></p> <p><span>The dataset is discussed in the following pubblication:</span></p> <p><span>Dreossi, G., Masiol, M., Stenni, B., Zannoni, D., Scarchilli, C., Ciardini, V., Casado, M., Landais, A., Werner, M., Cauquoin, A., Casasanta, G., Del Guasta, M., Posocco, V., and Barbante, C.: A decade (2008–2017) of water stable-isotope composition of precipitation at Concordia Station, East Antarctica, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2813, 2023.</span></p> <p><span>The dataset includes 3 main datasheets:</span></p> <p><span>1. DAILY data with date, daily dataset for isotopes (δ<sup>18</sup>O, δ<sup>2</sup>H, d-excess), starting and ending date and hour, temperature and RH from the AWS (aws.temp and aws.RH, respectively) and the ERA5 temperature and total precipitation (era5.t2m and era5.tp, respectively);</span></p> <p><span>2. MONTHLY data with months, monthly averages for isotopes (δ<sup>18</sup>O, δ<sup>2</sup>H, d-excess), monthly averages for isotopes weighted for AWS temperature (δ<sup>18</sup>O.aws.temp, δ<sup>2</sup>H.aws.temp, d-excess.aws.temp), monthly averages for isotopes weighted for ERA5 total precipitation (δ<sup>18</sup>O.era5.tp, δ<sup>2</sup>H.era5.tp, d-excess.era5.tp), monthly averages for air temperature and RH from the AWS (aws.temp and aws.RH, respectively) and the ERA5 temperature and total precipitation (era5.t2m and era5.tp, respectively);</span></p> <p><span>3. ANNUAL data with years, annual averages for isotopes (δ<sup>18</sup>O, δ<sup>2</sup>H, d-excess), annual averages for isotopes weighted for AWS temperature (δ<sup>18</sup>O.aws.temp, δ<sup>2</sup>H.aws.temp, d-excess.aws.temp), annual averages for isotopes weighted for ERA5 total precipitation (δ<sup>18</sup>O.era5.tp, δ<sup>2</sup>H.era5.tp, d-excess.era5.tp), annual averages for air temperature and RH from the AWS (aws.temp and aws.RH, respectively) and the ERA5 temperature and total precipitation (era5.t2m and era5.tp, respectively).</span></p>
FIGURE 3. Staurotheca antarctica Hartlaub, 1904 in Benthic hydroids (Cnidaria: Hydrozoa) from off George V Coast (East Antarctica)
FIGURE 3. Staurotheca antarctica Hartlaub, 1904: A, hydrothecae. Staurotheca nonscripta Peña Cantero, Svoboda & Vervoort, 1997: B, hydrotheca. Staurotheca pachyclada (Jäderholm, 1904): C, hydrotheca. Antarctoscyphus spiralis (Hickson & Gravely, 1907): D, internode with hydrotheca showing intrathecal cusps (arrow). Symplectoscyphus glacialis (Jäderholm, 1904): E, internode with hydrotheca. Halecium interpolatum Ritchie, 1907: F, incipient stem with distal hydrotheca (arrow pointing to characteristic long and straight basal part of internode). Abietinella operculata (Jäderholm, 1903): G, hydrotheca (arrow pointing to disc-shaped operculum) and nematotheca (arrow). Schizotricha nana Peña Cantero, Svoboda & Vervoort, 1996: H, unforked hydrocladial internodes showing hydrothecae and nematothecae. Oswaldella erratum Peña Cantero & Vervoort, 1997: I, hydrocladial internode showing hydrotheca and mesial inferior nematotheca (arrow). Scale bars: 200 µm.
FIGURE 2 in Benthic hydroids (Cnidaria: Hydrozoa) from off George V Coast (East Antarctica)
FIGURE 2. Bimeria corynopsis Vanhöffen, 1910: A–B, fragments of stems with gonophores; C–D, detail of gonophores. Scale bars: 200 µm (A–B), 100 µm (C–D).
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.