Find research datasets worth reusing

opencc-by-4.0Jan 2022View details →

Fig. 1 in A new species of Anobothrus (Polychaeta, Ampharetidae) from the Weddell Sea (Antarctica), with notes on habitat characteristics and an updated key to the genus

Fig. 1. Schematic lateral view of Anobothrus konstantini Säring & Bick sp. nov. Abbreviations: see Material and methods. Vertical dotted line in TS6 represents circular glandular band. Vertical lines in TS12 represent elongated ridge between notopodia.

opencc-by-4.0Jan 2022View details →

Fig. 2 in A new species of Anobothrus (Polychaeta, Ampharetidae) from the Weddell Sea (Antarctica), with notes on habitat characteristics and an updated key to the genus

Fig. 2. Sampling stations in the vicinity of the Antarctic Peninsula during RV Polarstern expedition PS 81 (Drake Passage, Bransfield Strait, North-Western Weddell Sea, green frame) and the South-Eastern Weddell Sea during PS 96 (North Filchner Trough, South Filchner Trough, blue frame). Stations without Anobothrus konstantini Säring & Bick sp. nov. labeled with a cross. Information about sampled stations and number of individuals of A. konstantini Säring & Bick sp. nov. are given in Table 1.

Scattering and absorption coefficients calculated from size distributions and absorption photometer data at Dome C, Antarctica

The file contains the scattering and absorption coefficients presented in Virkkula et al.:  Aerosol optical properties calculated from size distributions, filter samples and absorption photometer data at Dome C, Antarctica and their relationships between seasonal cycles of sources, ACP-2021-562.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 1)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 1), we provide the daily snowfall time series resulting from the downscaling of the 7 first members of CESM2, using ERA5 and RACMO2.3p5.5 for training.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 3)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 3), we provide the daily snowfall time series resulting from the downscaling of the 3 last members of CESM2, using ERA-Interim (or ERA5) and RACMO2.3p5.5 for training.

MASS2ANT Snowfall Dataset (Downscaling @5.5km over Dronning Maud Land, Antarctica, 1850 - 2014): Daily fields (Part 2)

We provide in this dataset maps at 5.5 km resolution of the daily and yearly accumulated snowfall over emerged land (Ice Sheet) of Dronning Maud Land (Antarctica) from 1850 to 2014. We used a statistical method to derive fine resolution maps from GCM runs (CESM2, 10 runs). In the method, we searched for analogs in a database we constructed from the association between re-analyses large-scale meteorological fields (ERA5 and ERA-Interim) and RCM daily accumulated snowfall (RACMO2.3p5.5). RACMO2.3p5.5 data are available freely on request (<a href="https://www.projects.science.uu.nl/iceclimate/models/antarctica.php">https://www.projects.science.uu.nl/iceclimate/models/antarctica.php</a>). CESM2 CMIP6 runs are also freely available (<a href="https://esgf-node.llnl.gov/search/cmip6/">https://esgf-node.llnl.gov/search/cmip6/</a>). The complete description of the algorithm and performance is described in: Ghilain N., Vannitsem S., Dalaiden Q., Goosse H., De Cruz L., Wei W., Reconstruction of daily snowfall accumulation at 5.5km resolution over Dronning Maud Land, Antarctica, from 1850 to 2014 using an analog-based downscaling technique, submitted to Earth System Science Data (ESSD). The MASS2ANT Snowfall dataset is composed of the annual estimations of snowfall over Dronning Maud Land, the daily time series for the total period for all the emerged grid points of the domain, the principal components time series and Empirical Orthogonal Functions (EOF) offering the possibility to analyze the synoptic weather patterns associated to snowfall over the ice sheet and the Principal Component weights (PCs) time series from the re-analysis in case one wants to extend or improve the database. Realistic weather patterns can be recomposed in associating (product of matrices) the PCs with the EOFs. Here (Daily fields - Part 2), we provide the daily snowfall time series resulting from the downscaling of the 7 first members of CESM2, using ERA-Interim and RACMO2.3p5.5 for training.

Fig. 4 in Helminth Diversity In Teleost Fishes From The Area Of The Ukrainian Antarctic Station "Akademik Vernadsky", Argentine Islands, West Antarctica

Fig. 4. Cluster analysis of the similarity between the helminth communities in five teleost fish species off the area of the UAS "Akademik Vernadsky", Argentine Islands, and West Antarctica.

Fig. 3 in Helminth Diversity In Teleost Fishes From The Area Of The Ukrainian Antarctic Station "Akademik Vernadsky", Argentine Islands, West Antarctica

Fig. 3. Proportion (in %) of helminth species parasitize five Antarctic teleost fishes off the area of the UAS "Akademik Vernadsky" on larval and adult stages.

Fig. 2 in Helminth Diversity In Teleost Fishes From The Area Of The Ukrainian Antarctic Station "Akademik Vernadsky", Argentine Islands, West Antarctica

Fig. 2. Intensity of teleost fish infection off the area of the UAS "Akademik Vernadsky" by five parasite taxa (proportion of different parasite taxa is in %).

Fig. 1 in Helminth Diversity In Teleost Fishes From The Area Of The Ukrainian Antarctic Station "Akademik Vernadsky", Argentine Islands, West Antarctica

Fig. 1. Proportion (%) of five parasite taxa found in teleost fish off the area of the UAS "Akademik Vernadsky", Argentine Islands, West Antarctica.

opencc-by-4.0May 2020View details →

Fig. 2 in Helminths Of Antarctic Rockcod Notothenia Coriiceps (Perciformes, Nototheniidae) From The Akademik Vernadsky Station Area (Argentine Islands, West Antarctica): New Data On The Parasite Community

Fig. 2. Average number of cysts of Corynosoma spp. in the body cavity of Notothenia coriiceps of five size groups.

opencc-by-4.0May 2020View details →

Fig. 1 in Helminths Of Antarctic Rockcod Notothenia Coriiceps (Perciformes, Nototheniidae) From The Akademik Vernadsky Station Area (Argentine Islands, West Antarctica): New Data On The Parasite Community

Fig. 1. Prevalence (in %) and mean intensity of helminth species found in Notothenia coriiceps in the waters surrounding the Ukrainian Antarctic station "Akademik Vernadsky" in 2014–2015.

Dataset for "Investigation of Mars analog candidates around Syowa Station, Antarctica"

This dataset includes coordinate values of rock- and water-sampling points, water quality data, near-infrared spectrum data, subsurface hardness data, and photos obtained by the project AAS6304 "Investigation of Mars analog candidates around Syowa Station, Antarctica" during the 63rd Japanese Antarctic Research Expedition. Measurement and sampling points and water quality data are shown in "JARE63_AAS6304_data_sample_list.xlsx". "NIRScan_data.zip" is the near-infrared data obtained using NIR-S-G1, a NIR spectrometer (InnoSpectra Corporation, http://www.inno-spectra.com/en/product). "Aerial_photos.zip" includes photos taken from the helicopter.

opencc-by-4.0Jun 2022View details →

500-yr Projections of Thwaites Glacier, Antarctica, with MALI, including glacial isostatic adjustment

This archive contains model code, results, and analysis scripts for reproducing the material presented in the manuscript "Stabilizing effect of bedrock uplift on retreat of Thwaites Glacier, Antarctica, at centennial timescales" by Cameron Book, et al.  Questions should be directed to Matt Hoffman (mhoffman@lanl.gov). This archive contains the following directories: |-- MALI_code |-- PIGL_control |-- analysis |-- control |-- run_setup |-- N1 |-- N2 |-- N3 |-- N4 `-- PIGL_N3 'MALI_code' is a snapshot of the MALI repository used for these simulations, commit 454e0fc8bf384bee1c1560d6c3eaa5fae43bfdda. This commit is present in an older MALI repository that is no longer maintained, at https://github.com/MPAS-Dev/MPAS-Model MALI is currently maintained on Github at https://github.com/MALI-Dev/E3SM Building MALI requires the Albany multiphysics library, which is available at https://github.com/sandialabs/Albany.  The simulations presented use Albany master from March 5, 2021. 'analysis' contains the scripts used to process the model output and produce the figures and results presented in the manuscript.  Filepaths will have to be adjusted to your local layout. 'run_setup' is a directory of files and scripts necessary to reproduce the model simulations presented.  The GIA model giapy is in the file 'giascript.py'.  giapy can also be found on Github at https://github.com/skachuck/giapy 'control' is the control run with the GIA model disabled.  It corresponds to the run labeled CTRL in the manuscript. 'PIGL_control' is the control run using the high melt forcing.  It corresponds to the run labeled HM-CTRL in the manuscript. The five run directories included here (N1-N4, PIGL_N3) are the standard ensemble described in the manuscript.  (There is a separate archive for the runs briefly mentioned that exclude the elastic response of the lithosphere.) The individual runs have the following correspondence to the manuscript: N1=TYP N2=BEST2 N3=VLV-THIN N4=VLV PIGL_N3=HM-VLV-THIN Within each run directory, are the following model output files: globalStats.nc: MALI global, scalar time-series iceload_all.nc: Thwaites Glacier ice load on the GIA grid output_*.nc: MALI spatial output fields, separated by century uplift_GIA_all.nc: GIA output on GIA grid

opencc-by-4.0Jun 2022View details →

FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000-2021 based on MODIS imagery using Google Earth Engine

This is a supplementary data set for FABIAN: a daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000{2021 based on MODIS imagery using Google Earth Engine The files include: (1) Snow spectra modelled by TARTES, a two-stream radiative transfer model for light in snow (Libois et al., 2013). (2) Spectra extracted from MODIS, using AUTO-EM. (3) Endmember selection results, including ESS, EMC, and AMUSES. The other hyperspectral data from field measurements can be acquired by contact the original authors. Libois, Q., Picard, G., France, J., Arnaud, L., Dumont, M., Carmagnola, C., King, M., 2013. Influence of grain shape on light penetration in snow. The Cryosphere 7, 1803-1818.

opencc-by-4.0Jun 2022View details →

Fig. 1. Dentalina antarctica Parr, 1950. A in Taxonomy and distribution of recent species of the subfamily Nodosariinae (Foraminifera) in Icelandic waters

Fig. 1. Dentalina antarctica Parr, 1950. A. Side view of a young microsphere (BIOICE 2149, IINH 40405) with a spiral initial end; light source is a combination of Rotterman contrast and dark field, revealing the perforations with apparent coarse appearance. B–C. Side view (B), and apertural view (C) of megalosphere (BIOICE 2237, IINH 40408). D. Apertural view of a megalosphere (BIOICE 2697, IINH 40421). Light source in B–D is a combination of incident light and dark field. Scale bars = 0.25 mm.

opencc-by-4.0Sep 2022View details →

Seismic noise interferometry and Distributed Acoustic Sensing (DAS): Inverting for the firn layer S-velocity structure on Rutford Ice Stream, Antarctica

This dataset contains files including continuous DAS and geophone data and a refracted P wave travel time data collected on Rutford Ice Stream, Antarctica. The seismic data is used to perform seismic noise interferometry. The travel time data is used to perform refraction inversion to get the P wave velocity profile. 1. 7 hours of continuous DAS data (100 Hz sampling): 2020-01-14T00:00:19.598000Zoffset_****.mseed, with offset referring to the distance from the DAS channel to the interrogator. 2. Corresponding 7 hours of vertical component continuous geophone (A000, located at DAS channel offset 570 m) data. 3. Refraction P wave travel time from a geophone array refraction survey.

opencc-zeroSep 2022View details →

FIG. 3 in Redescription and phylogenetic assessment of Helicometra antarcticae Holloway & Bier, 1968 (Trematoda, Opecoelidae), with evidence of non-monophyletic status of the genus Helicometra Odhner, 1902

FIG. 3.. — Helicometra fasciata (Rudolphi, 1819) Odhner, 1902 sensu lato from intestine of black scorpionfish, Scorpaena porcus Linnaeus, 1758, Black Sea; whole mount, ventral view. Scale bar: 0.5 mm.

opencc-zeroSep 2022View details →

FIG. 2 in Redescription and phylogenetic assessment of Helicometra antarcticae Holloway & Bier, 1968 (Trematoda, Opecoelidae), with evidence of non-monophyletic status of the genus Helicometra Odhner, 1902

FIG. 2. — Helicometra sp. from intestine of tawnystripe eelpout, Lycodes cf. brunneofasciatus Suvorov, 1935, Northwest Pacific; whole mount, ventral view. Scale bar: 1 mm.