cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21546083.v2
title: Molecular dynamics simulations of the spike trimeric ectodomain of the SARS-CoV-2 Omicron variant: structural relationships with infectivity, evasion to immune system and transmissibility

description: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron is currently the most prevalent SARS-CoV-2 variant worldwide. Herein, we calculated molecular dynamics simulations of the trimeric spike<sup>WT</sup> and Spike<sup>BA.1</sup> for 300 ns. Our results show that Spike<sup>BA.1</sup> has more conformational flexibility than Spike<sup>WT</sup>. Our principal component analysis (PCA) allowed us to observe a broader spectrum of different conformations for Spike<sup>BA.1</sup>, mainly at N-terminal domain (NTD) and receptor-binding domain (RBD). Such increased flexibility could contribute to decreased neutralizing antibody recognition of this variant. Our molecular dynamics data show that the RBD<sup>BA.1</sup> easily visits an up-conformational state and the prevalent D614G mutation is pivotal to explain molecular dynamics results for this variant because to lost hydrogen bonding interactions between the residue pairs K854<sup>SC</sup>/D614<sup>SC</sup>, Y837<sup>MC</sup>/D614<sup>MC</sup>, K835<sup>SC</sup>/D614<sup>SC</sup>, T859<sup>SC</sup>/D614<sup>SC</sup>. In addition, Spike<sup>BA.1</sup> residues near the furin cleavage site are more flexible than in Spike<sup>WT</sup>, probably due to P681H and D614G substitutions. Finally, dynamical cross-correlation matrix (DCCM) analysis reveals that D614G and P681H may allosterically affect the cleavage site S1/S2. Conversely, S2' site may be influenced by residues located between NTD and RBD of a neighboring protomer of the Spike<sup>WT</sup>. Such communication may be lost in Spike<sup>BA.1</sup>, explaining the changes of the cell tropism in the viral infection. In addition, the movements of the NTD<sup>WT</sup> and NTD<sup>BA.1</sup> may modulate the RBD conformation through allosteric effects. Taken together, our results explain how the structural aspects may explain the observed gains in infectivity, immune system evasion and transmissibility of the Omicron variant. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.21561849
title: 共生植物对香菇草生理生化特性的影响研究.zip

description: Collected samples in the field, processed data by hand, and sent the microbiological part out for processing.
DOI: 10.6084/m9.figshare.21561849.v1
title: 共生植物对香菇草生理生化特性的影响研究.zip

description: Collected samples in the field, processed data by hand, and sent the microbiological part out for processing.
DOI: 10.34740/kaggle/dsv/4520461
title: Intel Core i3 - Compact List
DOI: 10.5281/zenodo.7272064
title: CT-OCR-2022 (folded002, part2)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7272065
title: CT-OCR-2022 (folded002, part2)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7324019
title: CT-OCR-2022 (folded002, part2)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.26179/5b7383571c3f7
title: Studies on the wingless fly (Calycopteryx moseleyi minor. end.) at Heard Island, 1951
DOI: 10.26179/5b7366c8cb3bf
title: Diving Petrel (Pelecanoides) data tables from Heard Island - circa 1948-1960
DOI: 10.5281/zenodo.7325032
title: Analysis of Bussines online and Atificial Intellegence

description: Payment cards offer a simple and convenient method for making purchases. Owing to the increase in the usage of payment cards, especially in online purchases, fraud cases are on the rise. The rise creates financial risk and uncertainty, as in the commercial sector, it incurs billions of losses each year. However, real transaction records that can facilitate the development of effective predictive models for fraud detection are difficult to obtain, mainly because of issues related to confidentially of customer information. In this paper, we apply a total of 13 statistical and machine learning models for payment card fraud detection using both publicly available and real transaction records. The results from both original features and aggregated features are analyzed and compared. A statistical hypothesis test is conducted to evaluate whether the aggregated features identified by a genetic algorithm can offer a better discriminative power, as compared with the original features, in fraud detection. The outcomes positively ascertain the effectiveness of using aggregated features for undertaking real-world payment card fraud detection problems.
DOI: 10.5281/zenodo.7325031
title: Analysis of Bussines online and Atificial Intellegence

description: Payment cards offer a simple and convenient method for making purchases. Owing to the increase in the usage of payment cards, especially in online purchases, fraud cases are on the rise. The rise creates financial risk and uncertainty, as in the commercial sector, it incurs billions of losses each year. However, real transaction records that can facilitate the development of effective predictive models for fraud detection are difficult to obtain, mainly because of issues related to confidentially of customer information. In this paper, we apply a total of 13 statistical and machine learning models for payment card fraud detection using both publicly available and real transaction records. The results from both original features and aggregated features are analyzed and compared. A statistical hypothesis test is conducted to evaluate whether the aggregated features identified by a genetic algorithm can offer a better discriminative power, as compared with the original features, in fraud detection. The outcomes positively ascertain the effectiveness of using aggregated features for undertaking real-world payment card fraud detection problems.
DOI: 10.26179/5b72625acf730
title: Digital terrain model of Antarctica in ESRI Grid format, derived from ERS Radar Altimeter data.
DOI: 10.5517/ccdc.csd.cc2bd6rq
title: CCDC 2156693: Experimental Crystal Structure Determination

description: Related Article: Awal Noor, Sadaf Qayyum, Zafar Ali, Niaz Muhammad|2023|J.Mol.Struct.|1274|134442|doi:10.1016/j.molstruc.2022.134442
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bd6wv
title: CCDC 2156697: Experimental Crystal Structure Determination

description: Related Article: Awal Noor, Sadaf Qayyum, Zafar Ali, Niaz Muhammad|2023|J.Mol.Struct.|1274|134442|doi:10.1016/j.molstruc.2022.134442
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26179/5b723b243a035
title: Hand written data sheets detailing stomach contents of birds captured on Heard Island in 1951
DOI: 10.5517/ccdc.csd.cc2cmghz
title: CCDC 2193451: Experimental Crystal Structure Determination

description: Related Article: Ao Liu|2022|CSD Communication|||
description: Related Article: Ao Liu, Xin Meng, Chen-Chen Shen, Zhi-Yuan Zhang, Chunju Li|2022|Chem.Commun.|58|12684|doi:10.1039/D2CC04673C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26179/5b723821575ae
title: Statistics on ornithological (bird) data collected from Heard Island in 1950-1951
DOI: 10.26179/5b7235e25f1fc
title: Heard Island Ice Coverage GIS Dataset
DOI: 10.5281/zenodo.7323037
title: Dataset Literature Review Digital Forensic AND Methods

description: Data yang saya upload adalah data yang mana diambil dari lens.org dengan memasukkan keyword/kata kunci “Digital Forensic” “Methods” pada Scholarly Works lalu akan muncul banyak jumlah Scholarly Works yang kemudian sesuai instruksi saya filter sebanyak 3 kali.<br> Yang pertama, saya filter pada bagian Document Type = Journal Articel, selanjutnya yang kedua filter Years = 2012-2022, dan yang ketiga adalah pada bagian Subject,Subject Matter = Law.<br> Yang mana disetiap melakukan filter saya mengekspor data dalam 2 bentuk yaitu, Csv dan BibTex sekaligus menyimpan gambar Analysis Data yang tertera.
DOI: 10.5281/zenodo.7323038
title: Dataset Literature Review Digital Forensic AND Methods

description: Data yang saya upload adalah data yang mana diambil dari lens.org dengan memasukkan keyword/kata kunci “Digital Forensic” “Methods” pada Scholarly Works lalu akan muncul banyak jumlah Scholarly Works yang kemudian sesuai instruksi saya filter sebanyak 3 kali.<br> Yang pertama, saya filter pada bagian Document Type = Journal Articel, selanjutnya yang kedua filter Years = 2012-2022, dan yang ketiga adalah pada bagian Subject,Subject Matter = Law.<br> Yang mana disetiap melakukan filter saya mengekspor data dalam 2 bentuk yaitu, Csv dan BibTex sekaligus menyimpan gambar Analysis Data yang tertera.
DOI: 10.34740/kaggle/dsv/4520536
title: Gym_Administration
DOI: 10.26179/5b7217c1b5e9a
title: Geological Observations of Heard Island - 1948
DOI: 10.26179/5b70dff90de72
title: Survey of Elephant Seals at Atlas Cove, Heard Island, December 2008
DOI: 10.26179/5b6d2dfc53002
title: Heard Island 1986-1987 Scientific Expedition Report
DOI: 10.26179/5b6d13717fd4f
title: Bird habitat surveys conducted during the 2004/05 summer and descriptive information of the terrestrial environment in the Mawson region
DOI: 10.26179/5b6d10d5afb8d
title: Bird habitat surveys conducted in the Windmill Islands during 2002/03 and descriptive information of the terrestrial Environment in the Windmill Islands
DOI: 10.26179/5b6cf675c9336
title: Slope corrected orthometric heights of Antarctica derived from ERS Radar Altimetry
DOI: 10.26179/5b6cf22a90145
title: The use of ground penetrating radar in contaminated site assessment in Antarctica - a pilot study at Casey and Wilkes
DOI: 10.26179/5b6cef098c016
title: A digital terrain model of Antarctica in Triangulated Irregular Network (TIN) format, derived from ERS Radar Altimetry.
DOI: 10.26179/5b6bcaa9eefcf
title: The use of ground penetrating radar for road management in Antarctica
DOI: 10.26179/5b6bc5b023ff3
title: Use of ground penetrating radar to elucidate ice structure and moraine formation processes in the Windmill Islands
DOI: 10.26179/5b6bbf37a55b1
title: Ground Penetrating Radar data collected at Macquarie Island at the Station, tip and transmitter hut sites
DOI: 10.26179/5b6a4b714a15d
title: Cirrus cloud and ancillary data from June 2011 at Davis Station, Antarctica
DOI: 10.26179/5b6a4b3dbaf06
title: The measured oxygen isotopic data for the "DSS" (Dome Summit South) Law Dome ice core.
DOI: 10.26179/5b691a7d362af
title: Antarctic ice shelf disintegration triggered by sea ice loss and ocean swell
DOI: 10.26179/5b6902a5e0b87
title: Robinson Ridge Modeled Moss Health as a percentage 3 cm resolution
DOI: 10.26179/5b68fe4510c43
title: ASPA135 Modeled Moss Health as a percentage 3 cm resolution
DOI: 10.26179/5b68f9912dcea
title: Robinson Ridge 2011 Modeled Moss Health as a percentage 3 cm resolution
DOI: 10.26179/5b610df6076ed
title: Antarctic sea ice extent data - 1980-1988
DOI: 10.26179/5b5950abd5fd5
title: Macquarie Island Station Fire Hydrants GIS Dataset
DOI: 10.26179/5b3c4244b0c53
title: Nest and colony locations for albatross and giant petrels on Macquarie Island
DOI: 10.4225/15/5b35cea358e76
title: Elephant Seal Sightings, Heard Island (1949 to 1960)
DOI: 10.4225/15/5b35bbdc5c3de
title: Subset of data from the TAGS database of known age seals - Weddell Seals
DOI: 10.4225/15/5b347f46b2f6f
title: Subset of data from the TAGS database of known age seals - Leopard Seals
DOI: 10.4225/15/5b347aa58b93e
title: Seal database of known-age animals from the Antarctic and subantarctic Southern Ocean
DOI: 10.4225/15/5b32d9a9b6405
title: Resilience of Antarctic marine benthic invertebrates and the ecological consequences of environmental change - Amphipod Data
DOI: 10.4225/15/5b32c7f546d1d
title: Can remote sensing be used to map vegetation and monitor community change in Antarctica?
DOI: 10.4225/15/5b31be45e8977
title: Heard Island and McDonald Islands (HIMI) Marine Ecosystem
DOI: 10.4225/15/5b3076aa80314
title: Impacts of trawling on benthic habitats in the subantarctic and high Antarctic - 2009-2010 fieldwork
DOI: 10.4225/15/5b2c77768eef7
title: Cloud-Cam record for the 2016 K-Axis voyage
DOI: 10.4225/15/5b235b91a7143
title: Data for flow cytometry, FlowCam, and microscopy comparison experiment
DOI: 10.4225/15/5b234e4bb9313
title: Data for manuscript 'Ocean acidification reduces growth and grazing of Antarctic heterotrophic nanoflagellates'
DOI: 10.4225/15/5b1f0571c21b7
title: Census of southern giant petrel nesting areas on Frazier Islands 14 December 2005
DOI: 10.4225/15/5b1a2239f3d70
title: Census of southern giant petrel nesting areas on Frazier Islands 12 December 2011
DOI: 10.4225/15/5b1a199344954
title: Windmill Islands flying bird nesting areas from field work by Jan van Franeker
DOI: 10.4225/15/5b1a0ea7c389f
title: Windmill Islands flying bird nesting areas and adelie penguin colonies from field work by Eric Woehler
DOI: 10.4225/15/5b0c939e9a832
title: Population genetics of east Antarctic sea urchins
DOI: 10.5281/zenodo.7267142
title: CT-OCR-2022 (folded002, part1)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7267141
title: CT-OCR-2022 (folded002, part1)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7324016
title: CT-OCR-2022 (folded002, part1)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.4225/15/5b07a83fa9364
title: Nella Dan: GEOSCIENCE Cruise - Oceanography data
DOI: 10.4225/15/5b0796620616f
title: Australian Geological Activities in the Northern Prince Charles Mountains
DOI: 10.5281/zenodo.7157600
title: CT-OCR-2022 (scroll002)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7157601
title: CT-OCR-2022 (scroll002)

description: <strong>CT-OCR-2022 dataset</strong> <strong>Dataset is in the process of uploading, we plan to release packages scroll01-scroll04 by October 15, 2022, and packages folded01-folded-02 by October 29, 2022.</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, 400 X-ray projections, 2687 CT-reconstructed cross-sections and segmentation markups for 6 model objects. Description of the data for each model object is presented in the table. Files Data description [package].proj_src/proj_s_.log X-ray measurement log file [package].proj_src/*.tif preprocessed projections before rotation axe correction [package].proj_norm/proj_s_.log X-ray measurement and geometry correction log file [package].proj_norm/*.tif preprocessed projections after rotation axe correction [package].rec_XXXX/metadata.json reconstruction metadata [package].rec_XXXX/*.tif CT-reconstructed volume, slices with size XXXX×XXXX [package].seg_XXXX/*.tif.seg.png segmentation markup [package].blank.png sample croped from pdf [package].scan.png sample croped from scanned image Due to the large amount of data, folders were packed into multi-volume zip-archives. Dataset published in Zenodo service in several linked repositories. scroll01 - https://doi.org/10.5281/zenodo.7123495<br> scroll02 - Any questions, complaints, etc. can be directed to: polevoy@smartengines.com (Dmitry Polevoy) The article about this dataset is currently under review. When the article is published, the full reference will be added.
DOI: 10.5281/zenodo.7221350
title: CT-OCR-2022 (scroll002)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.4225/15/5b078d394c7fd
title: Raw GC data to support paper 'Investigation of evaporation and biodegradation of fuel spills in Antarctica: II - Extent of natural attenuation at Casey Station'
DOI: 10.4225/15/5b04f3c4b1d69
title: Locations of cavity nesting species (snow petrels or Wilsons storm petrels), Mawson and Davis Regions
DOI: 10.4225/15/5b0224d8ba453
title: Boundary layer profiles during melting of the sloping ice shelves
DOI: 10.4225/15/5b022497c7b72
title: Meltrate of basal ice shelves at difference inclination
DOI: 10.4225/15/5afe71576cb33
title: Investigation of evaporation and biodegradation of fuel spills in Antarctica - a chemical approach using GC-FID
DOI: 10.4225/15/5afe52739e2c5
title: Framnes Mountains contours smoothed and edited.
DOI: 10.4225/15/5afe521b43d64
title: Flora and fauna survey of the Stillwell Hills, 1996/97 - GIS data
DOI: 10.5281/zenodo.7157610
title: CT-OCR-2022 (scroll003)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.5281/zenodo.7157611
title: CT-OCR-2022 (scroll003)

description: &lt;p&gt;&lt;strong&gt;CT-OCR-2022 dataset&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;CT-OCR-2022 dataset contains optically scanned images for source paper document, 400 X-ray projections, 2687 CT-reconstructed cross-sections and  segmentation markups for 6 model objects.&lt;/p&gt; &lt;p&gt;Description of the data for each model object is presented in the table.&lt;/p&gt; &lt;table&gt;<br> &lt;thead&gt;<br> &lt;tr&gt;<br> &lt;th scope="col"&gt;Files&lt;/th&gt;<br> &lt;th scope="col"&gt;Data description&lt;/th&gt;<br> &lt;/tr&gt;<br> &lt;/thead&gt;<br> &lt;tbody&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].proj_src/proj_s_.log&lt;/td&gt;<br> &lt;td&gt;X-ray measurement log file&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].proj_src/*.tif&lt;/td&gt;<br> &lt;td&gt;preprocessed projections before rotation axe correction&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].proj_norm/proj_s_.log&lt;/td&gt;<br> &lt;td&gt;X-ray measurement and geometry correction log file&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].proj_norm/*.tif&lt;/td&gt;<br> &lt;td&gt;preprocessed projections after rotation axe correction&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].rec_XXXX/metadata.json&lt;/td&gt;<br> &lt;td&gt;reconstruction metadata&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].rec_XXXX/*.tif&lt;/td&gt;<br> &lt;td&gt;CT-reconstructed volume, slices with size XXXX&times;XXXX&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].seg_XXXX/*.tif.seg.png&lt;/td&gt;<br> &lt;td&gt;segmentation markup&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].blank.png&lt;/td&gt;<br> &lt;td&gt;sample croped from pdf&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;tr&gt;<br> &lt;td&gt;[package].scan.png&lt;/td&gt;<br> &lt;td&gt;sample croped from scanned image&lt;/td&gt;<br> &lt;/tr&gt;<br> &lt;/tbody&gt;<br> &lt;/table&gt; &lt;p&gt;Due to the large amount of data, folders were packed into multi-volume zip-archives. Dataset published in Zenodo service in several linked repositories.&lt;/p&gt; &lt;p&gt;Any questions, complaints, etc. can be directed to: polevoy@smartengines.com (Dmitry Polevoy)&lt;/p&gt; &lt;p&gt;The article about this dataset is currently under review. When the article is published, the full reference will be added.&lt;/p&gt;
DOI: 10.5281/zenodo.7324316
title: CT-OCR-2022 (scroll003)

description: <strong>CT-OCR-2022 dataset</strong> CT-OCR-2022 dataset contains optically scanned images for source paper document, X-ray projections, CT-reconstructed cross-sections and segmentation markups for model objects. Description of the structure of the dataset, contacts and information about the reference to the dataset see at https://doi.org/10.5281/zenodo.7123495.
DOI: 10.4225/15/5afe51c19988f
title: Nella Dan: FIBEX Cruise - Zooplankton data
DOI: 10.4225/15/5afe5189badf8
title: Nella Dan: FIBEX Cruise - Oceanographic and nutrient data
DOI: 10.4225/15/5afe513ba1b73
title: Landfast Sea Ice Areal Coverage and Nearest Distance off the Adelie Land Coast
DOI: 10.4225/15/5afe50d677c8e
title: Fast-ice Distribution in East Antarctica During 1997 and 1999 Determined Using RADARSAT Data
DOI: 10.4225/15/5afe5091c8697
title: Reliability shapefile for slope corrected orthometric heights of Antarctica derived from ERS radar altimetry
DOI: 10.4225/15/5afe4eb5afc9b
title: Contours for the Amery Region map dated November 2002.
DOI: 10.4225/15/5afe4e84c5143
title: 500 metre interval contours of Antarctica derived from ERS radar altimetry data.
DOI: 10.4225/15/5afcbb7405882
title: ARGOS Tracking Data of Fur Seals from Macquarie Island in 1997-1999
DOI: 10.4225/15/5afcadad6c130
title: Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research
DOI: 10.4225/15/5af3cbf350bf0
title: Filtered Argos location data for pygmy blue whales 2009 and 2011
DOI: 10.4225/15/5aefee7375433
title: Radio-echo sounding (RES) ice thickness data and Ice Sheet Surface Elevation data: Enderby-Kemp Lands
DOI: 10.4225/15/5aeaa3cf552c0
title: Emperor Penguin Colony at Peterson Bank