cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25721/t5eq-d408
title: Conversation avant les chants
DOI: 10.25721/0r9c-gq95
title: Au clair de la lune
DOI: 10.25721/xehy-3m95
title: Bonne nuit tous
DOI: 10.6084/m9.figshare.16912081
title: Genetic risk score for plasma uric acid levels is associated with early rapid kidney function decline in type 2 diabetes

description: Supplemental Data
DOI: 10.6084/m9.figshare.16912081.v1
title: Genetic risk score for plasma uric acid levels is associated with early rapid kidney function decline in type 2 diabetes

description: Supplemental Data
DOI: 10.25721/t529-2c41
title: Information sur le "service" en patois une fois par an pour la Société Guernesiaise avec tous les cultes, le dimanche de la Pentecôte (culte protestant), un autre "service" pour les moissons
DOI: 10.25721/r22b-en35
title: Information sur la langue guernesiaise et le français
DOI: 10.25721/1p5t-2y43
title: Information sur la musique du bataillon de Guernesey pendant la guerre de 1914 : "Royal Guernesey light infantry"
DOI: 10.25721/emcs-nj73
title: Jean gros Jean
DOI: 10.3886/e116335v1-100260
title: Replication data for: The Effect of Income on Religiousness

description: How does income affect religiousness? Using self-collected survey data, we estimate the effects of income on religious behavior. As a source of exogenous income variation we use a change in the eligibility criteria for a government cash transfer in Ecuador and apply a regression discontinuity strategy to estimate causal effects. We find significant effects of income on religiousness. Families that earn more go to church more often. Families that earn more are also more likely to be members of an Evangelical community rather than of the mainstream Catholic Church. (JEL D14, H23, J12, J31, O15, Z12)
DOI: 10.3886/e116335v1-100261
title: Replication data for: The Effect of Income on Religiousness

description: How does income affect religiousness? Using self-collected survey data, we estimate the effects of income on religious behavior. As a source of exogenous income variation we use a change in the eligibility criteria for a government cash transfer in Ecuador and apply a regression discontinuity strategy to estimate causal effects. We find significant effects of income on religiousness. Families that earn more go to church more often. Families that earn more are also more likely to be members of an Evangelical community rather than of the mainstream Catholic Church. (JEL D14, H23, J12, J31, O15, Z12)
DOI: 10.25721/dshe-v343
title: Jean gros Jean
DOI: 10.25721/pm6c-1v13
title: Information sur les cantiques
DOI: 10.25721/k1td-v489
title: Ma Normandie
DOI: 10.6084/m9.figshare.16912021
title: Social Media Research for comments on YouTube Community Postxlsx

description: As social media has given its users complete freedom to express themselves online anonymously, bad behavior online is escalating and hate among nations is demonstrated oftenly. This research complies a dataset that represents five sections of comments 1 hate against nations, 2 Islamophobia, 3 Pro Islamists, 4 Neutral comments and 5 Irrelevants. These five categories are taken from 5 different international YouTube cahnnels from different continents 1 WION, 2 BBC, 3 Aljazeera, 4 eNCA, and 5 ABC News. Random sampling technique is used to include participants from the comments. 2 Posts from each channel are taken into considersation.
DOI: 10.25345/c5455c
title: MassIVE MSV000088293 - Pyrrolizidine alkaloids of Chinese medicines screening-datasets massive upload-2021-11-1
title: Screening and identifying PAs of TCMs based on UHPLC-Q-Exactive mass spectrometry
DOI: 10.5281/zenodo.5636152
title: Azotea Dataset

description: Latest monthly AZOTEA reduced CSV files
DOI: 10.5281/zenodo.5636156
title: La Liga Stats 2021

description: This dataset contains a set of statistics regarding the spanish first division teams. Each field value has been computed as the mean for the last 30 games played, for the following statistics: Possession Passes Tackles Corners Shots - Total Shots - On target Shots - Off target Shots - Blocked Shots - Outside Box Shots - Inside Box Fouls Offsides Yellow Card Red Card Penalties Data has been obtained from https://playerstats.football
DOI: 10.5281/zenodo.5636155
title: La Liga Stats 2021

description: This dataset contains a set of statistics regarding the spanish first division teams. Each field value has been computed as the mean for the last 30 games played, for the following statistics: Possession Passes Tackles Corners Shots - Total Shots - On target Shots - Off target Shots - Blocked Shots - Outside Box Shots - Inside Box Fouls Offsides Yellow Card Red Card Penalties Data has been obtained from https://playerstats.football
DOI: 10.6084/m9.figshare.16912573
title: Correlation Between Acute and Chronic Inflammatory States, a Case Control Study

description: Excel sheet of data from cases and controls; graphs of cases and controls
DOI: 10.5517/ccdc.csd.cc1j5696
title: CCDC 1405177: Experimental Crystal Structure Determination

description: Related Article: Amandine Roux, Romain Talon, Zaynab Alsalman, sylvain Engilberge, Anthony D'Aleo, Sebastiano Di Pietro, Adeline Robin, Alessio Bartocci, Guillaume Pilet, Elise Dumont, Tristan Wagner, Seigo Shima, François Riobé, Eric Girard, Olivier Maury|2021|CSD Communication|||
description: Related Article: Amandine Roux, Romain Talon, Zaynab Alsalman, Sylvain Engilberge, Anthony D’Aléo, Sebastiano Di Pietro, Adeline Robin, Alessio Bartocci, Guillaume Pilet, Elise Dumont, Tristan Wagner, Seigo Shima, François Riobé, Eric Girard, Olivier Maury|2021|Inorg.Chem.|60|15208|doi:10.1021/acs.inorgchem.1c01635
DOI: 10.5517/ccdc.csd.cc1j56b7
title: CCDC 1405178: Experimental Crystal Structure Determination

description: Related Article: Amandine Roux, Romain Talon, Zaynab Alsalman, Sylvain Engilberge, Anthony D’Aléo, Sebastiano Di Pietro, Adeline Robin, Alessio Bartocci, Guillaume Pilet, Elise Dumont, Tristan Wagner, Seigo Shima, François Riobé, Eric Girard, Olivier Maury|2021|Inorg.Chem.|60|15208|doi:10.1021/acs.inorgchem.1c01635
DOI: 10.5517/ccdc.csd.cc26y41c
title: CCDC 2053782: Experimental Crystal Structure Determination

description: Related Article: Li-qiong Luo, Hang Zhou, Quan-cheng Liu, Hu Deng, Wen-jia Hao, Jin-kun Guo, Tao Huang, Bo Jin, Ru-fang Peng|2021|Energetic Materials Frontiers|2|186|doi:10.1016/j.enmf.2021.08.002
DOI: 10.5517/ccdc.csd.cc27jwnb
title: CCDC 2071812: Experimental Crystal Structure Determination

description: Related Article: Li-qiong Luo, Hang Zhou, Quan-cheng Liu, Hu Deng, Wen-jia Hao, Jin-kun Guo, Tao Huang, Bo Jin, Ru-fang Peng|2021|Energetic Materials Frontiers|2|186|doi:10.1016/j.enmf.2021.08.002
DOI: 10.5517/ccdc.csd.cc27ykmd
title: CCDC 2083994: Experimental Crystal Structure Determination

description: Related Article: yongtao Yongtao Wang|2021|CSD Communication|||
description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|Dyes Pigm.|197|109888|doi:10.1016/j.dyepig.2021.109888
DOI: 10.5517/ccdc.csd.cc27yknf
title: CCDC 2083995: Experimental Crystal Structure Determination

description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|Dyes Pigm.|197|109888|doi:10.1016/j.dyepig.2021.109888
DOI: 10.5517/ccdc.csd.cc27ykpg
title: CCDC 2083996: Experimental Crystal Structure Determination

description: Related Article: Yongtao Wang, Zhean Qian, Xueming Li, Anjun Qin, Yanjun Guo, Benzhong Tang|2021|Dyes Pigm.|197|109888|doi:10.1016/j.dyepig.2021.109888
DOI: 10.5517/ccdc.csd.cc2800x7
title: CCDC 2085398: Experimental Crystal Structure Determination

description: Related Article: Wassim Maalej, Rim Jaballi, Asma Ben Rached, Philippe Guionneau, Nathalie Daro, Zakaria Elaoud|2021|J.Mol.Struct.|1250|131728|doi:10.1016/j.molstruc.2021.131728
DOI: 10.5517/ccdc.csd.cc27ht5r
title: CCDC 2070774: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Chao-Ran Huang, Jun-Chao Liu, Yu-Ling Zeng, Ren-Gen Xiong|2021|Chem.-Eur.J.|27|14831|doi:10.1002/chem.202102142
DOI: 10.5517/ccdc.csd.cc27ht6s
title: CCDC 2070775: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Chao-Ran Huang, Jun-Chao Liu, Yu-Ling Zeng, Ren-Gen Xiong|2021|Chem.-Eur.J.|27|14831|doi:10.1002/chem.202102142
DOI: 10.5517/ccdc.csd.cc2846rd
title: CCDC 2089423: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Chao-Ran Huang, Jun-Chao Liu, Yu-Ling Zeng, Ren-Gen Xiong|2021|Chem.-Eur.J.|27|14831|doi:10.1002/chem.202102142
DOI: 10.5517/ccdc.csd.cc2846sf
title: CCDC 2089424: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Chao-Ran Huang, Jun-Chao Liu, Yu-Ling Zeng, Ren-Gen Xiong|2021|Chem.-Eur.J.|27|14831|doi:10.1002/chem.202102142
DOI: 10.5517/ccdc.csd.cc2846tg
title: CCDC 2089425: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Chao-Ran Huang, Jun-Chao Liu, Yu-Ling Zeng, Ren-Gen Xiong|2021|Chem.-Eur.J.|27|14831|doi:10.1002/chem.202102142
DOI: 10.5517/ccdc.csd.cc284y6l
title: CCDC 2090119: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284y7m
title: CCDC 2090120: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284y8n
title: CCDC 2090121: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5281/zenodo.5636194
title: Table S1 Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of An improved grey wolf optimizer for process optimization of pulsed laser cutting of electrical steel sheet in different environments.
DOI: 10.5281/zenodo.5636193
title: Table S1 Full factorial combination of laser process parameters and experimental results.

description: This dataset is experimental results from a research topic of An improved grey wolf optimizer for process optimization of pulsed laser cutting of electrical steel sheet in different environments.
DOI: 10.5281/zenodo.5635766
title: Covid 19 Dataset, Cases by Country, Vaccination, GDP and Average Temperature

description: Dataset del covid-19 obtenido mediante técnicas de web Scrapping
DOI: 10.5281/zenodo.5594957
title: Covid 19 Dataset, Cases by Country, Vaccination, GDP and Average Temperature

description: Dataset del covid-19 obtenido mediante técnicas de web Scrapping
DOI: 10.5281/zenodo.5527625
title: Data for "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core"

description: This file is the dataset used in the article "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core", <em>Commun. Earth Environ.</em> <strong>2</strong>, 225 (2021). https://doi.org/10.1038/s43247-021-00298-1
DOI: 10.5281/zenodo.5527624
title: Data for "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core"

description: This file is the dataset used in the article "Two-phase mixture of iron-nickel-silicon alloys in the Earth's inner core", <em>Commun. Earth Environ.</em> <strong>2</strong>, 225 (2021). https://doi.org/10.1038/s43247-021-00298-1
DOI: 10.6084/m9.figshare.16912618
title: OCT dataset

description: OCT data (height map) for fast (A1) and slow (A5) region.
DOI: 10.6084/m9.figshare.16912615
title: InterPro analysis results of Juniperus squamata

description: Cupressaceae is the second largest family of coniferous trees (Coniferopsida) with important economic and ecological values. However, like other conifers, the members of Cupressaceae have extremely large genome (&gt;8 gigabytes), which limited the researches of these taxa. A high-quality transcriptome is an important resource for gene discovery and annotation for non-model organisms.
DOI: 10.6084/m9.figshare.16912615.v1
title: InterPro analysis results of Juniperus squamata

description: Cupressaceae is the second largest family of coniferous trees (Coniferopsida) with important economic and ecological values. However, like other conifers, the members of Cupressaceae have extremely large genome (&gt;8 gigabytes), which limited the researches of these taxa. A high-quality transcriptome is an important resource for gene discovery and annotation for non-model organisms.
DOI: 10.5281/zenodo.5636238
title: Data Science job offers in Euraxess.

description: It is not always easy to find job opportunities if you are interested in beginning to do research in a certain field. In this sense, having an up-to-date dataset with job offers in your field of interest would simplify this search. This dataset could be generated using web scraping methods. Although the web scraper we built could be applied to every field, in this project we focused in opportunities related with data science (i.e. data scientist, data analyst, data engineer...) published on EURAXESS. The dataset generated with this package contains job offers obtained from EURAXESS. Each row of the dataset contains different job offers and its attributes. In the example table showed below, the dataset was obtained using "Data Scientist" as keyword, but another keywords would result in different datasets. The columns describing the dataset are: Job Offer Title: Title of the job offer. Researcher Profile: Expected applicant profile/s. Company: Company offering the job. Hours/Week: Weekly working hours. Country: Country where the job is offered. City: City where the job is offered. Where to Apply: Url or email where to apply to the offer. More info: URL where the offer can be located. Dataset generated by web scraping methods: https://github.com/avicenteg/euraxess_scraping
DOI: 10.25646/9194
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5519/qd.hfygisg7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (56 records)
DOI: 10.23728/b2share.ec3f0132aa2c4a088cecc99725eb0677
title: Designing a Brazilian energy system model for studying energy planning at high spatial and temporal resolution

description: This is the supplementary of cost table for the paper
DOI: 10.34740/kaggle/dsv/2765710
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/2765726
title: AutoXGB
DOI: 10.34740/kaggle/dsv/2765735
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.16912639
title: phototrophic biofilms oxygen slow/light

description: oxygen microprofiles measured under slow flow and light conditions.
DOI: 10.3886/e153701
title: Tweets related to UNC Charlotte campus shooting

description: After shooting on UNC Charlotte's campus in April 2019, tweets were pulled from 4/30/19-5/7/19. Tweets included 16,749 tweets using keywords related to the mass shooting (e.g. “shooting,” “gun violence,” “UNC Charlotte”).
DOI: 10.3886/e153701v1
title: Tweets related to UNC Charlotte campus shooting

description: After shooting on UNC Charlotte's campus in April 2019, tweets were pulled from 4/30/19-5/7/19. Tweets included 16,749 tweets using keywords related to the mass shooting (e.g. “shooting,” “gun violence,” “UNC Charlotte”).
DOI: 10.14272/hayownbkgqfxih-uhfffaoysa-n.1
title: N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine
title: InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3

description: This dataset contains experimental data from a sample (N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine, InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) electron ionisation mass spectrometry (EI-MS)
DOI: 10.14272/hayownbkgqfxih-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine)
title: InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3026 (w), 3017 (vw), 2976 (w), 2925 (vs), 2888 (m), 2847 (s), 2810 (s), 2786 (w), 2774 (w), 2754 (s), 1880 (vw), 1588 (w), 1497 (w), 1462 (w), 1449 (s), 1435 (m), 1412 (m), 1357 (m), 1309 (w), 1252 (m), 1207 (w), 1170 (s), 1142 (m), 1096 (w), 1041 (w), 1023 (vs), 989 (w), 936 (w), 905 (s), 870 (s), 843 (s), 795 (vs), 766 (s), 714 (vs), 683 (w), 649 (vs), 633 (w), 620 (s), 577 (m), 527 (w), 517 (vs), 492 (vs), 397 (w), 382 (m) cm–1.
DOI: 10.14272/hayownbkgqfxih-uhfffaoysa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) (N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine)
title: InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3

description: dataset for electron ionisation mass spectrometry (EI-MS) MS (EI, 70 eV, %) m/z = 265 (76) [M]+, 161 (83) [M–C8H8]+, 104 [C8H8]. HRMS (EI, [M]+, C19H23N) calcd.: 265.1830; found: 265.1831.
DOI: 10.14272/hayownbkgqfxih-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine)
title: InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 6.62 (dd, J = 7.8, 1.9 Hz, 1H, HAr), 6.53 (dd, J = 7.8, 1.9 Hz, 1H, HAr), 6.50–6.46 (m, 2H, HAr), 6.44 (d, J = 7.7 Hz, 1H, HAr), 6.40 (dd, J = 7.8, 1.9 Hz, 1H, HAr), 6.28 (d, J = 1.9 Hz, 1H, HAr), 3.56–3.44 (m, 2H, CH2NMe2, HPc), 3.14 (ddd, J = 13.1, 10.7, 2.2 Hz, 1H, HPc), 3.10–3.02 (m, 3H, CH2NMe2, HPc), 3.01–2.94 (m, 3H, HPc), 2.84 (ddd, J = 13.5, 10.8, 6.0 Hz, 1H, HPc), 2.16 (s, 6H, NCH3).
DOI: 10.14272/hayownbkgqfxih-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (N,N-dimethyl-1-(5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenyl)methanamine)
title: InChI=1S/C19H23N/c1-20(2)14-19-13-17-8-7-15-3-5-16(6-4-15)9-11-18(19)12-10-17/h3-6,10,12-13H,7-9,11,14H2,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 139.7 (Cq, CAr), 139.6 (Cq, CAr), 139.6 (Cq, CAr), 138.8 (Cq, CAr), 138.0 (Cq, CAr), 135.4 (+, CH, CAr), 134.9 (+, CH, CAr), 133.4 (+, CH, CAr), 133.3 (+, CH, CAr), 132.2 (+, CH, CAr), 131.6 (+, CH, CAr), 129.0 (+, CH, CAr), 63.4 (–, CH2, CH2NMe2), 45.9 (+, 2C, CH3, NCH3), 35.4 (–, CH2), 35.1 (–, CH2), 34.6 (–, CH2), 33.4 (–, CH2).
DOI: 10.5281/zenodo.3518765
title: Raw multibeam bathymetry data collected around Bouvetoya in the South Atlantic Ocean on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around Bouvetoya in the South Atlantic Ocean in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. <strong>Dataset contents</strong> lineYYYYDDmonHHMMSS.xse, data file, proprietary format location.hydrostar, ancillary file, ASCII data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511", "Henry, T., Robinson, C., Haumann, F. A., Thomas, J., Hutchings, J., Schuback, N., Tsukernik, M. and Leonard, K. (2019). Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE). (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247384", "Caress and Chayes, 1993. MB-System Software."]}