cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2636762
title: Equivalent black carbon aerosol measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.

description: <strong>Dataset abstract</strong> The authors would highly appreciate to be contacted if the data is used for any purpose. We measured equivalent black carbon (eBC) with an aethalometer (model AE33, Magee Scientific) at a time resolution of one second during the Antarctic Circumnavigation Expedition (ACE). We report five-minute averaged data, cleaned from exhaust gas influence. Temporal coverage is from December 20, 2016 to April 10, 2017. The mass concentration of eBC, reported in ng m<sup>-3</sup>, reflects how far fossil fuel combustion or biomass burning contribute to the aerosol population over the Southern Ocean and between South Africa and Europe. Over the Southern Ocean there are no sources of eBC, except for ship emissions and (sub-)Antarctic station emissions, and hence an enhancement of eBC points towards long-range influence from Africa, Australia, New Zealand and South America. When plotted against latitude, eBC concentrations drop south of 60°S, indicating a more pristine environment. Elevated concentration around the equator are likely influenced by biomass burning in tropical Africa. <strong>Dataset contents</strong> ACESPACE_equivalent_black_carbon_aerosol.csv, data file, comma-separated values data_file_header.txt, metadata, text README.md, metadata, text The data file listed above contains five-minute averaged values of equivalent black carbon (eBC) measured during the Antarctic Circumnavigation Expedition. Timestamps are the end of the five-minute period over which the eBC values were averaged. Latitude and longitude are average values of the position of the measurement during the five-minute interval. NaN values of eBC denote missing values because of e.g., ship exhaust contamination, maintenance, instrument failure or signal noise levels exceeding 200 ng/m<sup>3</sup>. For latitude and longitude, NaN values are noted in cases where position data was not available for the given time period. <strong>Dataset license</strong> This equivalent black carbon 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. We acknowledge the Swiss National Sciences Foundation grant no. 200021_169090 and the German Research Foundation (DFG) within SSP 1158 (Grant no. STR 453/12-1).
description: {"references": ["AETHALOMETERloader (2013). Paul Scherrer Institute, Switzerland", "Schmale et al. (2017) Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition. Scientific Data volume 4, Article number: 170003. 10.1038/sdata.2017.3", "Igor Pro. Version 6.37. WaveMetrics, Inc., Oregon, USA. https://www.wavemetrics.com/downloads/current/Igor%20Pro%206.3"]}
DOI: 10.5281/zenodo.3900128
title: Symptoms in health care workers during the COVID-19 epidemic. A cross-sectional survey.

description: data collected during the COVID-19 epidemics on workers of the Health Care Unit Roma4, Civitavecchia. Paper submitted.
DOI: 10.5281/zenodo.3900127
title: Symptoms in health care workers during the COVID-19 epidemic. A cross-sectional survey.

description: data collected during the COVID-19 epidemics on workers of the Health Care Unit Roma4, Civitavecchia. Paper submitted.
DOI: 10.5281/zenodo.2636690
title: Aerosol particle number concentration measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.

description: <strong>Dataset abstract</strong> The authors would highly appreciate to be contacted if the data is used for any purpose. We measured aerosol particle number concentration with a condensation particle counter CPC model TSI 3022 at a time resolution of 10 seconds during the Antarctic Circumnavigation Expedition (ACE). We report five-minute averaged data cleaned from exhaust gas influence. The lower cut-off of the CPC is 7 nm. Temporal coverage of the dataset is from December 20, 2016 to April 10, 2017. The total particle number concentration reflects aerosol particles from a variety of sources and processes. The concentrations include for example sea spray aerosol, long-range transported particles, newly formed particles and others. The variability in the concentration reflects processes such as wet removal through precipitation, new particle formation or sea spray formation. <strong>Dataset contents</strong> ACESPACE_aerosol_particle_concentration.csv, data file, comma-separated values data_file_header.txt, metadata, text README.md, metadata, text NaN values of aerosol particle number concentration denote missing values because of e.g., ship exhaust contamination, maintenance, instrument failure. For latitude and longitude, NaN values are noted in cases where position data was not available for the given time period. <strong>Dataset license</strong> This aerosol particle number concentration 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. We acknowledge the Swiss National Sciences Foundation grant no. 200021_169090 and the German Research Foundation (DFG) within SSP 1158 (Grant no. STR 453/12-1).
description: {"references": ["Schmale et al. (2017) Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition. Scientific Data volume 4, Article number: 170003. 10.1038/sdata.2017.3", "LabView. Gysel-Beer, M., Paul Scherrer Institute, Switzerland. http://aerosolsoftware.web.psi.ch/", "Igor Pro. Version 6.37. WaveMetrics, Inc., Oregon, USA. https://www.wavemetrics.com/downloads/current/Igor%20Pro%206.3"]}
DOI: 10.5281/zenodo.2621103
title: Biogenic silicate concentration in sea water samples, collected from the CTD in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.

description: <strong>Dataset abstract</strong> Biogenic Silicate (Bsi) concentration (µmol/L) in seawater data. Water samples were collected from CTD rosette deployments, filtered on board and then analysed by flow injection following appropriate digestion. This data supports chemical and biological oceanography studies conducted during the Antarctic Circumnavigation Expedition. <strong>Dataset contents</strong> ace_biogenic_silicate_concentration_in_seawater_ctd.csv, data file, comma-separated values ace_biogenic_silicate_concentration_in_seawater_ctd_visual_summary.png, metadata, portable network graphics data_file_header.txt, metadata, text format README.md, metadata, text format All missing values where no data point exists from lack of sample, have been set to NaN. <strong>Dataset license</strong> This biogenic silica concentration 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. This work was also supported by École Polytecnique Fédérale de Lausanne (EPFL). Data usage: When data from up to 4 stations are used, please acknowledge Christel Hassler, Michael Ellwood, Tina Brenneis and the Alfred Wegener Institute were the analysis have been performed. For more than 4 stations, please add co-authorship to Christel hassler and Michael Ellwood and acknowledge Tina Brenneis from the Alfred Wegener Institute for analysis.
description: {"references": ["Ocean Data View (ver. 4.5). Schlitzer,R.(2012). OceanData View (version4.5)"]}
DOI: 10.5281/zenodo.2636689
title: Aerosol particle number concentration measured over the Southern Ocean in the austral summer of 2016/2017, during the Antarctic Circumnavigation Expedition.

description: <strong>Dataset abstract</strong> The authors would highly appreciate to be contacted if the data is used for any purpose. We measured aerosol particle number concentration with a condensation particle counter CPC model TSI 3022 at a time resolution of 10 seconds during the Antarctic Circumnavigation Expedition (ACE). We report five-minute averaged data cleaned from exhaust gas influence. The lower cut-off of the CPC is 7 nm. Temporal coverage of the dataset is from December 20, 2016 to April 10, 2017. The total particle number concentration reflects aerosol particles from a variety of sources and processes. The concentrations include for example sea spray aerosol, long-range transported particles, newly formed particles and others. The variability in the concentration reflects processes such as wet removal through precipitation, new particle formation or sea spray formation. <strong>Dataset contents</strong> ACESPACE_aerosol_particle_concentration.csv, data file, comma-separated values data_file_header.txt, metadata, text README.md, metadata, text NaN values of aerosol particle number concentration denote missing values because of e.g., ship exhaust contamination, maintenance, instrument failure. For latitude and longitude, NaN values are noted in cases where position data was not available for the given time period. <strong>Dataset license</strong> This aerosol particle number concentration 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. We acknowledge the Swiss National Sciences Foundation grant no. 200021_169090 and the German Research Foundation (DFG) within SSP 1158 (Grant no. STR 453/12-1).
description: {"references": ["Schmale et al. (2017) Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition. Scientific Data volume 4, Article number: 170003. 10.1038/sdata.2017.3", "LabView. Gysel-Beer, M., Paul Scherrer Institute, Switzerland. http://aerosolsoftware.web.psi.ch/", "Igor Pro. Version 6.37. WaveMetrics, Inc., Oregon, USA. https://www.wavemetrics.com/downloads/current/Igor%20Pro%206.3"]}
DOI: 10.5281/zenodo.2621102
title: Biogenic silicate concentration in sea water samples, collected from the CTD in the Southern Ocean during the austral summer of 2016/2017, on board the Antarctic Circumnavigation Expedition.

description: <strong>Dataset abstract</strong> Biogenic Silicate (Bsi) concentration (µmol/L) in seawater data. Water samples were collected from CTD rosette deployments, filtered on board and then analysed by flow injection following appropriate digestion. This data supports chemical and biological oceanography studies conducted during the Antarctic Circumnavigation Expedition. <strong>Dataset contents</strong> ace_biogenic_silicate_concentration_in_seawater_ctd.csv, data file, comma-separated values ace_biogenic_silicate_concentration_in_seawater_ctd_visual_summary.png, metadata, portable network graphics data_file_header.txt, metadata, text format README.md, metadata, text format All missing values where no data point exists from lack of sample, have been set to NaN. <strong>Dataset license</strong> This biogenic silica concentration 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. This work was also supported by École Polytecnique Fédérale de Lausanne (EPFL). Data usage: When data from up to 4 stations are used, please acknowledge Christel Hassler, Michael Ellwood, Tina Brenneis and the Alfred Wegener Institute were the analysis have been performed. For more than 4 stations, please add co-authorship to Christel hassler and Michael Ellwood and acknowledge Tina Brenneis from the Alfred Wegener Institute for analysis.
description: {"references": ["Ocean Data View (ver. 4.5). Schlitzer,R.(2012). OceanData View (version4.5)"]}
DOI: 10.13012/b2idb-2476863_v1
title: World Values Survey and World Bank Data for measuring perceptions of expertise in developing nations

description: This dataset include data pulled from the World Bank 2009, the World Values Survey wave 6, Transparency International from 2009. The data were used to measure perceptions of expertise from individuals in nations that are recipients of development aid as measured by the World Bank.
DOI: 10.5281/zenodo.3702307
title: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking

description: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking by the 2018 event workflow (https://github.com/qfo/benchmark-webservice/tree/elixir). It is used specifically by the old variant of the generalized species tree discordance benchmark and defines the multifurcating reference species tree with collapsed edges for some of the more debated splits.
DOI: 10.5281/zenodo.3702306
title: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking

description: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking by the 2018 event workflow (https://github.com/qfo/benchmark-webservice/tree/elixir). It is used specifically by the old variant of the generalized species tree discordance benchmark and defines the multifurcating reference species tree with collapsed edges for some of the more debated splits.
DOI: 10.21227/2jzx-qc47
title: Spoken Indian Language Identification

description: Spoken Indian Language Identifcation (9 languages, 8 different utterance lengths)
DOI: 10.17638/datacat.liverpool.ac.uk/1105
title: Data for "Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models"
DOI: 10.5281/zenodo.3361758
title: Automated Truck Lanes in Urban Area for Through and Cross Border Traffic

description: Autonomous trucks will soon be operational across our nation’s roadways. Yet, it is unclear how the design of our highway infrastructure should be modified to accommodate autonomous trucks, to enable them to operate in such a way to maximize the economic, capacity and safety benefits. The University of Texas at El Paso (UTEP) is proposing to develop and demonstrate, through microscopic traffic simulations, the concept of operations of autonomous truck lanes along the interstate freeways. Using the I-10 Freeway in the El Paso, TX region as the testbed, the research team will: (i) assess the existing structural, geometric and traffic designs in handling fully automated trucks, including the entrances, exits, and connectors; (ii) perform microscopic traffic simulations at critical locations to demonstrate design issues and the recommended design improvements; (iii) conduct a preliminary cost estimation on such infrastructure improvements.
DOI: 10.5281/zenodo.3361757
title: Automated Truck Lanes in Urban Area for Through and Cross Border Traffic

description: Autonomous trucks will soon be operational across our nation’s roadways. Yet, it is unclear how the design of our highway infrastructure should be modified to accommodate autonomous trucks, to enable them to operate in such a way to maximize the economic, capacity and safety benefits. The University of Texas at El Paso (UTEP) is proposing to develop and demonstrate, through microscopic traffic simulations, the concept of operations of autonomous truck lanes along the interstate freeways. Using the I-10 Freeway in the El Paso, TX region as the testbed, the research team will: (i) assess the existing structural, geometric and traffic designs in handling fully automated trucks, including the entrances, exits, and connectors; (ii) perform microscopic traffic simulations at critical locations to demonstrate design issues and the recommended design improvements; (iii) conduct a preliminary cost estimation on such infrastructure improvements.
DOI: 10.5255/ukda-sn-854173
title: Accessibility plans as effective tools for inclusion in schools: Are they working? 2018-2019
DOI: 10.21227/fq81-pe24
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Coronavirus (COVID-19) Tweets Dataset(200+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.Update: I have received a lot of requests, especially from Social Science researchers, to also make the geo-tagged tweets created between March 20, 2020, and April 28, 2020, available in this dataset. Hydrating the millions of tweet IDs may come as a tedious task for people with less technical expertise. Therefore, I have started hydrating the IDs provided in the Coronavirus (COVID-19) Tweets Dataset, and I will be sharing the geo-tagged tweets posted in between these dates as the hydration task goes on. Bookmark this page for further updates.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.7925/drs1.ucdlib_264001
title: Michael Coady reads his poem 'Adagio Cantabile'

description: Poet Michael Coady reads his poem 'Adagio Cantabile' in UCD Library's Special Collections.
description: Credits: Ursula Byrne ; Evelyn Flanagan ; Brian Kelly ; Eugene Roche.
DOI: 10.7925/drs1.ucdlib_264002
title: Michael Coady reads his poem 'Assembling the Parts'

description: Poet Michael Coady reads his poem 'Assembling the Parts' in UCD Library's Special Collections.
description: Credits: Ursula Byrne ; Evelyn Flanagan ; Brian Kelly ; Eugene Roche.
DOI: 10.7925/drs1.ucdlib_264003
title: Michael Coady reads his poem 'Benediction on the Sixteenth Day of May'

description: Poet Michael Coady reads his poem 'Benediction on the Sixteenth Day of May' in UCD Library's Special Collections.
description: Credits: Ursula Byrne ; Evelyn Flanagan ; Brian Kelly ; Eugene Roche.
DOI: 10.7925/drs1.duchas_4923187
title: Customs of St Stephen's Day

description: Story collected by Peter Flaherty, a student at Corraslira school (Corraslira, Co. Roscommon) from informant John Kelly.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Bean Uí Dhubhláin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4931827
title: Parish of Killimer

description: Story collected by a student at Burrane, Inis school (Burrane Upper, Co. Clare) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mícheál Ó Tuama.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4923191
title: Game of Cards

description: Story collected by Martin M. Peyton, a student at St John's Monastery, Ballaghderreen school (Ballaghaderreen, Co. Roscommon) from informant John Peyton.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher An Br. P. Ó Ceallaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4645185
title: St Brigid

description: Story collected by Tessie Mc Loughlin, a student at Kilmore school (Kilmore, Co. Leitrim) from informant Francis Mc Loughlin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Eilís, Bean Uí Cheallaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4645187
title: Bread

description: Story collected by Lizzie Ann O' Rourke, a student at Cill Fhearga school (Killarga, Co. Leitrim) from informant Mrs E. Carty.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mícheál Ó Gallchobhair.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4923194
title: Cave in the Mound

description: Story collected by Liam Spellman, a student at St John's Monastery, Ballaghderreen school (Ballaghaderreen, Co. Roscommon) from informant Mrs Spellman.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher An Br. P. Ó Ceallaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4931831
title: Principal Teachers of Burrane National School

description: Story collected by a student at Burrane, Inis school (Burrane Upper, Co. Clare) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mícheál Ó Tuama.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.