cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7924/r4h41tp1v
title: Data from: Testing of Full Face Snorkel Masks (FFSMs) to Examine Recreational Snorkeler Deaths

description: <strong>*Data will be embargoed until publication of related article, or up to no more than 1 year from data upload.*</strong>

A recent rise in snorkeling-related deaths in Hawaii has inspired several bans on full face snorkel masks (FFSMs). However, while there are theories to explain the deaths, little physiological data exists about the way the FFSMs provide gas to an exercising subject. To evaluate the safety of the FFSM concept, this study was designed to test how use of a full face snorkel mask (FFSM) may be physiologically different than use of a conventional snorkel, and to assess if any of those differences could lead to increased risk for the snorkeler. Ten volunteer human subjects were tested using a variety of commercially available FFSMs, with real-time monitoring of blood oxygen saturation (SpO2), inspired airway pressure, and inspired and expired levels of carbon dioxide and oxygen. Two of the three FFSM design types were shown not to function as advertised, but none of the masks provided physiologically problematic gas supplies to the snorkelers. While this testing yielded no conclusive “smoking gun” to explain the snorkeler deaths, some of the mask models showed patterns of increasing breathing resistance with water intrusion because of a shared design characteristic, and this increased resistance could potentially create elevated levels of respiratory distress to snorkelers during real-world use.

The dataset provided herein are the data traces from the final minute of snorkeler use of each mask type. The final minute was selected because that was the time when the snorkelers had reached physiological equilibrium for their selected rate of exercise. The data traces include ECG voltage value, pressure level, nitrogen %, oxygen %, and carbon dioxide %,  aligned by time stamp. Each text file of raw data is accompanied with a PDF listing the experimental comments/major events, which can be aligned by time stamp.
DOI: 10.6084/m9.figshare.21493848.v1
title: The order information of different products

description: The order information of different products
DOI: 10.5281/zenodo.5495529
title: Spanish Legal Domain Corpora

description: <strong>Spanish Legal Domain Corpora</strong> A collection of corpora of Spanish legal domain. More legal domain resources: https://github.com/PlanTL-GOB-ES/lm-legal-es <strong>Citation</strong> <pre><code>@misc{gutierrezfandino2021legal, title={Spanish Legalese Language Model and Corpora}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2110.12201}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.5495528
title: Spanish Legal Domain Corpora

description: <strong>Spanish Legal Domain Corpora</strong> A collection of corpora of Spanish legal domain. More legal domain resources: https://github.com/PlanTL-GOB-ES/lm-legal-es <strong>Citation</strong> <pre><code>@misc{gutierrezfandino2021legal, title={Spanish Legalese Language Model and Corpora}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2110.12201}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.6084/m9.figshare.21493848
title: The order information of different products

description: The order information of different products
DOI: 10.6084/m9.figshare.21493848.v3
title: The order information of different products

description: The order information of different products
DOI: 10.6084/m9.figshare.21493848.v2
title: The order information of different products

description: The order information of different products
DOI: 10.6084/m9.figshare.21493824
title: The costs and production time of the CODP candidate locations of different products

description: Production time and cost of different CODP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493824.v3
title: The costs and production time of the CODP candidate locations of different products

description: Production time and cost of different CODP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493824.v2
title: The costs and production time of the CODP candidate locations of different products

description: Production time and cost of different CODP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493794
title: The costs and production time of the PDP candidate locations of different products

description: Production time and cost of different PDP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493794.v3
title: The costs and production time of the PDP candidate locations of different products

description: Production time and cost of different PDP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493794.v2
title: The costs and production time of the PDP candidate locations of different products

description: Production time and cost of different PDP candidate locations in delayed production
DOI: 10.6084/m9.figshare.21493707
title: The enterprise production and operation data and delayed production control data.xlsx

description: The production and operation data and delayed production control data of an iron and steel enterprise
DOI: 10.6084/m9.figshare.21493707.v2
title: The enterprise production and operation data and delayed production control data.xlsx

description: The production and operation data and delayed production control data of an iron and steel enterprise
DOI: 10.5281/zenodo.7081552
title: Use of health care services in community-dwelling older adults in two regions of Spain

description: This dataset contains data on use of health care resources of community-dwelling older adults aged 70 or over, who were functionally independent. Data of health resources use included contacts along two consecutive years with: the general practitioner, primary care nurse, the specialists, visits to emergency rooms, and hospital admissions and length of stay. The data included also information about sex, region, polipharmacy, age-adjusted Charlson Comorbidity Index and funcionality, measured by Timed Up and Go test. The data collection was performed in two Spanish regions. Baseline assessment was done between 2015 and 2016, and patients were followed for 2 years. There were in total 1488 registries considering both years.
description: The study has been supported by grants from the Carlos III Health Institute (contract numbers: PI14/01003 y PI14/01905) –co-financed by the European Regional Development Fund (contract numbers: RD06/0001/0000 and RD06/0001/1009); the Basque Department of Health (grant number 2016222043) and the Basque Department of Economy (grant number KK-2016/00106).
DOI: 10.5281/zenodo.7081551
title: Use of health care services in community-dwelling older adults in two regions of Spain

description: This dataset contains data on use of health care resources of community-dwelling older adults aged 70 or over, who were functionally independent. Data of health resources use included contacts along two consecutive years with: the general practitioner, primary care nurse, the specialists, visits to emergency rooms, and hospital admissions and length of stay. The data included also information about sex, region, polipharmacy, age-adjusted Charlson Comorbidity Index and funcionality, measured by Timed Up and Go test. The data collection was performed in two Spanish regions. Baseline assessment was done between 2015 and 2016, and patients were followed for 2 years. There were in total 1488 registries considering both years.
description: The study has been supported by grants from the Carlos III Health Institute (contract numbers: PI14/01003 y PI14/01905) –co-financed by the European Regional Development Fund (contract numbers: RD06/0001/0000 and RD06/0001/1009); the Basque Department of Health (grant number 2016222043) and the Basque Department of Economy (grant number KK-2016/00106).
DOI: 10.5281/zenodo.5046525
title: Spanish Skip-Gram Word Embeddings in FastText

description: These Spanish word embeddings in FastText have been generated from the largest corpus ever made in Spanish till date. The corpus has more than 2TB of high-quality text, compiled from the different web crawlings done by the National Library of Spain from 2009 to 2019. These are the SKIP-GRAM embeddings, for the CBOW embeddings see: https://zenodo.org/record/5044988 <strong>Citation</strong> <pre><code>@article{gutierrezfandino2022, author = {Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquin Silveira-Ocampo and Casimiro Pio Carrino and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Aitor Gonzalez-Agirre and Marta Villegas}, title = {MarIA: Spanish Language Models}, journal = {Procesamiento del Lenguaje Natural}, volume = {68}, number = {0}, year = {2022}, issn = {1989-7553}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6405}, pages = {39--60} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.5046524
title: Spanish Skip-Gram Word Embeddings in FastText

description: These Spanish word embeddings in FastText have been generated from the largest corpus ever made in Spanish till date. The corpus has more than 2TB of high-quality text, compiled from the different web crawlings done by the National Library of Spain from 2009 to 2019. These are the SKIP-GRAM embeddings, for the CBOW embeddings see: https://zenodo.org/record/5044988 <strong>Citation</strong> <pre><code>@article{gutierrezfandino2022, author = {Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquin Silveira-Ocampo and Casimiro Pio Carrino and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Aitor Gonzalez-Agirre and Marta Villegas}, title = {MarIA: Spanish Language Models}, journal = {Procesamiento del Lenguaje Natural}, volume = {68}, number = {0}, year = {2022}, issn = {1989-7553}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6405}, pages = {39--60} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.34740/kaggle/dsv/4323384
title: Fish Dataset
DOI: 10.6084/m9.figshare.21502401
title: Relative abundance of genes related to carbon, nitrogen, phosphorus and sulfur cycle .xlsx

description: Relative abundance of genes related to carbon, nitrogen, phosphorus and sulfur cycle
DOI: 10.5281/zenodo.5044988
title: Spanish CBOW Word Embeddings in FastText

description: These Spanish word embeddings in FastText have been generated from the largest corpus ever made in Spanish till date. The corpus has more than 2TB of high-quality text, compiled from the different web crawlings done by the National Library of Spain from 2009 to 2019. These are the CBOW embeddings, for the SKIP-GRAM embeddings see: https://zenodo.org/record/5046525 <strong>Citation</strong> <pre><code>@article{gutierrezfandino2022, author = {Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquin Silveira-Ocampo and Casimiro Pio Carrino and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Aitor Gonzalez-Agirre and Marta Villegas}, title = {MarIA: Spanish Language Models}, journal = {Procesamiento del Lenguaje Natural}, volume = {68}, number = {0}, year = {2022}, issn = {1989-7553}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6405}, pages = {39--60} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.5044987
title: Spanish CBOW Word Embeddings in FastText

description: These Spanish word embeddings in FastText have been generated from the largest corpus ever made in Spanish till date. The corpus has more than 2TB of high-quality text, compiled from the different web crawlings done by the National Library of Spain from 2009 to 2019. These are the CBOW embeddings, for the SKIP-GRAM embeddings see: https://zenodo.org/record/5046525 <strong>Citation</strong> <pre><code>@article{gutierrezfandino2022, author = {Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquin Silveira-Ocampo and Casimiro Pio Carrino and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Aitor Gonzalez-Agirre and Marta Villegas}, title = {MarIA: Spanish Language Models}, journal = {Procesamiento del Lenguaje Natural}, volume = {68}, number = {0}, year = {2022}, issn = {1989-7553}, url = {http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6405}, pages = {39--60} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.7290695
title: Coding sequences of S- and Z- locus genes

description: Coding sequences of <em>S</em>- and <em>Z</em>- locus genes identified within <em>Lolium</em> species
DOI: 10.5281/zenodo.7290694
title: Coding sequences of S- and Z- locus genes

description: Coding sequences of <em>S</em>- and <em>Z</em>- locus genes identified within <em>Lolium</em> species
DOI: 10.5281/zenodo.7229602
title: ACaseAgainstCoverageBasedProgramSpectra

description: Replication dataset for assert-slice spectrum based fault localization.
DOI: 10.5281/zenodo.7229601
title: ACaseAgainstCoverageBasedProgramSpectra

description: Replication dataset for assert-slice spectrum based fault localization.
DOI: 10.5281/zenodo.5036147
title: Spanish Legal Domain Word & Sub-Word Embeddings

description: <strong>Spanish Legal Word and Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus (9GB) ever made from Spanish Legal resources till the date. More legal domain resources: https://github.com/PlanTL-GOB-ES/lm-legal-es <strong>Citation</strong> <pre><code>@misc{gutierrezfandino2021legal, title={Spanish Legalese Language Model and Corpora}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2110.12201}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.5281/zenodo.5036146
title: Spanish Legal Domain Word & Sub-Word Embeddings

description: <strong>Spanish Legal Word and Sub-word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus (9GB) ever made from Spanish Legal resources till the date. More legal domain resources: https://github.com/PlanTL-GOB-ES/lm-legal-es <strong>Citation</strong> <pre><code>@misc{gutierrezfandino2021legal, title={Spanish Legalese Language Model and Corpora}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2110.12201}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> <strong>Copyright </strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan-TL).
DOI: 10.15129/a86bb8f7-b33b-4e1d-b459-f6a0396effcc
title: Data for: "The Enactment of Public Participation in Rulemaking: A Comparative Analysis"

description: These are the data for the replication of the statistical analysis in the article "The Enactment of Public Participation in Rulemaking: A Comparative Analysis". The dataset contains time-series (1995-2015) cross-sectional (39 OECD countries) observations, in csv format which was created for the purpose of explaining the adoption of legislations allowing public participation in and judicial review of rulemaking. The corresponding codebook lists the used variables and sources. The replication codes are for Stata.
DOI: 10.6084/m9.figshare.21377913
title: Data for "Distribution of atomic rearrangement vectors in a metallic glass"

description: Supporting information for the paper: Distribution of atomic rearrangement vectors in a metallic glass, by A. Annamareddy, B. Wang, P. M. Voyles, and D. Morgan, Submitted to the Journal of Applied Physics (2022). Please see README file here for more information.
DOI: 10.6084/m9.figshare.20468796
title: ContractsSourceCode

description: The source coide of 26,799 contracts actually deployed on the Ethereum platform,
DOI: 10.6084/m9.figshare.20468796.v1
title: ContractsSourceCode

description: A dataset of 26,799 contracts actually deployed on the Ethereum platform,
DOI: 10.5281/zenodo.7006921
title: FRACTESUS_UC_A533B LUS_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.5281/zenodo.7006922
title: FRACTESUS_UC_A533B LUS_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.5281/zenodo.7290820
title: FRACTESUS_UC_A533B LUS_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.5281/zenodo.7006915
title: FRACTESUS_UC_A533B LUS_T0_MCT_input

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.5281/zenodo.7006916
title: FRACTESUS_UC_A533B LUS_T0_MCT_input

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.5281/zenodo.7290895
title: FRACTESUS_UC_A533B LUS_T0_MCT_input

description: Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.
DOI: 10.18715/ipgp.2022.l3ylhaal/1
title: 2019_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/2
title: 2015_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/3
title: 2014_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/4
title: 2018_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/5
title: 2017_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/6
title: 2016_catalog_all.tab

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/7
title: 2016_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/8
title: 2014_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/9
title: 2017_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/10
title: 2018_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/11
title: 2019_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/12
title: 2015_catalog_all.shz

description: :unav
DOI: 10.18715/ipgp.2022.l3ylhaal/13
title: 2014-2019_validated_catalogs_QuakeML.zip

description: :unav
DOI: 10.5281/zenodo.7290980
title: Dataset for the paper "Boosting Charge Carrier Mobilities in Upgraded Metallurgical Grade Silicon by Phosphorous Diffusion Gettering"

description: Dataset related to the publication "Boosting Charge Carrier Mobilities in Upgraded Metallurgical Grade Silicon by Phosphorous Diffusion Gettering" in Advanced Energy and Sustainable Research 2022, 2200077 (https://doi.org/10.1002/aesr.202200077)
DOI: 10.48670/moi-00213
title: Black Sea Oxygen Trend from Observations Reprocessing
DOI: 10.5281/zenodo.7290979
title: Dataset for the paper "Boosting Charge Carrier Mobilities in Upgraded Metallurgical Grade Silicon by Phosphorous Diffusion Gettering"

description: Dataset related to the publication "Boosting Charge Carrier Mobilities in Upgraded Metallurgical Grade Silicon by Phosphorous Diffusion Gettering" in Advanced Energy and Sustainable Research 2022, 2200077 (https://doi.org/10.1002/aesr.202200077)
DOI: 10.5281/zenodo.7290894
title: Data Extraction Sheet for the Review

description: Approximately 30 variables will be extracted from the publications that are included in the review. This will include information on the: Study characteristics Publication (title, year of publication, author(s) and their affiliation, journal, type of document) Variables of interest Concepts that are used for health research on racialised minority groups and how they are operationalised Research methodology and methods used The data used, and how this is collected, and applied A full overview of the variables to be extracted can be found in this Data Extraction sheet.
DOI: 10.5281/zenodo.7290893
title: Data Extraction Sheet for the Review

description: Approximately 30 variables will be extracted from the publications that are included in the review. This will include information on the: Study characteristics Publication (title, year of publication, author(s) and their affiliation, journal, type of document) Variables of interest Concepts that are used for health research on racialised minority groups and how they are operationalised Research methodology and methods used The data used, and how this is collected, and applied A full overview of the variables to be extracted can be found in this Data Extraction sheet.
DOI: 10.6084/m9.figshare.21502551
title: congress-bills

description: This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. In this dataset, nodes are US Congresspersons and hyperedges are comprised of the sponsor and co-sponsors of legislative bills put forth in both the House of Representatives and the Senate. Timestamps are in ISO8601 format. The dataset was derived from James Fowler's data.<br> <br> <strong>Statistics</strong><br> Some basic statistics of this dataset are:<br> * number of nodes: 1,718<br> * number of timestamped hyperedges: 282,049<br> * there is a single connected component of size 1,718<br> * degree and edge size distributions:<br> <br> <br> <br> <br> <b>Hypergraph degree and edge size distributions</b><br> <br> <strong>Source of original data</strong><br> Source: https://www.cs.cornell.edu/~arb/data/congress-bills/<br> <br> <strong>References</strong><br> If you use this dataset, please cite these references:<br> * Simplicial closure and higher-order link prediction. Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.<br> * Connecting the Congress: A Study of Cosponsorship Networks. James H. Fowler. Political Analysis, 2006.<br> * Legislative Cosponsorship Networks in the U.S. House and Senate. James H. Fowler. Social Networks, 2006.
DOI: 10.48670/moi-00214
title: Black Sea Significant Wave Height extreme from Reanalysis
DOI: 10.48670/moi-00216
title: Black Sea Surface Temperature extreme from Reanalysis
DOI: 10.48670/moi-00217
title: Black Sea Surface Temperature time series and trend from Observations Reprocessing
DOI: 10.48670/moi-00218
title: Black Sea Surface Temperature cumulative trend map from Observations Reprocessing
DOI: 10.48670/moi-00220
title: Nino 3.4 Temporal Evolution of Vertical Profile of Temperature from Reanalysis
DOI: 10.48670/moi-00223
title: Global Ocean Yearly CO2 Sink from Multi-Observations Reprocessing
DOI: 10.48670/moi-00224
title: Global Ocean acidification - mean sea water pH time series and trend from Multi-Observations Reprocessing