cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7193267
title: Pore network modeling as a new tool for determining gas diffusivity in peat

description: The data and scripts are related to the manuscript “Pore network modeling as a new tool for determining gas diffusivity in peat” by Petri Kiuru, Marjo Palviainen, Arianna Marchionne, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, and Annamari (Ari) Laurén submitted to Biogeosciences. The folder structure is similar to the one in the package “Peat macropore networks – new insights into episodic and hotspot methane emission” https://doi.org/10.5281/zenodo.6327112, and the remaining required data files can be found there.
DOI: 10.25598/zfhe-etdahet-tables
title: Exploring the transition to the digital age in higher education teaching - Appendix
DOI: 10.5281/zenodo.7197352
title: Test test

description: This is a test for uploading files to Zenodo.
DOI: 10.5281/zenodo.7197351
title: Test test

description: This is a test for uploading files to Zenodo.
DOI: 10.6084/m9.figshare.21329421
title: Analysis of the Quantitative Impact of Social Networks General Data.doc

description: General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed. Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes: Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures
DOI: 10.5255/ukda-sn-855974
title: Assessing Academic Oral Presentations in English Medium Education: Navigating Linguistic and Social Justice Implications of Decision Making, 2021-2022

description: Delivery of content is reported by many HE practitioners to be fundamental to successful performance in an assessed oral presentation task on their respective modules on degree programmes (Palmour, 2020). Conducting rich qualitative case studies on degree programmes is crucial to establishing the nature of oracy expectations and demands placed on students from diverse linguacultural backgrounds. This study addresses this neglected area of scholarship, by investigating AOP practices on degree modules at UK universities with a particular focus on how judgements are made on learning through oracy, with the ultimate aim of interrogating and fostering ways to maximise fairness. The study involves 7 interviews at 7 sites and focused fieldwork at 2 sites (Knoblauch, 2005). A site is a degree module on a UK degree programme which uses an oral presentation as part of its assessment suite. The following research questions guided the study: 1. What oracy skills do teachers and students value in assessed AOPs on their degree module? 2. What is the relationship between disciplinary knowledge and oracy skills in the assessed AOPs? 3. In what ways might the approaches to assessment and development of oracy skills in AOPs promote or undermine fairness and justice? The findings show that in some contexts there is insufficient support for the oracy demands placed on students. Furthermore, even when oracy support is provided, aspects of delivery style (e.g. confidence, slide design and eye contact) are overvalued in ways which might disadvantage particular student groups. It is paramount that oracy support is provided in tertiary education and that HE stakeholders promote increasingly fair and just oracy expectations.
DOI: 10.5281/zenodo.7197339
title: Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks- dataset

description: Dataset associated with the paper "Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks"
DOI: 10.5281/zenodo.7197338
title: Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks- dataset

description: Dataset associated with the paper "Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks"
DOI: 10.6084/m9.figshare.7944338.v3
title: Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

description: <b>Objective:</b> To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs). <b>Materials and methods:</b> Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12 months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4 years using Lin's method. <b>Results:</b> The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (<i>n =</i> 1,340) and those with MB (<i>n =</i> 3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). These cost differences were $31,292, $35,658, $44,069, and $47,022 for patients with vs without MB after 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). <b>Limitations:</b> Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011. <b>Conclusions:</b> The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4 years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.
DOI: 10.6084/m9.figshare.7944338
title: Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

description: <b>Objective:</b> To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs). <b>Materials and methods:</b> Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12 months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4 years using Lin's method. <b>Results:</b> The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (<i>n =</i> 1,340) and those with MB (<i>n =</i> 3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). These cost differences were $31,292, $35,658, $44,069, and $47,022 for patients with vs without MB after 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). <b>Limitations:</b> Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011. <b>Conclusions:</b> The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4 years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.
DOI: 10.6084/m9.figshare.7944338.v2
title: Healthcare costs of stroke and major bleeding in patients with atrial fibrillation treated with non-vitamin K antagonist oral anticoagulants

description: <b>Objective:</b> To assess long-term healthcare costs related to ischemic stroke and systemic embolism (stroke/SE) and major bleeding (MB) events in patients with non-valvular atrial fibrillation (NVAF) treated with non-vitamin K antagonist oral anticoagulants (NOACs). <b>Materials and methods:</b> Optum’s Clinformatics Data Mart database from 1/2009–12/2016 was analyzed. Adult patients with ≥1 stroke/SE hospitalization (index date) were matched 1:1 to patients without stroke/SE (random index date), based on propensity scores. Patients with an MB event were matched to patients without MB. All patients had an NOAC dispensing overlapping index date, ≥12 months of eligibility pre-index date, and ≥1 NVAF diagnosis. The observation period spanned from the index date until the earliest date of death, switch to warfarin, end of insurance coverage, or end of data availability. Mean costs were evaluated: (1) per-patient-per-year (PPPY) and (2) at 1, 2, 3, and 4 years using Lin's method. <b>Results:</b> The cost differences were, respectively, $48,807 and $28,298 PPPY for NOAC users with stroke/SE (<i>n =</i> 1,340) and those with MB (<i>n =</i> 3,774) events compared to controls. Cost differences of patients with vs without stroke/SE were $49,876, $51,627, $57,822, and $60,691 at 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). These cost differences were $31,292, $35,658, $44,069, and $47,022 for patients with vs without MB after 1, 2, 3, and 4 years post-index, respectively (<i>p</i> &lt; 0.001). <b>Limitations:</b> Limitations include unobserved confounders, coding and/or billing inaccuracies, limited sample sizes over longer follow-up, and the under-reporting of mortality for deaths occurring after 2011. <b>Conclusions:</b> The incremental healthcare costs incurred by patients with vs without stroke/SE was nearly twice as high as those of patients with vs without MB. Moreover, each additional year up to 4 years after the first event was associated with an incremental cost for patients with a stroke/SE or MB event compared to those without an event.
DOI: 10.5281/zenodo.7015277
title: Supplemental information data from: "Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars"

description: This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.
DOI: 10.5281/zenodo.7015276
title: Supplemental information data from: "Evidence for amorphous sulfates as the main carrier of soil hydration in Gale crater, Mars"

description: This dataset includes the target name and chemical composition of each ChemCam sequence used in the above-mentioned article. The quantification for each ChemCam spectrum in the soils of the Bradbury, Rocknest and Yellowknife Bay area are in percentage mass fractions (wt.%) for most major oxides (i.e., SiO2, TiO2, Al2O3, FeOT , MgO, CaO, Na2O, K2O). Sulfur and hydrogen abundances are expressed respectively in peak area (normalized) and ICA H scores.
DOI: 10.6084/m9.figshare.21332958
title: Authentic Leadership and Innovative Work Behavior through Organizational Culture: A Study in Indonesian State-Owned Enterprises

description: Authentic Leadership and Innovative Work Behavior through Organizational Culture: A Study in Indonesian State-Owned Enterprises
DOI: 10.6084/m9.figshare.21332958.v1
title: Authentic Leadership and Innovative Work Behavior through Organizational Culture: A Study in Indonesian State-Owned Enterprises

description: Authentic Leadership and Innovative Work Behavior through Organizational Culture: A Study in Indonesian State-Owned Enterprises
DOI: 10.5281/zenodo.7194567
title: STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale (validation data)

description: Raw and refined data for the validation tests performed in the paper "STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale":<br> - rallpack 1, analytical, STEPS3, STEPS4, mesh scaling with STEPS4. It is so simple that I provide only the raw data. The space saving using refined data is minimal - rallpack 3, STEPS 3, STEPS 4. Both raw and refined data are provided. - caburst, STEPS 3, STEPS 4. Both raw and refined data are provided.
description: Research reported in this publication was supported by the Okinawa Institute of Science and Technology Graduate University (OIST) and funding to the Blue Brain Project, a research center of the École poly- technique fédérale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology and the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
DOI: 10.5281/zenodo.7194566
title: STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale (validation data)

description: Raw and refined data for the validation tests performed in the paper "STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale":<br> - rallpack 1, analytical, STEPS3, STEPS4, mesh scaling with STEPS4. It is so simple that I provide only the raw data. The space saving using refined data is minimal - rallpack 3, STEPS 3, STEPS 4. Both raw and refined data are provided. - caburst, STEPS 3, STEPS 4. Both raw and refined data are provided.
description: Research reported in this publication was supported by the Okinawa Institute of Science and Technology Graduate University (OIST) and funding to the Blue Brain Project, a research center of the École poly- technique fédérale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology and the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
DOI: 10.5281/zenodo.5653174
title: Data set 2009

description: Data set of morbidity items from Canary Health Survey, 2009
DOI: 10.5281/zenodo.5653175
title: Data set 2009

description: Data set of morbidity items from Canary Health Survey, 2009
DOI: 10.5281/zenodo.5653155
title: Data set 2004

description: Data set of morbidity items form Canary Health Survey, 2004
DOI: 10.5281/zenodo.5653156
title: Data set 2004

description: Data set of morbidity items form Canary Health Survey, 2004
DOI: 10.5281/zenodo.5653079
title: Data set 1997

description: Data set of morbidity items from Canary Health Survey, 1997
DOI: 10.5281/zenodo.5653080
title: Data set 1997

description: Data set of morbidity items from Canary Health Survey, 1997
DOI: 10.5281/zenodo.5939985
title: Supplementary BAM spreadsheet

description: National accounting matrices (NAM) perfectly describe the economic structure of a national economy, summarizing the whole process of generation of primary income and its distribution among the different institutional sectors of the economy. It is not just a way to represent the main economic statistics of an economy, but it also serves as the basis for most macroeconomic modelling efforts. The business accounting matrix (BAM) presents the most relevant information for the firm in a similar way, adapted to the descriptive potential of financial accounting, what we believe can be useful both for economic modellers and for decision makers at the firm level. This spreadsheet helps to trace how each of the cells of the BAM are calculated. It includes a table in which the cells of the BAM incorporate a description of their content. It also contains the example of a complete BAM (SBAM) that can be used the simulation of changes in demand and other input-output related models. This material allows researchers having the financial accounts of a firm available, to immediately calculate a BAM. They can also easily adapt our proposal to their convenience.
DOI: 10.5281/zenodo.5939986
title: Supplementary BAM spreadsheet

description: National accounting matrices (NAM) perfectly describe the economic structure of a national economy, summarizing the whole process of generation of primary income and its distribution among the different institutional sectors of the economy. It is not just a way to represent the main economic statistics of an economy, but it also serves as the basis for most macroeconomic modelling efforts. The business accounting matrix (BAM) presents the most relevant information for the firm in a similar way, adapted to the descriptive potential of financial accounting, what we believe can be useful both for economic modellers and for decision makers at the firm level. This spreadsheet helps to trace how each of the cells of the BAM are calculated. It includes a table in which the cells of the BAM incorporate a description of their content. It also contains the example of a complete BAM (SBAM) that can be used the simulation of changes in demand and other input-output related models. This material allows researchers having the financial accounts of a firm available, to immediately calculate a BAM. They can also easily adapt our proposal to their convenience.
DOI: 10.6084/m9.figshare.21333060
title: Evolution of predator-prey interactions during range expansion in an aquatic insect predator

description: Raw data of the laboratory experiments used for statistical analyses and modelling in the manuscript <em>Evolution of predator-prey interactions during range expansion in an aquatic insect predator.</em>
DOI: 10.6084/m9.figshare.21333060.v1
title: Evolution of predator-prey interactions during range expansion in an aquatic insect predator

description: Raw data of the laboratory experiments used for statistical analyses and modelling in the manuscript <em>Evolution of predator-prey interactions during range expansion in an aquatic insect predator.</em>
DOI: 10.14469/hpc/10882
title: 4,5-dichloro-9,10-dihydrophenanthrene-2,3,6,7-tetraol, 1b, 1H

description: Raw spectrometer data and derived files, compound 1b
DOI: 10.14469/hpc/10900
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-chloro-6-methoxyphenol), 3b, 1H

description: NMR Data
DOI: 10.14469/hpc/10916
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-allyl-6-methoxyphenol), 3d, 13C

description: NMR Data
DOI: 10.14469/hpc/10920
title: 4,4'-(ethane-1,2-diyl)bis(2-chloro-6-methoxyphenol), 4b, 1H

description: NMR data
DOI: 10.14469/hpc/10895
title: 4,5-difluoro-9,10-dihydrophenanthrene-2,3,6,7-tetraol, 1c, 1H

description: NMR data.
DOI: 10.14469/hpc/10901
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-chloro-6-methoxyphenol), 3b, 13C

description: NMR Data
DOI: 10.14469/hpc/10921
title: 4,4'-(ethane-1,2-diyl)bis(2-chloro-6-methoxyphenol), 4b, 13C

description: NMR data
DOI: 10.14469/hpc/10937
title: 1,2-bis(3-fluoro-4,5-dimethoxyphenyl)ethane, 5c, 13C

description: NMR Data
DOI: 10.14469/hpc/10944
title: 2,3,6,7-tetramethoxy-4,5-dipropyl-9,10-dihydrophenanthrene, 6d, 1H

description: NMR data
DOI: 10.14469/hpc/10896
title: 4,5-dipropyl-9,10-dihydrophenanthrene-2,3,6,7-tetraol, 1d, 13C

description: NMR Data
DOI: 10.14469/hpc/10926
title: 4,4'-(ethane-1,2-diyl)bis(2-methoxy-6-propylphenol), 4d, 13C

description: NMR Data
DOI: 10.14469/hpc/10938
title: 1,2-bis(3,4-dimethoxy-5-propylphenyl)ethane, 5d, 13C

description: NMR Data
DOI: 10.14469/hpc/10945
title: 2,3,6,7-tetramethoxy-4,5-dipropyl-9,10-dihydrophenanthrene, 6d, 13C

description: NMR data
DOI: 10.14469/hpc/10914
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-fluoro-6-methoxyphenol), 3c, 13C

description: NMR Data
DOI: 10.14469/hpc/10922
title: 4,4'-(ethane-1,2-diyl)bis(2-fluoro-6-methoxyphenol), 4c, 13C

description: NMR Data
DOI: 10.14469/hpc/10927
title: 4,4'-(ethane-1,2-diyl)bis(2-methoxy-6-propylphenol), 4d, 1H

description: NMR Data
DOI: 10.14469/hpc/10939
title: 1,2-bis(3,4-dimethoxy-5-propylphenyl)ethane, 5d, 1H

description: NMR Data
DOI: 10.14469/hpc/10897
title: 4,5-dipropyl-9,10-dihydrophenanthrene-2,3,6,7-tetraol, 1d, 1H

description: NMR Data
DOI: 10.14469/hpc/10913
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-fluoro-6-methoxyphenol), 3c, 1H

description: NMR data
DOI: 10.14469/hpc/10917
title: 4,5-difluoro-2,3,6,7-tetramethoxyphenanthrene, 7c, 1H

description: NMRE data
DOI: 10.14469/hpc/10934
title: 1,2-bis(3-chloro-4,5-dimethoxyphenyl)ethane, 5b, 1H

description: NMR Data
DOI: 10.14469/hpc/10898
title: (E)-4,4'-(ethene-1,2-diyl)bis(2-bromo-6-methoxyphenol), 3a, 1H

description: NMR Data
DOI: 10.14469/hpc/10918
title: 4,4'-(ethane-1,2-diyl)bis(2-bromo-6-methoxyphenol), 4a, 1H

description: NMR Data