cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5037744
title: UML class diagrams for layout quality checking

description: We offer a dataset of labelled UML class diagrams. In this dataset, we supply for every diagrams the following information: 1) a manually established ground truth of the quality of the layout, 2) a value for the layout-quality of the diagram as predicted by our classifier, and 3) the values of key features of the layout of the diagram. These features are extracted automatically via image processing. This dataset can be used for replication of our study and for others to build on and improve on our work.
description: We offer a dataset of labelled UML class diagrams. In this dataset, we supply for every diagrams the following information: 1) a manually established ground truth of the quality of the layout, 2) a value for the layout-quality of the diagram as predicted by our classifier, and 3) the values of key features of the layout of the diagram. These features are extracted automatically via image processing. This dataset can be used for replication of our study and for others to build on and improve on our work
DOI: 10.5281/zenodo.5076096
title: Dataset of the paper "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source"

description: This repository contains the dataset of the manuscript "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source" accepted in the Empirical Software Engineering Journal, edited by Springer
DOI: 10.5281/zenodo.5084640
title: Formal Methods in Railways: a Systematic Mapping Study - List of Primary Studies and Data Extraction

description: This Excel file includes the list of papers analyzed in the systematic mapping study titled "Formal Methods in Railways: a Systematic Mapping Study". The study has been submitted for publication, and its preprint is also included in this repository.
DOI: 10.5281/zenodo.5037743
title: UML class diagrams for layout quality checking

description: We offer a dataset of labelled UML class diagrams. In this dataset, we supply for every diagrams the following information: 1) a manually established ground truth of the quality of the layout, 2) a value for the layout-quality of the diagram as predicted by our classifier, and 3) the values of key features of the layout of the diagram. These features are extracted automatically via image processing. This dataset can be used for replication of our study and for others to build on and improve on our work.
description: We offer a dataset of labelled UML class diagrams. In this dataset, we supply for every diagrams the following information: 1) a manually established ground truth of the quality of the layout, 2) a value for the layout-quality of the diagram as predicted by our classifier, and 3) the values of key features of the layout of the diagram. These features are extracted automatically via image processing. This dataset can be used for replication of our study and for others to build on and improve on our work
DOI: 10.5281/zenodo.5076095
title: Dataset of the paper "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source"

description: This repository contains the dataset of the manuscript "Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source" accepted in the Empirical Software Engineering Journal, edited by Springer
DOI: 10.5281/zenodo.5084639
title: Formal Methods in Railways: a Systematic Mapping Study - List of Primary Studies and Data Extraction

description: This Excel file includes the list of papers analyzed in the systematic mapping study titled "Formal Methods in Railways: a Systematic Mapping Study". The study has been submitted for publication, and its preprint is also included in this repository.
DOI: 10.5281/zenodo.5171792
title: Code and data sets for "DeepLC can predict retention times for peptides that carry as-yet unseen modifications"

description: Code used to prepare the data sets, calibrate retention times, generate DeepLC models, make predictions, and generate the figures. See README.md for more information on how to use these files and reproduce the results reported in the manuscript titled "DeepLC can predict retention times for peptides that carry as-yet unseen modifications".
DOI: 10.5281/zenodo.3706874
title: Code and data sets for "DeepLC can predict retention times for peptides that carry as-yet unseen modifications"

description: Code used to prepare the data sets, calibrate retention times, generate DeepLC models, make predictions, and generate the figures. See README.md for more information on how to use these files and reproduce the results reported in the manuscript titled "DeepLC can predict retention times for peptides that carry as-yet unseen modifications".
DOI: 10.5281/zenodo.5171849
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.5281/zenodo.5171830
title: Cryoturbation leads to iron-organic carbon associations along a permafrost soil chronosequence in northern Alaska

description: In permafrost soils, substantial amounts of organic carbon (OC) are potentially protected from microbial degradation and transformation into greenhouse gases by association with reactive iron (Fe) minerals. As permafrost environments respond to climate change, increased drainage of thaw lakes in permafrost regions is predicted. Soils will subsequently develop on these drained thaw lakes, but the role of Fe-OC associations in future OC stabilization during this predicted soil development is unknown. To fill this knowledge gap, we have examined Fe-OC associations in organic, cryoturbated and mineral horizons along a 5500-year chronosequence of drained thaw lake basins in Utqiaġvik, Alaska. By applying chemical extractions, we found that ~17 % of the total OC content in cryoturbated horizons is associated with reactive Fe minerals, compared to ~10 % in organic or mineral horizons. As soil development advances, the total stocks of Fe-associated OC more than double within the first 50 years after thaw lake drainage, because of increased storage of Fe-associated OC in cryoturbated horizons (from 8 to 75 % of the total Fe-associated OC stock). Spatially-resolved nanoscale secondary ion mass spectrometry showed that OC is primarily associated with Fe(III) (oxyhydr)oxides which were identified by <sup>57</sup>Fe Mössbauer spectroscopy as ferrihydrite. High OC:Fe mass ratios (&gt;0.22) indicate that Fe-OC associations are formed via co-precipitation, chelation and aggregation. These results demonstrate that, given the proposed enhanced drainage of thaw lakes under climate change, OC is increasingly incorporated and stabilized by the association with reactive Fe minerals as a result of soil formation and increased cryoturbation.
DOI: 10.5281/zenodo.5171829
title: Cryoturbation leads to iron-organic carbon associations along a permafrost soil chronosequence in northern Alaska

description: In permafrost soils, substantial amounts of organic carbon (OC) are potentially protected from microbial degradation and transformation into greenhouse gases by association with reactive iron (Fe) minerals. As permafrost environments respond to climate change, increased drainage of thaw lakes in permafrost regions is predicted. Soils will subsequently develop on these drained thaw lakes, but the role of Fe-OC associations in future OC stabilization during this predicted soil development is unknown. To fill this knowledge gap, we have examined Fe-OC associations in organic, cryoturbated and mineral horizons along a 5500-year chronosequence of drained thaw lake basins in Utqiaġvik, Alaska. By applying chemical extractions, we found that ~17 % of the total OC content in cryoturbated horizons is associated with reactive Fe minerals, compared to ~10 % in organic or mineral horizons. As soil development advances, the total stocks of Fe-associated OC more than double within the first 50 years after thaw lake drainage, because of increased storage of Fe-associated OC in cryoturbated horizons (from 8 to 75 % of the total Fe-associated OC stock). Spatially-resolved nanoscale secondary ion mass spectrometry showed that OC is primarily associated with Fe(III) (oxyhydr)oxides which were identified by <sup>57</sup>Fe Mössbauer spectroscopy as ferrihydrite. High OC:Fe mass ratios (&gt;0.22) indicate that Fe-OC associations are formed via co-precipitation, chelation and aggregation. These results demonstrate that, given the proposed enhanced drainage of thaw lakes under climate change, OC is increasingly incorporated and stabilized by the association with reactive Fe minerals as a result of soil formation and increased cryoturbation.
DOI: 10.6084/m9.figshare.14260430.v4
title: Norfish 17 Iceland Cod Landings 1520–1871

description: The Icelandic Fisheries were highly productive and drew attention from both domestic and various foreign markets. While the gear deployed and the methods used for fishing did not vary significantly during the early modern period, there were several influences on the industry that impacted either negatively or positively. For instance, human intervention in the standard fishing practices, such as acts of war, market pressures, etc. led to variability in the total catches that were made on an annual basis. Natural influences were an issue as well; fish migration and stock levels, weather/climate conditions, etc. played their part in the types of inconsistencies that pervaded the era.
DOI: 10.6084/m9.figshare.13614452.v11
title: Extractions of North Atlantic cod and herring, 1520-1790

description: We estimate total landings of two major commercial fish species, North Atlantic cod and Northeast Atlantic herring, c 1520-1790. The fisheries evolved through two phases of Accelerated Marine Extraction in the sixteenth and eighteenth centuries. Total landings more than doubled between 1520 and 1620 from about 220,000 metric tonnes to 460,000 MT. A decline of landings in the second half of the 17th century was likely linked to widespread warfare and climate deterioration. Rapid and sustained growth began again around 1725, and total supplies to the European market peaked in 1788 at more than 1 million MT before the unrest connected with the French Revolution ground many fisheries to a temporary halt. Extractions vastly exceeded previous assessments. The findings shift baseline assumptions about past human impact on marine animals, especially cod.<br><br>
DOI: 10.6084/m9.figshare.15133944
title: lauren jones social media project.xlsx

description: TAGS v.6.1.9.1 social media poster project
DOI: 10.6084/m9.figshare.15133944.v1
title: lauren jones social media project.xlsx

description: TAGS v.6.1.9.1 social media poster project
DOI: 10.5281/zenodo.5171838
title: Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis (Dataset)

description: Raw data used for statistical analysis of our paper "Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis".
DOI: 10.5281/zenodo.5171837
title: Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis (Dataset)

description: Raw data used for statistical analysis of our paper "Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis".
DOI: 10.6084/m9.figshare.15134265
title: DATA_18.04.2020_ver 102 v6.xls

description: Educational reforms in Vietnam
DOI: 10.6084/m9.figshare.15134265.v2
title: DATA_18.04.2020_ver 102 v6.xls

description: Educational reforms in Vietnam
DOI: 10.6084/m9.figshare.15134265.v1
title: DATA_18.04.2020_ver 102 v6.xls

description: Educational reforms in Vietnam
DOI: 10.6084/m9.figshare.15131364
title: data_section_2 .mat

description: All the plots in Section "Shadowing Mechanism" can be reproduced with these data.
DOI: 10.6084/m9.figshare.15131364.v1
title: data_section_2 .mat

description: All the plots in Section "Shadowing Mechanism" can be reproduced with these data.
DOI: 10.14278/rodare.1105
title: Supplementary material: Ph.D. dissertation of Lucas Pereira, TU Bergakademie Freiberg, 2021.

description: This supplementary material supports the Ph.D. dissertation of Lucas Pereira, submitted to the Faculty 3 of the TU Bergakademie Freiberg. C2.SM1.Percentiles.xlsx: Mentioned in the chapter 2 of the dissertation, this file contains, in terms of percentiles, the distribution of every particle descriptive variable in the different samples used to train the logistic regression models of the case study presented in this chapter. C2.SM2.Coefficients.xlsx: Mentioned in the chapter 2 of the dissertation, this file contains the complete list of coefficients assigned to each variable, in each separation unit, of the case study presented in this chapter. C4.SM1.StatWeight.xlsx: Mentioned in the chapter 4 of the dissertation, this file contains a detailed explanation of the statistical weights of particles and how they can be used to integrate a set of particle datasets from different streams and size fractions into a single and balanced training dataset.
description: {"references": ["Pereira, L., Frenzel, M., Khodadadzadeh, M., Tolosana-Delgado, R., Gutzmer, J., 2021. A self-adaptive particle-tracking method for minerals processing. Journal of Cleaner Production vol. 279. doi: 10.1016/j.jclepro.2020.123711", "Pereira, L., Frenzel, M., Hoang, D.H., Tolosana-Delgado, R., Rudolph, M., Gutzmer, J., 2021. Computing single-particle flotation kinetics using automated mineralogy data and machine learning. Minerals Engineering vol. 170. doi: 10.1016/j.mineng.2021.107054"]}
DOI: 10.14278/rodare.1104
title: Supplementary material: Ph.D. dissertation of Lucas Pereira, TU Bergakademie Freiberg, 2021.

description: This supplementary material supports the Ph.D. dissertation of Lucas Pereira, submitted to the Faculty 3 of the TU Bergakademie Freiberg. C2.SM1.Percentiles.xlsx: Mentioned in the chapter 2 of the dissertation, this file contains, in terms of percentiles, the distribution of every particle descriptive variable in the different samples used to train the logistic regression models of the case study presented in this chapter. C2.SM2.Coefficients.xlsx: Mentioned in the chapter 2 of the dissertation, this file contains the complete list of coefficients assigned to each variable, in each separation unit, of the case study presented in this chapter. C4.SM1.StatWeight.xlsx: Mentioned in the chapter 4 of the dissertation, this file contains a detailed explanation of the statistical weights of particles and how they can be used to integrate a set of particle datasets from different streams and size fractions into a single and balanced training dataset.
description: {"references": ["Pereira, L., Frenzel, M., Khodadadzadeh, M., Tolosana-Delgado, R., Gutzmer, J., 2021. A self-adaptive particle-tracking method for minerals processing. Journal of Cleaner Production vol. 279. doi: 10.1016/j.jclepro.2020.123711", "Pereira, L., Frenzel, M., Hoang, D.H., Tolosana-Delgado, R., Rudolph, M., Gutzmer, J., 2021. Computing single-particle flotation kinetics using automated mineralogy data and machine learning. Minerals Engineering vol. 170. doi: 10.1016/j.mineng.2021.107054"]}
DOI: 10.5445/ir/1000136010
title: Data sets for the research article "Heterogeneous ice nucleation ability of aerosol particles generated from Arctic sea surface microlayer and surface seawater samples at cirrus temperatures" by Wagner et al. (2021) in Atmospheric Chemistry and Physics
DOI: 10.5281/zenodo.5167558
title: EUENGAGE Dataset 2016-2018

description: The EUENGAGE Dataset collects data from the EUENGAGE Project, which ran from 2015 to 2018. For more information on the EUENGAGE Project, please visit the dedicated website: www.euengage.eu It includes data from: The EUENGAGE Mass and Businesspeople panel surveys, which were conducted in ten Member States of the European Union: Czech Republic, France, Germany, Greece, Italy, Netherlands, Poland, Portugal, Spain, and United Kingdom in 2016 and 2017. The EUENGAGE elite surveys, which were conducted in the same ten Member States in 2016 and 2017. The Pre- and Post- Deliberation surveys, which were conducted in October 2016, respectively before and after the online deliberation named “E-Voice”. The EUENGAGE Dataset also includes Chapel Hill Expert Survey (CHES) data for party positioning. Values for each variable of CHES datasets have been matched to survey respondents’ voting intentions, party identifications (mass and B2B), or party of election (politicians).<br> For instance, for a respondent expressing the intention to vote for party XY (variable QG2_T1) in wave 1 (T1), there will be a set of CHES variables from CHES 2014 with values corresponding to the positioning of party XY on all the issues included in CHES 2014. Likewise, party preferences expressed in wave 2 (T4) will correspond to the values of party positioning measured by CHES 2017. When using CHES data, please cite the following: Polk, Jonathan, Jan Rovny, Ryan Bakker, Erica Edwards, Liesbet Hooghe, Seth Jolly, Jelle Koedam, Filip Kostelka, Gary Marks, Gijs Schumacher, Marco Steenbergen, Milada Vachudova and Marko Zilovic. 2017. "Explaining the salience of anti-elitism and reducing political corruption for political parties in Europe with the 2014 Chapel Hill Expert Survey data," Research & Politics (January-March): 1-9. CHES codebooks are available here: https://www.chesdata.eu/2014-chapel-hill-expert-survey (CHES 2014) https://www.chesdata.eu/1999-2014-chapel-hill-expert-survey-ches-trend-file-1
DOI: 10.5281/zenodo.5167557
title: EUENGAGE Dataset 2016-2018

description: The EUENGAGE Dataset collects data from the EUENGAGE Project, which ran from 2015 to 2018. For more information on the EUENGAGE Project, please visit the dedicated website: www.euengage.eu It includes data from: The EUENGAGE Mass and Businesspeople panel surveys, which were conducted in ten Member States of the European Union: Czech Republic, France, Germany, Greece, Italy, Netherlands, Poland, Portugal, Spain, and United Kingdom in 2016 and 2017. The EUENGAGE elite surveys, which were conducted in the same ten Member States in 2016 and 2017. The Pre- and Post- Deliberation surveys, which were conducted in October 2016, respectively before and after the online deliberation named “E-Voice”. The EUENGAGE Dataset also includes Chapel Hill Expert Survey (CHES) data for party positioning. Values for each variable of CHES datasets have been matched to survey respondents’ voting intentions, party identifications (mass and B2B), or party of election (politicians).<br> For instance, for a respondent expressing the intention to vote for party XY (variable QG2_T1) in wave 1 (T1), there will be a set of CHES variables from CHES 2014 with values corresponding to the positioning of party XY on all the issues included in CHES 2014. Likewise, party preferences expressed in wave 2 (T4) will correspond to the values of party positioning measured by CHES 2017. When using CHES data, please cite the following: Polk, Jonathan, Jan Rovny, Ryan Bakker, Erica Edwards, Liesbet Hooghe, Seth Jolly, Jelle Koedam, Filip Kostelka, Gary Marks, Gijs Schumacher, Marco Steenbergen, Milada Vachudova and Marko Zilovic. 2017. "Explaining the salience of anti-elitism and reducing political corruption for political parties in Europe with the 2014 Chapel Hill Expert Survey data," Research & Politics (January-March): 1-9. CHES codebooks are available here: https://www.chesdata.eu/2014-chapel-hill-expert-survey (CHES 2014) https://www.chesdata.eu/1999-2014-chapel-hill-expert-survey-ches-trend-file-1
DOI: 10.6084/m9.figshare.15134313.v1
title: R_Notebook_code

description: full code and analysis for this project
DOI: 10.6084/m9.figshare.15134313
title: R_Notebook_code

description: full code and analysis for this project
DOI: 10.6084/m9.figshare.14717997
title: Requirements for beneficial electrochemical restructuring: A model study on a cobalt oxide in selected electrolytes

description: Dataset for the figures in the manuscript "Requirements for beneficial electrochemical restructuring: A model study on a cobalt oxide in selected electrolytes"<br>
DOI: 10.5281/zenodo.5171939
title: Systematic Evaluation and Usability Analysis of Formal Tools for Railway System Design - Technical Annexes

description: This package includes additional data for the paper ``Systematic Evaluation and Usability Analysis of Formal Tools for Railway System Design'', by Alessio Ferrari, Franco Mazzanti, Davide Basile, and Maurice ter Beek, CNR-ISTI, Italy. The paper concerns the systematic evaluation and usability analysis of 14 formal tools for system design, namely CADP (2020-g), FDR4(4.2.7), NuSMV(1.1.1), ProB(1.9.3), Atelier B (4.5.1), Simulink (R2020a), SPIN (6.4.9), UMC (4.8), UPPAAL (4.1.4), mCLR2 (202006.0), SAL (3.3), TLA+ (2) and CPN Tools (4.0). The current package includes the following content: Tool Evaluation Template and .pdf: a document including the reference evaluation template, and the evaluation sheet of each tool. Tool Evaluation Table.xlsx: a table summarizing the results of the evaluation. System Usability Test - SUS Results.xlsx: an excel file with multiple sheets with all the raw results of the usability test for the tools.
DOI: 10.15161/oar.it/74013
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.14910030
title: 2021 bee weight, pollen- and protein requirments

description: literature data set of bee weights and pollen (volumes, weight) provisions
DOI: 10.6084/m9.figshare.14910030.v2
title: 2021 bee weight, pollen- and protein requirments

description: literature data set of bee weights and pollen (volumes, weight) provisions
DOI: 10.6084/m9.figshare.14910030.v1
title: 2021 bee weight, pollen- and protein requirments

description: literature data set of bee weights and pollen (volumes, weight) provisions
DOI: 10.6084/m9.figshare.15134358
title: Dataset

description: full dataset
DOI: 10.5281/zenodo.5171947
title: spatial soil bulk density at OAL-UK

description: raster containing information on the spatial distribution of soil bulk density at OAL-UK. The raster was generated following a digital soil mapping approach implemented through the random forest algorithm. More detail on the map creation can be found here: https://doi.org/10.1016/j.ecoleng.2017.04.066
DOI: 10.5281/zenodo.5171946
title: spatial soil bulk density at OAL-UK

description: raster containing information on the spatial distribution of soil bulk density at OAL-UK. The raster was generated following a digital soil mapping approach implemented through the random forest algorithm. More detail on the map creation can be found here: https://doi.org/10.1016/j.ecoleng.2017.04.066
DOI: 10.5519/qd.zz0z6ven
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (304 records)
DOI: 10.5281/zenodo.5171950
title: spatial soil particle distribution at OAL-UK

description: three raster files containing information on the spatial distribution of the soil's percentage of sand, silt and clay, respectively, at OAL-UK. The files were created following a digital soil mapping approach implemented through the Random Forest algorithm. More information on how the raster files were created can be found here: https://doi.org/10.1016/j.ecoleng.2017.04.066