cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4670530.v11
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[DATASET]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.- <i>RQ4_RQ5.zip</i> consists of the two labeled datasets where each review is labeled as spsn, snsp, or non (Non-Contention).<br><br>[CONTENTION CATEGORY (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned SP-SN and SN-SP reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated SP-SN and SN-SP reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.<br>
DOI: 10.6084/m9.figshare.4670530.v12
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[DATASET]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.- <i>RQ4_RQ5.zip</i> consists of the two labeled datasets where each review is labeled as spsn, snsp, or non (Non-Contention).<br><br>[CONTENTION CATEGORY (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned SP-SN and SN-SP reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated SP-SN and SN-SP reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.<br>
DOI: 10.6084/m9.figshare.4670530.v14
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).(Example 1) <i>Abandoned contentious patches in Nova: </i>Please go into ‘contention_spsn_snsp’ directory. Then you can find the targeting file “nova_labeled_abandoned_spsn_snsp.csv”(Example 2) <i>Integrated NON-contentious patches in QtBase: </i>Please go into ‘non’ directory. Then you can find the targeting file “qtbase_labeled_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v15
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).<br>- Abandoned and integrated contentious patch datasets are in ‘contention_spsn_snsp’ directory. For example, if you would like to see abandoned contentious (SP-SN and SN-SP) patches in Nova, you can find “nova_abandoned_spsn_snsp.csv”.- Abandoned and integrated NON-contentious patch<i> datasets </i>are in ‘non_contention’ directory. For example, if you would like to see integrated non-contentious patches in Qtbase, you can find “qtbase_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v16
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).<br>- Abandoned and integrated contentious patch datasets are in ‘contention_spsn_snsp’ directory. For example, if you would like to see abandoned contentious (SP-SN and SN-SP) patches in Nova, you can find “nova_abandoned_spsn_snsp.csv”.- Abandoned and integrated NON-contentious patch<i> datasets </i>are in ‘non_contention’ directory. For example, if you would like to see integrated non-contentious patches in Qtbase, you can find “qtbase_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v17
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).<br>- Abandoned and integrated contentious patch datasets are in ‘contention_spsn_snsp’ directory. For example, if you would like to see abandoned contentious (SP-SN and SN-SP) patches in Nova, you can find “nova_abandoned_spsn_snsp.csv”.- Abandoned and integrated NON-contentious patch<i> datasets </i>are in ‘non_contention’ directory. For example, if you would like to see integrated non-contentious patches in Qtbase, you can find “qtbase_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v18
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).<br>- Abandoned and integrated contentious patch datasets are in ‘contention_spsn_snsp’ directory. For example, if you would like to see abandoned contentious (SP-SN and SN-SP) patches in Nova, you can find “nova_abandoned_spsn_snsp.csv”.- Abandoned and integrated NON-contentious patch<i> datasets </i>are in ‘non_contention’ directory. For example, if you would like to see integrated non-contentious patches in Qtbase, you can find “qtbase_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v19
title: A Replication Package for Contentious Patch Analysis

description: [SUMMARY]To enable future studies, we have made a replication package available here, which includes the quantitative and qualitative data, and more detailed hierarchies of the reasons for abandonment and integration of contentious patches (omitted in the paper due to space limitations).<br>[Quantitative Analysis (RQ1, RQ2, and RQ3)]- <i>RQ1_RQ3.zip</i> consists of the raw datasets and R script that replicate the graphs in our quantitative analysis.In order to replicate the figure 5, figure 6, and figure 7 in Section III, you are able to run the command below:“Rscript trendAnalysis_RQ1RQ2RQ3.R”This script generates figure 5, figure 6, and figure 7 in the same place as the script.<br>[Qualitative Analysis (RQ4 and RQ5)]- <i>RQ4_RQ5.zip</i> consists of two labeled contentious review datasets and two labeled non-contentious review datasets in each subject system (Nova and Qtbase).<br>- Abandoned and integrated contentious patch datasets are in ‘contention_spsn_snsp’ directory. For example, if you would like to see abandoned contentious (SP-SN and SN-SP) patches in Nova, you can find “nova_abandoned_spsn_snsp.csv”.- Abandoned and integrated NON-contentious patch<i> datasets </i>are in ‘non_contention’ directory. For example, if you would like to see integrated non-contentious patches in Qtbase, you can find “qtbase_integrated_non.csv”<br>[The Detailed Taxonomies (RQ4 and RQ5)]<i>Contention_NonContention_Comparison.pdf</i> consists of two taxonomies that explain the detailed reviewer concerns.- Table 1 shows the taxonomy that explains the reviewer concerns that raise contention in abandoned contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in abandoned non-contentious reviews.<br>- Table 2 shows the taxonomy that explains how reviewers resolve contention in integrated contentious (SP-SN and SN-SP) reviews. In addition to it, this table also does reviewer concerns that were raised without contention in integrated non-contentious reviews.
DOI: 10.6084/m9.figshare.4670530.v21
title: A Replication Package for Contentious Patch Analysis

description: <b>A Replication Package [TSE-2018-06-0219]</b><br>This package includes all scripts and datasets for the replication study.To run this package, please see <b>README.md </b>or<b> </b><b>README.pdf</b>.This README document describes how to set up the environment and run scripts.
DOI: 10.6084/m9.figshare.4670530.v20
title: A Replication Package for Contentious Patch Analysis

description: <b>A Replication Package [TSE-2018-06-0219]</b><br>This package includes all scripts and datasets for the replication study.To run this package, <b>please see README.md</b>.This README.md describes how to set up the environment and run scripts.
DOI: 10.5281/zenodo.4012357
title: Atmospheric_river_sensitivity_to_local_SST_investigation_datasets

description: This repository includes all the data used to plot the figures in the main texts and supplements (if applicable) of the following paper: Chen, X. and L. R. Leung, 2020: Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations, <em>Geophys. Res. Lett.</em> The related plotting scripts is available on GitHub: lucas-uw/Chen-2020-GRL <em>Should you choose to use this dataset, please cite the above paper where appropriate.</em>
description: v0.0 is the initialization of this dataset. Please use the most recent version for the complete dataset.
DOI: 10.5281/zenodo.4012356
title: Atmospheric_river_sensitivity_to_local_SST_investigation_datasets

description: This repository includes all the data used to plot the figures in the main texts and supplements (if applicable) of the following paper: Chen, X. and L. R. Leung, 2020: Response of landfalling atmospheric rivers on the U.S. west coast to local sea surface temperature perturbations, <em>Geophys. Res. Lett.</em> The related plotting scripts is available on GitHub: lucas-uw/Chen-2020-GRL <em>Should you choose to use this dataset, please cite the above paper where appropriate.</em>
description: v0.0 is the initialization of this dataset. Please use the most recent version for the complete dataset.
DOI: 10.5281/zenodo.4011711
title: Wikidata Dump populated places

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4011710
title: Wikidata Dump populated places

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4011713
title: Wikidata Dump populated places

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4011712
title: Wikidata Dump populated places

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.6084/m9.figshare.10052408
title: A morphological, reproductive, and molt phenology database for 379 bird species from the Colombian Tropical Andes

description: The Colombian Tropical Andes is amongst the highest bird diversity places on Earth. However, the information on bird morphology, reproductive phenology, and molting is particularly scarce in this region. Also, this region is heavily impacted by forestation and it is vulnerable to climate change. Hence, it is necessary to have baseline information on this regard to support future research on functional diversity, climate change effects, conservation, evolution, and phenology. To fill this gap, the Research Group on Tropical Ecosystems has compiled information on bird distribution, morphology, molt, and reproductive phenology at 52 localities of the Department of Caldas, covering an elevation range between 148 and 3845 m. Therefore, this compilation comprises a wide range of habitats, including native forests, forestry plantations, croplands, and paramo zones. Our database presents information for 3398 specimens belonging to 379 bird species (representing 23 orders, 53 families, and 258 genera). From those records, 2843 are based on information collected in the field between 2008 and 2019, and the remaining 555 records correspond to specimens deposited in the Natural History Museum of the Caldas University, collected between 1969 and 2014. We measured nine morphological traits from all specimens: total culmen, gape, bill width, bill depth, tarsus, wing length, tail length, total length, and weight. We also have reproductive condition for 257 species and molt information available for 378 species. The information contained in this dataset represents ~20% of the Colombian avifauna and ~11% of the bird species richness in South America.<br>This is a mirror repository of the Data Paper Published in Ecology.
DOI: 10.6084/m9.figshare.4669435
title: ICW Water Quality Summer 2016

description: A subset of water quality data taken from the dock of the UNCW Center for Marine Science in Wilmington, NC over summer 2016. Thanks to David Wells and the rest of the oceanographic instrumentation team at UNCW for coordinating the sampling. <br>
DOI: 10.6084/m9.figshare.4669429
title: Finding correlations in water quality data

description: R code for performing basic correlations between water quality parameters sampled over summer 2016. <br>
DOI: 10.6084/m9.figshare.4669435.v2
title: ICW Water Quality Summer 2016

description: A subset of water quality data taken from the dock of the UNCW Center for Marine Science in Wilmington, NC over summer 2016. Thanks to David Wells and the rest of the oceanographic instrumentation team at UNCW for coordinating the sampling. <br>
DOI: 10.6084/m9.figshare.4669432.v1
title: The Australian Advanced Practice Nursing Self-Appraisal Tool (The ADVANCE Tool)

description: The Australian Advanced Practice Nursing Self-Appraisal (ADVANCE) tool provides a standardised understanding of advanced practice which will support workforce planning and cross-discipline team development. Furthermore, the facility to demonstrate achievement of practice at this level is necessary for individual career planning, succession planning, can inform postgraduate nursing education curricula and for some, can concern eligibility for endorsement as a nurse practitioner in Australia.
DOI: 10.6084/m9.figshare.4669435.v1
title: ICW Water Quality Summer 2016

description: A subset of water quality data taken from the dock of the UNCW Center for Marine Science in Wilmington, NC over summer 2016. Thanks to David Wells and the rest of the oceanographic instrumentation team at UNCW for coordinating the sampling. <br>
DOI: 10.6084/m9.figshare.4669348
title: A Dataset for The Bug Report Duplication Problem

description: Bug report dataset created to support the study on the bug report duplication problem. It covers a set of bug reports of eight popular open source projects in a period of seven years. The dataset allows researchers to explore bug reports data, and understand and answer different questions on bugs nature, as well as finding the correlation between bugs and projects characteristics, how they have evolved over the years and so on.
DOI: 10.6084/m9.figshare.4669102
title: Tung et al_FM paper_Figure 1_raw data.xlsx

description: Data used for the Figures in the manuscript PONE-D-16-46849Firemaster® 550 and its components isopropylated triphenyl phosphate and triphenyl phosphate enhance adipogenesis and transcriptional activity of peroxisome proliferator activated receptor (Pparγ) on the adipocyte protein 2 (aP2) promoter
DOI: 10.6084/m9.figshare.4669102.v1
title: Tung et al_FM paper_Figure 1_raw data.xlsx

description: Data used for the Figures in the manuscript PONE-D-16-46849Firemaster® 550 and its components isopropylated triphenyl phosphate and triphenyl phosphate enhance adipogenesis and transcriptional activity of peroxisome proliferator activated receptor (Pparγ) on the adipocyte protein 2 (aP2) promoter
DOI: 10.6084/m9.figshare.4669102.v3
title: Tung et al_FM paper_Figure 1_raw data.xlsx

description: Data used for the Figures in the manuscript PONE-D-16-46849Firemaster® 550 and its components isopropylated triphenyl phosphate and triphenyl phosphate enhance adipogenesis and transcriptional activity of peroxisome proliferator activated receptor (Pparγ) on the adipocyte protein 2 (aP2) promoter
DOI: 10.6084/m9.figshare.4669102.v2
title: Tung et al_FM paper_Figure 1_raw data.xlsx

description: Data used for the Figures in the manuscript PONE-D-16-46849Firemaster® 550 and its components isopropylated triphenyl phosphate and triphenyl phosphate enhance adipogenesis and transcriptional activity of peroxisome proliferator activated receptor (Pparγ) on the adipocyte protein 2 (aP2) promoter