cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4591853
title: FAULT_FAILURE_RISK_MIDWEST_USA: Risk classification for fault failure in Illinois, Indiana, Ohio, and Kentucky USA (Indiana University, 1:500,000, Line Shapefile)

description: This dataset employs a simplified version of fault orientation relative to the stress tensors and ranks the propensity of movement as a three-level risk (high, medium, low). Fault segments in the fault systems located within the Illinois basin and surrounding portion of the eastern Midcontinent are assigned a risk based on their relative orientation to the principal horizontal stress. Horizontal stress tensors are arrayed relative to the fault segments in two different manners: a generalized single value for the average stress orientation (N 60° E for the entire domain), and a locally specific orientation of the stress tensors based on an inversion of earthquake fault plane solutions and stress indicators. The assessment of fault-slip-risk potential based on fault orientation relative to the orientation of the principal horizontal stress is improved by incorporating local stress tensor orientations over a single regional value. This layer is a product of the analysis described in: Rupp, J.A., Letsinger, S.L., and Carlson, G., 2018, Fault angle control on potential seismic slip in the Illinois Basin region: Seismological Research Letters, v 89, no 6, p. 2461-2472. doi: 10.1785/0220180153. Spatial Reference: WGS 1984 Web Mercator (Auxiliary Sphere)
description: {"references": ["Rupp, J.A., Letsinger, S.L., and Carlson, G., 2018, Fault angle control on potential seismic slip in the Illinois Basin region: Seismological Research Letters, v 89, no 6, p. 2461-2472. doi: 10.1785/0220180153."]}
DOI: 10.5281/zenodo.4591852
title: FAULT_FAILURE_RISK_MIDWEST_USA: Risk classification for fault failure in Illinois, Indiana, Ohio, and Kentucky USA (Indiana University, 1:500,000, Line Shapefile)

description: This dataset employs a simplified version of fault orientation relative to the stress tensors and ranks the propensity of movement as a three-level risk (high, medium, low). Fault segments in the fault systems located within the Illinois basin and surrounding portion of the eastern Midcontinent are assigned a risk based on their relative orientation to the principal horizontal stress. Horizontal stress tensors are arrayed relative to the fault segments in two different manners: a generalized single value for the average stress orientation (N 60° E for the entire domain), and a locally specific orientation of the stress tensors based on an inversion of earthquake fault plane solutions and stress indicators. The assessment of fault-slip-risk potential based on fault orientation relative to the orientation of the principal horizontal stress is improved by incorporating local stress tensor orientations over a single regional value. This layer is a product of the analysis described in: Rupp, J.A., Letsinger, S.L., and Carlson, G., 2018, Fault angle control on potential seismic slip in the Illinois Basin region: Seismological Research Letters, v 89, no 6, p. 2461-2472. doi: 10.1785/0220180153. Spatial Reference: WGS 1984 Web Mercator (Auxiliary Sphere)
description: {"references": ["Rupp, J.A., Letsinger, S.L., and Carlson, G., 2018, Fault angle control on potential seismic slip in the Illinois Basin region: Seismological Research Letters, v 89, no 6, p. 2461-2472. doi: 10.1785/0220180153."]}
DOI: 10.5255/ukda-sn-854713
title: Online Team-based Learning in Psychology Students, 2020-2021

description: Background: Team-based learning (TBL) is an interactive teaching method that has been implemented in person and online. Past research has evaluated in person TBL; however, little is known about online TBL. Aims: This study evaluated the effectiveness of online TBL in psychology students during the COVID-19 pandemic and their satisfaction with their course. Sample and method. Thirty-six first and second year psychology students who participated in TBL courses between September-January 2020-21 completed an online survey. Participants completed a TBL questionnaire assessing their attitudes with TBL experience, rated their overall satisfaction with their team, and online delivery of their course, and self-reported their grades. They also listed the one aspect they liked the most about the TBL sessions, and suggested one way to improve them. Results and conclusions: Our results suggested that peer evaluation motivated second-year students to work harder and more collaboratively compared to first-year students. Second-year students also reported that teams make good decisions and working with a team helped them develop team-working skills compared with first-year students. Students with previous TBL experience reported that being part of a team discussion improved their ability to think through problems compared to students with no previous TBL experience. Forty percent of the participants enjoyed their online TBL course suggesting it is a viable teaching method in psychology and may be preferred over traditional lecture-style or in person courses.
DOI: 10.6084/m9.figshare.14186716.v1
title: Erebus Volcanic Province: volcanology

description: Summary of published isotopic ages for volcanic rocks in the Erebus Volcanic Province
DOI: 10.6084/m9.figshare.14186716
title: Erebus Volcanic Province: volcanology

description: Summary of published isotopic ages for volcanic rocks in the Erebus Volcanic Province
DOI: 10.6084/m9.figshare.13298819.v1
title: The identity of Indosylvirana nicobariensis (Stoliczka 1870) (Amphibia, Ranidae) from northeast India

description: Specimens examined data (Appendix 1) and morphometric measurements of Sylvirana lacrima from Mizoram, India (Appendix 2)
DOI: 10.5287/bodleian:vyzgovxvx
title: Behaviour and pupillometry in a bandit task
DOI: 10.5522/04/14150108
title: Noise levels dataset - St Pancras New Church (22.02.2021-01.03.2021)

description: This dataset is part of the "Sound Levels Monitoring Project in London (UK)" collection - a long-term noise monitoring campaign carried out by UCL Institute for Environmental Design and Engineering. For more details, please refer to the collection details: https://doi.org/10.5522/04/c.5307266<br>Location: St Pancras New ChurchInterval: 22.02.2021 - 01.03.2021Position: 51°31'37.0"N 0°07'48.3"W (51.526931, -0.130089)Instrument: Rion NL-52<br>Reference filename:New_Church_Front_Sign_2021_02_22_0800-2021_03_01_0700_R_LZeq
DOI: 10.5522/04/14096215.v1
title: Noise levels dataset - St Pancras New Church (15.02.2021-22.02.2021)

description: This dataset is part of the "Sound Levels Monitoring Project in London (UK)" collection - a long-term noise monitoring campaign carried out by UCL Institute for Environmental Design and Engineering. For more details, please refer to the collection details: https://doi.org/10.5522/04/c.5307266<br>Location: St Pancras New ChurchInterval: 15.02.2021 - 22.02.2021Position: 51°31'37.0"N 0°07'48.3"W (51.526931, -0.130089)Instrument: Rion NL-52<br>Reference filename:New_Church_Front_Sign_2021_02_15_0800-2021_02_22_0700_R_LZeq
DOI: 10.5522/04/14096215
title: Noise levels dataset - St Pancras New Church (15.02.2021-22.02.2021)

description: This dataset is part of the "Sound Levels Monitoring Project in London (UK)" collection - a long-term noise monitoring campaign carried out by UCL Institute for Environmental Design and Engineering. For more details, please refer to the collection details: https://doi.org/10.5522/04/c.5307266<br>Location: St Pancras New ChurchInterval: 15.02.2021 - 22.02.2021Position: 51°31'37.0"N 0°07'48.3"W (51.526931, -0.130089)Instrument: Rion NL-52<br>Reference filename:New_Church_Front_Sign_2021_02_15_0800-2021_02_22_0700_R_LZeq
DOI: 10.34740/kaggle/dsv/2008469
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5522/04/14036552
title: EEW organisational resilience

description: This database has been developed for the project "Integrating earthquake early warnings into organisational resilience" supported by the British Academy/Leverhulme Small Research Grant by the United Kingdom’s Department for Business, Energy and Industrial Strategy (Grant Reference: SRG19/191797) .
DOI: 10.5522/04/14150108.v1
title: Noise levels dataset - St Pancras New Church (22.02.2021-01.03.2021)

description: This dataset is part of the "Sound Levels Monitoring Project in London (UK)" collection - a long-term noise monitoring campaign carried out by UCL Institute for Environmental Design and Engineering. For more details, please refer to the collection details: https://doi.org/10.5522/04/c.5307266<br>Location: St Pancras New ChurchInterval: 22.02.2021 - 01.03.2021Position: 51°31'37.0"N 0°07'48.3"W (51.526931, -0.130089)Instrument: Rion NL-52<br>Reference filename:New_Church_Front_Sign_2021_02_22_0800-2021_03_01_0700_R_LZeq
DOI: 10.5522/04/14036552.v1
title: EEW organisational resilience

description: This database has been developed for the project "Integrating earthquake early warnings into organisational resilience" supported by the British Academy/Leverhulme Small Research Grant by the United Kingdom’s Department for Business, Energy and Industrial Strategy (Grant Reference: SRG19/191797) .
DOI: 10.6084/m9.figshare.13653497
title: Additional Large Table 2: MetaPhlAn2 Vibrio Enriched Culture Taxonomy

description: Additional Table 1: MetaPhlAn2 Enriched CultureTaxonomy<br>Manuscript: Temperature and salinity drive pathogenic vibrio distributions and associations with plankton microbiomes
DOI: 10.6084/m9.figshare.13653497.v5
title: Additional Large Table 2: MetaPhlAn2 Vibrio Enriched Culture Taxonomy

description: Additional Table 1: MetaPhlAn2 Enriched CultureTaxonomy<br>Manuscript: Temperature and salinity drive pathogenic vibrio distributions and associations with plankton microbiomes
DOI: 10.6084/m9.figshare.13653497.v4
title: Additional Large Table 1: MetaPhlAn2 Vibrio Enriched Culture Taxonomy

description: Additional Table 1: MetaPhlAn2 Enriched CultureTaxonomy<br>Manuscript: Temperature and salinity drive pathogenic vibrio distributions and associations with plankton microbiomes
DOI: 10.6084/m9.figshare.13653512
title: Additional Large Table 1: Relative Abundance of Enriched Vibrio Species HSP60

description: Relative Abundance of Enriched Vibrio Species HSP60<br>Additional file to manuscript: Temperature and salinity drive pathogenic vibrio distributions and associations with plankton microbiomes
DOI: 10.6084/m9.figshare.13653512.v2
title: Additional Large Table 2: Relative Abundance of Enriched Vibrio Species HSP60

description: Relative Abundance of Enriched Vibrio Species HSP60<br>Additional file to manuscript: Temperature and salinity drive pathogenic vibrio distributions and associations with plankton microbiomes
DOI: 10.5255/ukda-sn-854706
title: Rerunning Patterns of Members of Legislative Assembly in India's State Elections, 1985-2018

description: The dataset covers regional assembly or Vidhan Sabha elections in India from 1985-2018. We first divided the data into two sets, pre-delimitation (1985-2007) and post-delimitation (2008-2018). We used the stringdist package in R developed by Van der Loo (2014) to name-match candidates in order to identify which of them reran for the same party in the same seat. The stringdist package offers a uniform interface to a number of well-known string distance measures, such as edit-based, q-gram and heuristics distances. Following an iterative process, we used a combination of Damerau-Levenshtein, q-gram, cosine, jaccard, and Jaro-Winker distances to identify candidates which have rerun for political office. We manually went over a large portion of the data, and corrected for any measurement errors. There were 91260 candidates with 17961 constituency-years in 4424 Vidhan Sabha constituencies for the pre-delimitation period after excluding independents. We further subset the dataset to top four candidates because candidates further down the list rarely received many votes. We were left with 58842 candidates with 17959 constituency-years in 4424 Vidhan Sabha constituencies. We further subset the data to observations where incumbent and/or challenger parties reran for elections in the same seat. We were further left with 20362 candidates with 12310 constituency-years in 4098 Vidhan Sabha constituencies. Out of the 20362 candidates, we have 10920 incumbent party candidates and 9442 challenger party candidates. Therefore, for the pre-delimitation time period, we have rerunning data for 10920 incumbent party candidates and 9442 challenger party candidates. For the post-delimitation period, there were 27723 candidates with 9096 constituency-years in 4067 Vidhan Sabha constituencies after removing independents and subsetting the dataset to top four candidates. We further subset the data to observations where incumbent and/or challenger parties reran for elections in the same seat. There were 7543 candidates with 4652 constituency-years in 3792 Vidhan Sabha constituencies. Therefore, for the post-delimitation time period, we have rerunning data for 3953 incumbent party candidates and 3590 challenger party candidates.
DOI: 10.5281/zenodo.4591003
title: Maps of a sample of large Martian fluvial systems (polygonal .shp + raster files)

description: This dataset contains maps of a sample of large Martian fluvial systems. These systems have been mapped as vector-based polygons within the QGIS software, using the more recent and, to date, the best resolution THEMIS (Thermal Emission Imaging Spectrometer) daytime IR mosaic (100 m/pixel). In addition, we used, where necessary (for small-scale systems and valleys with high erosion), CTX (Contex Camera) data, with a resolution up to 6 m/pixel. The imagery data were coupled with the MOLA (Mars Orbiter Laser Altimeter Mosaic) mosaic which has a spatial resolution of 463 m/pixel. At low latitudes, we used an equidistant cylindrical projection, while at high latitudes, we used sinusoidal and polar stereographic projections to represent and analyze the data. Topographic information and data of higher image quality (new THEMIS mosaic plus CTX data) than those of previous manual maps, allowed us to identify new structures and more tributaries for a large number of systems. A MOLA-based raster file is also associated to each valley mapped. <strong>Attribution:</strong> <strong>If you use this data set in your own work, please cite this DOI:<br> 10.5281/zenodo.4591003</strong> <strong>Please also cite these works: </strong> Alemanno et al.: 2018, Global Map of Martian Fluvial Systems: Age and Total Eroded Volume Estimations, Earth and Space Science Journal, 5, 560-577, doi:https://doi.org/10.1029/2018EA000362<br> Orofino et al.: 2018, Estimate of the water flow duration in large Martian fluvial systems. Planetary and Space Science Journal, 163, 83-96. doi: 10.1016/j.pss.2018.06.001<br> Alemanno G.: 2018, Study of the fluvial activity on Mars through mapping, sediment transport modelling and spectroscopic analyses. PhD dissertation thesis, arXiv:1805.02208 [astro-ph.EP]
description: {"references": ["Alemanno et al.: 2018, Global Map of Martian Fluvial Systems: Age and Total Eroded Volume Estimations, Earth and Space Science Journal, 5, 560-577, doi:https://doi.org/10.1029/2018EA000362", "Orofino et al.: 2018, Estimate of the water flow duration in large Martian fluvial systems. Planetary and Space Science Journal, 163, 83-96. doi: 10.1016/j.pss.2018.06.001", "Alemanno G.: 2018, Study of the fluvial activity on Mars through mapping, sediment transport modelling and spectroscopic analyses. PhD dissertation thesis, arXiv:1805.02208 [astro-ph.EP]."]}
DOI: 10.5281/zenodo.4591002
title: Maps of a sample of large Martian fluvial systems (polygonal .shp + raster files)

description: This dataset contains maps of a sample of large Martian fluvial systems. These systems have been mapped as vector-based polygons within the QGIS software, using the more recent and, to date, the best resolution THEMIS (Thermal Emission Imaging Spectrometer) daytime IR mosaic (100 m/pixel). In addition, we used, where necessary (for small-scale systems and valleys with high erosion), CTX (Contex Camera) data, with a resolution up to 6 m/pixel. The imagery data were coupled with the MOLA (Mars Orbiter Laser Altimeter Mosaic) mosaic which has a spatial resolution of 463 m/pixel. At low latitudes, we used an equidistant cylindrical projection, while at high latitudes, we used sinusoidal and polar stereographic projections to represent and analyze the data. Topographic information and data of higher image quality (new THEMIS mosaic plus CTX data) than those of previous manual maps, allowed us to identify new structures and more tributaries for a large number of systems. A MOLA-based raster file is also associated to each valley mapped. <strong>Attribution:</strong> <strong>If you use this data set in your own work, please cite this DOI:<br> 10.5281/zenodo.4591003</strong> <strong>Please also cite these works: </strong> Alemanno et al.: 2018, Global Map of Martian Fluvial Systems: Age and Total Eroded Volume Estimations, Earth and Space Science Journal, 5, 560-577, doi:https://doi.org/10.1029/2018EA000362<br> Orofino et al.: 2018, Estimate of the water flow duration in large Martian fluvial systems. Planetary and Space Science Journal, 163, 83-96. doi: 10.1016/j.pss.2018.06.001<br> Alemanno G.: 2018, Study of the fluvial activity on Mars through mapping, sediment transport modelling and spectroscopic analyses. PhD dissertation thesis, arXiv:1805.02208 [astro-ph.EP]
description: {"references": ["Alemanno et al.: 2018, Global Map of Martian Fluvial Systems: Age and Total Eroded Volume Estimations, Earth and Space Science Journal, 5, 560-577, doi:https://doi.org/10.1029/2018EA000362", "Orofino et al.: 2018, Estimate of the water flow duration in large Martian fluvial systems. Planetary and Space Science Journal, 163, 83-96. doi: 10.1016/j.pss.2018.06.001", "Alemanno G.: 2018, Study of the fluvial activity on Mars through mapping, sediment transport modelling and spectroscopic analyses. PhD dissertation thesis, arXiv:1805.02208 [astro-ph.EP]."]}
DOI: 10.6084/m9.figshare.14186699
title: DataLasikvsSmile.xlsx

description: Data Set to analyze difference of corneal volume and thickness change after LASIK and SMILE
DOI: 10.5281/zenodo.4383264
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrés Fernando Sánchez Restrepo, https://orcid.org/0000-0001-7514-068X. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.4589556
title: delete

description: delete
DOI: 10.5281/zenodo.4589559
title: Jonction tree canopy

description: Tree canopy map for the Jonction neighbourhood (Geneva) at the 40cm resolution obtained with DetecTree [1] from Geneva's Orthophoto 2019 and LiDAR 2019 datasets. See the jonction-tree-canopy repository at GitHub for more technical details.
DOI: 10.5281/zenodo.4589572
title: Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study

description: <strong>Replication Package for the paper "Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study" (MSR '21).</strong> <strong># Scripts: Data Collection and Processing</strong> These are the scripts used to extract the data from _rOpenSci_. The following steps indicate how to use them. 1. Add all attached R files into an R project. 2. Install the following R packages. Moreover, the process also requires to have a working GitHub account, in order to obtain the corresponding token. ```{r} library(dplyr) library(stringr) library(stringi) library(jsonlite) library(httpuv) library(httr) library(ggplot2) library(tidyr) ```' 3. All the individual functions on the following files should be sourced into the R Environment: `getToken.R`, `comments.R`, `issues.R`, and `tagging.R`. 4. Run the script located on the file `process.R`. This will run all the previous functions in the corresponding order. <strong># Datasets</strong> The following files are included: -Dataset_1-100_Author1.xlsx contains the randomly selected 100 comments that were classified according to TD types by Author 1. -Dataset_1-100_Author2.xlsx contains the randomly selected 100 comments that were classified according to TD types by Author 2 and the combined classification (in blue) after discussion. -Dataset_Phrases_Both.xlsx contains the randomly selected 358 comments (resulting in 602 phrases) that were classified according to TD types by both authors 1 and 2. Their classification was incorporated into a single spreadsheet side by side for easy comparison. Disagreement was discussed and final classification is in the “Agreement” field. -UserRoles.csv contains the user roles associated with the 600 phrases. The “comment_id” is the unique identifier for the comment from which the phrase is extracted. The phrase is represented in the “statement” field. The “agreement” field shows the final technical debt label after the analysis by two of the authors. The user roles are shown in the “user_role” column.
DOI: 10.5281/zenodo.4589573
title: Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study

description: <strong>Replication Package for the paper "Technical Debt in the Peer-Review Documentation of R Packages: a rOpenSci Case Study" (MSR '21).</strong> <strong># Scripts: Data Collection and Processing</strong> These are the scripts used to extract the data from _rOpenSci_. The following steps indicate how to use them. 1. Add all attached R files into an R project. 2. Install the following R packages. Moreover, the process also requires to have a working GitHub account, in order to obtain the corresponding token. ```{r} library(dplyr) library(stringr) library(stringi) library(jsonlite) library(httpuv) library(httr) library(ggplot2) library(tidyr) ```' 3. All the individual functions on the following files should be sourced into the R Environment: `getToken.R`, `comments.R`, `issues.R`, and `tagging.R`. 4. Run the script located on the file `process.R`. This will run all the previous functions in the corresponding order. <strong># Datasets</strong> The following files are included: -Dataset_1-100_Author1.xlsx contains the randomly selected 100 comments that were classified according to TD types by Author 1. -Dataset_1-100_Author2.xlsx contains the randomly selected 100 comments that were classified according to TD types by Author 2 and the combined classification (in blue) after discussion. -Dataset_Phrases_Both.xlsx contains the randomly selected 358 comments (resulting in 602 phrases) that were classified according to TD types by both authors 1 and 2. Their classification was incorporated into a single spreadsheet side by side for easy comparison. Disagreement was discussed and final classification is in the “Agreement” field. -UserRoles.csv contains the user roles associated with the 600 phrases. The “comment_id” is the unique identifier for the comment from which the phrase is extracted. The phrase is represented in the “statement” field. The “agreement” field shows the final technical debt label after the analysis by two of the authors. The user roles are shown in the “user_role” column.
DOI: 10.5281/zenodo.4589582
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Benjamin Price, https://orcid.org/0000-0001-5497-4087. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.