cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.938193.v1
title: Data of paraflocculus cochlear trauma and modulation of gene expression.

description: Cochlear threshold data<br>Spreadsheet showing animal number (column A), treatment of each animal (column B) and cochlear threshold data. Cochlear threshold data are supplied as compound action potential (CAP) threshold values for frequency range 4 to 24 kHz in dB SPL determined ipsilaterally before treatment (Columns A-K), immediately after treatment (Columns L-V) and 2 weeks after treatment (Columns W-AG) as well as contralaterally 2 weeks after treatment (Columns AJ-AT). RT-PCR Data<br>Spreadsheet showing animal number (column A), treatment of each animal (column B) and replicate Ct values for gene of interest and for housekeeping genes ribosomal protein S16 (RPS16) and beta-2-microglobulin (B2M) (column E), from samples from left and right paraflocculus (PF). Columns C-H data for GABA-A receptor subunit alpha 1 (GABRA1); columns I-N data for glutamate decarboxylase 1 (GAD1); columns O-T data for glutamate receptor NMDA subunit 1 (GRIN1); columns U-Z data for a member of RAB family of small GTPase (RAB3A).
DOI: 10.6084/m9.figshare.938192
title: Gaussian Job Archive for C20H33(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.938207.v4
title: Influence of Population Structure on Variance Decomposition

description: Variance decomposition of 'startle response' in <em>Drosophila melongaster</em> and 'mastitis 1.2' in Danish Holstein dairy cattle. Variance is partitioned by sets of randomly sampled genes. Files: <strong>'results.pdf' is the main report of results; compiled from following script.</strong> 'results.Rnw' is a knitr script to produce final report and figures for paper. 'results_partitioning.txt' contain results from analysis on startle response. Remaining data files contain results from multiple complex traits in dairy cattle, evaluations on reduced models and statistics from AI-REML algorithm.
DOI: 10.6084/m9.figshare.938214.v1
title: Agile Requirements Verification Framework

description: Verification activities are necessary to ensure that the requirements are specified in a correct way. However, every work that handles requirement verification until now has focused on traditional up-front requirements. Agile or just-in-time requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of 'correctness'. We analyze how early verification of agile requirements should be performed, based on literature of traditional and agile requirements. This leads to an agile verification framework, instantiated for the specific requirement types of feature requests in open source projects and user stories in agile projects. We have qualitatively validated our framework for feature requests with practitioners from the Dutch agile community, receiving overall positive feedback. The data sets, check list and interview questions (in Dutch) can be found on-line for reference
DOI: 10.6084/m9.figshare.938243.v6
title: Analysis for "Hierarchical Bayesian Models of Subtask Learning"

description: Data and code from:Anglim, J., & Wynton, S. K. (2015). Hierarchical Bayesian models of subtask learning. Journal of experimental psychology: learning, memory, and cognition, 41(4), 957-974. doi:10.1037/xlm0000103For updates see:https://github.com/jeromyanglim/anglim-wynton-2014-subtasks
DOI: 10.6084/m9.figshare.938214.v2
title: Agile Requirements Verification Framework

description: Verification activities are necessary to ensure that the requirements are specified in a correct way. However, every work that handles requirement verification until now has focused on traditional up-front requirements. Agile or just-in-time requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of 'correctness'. We analyze how early verification of agile requirements should be performed, based on literature of traditional and agile requirements. This leads to an agile verification framework, instantiated for the specific requirement types of feature requests in open source projects and user stories in agile projects. We have qualitatively validated our framework for feature requests with practitioners from the Dutch agile community, receiving overall positive feedback. The data sets, check list and interview questions (in Dutch) can be found on-line for reference
DOI: 10.6084/m9.figshare.938192.v1
title: Gaussian Job Archive for C20H33(1+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.938214.v3
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.938243
title: Analysis for "Hierarchical Bayesian Models of Subtask Learning"

description: Data and code from:Anglim, J., & Wynton, S. K. (2015). Hierarchical Bayesian models of subtask learning. Journal of experimental psychology: learning, memory, and cognition, 41(4), 957-974. doi:10.1037/xlm0000103<br>Archive has moved to: https://osf.io/8fx7y<br>
DOI: 10.6084/m9.figshare.937331
title: Dog movie stars and dog breed popularity (graph)

description: The graph shows how the popularity of a dog breeds measured by registrations of new puppies with the American Kennel Club) has changed following the release of a movie featuring that breed
DOI: 10.6084/m9.figshare.938214.v4
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.937002
title: Individual FASTA files and alignments for the "dark matter" analyses

description: This archive contains files which, while not directly a part of our paper "Archaeal 'dark matter' and the origin of eukaryotes", may be of interest to anyone interested in building on, following up, or repeating our work. They include the single gene FASTA datasets and alignments used to generate the concatenations analyzed in Figures 2 and 3 of that paper.
DOI: 10.6084/m9.figshare.937002.v1
title: Individual FASTA files and alignments for the "dark matter" analyses

description: This archive contains files which, while not directly a part of our paper "Archaeal 'dark matter' and the origin of eukaryotes", may be of interest to anyone interested in building on, following up, or repeating our work. They include the single gene FASTA datasets and alignments used to generate the concatenations analyzed in Figures 2 and 3 of that paper.
DOI: 10.6084/m9.figshare.938214.v5
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.937331.v1
title: Dog Movie Stars and Dog Breed Popularity

description: The graph shows how the popularity of a dog breeds measured by registrations of new puppies with the American Kennel Club) has changed following the release of a movie featuring that breed
DOI: 10.6084/m9.figshare.936998
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.936999
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.937000
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.938214.v6
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.936998.v1
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.937000.v1
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.936997
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.936999.v1
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.937331.v3
title: Dog movie stars and dog breed popularity (graph)

description: The graph shows how the popularity of a dog breeds measured by registrations of new puppies with the American Kennel Club) has changed following the release of a movie featuring that breed
DOI: 10.6084/m9.figshare.938214.v7
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.937331.v2
title: gog movie stars and dog breed popularity (graph)

description: The graph shows how the popularity of a dog breeds measured by registrations of new puppies with the American Kennel Club) has changed following the release of a movie featuring that breed
DOI: 10.6084/m9.figshare.938214.v9
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.936997.v1
title: Gaussian Job Archive for C20H20ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.938214.v8
title: JIT Requirements Quality Framework

description: Until now quality assessment of requirements has focused on traditional up-front requirements. Just-in-time (JIT) requirements are by definition incomplete, not specific and might be ambiguous when initially specified, indicating a different notion of ‘correctness’. We analyze how assessment of JIT requirements quality should be performed, based on literature of traditional and JIT requirements. We have designed a quality framework for JIT requirements and instantiated it for feature requests in open source projects. We have translated the framework into a checklist with a scoring algorithm to evaluate feature requests. We have performed an initial qualitative validation of our checklist for feature requests with eight practitioners from the Dutch agile community, receiving overall positive feedback. Then we conducted an experiment with over 80 software engineers to apply the checklist on three open source projects. This resulted in quantitative data from over 550 feature requests, together with some qualitative feedback. We use the same data to present a summarized view of the feature request quality for the three open source projects. The data sets, check list, questionnaire and interview questions (in Dutch) can be found on-line for reference.
DOI: 10.6084/m9.figshare.936992
title: Original 1200 dpi plates for Wilf 2012 Dacrycarpus puertae paper in American Journal of Botany.

description: Original resolution, 1200 dpi versions of the most important color plates published in: Wilf, P. 2012. Rainforest conifers of Eocene Patagonia: attached cones and foliage of the extant southeast-Asian and Australasian genus <em>Dacrycarpus</em> (Podocarpaceae). American Journal of Botany, v. 99, p. 562-584. http://www.amjbot.org/content/99/3/562.abstract doi:10.3732/ajb.1100367
DOI: 10.6084/m9.figshare.936979
title: Mus_musculus.NCBIM37.67.transcripts.fa

description: Protein-coding transcript sequences for MM9 from Ensembl Biomart
DOI: 10.6084/m9.figshare.936974
title: Expected XYZ positions for moving group candidate members in Gagné et al. 2014

description: These figures show the expected 3-dimensional XYZ positions of candidate members to nearby, young moving groups (red points ; blue lines point to their projections on the 3 planes) in Gagné et al. (2014), compared to the XYZ positions of bona fide members (green points ; their projections are also shown on the 3 planes, and only vertical lines pointing to their XY-plane projections are shown for clarity). The orange ellipsoid and its projections on the 3 planes represent the 1.5-sigma contour of the spatial model of the moving group in question. The statistical distance predictions from BANYAN II were used to compute the XYZ of candidate members when such measurements were unavailable. Only measurements of distance were used in the case of bona fide members. See also the other fileset (link below) for kinematic UVW versions of these figures. If you use any of these figures, please cite Gagné et al. (2014; see link below).
DOI: 10.6084/m9.figshare.936975
title: Expected UVW positions for moving group candidate members in Gagné et al. 2014

description: These figures show the expected 3-dimensional UVW positions of candidate members to nearby, young moving groups (red points ; blue lines point to their projections on the 3 planes) in Gagné et al. (2014), compared to the UVW positions of bona fide members (green points ; their projections are also shown on the 3 planes, and only vertical lines pointing to their UV-plane projections are shown for clarity). The orange ellipsoid and its projections on the 3 planes represent the 1.5-sigma contour of the kinematic model of the moving group in question. The statistical distance and radial velocity predictions from BANYAN II were used to compute the UVW of candidate members when such measurements were unavailable. Only measurements of distance and radial velocity were used in the case of bona fide members. See also the other fileset (link below) for spatial XYZ versions of these figures. If you use any of these figures, please cite Gagné et al. (2014; see link below).
DOI: 10.6084/m9.figshare.936979.v1
title: Mus_musculus.NCBIM37.67.transcripts.fa

description: Protein-coding transcript sequences for MM9 from Ensembl Biomart
DOI: 10.6084/m9.figshare.936972
title: Electoral Reforms in India: Comparative Analysis with U.S. & U.K

description: volume = {1}, number = {1}, author = {Pragya Singh}, title = {Electoral Reforms in India: Comparative Analysis with U.S. \& U.K.}, publisher = {Saurabh Chandra}, journal = {SOCRATES}, ISSN 2347-6869 year = {2013}, pages = {1-14}
DOI: 10.6084/m9.figshare.936992.v4
title: Wilf2012 AmJBot Dacrycarpus paper, 1200 dpi plates

description: Original resolution, 1200 dpi versions of the most important color plates published in: Wilf, P. 2012. Rainforest conifers of Eocene Patagonia: attached cones and foliage of the extant southeast-Asian and Australasian genus <em>Dacrycarpus</em> (Podocarpaceae). American Journal of Botany, v. 99, p. 562-584. http://www.amjbot.org/content/99/3/562.abstract
DOI: 10.6084/m9.figshare.936972.v1
title: Electoral Reforms in India: Comparative Analysis with U.S. & U.K

description: volume = {1}, number = {1}, author = {Pragya Singh}, title = {Electoral Reforms in India: Comparative Analysis with U.S. \& U.K.}, publisher = {Saurabh Chandra}, journal = {SOCRATES}, ISSN 2347-6869 year = {2013}, pages = {1-14}
DOI: 10.6084/m9.figshare.936974.v1
title: Expected XYZ positions for moving group candidate members in Gagné et al. 2014

description: These figures show the expected 3-dimensional XYZ positions of candidate members to nearby, young moving groups (red points ; blue lines point to their projections on the 3 planes) in Gagné et al. (2014), compared to the XYZ positions of bona fide members (green points ; their projections are also shown on the 3 planes, and only vertical lines pointing to their XY-plane projections are shown for clarity). The orange ellipsoid and its projections on the 3 planes represent the 1.5-sigma contour of the spatial model of the moving group in question. The statistical distance predictions from BANYAN II were used to compute the XYZ of candidate members when such measurements were unavailable. Only measurements of distance were used in the case of bona fide members. See also the other fileset (link below) for kinematic UVW versions of these figures. If you use any of these figures, please cite Gagné et al. (2014; see link below).