cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4121935
title: Extraction of Conceptual Models: User Stories vs. Use Cases

description: This online appendix provides the materials of an experiment regarding the performance of individual subjects (24 students) in the extraction of conceptual models from a specification expressed: [IV1] as user stories or use cases [IV2] for one of three types of fictitious systems: hospital management system, urban traffic simulator, and international football association portal We measure the performance in terms of validity (DV1) and completeness (DV2) against models that were created by domain experts (the three authors of the paper and of this online appendix) from each of the specifications. The materials include The description of the three systems (folder System Descriptions) An Excel spreadsheet that includes raw data, charts, and statistical results The guidelines that the authors used in assessing the quality of the subjects' models against the expert models For each student who participated in the experiment and gave consent, The specification, either via user stories or use cases, created by the student The student model created by the student The expert model created by one of the paper authors<br> Note that these files are highlighted to denote how we applied the tagging guidelines
DOI: 10.5281/zenodo.4121934
title: Extraction of Conceptual Models: User Stories vs. Use Cases

description: This online appendix provides the materials of an experiment regarding the performance of individual subjects (24 students) in the extraction of conceptual models from a specification expressed: [IV1] as user stories or use cases [IV2] for one of three types of fictitious systems: hospital management system, urban traffic simulator, and international football association portal We measure the performance in terms of validity (DV1) and completeness (DV2) against models that were created by domain experts (the three authors of the paper and of this online appendix) from each of the specifications. The materials include The description of the three systems (folder System Descriptions) An Excel spreadsheet that includes raw data, charts, and statistical results The guidelines that the authors used in assessing the quality of the subjects' models against the expert models For each student who participated in the experiment and gave consent, The specification, either via user stories or use cases, created by the student The student model created by the student The expert model created by one of the paper authors<br> Note that these files are highlighted to denote how we applied the tagging guidelines
DOI: 10.6084/m9.figshare.13135760
title: raw data to Fig.8&9

description: raw Brillouin spectra for Figure 8 and 9
DOI: 10.6084/m9.figshare.13135871.v1
title: Arxiv Article Categories

description: Dataset with arXiv categories for papers and data dictionary
DOI: 10.6084/m9.figshare.13135871
title: Arxiv Article Categories

description: Dataset with arXiv categories for papers and data dictionary
DOI: 10.6084/m9.figshare.13134716.v1
title: JVASP-51349 to JVASP-52837

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.13135064.v1
title: R0311_20191114a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13135829.v1
title: GBE phylogenomic dataset of 264 conserved proteins

description: A revised version of the dataset used for phylogenomic reconstruction of Holomycota by Mikhailov et al. 2016.
DOI: 10.21227/004r-fk70
title: C-Model 0

description: C-Model 0
DOI: 10.17632/p34gktk5kb.1
title: Data for: How cash transfers program affects environmental poverty among ultra-poor? Insights from the BISP in Pakistan

description: Household data
DOI: 10.15784/601394
title: Multi-site ice core Krypton stable isotope ratios

description: Stable isotope ratios of atmospheric krypton, argon, nitrogen and oxygen were measured in late-Holocene ice core samples from nine sites in Antarctica and Greenland, for the purpose of calibrating the Kr-86 excess proxy as defined in Buizert and Severinghaus (2016).
DOI: 10.7912/d2/16
title: Eagle Creek Reservoir (ECR) 2018 Study Dataset

description: student thesis
DOI: 10.21227/1s0e-7z16
title: Reliability and Performance Impacts and Trade-Offs of Dynamic Routing Architectures in Service- and Cloud-Based Environments

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.6084/m9.figshare.12847151
title: Thermal Plasticity of Tapinoma magnum

description: The data accompanies the manuscript "Increased acclimation ability accompanies a thermal niche shift of a recent invasion" by Bujan et al. 2020 in Journal of Animal Ecology.
DOI: 10.21227/w18s-vt71
title: Reliability and Performance Impacts and Trade-Offs of Dynamic Routing Architectures in Service- and Cloud-Based Environments

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.6084/m9.figshare.13010063
title: Mass spectrometry on tRNAs from Tet1/2/3 tKO mESCs rescued with TET2 WT or catalytic mutant (HxD) and control (GFP)

description: Mass spectrometry analysis on tRNAs gel purified from Tet1/2/3 triple KO mouse embryonic stem cells after transient transfection of TET2 catalytic fragment wild type (WT), catalytic mutant (HxD), or a GFP as a negative control. As shown in Fig. 4D of "<i>TET2 chemically modifies tRNAs and regulates tRNA fragment levels</i>" by He et al.
DOI: 10.6084/m9.figshare.13010039
title: RNA mass spectrometry on WT, Tet2 KO, and Tet1/2/3 tKO mouse embryonic stem cells

description: Mass spectrometry for total, size selected small RNAs (&lt; 200 nts), and gel-purified tRNAs in wild type, Tet2 single KO, and Tet1/2/3 triple KO mouse embryonic stem cells. As shown in Fig. 4A–B and Extended Data Fig. 4D of "<i>TET2 chemically modifies tRNAs and regulates tRNA fragment levels</i>" by He et al.
DOI: 10.6084/m9.figshare.13008335.v1
title: RNA mass spectrometry of tRNAs after incubation with recombinant TET2

description: Mass spectrometry on purified tRNA after incubation with recombinant TET2 catalytic fragment or control reactions. As shown in Fig. 4F of "<i>TET2 chemically modifies tRNAs and regulates tRNA fragment levels</i>" by He et al.
DOI: 10.6084/m9.figshare.13008335
title: RNA mass spectrometry of tRNAs after incubation with recombinant TET2

description: Mass spectrometry on purified tRNA after incubation with recombinant TET2 catalytic fragment or control reactions. As shown in Fig. 4F of "<i>TET2 chemically modifies tRNAs and regulates tRNA fragment levels</i>" by He et al.
DOI: 10.5281/zenodo.4018694
title: CusVarDB: A tool for building customized sample-specific variant protein database from Next-generation sequencing datasets

description: CusVarDB is a windows based tool for creating a variant protein database from Next-generation sequencing datasets. The program supports variant calling for Genome, RNA-Seq and exome datasets. This repository will provide the resultant variant peptides identified in our study and its corresponding information. The detailed information of the table is given below. Supplementary Table 1. This table contains the resultant variant peptides along with its wild-type peptides from BT474, MDMAB157, MFM223, and HCC38 datasets. Along with mutant peptides, this section also provides additional information such as peptide-spectrum match (PSM), Protein accession, cross-correlation value from the search (Xcorr), and retention time (RT). Supplementary Table 2. This table provides the complete details of the resultant peptides. Here the mutant and corresponding wild-type peptides are mentioned in different sheets. For a given mutant peptide its wild-type peptide and corresponding information can be mapped using the VLOOKUP function in Excel by keeping column A (Sl.No) as lookup parameter. Supplementary Table 3. This table briefs about the variants which are already reported in other cancers.
DOI: 10.5281/zenodo.3747107
title: CusVarDB: A tool for building customized sample-specific variant protein database from Next-generation sequencing datasets

description: CusVarDB is a windows based tool for creating a variant protein database from Next-generation sequencing datasets. The program supports variant calling for Genome, RNA-Seq and exome datasets. This repository will provide the resultant variant peptides identified in our study and its corresponding information. The detailed information of the table is given below. Supplementary Table 1. This table contains the resultant variant peptides along with its wild-type peptides from BT474, MDMAB157, MFM223, and HCC38 datasets. Along with mutant peptides, this section also provides additional information such as peptide-spectrum match (PSM), Protein accession, cross-correlation value from the search (Xcorr), and retention time (RT). Supplementary Table 2. This table provides the complete details of the resultant peptides. Here the mutant and corresponding wild-type peptides are mentioned in different sheets. For a given mutant peptide its wild-type peptide and corresponding information can be mapped using the VLOOKUP function in Excel by keeping column A (Sl.No) as lookup parameter. Supplementary Table 3. This table briefs about the variants which are already reported in other cancers.
DOI: 10.21227/6s04-rt49
title: Amiri_TSC_2020

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.21227/ce6t-r613
title: Amiri-TSC-2020

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.5281/zenodo.4121942
title: MicroED datasets from a proteinase K lamella using a 50 micrometre C2 condenser aperture

description: These are the two diffraction data sets used to determine the proteinase K structure from a crystalline lamella by electron diffraction, as deposited in the PDB with id 6ZEU and published in https://doi.org/10.3389/fmolb.2020.00179 A script is provided that allows indexing of the diffraction spots using DIALS 3.1. This is adapted from the commands used to process the data for the publication, which used DIALS 1.10.
description: {"references": ["Beale, E. V., Waterman, D. G., Hecksel, C., van Rooyen, J., Gilchrist, J. B., Parkhurst, J. M., \u2026 Zhang, P. (2020). A Workflow for Protein Structure Determination From Thin Crystal Lamella by Micro-Electron Diffraction. Frontiers in Molecular Biosciences, 7(August), 1\u20139. https://doi.org/10.3389/fmolb.2020.00179"]}
DOI: 10.5281/zenodo.4121941
title: MicroED datasets from a proteinase K lamella using a 50 micrometre C2 condenser aperture

description: These are the two diffraction data sets used to determine the proteinase K structure from a crystalline lamella by electron diffraction, as deposited in the PDB with id 6ZEU and published in https://doi.org/10.3389/fmolb.2020.00179 A script is provided that allows indexing of the diffraction spots using DIALS 3.1. This is adapted from the commands used to process the data for the publication, which used DIALS 1.10.
description: {"references": ["Beale, E. V., Waterman, D. G., Hecksel, C., van Rooyen, J., Gilchrist, J. B., Parkhurst, J. M., \u2026 Zhang, P. (2020). A Workflow for Protein Structure Determination From Thin Crystal Lamella by Micro-Electron Diffraction. Frontiers in Molecular Biosciences, 7(August), 1\u20139. https://doi.org/10.3389/fmolb.2020.00179"]}
DOI: 10.5281/zenodo.4121926
title: LUNA16 Part 2/2

description: This is part 2/2 of the record LUNA16 Part 1/2.
DOI: 10.5281/zenodo.2596478
title: LUNA16 Part 2/2

description: This is part 2/2 of the record LUNA16 Part 1/2.
DOI: 10.6069/nbzx-k319
title: United States COVID-19 Scenarios 2020-2021

description: This dataset represents estimates of the ongoing COVID-19 pandemic across the 50 U.S. States and DC through 28th February 2021. Projections for total and daily deaths, daily infections, and testing are included with hospital resource use statistics. In total five scenarios are presented: a 'plausible reference scenario,' which assumes social distancing mandates are re-imposed for 6 weeks when a threshold daily death rate of 8 per million is reached; a 'mandates easing' scenario, where mandates are not re-imposed; a 'universal mask-use' scenario, where mask utilization reaches 95% usage in public in every location; a less comprehensive mask scenario of 85% public use of masks (‘plausible reference + 85% mask-use’ scenario); and a scenario of universal mask wearing in the absence of any additional NPI (‘mandate easing + universal mask use’). These projections are produced with a model that incorporates data on observed COVID-19 deaths, hospitalizations, and cases, as well as multiple covariates.
DOI: 10.25380/iastate.13118186
title: Data resources for 'Far Beyond Post-Secondary: Longitudinal analyses of topic and citation networks in the field of Higher Education Studies'

description: Term document matrices for <i>Far Beyond Post-Secondary: Longitudinal analyses of topic and citation networks in the field of Higher Education Studies. </i>
DOI: 10.25380/iastate.13118186.v1
title: Data resources for 'Far Beyond Post-Secondary: Longitudinal analyses of topic and citation networks in the field of Higher Education Studies'

description: Term document matrices for <i>Far Beyond Post-Secondary: Longitudinal analyses of topic and citation networks in the field of Higher Education Studies. </i>
DOI: 10.21227/6a8e-w474
title: Amiri-TSC-2020

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.5281/zenodo.4121990
title: How the effects of actions become our own

description: Every day, we do things that cause effects in the outside world with little doubt about who caused what. To some, this sense of agency derives from a post hoc reconstruction of a likely causal relationship between an event and our preceding movements; others propose that the sense of agency originates from prospective comparisons of motor programs and their effects. Using functional magnetic resonance imaging, we found that the sense of agency is associated with a brain network including the pre–supplementary motor area (SMA) and dorsal parietal cortex. Transcranial magnetic stimulation affected the sense of agency only when delivered over the pre-SMA and specifically when time-locked to action planning, rather than when the physical consequences of the actions appeared. These findings make a prospective theory of the sense of agency more likely.
DOI: 10.5281/zenodo.4121989
title: How the effects of actions become our own

description: Every day, we do things that cause effects in the outside world with little doubt about who caused what. To some, this sense of agency derives from a post hoc reconstruction of a likely causal relationship between an event and our preceding movements; others propose that the sense of agency originates from prospective comparisons of motor programs and their effects. Using functional magnetic resonance imaging, we found that the sense of agency is associated with a brain network including the pre–supplementary motor area (SMA) and dorsal parietal cortex. Transcranial magnetic stimulation affected the sense of agency only when delivered over the pre-SMA and specifically when time-locked to action planning, rather than when the physical consequences of the actions appeared. These findings make a prospective theory of the sense of agency more likely.
DOI: 10.21227/qe9c-8b53
title: Amiri-TSC-2020

description: Context:Various patterns of dynamic routing architectures are used in service- and cloud-based environments, including sidecar-based routing, routing through a central entity such as an event store, or architectures with multiple dynamic routers.Objective:Choosing the wrong architecture may severely impact the reliability or performance of a software system. This article’s objective is to provide models and empirical evidence to precisely estimate the reliability and performance impacts.Method:We propose an analytical model of request loss for reliability modeling. We studied the accuracy of this model’s predictions empirically and calculated the error rate in 200 experiment runs, during which we measured the round-trip time performance and created a performance model based on multiple regression analysis. Finally, we systematically analyzed the reliability and performance impacts and trade-offs.Results and Conclusions:The comparison of the empirical data to the reliability model’s predictions shows a low enough and converging error rate for using the model during system architecting. The predictions of the performance model show that distributed approaches for dynamic data routing have a better performance compared to centralized solutions. Our results provide important new insights on dynamic routing architecture decisions to precisely estimate the trade-off between system reliability and performance.
DOI: 10.7273/gjg0-p174
title:  Thermal tolerance and thermal preference of the copepod Tigriopus californicus are insensitive to dissolved oxygen levels