cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4147995
title: Stars Stripped in Binaries: The Living Gravitational-wave Sources

description: Binary interaction can cause stellar envelopes to be stripped, which significantly reduces the radius of the star. The orbit of a binary composed of a stripped star and a compact object can therefore be so tight that the gravitational radiation the system produces reaches frequencies accessible to the Laser Interferometer Space Antenna (LISA). Two such stripped stars in tight orbits with white dwarfs are known so far (ZTF J2130+4420 and CD−30°11223), but many more are expected to exist. These binaries provide important constraints for binary evolution models and may be used as LISA verification sources. We develop a Monte Carlo code that uses detailed evolutionary models to simulate the Galactic population of stripped stars in tight orbits with either neutron star or white dwarf companions. We predict 0–100 stripped star + white dwarf binaries and 0–4 stripped star + neutron star binaries with a signal-to-noise ratio &gt;5 after 10 yr of observations with LISA. More than 90% of these binaries are expected to show large radial velocity shifts of \(\gtrsim\)200 km s<sup>-1</sup>, which are spectroscopically detectable. Photometric variability due to tidal deformation of the stripped star is also expected and has been observed in ZTF J2130+4420 and CD−30°11223. In addition, the stripped star + neutron star binaries are expected to be X-ray bright with L<sub>X</sub> \(\gtrsim\) 10<sup>33</sup>–10<sup>36</sup> erg s<sup>-1</sup>. Our results show that stripped star binaries are promising multimessenger sources for the<br> upcoming electromagnetic and gravitational wave facilities. We provide detailed information about the run presented in Figures 2, 4, and 5 in the file named "entire_population_64.txt". We also provide information about sources with SNR &gt; 4 in "pop_SNR4.txt" for 1000 runs of our standard model. The Jupyter notebook "Reading_stripped_star_compact_object_population.ipynb" reproduces figures of the manuscript and the Jupyter notebook "living_population.ipynb" shows how we model the Galactic population of stripped stars in tight orbit with compact objects.
DOI: 10.5281/zenodo.4147994
title: Stars Stripped in Binaries: The Living Gravitational-wave Sources

description: Binary interaction can cause stellar envelopes to be stripped, which significantly reduces the radius of the star. The orbit of a binary composed of a stripped star and a compact object can therefore be so tight that the gravitational radiation the system produces reaches frequencies accessible to the Laser Interferometer Space Antenna (LISA). Two such stripped stars in tight orbits with white dwarfs are known so far (ZTF J2130+4420 and CD−30°11223), but many more are expected to exist. These binaries provide important constraints for binary evolution models and may be used as LISA verification sources. We develop a Monte Carlo code that uses detailed evolutionary models to simulate the Galactic population of stripped stars in tight orbits with either neutron star or white dwarf companions. We predict 0–100 stripped star + white dwarf binaries and 0–4 stripped star + neutron star binaries with a signal-to-noise ratio &gt;5 after 10 yr of observations with LISA. More than 90% of these binaries are expected to show large radial velocity shifts of \(\gtrsim\)200 km s<sup>-1</sup>, which are spectroscopically detectable. Photometric variability due to tidal deformation of the stripped star is also expected and has been observed in ZTF J2130+4420 and CD−30°11223. In addition, the stripped star + neutron star binaries are expected to be X-ray bright with L<sub>X</sub> \(\gtrsim\) 10<sup>33</sup>–10<sup>36</sup> erg s<sup>-1</sup>. Our results show that stripped star binaries are promising multimessenger sources for the<br> upcoming electromagnetic and gravitational wave facilities. We provide detailed information about the run presented in Figures 2, 4, and 5 in the file named "entire_population_64.txt". We also provide information about sources with SNR &gt; 4 in "pop_SNR4.txt" for 1000 runs of our standard model. The Jupyter notebook "Reading_stripped_star_compact_object_population.ipynb" reproduces figures of the manuscript and the Jupyter notebook "living_population.ipynb" shows how we model the Galactic population of stripped stars in tight orbit with compact objects.
DOI: 10.17632/v6m7br9vc3.1
title: Data for: Video Object Segmentation Based on Motion-Aware ROI Prediction and Adaptive Reference Updating

description: This contains experimental data for this article, including DAVIS 2017, DAVIS 2016 segmentation results and adaptive reference frame update process. In order to verify the validity of our algorithm, we also added the experimental results of the largest video object segmentation dataset YoutubeVOS.
DOI: 10.17632/czf7f53xt5.1
title: Data for: The Ins and Outs of Involuntary Part-time Employment

description: Data of: The Ins and Outs of Involuntary Part-time Employment The content of each *_baseline MS Excel data file is as follows: time series of seasonally-adjusted stocks (normalized by the corresponding population size), and time-series of seasonally-adjusted transition probabilities, corrected for margin error and time aggregation bias. The content of each *_reclassified MS Excel data file is identical but transition probabilities are in addition adjusted for potentially spurious transitions. The data run from January 1976 through December 2019. Variable names: • F: Full-time employment. • V: Voluntary part-time employment. • I: Involuntary part-time employment. • S: Involuntary part-time employment, slack work. • C: Involuntary part-time employment, cannot find full-time job. • U: Unemployment. • N: Non-participation. • j_k: Transition probability from j to k. • Y: Year. • M: Month. Description of data files: • all_baseline.xls and all_reclassified.xls: time series for the working-age population. • men_baseline.xls and men_reclassified.xls: time series for working-age men. • women_baseline.xls and women_reclassified.xls: time series for working-age women.
DOI: 10.6084/m9.figshare.13158098
title: Aligning geographic entities from historical maps for building knowledge graphs

description: This is the data and codes that support the findings of the IJGIS paper "Aligning geographic entities from historical maps for building knowledge graphs".
DOI: 10.6084/m9.figshare.13158098.v1
title: Aligning geographic entities from historical maps for building knowledge graphs

description: This is the data and codes that support the findings of the IJGIS paper "Aligning geographic entities from historical maps for building knowledge graphs".
DOI: 10.25345/c5z490
title: MassIVE MSV000086380 - Mouse_Brain_Alzheimers_Phosphoproteomics(6months)
title: Multiplexed quantitative phospho-proteomics of mouse brains from 6 month old mice harboring Alzheimers disease linked mutations.
DOI: 10.5281/zenodo.3854959
title: Code Review for Conformance to Project Coding Style? Revisit using OpenStack Patches

description: This is a dataset of the paper name "Code Review for Conformance to Project Coding Style? Revisit using OpenStack Patches". It is used for the peer review process in SANER 2021
DOI: 10.5281/zenodo.3854958
title: Code Review for Conformance to Project Coding Style? Revisit using OpenStack Patches

description: This is a dataset of the paper name "Code Review for Conformance to Project Coding Style? Revisit using OpenStack Patches". It is used for the peer review process in SANER 2021
DOI: 10.6084/m9.figshare.12045582.v10
title: Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals

description: Supplementary tables for the Paper published
DOI: 10.6084/m9.figshare.12973055.v1
title: Dataset for methane combustion

description: The dataset contains 578,731 structures for methane combustion and their energies and forces under MN15/6-31G** level.
DOI: 10.26195/bf5n-0n94
title: Flow field around a circular bridge pier with an upstream triangular prism using Particle Image Velocimetry

description: To study the flow field around a circular bridge pier with an upstream flow diversion structure (FDS), Particle Image Velocimetry (PIV) technique was employed. Velocity components at a vicinity of a pier with an upstream FDS under different submergence ratio were measured. The measurements were made with a single pier case, and a single pier with the FDS at the upstream with H/y = 0.25, 0.5, 0.75, and >1. The streamwise (u) and vertical (w) velocity components were determined from analysis of the PIV images collected during the individual experiments. Further analyses were carried out by a developed code in MATLAB and the results were stored in txt files. The outcomes include: Normalised Streamwise Velocity Component (u/V) Normalised Vertical Velocity Component (w/V) Normalised Turbulence Intensity Components (TIu/V and TIw/V) Normalised Turbulent Kinetic Energy (TKE/V2) Normalised Reynolds Shear Stress (u^' w^' ) / V^2
DOI: 10.5281/zenodo.4151380
title: Targeted Intracellular Degradation of SARS-CoV-2 via Computationally-Optimized Peptide Fusions

description: The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With only a few vaccines approved for early or limited use, there is a critical need for effective antiviral strategies. In this study, we report a unique antiviral platform, through computational design of ACE2-derived peptides which both target the viral spike protein receptor binding domain (RBD) and recruit E3 ubiquitin ligases for subsequent intracellular degradation of SARS-CoV-2 in the proteasome. Our engineered peptide fusions demonstrate robust RBD degradation capabilities in human cells and are capable of inhibiting infection-competent viral production, thus prompting their further experimental characterization and therapeutic development.
DOI: 10.5281/zenodo.4151379
title: Targeted Intracellular Degradation of SARS-CoV-2 via Computationally-Optimized Peptide Fusions

description: The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With only a few vaccines approved for early or limited use, there is a critical need for effective antiviral strategies. In this study, we report a unique antiviral platform, through computational design of ACE2-derived peptides which both target the viral spike protein receptor binding domain (RBD) and recruit E3 ubiquitin ligases for subsequent intracellular degradation of SARS-CoV-2 in the proteasome. Our engineered peptide fusions demonstrate robust RBD degradation capabilities in human cells and are capable of inhibiting infection-competent viral production, thus prompting their further experimental characterization and therapeutic development.
DOI: 10.6084/m9.figshare.13158434
title: The poop scoop: Domestic dog (Canis lupus familiaris) fecal matter disturbance on urban mammals’ presence.

description: Raw data sheet with data included from transects.
DOI: 10.6084/m9.figshare.13158434.v1
title: The poop scoop: Domestic dog (Canis lupus familiaris) fecal matter disturbance on urban mammals’ presence.

description: Raw data sheet with data included from transects.
DOI: 10.6084/m9.figshare.12318644
title: Data source for real time dispatch model considering frequency regulation behaviors.zip

description: We use IEEE 30-bus system and practical 661-bus utility system to verify the effectiveness of the proposed real rime dispatch model. The data of the IEEE 30-bus system has been uploaded. Due to the data privacy, we have not uploaded the data source of practical 661-bus utility system.
DOI: 10.6084/m9.figshare.12318644.v3
title: Data source for real time dispatch model considering frequency regulation behaviors.zip

description: We use IEEE 30-bus system and practical 661-bus utility system to verify the effectiveness of the proposed real rime dispatch model. The data of the IEEE 30-bus system has been uploaded. Due to the data privacy, we have not uploaded the data source of practical 661-bus utility system.
DOI: 10.6084/m9.figshare.12318644.v2
title: Data source for real time dispatch model considering frequency regulation behaviors.zip

description: We use IEEE 30-bus system and practical 661-bus utility system to verify the effectiveness of the proposed real rime dispatch model. The data of the IEEE 30-bus system has been uploaded. Due to the data privacy, we have not uploaded the data source of practical 661-bus utility system.
DOI: 10.18112/openneuro.ds003346.v1.0.0
title: SUDMEX_TMS: The Mexican dataset of an rTMS clinical trial on cocaine use disorder patients.
DOI: 10.21951/themmapseries_fy20/1668703
title: Thematic Map Series: U.S. Hydropower and Environmental Mitigation

description: This thematic map series provides the distribution of the various environmental mitigations across hydropower plants within the US.
DOI: 10.6084/m9.figshare.13158437.v1
title: Genome sequences of two K. pneumoniae strains coharboring plasmid-encoded carbapenemase genes and tmexCD1-toprJ1 recovered from human infections

description: Complete genomes of two <i>tmexCD1</i>-<i>toprJ1</i> positive strains KP19-3088 and KP19-3023 were finished with <i>de novo</i> hybrid assembly strategy and provided here for reference.
DOI: 10.6084/m9.figshare.13158437
title: Genome sequences of two K. pneumoniae strains coharboring plasmid-encoded carbapenemase genes and tmexCD1-toprJ1 recovered from human infections

description: Complete genomes of two <i>tmexCD1</i>-<i>toprJ1</i> positive strains KP19-3088 and KP19-3023 were finished with <i>de novo</i> hybrid assembly strategy and provided here for reference.
DOI: 10.6084/m9.figshare.13158140
title: R0169_20170516a_videos

description: Rat 0169, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13158140.v2
title: R0169_20170516a_videos

description: Rat 0169, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13158140.v1
title: R0169_20170516a_videos

description: Rat 0169, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13158458
title: Reference-grade genome sequences and annotations of three diploid cotton species

description: The reference -grade cotton genome assemblies and annotation of Gossypium rotundifolium (<sub>K2</sub>), <i>G. arboreum</i> (<sub>A2</sub>) and <i>G. raimondii </i>(<sub>D5</sub>) using Oxford Nanopore sequencing technology.
DOI: 10.18112/openneuro.ds003346.v1.0.1
title: SUDMEX_TMS: The Mexican dataset of an rTMS clinical trial on cocaine use disorder patients.
DOI: 10.18112/openneuro.ds003346.v1.1.0
title: SUDMEX_TMS: The Mexican dataset of an rTMS clinical trial on cocaine use disorder patients.
DOI: 10.6084/m9.figshare.13019966.v3
title: FaceBold

description: The preprocessed fMRI data of the FaceBold dataset.
DOI: 10.6084/m9.figshare.12318425
title: Data and codes of "Behavioral responses of Japanese macaques to playback-simulated intergroup encounters"

description: (1) "<b>data_coo.csv</b>": data on coo calling(2) "<b>data_vs.csv</b>": data on visual scanning(3) "<b>data_prox.csv</b>": data on the maximum number of group members within sight (a measure of the group cohesion)(4) "<b>code_coo.stan</b>": Stan file for modeling coo calling(5) "<b>code_vs.stan</b>": Stan file for modeling visual scanning(6) "<b>code_prox.stan</b>": Stan file for modeling group cohesion(7) "<b>playback_stan.R</b>": R file for running the three models(8) "<b>summary_fit_coo.csv</b>": csv output for the summary of the posterior distributions for the model on coo calling(9) "<b>summary_fit_vs.csv</b>": csv output for the summary of the posterior distributions for the model on visual scanning<br>(10) "<b>summary_fit_prox.csv</b>": csv output for the summary of the posterior distributions for the model on group cohesion<br>
DOI: 10.17632/x6hv4nw8yh.1
title: Data for: Validating Simulated Mountain Wave Impacts on Hub-Height Wind Speed Using SoDAR Observations

description: This dataset contains the original data that were used to generate all the figures, tables and statistics in this paper
DOI: 10.6084/m9.figshare.13141328
title: Ha et al. 2020

description: Data and scripts to reproduce data presented in Ha et al. 2020. Any issues please contact us at k.ha@mail.utoronto.ca
DOI: 10.6084/m9.figshare.13159190.v1
title: Additional file 1 of Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling

description: Additional file 1 : Table S1. The 26 stem gene sets used for identification of BLCA subtype. BLCA: Bladder cancer. Figure S1. Clustering heat map of stem cell subtype in (A) E-MTAB-4321, (B) GSE13507, (C) GSE31684, (D) GSE32548, and (E) GSE32894. Figure S2. Evaluation of immune cell infiltration level, tumor purity, and stromal content in BLCA. (A–F) Immune score, (G–L) stromal score (stromal content), and (M–R) tumor purity in all six datasets. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001; ns means not significant. BLCA: bladder cancer. Figure S3. Comparisons of the expression levels of immune-related genes between BLCA subtypes. (A–C) Expression levels of HLA genes between BLCA subtypes in TCGA, E-MTAB-4321 and GSE32894. (D–E) Expression levels of immune cell subgroup marker genes between BLCA subtypes. Kruskal–Wallis test, *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001; ns means not significant. BLCA: bladder cancer. Figure S4. Difference analysis of 22 human immune cell subgroups of BLCA stem cell subtypes in CIBERSORT. Immune cell subgroups with significant differences in BLCA stem cell subtypes in (A) TCGA, (B) GSE32894, (C) GSE31684, (D) E-MTAB-4321, (E) GSE13507, and (F) GSE32548 cohort with CIBERSORT. Fraction of different immune cell subgroups among the four subtypes evaluated using Kruskal–Wallis tests, * P &lt; 0.05, ** P &lt; 0.01, *** P &lt; 0.001. Kaplan–Meier survival curve based on median ssGSEA score for (G) TCGA, (H) GSE13507, (I) GSE32548, and (J) GSE32894, and best cut-off for (K) E-MTAB-4321 cohort in OS for macrophage M0, together with median ssGSEA score for (L) TCGA in OS for macrophage M2. BLCA: bladder cancer; TCGA: The Cancer Genome Atlas. Table S2. Univariate Cox analysis for all six datasets. Table S3. GSEA for BLCA stem cell subtypes.
DOI: 10.25345/c5tf5b
title: MassIVE MSV000086381 - GNPS - Trachymyrmex septentrionalis fungus gardens - NJ2017-NC2019
title: DCM:MeOH 2:1 extracts from Trachymyrmex septentrionalis fungus gardens collected during sampling trips in New Jersey (2017) and North Carolina (2019). LC-MS/MS was performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 um C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. Data was acquired in positive ion mode.
DOI: 10.5281/zenodo.4146931
title: Replication Package for the Paper: "An Empirical Analysis of the Manual Detection of Code Smells via Code Review"

description: This repository contains the data and results from the paper "An Empirical Analysis of the Manual Detection of Code Smells via Code Review" submitted to SANER 2021. <strong>1. "data.zip" file contains the following three folders: </strong> <strong>1). data folder</strong> The data folder contains the retrieved 1,174 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell, Code Smell Discussion, and Source Code URL. <strong>2). scripts folder</strong> The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms. <em>keywords.txt</em> contains the keywords keywords asociated with code smells, such as "smell, duplication, and dead". <em>get_changes.py</em> is used for getting code changes from OpenStack. <em>get_comments.py</em> is used for getting review comments for each code change. <em>keywords_search.py</em> is used for searching review comments that contain at least one keyword. keywords_improve.py is used for improving the keyword-based mining approach. tools.py is used for supporting the process of keywords improving. <strong>3). project folder</strong> The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool. <em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool. <strong>2. Keywords associated with code smells.pdf</strong> This file contains the final set of keywords asociated with code smells that we identified by following the systematic approach proposed by Bosu and his colleagues in their paper: Identifying the Characteristics of Vulnerable Code Changes: An Empirical Study, FSE 2014.
DOI: 10.5281/zenodo.4146930
title: Replication Package for the Paper: "An Empirical Analysis of the Manual Detection of Code Smells via Code Review"

description: This repository contains the data and results from the paper "An Empirical Analysis of the Manual Detection of Code Smells via Code Review" submitted to SANER 2021. <strong>1. "data.zip" file contains the following three folders: </strong> <strong>1). data folder</strong> The data folder contains the retrieved 1,174 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell, Code Smell Discussion, and Source Code URL. <strong>2). scripts folder</strong> The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms. <em>keywords.txt</em> contains the keywords keywords asociated with code smells, such as "smell, duplication, and dead". <em>get_changes.py</em> is used for getting code changes from OpenStack. <em>get_comments.py</em> is used for getting review comments for each code change. <em>keywords_search.py</em> is used for searching review comments that contain at least one keyword. keywords_improve.py is used for improving the keyword-based mining approach. tools.py is used for supporting the process of keywords improving. <strong>3). project folder</strong> The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool. <em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool. <strong>2. Keywords associated with code smells.pdf</strong> This file contains the final set of keywords asociated with code smells that we identified by following the systematic approach proposed by Bosu and his colleagues in their paper: Identifying the Characteristics of Vulnerable Code Changes: An Empirical Study, FSE 2014.