cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23681907
title: Scientific Workflow Management System List

description: We have collected a comprehensive list of SWfMSs for conducting our research. We encountered difficulties in identifying posts and GitHub issues related to scientific workflows. We discussed them in the paper. Consequently, we found it necessary to compile a list of scientific workflow management systems. To validate the list, we employed multiple approaches for validation.
DOI: 10.6084/m9.figshare.23681907.v1
title: Scientific Workflow Management System List

description: We have collected a comprehensive list of SWfMSs for conducting our research. We encountered difficulties in identifying posts and GitHub issues related to scientific workflows. We discussed them in the paper. Consequently, we found it necessary to compile a list of scientific workflow management systems. To validate the list, we employed multiple approaches for validation.
DOI: 10.6084/m9.figshare.23674629
title: Scientific Workflow related issues in GitHub Projects

description: This dataset contains the issue list related to SWs and SWfMSs, we obtain using GitHub Rest API
DOI: 10.25340/r4/uj8gky
title: Related Data for Thesis/Dissertation: Rotating magnetic field driven plasma engine for space propulsion

description: The development of thrusters for spacecraft has seen a tremendous growth and the number of spacecraft including small satellites and CubeSats has been increasing exponentially over the past several decades. Electric thrusters flourish where traditional chemical thrusters fail to meet requirements. The advent of electric thrusters has helped humans travel further from Earth and has the potential to be developed for interstellar flights due to their advantages such as high velocity increments, long operational lifetimes, high impulse-to-weight ratios and high impulse-to-power ratios. In this work, a Rotating Magnetic Field (RMF) driven plasma engine is developed based on a technique in a compact torus configuration – rotamak, initially proposed for controlled thermonuclear fusion. Its potential in electric propulsion is applied to design a small electrodeless space thruster. Crucial mechanisms were researched and elucidated in the rotamak, i.e. the RMF, the driven current and the Field Reversed Configuration (FRC). The driven azimuthal current was reached 2 kA with a total RMF power of 400 W and the argon plasma density was 6.0 ×1018 m3. However, the production, confinement and acceleration of plasma in a small thruster with a length of 15 cm is challenging. Substantial multifarious physical characterisations were conducted and a well-developed measurement system was designed and built. The electrical and optical properties, characterisation of the plasma plume, and performance of the thruster prototype were studied by various techniques and plasma diagnostics. With the application of the rotamak technique, a relatively high-density (over 1019 m−3) and low-temperature (about 1 eV) krypton plasma was built in the thruster and worked under a low total power of 200~400 W, with a long pulse of up to dozens of seconds. Plasma coupling efficiency up to 70% was achieved resulting in most of the ions having energy higher than 2500 eV.
DOI: 10.6084/m9.figshare.21514644
title: Inter- and intraspecific trait variability differentially affect community-weighted trait responses to and recovery from long-term drought

description: 1. Plant traits are useful proxies of plant strategies and can influence community and ecosystem responses to climate extremes, such as severe drought. Few studies, however, have investigated both the immediate and lagged effects of drought on community-weighted mean (CWM) plant traits, with even less research on the relative roles of inter- <em>vs.</em> intraspecific trait variability in such responses. 2. We experimentally reduced growing season precipitation by 66% in two cold-semiarid grassland sites in northern China for four consecutive years to explore the drought resistance of CWM traits as well as their recovery two years following the drought. Additionally, we isolated the effects of both inter- and intraspecific trait variability on shifts in CWM traits. 3. At both sites, we observed significant effects of drought on inter- and intraspecific trait variability which, in some cases, led to significant changes in CWM traits. For example, drought led to reduced CWM plant height and leaf phosphorous content, but increased leaf carbon content at both sites, with responses primarily due to intraspecific trait shifts. Surprisingly, these CWM traits recovered completely two years after the extreme drought. Intraspecific trait variability influenced CWM traits via both positive and negative covariation with interspecific trait variability during drought and recovery phases. 4. These findings highlight the important role of inter- and intraspecific trait variability in driving the response and recovery of CWM traits following extreme, prolonged drought.
DOI: 10.6084/m9.figshare.21514644.v2
title: Inter- and intraspecific trait variability differentially affect community-weighted trait responses to and recovery from long-term drought

description: 1. Plant traits are useful proxies of plant strategies and can influence community and ecosystem responses to climate extremes, such as severe drought. Few studies, however, have investigated both the immediate and lagged effects of drought on community-weighted mean (CWM) plant traits, with even less research on the relative roles of inter- <em>vs.</em> intraspecific trait variability in such responses. 2. We experimentally reduced growing season precipitation by 66% in two cold-semiarid grassland sites in northern China for four consecutive years to explore the drought resistance of CWM traits as well as their recovery two years following the drought. Additionally, we isolated the effects of both inter- and intraspecific trait variability on shifts in CWM traits. 3. At both sites, we observed significant effects of drought on inter- and intraspecific trait variability which, in some cases, led to significant changes in CWM traits. For example, drought led to reduced CWM plant height and leaf phosphorous content, but increased leaf carbon content at both sites, with responses primarily due to intraspecific trait shifts. Surprisingly, these CWM traits recovered completely two years after the extreme drought. Intraspecific trait variability influenced CWM traits via both positive and negative covariation with interspecific trait variability during drought and recovery phases. 4. These findings highlight the important role of inter- and intraspecific trait variability in driving the response and recovery of CWM traits following extreme, prolonged drought.
DOI: 10.6084/m9.figshare.21514644.v1
title: Inter- and intraspecific trait variability differentially affect community-weighted trait responses to and recovery from long-term drought

description: 1. Plant traits are useful proxies of plant strategies and can influence community and ecosystem responses to climate extremes, such as severe drought. Few studies, however, have investigated both the immediate and lagged effects of drought on community-weighted mean (CWM) plant traits, with even less research on the relative roles of inter- <em>vs.</em> intraspecific trait variability in such responses. 2. We experimentally reduced growing season precipitation by 66% in two cold-semiarid grassland sites in northern China for four consecutive years to explore the drought resistance of CWM traits as well as their recovery two years following the drought. Additionally, we isolated the effects of both inter- and intraspecific trait variability on shifts in CWM traits. 3. At both sites, we observed significant effects of drought on inter- and intraspecific trait variability which, in some cases, led to significant changes in CWM traits. For example, drought led to reduced CWM plant height and leaf phosphorous content, but increased leaf carbon content at both sites, with responses primarily due to intraspecific trait shifts. Surprisingly, these CWM traits recovered completely two years after the extreme drought. Intraspecific trait variability influenced CWM traits via both positive and negative covariation with interspecific trait variability during drought and recovery phases. 4. These findings highlight the important role of inter- and intraspecific trait variability in driving the response and recovery of CWM traits following extreme, prolonged drought.
DOI: 10.6084/m9.figshare.23721894
title: Study on the permanent deformation of alluvial silt of the Yellow River under cyclic loading

description: In this study, a series of cyclic triaxial tests were conducted on silt with varying moisture contents.
DOI: 10.6084/m9.figshare.23721894.v1
title: Study on the permanent deformation of alluvial silt of the Yellow River under cyclic loading

description: In this study, a series of cyclic triaxial tests were conducted on silt with varying moisture contents.
DOI: 10.34740/kaggle/dsv/6169562
title: Nepse floorsheet data
DOI: 10.5517/ccdc.csd.cc24x2lr
title: CCDC 1993194: Experimental Crystal Structure Determination

description: Related Article: Ziyi Guo, Yue Yin, Xiao-Cong Xu, Chang-Qing Liu, Jitan Zhang, Meihua Xie|2023|J.Org.Chem.|88|9488|doi:10.1021/acs.joc.3c00530
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29f7vv
title: CCDC 2127897: Experimental Crystal Structure Determination

description: Related Article: Gangarajulu Kesavulu, Biguvu Balachandra, Kavirayani R. Prasad|2023|Org.Lett.|25|5168|doi:10.1021/acs.orglett.3c01969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c48wp
title: CCDC 2178862: Experimental Crystal Structure Determination

description: Related Article: Gangarajulu Kesavulu, Biguvu Balachandra, Kavirayani R. Prasad|2023|Org.Lett.|25|5168|doi:10.1021/acs.orglett.3c01969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3nz5
title: CCDC 2208067: Experimental Crystal Structure Determination

description: Related Article: Gangarajulu Kesavulu, Biguvu Balachandra, Kavirayani R. Prasad|2023|Org.Lett.|25|5168|doi:10.1021/acs.orglett.3c01969
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7544617
title: Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field

description: OpenFF Industry Public Dataset optimized at the (1) B3LYP-D3BJ / TDZP; (2) OpenFF-2.0.0; (3) Gaff-2.11-AM1BCC; (3) OPLS4 + default parameters; (4) OPLS4 + custom parameters. Note: The optimization carried out with OPLS4 including both default and custom parameters was carried out using the ffld_server to include virtual site.
DOI: 10.6084/m9.figshare.23721912
title: Thermodynamic Modeling of Calcium or Magnesium Chloride, Chlorate, and Perchlorate Ternary Mixtures Deliquescence at Mars-Relevant Temperatures

description: Data for the figures and results in the publication Thermodynamic Modeling of Calcium or Magnesium Chloride, Chlorate, and Perchlorate Ternary Mixtures Deliquescence at Mars-Relevant Temperatures by Slank and Chevrier.
DOI: 10.6084/m9.figshare.23721912.v1
title: Thermodynamic Modeling of Calcium or Magnesium Chloride, Chlorate, and Perchlorate Ternary Mixtures Deliquescence at Mars-Relevant Temperatures

description: Data for the figures and results in the publication Thermodynamic Modeling of Calcium or Magnesium Chloride, Chlorate, and Perchlorate Ternary Mixtures Deliquescence at Mars-Relevant Temperatures by Slank and Chevrier.
DOI: 10.5281/zenodo.8170372
title: HCIV User Evaluation Survey Questions and Results

description: Survey questions and anonymous data collected from a user evaluation of the Human Centric Issue Visualiser (HCIV).
DOI: 10.5281/zenodo.8170371
title: HCIV User Evaluation Survey Questions and Results

description: Survey questions and anonymous data collected from a user evaluation of the Human Centric Issue Visualiser (HCIV).
DOI: 10.5517/ccdc.csd.cc2ffypj
title: CCDC 2247738: Experimental Crystal Structure Determination

description: Related Article: Mateo Alajarin, Guillermo Cutillas-Font, Carmen Lopez-Leonardo, Raul-Angel Orenes, Marta Marin-Luna, Aurelia Pastor|2023|J.Org.Chem.|88|8658|doi:10.1021/acs.joc.3c00558
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8170354
title: MSMS test datasets

description: MSMS test dataset for some visualization testing
DOI: 10.5281/zenodo.8170353
title: MSMS test datasets

description: MSMS test dataset for some visualization testing
DOI: 10.5281/zenodo.7868239
title: China daily near surface average temperature

description: The data is daily near-surface average temperatures across China from 1979 to 2017. The spatial resolution is 0.5°x0.5°. The original data source is observations from more than 2000 meteorological stations in China.
DOI: 10.5281/zenodo.8153849
title: Datasets for "Generic and robust root cause localization for multi-dimensional data in online service systems"

description: For simulation datasets, the ground-truth root causes are in <code>injection_info.csv</code> in each subfolder. For injection datasets, each subdirectory contains monitoring data for one fault injection. Their ground-truth root causes are indicated by the subdirectory names. <br> NetManAIOps/PSqueeze (github.com)
DOI: 10.5281/zenodo.8153848
title: Datasets for "Generic and robust root cause localization for multi-dimensional data in online service systems"

description: For simulation datasets, the ground-truth root causes are in <code>injection_info.csv</code> in each subfolder. For injection datasets, each subdirectory contains monitoring data for one fault injection. Their ground-truth root causes are indicated by the subdirectory names. <br> NetManAIOps/PSqueeze (github.com)
DOI: 10.6084/m9.figshare.23722023
title: Habitat suitability correlates with mean population fitness of a threatened marsupial predator

description: Raw data used in study to correlate northern quoll habitat suitability with measures of mean population fitness.
DOI: 10.26180/23632293
title: Mild non-invasive brain stimulation for apathy in Huntington's disease

description: Randomized and counterbalanced sequence of three sessions of transcranial alternating current stimulation (tACS) conducted at least 72 hours apart, with details as follows:<br> 1) 20 minutes and 2mA at the participants peak individualised alpha frequency;<br> 2) 20 minutes and 2mA at 2Hz (delta frequency);<br> 3) 20 minutes of sham (placebo) with 30 seconds 'fade in' followed by an immediate 30 seconds 'fade out'.<br> TACS is administered using a Startstim wireless hybrid electroencephalography(EEG)/transcranial current stimulation 8-channel system (Neuroelectrics, Spain).<br> EEG obtained via a 50-channel Neuroscan EEG system.<br> All data collection (baseline measures, resting and task-related EEG) and tACS administration is conducted by Marie-Claire Davis (Registered Psychologist with practice endorsement in Clinical Neuropsychology and PhD candidate).
description: HeSANDA 1.0.0
DOI: 10.6084/m9.figshare.23722038.v1
title: Species Results

description: This file contains results of tests of geographic and environmental coverage of species ranges by study areas. P-values are from Wilcoxon tests to determine if study areas are representative of species ranges. Differences between maximum and minimum values of study areas and species ranges are given, which were used to determine edge coverage. Latitudinal edge coverage was done manually, with the results given as Y or N. Y indicates coverage, N indicates a lack of coverage. Units of latitude are degrees latitude, units of elevation are meters, and units of temperature (bio1) are degrees celcius.
DOI: 10.25345/c50v89t2m
title: MassIVE MSV000092493 - HtrA, fatty acid-lipid composition, and membrane proteins interplay in Chlamydia trachomatis to impact on developmental cycle phases
title: Chlamydia trachomatis is an intracellular bacterial pathogen that undergoes a bi-phasic developmental cycle, consisting of intracellular reticulate bodies and extracellular infectious elementary bodies. Chlamydia HtrA has previously been shown as essential for the reticulate body phase of the cycle using an inhibitor. Here, isolates selected for reduced susceptibility to this HtrA inhibitor were found to have polymorphisms in AasC (responsible for activating fatty acids). The isolates had distinct lipid compositions, including reduction in those HtrA preferentially binds. Increased abundance of membrane proteins and HtrA (not mediated via transcription) was also detected. Phenotypic impacts of reduced progeny production, and a shortened developmental cycle were observed in the variants. Transcriptome analysis demonstrated lower levels of several mid and late cycle genes in the variants. This is the first evidence that fatty acid composition of lipids, HtrA, and membrane proteins interplay and may impact on developmental cycle phases.
DOI: 10.5281/zenodo.7196702
title: Entrain_example_brain_dataset

description: Single-cell RNA sequencing dataset of the developing mouse brain at E10 and E11, produced by [1], and processed by [2]. Data has been subset to E10 and E11 and subsampled to 5% of original cells. RNA Velocity matrix has been run on this dataset, using scvelo [3] workflow. [1] La Manno G, Siletti K, Furlan A, Gyllborg D, Vinsland E, Mossi Albiach A, Mattsson Langseth C, Khven I, Lederer AR, Dratva LM, et al: <strong>Molecular architecture of the developing mouse brain.</strong> <em>Nature </em>2021, <strong>596:</strong>92-96. [2] Abdelaal T, Lelieveldt BPF, Reinders MJT, Mahfouz A: <strong>SIRV: Spatial inference of RNA velocity at the single-cell resolution.</strong> <em>bioRxiv </em>2021<strong>:</strong>2021.2007.2026.453774. [3] Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ: <strong>Generalizing RNA velocity to transient cell states through dynamical modeling.</strong> <em>Nature Biotechnology </em>2020, <strong>38:</strong>1408-1414.
DOI: 10.5281/zenodo.7197047
title: Entrain_example_brain_dataset

description: Single-cell RNA sequencing dataset of the developing mouse brain at E10 and E11, produced by [1], and processed by [2]. Data has been subset to E10 and E11 and subsampled to 5% of original cells. RNA Velocity matrix has been run on this dataset, using scvelo [3] workflow. [1] La Manno G, Siletti K, Furlan A, Gyllborg D, Vinsland E, Mossi Albiach A, Mattsson Langseth C, Khven I, Lederer AR, Dratva LM, et al: <strong>Molecular architecture of the developing mouse brain.</strong> <em>Nature </em>2021, <strong>596:</strong>92-96. [2] Abdelaal T, Lelieveldt BPF, Reinders MJT, Mahfouz A: <strong>SIRV: Spatial inference of RNA velocity at the single-cell resolution.</strong> <em>bioRxiv </em>2021<strong>:</strong>2021.2007.2026.453774. [3] Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ: <strong>Generalizing RNA velocity to transient cell states through dynamical modeling.</strong> <em>Nature Biotechnology </em>2020, <strong>38:</strong>1408-1414.
DOI: 10.5281/zenodo.7197220
title: Entrain_example_brain_dataset

description: Single-cell RNA sequencing dataset of the developing mouse brain at E10 and E11, produced by [1], and processed by [2]. Data has been subset to E10 and E11 and subsampled to 5% of original cells. RNA Velocity matrix has been run on this dataset, using scvelo [3] workflow. [1] La Manno G, Siletti K, Furlan A, Gyllborg D, Vinsland E, Mossi Albiach A, Mattsson Langseth C, Khven I, Lederer AR, Dratva LM, et al: <strong>Molecular architecture of the developing mouse brain.</strong> <em>Nature </em>2021, <strong>596:</strong>92-96. [2] Abdelaal T, Lelieveldt BPF, Reinders MJT, Mahfouz A: <strong>SIRV: Spatial inference of RNA velocity at the single-cell resolution.</strong> <em>bioRxiv </em>2021<strong>:</strong>2021.2007.2026.453774. [3] Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ: <strong>Generalizing RNA velocity to transient cell states through dynamical modeling.</strong> <em>Nature Biotechnology </em>2020, <strong>38:</strong>1408-1414.
DOI: 10.5281/zenodo.7233173
title: Entrain_example_brain_dataset

description: Single-cell RNA sequencing dataset of the developing mouse brain at E10 and E11, produced by [1], and processed by [2]. Data has been subset to E10 and E11 and subsampled to 5% of original cells. RNA Velocity matrix has been run on this dataset, using scvelo [3] workflow. Also attached, for convenience, is the required NicheNet database on intercellular regulation [4]. [1] La Manno G, Siletti K, Furlan A, Gyllborg D, Vinsland E, Mossi Albiach A, Mattsson Langseth C, Khven I, Lederer AR, Dratva LM, et al: <strong>Molecular architecture of the developing mouse brain.</strong> <em>Nature </em>2021, <strong>596:</strong>92-96. [2] Abdelaal T, Lelieveldt BPF, Reinders MJT, Mahfouz A: <strong>SIRV: Spatial inference of RNA velocity at the single-cell resolution.</strong> <em>bioRxiv </em>2021<strong>:</strong>2021.2007.2026.453774. [3] Bergen V, Lange M, Peidli S, Wolf FA, Theis FJ: <strong>Generalizing RNA velocity to transient cell states through dynamical modeling.</strong> <em>Nature Biotechnology </em>2020, <strong>38:</strong>1408-1414. [4] Browaeys R, Saelens W, Saeys Y: <strong>NicheNet: modeling intercellular communication by linking ligands to target genes.</strong> <em>Nat Methods </em>2020, <strong>17:</strong>159-162