cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5mw36
title: MassIVE MSV000083242 - LC-MS/MS Identification of peptides from Arabidopsis immunity kinases ZED1 and PBS1 acetylated by bacterial effector HopZ1a
title: FLAG-tagged derivates of both ZED1 and PBS1 were separately co-expressed in yeast with wild-type (wt) or catalytically-inactive (C216A) FLAG-tagged alleles of HopZ1a, an acetyltransferase effector from phytopathogen P. syringae. Anti-FLAG immunoprecipitates from these yeast cell lysates were subjected to mass spectometry.
DOI: 10.5281/zenodo.2328951
title: ``HiPen'': a new dataset for validating (S)QM/MM free energy simulations

description: Calculating free energy differences between levels of theory (i.e., \(\Delta A^{low \to high}\)) is integral to performing indirect (S)QM/MM free energy simulations. However, connecting levels of theory via free energy simulations has proved difficult due to (1) bond/angle degrees of freedom, (2) dihedral degrees of freedom, and (3) solvent arrangement differences between levels of theory, largely due to partial charge differences between levels of theory. In order to improve calculation of (S)QM/MM free energy simulations, the free energy simulation community should begin to compare methods based on convergence success relative to overall computational time and resource requirements. We have begun to compile such a dataset by calculating \(\Delta A^{MM \to SCC-DFTB}\) in gas phase for 22 drug-like molecules, as seen in our recent publication, Kearns, et al. <strong>2018</strong>, <em>Molecules</em>, Submitted, and we hope that future practitioners will do the same. With this work we hope to provide a standard for comparison for future FES methodologies; additionally, in the near future we hope to continue to add to this dataset including results in more complicated environments such as in solution and in enzyme. All data can be found in our publication and in the accompanying Supporting Information; raw data (such as simulation trajectories and raw data files) can be made available upon request. The purpose of this dataset publication is to make available all starting coordinates, topologies, parameter sets, and input files necessary to replicating the results published in our work.
description: This research was funded by NIGMS of the National Institutes of Health
under award number RO1GM129519.  Additionally, FLK acknowledges funding support
from NSF's Graduate Research Fellowship Program, project number 3900101301.
Finally, FLK, LW, and HLW would like recognize additional computational support
was provided, through collaboration with University of South Florida's
Computing Cluster (CIRCE) team, via the Major Research Instrumentation Program
(MRI-1531590). Finally, SB gratefully acknowledges support for this work from
the Austrian Science Fund/FWF (P31024).
DOI: 10.5281/zenodo.2328952
title: ``HiPen'': a new dataset for validating (S)QM/MM free energy simulations

description: Calculating free energy differences between levels of theory (i.e., \(\Delta A^{low \to high}\)) is integral to performing indirect (S)QM/MM free energy simulations. However, connecting levels of theory via free energy simulations has proved difficult due to (1) bond/angle degrees of freedom, (2) dihedral degrees of freedom, and (3) solvent arrangement differences between levels of theory, largely due to partial charge differences between levels of theory. In order to improve calculation of (S)QM/MM free energy simulations, the free energy simulation community should begin to compare methods based on convergence success relative to overall computational time and resource requirements. We have begun to compile such a dataset by calculating \(\Delta A^{MM \to SCC-DFTB}\) in gas phase for 22 drug-like molecules, as seen in our recent publication, Kearns, et al. <strong>2018</strong>, <em>Molecules</em>, Submitted, and we hope that future practitioners will do the same. With this work we hope to provide a standard for comparison for future FES methodologies; additionally, in the near future we hope to continue to add to this dataset including results in more complicated environments such as in solution and in enzyme. All data can be found in our publication and in the accompanying Supporting Information; raw data (such as simulation trajectories and raw data files) can be made available upon request. The purpose of this dataset publication is to make available all starting coordinates, topologies, parameter sets, and input files necessary to replicating the results published in our work.
description: This research was funded by NIGMS of the National Institutes of Health
under award number RO1GM129519.  Additionally, FLK acknowledges funding support
from NSF's Graduate Research Fellowship Program, project number 3900101301.
Finally, FLK, LW, and HLW would like recognize additional computational support
was provided, through collaboration with University of South Florida's
Computing Cluster (CIRCE) team, via the Major Research Instrumentation Program
(MRI-1531590). Finally, SB gratefully acknowledges support for this work from
the Austrian Science Fund/FWF (P31024).
DOI: 10.15151/esrf-es-184452790
title: Stockholm BAG
DOI: 10.25910/5c16c958d1bb8
title: Adverse Events Following Q Fever Immunisation in Young Adults

description: The dataset is part of Frequency of Adverse Events Following Q Fever Immunisation in Young Adults project data collection which collected Q fever vaccine (Q-VAX®) adverse events following immunisation (AEFI) data in veterinary and animal science students at Australian universities. Students were enrolled at the time of vaccination and were emailed a link to an online AEFI survey one week later. Of the 60% (499/827) that responded, 85% were female and the median age was 18 years. Local injection site reactions (ISRs) occurred in 98% (95%; CI 96–99%) of respondents. Systemic AEFI occurred in 60% (95%; CI 55–64%) of respondents within the seven days following immunisation. Medical attention was sought by 19/499 (3.8%) respondents, of whom one sought treatment at a hospital emergency department. This dataset is an excel file of data obtained from a survey of young adults following Q fever immunisation. The survey contained questions pertaining to local and systemic adverse events following immunisation; frequency, size and onset of local reactions, and the presence of systemic events within the seven days following vaccination. The data headings can be interpreted with the data dictionary provided within the excel file.
DOI: 10.5281/zenodo.2336580
title: dataset + target vs output

description: 210 data points

<strong>meaning of each excel sheet:</strong>

IN - input variable values for each data point (each data point is one row) 

TARGET - target variable values for each data point (each data point is one row) 

VARS - presents the units used for each input (independent) and output/target (dependent) variables

TARGET vs OUTPUT - presents the 210 expected (experimental) values and the ones obtained by the proposed ANN

 

<strong>Check reference below</strong> (to be added when the paper is published)

https://www.researchgate.net/publication/329932699_Neural_Networks_-_Shear_Strength_-_Corrugated_Web_Girders
DOI: 10.5281/zenodo.2337851
title: DWD European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.5517/ccdc.csd.cc2098j4
title: CCDC 1855955: Experimental Crystal Structure Determination

description: Related Article: Yi-Chen Lin, Yen-Jen Chen, Tzung-Yu Shih, Yu-Hsieh Chen, Yi-Chun Lai, Michael Y. Chiang, Gopal Chandru Senadi, Hsing-Yin Chen, Hsuan-Ying Chen|2018|Organometallics|38|223|doi:10.1021/acs.organomet.8b00565
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: 10.14455/nrct.img.2018.647
title: การพัฒนารูปแบบการให้คำปรึกษารายบุคคลแบบบูรณาการเพื่อเสริมสร้างความเข้มแข็งทางใจของสตรีที่มีการสูญเสียสามีในสถานการณ์ความไม่สงบจังหวัดชายแดนภาคใต้ (Development of Integrative Individual Counseling Model to Strengthen Resilience in Widow from the Situation
DOI: 10.25345/c53w4x
title: MassIVE MSV000083246 - GNPS-I17F-291-A1
title: Fungi of the genus Pestalotiopsis (Amphisphaeriaceae) are known as endophytes of tropical higher plants, which are common in their distribution, and many are saprobes, while others are either pathogenic or endophytic to living plants.
DOI: 10.5281/zenodo.2341591
title: W and b arrays

description: W and b arrays of the proposed ANN - eq. (4)

 

 

<strong>Check reference below</strong> (to be added when the paper is published)

https://www.researchgate.net/publication/329932699_Neural_Networks_-_Shear_Strength_-_Corrugated_Web_Girders
DOI: 10.5517/ccdc.csd.cc20k952
title: CCDC 1863663: Experimental Crystal Structure Determination

description: Related Article: Frady G. Adly, Kostiantyn O. Marichev, Joseph A. Jensen, Hadi Arman, Michael P. Doyle|2018|Org.Lett.|21|40|doi:10.1021/acs.orglett.8b03421
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: 10.3886/e105160v1-9821
title: The Prelude and Global Impact of the Great Depression Evidence from a New Macroeconomic Dataset

description: This website contains the replication files for "The Prelude and Global Impact of the Great Depression Evidence from a New Macroeconomic Dataset." Besides Stata and Matlab codes, it contains the underlying dataset of about 1150 macroeconomic time series for 28 countries. It can be used to replicate all results and robustness checks.<br>
DOI: 10.5517/ccdc.csd.cc218ypz
title: CCDC 1885441: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2018|CSD Communication|||
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: 10.14469/hpc/4905
title: 5Br2 + 2,4,6-tributylbenzene in CCl4, Product III, ÎG = -26445.892488

description: Gaussian Calculation
DOI: 10.25345/c5060k
title: MassIVE MSV000083247 - GNPS-I17F-1465-A1
title: Fungi of the genus preussia are known as endophytes of tropical higher plants, which are common in their distribution, and many are saprobes, while others are either pathogenic or endophytic to living plants.Since the discovery of the anticancer agent taxol from an endophytic fungal strain of the genus Pestalotiopsis,interest in searching for bioactive compounds from this fungal genus has increased considerably.
DOI: 10.25345/c5m02v
title: MassIVE MSV000083250 - GNPS-CPCC400783-A1
title: Fungi of the genus  Talaromyces are known as endophytes of tropical higher plants, which are common in their distribution, and many are saprobes, while others are either pathogenic or endophytic to living plants.1 Since the discovery of the anticancer agent taxol from an endophytic fungal strain of the genus Talaromyces
DOI: 10.25345/c5qp5t
title: MassIVE MSV000083249 - GNPS-I18F-291-SPE2
title: Fungi of the genus Pestalotiopsis (Amphisphaeriaceae) are known as endophytes of tropical higher plants, which are common in their distribution, and many are saprobes, while others are either pathogenic or endophytic to living plants.1 Since the discovery of the anticancer agent taxol from an endophytic fungal strain of the genus Pestalotiopsis
DOI: 10.25345/c5vg7r
title: MassIVE MSV000083248 - GNPS-I17F-1465-SPE2
title: Fungi of the genus Pestalotiopsis (Amphisphaeriaceae) are known as endophytes of tropical higher plants, which are common in their distribution, and many are saprobes, while others are either pathogenic or endophytic to living plants.1 Since the discovery of the anticancer agent taxol from an endophytic fungal strain of the genus Pestalotiopsis
DOI: 10.5281/zenodo.1492226
title: A comprehensive video dataset for Multi-Modal Recognition Systems

description: A fully-labelled video dataset will act as a unique resource for researchers and analysts in the fields such as machine learning, computer vision and deep learning. The videos contain similar text recited by 67 different subjects. The text contains digits from 1 to 20 recited by 67 different subjects within the same experimental setup.
description: The dataset folder contains the HD videos of 67 subjects. The corresponding sample for one video has been uploaded with the python scripts which can be customized for the entire dataset videos to get the frames, frames with Boundary Box detection, Audio of the entire video, split audio for the text being recited and the waveforms for entire video audio files and the split text. 
Uncompress the Video_Dataset_uploaded folder. There are two folders : 
1. Main_video_dataset: This folder consists of all the HD videos of 67 subjects.
2. Pre-Processed dataset and scripts: This folder consists of samples for a single video such as frames, audio .wav files, split audio .wav files,  and waveforms for both. It also consists of python scripts which can be used to extract the same information for all the videos of the dataset.
DOI: 10.5281/zenodo.1492227
title: A comprehensive video dataset for Multi-Modal Recognition Systems

description: A fully-labelled video dataset will act as a unique resource for researchers and analysts in the fields such as machine learning, computer vision and deep learning. The videos contain similar text recited by 67 different subjects. The text contains digits from 1 to 20 recited by 67 different subjects within the same experimental setup.
description: The dataset folder contains the HD videos of 67 subjects. The corresponding sample for one video has been uploaded with the python scripts which can be customized for the entire dataset videos to get the frames, frames with Boundary Box detection, Audio of the entire video, split audio for the text being recited and the waveforms for entire video audio files and the split text. 
Uncompress the Video_Dataset_uploaded folder. There are two folders : 
1. Main_video_dataset: This folder consists of all the HD videos of 67 subjects.
2. Pre-Processed dataset and scripts: This folder consists of samples for a single video such as frames, audio .wav files, split audio .wav files,  and waveforms for both. It also consists of python scripts which can be used to extract the same information for all the videos of the dataset.
DOI: 10.15468/25yv8z
title: Observation.org, Nature data from the Netherlands
DOI: 10.5281/zenodo.2348841
title: Dataset for "Interpreting eddy covariance data from heterogeneous Siberian tundra: land cover-specific methane fluxes and spatial representativeness"

description: The micrometeorological dataset used in

Tuovinen, J.-P., Aurela, M., Hatakka, J., Räsänen, A., Virtanen, T., Mikola, J., Ivakhov, V., Kondratyev, V. and Laurila, T.: Interpreting eddy covariance data from heterogeneous Siberian tundra: land cover-specific methane fluxes and spatial representativeness. <em>Biogeosciences Discussions</em>, https://doi.org/10.5194/bg-2018-155, 2018 (accepted for publication in <em>Biogeosciences</em>).
DOI: 10.5281/zenodo.2348842
title: Dataset for "Interpreting eddy covariance data from heterogeneous Siberian tundra: land cover-specific methane fluxes and spatial representativeness"

description: The micrometeorological dataset used in

Tuovinen, J.-P., Aurela, M., Hatakka, J., Räsänen, A., Virtanen, T., Mikola, J., Ivakhov, V., Kondratyev, V. and Laurila, T.: Interpreting eddy covariance data from heterogeneous Siberian tundra: land cover-specific methane fluxes and spatial representativeness. <em>Biogeosciences Discussions</em>, https://doi.org/10.5194/bg-2018-155, 2018 (accepted for publication in <em>Biogeosciences</em>).
DOI: 10.5281/zenodo.2348891
title: EEG Alpha Waves dataset

description: <strong>Summary:</strong>

This dataset contains electroencephalographic recordings of 20 subjects in a simple resting-state eyes open/closed experimental protocol. The electroencephalographic headset consisted of 16 electrodes. Data were recorded during a pilot experiment taking place in the GIPSA-lab, Grenoble, France, in 2017 (1). A full description of the experiment may be found at https://hal.archives-ouvertes.fr/hal-02086581. Python code for manipulating the data is available at https://github.com/plcrodrigues/Alpha-Waves-Dataset . The ID of this dataset is <em>ALPHA.EEG.2017-GIPSA.</em>

 

<strong>Full description of the experiment and dataset:</strong> https://hal.archives-ouvertes.fr/hal-02086581

 

<strong><em>Principal </em></strong><strong><em>Investigators</em>:</strong> Eng. Grégoire CATTAN, Eng. Pedro L. C. RODRIGUES

<br>
<strong><em>Scientific Supervisor</em></strong><strong>:</strong> Dr. Marco Congedo

 

<strong>ID of the dataset: </strong><em>ALPHA.EEG.2017-GIPSA</em>
DOI: 10.5281/zenodo.2349225
title: Using shear-wave elastography in skeletal muscle: data repository of a reliability study

description: This repository contains raw data from experiments investigating the reliability of shear-wave<br>
elastography (SWE) to assess muscle stiffness. The first dataset contains meat specimen experiments (using<br>
porcine meat specimens). The second and third datasets contain the measurements of human<br>
subjects, performed on the first and second visit to the laboratory, respectively. All values are in<br>
kilopascals (kPa). This experiment showed that SWE is a reliable tool for assessing muscle stiffness,<br>
when the probe pressure is kept constant and the muscle is examined in relaxed condition.
DOI: 10.5281/zenodo.2349226
title: Using shear-wave elastography in skeletal muscle: data repository of a reliability study

description: This repository contains raw data from experiments investigating the reliability of shear-wave<br>
elastography (SWE) to assess muscle stiffness. The first dataset contains meat specimen experiments (using<br>
porcine meat specimens). The second and third datasets contain the measurements of human<br>
subjects, performed on the first and second visit to the laboratory, respectively. All values are in<br>
kilopascals (kPa). This experiment showed that SWE is a reliable tool for assessing muscle stiffness,<br>
when the probe pressure is kept constant and the muscle is examined in relaxed condition.
DOI: 10.3886/e107221v1-9822
title: Scheduling Nudge in MOOC: Data and Analysis Files

description: These files contain the anonymized data and analysis files used to create the tables found in "A Randomized Experiment Testing the Efficacy of a Scheduling Nudge in a Massive Open Online Course (MOOC)".<br><br>The abstract for the paper is found below:<br><br>An increasing number of
students are taking classes offered online through open access platforms;
however, the vast majority of students who start these classes do not finish. The
incongruence of student intentions and subsequent engagement suggests that
self-control is a major contributor to this stark lack of persistence. This
study presents the results of a large-scale field experiment (n=18,043) that
examines the effects of a self-directed scheduling nudge designed to promote
student persistence in a Massive Open Online Course (MOOC). We find that random
assignment to treatment had no effects on near-term engagement and weakly
significant negative effects on longer-term
course engagement, persistence, and performance. Interestingly, these negative
effects are highly concentrated in two groups of students: those who registered
close to the first day of class and those with .edu email addresses. We
consider several explanations for these findings and conclude that
theoretically motivated interventions may interact with the diverse motivations
of individual students in possibly unintended ways.<br>
DOI: 10.14457/buu.res.2006.179
title: การบริหารจัดการ ของคณะกรรมการกองทุนหมู่บ้านและชุมชนเมือง : กรณีศึกษากองทุนชุมชนทหาร กองพันทหารม้าที่ 1 รักษาพระองค์
DOI: 10.14457/buu.res.2010.76
title: การวางสินค้าในสื่อโทรทัศน์ และผลกระทบต่อผู้บริโภค
DOI: 10.14457/tru.res.2009.3
title: การศึกษาและพัฒนาระบบประกันคุณภาพงานวิจัยด้านวิทยาศาสตร์และสังคมศาสตร์ของบุคลากรในมหาวิทยาลัยราชภัฏเทพสตรี
DOI: 10.14457/buu.res.2010.75
title: แรงจูงใจที่มีผลต่อการสูบบุรี่ของนักเรียนอาชีวศึกษา จังหวัดกาฬสินธุ์
DOI: 10.14457/tru.res.2009.4
title: วิจัยและพัฒนารูปแบบการจัดห้องสมุดเรือนจำกลางลพบุรี
DOI: 10.14457/tru.res.2010.9
title: การพัฒนาการใช้ประโยชน์อย่างยั่งยืนของเขตรักษาพันธุ์สัตว์ป่าซับลังกาและการสร้างจิตสำนึกในการอนุรักษ์ของชุมชนในพื้นที่
DOI: 10.14457/tru.the.2005.129
title: การพัฒนาหลักสูตรฝึกอบรมเรื่อง การเลือกซื้อผลิตภัณฑ์อาหาร สำหรับอาสาสมัครสาธารณสุขประจำหมู่บ้าน อำเภอค่ายบางระจัน จังหวัดสิงห์บุรี
DOI: 10.14457/tru.the.2005.130
title: การพัฒนาการใช้น้ำสกัดชีวภาพในการปลูกอ้อย ของเกษตรกรหมู่ที่ 1 ตำบลน้ำสุด อำเภอพัฒนานิคม จังหวัดลพบุรี
DOI: 10.14457/tru.the.2007.114
title: การพัฒนาหลักสูตรฝึกอบรม การเจริญสติ เพื่อพัฒนาคุณธรรมจริยธรรม สำหรับนักศึกษาครุศาสตรบัณฑิตหลักสูตร 5 ปี มหาวิทยาลัยราชภัฏเทพสตรี จังหวัดลพบุรี
DOI: 10.14457/tru.the.2007.115
title: การใช้ทักษะการบริหารงานของผู้บริหารโรงเรียนขนาดเล็ก สังกัดสำนักงานเขตพื้นที่การศึกษาสระบุรี เขต 1
DOI: 10.14457/tru.the.2007.116
title: ความต้องการมีส่วนร่วมในการบริหารโรงเรียนของครู และคณะกรรมการสถานศึกษาขั้นพื้นฐาน สังกัดสำนักงานเขตพื้นที่การศึกษานครสวรรค์ เขต 3
DOI: 10.14457/tru.the.2010.80
title: การพัฒนาความคิดสร้างสรรค์ ด้วยชุดกิจกรรมการวาดภาพเชิงสร้างสรรค์สำหรับเด็กปฐมวัย
DOI: 10.17632/8mhnfb67ps.1
title: Data for: THERMAL ANALYSIS OF CERAMIC NUCLEAR FUELS FOR THE HPLWR

description: Database of the results shown in the article
DOI: 10.5281/zenodo.2350477
title: Through the looking glass: The importance of acquisition settings in use-wear studies [complement to Supplementary Material 4]

description: Script and results of the Bayesian Multi-factor ANOVA (PDF files).
DOI: 10.5281/zenodo.2350504
title: Docker Images Analysis

description: This replication package is for the Docker container analysis submitted and accepted in SANER2019.

Paper title: On The Relation Between Outdated Docker Containers, Severity Vulnerabilities and Bugs

This replication package requires Python 3.5+ to be installed, and all the dependencies listed in ``requirements.txt``.<br>
They can be automatically installed using ``pip install -r requirements.txt``. <br>
The replication package also needs "docker" and "skopeo" (https://github.com/containers/skopeo) tools be installed. However, one can directly use the prepared data and analyze it, without the need to docker or skopeo.<br>
These experiments were executed on a Linux Ubuntu OS.

Content:<br>
    + notebooks: contains the notebook with the results and analysis.<br>
    + data: contains prepared data for the analysis<br>
    + scripts: contains other scripts needed for inspecting the images before analysis and extracting Debian packages from the Debian snapshot.

To obtain the analysis used in the paper, one should execute ``jupyter notebook`` at the root of this replication package, and open the notebook contained in ``notebooks``.

For the Data Extraction part, we relied on the tool of ConPan: https://github.com/neglectos/ConPan

The data is under the Creative Commons Attribution Share-Alike 4.0 license.<br>
The source code is under the GNU General Public License.