cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27d5lf
title: CCDC 2067284: Experimental Crystal Structure Determination

description: Related Article: Vijyesh K. Vyas, Guy J. Clarkson, Martin Wills|2021|Org.Lett.|23|3179|doi:10.1021/acs.orglett.1c00889
DOI: 10.5517/ccdc.csd.cc26wv43
title: CCDC 2052545: Experimental Crystal Structure Determination

description: Related Article: Andreas S. Kalogirou, Andreas Kourtellaris, Panayiotis A. Koutentis|2021|J.Org.Chem.|86|5702|doi:10.1021/acs.joc.1c00206
DOI: 10.6084/m9.figshare.14456559.v4
title: tested_images in tne real-time measurement test

description: The up-sampled images in the real-time measurement test.
DOI: 10.6084/m9.figshare.14456559
title: tested_images in tne real-time measurement test

description: The up-sampled images in the real-time measurement test.
DOI: 10.6084/m9.figshare.14456559.v5
title: tested_images in tne real-time measurement test

description: The up-sampled images in the real-time measurement test.
DOI: 10.25345/c5mf8m
title: MassIVE MSV000087252 - GC/MS analysis of perfumes for database
title: gas chromatograhy mass spectrometry analysis with electron ionization for database
DOI: 10.6084/m9.figshare.14456583
title: ‘GHB’ pitaya genome.gff3

description: We employed PacBio-SMRT, Illumina HiSeq paired-end, 10× Genomics and Hi-C to provide a chromosome-level genomic assembly of ‘GHB’ pitaya (<i>Hylocereus undatus</i>,<i> </i>2n = 2x = 22 chromosomes). The assembled pitaya genome was 1.41 Gb with a scaffold N50 of ~127.15 Mb. A total of 27,753 CDS and 896.31 Mb repetitive sequences in <i>H. undatus</i> genome were annotated.
DOI: 10.6084/m9.figshare.14456583.v1
title: ‘GHB’ pitaya genome.gff3

description: We employed PacBio-SMRT, Illumina HiSeq paired-end, 10× Genomics and Hi-C to provide a chromosome-level genomic assembly of ‘GHB’ pitaya (<i>Hylocereus undatus</i>,<i> </i>2n = 2x = 22 chromosomes). The assembled pitaya genome was 1.41 Gb with a scaffold N50 of ~127.15 Mb. A total of 27,753 CDS and 896.31 Mb repetitive sequences in <i>H. undatus</i> genome were annotated.
DOI: 10.6084/m9.figshare.12461771
title: testdat

description: shrtttt
DOI: 10.6084/m9.figshare.12461771.v2
title: testdat

description: shrtttt
DOI: 10.6084/m9.figshare.12461771.v1
title: testdat

description: shrtttt
DOI: 10.25505/fiz.icsd.cc24hhcj
title: CSD 1981097: Experimental Crystal Structure Determination

description: Related Article: Ashley Weiland, Kaya Wei, Gregory T. McCandless, Ryan E. Baumbach, Julia Y. Chan|2021|ICSD Communication|||
DOI: 10.25505/fiz.icsd.cc26mqf0
title: CSD 2044742: Experimental Crystal Structure Determination

description: Related Article: Ashley Weiland, Kaya Wei, Gregory T. McCandless, Ryan E. Baumbach, Julia Y. Chan|2021|ICSD Communication|||
DOI: 10.5281/zenodo.4660140
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apks, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <em><strong>Empirical Software Engineering</strong></em>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.5281/zenodo.3875975
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apks, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <em><strong>Empirical Software Engineering</strong></em>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.5281/zenodo.3923264
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apps, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <strong>Empirical Software Engineering</strong>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.5281/zenodo.3911439
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apps, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <em><strong>Empirical Software Engineering</strong></em>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.6084/m9.figshare.14458230
title: Separating and Identifying Noise in Single-Pixel Imaging Signals

description: These CSVs contain the SPI signals which are polluted by LED converted by PDA100A2 and recorded by DMM6000<br>This data is refrenced in our letter " Separating and Identifying Noise in Single-Pixel Imaging Signals"
DOI: 10.6084/m9.figshare.14458230.v2
title: Separating and Identifying Noise in Single-Pixel Imaging Signals

description: These CSVs contain the SPI signals which are polluted by LED converted by PDA100A2 and recorded by DMM6000<br>This data is refrenced in our letter " Separating and Identifying Noise in Single-Pixel Imaging Signals"
DOI: 10.6084/m9.figshare.14458230.v1
title: Exp. Result

description: These CSVs contain the SPI signals which are polluted by LED converted by PDA100A2 and recorded by DMM6000<br>This data is refrenced in our letter " Separating and Identifying Noise in Single-Pixel Imaging Signals"
DOI: 10.5281/zenodo.3893979
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apps, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <em><strong>Empirical Software Engineering</strong></em>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.6084/m9.figshare.14412845
title: Images for real-time measurement

description: the umsampled images for real-time measurement.
DOI: 10.6084/m9.figshare.14412845.v4
title: Images for real-time measurement.rar

description: the umsampled images for real-time measurement.
DOI: 10.5281/zenodo.3875976
title: Coronavirus-themed Mobile Apps (Malware) Dataset

description: As COVID-19 continues to spread across the world, a growing number of malicious campaigns are exploiting the pandemic. It is reported that COVID-19 is being used in a variety of online malicious activities, including Email scam, ransomware and malicious domains. As the number of the afflicted cases continue to surge, malicious campaigns that use coronavirus as a lure are increasing. Malicious developers take advantage of this opportunity to lure mobile users to download and install malicious apps. However, besides a few media reports, the coronavirus-themed mobile malware has not been well studied. Our community lacks of the comprehensive understanding of the landscape of the coronavirus-themed mobile malware, and no accessible dataset could be used by our researchers to boost COVID-19 related cybersecurity studies. We make efforts to create a daily growing COVID-19 related mobile app dataset. By the time of mid-November, we have curated a dataset of 4,322 COVID-19 themed apps, and 611 of them are considered to be malicious. The number is growing daily and our dataset will update weekly. For more details, please visit https://covid19apps.github.io This dataset includes the following files: (1) covid19apps.xlsx In this file, we list all the COVID-19 themed apps information, including apk file hashes, released date, package name, AV-Rank, etc. (2)covid19apps.zip We put the COVID-19 themed apps Apk samples in zip files . In order to reduce the size of a single file, we divide the sample into multiple zip files for storage. And the APK file name after the file SHA256. If your papers or articles use our dataset, please use the following bibtex reference to cite our paper: https://arxiv.org/abs/2005.14619 (Accepted to <em><strong>Empirical Software Engineering</strong></em>) <pre><code> @misc{wang2021virus, title={Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware}, author={Liu Wang and Ren He and Haoyu Wang and Pengcheng Xia and Yuanchun Li and Lei Wu and Yajin Zhou and Xiapu Luo and Yulei Sui and Yao Guo and Guoai Xu}, year={2021}, eprint={2005.14619}, archivePrefix={arXiv}, primaryClass={cs.CR} }</code></pre>
DOI: 10.6084/m9.figshare.14458419
title: 数据.sav

description: In this study, subjects were selected by convenient sampling, and paper questionnaires were mailed to employees of many enterprises in many provinces of China (Heilongjiang, Henan, Jiangxi, Liaoning, Jiangsu, Guangxi, etc.). A total of 630 self-report data were collected. All the questionnaires were answered by pen and paper, and all the data were collected for about 5 weeks. After deleting invalid questionnaires such as missing answers and multiple answers, we finally got 571 valid questionnaires, with an effective rate of 95.48%.The data showed that there were 284 male subjects and 287 female subjects; the age range of the subjects was 18-53 years old, with an average age of 27.90 years (SD=5.68); 39.6% of them had education level below bachelor's degree, 50.4% had bachelor’s degree, and 10% had graduate degree. Among them, 45.5 % had worked for less than one year, 29.3 % for 1-5 years, 12.2 % for 5-10 years, and 13 % for more than 10 years.
DOI: 10.6084/m9.figshare.14458419.v1
title: 数据.sav

description: In this study, subjects were selected by convenient sampling, and paper questionnaires were mailed to employees of many enterprises in many provinces of China (Heilongjiang, Henan, Jiangxi, Liaoning, Jiangsu, Guangxi, etc.). A total of 630 self-report data were collected. All the questionnaires were answered by pen and paper, and all the data were collected for about 5 weeks. After deleting invalid questionnaires such as missing answers and multiple answers, we finally got 571 valid questionnaires, with an effective rate of 95.48%.The data showed that there were 284 male subjects and 287 female subjects; the age range of the subjects was 18-53 years old, with an average age of 27.90 years (SD=5.68); 39.6% of them had education level below bachelor's degree, 50.4% had bachelor’s degree, and 10% had graduate degree. Among them, 45.5 % had worked for less than one year, 29.3 % for 1-5 years, 12.2 % for 5-10 years, and 13 % for more than 10 years.
DOI: 10.5281/zenodo.4706595
title: Dataset of SIF and GPP at Daman Site during 2017 to 2018 and leaf-level PAM measurements

description: This is the dataset used in the paper "Improving SIF-based GPP estimation for maize by integrating a response model of LUE to PAR" by the same authors. Please let us know if you want to use the dataset before the paper is published. If there is any question, please contact liuxj@radi.ac.cn.
DOI: 10.5281/zenodo.4400228
title: Dataset of SIF and GPP at Daman Site during 2017 to 2018 and leaf-level PAM measurements

description: This is the dataset used in the paper "Improving SIF-based GPP estimation for maize by integrating a response model of LUE to PAR" by the same authors. Please let us know if you want to use the dataset before the paper is published. If there is any question, please contact liuxj@radi.ac.cn.
DOI: 10.5281/zenodo.4706584
title: Tectonic evolution of the Greymouth Basin, West Coast, New Zealand: An analogue for the Taranaki and other Late Cretaceous frontier basins in New Zealand

description: The supplementary data that support the finding of this study are openly available here.
DOI: 10.5281/zenodo.4706583
title: Tectonic evolution of the Greymouth Basin, West Coast, New Zealand: An analogue for the Taranaki and other Late Cretaceous frontier basins in New Zealand

description: The supplementary data that support the finding of this study are openly available here.
DOI: 10.15151/esrf-es-407410582
title: Zn binding SARS-CoV-2 orf7a and orf8 non-structural proteins XAS study

description: A promising way to develop therapeutic strategies against SARS-CoV-2 is to modulate the interactions of proteins coded in the viral genome with proteins expressed by the host organism. Within this framework, possible targets are the SARS-CoV-2 orf7a and orf8 non-structural proteins. The most supported hypothesis proposed for orf7a function is the interference with virion budding tethering operated by cellular antigens, while the function of orf8 is still unknown. In this proposal, we aim at studying the interaction of orf7a and orf8 with the tetherin protein known as bone marrow stromal antigen 2 (BST2). The mechanism of BST2 tethering involves BST2 dimerization and oligomerization, where oligomers are stabilized by intermolecular disulfide bonds formed between conserved cysteine residues. The BST2 dimerization process is strongly influenced by the presence of divalent cations, such as Zn(II), as they may interfere in disulfide Cys binding.
DOI: 10.5281/zenodo.4706169
title: Dataset for a manuscript "Unusual High Frequency EMIC Waves: Detailed Analysis of EMIC Wave Excitation and Energy Coupling Between EMIC and Magnetosonic Waves"

description: Dataset for a manuscript "Unusual High Frequency EMIC Waves: Detailed Analysis of EMIC Wave Excitation and Energy Coupling Between EMIC and Magnetosonic Waves"
DOI: 10.5281/zenodo.4706168
title: Dataset for a manuscript "Unusual High Frequency EMIC Waves: Detailed Analysis of EMIC Wave Excitation and Energy Coupling Between EMIC and Magnetosonic Waves"

description: Dataset for a manuscript "Unusual High Frequency EMIC Waves: Detailed Analysis of EMIC Wave Excitation and Energy Coupling Between EMIC and Magnetosonic Waves"
DOI: 10.5281/zenodo.4697241
title: Figure 5 from article Crystals "Cadmium Telluride Nanocomposite Films Formation from Thermal Decomposition of Cadmium Carboxylate Precursor and Their Photoluminescence Shift from Green to Red"

description: The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the TEM images and histograms of figure 5. In the following is reported the description of figure 5 as wrote in the paper. Images taken by (a) High Angle Annular Dark Field (HAADF)-STEM and (b) phase contrast HRTEM for green and red QDs produced in films annealed for 5 and 120 min at 150 °C, respectively. Distribution of the number of particles (N) as a function of the diameter of the particles for (c) green and (d
DOI: 10.5281/zenodo.4697240
title: Figure 5 from article Crystals "Cadmium Telluride Nanocomposite Films Formation from Thermal Decomposition of Cadmium Carboxylate Precursor and Their Photoluminescence Shift from Green to Red"

description: The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the TEM images and histograms of figure 5. In the following is reported the description of figure 5 as wrote in the paper. Images taken by (a) High Angle Annular Dark Field (HAADF)-STEM and (b) phase contrast HRTEM for green and red QDs produced in films annealed for 5 and 120 min at 150 °C, respectively. Distribution of the number of particles (N) as a function of the diameter of the particles for (c) green and (d