cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15149038.v1
title: The DUF221 domain-containing (DDP) genes identification and expression analysis in tomato under abiotic and phytohormone stress

description: The domain of unknown function (DUF221 domain-containing) proteins regulates various aspects of plant growth, development, responses to abiotic stresses, and hormone transduction pathways. To understand the role of DDP proteins in tomato, a comprehensive genome-wide analysis was performed in the tomato genome. A total of 12 DDP genes were identified and distributed in 8 chromosomes in the tomato genome. Phylogenetically all SlDDPs were clustered into four clades, subsequently supported by their gene structure and conserved motifs distribution. The SlDDPs contained various cis-acting elements involved in plant responses to abiotic and various phytohormones stresses. The tissue-specific expression profile analysis revealed the constitutive expression of <i>SlDDPs</i> in roots, leaves, and developmental phases of fruit. It was found that <i>SlDDP1, SlDDP3, SlDDP4, SlDDP9, SlDDP10</i>, and <i>SlDDP12</i> exhibited high expression levels in fruits at different development stages. Of these genes, <i>SlDDP12</i> contained ethylene (ERE) responsive elements in their promoter regions, suggesting its role in ethylene-dependent fruit ripening. It was found that a single SlDDP induced by two or more abiotic and phytohormone stresses. These include, <i>SlDDP1, SlDDP2, SlDDP3, SlDDP4, SlDDP7, SlDDP8</i>, and <i>SlDDP10</i> was induced under salt, drought, ABA, and IAA stresses. Moreover, tomato SlDDPs were targeted by multiple miRNA gene families as well. In conclusion, this study predicted that the putative DDP genes might help improve abiotic and phytohormone tolerance in plants, particularly tomato, rice, and other economically important crop plant species.
DOI: 10.6084/m9.figshare.15149038
title: The DUF221 domain-containing (DDP) genes identification and expression analysis in tomato under abiotic and phytohormone stress

description: The domain of unknown function (DUF221 domain-containing) proteins regulates various aspects of plant growth, development, responses to abiotic stresses, and hormone transduction pathways. To understand the role of DDP proteins in tomato, a comprehensive genome-wide analysis was performed in the tomato genome. A total of 12 DDP genes were identified and distributed in 8 chromosomes in the tomato genome. Phylogenetically all SlDDPs were clustered into four clades, subsequently supported by their gene structure and conserved motifs distribution. The SlDDPs contained various cis-acting elements involved in plant responses to abiotic and various phytohormones stresses. The tissue-specific expression profile analysis revealed the constitutive expression of <i>SlDDPs</i> in roots, leaves, and developmental phases of fruit. It was found that <i>SlDDP1, SlDDP3, SlDDP4, SlDDP9, SlDDP10</i>, and <i>SlDDP12</i> exhibited high expression levels in fruits at different development stages. Of these genes, <i>SlDDP12</i> contained ethylene (ERE) responsive elements in their promoter regions, suggesting its role in ethylene-dependent fruit ripening. It was found that a single SlDDP induced by two or more abiotic and phytohormone stresses. These include, <i>SlDDP1, SlDDP2, SlDDP3, SlDDP4, SlDDP7, SlDDP8</i>, and <i>SlDDP10</i> was induced under salt, drought, ABA, and IAA stresses. Moreover, tomato SlDDPs were targeted by multiple miRNA gene families as well. In conclusion, this study predicted that the putative DDP genes might help improve abiotic and phytohormone tolerance in plants, particularly tomato, rice, and other economically important crop plant species.
DOI: 10.6084/m9.figshare.16674447
title: Perception of genetically engineered crops in Paraguay

description: Paraguay is integrated into the world mainly through its agricultural activity. The population’s perception of genetically engineered crops is relevant to design communication strategies that convey the advantages and limitations of the various technologies used in the country. We aimed to know the perception of the population of four Departments of the country where such crops are grown through a survey, which revealed a low level of knowledge about genetically engineered crops in general, and specifically about the effects of genetically engineered crops on production, nutrition, and the environment. Respondents expressed a willingness to receive information on genetically engineered crops, in particular from the <i>National Government and the Health Sector</i>.
DOI: 10.6084/m9.figshare.16674447.v3
title: Perception of genetically engineered crops in Paraguay

description: Paraguay is integrated into the world mainly through its agricultural activity. The population’s perception of genetically engineered crops is relevant to design communication strategies that convey the advantages and limitations of the various technologies used in the country. We aimed to know the perception of the population of four Departments of the country where such crops are grown through a survey, which revealed a low level of knowledge about genetically engineered crops in general, and specifically about the effects of genetically engineered crops on production, nutrition, and the environment. Respondents expressed a willingness to receive information on genetically engineered crops, in particular from the <i>National Government and the Health Sector</i>.
DOI: 10.6084/m9.figshare.13064259.v1
title: Identification of a defense response gene involved in signaling pathways against PVA and PVY in potato

description: Potato is the most important non-grain food crop in the world. Viruses, particularly potato virus Y (PVY) and potato virus A (PVA), are among the major agricultural pathogens causing severe reduction in potato yield and quality worldwide. Virus infection induces host factors to interfere with its infection cycle. Evaluation of these factors facilitates the development of intrinsic resistance to plant viruses. In this study, a small G-protein as one of the critical signaling factors was evaluated in plant response to PVY and PVA to enhance resistance. For this purpose, the gene expression dataset of G-proteins in potato plant under five biotic (viruses, bacteria, fungi, nematodes, and insects) and four abiotic (cold, heat, salinity, and drought) stress conditions were collected from gene expression databases. We reduced the number of the selected G-proteins to a single protein, <i>StSAR1A</i>, which is possibly involved in virus inhibition. <i>StSAR1A</i> overexpressed transgenic plants were created via the Agrobacterium-mediated method. Real-time PCR and Enzyme-linked immunosorbent assay tests of transgenic plants mechanically inoculated with PVY and PVA indicated that the overexpression of <i>StSAR1A</i> gene enhanced resistance to both viruses. The virus-infected transgenic plants exhibited a greater stem length, a larger leaf size, a higher fresh/dry weight, and a greater node number than those of the wild-type plants. The maximal photochemical efficiency of photosystem II, stomatal conductivity, and net photosynthetic rate in the virus-infected transgenic plants were also obviously higher than those of the control. The present study may help to understand aspects of resistance against viruses.
DOI: 10.6084/m9.figshare.14139601
title: Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses

description: The safety of transgenic Bt rice containing bacteria-derived <i>mCry1Ac</i> gene from <i>Bacillus thuringiensis</i> (Bt) was assessed by conducting field trials at two locations for two consecutive years in South Korea, using the near-isogenic line comparator rice cultivar (‘Ilmi’, non-Bt rice) and four commercial cultivars as references. Compositional analyses included measurement of proximates, minerals, amino acids, fatty acids, vitamins, and antinutrients. Significant differences between Bt rice and non-Bt rice were detected; however, all differences were within the reference range. The statistical analyses, including analysis of % variability, analysis of similarities (ANOISM), similarity percentage (SIMPER) analysis, and permutational multivariate analysis of variance (PERMANOVA) were performed to study factors contributing to compositional variability. The multivariate analyses revealed that environmental factors more influenced rice components’ variability than by genetic factors. This approach was shown to be a powerful method to provide meaningful evaluations between Bt rice and its comparators. In this study, Bt rice was proved to be compositionally equivalent to conventional rice varieties through multiple statistical methods.
DOI: 10.6084/m9.figshare.16674447.v2
title: Perception of genetically engineered crops in Paraguay

description: Paraguay is integrated into the world mainly through its agricultural activity. The population’s perception of genetically engineered crops is relevant to design communication strategies that convey the advantages and limitations of the various technologies used in the country. We aimed to know the perception of the population of four Departments of the country where such crops are grown through a survey, which revealed a low level of knowledge about genetically engineered crops in general, and specifically about the effects of genetically engineered crops on production, nutrition, and the environment. Respondents expressed a willingness to receive information on genetically engineered crops, in particular from the <i>National Government and the Health Sector</i>.
DOI: 10.6084/m9.figshare.13064259
title: Identification of a defense response gene involved in signaling pathways against PVA and PVY in potato

description: Potato is the most important non-grain food crop in the world. Viruses, particularly potato virus Y (PVY) and potato virus A (PVA), are among the major agricultural pathogens causing severe reduction in potato yield and quality worldwide. Virus infection induces host factors to interfere with its infection cycle. Evaluation of these factors facilitates the development of intrinsic resistance to plant viruses. In this study, a small G-protein as one of the critical signaling factors was evaluated in plant response to PVY and PVA to enhance resistance. For this purpose, the gene expression dataset of G-proteins in potato plant under five biotic (viruses, bacteria, fungi, nematodes, and insects) and four abiotic (cold, heat, salinity, and drought) stress conditions were collected from gene expression databases. We reduced the number of the selected G-proteins to a single protein, <i>StSAR1A</i>, which is possibly involved in virus inhibition. <i>StSAR1A</i> overexpressed transgenic plants were created via the Agrobacterium-mediated method. Real-time PCR and Enzyme-linked immunosorbent assay tests of transgenic plants mechanically inoculated with PVY and PVA indicated that the overexpression of <i>StSAR1A</i> gene enhanced resistance to both viruses. The virus-infected transgenic plants exhibited a greater stem length, a larger leaf size, a higher fresh/dry weight, and a greater node number than those of the wild-type plants. The maximal photochemical efficiency of photosystem II, stomatal conductivity, and net photosynthetic rate in the virus-infected transgenic plants were also obviously higher than those of the control. The present study may help to understand aspects of resistance against viruses.
DOI: 10.6084/m9.figshare.14139601.v1
title: Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses

description: The safety of transgenic Bt rice containing bacteria-derived <i>mCry1Ac</i> gene from <i>Bacillus thuringiensis</i> (Bt) was assessed by conducting field trials at two locations for two consecutive years in South Korea, using the near-isogenic line comparator rice cultivar (‘Ilmi’, non-Bt rice) and four commercial cultivars as references. Compositional analyses included measurement of proximates, minerals, amino acids, fatty acids, vitamins, and antinutrients. Significant differences between Bt rice and non-Bt rice were detected; however, all differences were within the reference range. The statistical analyses, including analysis of % variability, analysis of similarities (ANOISM), similarity percentage (SIMPER) analysis, and permutational multivariate analysis of variance (PERMANOVA) were performed to study factors contributing to compositional variability. The multivariate analyses revealed that environmental factors more influenced rice components’ variability than by genetic factors. This approach was shown to be a powerful method to provide meaningful evaluations between Bt rice and its comparators. In this study, Bt rice was proved to be compositionally equivalent to conventional rice varieties through multiple statistical methods.
DOI: 10.5281/zenodo.6025350
title: Isolation-by-distance and genetic parentage analysis provide similar larval dispersal estimates

description: An R studio project that includes original SNP data files used to quantify dispersal in <em>Elacatinus lori</em> via the isolation-by-distance (IBD) method. Associated R-code used to generate IBD regression slopes, calculate sigma, and construct dispersal kernels. Includes output from NeEstimator, estimating effective population size. Folders 1-3 contain the code/data needed to obtain the slope of the IBD relationship, effective population size, and the standard deviation (sigma) of the dispersal distribution, respectively. Folder 4 contains the R code needed to construct Laplacian dispersal kernels.
DOI: 10.6084/m9.figshare.18432623
title: Probiotic Cocktails Experiment: Sanger sequences

description: All_BT_bactSang.fasta: Sanger sequences of isolated fungi from wild boreal toad skin, concatenated into one file, in fasta format.<br>AA_toadBactSanger: a text and excel file of metadata on the Sanger sequences from all of the bacterial isolates we got off the toads in MiXS complaint format; Note that locations have been kept broad with no latitude and longitude since endangered species sites must be protected.<br>
DOI: 10.6084/m9.figshare.18432623.v2
title: Probiotic Cocktails Experiment: Sanger sequences

description: All_BT_bactSang.fasta: Sanger sequences of isolated fungi from wild boreal toad skin, concatenated into one file, in fasta format.<br>AA_toadBactSanger: a text and excel file of metadata on the Sanger sequences from all of the bacterial isolates we got off the toads in MiXS complaint format; Note that locations have been kept broad with no latitude and longitude since endangered species sites must be protected.<br>
DOI: 10.25422/azu.data.17003149
title: ProQuest Historical Newspapers Collections: The New York Times (1851-1936) and The Washington Post (1877-1934)

description: <b>Dataset available only to University of Arizona affiliates. To obtain access, you must log in to ReDATA with your NetID. Data is for research use by each individual downloader only. Sharing and/or redistribution of any portion of this dataset is prohibited.</b><b><br></b>The UA Libraries have acquired XML and PDF files of two newspapers from the ProQuest Historical Newspapers collection: The New York Times (1851-1936) and The Washington Post (1877-1934). These files may be downloaded and used for text and data mining. For questions about news resources or text mining, contact Mary Feeney (mfeeney@arizona.edu), Librarian in the Research & Learning Department. <b><br></b>NOTE: The uncompressed datasets are very large.<br>Detailed file descriptions and MD5 hash values for each file can be found in the README.txt file.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.17003149.v1
title: ProQuest Historical Newspapers Collections: The New York Times (1851-1936) and The Washington Post (1877-1934)

description: <b>Dataset available only to University of Arizona affiliates. To obtain access, you must log in to ReDATA with your NetID. Data is for research use by each individual downloader only. Sharing and/or redistribution of any portion of this dataset is prohibited.</b><b><br></b>The UA Libraries have acquired XML and PDF files of two newspapers from the ProQuest Historical Newspapers collection: The New York Times (1851-1936) and The Washington Post (1877-1934). These files may be downloaded and used for text and data mining. For questions about news resources or text mining, contact Mary Feeney (mfeeney@arizona.edu), Librarian in the Research & Learning Department. <b><br></b>NOTE: The uncompressed datasets are very large.<br>Detailed file descriptions and MD5 hash values for each file can be found in the README.txt file.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.5281/zenodo.6016726
title: Data carbon emission university Jember

description: This file content of carbon emission in university of Jember Indonesia
description: Perum Pesona Regency Blok AE22 Patrang Patrang
DOI: 10.5281/zenodo.6016725
title: Data carbon emission university Jember

description: This file content of carbon emission in university of Jember Indonesia
description: Perum Pesona Regency Blok AE22 Patrang Patrang
DOI: 10.6084/m9.figshare.10780820.v4
title: Phylogenetic Tree Tutorial Example Data

description: Data of the example datasets of the tutorial. The archive contains one two directories: one for each of the protocol shown in the tutorial.Protocol 1 contains the marker genes and the Multiple Sequence Alignments (MSA), as well as trees obtained from two reconstruction methods (IqTree and RaXML).Protocol 2 contains the OMA Standalone directory, the locally added genomes, the selected Orthologous Groups, and their MSA, as well as the trees from two reconstruction methods.
DOI: 10.5281/zenodo.6026493
title: Dataset

description: <pre>Base data for preparing the Results.</pre>
DOI: 10.5281/zenodo.6026492
title: Dataset

description: <pre>Base data for preparing the Results.</pre>
DOI: 10.25345/c5pc6s
title: MassIVE MSV000088808 - GNPS cecum metabolomics Rattus norvegicus
title: This dataset includes LC-MS/MS data from cecum samples collected from rats
DOI: 10.5517/ccdc.csd.cc23jftx
title: CCDC 1952219: Experimental Crystal Structure Determination

description: Related Article: Lu-Mei Pu, Meng Yu, Yu Zhang, Hai-Tao Long, Wei-Bing Xu, Wen-Kui Dong|2020|Inorg.Chim.Acta|500|119238|doi:10.1016/j.ica.2019.119238
DOI: 10.5517/ccdc.csd.cc236qvx
title: CCDC 1942889: Experimental Crystal Structure Determination

description: Related Article: Ashok Kumar Bharati, Somnath, Prem Lama, Kafeel Ahmad Siddiqui|2020|Inorg.Chim.Acta|500|119219|doi:10.1016/j.ica.2019.119219
DOI: 10.5517/ccdc.csd.cc23mbps
title: CCDC 1955005: Experimental Crystal Structure Determination

description: Related Article: Linan Su, Dawei Yang, Baomin Wang, Jingping Qu|2020|Inorg.Chem.Commun.|112|107735|doi:10.1016/j.inoche.2019.107735
DOI: 10.5517/ccdc.csd.cc22bmwy
title: CCDC 1916850: Experimental Crystal Structure Determination

description: Related Article: K. Moschovitis, C.N. Banti, N. Kourkoumelis, E. Moushi, T. Lazaridis, S.K. Hadjikakou|2019|Inorg.Chim.Acta|500|119209|doi:10.1016/j.ica.2019.119209
DOI: 10.5517/ccdc.csd.cc23p2nk
title: CCDC 1956678: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Yu, Shi-Xiong Jiang, Hui Zhang, Hai-Bao Duan|2020|Inorg.Chem.Commun.|112|107690|doi:10.1016/j.inoche.2019.107690
DOI: 10.5517/ccdc.csd.cc23p2ws
title: CCDC 1956685: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Yu, Shi-Xiong Jiang, Hui Zhang, Hai-Bao Duan|2020|Inorg.Chem.Commun.|112|107690|doi:10.1016/j.inoche.2019.107690
DOI: 10.5517/ccdc.csd.cc23ph5h
title: CCDC 1957066: Experimental Crystal Structure Determination

description: Related Article: Zaria I. Contejean, Jason Jia, Robert L. LaDuca|2020|Inorg.Chem.Commun.|112|107709|doi:10.1016/j.inoche.2019.107709
DOI: 10.5517/ccdc.csd.cc23rkv9
title: CCDC 1959071: Experimental Crystal Structure Determination

description: Related Article: Miao-Miao Fu, Yun-Hua Qu, Vladislav A. Blatov, Yue-Hua Li, Guang-Hua Cui|2020|J.Solid State Chem.|289|121460|doi:10.1016/j.jssc.2020.121460
DOI: 10.5517/ccdc.csd.cc23swjb
title: CCDC 1960332: Experimental Crystal Structure Determination

description: Related Article: Junzhi Guo, Ziyin Li, Lizhen Liu, Yingxiang Ye, Ting Chen, Mengxin Zhang, Zhijun Ke, Shengchang Xiang, Yuanchao Lv, Zizhu Yao|2020|Inorg.Chem.Commun.|112|107721|doi:10.1016/j.inoche.2019.107721
DOI: 10.5517/ccdc.csd.cc23x6s1
title: CCDC 1963533: Experimental Crystal Structure Determination

description: Related Article: Tian-Lei Sun, Tao-Tao Kan, Jing-Hui Yan, Huan Zhang|2020|Inorg.Chem.Commun.|112|107717|doi:10.1016/j.inoche.2019.107717
DOI: 10.5517/ccdc.csd.cc23rx3x
title: CCDC 1959389: Experimental Crystal Structure Determination

description: Related Article: Wen-Jing Jiang, Han-Han Lu, Yin-Shan Meng, Cheng-Qi Jiao, Tao Liu|2020|Inorg.Chem.Commun.|112|107715|doi:10.1016/j.inoche.2019.107715
DOI: 10.5517/ccdc.csd.cc23zt42
title: CCDC 1966024: Experimental Crystal Structure Determination

description: Related Article: Yan Zhang|2019|CSD Communication|||
description: Related Article: Jun Wang,  Yan Zhang,  Peixin Zhang,  Jianbo Hu,  Rui-Biao Lin,  Qiang Deng,  Zheling Zeng,  Huabin Xing,  Shuguang Deng,  Banglin Chen|2020|J.Am.Chem.Soc.|142|9744|doi:10.1021/jacs.0c02594
DOI: 10.5517/ccdc.csd.cc23zxcd
title: CCDC 1966124: Experimental Crystal Structure Determination

description: Related Article: Fredric G. Svensson, Vadim G. Kessler|2020|Polyhedron|178|114276|doi:10.1016/j.poly.2019.114276
DOI: 10.5517/ccdc.csd.cc21056g
title: CCDC 1876994: Experimental Crystal Structure Determination

description: Related Article: Hongyan Lin, Yu Liu, Ming Ji, Jing Zhao, Guocheng Liu|2020|Inorg.Chem.Commun.|112|107734|doi:10.1016/j.inoche.2019.107734
DOI: 10.5517/ccdc.csd.cc21057h
title: CCDC 1876995: Experimental Crystal Structure Determination

description: Related Article: Hongyan Lin, Yu Liu, Ming Ji, Jing Zhao, Guocheng Liu|2020|Inorg.Chem.Commun.|112|107734|doi:10.1016/j.inoche.2019.107734
DOI: 10.5517/ccdc.csd.cc241cf0
title: CCDC 1967521: Experimental Crystal Structure Determination

description: Related Article: Mohanakumaran Athira, Suresh Snoxma Smile, Ponnusamy Shanmugam|2022|New J.Chem.|46|2952|doi:10.1039/D1NJ05379E
DOI: 10.5517/ccdc.csd.cc24b6vk
title: CCDC 1976028: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang,  Wenqiang Zhang,  Xing Kang,  Ziping Cao,  Xu Chen,  Yan Liu,  Yong Cui|2020|J.Am.Chem.Soc.|142|9642|doi:10.1021/jacs.0c00637
description: Related Article: Hong Jiang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24b6wl
title: CCDC 1976029: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang,  Wenqiang Zhang,  Xing Kang,  Ziping Cao,  Xu Chen,  Yan Liu,  Yong Cui|2020|J.Am.Chem.Soc.|142|9642|doi:10.1021/jacs.0c00637
description: Related Article: Hong Jiang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24b6xm
title: CCDC 1976030: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang,  Wenqiang Zhang,  Xing Kang,  Ziping Cao,  Xu Chen,  Yan Liu,  Yong Cui|2020|J.Am.Chem.Soc.|142|9642|doi:10.1021/jacs.0c00637
description: Related Article: Hong Jiang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24b6yn
title: CCDC 1976031: Experimental Crystal Structure Determination

description: Related Article: Hong Jiang,  Wenqiang Zhang,  Xing Kang,  Ziping Cao,  Xu Chen,  Yan Liu,  Yong Cui|2020|J.Am.Chem.Soc.|142|9642|doi:10.1021/jacs.0c00637
description: Related Article: Hong Jiang|2020|CSD Communication|||