cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29xb3p
title: CCDC 2142382: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb4q
title: CCDC 2142383: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb5r
title: CCDC 2142384: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb6s
title: CCDC 2142385: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb7t
title: CCDC 2142386: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb8v
title: CCDC 2142387: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xb9w
title: CCDC 2142388: Experimental Crystal Structure Determination

description: Related Article: Rongrong Huang, Chao Wang, Davin Tan, Kai Wang, Bo Zou, Yangtao Shao, Taihong Liu, Haonan Peng, Xiaogang Liu, Yu Fang|2022|Angew.Chem.,Int.Ed.|61|e202211106|doi:10.1002/anie.202211106
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.cc29xtjl
title: CCDC 2142860: Experimental Crystal Structure Determination

description: Related Article: Dan G. Dumitrescu, Jordi Rull‐Barull, Anthony R. Martin, Nathalie Masquelez, Maurizio Polentarutti, Annie Heroux, Nicola Demitri, Giorgio Bais, Ionut‐Tudor Moraru, Romuald Poteau, Muriel Amblard, Andraž Krajnc, Gregor Mali, Yves‐Marie Legrand, Arie van der Lee, Baptiste Legrand|2022|Chem.-Eur.J.|28|e202200383|doi:10.1002/chem.202200383
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.cc29xzv2
title: CCDC 2143025: Experimental Crystal Structure Determination

description: Related Article: Wen Wen, Qiang Liu, Shi‐Hui Zhang, Nian‐Tao Yao, Hiroki Oshio, Yin‐Shan Meng, Tao Liu|2022|Angew.Chem.,Int.Ed.|61|e202208886|doi:10.1002/anie.202208886
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.cc29y0v4
title: CCDC 2143056: Experimental Crystal Structure Determination

description: Related Article: Nils Ansmann, Deborah Hartmann, Sonja Sailer, Philipp Erdmann, Rezisha Maskey, Marcel Schorpp, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202203947|doi:10.1002/anie.202203947
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.cc29y0x6
title: CCDC 2143058: Experimental Crystal Structure Determination

description: Related Article: Nils Ansmann, Deborah Hartmann, Sonja Sailer, Philipp Erdmann, Rezisha Maskey, Marcel Schorpp, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202203947|doi:10.1002/anie.202203947
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.cc29y14g
title: CCDC 2143065: Experimental Crystal Structure Determination

description: Related Article: Ju‐Ying Chen, Sheng‐Yu Chen, Wei‐Ting Chen, Mu‐Chien Yin, Chih‐Min Wang|2022|Chem.-Eur.J.|28|e202200732|doi:10.1002/chem.202200732
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.cc29y15h
title: CCDC 2143066: Experimental Crystal Structure Determination

description: Related Article: Wen Wen, Qiang Liu, Shi‐Hui Zhang, Nian‐Tao Yao, Hiroki Oshio, Yin‐Shan Meng, Tao Liu|2022|Angew.Chem.,Int.Ed.|61|e202208886|doi:10.1002/anie.202208886
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.cc29y66p
title: CCDC 2143222: Experimental Crystal Structure Determination

description: Related Article: Adrián Moreno González, Kieran Nicholson, Natalia Llopis, Gary S. Nichol, Thomas Langer, Alejandro Baeza, Stephen P. Thomas|2022|Angew.Chem.,Int.Ed.|61|e202209584|doi:10.1002/anie.202209584
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.cc29y67q
title: CCDC 2143223: Experimental Crystal Structure Determination

description: Related Article: Adrián Moreno González, Kieran Nicholson, Natalia Llopis, Gary S. Nichol, Thomas Langer, Alejandro Baeza, Stephen P. Thomas|2022|Angew.Chem.,Int.Ed.|61|e202209584|doi:10.1002/anie.202209584
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.cc29y68r
title: CCDC 2143224: Experimental Crystal Structure Determination

description: Related Article: Adrián Moreno González, Kieran Nicholson, Natalia Llopis, Gary S. Nichol, Thomas Langer, Alejandro Baeza, Stephen P. Thomas|2022|Angew.Chem.,Int.Ed.|61|e202209584|doi:10.1002/anie.202209584
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.cc29y9sc
title: CCDC 2143333: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Chunyang Li, Michel Giorgi, Didier Siri, Xavier Bugaut, Bastien Chatelet, Didier Gigmes, Anthony Kermagoret, Alexandre Martinez, David Bardelang|2022|Angew.Chem.,Int.Ed.|61|e202214039|doi:10.1002/anie.202214039
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.cc29y9td
title: CCDC 2143334: Experimental Crystal Structure Determination

description: Related Article: Xue Yang, Chunyang Li, Michel Giorgi, Didier Siri, Xavier Bugaut, Bastien Chatelet, Didier Gigmes, Anthony Kermagoret, Alexandre Martinez, David Bardelang|2022|Angew.Chem.,Int.Ed.|61|e202214039|doi:10.1002/anie.202214039
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/e189601v1
title: Connecting on climate: Perceived similarity to a climate victim increases the likelihood of donation

description: We collect data from two online experiments to investigate the impact of reading a vignette about a climate change victim on donation behavior, psychological distance of climate change, and how soon participants want action on climate change. The data set for Study 1 was collected via Qualtrics Research Panel and includes data from 1,500 Black and White participants in the United States. The data set for Study 2 was collected via Prolific Research Panel and includes data from 1,263 Black and White participants in the United States. <br><br>Social distance refers to the perceived psychological distance between the self and another person on dimensions such as race and class. Does decreasing social distance with a climate victim increase donations? Here we investigate the effect of manipulating social distance on donation to a climate organization, how soon participants want action on climate change, and psychological distance of climate change. In two online experiments, participants were asked to read a vignette which manipulated the race and income class of a climate victim (Study 1) or where only race was manipulated (Study 2). When participants perceive themselves to be similar to the hypothetical climate victim, they are more likely to donate to a climate organization (Study 2; 46.6% who perceive themselves to be similar versus 34.0% who perceive themselves to be different). We also find that Republican participants who perceive the climate victim as similar want action sooner than Republican participants who view the victim as different. Finally, participants who perceive the victim as similar to themselves also perceive climate change to be less psychologically distant. <br>
DOI: 10.5281/zenodo.7282382
title: Dataset and correlation matrix of topography, water quality and the number of species of macrophytes in the Akan Caldera lakes, Japan (2013–2014).

description: Akan Caldera lakes_1: Dataset of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes. Akan Caldera lakes_2: Correlation matrix of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.
DOI: 10.5281/zenodo.7282381
title: Dataset and correlation matrix of topography, water quality and the number of species of macrophytes in the Akan Caldera lakes, Japan (2013–2014).

description: Akan Caldera lakes_1: Dataset of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes. Akan Caldera lakes_2: Diagram illustrating the classification of the watershed variables. Akan Caldera lakes_3: Correlation matrix of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.
DOI: 10.5281/zenodo.7854141
title: Dataset and correlation matrix of topography, water quality and the number of species of macrophytes in the Akan Caldera lakes, Japan (2013–2014).

description: Akan Caldera lakes_1: Dataset of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes. Akan Caldera lakes_2: Diagram illustrating the classification of the watershed variables. Akan Caldera lakes_3: Correlation matrix of topography, water quality, and the number of species of macrophytes in the Akan Caldera lakes.
DOI: 10.6084/m9.figshare.22678111
title: Raw data , western blot and code.zip

description: The original data of the manuscript.
DOI: 10.6084/m9.figshare.22678111.v1
title: Raw data , western blot and code.zip

description: The original data of the manuscript.
DOI: 10.5281/zenodo.7853855
title: Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data

description: Flnc is software that can accurately identify full-length long noncoding RNAs (lncRNAs) from human RNA-seq data. lncRNAs are linear transcripts of more than 200 nucleotides that do not encode proteins. The most common approach for identifying lncRNAs from RNA-seq data which examines the coding abilities of assembled transcripts will result in a very high false-positive rate (30%-75%) of lncRNA identification. The falsely discovered lncRNAs lack transcriptional start sites and most of them are RNA fragments or result from transcriptional noise. Unlike the false-positive lncRNAs, true lncRNAs are full-length lncRNA transcripts that include transcriptional start sites (TSSs). To exclude these false lncRNAs, H3K4me3 chromatin immunoprecipitation sequencing (ChIP-seq) data had been used to examine transcriptional start sites of putative lncRNAs, which are transcripts without coding abilities. However, because of cost, time, and the limited availability of sample materials for generating H3K4me3 ChIP-seq data, most samples (especially clinical biospecimens) may have available RNA-seq data but lack matched H3K4me3 ChIP-seq data. This Flnc method solves the problem of lacking transcriptional initiation profiles when identifying lncRNAs. Flnc integrates seven machine-learning algorithms built with four genomic features. Flnc achieves state-of-the-art prediction power with a AUROC score over 0.92. Flnc significantly improves the prediction accuracy from less than 50% using the common approach to over 85% on five independent datasets without requiring matched H3K4me3 ChIP-seq data. In addition to the stranded polyA-selected RNA-seq data, Flnc can also be applied to identify lncRNAs from stranded RNA-seq data of ribosomal RNA depleted samples or unstranded RNA-seq data of polyA-selected samples.
DOI: 10.5281/zenodo.7853854
title: Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data

description: Flnc is software that can accurately identify full-length long noncoding RNAs (lncRNAs) from human RNA-seq data. lncRNAs are linear transcripts of more than 200 nucleotides that do not encode proteins. The most common approach for identifying lncRNAs from RNA-seq data which examines the coding abilities of assembled transcripts will result in a very high false-positive rate (30%-75%) of lncRNA identification. The falsely discovered lncRNAs lack transcriptional start sites and most of them are RNA fragments or result from transcriptional noise. Unlike the false-positive lncRNAs, true lncRNAs are full-length lncRNA transcripts that include transcriptional start sites (TSSs). To exclude these false lncRNAs, H3K4me3 chromatin immunoprecipitation sequencing (ChIP-seq) data had been used to examine transcriptional start sites of putative lncRNAs, which are transcripts without coding abilities. However, because of cost, time, and the limited availability of sample materials for generating H3K4me3 ChIP-seq data, most samples (especially clinical biospecimens) may have available RNA-seq data but lack matched H3K4me3 ChIP-seq data. This Flnc method solves the problem of lacking transcriptional initiation profiles when identifying lncRNAs. Flnc integrates seven machine-learning algorithms built with four genomic features. Flnc achieves state-of-the-art prediction power with a AUROC score over 0.92. Flnc significantly improves the prediction accuracy from less than 50% using the common approach to over 85% on five independent datasets without requiring matched H3K4me3 ChIP-seq data. In addition to the stranded polyA-selected RNA-seq data, Flnc can also be applied to identify lncRNAs from stranded RNA-seq data of ribosomal RNA depleted samples or unstranded RNA-seq data of polyA-selected samples.
DOI: 10.6084/m9.figshare.22678120
title: Raw data , western blot and code.zip

description: The original data of the manuscript
DOI: 10.6084/m9.figshare.22678117
title: Global distributions of 205 wide-range families with associated environmental variables

description: This is the global distribution data for 205 wide-range families involved in a macroecological study to investigate the scale dependence of environmental effects on plant distributions.
DOI: 10.6084/m9.figshare.22678117.v1
title: Global distributions of 205 wide-range families with associated environmental variables

description: This is the global distribution data for 205 wide-range families involved in a macroecological study to investigate the scale dependence of environmental effects on plant distributions.
DOI: 10.6084/m9.figshare.22678135
title: PLE-WfP data

description: reflective diaries of PhD participants
DOI: 10.6084/m9.figshare.22678135.v1
title: PLE-WfP data

description: reflective diaries of PhD participants
DOI: 10.5517/ccdc.csd.cc29yb8w
title: CCDC 2143348: Experimental Crystal Structure Determination

description: Related Article: Wen Wen, Qiang Liu, Shi‐Hui Zhang, Nian‐Tao Yao, Hiroki Oshio, Yin‐Shan Meng, Tao Liu|2022|Angew.Chem.,Int.Ed.|61|e202208886|doi:10.1002/anie.202208886
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.cc29ybcz
title: CCDC 2143351: Experimental Crystal Structure Determination

description: Related Article: Wen Wen, Qiang Liu, Shi‐Hui Zhang, Nian‐Tao Yao, Hiroki Oshio, Yin‐Shan Meng, Tao Liu|2022|Angew.Chem.,Int.Ed.|61|e202208886|doi:10.1002/anie.202208886
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.cc29ymnk
title: CCDC 2143639: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Elsa Caytan, Marie Cordier, Thierry Roisnel, Grégory Taupier, Yann Molard, Nicolas Vanthuyne, Boris Le Guennic, Muriel Hissler, Denis Jacquemin, Pierre-Antoine Bouit|2022|Angew.Chem.,Int.Ed.|61|e202205548|doi:10.1002/anie.202205548
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.cc29ymrn
title: CCDC 2143642: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Elsa Caytan, Marie Cordier, Thierry Roisnel, Grégory Taupier, Yann Molard, Nicolas Vanthuyne, Boris Le Guennic, Muriel Hissler, Denis Jacquemin, Pierre-Antoine Bouit|2022|Angew.Chem.,Int.Ed.|61|e202205548|doi:10.1002/anie.202205548
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.