cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21swf5
title: CCDC 1900747: Experimental Crystal Structure Determination

description: Related Article: Yoshinori Ikumura, Yusuke Habuka, Shunichiro Sakai, Takanori Shinohara, Hidetaka Yuge, Izabela I. Rzeznicka, Akiko Hori|2020|Chem.-Eur.J.|26|5051|doi:10.1002/chem.201905740
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.cc2765c0
title: CCDC 2061511: Experimental Crystal Structure Determination

description: Related Article: Hiroko Tokoro, Naotaka Maeda, Kenta Imoto, Koji Nakabayashi, Kouji Chiba, Shin-ichi Ohkoshi|2021|J.Mater.Chem.C|9|10689|doi:10.1039/D1TC01048D
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: 10.48328/tudatalib-1213
title: The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures

description: TYC dataset proposed in the paper "The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures" [ICCVW 2023]. Project page: https://christophreich1996.github.io/tyc_dataset/ Code: https://github.com/ChristophReich1996/TYC-Dataset
DOI: 10.5281/zenodo.8278666
title: Differential regulation of the proteome and phosphosproteome along the dorso-ventral axis of the early Drosophila embryo

description: Manuscript abstract: The initially homogeneous epithelium of the early <em>Drosophila</em> embryo differentiates into regional subpopulations with different behaviours and physical properties that are needed for morphogenesis. The factors at top of the genetic hierarchy that control these behaviours are known, but many of their targets are not. To understand how proteins work together to mediate differential cellular activities, we studied in an unbiased manner the proteomes and phosphoproteomes of the three main cell populations along the dorso-ventral axis during gastrulation using mutant embryos that represent the different populations. We detected 6111 protein groups and 6259 phosphosites of which 3399 and 3433 respectively, were differentially regulated. The changes in phosphosite abundance did not correlate with changes in host protein abundance, showing phosphorylation to be a regulatory step during gastrulation. Hierarchical clustering of protein groups and phosphosites identified clusters that contain known fate determinants such as Doc1, Sog, Snail and Twist. The recovery of the appropriate known marker proteins in each of the different mutants we used validated the approach, but also revealed that two mutations that both interfere with the dorsal fate pathway, <em>Toll<sup>10B</sup></em> and <em>serpin27a<sup>ex</sup></em> do this in very different manners. Diffused network analyses within each cluster point to microtubule components as one of the main groups of regulated proteins. Functional studies on the role of microtubules provide the proof of principle that microtubules have different functions in different domains along the DV axis of the embryo. ---- Supplementary tables 1-12 corresponding to the corresponding manuscript/article. Please refer to the doc file: GomezJMetal_guideline_Supplementary_Tables.docx for description of each table.
DOI: 10.5281/zenodo.8278665
title: Differential regulation of the proteome and phosphosproteome along the dorso-ventral axis of the early Drosophila embryo

description: Manuscript abstract: The initially homogeneous epithelium of the early <em>Drosophila</em> embryo differentiates into regional subpopulations with different behaviours and physical properties that are needed for morphogenesis. The factors at top of the genetic hierarchy that control these behaviours are known, but many of their targets are not. To understand how proteins work together to mediate differential cellular activities, we studied in an unbiased manner the proteomes and phosphoproteomes of the three main cell populations along the dorso-ventral axis during gastrulation using mutant embryos that represent the different populations. We detected 6111 protein groups and 6259 phosphosites of which 3399 and 3433 respectively, were differentially regulated. The changes in phosphosite abundance did not correlate with changes in host protein abundance, showing phosphorylation to be a regulatory step during gastrulation. Hierarchical clustering of protein groups and phosphosites identified clusters that contain known fate determinants such as Doc1, Sog, Snail and Twist. The recovery of the appropriate known marker proteins in each of the different mutants we used validated the approach, but also revealed that two mutations that both interfere with the dorsal fate pathway, <em>Toll<sup>10B</sup></em> and <em>serpin27a<sup>ex</sup></em> do this in very different manners. Diffused network analyses within each cluster point to microtubule components as one of the main groups of regulated proteins. Functional studies on the role of microtubules provide the proof of principle that microtubules have different functions in different domains along the DV axis of the embryo. ---- Supplementary tables 1-12 corresponding to the corresponding manuscript/article. Please refer to the doc file: GomezJMetal_guideline_Supplementary_Tables.docx for description of each table.
DOI: 10.17909/x66z-p144
title: CECILIA
DOI: 10.6084/m9.figshare.24024855
title: new raw data.zip

description: 1. Transcriptomic information of patients with esophageal cancer and data related to survival and immune cell infiltration2. Bioinformatics analysis data of ferrotosis related genes in esophageal cancer
DOI: 10.6084/m9.figshare.24024855.v1
title: new raw data.zip

description: 1. Transcriptomic information of patients with esophageal cancer and data related to survival and immune cell infiltration2. Bioinformatics analysis data of ferrotosis related genes in esophageal cancer
DOI: 10.25829/d6rz-mf03
title: Soil organic carbon and total nitrogen from the old and new (dBEF) monoculture plots in 2020

description: We assessed the soil organic carbon and total nitrogen content in the bulk soil of 120 monoculture plots, comprising both old and new plots. The old monoculture plots, originally established in 2002, feature a diverse range of 60 plant species, whereas the new monoculture plots, also with 60 species, were established in 2016. The soil of the new monoculture plots was replaced by soil of an adjacent arable field, and the plots were sown with seeds from the same seed supplier as done in 2002. The soil sampling campaign was conducted between May 18th and June 5th, 2020.
DOI: 10.5517/cc55q67
title: CCDC 154448: Experimental Crystal Structure Determination

description: Related Article: A.G.Shipov, E.P.Kramarova, O.B.Artamkina, V.V.Negrebetskii, N.A.Kalashnikova, Yu.E.Ovchinnikov, S.A.Pogozhikh, Yu.I.Baukov|2000|Zh.Obshch.Khim.|70|954|
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/cc8qz75
title: CCDC 260407: Experimental Crystal Structure Determination

description: Related Article: Ji-Xin Yuan, Hong-Ping Xiao, Mao-Lin Hu|2004|Z.Kristallogr.-New Cryst.Struct.|219|224|
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/cczdjwr
title: CCDC 905785: Experimental Crystal Structure Determination

description: Related Article: Zhen Wei,Peng-Fei Zhu,Ya-Qin Zhang,Feng-Wan Guo,Xiao-Ting Qi,Juan Wang|2013|Wuji Huaxue Xuebao|29|1089|
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/cc11nmnz
title: CCDC 973141: Experimental Crystal Structure Determination

description: Related Article: Jeffrey T. Bien, Prashant P. Deshpande, John D. Dimarco, Jack Z. Gougoutas, John Anthony Grosso, Chiajen Lai, Hildegard Lobinger, Alexandra A. Nirschl, Srividya Ramakrishnan, Peter Riebel, Janak Singh, Chenchi Wang|2009|U.S.Patents|||
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.cc1nj4kw
title: CCDC 1534858: Experimental Crystal Structure Determination

description: Related Article: Jun Zhang, Wataru Kosaka, Susumu Kitagawa, Masaki Takata, Hitoshi Miyasaka|2019|Chem.-Eur.J.|25|3020|doi:10.1002/chem.201805833
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.cc1pmc2r
title: CCDC 1567734: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Kingsbury, Brendan F. Abrahams, Richard Robson|2017|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: 10.5517/ccdc.csd.cc1zqt8s
title: CCDC 1839176: Experimental Crystal Structure Determination

description: Related Article: Ekaterina M. Feklicheva, Victor    B. Rybakov, Eugene    V. Babaev|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: 10.5517/ccdc.csd.cc228hql
title: CCDC 1914799: Experimental Crystal Structure Determination

description: Related Article: Rongrong Liu, Pingning Jin, Jing-Huo Chen, Guang Yang, Wenhua Zhang|2019|Transition Met.Chem.|44|755|doi:10.1007/s11243-019-00345-z
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.cc215ymt
title: CCDC 1882556: Experimental Crystal Structure Determination

description: Related Article: S.L. Tan, E.R.T. Tiekink|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1|doi:10.1107/S2056989018017097
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.cc21htw8
title: CCDC 1892050: Experimental Crystal Structure Determination

description: Related Article: Chao Wang, Chao Liu, Lei- Jiao Li, Zhong-Ming Sun|2019|Inorg.Chem.|58|6312|doi:10.1021/acs.inorgchem.9b00508
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.cc23tw94
title: CCDC 1961286: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Hannah Skipper|2019|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: 10.5517/ccdc.csd.cc23p8lp
title: CCDC 1956862: Experimental Crystal Structure Determination

description: Related Article: Abeer F. Shunnar, Bhausaheb Dhokale, Durga Prasad Karothu, David H. Bowskill, Isaac J. Sugden, Hector H. Hernandez, Panče Naumov, Sharmarke Mohamed|2020|Chem.-Eur.J.|26|4752|doi:10.1002/chem.201904672
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.cc27x45h
title: CCDC 2082616: Experimental Crystal Structure Determination

description: Related Article: Debasish Dutta, Pranay Sharma, Rosa M. Gomila, Antonio Frontera, Miquel Barcelo-Oliver, Akalesh K. Verma, Bandita Baruwa, Manjit K. Bhattacharyya|2022|New J.Chem.|46|5638|doi:10.1039/D1NJ05234A
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: 10.6084/m9.figshare.24024783.v1
title: Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling

description: As part of the Quartet Project, we extracted metabolites from four immortalized B-lymphoblastoid cell lines derived from a Chinese quartet family to provide a publicly available suite of metabolite reference materials. Each aliquot contains dried metabolite extracts from approximately 10<sup>6</sup> cells, suitable for evaluating metabolomics analysis including chromatography separation, mass spectrometry detection, and data processing.In the current study, we generated 264 metabolomic profiles from different laboratories using targeted and untargeted strategies to assess inter-laboratory proficiency. Quantification was done by relative abundance for untargeted techniques and multiple reaction monitoring for targeted techniques, except one lab (T-L4) which used standard curves.
DOI: 10.11583/dtu.22094657.v1
title: Baltic Sea Salmon Authentication

description: The data is official food control data of dioxin and PCB concentration level that were analysed in salmon samples acquired by the Danish Veterinary and Food Administration (Fødevarestyrelsen). One-class classification models (data driven soft independent modelling of class analogy (DD-SIMCA)) were built for the authentication of the geographical origin of Baltic Sea salmon using the mdatools package https://www.mdatools.com/ (please refer to References). The script and the data can be viewed as presented or modified (e.g. different combinations of training and test set data can be tested). In addition, the suggested DD-SIMCA models can be applied to new independent Dioxin and PCB profiling data (please refer to the license text). <br> References: Kucheryavskiy S (2020). “mdatools — R package for chemometrics.” Chemometrics and Intelligent Laboratory Systems, 198. https://doi.org/10.1016/j.chemolab.2020.103937
DOI: 10.11583/dtu.22094657
title: Baltic Sea Salmon Authentication

description: The data is official food control data of dioxin and PCB concentration level that were analysed in salmon samples acquired by the Danish Veterinary and Food Administration (Fødevarestyrelsen). One-class classification models (data driven soft independent modelling of class analogy (DD-SIMCA)) were built for the authentication of the geographical origin of Baltic Sea salmon using the mdatools package https://www.mdatools.com/ (please refer to References). The script and the data can be viewed as presented or modified (e.g. different combinations of training and test set data can be tested). In addition, the suggested DD-SIMCA models can be applied to new independent Dioxin and PCB profiling data (please refer to the license text). <br> References: Kucheryavskiy S (2020). “mdatools — R package for chemometrics.” Chemometrics and Intelligent Laboratory Systems, 198. https://doi.org/10.1016/j.chemolab.2020.103937
DOI: 10.6084/m9.figshare.24024954
title: Crataegus monogyna chorology

description: Distribution map of <i>Crataegus monogyna</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br>Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br>Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901<br>Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01<br>
DOI: 10.6084/m9.figshare.24024954.v1
title: Crataegus monogyna chorology

description: Distribution map of <i>Crataegus monogyna</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br>Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br>Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901<br>Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01<br>
DOI: 10.5281/zenodo.8276602
title: Molecular, biochemical and metabolomics analyses reveal constitutive and pathogen-induced defense responses of two sugarcane contrasting genotypes against leaf scald disease

description: Leaf scald caused by the bacteria <em>Xanthomonas albilineans</em> is one of the major concerns to sugarcane production. To breed for resistance, mechanisms underlying plant-pathogen interaction need deeper investigations. Herein, we evaluated sugarcane defense responses against <em>X. albilineans</em> using molecular and biochemical approaches to assess pathogen-triggered ROS, phytohormones and metabolomics in two contrasting sugarcane genotypes from 0.5-144 h post-inoculation (hpi). In addition, the infection process was monitored using TaqMan-based quantification of <em>X. albilineans</em> and the disease symptoms were evaluated in both genotypes after 15 d post-inoculation (dpi) The susceptible genotype presented a response to the infection at 0.5 hpi, accumulating defense-related metabolites such as phenolics and flavonoids with no significant defense responses thereafter, resulting in typical symptoms of leaf scald at 15 dpi. The resistant genotype did not respond to the infection at 0.5 hpi but constitutively presented higher levels of salicylic acid and of the same metabolites induced by the infection in the susceptible genotype. Moreover, two subsequent pathogen-induced metabolic responses at 12 and 144 hpi were observed only in the resistant genotype in terms of amino acids, quinic acids, coumarins, polyamines, flavonoids, phenolics and phenylpropanoids together with an increase of hydrogen peroxide, ROS-related genes expression, indole-3-acetic-acid and salicylic acid. Multilevel approaches revealed that constitutive chemical composition and metabolic reprogramming hampers the development of leaf scald at 48 and 72 hpi, reducing the disease symptoms in the resistant genotype at 15 dpi. Phenylpropanoid pathway is suggested as a strong candidate marker for breeding sugarcane resistant to leaf scald.