cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24xfr8
title: CCDC 1993540: Experimental Crystal Structure Determination

description: Related Article: Tsz-Fai Leung, Dandan Jiang, Ming-Chun Wu, Dengmengfei Xiao, Wei-Min Ching, Glenn P. A. Yap, Tao Yang, Lili Zhao, Tiow-Gan Ong, Gernot Frenking|2021|Nature Chemistry|13|89|doi:10.1038/s41557-020-00579-w
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.cc24xfs9
title: CCDC 1993541: Experimental Crystal Structure Determination

description: Related Article: Tsz-Fai Leung, Dandan Jiang, Ming-Chun Wu, Dengmengfei Xiao, Wei-Min Ching, Glenn P. A. Yap, Tao Yang, Lili Zhao, Tiow-Gan Ong, Gernot Frenking|2021|Nature Chemistry|13|89|doi:10.1038/s41557-020-00579-w
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.cc24xftb
title: CCDC 1993542: Experimental Crystal Structure Determination

description: Related Article: Tsz-Fai Leung, Dandan Jiang, Ming-Chun Wu, Dengmengfei Xiao, Wei-Min Ching, Glenn P. A. Yap, Tao Yang, Lili Zhao, Tiow-Gan Ong, Gernot Frenking|2021|Nature Chemistry|13|89|doi:10.1038/s41557-020-00579-w
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.cc24y0sx
title: CCDC 1994099: Experimental Crystal Structure Determination

description: Related Article: Falk William Seidel, Izumi Tomizawa, Kyoko Nozaki|2020|Angew.Chem.,Int.Ed.|59|22591|doi:10.1002/anie.202009027
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.cc2544l2
title: CCDC 1999983: Experimental Crystal Structure Determination

description: Related Article: Matthias Hempe, Alastair K. Harrison, Jonathan S. Ward, Andrei S. Batsanov, Mark A. Fox, Fernando B. Dias, Martin R. Bryce|2021|J.Org.Chem.|86|429|doi:10.1021/acs.joc.0c02174
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.cc2544m3
title: CCDC 1999984: Experimental Crystal Structure Determination

description: Related Article: Matthias Hempe, Alastair K. Harrison, Jonathan S. Ward, Andrei S. Batsanov, Mark A. Fox, Fernando B. Dias, Martin R. Bryce|2021|J.Org.Chem.|86|429|doi:10.1021/acs.joc.0c02174
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.cc2544n4
title: CCDC 1999985: Experimental Crystal Structure Determination

description: Related Article: Matthias Hempe, Alastair K. Harrison, Jonathan S. Ward, Andrei S. Batsanov, Mark A. Fox, Fernando B. Dias, Martin R. Bryce|2021|J.Org.Chem.|86|429|doi:10.1021/acs.joc.0c02174
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.cc2544p5
title: CCDC 1999986: Experimental Crystal Structure Determination

description: Related Article: Matthias Hempe, Alastair K. Harrison, Jonathan S. Ward, Andrei S. Batsanov, Mark A. Fox, Fernando B. Dias, Martin R. Bryce|2021|J.Org.Chem.|86|429|doi:10.1021/acs.joc.0c02174
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.cc2577ym
title: CCDC 2002970: Experimental Crystal Structure Determination

description: Related Article: Bartosz Stasiak, Agnieszka Czapik, Marcin Kwit|2021|J.Org.Chem.|86|643|doi:10.1021/acs.joc.0c02289
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.cc2577zn
title: CCDC 2002971: Experimental Crystal Structure Determination

description: Related Article: Bartosz Stasiak, Agnieszka Czapik, Marcin Kwit|2021|J.Org.Chem.|86|643|doi:10.1021/acs.joc.0c02289
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.cc25780q
title: CCDC 2002972: Experimental Crystal Structure Determination

description: Related Article: Bartosz Stasiak, Agnieszka Czapik, Marcin Kwit|2021|J.Org.Chem.|86|643|doi:10.1021/acs.joc.0c02289
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.cc25781r
title: CCDC 2002973: Experimental Crystal Structure Determination

description: Related Article: Bartosz Stasiak, Agnieszka Czapik, Marcin Kwit|2021|J.Org.Chem.|86|643|doi:10.1021/acs.joc.0c02289
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.cc25782s
title: CCDC 2002974: Experimental Crystal Structure Determination

description: Related Article: Bartosz Stasiak, Agnieszka Czapik, Marcin Kwit|2021|J.Org.Chem.|86|643|doi:10.1021/acs.joc.0c02289
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.cc243wnt
title: CCDC 1969946: Experimental Crystal Structure Determination

description: Related Article: Ning Xu, Toshikazu Ono, Yoshitsugu Morita, Teruyuki Komatsu, Yoshio Hisaeda|2021|Inorg.Chem.|60|574|doi:10.1021/acs.inorgchem.0c01266
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.cc243wrx
title: CCDC 1969949: Experimental Crystal Structure Determination

description: Related Article: Ning Xu, Toshikazu Ono, Yoshitsugu Morita, Teruyuki Komatsu, Yoshio Hisaeda|2021|Inorg.Chem.|60|574|doi:10.1021/acs.inorgchem.0c01266
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.cc243wsy
title: CCDC 1969950: Experimental Crystal Structure Determination

description: Related Article: Ning Xu, Toshikazu Ono, Yoshitsugu Morita, Teruyuki Komatsu, Yoshio Hisaeda|2021|Inorg.Chem.|60|574|doi:10.1021/acs.inorgchem.0c01266
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.cc25knyc
title: CCDC 2012983: Experimental Crystal Structure Determination

description: Related Article: Valentina Stefanou,  Dimitris Matiadis,  Dimitrios Tsironis,  Olga Igglessi-Markopoulou,  Vickie Mckee,  John Markopoulos|2022|J.Coord.Chem.|75|1|doi:10.1080/00958972.2022.2139611
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.cc25knzd
title: CCDC 2012984: Experimental Crystal Structure Determination

description: Related Article: Valentina Stefanou,  Dimitris Matiadis,  Dimitrios Tsironis,  Olga Igglessi-Markopoulou,  Vickie Mckee,  John Markopoulos|2022|J.Coord.Chem.|75|1|doi:10.1080/00958972.2022.2139611
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.cc25kp0g
title: CCDC 2012985: Experimental Crystal Structure Determination

description: Related Article: Valentina Stefanou,  Dimitris Matiadis,  Dimitrios Tsironis,  Olga Igglessi-Markopoulou,  Vickie Mckee,  John Markopoulos|2022|J.Coord.Chem.|75|1|doi:10.1080/00958972.2022.2139611
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: 10.35078/dfrhcn
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni | Município: Águas Formosas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.25387/g3.20032082
title: Supplemental Material for Rondeau et al., 2022

description: Nucleotide variants were called using GATK version 3.8 with the coho salmon RefSeq genome assembly GCF_002021735.2 (GenBank assembly accession GCA_002021735.2). Samples were from the following NCBI BioProjects: PRJNA401427 and PRJNA808051.
DOI: 10.25387/g3.20032082.v1
title: Supplemental Material for Rondeau et al., 2022

description: Nucleotide variants were called using GATK version 3.8 with the coho salmon RefSeq genome assembly GCF_002021735.2 (GenBank assembly accession GCA_002021735.2). Samples were from the following NCBI BioProjects: PRJNA401427 and PRJNA808051.
DOI: 10.22029/jlupub-9412
title: Data for "Diversity, biogeography, and evolution of European freshwater gastropods through time: a voyage across scales"

description: The dataset contains the taxonomic, geographic, and stratigraphic data on freshwater mollusks used in the habilitation thesis of T. A. Neubauer at JLU (2023). The dataset is divided into four parts: 1. species occurrence data for fossil European and North American freshwater gastropods from the Triassic to the Pleistocene. This includes information on geography, taxonomy/systematics, stratigraphy, and literature sources. The information was acquired over the past 10 years from the primary literature and constantly updated. Parts were published in previous papers by the author. 2. A species list of all fossil and extant fresh- and brackish-water Mollusca stored in the online database MolluscaBase (https://molluscabase.org/), as of 3 January 2023. 3. Distribution data in the form of geographic polygon names for all taxa in (2), as of 19 December 2022. 4. Fossil age data for all taxa in (2), as of 19 December 2022. Disclaimer: Data from MolluscaBase are used and stored with kind permission. MolluscaBase and its parent, the World Register of Marine Species (WoRMS, https://www.marinespecies.org/), is constantly updated and thus contain the most recent available information on the species and associated distribution and age information.
DOI: 10.6084/m9.figshare.21803154.v1
title: Supplementary Material for: Higher prevalence of generalized pustular psoriasis in Asia? A population-based study using claim data in China and a systematic review

description: Background: Few studies have reported the burden of generalized pustular psoriasis (GPP), a severe and potentially life-threatening skin disease, especially at a national level. Objectives: To estimate the nationwide burden of GPP in China and make a systemic review of the published data. Methods: We conducted a population-based study using Urban Basic Medical Insurance in China from 2012 to 2016. GPP cases were identified by primary diagnoses including the international classification of Diseases codes (ICD-10: L40.1 and ICD-9: 694.3). A systematic review was conducted using relevant databases up to January 2022. Results: The crude prevalence and incidence of GPP in 2016 were 1.403 (95% confidence interval [CI]: 1.115– 1.691) and 0.629 (95% CI: 0.483 – 0.775) per 100,000 person-years, respectively. The rates were higher in males than in females for both prevalence (1.429 vs. 1.135) and incidence (0.635 vs. 0.520). The prevalence and incidence showed a bimodal age distribution, with the first peak occurring in the 0–3 years age group and the second peak occurring in the 30–39 years age group. The per-capita total cost per year for one patient with GPP was 609.26 (±45.77) U.S. dollars. Seven studies were identified in a systematic review, according to which the prevalence (per 100,000) of GPP tended to be higher in Asian countries (0.746 – 8.178 in Japan and 12.230 in Korea) than in France (0.176), Sweden (6.25) and Brazil (0.7). Conclusions: This is the largest study concerning the disease burden of GPP, and in this study, the prevalence seemed to be higher in Asia. Although the direct economic burden of GPP did not seem high during the study period, the future usage of biologics and the humanistic burden should also be considered for policy-related decision-making.
DOI: 10.5281/zenodo.7595293
title: AMCDroid

description: These files are the experiment data of AMCDroid. (1) is the dataset used in the experiment; (2) is the malicious component detection result of the running example; (3) to (7) are the experiment data in RQ1 to RQ5; (8) is the malicious component detection result of Roaming Mantis; and (9) is the malicious component detection result in internal validity. We will open source the code of AMCDroid after our paper is accepted.
DOI: 10.5281/zenodo.7595292
title: AMCDroid

description: These files are the experiment data of AMCDroid. (1) is the dataset used in the experiment; (2) is the malicious component detection result of the running example; (3) to (7) are the experiment data in RQ1 to RQ5; (8) is the malicious component detection result of Roaming Mantis; and (9) is the malicious component detection result in internal validity. We will open source the code of AMCDroid after our paper is accepted.
DOI: 10.25430/researchdata.cab.unipd.it.00000827
title: Second line tests in the differential diagnosis of neoplastic and non-neoplastic hypercortisolism: a systematic review and meta-analysis

description: Introduction: The clinical and hormonal overlap between neoplastic (CS) and non-neoplastic (NNH/pCS) hypercortisolism is a well-known challenge. The gold standard for the diagnosis of NNH/pCS is the resolution/lack of progression of the hypercortisolism over an adequate follow-up period. Various dynamic tests have been proposed to allow an early discrimination between these conditions, but to date there is no agreement on which of them should be used. Aim: To provide an overview of the available tests and to obtain a quantitative synthesis of their diagnostic performance in discriminating NNH/pCS from CS. Methods: An extensive search in Ovid (including Cochrane, Medline and Embase databases) was performed for articles published between 1990 and 2022. The included articles applied one or more second-line tests to differentiate NNH/pCS from CS patients. For the NNH/pCS group, we admitted the inclusion of patients presenting clinical features and/or biochemical findings suggestive of hypercortisolism despite apparent lack of a pCS-related condition. Results: The electronic search identified 339 articles. After references analysis and study selection, we identified 9 studies on combined dexamethasone-corticotropin releasing hormone (Dex-CRH) test, 4 on Desmopressin test and 3 on CRH test; no study on Dex-Desmopressin met the inclusion criteria. Dex-CRH test provided the highest sensitivity (97%, 95CI% [88%; 99%]). CRH tests showed excellent specificity (99%, 95%CI [0%; 100%]), but its sensitivity was lacking. Although metaregression analysis based on diagnostic odds ratio failed to provide a gold standard, CRH test (64.77, 95%CI [0.15; 27174.73]) seemed to lack in performance compared to the others (Dex-CRH 138.83, 95%CI [49.38; 390.32] and Desmopressin 110.44, 95%CI [32.13; 379.63]). Discussion: Both Dex-CRH and Desmopressin tests are valid tools in discriminating NNH/pCS from CS patients, with the first probably achieving slightly better performance and the latter being more suitable for clinical practice. We do not recommend CRH test alone in this setting, although its combination with other tests could be further researched. Further studies are needed on this topic, possibly focusing on mild Cushing’s Disease and clinically well-characterized NNH/pCS patients.
DOI: 10.5287/bodleian:mzekjr4xn
title: Phenotypic heterogeneity in the bacterial oxidative stress response is driven by cell-cell interactions

description: This material relates to the article 'Phenotypic heterogeneity in the bacterial oxidative stress response is driven by cell-cell interactions' by Choudhary et al. The quantitative microscopy data collected from the microfluidics imaging experiments were processed using BACMMAN software (Ollion et al. Nat Protoc. 2019, 3144-3161. doi: 10.1038/s41596-019-0216-9.) and then processed using custom Python code. This folder contains: (A) The output files obtained from BACMMAN for all experiments described in the article by Choudhary et al. (B) Python codes that were used to generate the data plots in the article by Choudhary et al . Details of the data collection and analysis procedures can be found in the accompanying article.The folders are named as 'Concentration of H2O2 used'_'Promoter'_'Any changes to default experiment protocol'. Default experiment protocol refers to wild-type E. coli bacteria growing in 1.2 um trenches that were fully loaded and provided with a step treatment of H2O2 and imaged with a time-lag between frames of 3 minutes. These folders are : (1)100uM_Pahpc_default (2)100uM_PgrxA_1p4 (3)100uM_PgrxA_1p4,lowload (4)100uM_PgrxA_45secResolution (5)100uM_PgrxA_default (6)100uM_PgrxA_DoxyRandWTmix (7)100uM_PgrxA_InactiveWTmix (8)100uM_PgrxA_Lowloading (9)100um_PgrxA_oxyRMutant (10)100uM_PgrxA_Pulses (11)100uM_Pkatg_default (12)500uM_PgrxA_grad (13)500uM_PgrxA_PIStain (14)500uM_PgrxA_step Each of the folders contains subfolders pertaining to different experiments performed in the given conditions. Each subfolder contains BACMMAN output files named as 'SubFolderName'_'0 or 1 or 2 or 3'. Here, 0 relates to measurements of growth channels tracked over time to correct for any drifts while imaging. 1 relates to measurements of the cell mask from the mKate2 cell segmentation marker signal. 2 relates to measurements of CFP fluorescence inside the segmented cell masks. 3 relates to MutL-mYPet foci detection in the segmented cell masks. The folder also contains the BACMMAN config file used for each experiment. The other folders: (15) ExperimentsForCalibration: contains the BACMMAN output files of the experiments that were used for calibration experiments performed at different H2O2 concentrations. (16) ExperimentsForMachineLearningAnalysis: contains BACMMAN output files of experiments for Machine Learning Analysis. (17) Experiment_details.CSV contains details of each experiment, such as the time of H2O2 treatment and the ROIs used in analysis (annotated as ‘Position’ in the data files). (18) Figures_codes : contains Python codes for generating the figures in accompanying article. The subheading in each code file correspond to different panels within the same figures.