cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7590809
title: Clinically approved small molecule antibiotics since 2010

description: Properties of clinically approved small molecule antibiotics since 2010 are summarized. Properties include: Name Year approved Origin Mechanism of action Indication Administration Spectrum Protein binding Resistance Smiles Molweight cLogP cLogS H-Acceptors H-Donors Druglikeness DrugScore Total Molweight Monoisotopic Mass Total Surface Area Relative PSA Polar Surface Area LE from Molweight LLE from Molweight LELP from Molweight Shape Index Molecular Flexibility Molecular Complexity Structure of Smiles [idcode] Propeties in rows B to I were retrieved from the references cited in the dataset. <br> Properties in rows K - AC were calculated with DataWarrior. https://openmolecules.org/datawarrior/index.html
DOI: 10.25392/leicester.data.22700146.v1
title: EDAC data with SEP detections

description: This dataset contains housekeeping data Error Detection and Correction (EDAC) memory counters from 7 different missions of the European Space Agency with clear detections of Solar Energetic Particles. The missions are Venus Express, Mars Express, ExoMars-Trace Gas Orbiter, Rosetta, BepiColombo, Solar Orbiter and Gaia. <br> EDACs are pieces of code that protect memories in a spacecraft computer from bit-flips caused by single event upsets. <br> Data shown here are part of the paper entilted: "Solar energetic particle events detected in the housekeeping data of the European Space Agency’s spacecraft flotilla in the Solar System" in the journal <em>Space Weather.</em> <br> If this dataset is used, please contact: Dr Beatriz Sanchez-Cano, bscmdr1@leicester.ac.uk <br>
DOI: 10.6084/m9.figshare.19362029
title: Appendix S1: Correspondence and aggregation for Tracheophyte names

description: This dataset contains only the work of taxonomic attributions for tracheophytes realized by the expert Dr. Pascal Vittoz. We concatenate, aggregate 2212 tracheophytes species observed into the rechalp area (Vaud prealp, Vaud Canton - Switzerland) into a list of 1817 sp. <br> Appendix from Rey et al 2023 <strong>Article Title : </strong>Linking plant and vertebrate species to Nature’s Contributions to People in the Swiss Alps<br> <strong>DOI : </strong>10.1038/s41598-023-34236-2 <br>
DOI: 10.6084/m9.figshare.22730954
title: Orthogroups file

description: Orthogroups file
DOI: 10.6084/m9.figshare.22730951
title: Dataset that contains raw gene count for the RNAseq listed in Table S2.

description: Dataset that contains raw gene count for the RNAseq listed in Table S2 (Comparative phylotranscriptomics reveals ancestral and derived root nodule symbiosis programs).
DOI: 10.5525/gla.researchdata.1431
title: Phenomenological analysis of simple ion channel block in large populations of uncoupled cardiomyocytes

description: Data used to generate the plots of the article (Phenomenological analysis of simple ion channel block in large populations of uncoupled cardiomyocytes). The data is either in ascii text ".CSV" format or in the format of Python ".PY" files.
DOI: 10.6084/m9.figshare.19222830
title: Appendix S2: Methods to establish relationship between Biodiversity & NCPs

description: This dataset contains the definition of the 17 NCPs selected with the CICES (V.5.1) and the Switzerland ES (Staub et al. 2011) classification and also the methodology to evaluate each NCP for each taxonomic group (vertebrates and thracheophytes). --- <br> Content: <br> 1."Def-Methods NCP_English" <br> 2."Bibliography" # references used for each BD x NCP relationship. <br> 3."CICES classif - feasability" # estimation of the feasability to create a relationship between each class of NCPs and species. <br> --- Appendix from Rey et al 2023 <strong>Article Title : </strong>Linking plant and vertebrate species to Nature’s Contributions to People in the Swiss Alps <strong>DOI : </strong>10.1038/s41598-023-34236-2
DOI: 10.6084/m9.figshare.7447388.v1
title: A conceptual framework for studying collective reactions to events in location-based social media

description: Events are a core concept of spatial information, but location-based social media (LBSM) provide information on reactions to events. Individuals have varied degrees of agency in initiating, reacting to or modifying the course of events, and reactions include observations of occurrence, expressions containing sentiment or emotions, or a call to action. Key characteristics of reactions include referent events and information about who reacted, when, where and how. Collective reactions are composed of multiple individual reactions sharing common referents. They can be characterized according to the following dimensions: spatial, temporal, social, thematic and interlinkage. We present a conceptual framework, which allows characterization and comparison of collective reactions. For a thematically well-defined class of event such as storms, we can explore differences and similarities in collective attribution of meaning across space and time. Other events may have very complex spatio-temporal signatures (e.g. political processes such as Brexit or elections), which can be decomposed into series of individual events (e.g. a temporal window around the result of a vote). The purpose of our framework is to explore ways in which collective reactions to events in LBSM can be described and underpin the development of methods for analysing and understanding collective reactions to events.
DOI: 10.6084/m9.figshare.7447388
title: A conceptual framework for studying collective reactions to events in location-based social media

description: Events are a core concept of spatial information, but location-based social media (LBSM) provide information on reactions to events. Individuals have varied degrees of agency in initiating, reacting to or modifying the course of events, and reactions include observations of occurrence, expressions containing sentiment or emotions, or a call to action. Key characteristics of reactions include referent events and information about who reacted, when, where and how. Collective reactions are composed of multiple individual reactions sharing common referents. They can be characterized according to the following dimensions: spatial, temporal, social, thematic and interlinkage. We present a conceptual framework, which allows characterization and comparison of collective reactions. For a thematically well-defined class of event such as storms, we can explore differences and similarities in collective attribution of meaning across space and time. Other events may have very complex spatio-temporal signatures (e.g. political processes such as Brexit or elections), which can be decomposed into series of individual events (e.g. a temporal window around the result of a vote). The purpose of our framework is to explore ways in which collective reactions to events in LBSM can be described and underpin the development of methods for analysing and understanding collective reactions to events.
DOI: 10.6084/m9.figshare.19182632
title: Appendix S3: Biodiversity and NCP relationship table

description: The data contains two distinct tables showing the relationship between biodiversity and 17 NCPs. ---<br> Content: <br> 1. "Vertebrates x NCPs relationship" 250 vertebrates and 9 NCPs considered <br> 2."Tracheoph x NCPs relationship" 1817 tracheophytes (vascular plants) and 16 NCPs --- Appendix from Rey et al 2023 <strong>Article Title : </strong>Linking plant and vertebrate species to Nature’s Contributions to People in the Swiss Alps <strong>DOI : </strong>10.1038/s41598-023-34236-2
DOI: 10.5281/zenodo.7885904
title: Continuous T-Wise Coverage (SPLC Submission 9249)

description: Supplementary data package for splc23 submission 9249
DOI: 10.5281/zenodo.7885905
title: Continuous T-Wise Coverage (SPLC Submission 9249)

description: Supplementary data package for splc23 submission 9249
DOI: 10.5281/zenodo.7885909
title: Two-minute DAS ambient noise data recorded by Stanford DAS Array-1

description: This repository contains the preprocessed 2-minute DAS ambient noise data recorded by the Stanford DAS Array-1 and the 1D shear-wave velocity model published in Spica et al. (2020) used in the manuscript entitled "On beamforming of DAS ambient noise recorded in an urban environment and Rayleigh-to-Love wave ratio estimation" by Yumin Zhao, Yunyue Elita Li, and Bei Li.
description: {"references": ["Biondi, B., Martin, E., Cole, S., Karrenbach, M., & Lindsey, N. (2017). Earthquakes analysis using data recorded by the Stanford DAS array. In Seg technical program expanded abstracts 2017 (pp. 2752\u20132756). Society of Exploration Geophysicists.", "Yuan, S., Martin, E., Chang, J., Cole, S., & Biondi, B. (2017). Catalog of Northern California earthquakes recorded by DAS. SEP-Report.", "Spica, Z. J., Perton, M., Martin, E. R., Beroza, G. C., & Biondi, B. (2020). Urban seismic site characterization by fiber-optic seismology. Journal of Geophysical Research: Solid Earth, 125 (3), e2019JB018656."]}
DOI: 10.5281/zenodo.7885908
title: Two-minute DAS ambient noise data recorded by Stanford DAS Array-1

description: This repository contains the preprocessed 2-minute DAS ambient noise data recorded by the Stanford DAS Array-1 and the 1D shear-wave velocity model published in Spica et al. (2020) used in the manuscript entitled "On beamforming of DAS ambient noise recorded in an urban environment and Rayleigh-to-Love wave ratio estimation" by Yumin Zhao, Yunyue Elita Li, and Bei Li.
description: {"references": ["Biondi, B., Martin, E., Cole, S., Karrenbach, M., & Lindsey, N. (2017). Earthquakes analysis using data recorded by the Stanford DAS array. In Seg technical program expanded abstracts 2017 (pp. 2752\u20132756). Society of Exploration Geophysicists.", "Yuan, S., Martin, E., Chang, J., Cole, S., & Biondi, B. (2017). Catalog of Northern California earthquakes recorded by DAS. SEP-Report.", "Spica, Z. J., Perton, M., Martin, E. R., Beroza, G. C., & Biondi, B. (2020). Urban seismic site characterization by fiber-optic seismology. Journal of Geophysical Research: Solid Earth, 125 (3), e2019JB018656."]}
DOI: 10.34740/kaggle/dsv/5581977
title: YouTube Daily
DOI: 10.5281/zenodo.7870026
title: MAESTRO Real - Multi-Annotator Estimated Strong Labels; Evaluation dataset

description: Evaluation dataset for the DCASE challenge 2023 task 4 B - Sound Event Detection with Soft Labels. The evaluation dataset contains 26 real-life audio files from 5 different acoustic scenes.
DOI: 10.5281/zenodo.7870025
title: MAESTRO Real - Multi-Annotator Estimated Strong Labels; Evaluation dataset

description: Evaluation dataset for the DCASE challenge 2023 task 4 B - Sound Event Detection with Soft Labels. The evaluation dataset contains 26 real-life audio files from 5 different acoustic scenes.
DOI: 10.6084/m9.figshare.21699668
title: kumar_etal_2022_dataset.tar

description: ## Dataset for Kumar, et al., 2022 This is the dataset corresponding to: Kumar, Sharma, and Leifer, "An inhibitory circuit for rapid contextual modulation of mechanosensory processing in C. elegans". <br> The code used to analyze this data and generate figures presented in this work is available on GitHub at https://github.com/leiferlab/analysis-code-kumar-2022.git <br> Datasets are arranged in folders with the corresponding figure name.
DOI: 10.6084/m9.figshare.21699668.v1
title: kumar_etal_2022_dataset.tar

description: ## Dataset for Kumar, et al., 2022 This is the dataset corresponding to: Kumar, Sharma, and Leifer, "An inhibitory circuit for rapid contextual modulation of mechanosensory processing in C. elegans". <br> The code used to analyze this data and generate figures presented in this work is available on GitHub at https://github.com/leiferlab/analysis-code-kumar-2022.git <br> Datasets are arranged in folders with the corresponding figure name.
DOI: 10.6084/m9.figshare.22731110.v1
title: Widely targeted metabolomics approaches to investigate dysregulation of multiple metabolites in the serum of triple transgenic Alzheimer's disease male mice

description: <strong>Introduction</strong> Alzheimer's disease (AD) is considered to be a multifactorial neurodegenerative disease that lacks effective drugs. <strong>Objective</strong> Pathological changes in the brain can be reflected in blood metabolites that are expected to explain the disease mechanisms or be candidate biomarkers. <strong>Methods</strong> Targeted metabolomics was used to quantify 256 metabolites in serum of triple transgenic AD (3×Tg-AD) male mice. <strong>Resutls</strong> Compared with control, 49 metabolites involved in bioamines and nucleoside analogues were identified as differential metabolites. They mainly were associated with purine, pyrimidine, tryptophan, cysteine and methionine and glycerophospholipid metabolism, of which the significant ones included decreased serum levels of adenosine, serotonin, N-acetyl-5-hydroxytryptamine, S-adenosine-L-homocysteine, and CDP-choline, and increased serum levels of S-adenosine-L-methionine, acetylcholine, and trimethylamine-N-oxide in AD mice. <strong>Conclusion</strong> The results revealed the changes of neuromodulators in serum, suggesting that dysregulated metabolites in periphery in AD mice may be related to the disturbances in neuroinhibition, the serotonergic system, sleep function, the cholinergic system, and the gut microbiota. The study proposed the possibility of developing peripheral biomarkers in early AD.
DOI: 10.5517/ccdc.csd.cc259gb9
title: CCDC 2005090: Experimental Crystal Structure Determination

description: Related Article: Banacer Himmi, Silvia A. Brandán, Yusuf Sert, Ameed Ahmed Kawther, Necmi Dege, Emine Berrin Cinar, Ahmed El Louzi, Khalid Bougrin, Khalid Karrouchi|2023|Results in Chemistry|5|100916|doi:10.1016/j.rechem.2023.100916
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.cc2b1yhv
title: CCDC 2146827: Experimental Crystal Structure Determination

description: Related Article: Suman Adhikari, Afzal Hussain Sheikh, Sevgi Kansız, Necmi Dege, Nabajyoti Baildya, Ghodrat Mahmoudi, Nurul Alam Choudhury, Raymond J. Butcher, Werner Kaminsky, Savannah Talledo, Eric M. Lopato, Stefan Bernhard, Julia Kłak|2023|J.Mol.Struct.|1285|135481|doi:10.1016/j.molstruc.2023.135481
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.cc2d8zxl
title: CCDC 2213180: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, Dharmendra S. Vishwakarma, Showkat A. Hajam|2023|Org.Lett.|25|2525|doi:10.1021/acs.orglett.3c00690
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.cc2dh9lt
title: CCDC 2219246: Experimental Crystal Structure Determination

description: Related Article: minghong li|2023|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.cc2dh9mv
title: CCDC 2219247: Experimental Crystal Structure Determination

description: Related Article: minghong li|2023|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.cc2dh9nw
title: CCDC 2219248: Experimental Crystal Structure Determination

description: Related Article: minghong li|2023|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.cc2dh9px
title: CCDC 2219249: Experimental Crystal Structure Determination

description: Related Article: minghong li|2023|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.cc2dk7nw
title: CCDC 2221108: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk7qy
title: CCDC 2221110: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk8py
title: CCDC 2221140: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk8qz
title: CCDC 2221141: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk8r0
title: CCDC 2221142: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk8s1
title: CCDC 2221143: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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.cc2dk8t2
title: CCDC 2221144: Experimental Crystal Structure Determination

description: Related Article: Jiajie Hu, Manna Huang, Xinhai Zhu, Zexuan Liang, Yiqian Wan|2023|Dyes Pigm.|215|111282|doi:10.1016/j.dyepig.2023.111282
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: 10.25375/uct.22551073
title: REDUCED ORDER MODELLING AND BIOCHEMICAL PATIENT-SPECIFICITY IN A COMPUTATIONAL MODEL OF CEREBRAL ANEURYSM THROMBOSIS: TOWARDS CLINICAL APPLICABILITY

description: The files contain data on thrombin and fibrin concentration, velocity and clot size for haemophilliac, healthy and thrombotic patients. Computational fluid dynamics (CFD) models of cerebral aneurysm thrombosis are patient-specific insofar as geometry and haemodynamics are concerned. The biochemical reactions that result in clotting require considerable resources to fit all parameters on a per patient or population basis. Furthermore, translation of these CFD models to clinical contexts is limited by model complexity and computational cost. In this study, we present a model that couples results from a calibrated automated thrombogram (CAT), an in vitro test that is used to determine clotting function on a per patient basis, with CFD. The CAT data was fitted into population-specific biochemical profiles of haemophiliac, healthy and thrombotic patients, and applied to the aneurysmal wall of a 2D idealized geometry. There was faster clot growth in the thrombotic case, followed by the normal and haemophiliac cases, respectively. Complex vorticial structures formed as the different clots evolved. The patterns in clot growth, distribution of thrombin and fibrin, and velocity profile showed that there is a strong link between haemodynamics and biochemistry. The model was verified by comparing it to experimental results, and it successfully captured the qualitative features of in vitro clotting. Polynomial and logistic regression machine learning algorithms were used to develop a reduced order model from CFD results. This model is relatively simple but would have far greater utility in a clinical context as it does not require solution of numerical methods or specialized CFD training.