cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20464203.v1
title: Rawdata

description: DNA methylation is essential for the survival of bacteriophages (phages), yet, we know little about the methylation of their genomes. Here, we analyze the methylomes of 9,665 metagenome-assembled high-quality human gut phages using single-molecule real-time sequencing. We show that gut phages universally use DNA methylations to escape from host defense systems, and reveal factors that correlate with methylation densities, including coding potential, gene function, and phage lifestyle. Strikingly, more than a third of the phages encode their own DNA methyltransferases (MTases). These phages have increased genome methylation densities, and are more abundant and prevalent than those without MTases. Most MTases are closely homologous to gut bacterial ones, and have been likely exchanged during phage-bacterial host interactions. As gut phages can share ~15% of their genes with gut bacteria at 90% protein similarity, a fast evolving, complex phage-bacterium interaction network can be assumed that shapes both phage and host fitness.
DOI: 10.6084/m9.figshare.20496150
title: Test_cases_for_reliability_assessment_for_large-scale_offshore_wind_farm_electrical_collector_system_based_on_mixed-integer_linear_programming

description: This dataset contains the information about test cases in "Reliability Assessment for Large-Scale Offshore Wind Farm Electrical Collector System Based on Mixed-Integer Linear Programming"
DOI: 10.6084/m9.figshare.20496150.v1
title: Test_cases_for_reliability_assessment_for_large-scale_offshore_wind_farm_electrical_collector_system_based_on_mixed-integer_linear_programming

description: This dataset contains the information about test cases in "Reliability Assessment for Large-Scale Offshore Wind Farm Electrical Collector System Based on Mixed-Integer Linear Programming"
DOI: 10.6084/m9.figshare.20464203
title: Rawdata

description: DNA methylation is essential for the survival of bacteriophages (phages), yet, we know little about the methylation of their genomes. Here, we analyze the methylomes of 9,665 metagenome-assembled high-quality human gut phages using single-molecule real-time sequencing. We show that gut phages universally use DNA methylations to escape from host defense systems, and reveal factors that correlate with methylation densities, including coding potential, gene function, and phage lifestyle. Strikingly, more than a third of the phages encode their own DNA methyltransferases (MTases). These phages have increased genome methylation densities, and are more abundant and prevalent than those without MTases. Most MTases are closely homologous to gut bacterial ones, and have been likely exchanged during phage-bacterial host interactions. As gut phages can share ~15% of their genes with gut bacteria at 90% protein similarity, a fast evolving, complex phage-bacterium interaction network can be assumed that shapes both phage and host fitness.
DOI: 10.6084/m9.figshare.20464203.v2
title: Rawdata

description: DNA methylation is essential for the survival of bacteriophages (phages), yet, we know little about the methylation of their genomes. Here, we analyze the methylomes of 9,665 metagenome-assembled high-quality human gut phages using single-molecule real-time sequencing. We show that gut phages universally use DNA methylations to escape from host defense systems, and reveal factors that correlate with methylation densities, including coding potential, gene function, and phage lifestyle. Strikingly, more than a third of the phages encode their own DNA methyltransferases (MTases). These phages have increased genome methylation densities, and are more abundant and prevalent than those without MTases. Most MTases are closely homologous to gut bacterial ones, and have been likely exchanged during phage-bacterial host interactions. As gut phages can share ~15% of their genes with gut bacteria at 90% protein similarity, a fast evolving, complex phage-bacterium interaction network can be assumed that shapes both phage and host fitness.
DOI: 10.5255/ukda-sn-855838
title: Reducing Plastic Packaging and Food Waste Through Product Innovation Simulation: Household Behavioural Insights Around Packaging, Single and Reuse Options, and Food: 2021-2022

description: This dataset was produced as part of the project: Reducing plastic packaging and food waste through product innovation simulation, funded by the NERC (Ref: NE/V010654/1). The wider project was concerned with building a Discrete Event Simulation (DES) model that can simulate food and food packaging as it moves through a household, from purchase to disposal. This dataset is qualitative in nature and was created to inform the modelling process. Remote qualitative interviews were planned and conducted, and participants were also asked to fill out entries on a research diary covering 4 days within a 7 day period. The interviews were semi-structured, and questions relating to waste and food practices were planned around 4 main areas: general household background, daily routines, weekly routines and shopping habits, waste and disposal practices, and attitudes to potential innovation in food packaging. A fifth section was based on photo-elicitation, to gauge participant attitudes to ageing produce. The diaries provided to participants had a system of prompts and questions that aimed to capture the movement of particular food items through the home and practices related to this movement over four separate days. Image files could also be submitted by participants, either included in the text files or as email attachments to the researcher. Follow up interviews were planned, which would be conducted after the second diary entry was complete and returned, but time constraints meant that only one follow up interview was conducted. A screening questionnaire was used to recruit and select participants, which was disseminated through university research recruitment channels and through social media accounts set up for the project. Informed consent for this questionnaire was gained at that stage, but was also gained prior to the remote interview, for both the interview and the diary research. However, the questionnaire data was not analysed and is not included in the collection as it was for recruitment purposes only. The data collection is comprised of 28 interview transcripts, 25 completed research diaries and 91 image files (produced by research participants) as part of the research diaries. Where image files were included in text documents by participants, the image files have been extracted and saved as photographs separately. These are stored as .docx files and .tiff files accordingly. Each of these was anonymised according to the anonymization plan. As there are multiple forms of data for each participant, each participant that completed the questionnaire was given a unique identifier, with suffixes describing the type of data. These are described in the readme file for the data collection.
DOI: 10.5445/ir/1000148858
title: Numerical experiments for "On dynamical low-rank integrators for matrix differential equations"

description: This code has been used for the numerical experiments in the thesis "On dynamical low-rank integrators for matrix differential equations" by Stefan Schrammer, see https://www.doi.org/10.5445/IR/1000148853.
DOI: 10.6084/m9.figshare.20496236
title: Mapping hydrogen storage capacities of UK offshore hydrocarbon fields and investigating potential synergies with offshore wind

description: S1 Field data, suitability criteria and suitability matrix
DOI: 10.6084/m9.figshare.20496236.v1
title: Mapping hydrogen storage capacities of UK offshore hydrocarbon fields and investigating potential synergies with offshore wind

description: S1 Field data, suitability criteria and suitability matrix
DOI: 10.15127/1.288232
title: 2014 British Election Study Expert Survey

description: The 2015 BES is collecting expert data for the first time, which can be linked to the BES voter data. These expert surveys gather information on ‘objective’ policy positions of BES voter data. The issues on which experts are asked to place the parties correspond to the issues and values which BES voter survey respondents are asked to give their own positions. The combined data can therefore be used to make party-voter comparisons. Created with the support of Thomas Loughran.
DOI: 10.34740/kaggle/dsv/4078037
title: Fungi affected leaf diseases
DOI: 10.6084/m9.figshare.20496165
title: RawReads.zip

description: Horse Nemabiome Raw Reads
DOI: 10.5517/ccdc.csd.cc28pcv6
title: CCDC 2105918: Experimental Crystal Structure Determination

description: Related Article: Snehasish Debnath, Ratish R. Nair, Riya Ghosh, Gaddam Kiranmai, Narsini Radhakishan, Narayana Nagesh, Pabitra B. Chatterjee|2022|Chem.Commun.|58|9210|doi:10.1039/D2CC01515C
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.cc22cvv5
title: CCDC 1918027: Experimental Crystal Structure Determination

description: Related Article: Florian Chotard,  Alexander S. Romanov,  David L. Hughes,  Mikko Linnolahti,  and Manfred Bochmann|2019|Eur.J.Inorg.Chem.|2019|4234|doi:10.1002/ejic.201900573
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.cc28pcw7
title: CCDC 2105919: Experimental Crystal Structure Determination

description: Related Article: Snehasish Debnath, Ratish R. Nair, Riya Ghosh, Gaddam Kiranmai, Narsini Radhakishan, Narayana Nagesh, Pabitra B. Chatterjee|2022|Chem.Commun.|58|9210|doi:10.1039/D2CC01515C
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.cc28pcx8
title: CCDC 2105920: Experimental Crystal Structure Determination

description: Related Article: Snehasish Debnath, Ratish R. Nair, Riya Ghosh, Gaddam Kiranmai, Narsini Radhakishan, Narayana Nagesh, Pabitra B. Chatterjee|2022|Chem.Commun.|58|9210|doi:10.1039/D2CC01515C
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.cc28pcy9
title: CCDC 2105921: Experimental Crystal Structure Determination

description: Related Article: Snehasish Debnath, Ratish R. Nair, Riya Ghosh, Gaddam Kiranmai, Narsini Radhakishan, Narayana Nagesh, Pabitra B. Chatterjee|2022|Chem.Commun.|58|9210|doi:10.1039/D2CC01515C
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.cc28tjpb
title: CCDC 2109912: Experimental Crystal Structure Determination

description: Related Article: Xia Tingting|2021|CSD Communication|||
description: Related Article: Tingting Xia, Yang Xi, Haojie Ding, Yetong Zhang, Ke Fang, Xianqing Wu, Jingping Qu, Yifeng Chen|2022|Chem.Commun.|58|9282|doi:10.1039/D2CC03202C
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.cc29fq5n
title: CCDC 2128341: Experimental Crystal Structure Determination

description: Related Article: Chao Chen, Ru-Xin Liu, Feng Xiong, Zi-Hao Li, Jun-Chen Kang, Tong-Mei Ding, Shu-Yu Zhang|2022|Chem.Commun.|58|9230|doi:10.1039/D2CC03301A
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.cc29fq7q
title: CCDC 2128343: Experimental Crystal Structure Determination

description: Related Article: Chao Chen, Ru-Xin Liu, Feng Xiong, Zi-Hao Li, Jun-Chen Kang, Tong-Mei Ding, Shu-Yu Zhang|2022|Chem.Commun.|58|9230|doi:10.1039/D2CC03301A
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.cc2bc8zz
title: CCDC 2155801: Experimental Crystal Structure Determination

description: Related Article: Biao Wang, Han Zhong, Xu Tian|2022|Chem.Commun.|58|9222|doi:10.1039/D2CC03007A
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.cc2bc901
title: CCDC 2155802: Experimental Crystal Structure Determination

description: Related Article: Biao Wang, Han Zhong, Xu Tian|2022|Chem.Commun.|58|9222|doi:10.1039/D2CC03007A
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.cc2bmg4l
title: CCDC 2163649: Experimental Crystal Structure Determination

description: Related Article: Min Wu, Haiman Zhang, Ting Wang, Shuang Lin, Ziyang Guo, Hui Gao, Zhi Zhou, Wei Yi|2022|Chem.Commun.|58|9286|doi:10.1039/D2CC02982K
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.cc2bs3mw
title: CCDC 2168128: Experimental Crystal Structure Determination

description: Related Article: Miriam Calabrese, Andrea Pizzi, Andrea Daolio, Antonio Frontera, Giuseppe Resnati|2022|Chem.Commun.|58|9274|doi:10.1039/D2CC03191D
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.cc2bs3nx
title: CCDC 2168129: Experimental Crystal Structure Determination

description: Related Article: Miriam Calabrese, Andrea Pizzi, Andrea Daolio, Antonio Frontera, Giuseppe Resnati|2022|Chem.Commun.|58|9274|doi:10.1039/D2CC03191D
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.cc2bs3py
title: CCDC 2168130: Experimental Crystal Structure Determination

description: Related Article: Miriam Calabrese, Andrea Pizzi, Andrea Daolio, Antonio Frontera, Giuseppe Resnati|2022|Chem.Commun.|58|9274|doi:10.1039/D2CC03191D
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.cc2bs3qz
title: CCDC 2168131: Experimental Crystal Structure Determination

description: Related Article: Miriam Calabrese, Andrea Pizzi, Andrea Daolio, Antonio Frontera, Giuseppe Resnati|2022|Chem.Commun.|58|9274|doi:10.1039/D2CC03191D
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.cc2byrtw
title: CCDC 2173559: Experimental Crystal Structure Determination

description: Related Article: Qing Wang, Sen-Lin Wang, Jin-Bao Fan, Guang-Yao Zeng, Ying-Jun Zhou, Xu Deng|2022|Chem.Commun.|58|9270|doi:10.1039/D2CC02840A
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.cc2byrvx
title: CCDC 2173560: Experimental Crystal Structure Determination

description: Related Article: Qing Wang, Sen-Lin Wang, Jin-Bao Fan, Guang-Yao Zeng, Ying-Jun Zhou, Xu Deng|2022|Chem.Commun.|58|9270|doi:10.1039/D2CC02840A
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.cc2bzkpl
title: CCDC 2174330: Experimental Crystal Structure Determination

description: Related Article: Paula Fernández-Canelas, Rubén Miguélez, Eduardo Rubio, José Manuel González, Pablo Barrio|2022|Chem.Commun.|58|9250|doi:10.1039/D2CC03060H
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.cc2c1mqs
title: CCDC 2176315: Experimental Crystal Structure Determination

description: Related Article: Kenji Kamada, Jieun Jung, Yohei Kametani, Taku Wakabayashi, Yoshihito Shiota, Kazunari Yoshizawa, Seong Hee Bae, Manami Muraki, Masayuki Naruto, Keita Sekizawa, Shunsuke Sato, Takeshi Morikawa, Susumu Saito|2022|Chem.Commun.|58|9218|doi:10.1039/D2CC01701F
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.cc2bwhxn
title: CCDC 2171392: Experimental Crystal Structure Determination

description: Related Article: Keke Han, Mengxia Zhang, Zhenhong Wei, Xing Ye, Wenjun Rao, Haina Zhang, Hu Cai|2022|Chem.Commun.|58|9254|doi:10.1039/D2CC02673B
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: 10.5281/zenodo.6993765
title: Multi-Level Monte Carlo Models for Flood Inundation Uncertainty Quantification - Dataset

description: Dataset used for the analysis of Multi-level Monte Carlo methods for flood inundation uncertainty quantification. This includes: Flood model simulations for Dyce, Glasgow and Inverurie across three resolutions (5m/10m/20m). Data for violin plot figures with code.
DOI: 10.5281/zenodo.6993766
title: Multi-Level Monte Carlo Models for Flood Inundation Uncertainty Quantification - Dataset

description: Dataset used for the analysis of Multi-level Monte Carlo methods for flood inundation uncertainty quantification. This includes: Flood model simulations for Dyce, Glasgow and Inverurie across three resolutions (5m/10m/20m). Data for violin plot figures with code.
DOI: 10.5255/ukda-sn-855859
title: “Oh! How Modern! And... Are You Ok with That?": Consensually Non-Monogamous People’s Experiences When Accessing Sexual Health Care, 2020

description: The current research explored consensually non-monogamous peoples’ experiences accessing sexual healthcare. Using a mixed method approach, a sample of 67 consensually non-monogamous individuals reported having significantly lower rates of trust in healthcare professionals compared to standardised scores. 63% of participants reported disclosing their relationship status to a clinician when accessing sexual health services, whereas 37% sometimes or never disclosed. Qualitative responses were explored to explain those findings in more detail. Some participants reported a willingness to be open about their relationships, but many chose to ‘pass’ as monogamous to both simplify and streamline their interactions as well as to avoid potential stigma. Participants reported a wide range of experiences with clinicians from those who were accepting and professional, to some who displayed prejudice and withheld treatment. This research outlines some of the experiences and challenges presented to consensual non-monogamists when accessing sexual healthcare as well as providing suggestions for clinicians to help remove some of the barriers to appropriate patient care.