cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jymtst88jm.1
title: The effect of Holder pasteurization on the lipid and metabolite composition of human milk

description: The data set includes MS and MSMS data collected from the analysis of 39 human milk (HM) samples using targeted dynamic iterated DDA of (pre)annotated metabolic features using a reference database (HMDB) and untargeted iterated DDA split into several m/z intervals. 15 HM samples (labelled as "LM") were raw milk samples from mothers of preterm infants and 12 HM samples (labelled as "LMD") were from the Human Milk Bank and were analyzed before ("Pre") and after ("Post") Holder pasteurization.
MS data sets: 2 blanks and a set of QCs (5 and 4 in ESI(+) and ESI(-), respectively) were injected at the beginning of the sequence for system conditioning and MS2 data acquisition. Then, the sample batch including 39 milk samples, 10 QCs (1 QC every 6 samples and 2 at the beginning and at the end of the samples) and 2 blanks (end of sample batch) were analyzed (B_Synergi_pos_and_neg*). In addition, after the sample batch, MS2 spectra were also acquired in consecutive QC replicates using untargeted iterated DDA in the [70-200], [200-300], [300-400], [400-500], [500-6000], [600-700], [700-800], [800-900], [900-1200] and [1200-1500] Da ranges (i-DDA). For the ESI(-), the acquisition in the m/z interval [1200-1500] failed and hence data was not available.
Peak table generation was carried out using XCMS software. The centWave method was used for peak detection with the following parameters: mass accuracy, 15 ppm; peak width, (5,20); snthresh, 6; prefilter, (3,100); noise, 0; minimum difference for overlapping peaks: 0.01 Da; intensity weighted m/z values of each feature were calculated using the wMean function; Peak limits used for integration: Mexican hat filtered data. RT correction was carried out using the “obiwarp” method. Peak grouping was carried out using the “density” method using mzwid = 0.015, bw = 5 and minFraction = 0.5. Missing data points were filled by reintegrating the raw data files in the regions of the missing peaks using the fillPeaks method. The CAMERA package was used for the identification of pseudospectra based on peak shape analysis, isotopic information and intensity correlation across samples. 
Raw MSMS data (.D) was converted into .ms2 and .mgf format using ProteoWizard. ms2 data was directly imported into MATLAB (Synergi_ms2_data_pos_and_neg data structures).

*Contains dataset objects and PLS-Toolbox (Eigenvector Research Inc.) for their inspection is required.
Funding Sources
This work was supported by the Instituto de Salud Carlos III, Spain [grant numbers CD19/00176  and CP16/00034 ]; the Ministry of Science and Innovation, Spain [grant number IJC2018-036209-I ], Generalitat Valenciana [project number GV/2021/186 ], and the European Union's Horizon 2020 Research and Innovation Programme through the Nutrishield project (https://nutrishield-project.eu/) [Grant Agreement No 818110 ].
DOI: 10.12751/g-node.syheka
title: Marble burying classifier and supporting files

description: Classifier and supporting files for: A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics
description: IsSupplementTo: A novel automated approach for improving standardization of the marble burying test enables quantification of burying bouts and activity characteristics, Lucas Wahl, A. Mattijs Punt, Tara Arbab, Ingo Willuhn, Ype Elgersma, Aleksandra Badura. bioRxiv. (https://doi.org/10.1101/2021.10.16.464233)
DOI: 10.6084/m9.figshare.19122530
title: Dataset of Study: Estimated number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia

description: Final Dataset usted to estimate number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia.<br>All the original data used to conform the final dataset of this study are of public access and can be downloaded from the official websites. The links to access them are shown below: The dataset with all the COVID-19 confirmed cases and deaths in Colombia at an individual level is public available at the following link: https://www.datos.gov.co/widgets/gt2j-8ykr?mobile_redirect=true A dataset with the information on deaths by epidemiological week between vaccinated and unvaccinated by age group is public available at the following link: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/ED/anexos-reportes-tecnicos-cohorte-esperanza.zip For its part, information on vaccination coverage in Colombia by age group can be consulted at the following link: https://www.minsalud.gov.co/salud/publica/Vacunacion/Paginas/Vacunacion-covid-19.aspx According to Colombian legislation, for more detailed information and to have access to more specific information, researchers must send a formal request to the Ministry of Health and Social Protection.
DOI: 10.6084/m9.figshare.19122530.v1
title: Dataset of Study: Estimated number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia

description: Final Dataset usted to estimate number of deaths directly avoided because of COVID-19 vaccination among older adults in Colombia.<br>All the original data used to conform the final dataset of this study are of public access and can be downloaded from the official websites. The links to access them are shown below: The dataset with all the COVID-19 confirmed cases and deaths in Colombia at an individual level is public available at the following link: https://www.datos.gov.co/widgets/gt2j-8ykr?mobile_redirect=true A dataset with the information on deaths by epidemiological week between vaccinated and unvaccinated by age group is public available at the following link: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/ED/anexos-reportes-tecnicos-cohorte-esperanza.zip For its part, information on vaccination coverage in Colombia by age group can be consulted at the following link: https://www.minsalud.gov.co/salud/publica/Vacunacion/Paginas/Vacunacion-covid-19.aspx According to Colombian legislation, for more detailed information and to have access to more specific information, researchers must send a formal request to the Ministry of Health and Social Protection.
DOI: 10.21227/nwrf-2043
title: My virtual self IEEE data

description: Raw data files for Exp 1 and Exp 2: My virtual self: the role of movement in children’s sense of embodimentHayley Dewe*, Janna M. Gottwald*, Laura-Ashleigh Bird, Harry Brenton, Marco Gillies, & Dorothy Cowie (2021)
DOI: 10.15151/esrf-es-646676887
title: Multi-scale Multi-techniques investigations of Li-ion batteries: towards a European Battery Hub

description: In this science-driven Long-Term proposal, we propose a 3-years multi-beamline program tackling grand challenges for actual, emerging and future battery technologies. We will deploy advanced methodologies for accelerating research by setting new cooperation modes for multi-techniques multi-scale studies. Three chemistry-neutral scientific cases have been identified to fulfil this LTP: bulk-to-surface mechanisms, high energy system and smart sensing. Multiple, time-coordinated, interoperable spectroscopic, imaging & scattering techniques will be implemented. This proposal is the Pilot Phase towards a European Battery Hub aiming at accelerating workflows in battery research by optimizing the exceptional diversity of means available at ESRF. We expect to demonstrate the added value of a new “proposal” mechanism, e.g. science-driven beamtime allocation group, serving the fast growing, highly competitive and rapidly evolving European battery community.
DOI: 10.6084/m9.figshare.19122800
title: 中国科学技术大学火灾科学国家重点实验室3949篇论文数据

description: 中国科学技术大学火灾科学国家重点实验室3949篇论文数据
DOI: 10.22024/unikent/01.01.418
title: Online resources for Understanding and measuring the work-related quality of life among those working in adult social care: A scoping review
DOI: 10.6084/m9.figshare.17054876
title: Metaverse 57篇文献.csv

description: 元宇宙文献列表
DOI: 10.17632/xfhztptmps.1
title: Expanded circulating hematopoietic stem/progenitor cells as novel cell source for the treatment of TCIRG1 osteopetrosis

description: PMID: 31949009 PMCID: PMC7776247 DOI: 10.3324/haematol.2019.238261
Abstract
Allogeneic hematopoietic stem cell transplantation is the treatment of choice for autosomal recessive osteopetrosis caused by defects in the TCIRG1 gene. Despite recent progress in conditioning, a relevant number of patients are not eligible for allogeneic stem cell transplantation because of the severity of the disease and significant transplant-related morbidity. We exploited peripheral CD34+ cells, known to circulate at high frequency in the peripheral blood of TCIRG1-deficient patients, as a novel cell source for autologous transplantation of gene corrected cells. Detailed phenotypical analysis showed that circulating CD34+ cells have a cellular composition that resembles bone marrow, supporting their use in gene therapy protocols. Transcriptomic profile revealed enrichment in genes expressed by hematopoietic stem and progenitor cells (HSPCs). To overcome the limit of bone marrow harvest/ HSPC mobilization and serial blood drawings in TCIRG1 patients, we applied UM171-based ex-vivo expansion of HSPCs coupled with lentiviral gene transfer. Circulating CD34+ cells from TCIRG1-defective patients were transduced with a clinically-optimized lentiviral vector (LV) expressing TCIRG1 under the control of phosphoglycerate promoter and expanded ex vivo. Expanded cells maintained long-term engraftment capacity and multi-lineage repopulating potential when transplanted in vivo both in primary and secondary NSG recipients. Moreover, when CD34+ cells were differentiated in vitro, genetically corrected osteoclasts resorbed the bone efficiently. Overall, we provide evidence that expansion of circulating HSPCs coupled to gene therapy can overcome the limit of stem cell harvest in osteopetrotic patients, thus opening the way to future gene-based treatment of skeletal diseases caused by bone marrow fibrosis.
DOI: 10.22024/unikent/01.01.411
title: Dental biorhythm associates with adolescent weight gain

description: This data is the weight, body mass index, height and lower leg length measurements for each participant. It also includes the sex, ethnicity, age and Retzius periodicity value for each participant.
DOI: 10.22024/unikent/01.01.409
title: GCHQ Gendered narratives Project Case 2 (of 2)

description: These datasets were prepared as part of a research project lead by Dr Harmonie Toros, titled “Gendered Narrative Analysis of Violent Extremism in the United Kingdom”, funded by GCHQ’s Research Fellowship in National Resilience scheme. The project uses two case studies – the controversy surrounding the return to the UK of Shamima Begum from Iraq/Syria and the attack on two mosques in Christchurch, New Zealand – to investigate the gendered narratives regarding violent extremism in both mainstream and non-mainstream (extremist) online communities. This dataset refers to case 2.
DOI: 10.22024/unikent/01.01.407
title: GCHQ Gendered narratives Project Case 1 (of 2)

description: These datasets were prepared as part of a research project lead by Dr Harmonie Toros, titled “Gendered Narrative Analysis of Violent Extremism in the United Kingdom”, funded by GCHQ’s Research Fellowship in National Resilience scheme. The project uses two case studies – the controversy surrounding the return to the UK of Shamima Begum from Iraq/Syria and the attack on two mosques in Christchurch, New Zealand – to investigate the gendered narratives regarding violent extremism in both mainstream and non-mainstream (extremist) online communities. This dataset refers to case 1.
DOI: 10.5281/zenodo.5973246
title: Arius proximus RB0375 ARBOR SPAdes preassemblies

description: .
DOI: 10.5281/zenodo.5973245
title: Arius proximus RB0375 ARBOR SPAdes preassemblies

description: .
DOI: 10.5281/zenodo.5801337
title: Predicting atrial fibrillation recurrence by combining population data and virtual cohorts of patient-specific left atrial models

description: <strong>Abstract</strong> <strong>Background: </strong>Current ablation therapy for atrial fibrillation is sub-optimal and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while patient-specific models in small cohorts primarily explain acute response to ablation. We aimed to predict long-term atrial fibrillation recurrence after ablation in large cohorts, by using machine learning to complement biophysical simulations by encoding more inter-individual variability. <strong>Methods: </strong>Patient-specific models were constructed for 100 atrial fibrillation patients (43 paroxysmal, 41 persistent, 16 long-standing persistent), undergoing first ablation. Patients were followed for 1-year using ambulatory ECG monitoring. Each patient-specific biophysical model combined differing fibrosis patterns, fibre orientation maps, electrical properties and ablation patterns to capture uncertainty in atrial properties and to test the ability of the tissue to sustain fibrillation. These simulation stress tests of different model variants were post-processed to calculate atrial fibrillation simulation metrics. Machine learning classifiers were trained to predict atrial fibrillation recurrence using features from the patient history, imaging and atrial fibrillation simulation metrics. <strong>Results: </strong>We performed 1100 atrial fibrillation ablation simulations across 100 patient-specific models. Models based on simulation stress tests alone showed a maximum accuracy of 0.63 for predicting long-term fibrillation recurrence. Classifiers trained to history, imaging and simulation stress tests (average ten-fold cross-validation area under the curve 0.85 ± 0.09, recall 0.80 ± 0.13, precision 0.74 ± 0.13) outperformed those trained to history and imaging (area under the curve 0.66 ± 0.17), or history alone (area under the curve 0.61 ± 0.14). <strong>Conclusion: </strong>A novel computational pipeline accurately predicted long-term atrial fibrillation recurrence in individual patients by combining outcome data with patient-specific acute simulation response. This technique could help to personalise selection for atrial fibrillation ablation. <strong>Dataset Description: </strong>We include surface meshes in vtk format, consisting of the nodes, triangular elements, the atrial coordinate fields defined on the nodes, and the endocardial and epicardial fibre fields defined on the elements. We also include universal atrial coordinate fields alpha and beta, which are a lateral-septal coordinate and posterior-anterior coordinate for the LA. More details on the coordinate construction are given in our manuscript and https://www.ncbi.nlm.nih.gov/pubmed/31026761. These coordinates can be used for registering datasets. <strong>Publication</strong>: https://pubmed.ncbi.nlm.nih.gov/35089057/
DOI: 10.5281/zenodo.5801336
title: Predicting atrial fibrillation recurrence by combining population data and virtual cohorts of patient-specific left atrial models

description: <strong>Abstract</strong> <strong>Background: </strong>Current ablation therapy for atrial fibrillation is sub-optimal and long-term response is challenging to predict. Clinical trials identify bedside properties that provide only modest prediction of long-term response in populations, while patient-specific models in small cohorts primarily explain acute response to ablation. We aimed to predict long-term atrial fibrillation recurrence after ablation in large cohorts, by using machine learning to complement biophysical simulations by encoding more inter-individual variability. <strong>Methods: </strong>Patient-specific models were constructed for 100 atrial fibrillation patients (43 paroxysmal, 41 persistent, 16 long-standing persistent), undergoing first ablation. Patients were followed for 1-year using ambulatory ECG monitoring. Each patient-specific biophysical model combined differing fibrosis patterns, fibre orientation maps, electrical properties and ablation patterns to capture uncertainty in atrial properties and to test the ability of the tissue to sustain fibrillation. These simulation stress tests of different model variants were post-processed to calculate atrial fibrillation simulation metrics. Machine learning classifiers were trained to predict atrial fibrillation recurrence using features from the patient history, imaging and atrial fibrillation simulation metrics. <strong>Results: </strong>We performed 1100 atrial fibrillation ablation simulations across 100 patient-specific models. Models based on simulation stress tests alone showed a maximum accuracy of 0.63 for predicting long-term fibrillation recurrence. Classifiers trained to history, imaging and simulation stress tests (average ten-fold cross-validation area under the curve 0.85 ± 0.09, recall 0.80 ± 0.13, precision 0.74 ± 0.13) outperformed those trained to history and imaging (area under the curve 0.66 ± 0.17), or history alone (area under the curve 0.61 ± 0.14). <strong>Conclusion: </strong>A novel computational pipeline accurately predicted long-term atrial fibrillation recurrence in individual patients by combining outcome data with patient-specific acute simulation response. This technique could help to personalise selection for atrial fibrillation ablation. <strong>Dataset Description: </strong>We include surface meshes in vtk format, consisting of the nodes, triangular elements, the atrial coordinate fields defined on the nodes, and the endocardial and epicardial fibre fields defined on the elements. We also include universal atrial coordinate fields alpha and beta, which are a lateral-septal coordinate and posterior-anterior coordinate for the LA. More details on the coordinate construction are given in our manuscript and https://www.ncbi.nlm.nih.gov/pubmed/31026761. These coordinates can be used for registering datasets. <strong>Publication</strong>: https://pubmed.ncbi.nlm.nih.gov/35089057/
DOI: 10.5519/qd.qn1sdiqj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (386 records)
DOI: 10.6084/m9.figshare.19121558.v1
title: 02-Feb-2022 kraken2 custom db

description: built as described here: https://hackmd.io/@astrobiomike/kraken-custom-build-02-Feb-2022
DOI: 10.6084/m9.figshare.19121558
title: 02-Feb-2022 kraken2 custom db

description: built as described here: https://hackmd.io/@astrobiomike/kraken-custom-build-02-Feb-2022
DOI: 10.5519/qd.7vbdg6ym
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (451 records)
DOI: 10.23634/mmudr.00629124
title: A Thematic Analysis and Theoretical Domains Framework Mapping of the Barriers and Facilitators to Chronic Pain Management Among People with Endometriosis

description: Objectives. Endometriosis pain management has often centred around the use of contraception or surgical procedures to remove or reduce lesions and pain. Whilst these methods have been effective for some, many women have reported continuous pain which together with diagnosis and treatment delays, has resulted in significant psychosocial implications, however interventions to address these has been limited. Therefore, the current study aimed to explore how women with endometriosis managed their pain, and what biopsychosocial barriers and facilitators they faced in relation to obtaining effective pain management. Determinants of behaviour and mechanisms for action were identified through the mapping of the Theoretical Domains Framework (TDF). Design. A qualitative, online questionnaire design. Methods. Online qualitative questionnaires were used to collect responses from 33 women aged between 20 and 48. Thematic analysis conducted at the latent level was used to analyse participant data and TDF domains were mapped onto themes identified throughout the responses. Results. Three superordinate themes were identified across responses that incorporated six biopsychosocial barrier and facilitator subthemes and eight TDF domains: a) Limited treatment options b) Relationship between patients and healthcare practitioners (HCP’s), c) Pain beyond the physical. Conclusions. Effective pain management within endometriosis is complex and driven by factors such as HCP awareness and social support which highlights the need for a holistic approach to endometriosis management. The findings have contributed to the current gap within the understanding of biopsychosocial barriers and facilitators to endometriosis pain management and informed evidence-based implications for future research and practice.
DOI: 10.3886/e158261v1
title: Visualizing racial-ethnic differences in the gender division of housework among different-sex couples in the United States

description: Recent research shows important racial-ethnic differences in how individuals spent time in housework. Yet, our understanding of how the racial-ethnic makeup of partnerships shapes gender equality in the division of household labor remains limited. We use couple-level data from the 2017-2019 waves of the Panel Survey of Income Dynamics to visually illustrate how each partner’s race-ethnicity and their combination are associated with differences in the gender division of housework in U.S. Black, Hispanic, and white individuals. Results show significant heterogeneity in the share of housework and total housework hours between racial-ethnic groups, underscoring the need for a couple-level understanding of how the racial-ethnic makeup of partnerships may shape the division of household labor.
DOI: 10.5281/zenodo.5971362
title: The role of plants and fibres in modelling monumental terracruda sculptures of the Silk Roads - Dataset

description: Phytoliths and fibre datasets associated with the publication: Title: The role of plants and fibres in modelling monumental <em>terracruda</em> sculptures of the Silk Roads: archaeobotanical analyses from the Buddhists sites of Tepe-Narenj and Qol-e-tut (Kabul, Afghanistan) Authors: Mònica López-Prat, Carla Lancelotti, Gema Campo-Francés, Sudipa Ray Bandyopadhyay, Begoña Carrascosa, Noor Agha Noori, Alessandra Pecci, José Simón-Cortés & Domenico Miriello Journal: Heritage Science
DOI: 10.5281/zenodo.5971361
title: The role of plants and fibres in modelling monumental terracruda sculptures of the Silk Roads - Dataset

description: Phytoliths and fibre datasets associated with the publication: Title: The role of plants and fibres in modelling monumental <em>terracruda</em> sculptures of the Silk Roads: archaeobotanical analyses from the Buddhists sites of Tepe-Narenj and Qol-e-tut (Kabul, Afghanistan) Authors: Mònica López-Prat, Carla Lancelotti, Gema Campo-Francés, Sudipa Ray Bandyopadhyay, Begoña Carrascosa, Noor Agha Noori, Alessandra Pecci, José Simón-Cortés & Domenico Miriello Journal: Heritage Science
DOI: 10.34740/kaggle/dsv/3139153
title: Mahanagar Yatayat Dataset
DOI: 10.5517/ccdc.csd.cc28v7s5
title: CCDC 2110597: Experimental Crystal Structure Determination

description: Related Article: Shabbir Ahmed Khan, A. Sanjeeva Kumar, K. C. Kumara Swamy|2022|J.Org.Chem.|87|1285|doi:10.1021/acs.joc.1c02602
DOI: 10.5517/ccdc.csd.cc28v7t6
title: CCDC 2110598: Experimental Crystal Structure Determination

description: Related Article: Shabbir Ahmed Khan, A. Sanjeeva Kumar, K. C. Kumara Swamy|2022|J.Org.Chem.|87|1285|doi:10.1021/acs.joc.1c02602
DOI: 10.5517/ccdc.csd.cc28v7v7
title: CCDC 2110599: Experimental Crystal Structure Determination

description: Related Article: Shabbir Ahmed Khan, A. Sanjeeva Kumar, K. C. Kumara Swamy|2022|J.Org.Chem.|87|1285|doi:10.1021/acs.joc.1c02602
DOI: 10.5517/ccdc.csd.cc28v7x9
title: CCDC 2110601: Experimental Crystal Structure Determination

description: Related Article: Shabbir Ahmed Khan, A. Sanjeeva Kumar, K. C. Kumara Swamy|2022|J.Org.Chem.|87|1285|doi:10.1021/acs.joc.1c02602
DOI: 10.5517/ccdc.csd.cc28v7yb
title: CCDC 2110602: Experimental Crystal Structure Determination

description: Related Article: Shabbir Ahmed Khan, A. Sanjeeva Kumar, K. C. Kumara Swamy|2022|J.Org.Chem.|87|1285|doi:10.1021/acs.joc.1c02602