cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20947897.v1
title: Parental knowledge about respiratory syncytial virus (RSV) and attitudes to infant immunization with monoclonal antibodies

description: Ninety percent of children are infected with respiratory syncytial virus (RSV) within their first two years of life. RSV is the main cause behind hospitalization of infants with lower respiratory tract infections. A new monoclonal antibody (mAb) immunization may prevent RSV in all infants. This cross-national study aimed to examine parental knowledge about RSV and attitudes to such RSV immunization. Based on a literature study, a questionnaire was designed and applied in a survey carried out in China, France, Germany, Italy, Japan, Spain, the UK, and the US. Eligible respondents were expecting their first baby or parents of children &lt;24 months old who were open to vaccination. Parental acceptance of immunizations relies on perceptions of the preventable disease. In 5627 parents, only 35% reported basic or good level of knowledge about RSV. Recommendation from health care professionals and inclusion in immunization programs were crucial to their acceptance of RSV immunization. If recommended and informed about its efficacy and safety, most parents would accept RSV mAb immunization for their infants. Infant RSV infections are highly prevalent, yet parental awareness of RSV is poor. Country variations call for targeted communication about RSV and immunization. Almost all children (90%) are infected with respiratory syncytial virus (RSV) before the age of two. Most cases of RSV are mild, but RSV remains the main cause behind hospitalization of infants with lung infections, such as bronchiolitis and pneumonia. A new immunization with monoclonal antibodies (mAbs) is currently being developed to prevent RSV in infants. While traditional vaccines act to mobilize a person’s own production of antibodies to fight a virus, immunization with mAbs means that antibodies are given directly. We know that parents’ attitudes to childhood vaccination depend on their views on childhood diseases and vaccination in general. Therefore, we wanted to examine what parents know about RSV. How widespread and severe do parents think RSV infection is? Would they like their infants to receive RSV immunization? To answer these questions, we carried out a survey in eight Western and Asian countries. More than 5000 people who were either expecting their first baby or already parents of under two-year-olds answered the questionnaire. Their responses showed that awareness of RSV was poor as two-thirds of parents had never heard of RSV or knew only the name. Once exposed to information about a hypothetical immunization against RSV disease, the immunization was considered beneficial; however, recommendation from health care professionals and inclusion in immunization programs were crucial to the parents’ ultimate acceptance of RSV immunization. If recommended and well informed about its safety and efficacy, most parents would accept mAb immunization against RSV for their infants.
DOI: 10.14768/cdef9909-d915-4846-befd-49d44807686e
title: ORCHIDEEv3 (r6863) simulations for TRENDY-v9 / GCB2020

description: A consortium of Dynamic Global Vegetation Model (DGVM) groups set up the TRENDY project. It produces a set of DGVM simulations over the historical period in order to investigate the spatial trends in Net Biome Production (NBP). This initiative is repated every year in support of the Global Carbon Budget (GCB) annual assessment. TRENDY models output a wider range of carbon and hydrological data (e.g. all gridded data) which are available for spin-off studies. The simulations are performed for the time period 1700 (formerly 1850) up to the end of the previous year (ie. 2019 for TRENDY-v9 / GCB2020). A set of four simulations (S0 to S3) is performed with fixed or time-varying model forcings, in order to disentangle their respective contribution. Model forcings considered are atmospheric CO2 concentration ([CO2]), atmospheric Nitrogen deposition (Ndep), climate, and land-use (land-cover and nitrogen fertilisation). S0: Control simulation with no forcing change. In this simulation, [CO2] Ndep, climate and land use are time-invariant and set at their “pre-industrial” level. S0 is needed to diagnose any “cold start” issues or model drift S1: Simulation with [CO2] and Ndep changes only. Climate and land use are time-invariant. S2: Simulation with [CO2], Ndep and climate changes only. Land use is time-invariant. S3: Simulation with all forcings time-varying. The published dataset corresponds to the simulations performed with the ORCHIDEEv3 model (revision 6863), for the TRENDY-v9 exercise. It has been also used in combination with 16 other DGVMs outputs to estimate the land CO2 sink from a multi-model mean for the Global Carbon Budget 2020 (Friedlingstein et al., 2020). The dataset contains a set of carbon- and water-related variables at montly or annual time scales (see Table document).
DOI: 10.5281/zenodo.7123425
title: Dataset Musculoskeletal pain in health professionals at the end of their studies and 1 year after entry into the profession: A multi-center longitudinal study.

description: Dataset related to the paper "Musculoskeletal pain in health professionals at the end of their studies and 1 year after entry into the profession: A multi-center longitudinal study." <strong>Abstract</strong> Background: Musculoskeletal pain, especially back pain, is common among health professionals (HPs). They reduce work productivity and cause high costs. This follow up study investigates the prevalence and individual course of Musculoskeletal pain among HP students at the end of their studies and one year after entering the health care workforce. Participants were asked whether their Musculoskeletal pain was related to study or work conditions. Method: Self reported one year prevalence for lower back pain, neck and shoulder pain, pain in arms or hands, and pain in legs or feet was collected by an online questionnaire at two timepoints from 1046 participating HPs. Generalized estimating equation (GEE) models of the binomial family with log link were employed to estimate adjusted prevalence and corresponding normal based 95% confidence intervals were derived using the bootstrap method with 1,000 replications. Results: Prevalence of lower back pain as well as neck and shoulder pain was very high at baseline and follow up in all students and later HPs. Prevalence for pain in arms or hands, legs or feet was lower and there were significant differences between the professions. HP associated their lower back pain and neck and shoulder pain clearly with study and work conditions; HPs linked pain in arms or hands, legs or feet strongly with work conditions only. Conclusion: The prevention of lower back pain and neck and shoulder pain must be included in the curricula of all health professions at universities. As best practice example, they should incorporate ergonomic measures and exercises as a daily routine of the formation of health professionals. The impact of physically demanding professional tasks on upper and lower extremities needs to be investigated in further studies in order to take preventive measures.
DOI: 10.5281/zenodo.7123424
title: Dataset Musculoskeletal pain in health professionals at the end of their studies and 1 year after entry into the profession: A multi-center longitudinal study.

description: Dataset related to the paper "Musculoskeletal pain in health professionals at the end of their studies and 1 year after entry into the profession: A multi-center longitudinal study." <strong>Abstract</strong> Background: Musculoskeletal pain, especially back pain, is common among health professionals (HPs). They reduce work productivity and cause high costs. This follow up study investigates the prevalence and individual course of Musculoskeletal pain among HP students at the end of their studies and one year after entering the health care workforce. Participants were asked whether their Musculoskeletal pain was related to study or work conditions. Method: Self reported one year prevalence for lower back pain, neck and shoulder pain, pain in arms or hands, and pain in legs or feet was collected by an online questionnaire at two timepoints from 1046 participating HPs. Generalized estimating equation (GEE) models of the binomial family with log link were employed to estimate adjusted prevalence and corresponding normal based 95% confidence intervals were derived using the bootstrap method with 1,000 replications. Results: Prevalence of lower back pain as well as neck and shoulder pain was very high at baseline and follow up in all students and later HPs. Prevalence for pain in arms or hands, legs or feet was lower and there were significant differences between the professions. HP associated their lower back pain and neck and shoulder pain clearly with study and work conditions; HPs linked pain in arms or hands, legs or feet strongly with work conditions only. Conclusion: The prevention of lower back pain and neck and shoulder pain must be included in the curricula of all health professions at universities. As best practice example, they should incorporate ergonomic measures and exercises as a daily routine of the formation of health professionals. The impact of physically demanding professional tasks on upper and lower extremities needs to be investigated in further studies in order to take preventive measures.
DOI: 10.13012/b2idb-8719858_v1
title: Merrill et al. ECE-2021-05-00793.R1

description: Dataset associated with Merrill et al. ECE-2021-05-00793.R1 submission: Early life patterns of growth are linked to levels of phenotypic trait covariance and post-fledging mortality across avian species. Excel CSV files with all of the data used in analyses and file with descriptions of each column.
DOI: 10.5281/zenodo.7123021
title: Data from: On-chip distribution of quantum information using traveling phonons

description: Source data for Figures.
DOI: 10.5281/zenodo.7123020
title: Data from: On-chip distribution of quantum information using traveling phonons

description: Source data for Figures.
DOI: 10.6084/m9.figshare.19248626
title: Prince Edward Islands geospatial database

description: This database contains vector files, raster datasets, and maps of topographical and hydrological parameters of the sub-Antarctic Prince Edward Islands. Data production procedures are described in the associated paper (see references below) and the metadata are described in the "README" word document. The data is intended for scientific and/or educational use. Marion Island = "mi" and Prince Edward Island = "pe".<br>
DOI: 10.57745/ujerki
title: Populus_v3.1_sorted_names_checked.vcf

description: VCF file of genotyping data for 1118 Populus nigra genotypes x 5981 SNPs.
DOI: 10.6084/m9.figshare.13488099.v2
title: The Effect of Nanofibrillated Tempo-oxidized Cotton Linters on the Strength and Optical Properties of Paper

description: This study elaborates the application of composite films based on nanofibrillated cellulose obtained from cotton linters oxidized in the 2,2,6,6-tetramethylpiperidine-1-oxyl radical (TEMPO)/NaBr/NaClO system, with the use of CaCО<sub>3</sub> and/or Al(OH)<sub>3</sub> as fillers, and glycols as plasticizers, to improve the mechanical, optical, and sorption properties of paper. The paper coating with nanofibrillated cellulose-based films, without additional adhesive, depending on the concentration of nanofibrillated cellulose in the dispersion and the type of filler, improves the mechanical properties of paper, and decreases sorption properties, while no significant changes were observed in optical properties compared to the initial papers.
DOI: 10.6084/m9.figshare.13488099
title: The Effect of Nanofibrillated Tempo-oxidized Cotton Linters on the Strength and Optical Properties of Paper

description: This study elaborates the application of composite films based on nanofibrillated cellulose obtained from cotton linters oxidized in the 2,2,6,6-tetramethylpiperidine-1-oxyl radical (TEMPO)/NaBr/NaClO system, with the use of CaCО<sub>3</sub> and/or Al(OH)<sub>3</sub> as fillers, and glycols as plasticizers, to improve the mechanical, optical, and sorption properties of paper. The paper coating with nanofibrillated cellulose-based films, without additional adhesive, depending on the concentration of nanofibrillated cellulose in the dispersion and the type of filler, improves the mechanical properties of paper, and decreases sorption properties, while no significant changes were observed in optical properties compared to the initial papers.
DOI: 10.6084/m9.figshare.13488099.v1
title: The Effect of Nanofibrillated Tempo-oxidized Cotton Linters on the Strength and Optical Properties of Paper

description: This study elaborates the application of composite films based on nanofibrillated cellulose obtained from cotton linters oxidized in the 2,2,6,6-tetramethylpiperidine-1-oxyl radical (TEMPO)/NaBr/NaClO system, with the use of CaCО<sub>3</sub> and/or Al(OH)<sub>3</sub> as fillers, and glycols as plasticizers, to improve the mechanical, optical, and sorption properties of paper. The paper coating with nanofibrillated cellulose-based films, without additional adhesive, depending on the concentration of nanofibrillated cellulose in the dispersion and the type of filler, improves the mechanical properties of paper, and decreases sorption properties, while no significant changes were observed in optical properties compared to the initial papers.
DOI: 10.5281/zenodo.5519547
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5519648
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5520997
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5522788
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5552561
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5553067
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.
DOI: 10.5281/zenodo.5553068
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5554583
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5599912
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5750810
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info and/or covariants.org.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5750868
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info and/or covariants.org.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5772128
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects sequence variations of different strain of Sars-CoV-2 based on data retrieved from outbreak.info and/or covariants.org.<br> The json files are formatted to match the Feature API of aquaria.ws. <br> File names match the linage names of VOCs and VOIs.<br> CovidStrains.pdf lists Sars-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5774719
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta. CovidStrains.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5792281
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta. CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5886992
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta, as well as an extra file (omicron_BA2) for the BA.2/21K sister clade. CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5519546
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta, as well as an extra file (omicron_BA2) for the BA.2/21K sister clade and a file (omicron_BA1_BA2_diff) highlighting the differences between the lineages (coloring variations in only BA.1 red, only BA.2 blue, in both magenta). CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.5894923
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta, as well as an extra file (omicron_BA2) for the BA.2/21K sister clade and a file (omicron_BA1_BA2_diff) highlighting the differences between the lineages (coloring variations in only BA.1 red, only BA.2 blue, in both magenta). CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.6337233
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta, as well as an extra file (omicron_BA2) for the BA.2/21K sister clade and a file (omicron_BA1_BA2_diff) highlighting the differences between the lineages (coloring variations in only BA.1 red, only BA.2 blue, in both magenta). CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.
DOI: 10.5281/zenodo.6342799
title: Summary of sequence variations in strains of Sars-CoV-2

description: This entry collects JSON files specifying sequence variations of different strains (aka variants) of SARS-CoV-2 based on data retrieved from outbreak.info and/or covariants.org. These JSON files are formatted to match the Feature API of aquaria.ws. File names match the linage names of VOCs and VOIs. In the case of <em>omicron</em> we have added a version (omicron_charge) that highlights charge changing residues in magenta, as well as an extra file (omicron_BA2) for the BA.2/21K sister clade and a file (omicron_BA1_BA2_diff) highlighting the differences between the lineages (coloring variations in only BA.1 red, only BA.2 blue, in both magenta). CovidVariants.pdf lists SARS-CoV-2 proteins together with links that show how to map variations onto the structures.