cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8375452
title: Miniature Car Doors Sentinel Nav1

description: Navigation inside a house recording video and inertial data. This navigation, Nav1, will be used as a reference for future verification of kept-states of doors, namely to find changes from closed to open or vice-versa.
DOI: 10.5281/zenodo.8375442
title: Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function

description: Dataset and analysis scripts for the arXiv paper: Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function (submitted for peer-review)
DOI: 10.5281/zenodo.8375441
title: Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function

description: Dataset and analysis scripts for the arXiv paper: Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function (submitted for peer-review)
DOI: 10.5255/ukda-sn-856285
title: Unlocking Data To Inform Public Health Policy and Practice: Decision-Maker Perspectives on the Use of Cross-Sectoral Data as Part of a Whole-Systems Approach, 2022

description: Objectives: We sought to work collaboratively with public health stakeholders who use evidence in their work to identify practical ways that cross-sectoral data sharing and linkage could be used to best effect to improve health and reduce health inequalities. Methods: We undertook three sequential stakeholder workshops with participants from local and central government, public health teams, Health and Social Care Partnerships, the third sector, organisations which support data-intensive research, and public representatives from across Scotland. The workshops were informed by a scoping review on use of evidence in public health policy and practice, searching Medline, Scopus, SSCI, and key institutional websites, and by three case studies of existing cross-sectoral linkage projects. Details of data collection: The data collection comprises de-identified transcripts of stakeholder workshops and a copy of the visual map produced as part of the workshops. Stakeholders comprised people We held workshops to bring together people working in public health practice; in policy sectors potentially relevant to health; and in information governance, infrastructure and/or support for data and research; as well as a number of public representatives. Potential attendees were identified through a stakeholder mapping exercise with the project advisory group, followed by review of relevant organisational websites and advice from gatekeeper organisations such as Administrative Data Scotland.
DOI: 10.57906/s195-m120
title: Monthly Business Survey for Construction and Allied Trades - Great Britain
DOI: 10.5281/zenodo.8375023
title: Auxiliary data and codes for scPlant

description: Auxiliary data and codes, example data for scPlant (https://github.com/compbioNJU/scPlant).
DOI: 10.5281/zenodo.8375022
title: Auxiliary data and codes for scPlant

description: Auxiliary data and codes, example data for scPlant (https://github.com/compbioNJU/scPlant).
DOI: 10.5281/zenodo.8375368
title: Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics

description: The data used in Weigt et al., study <strong><em>"Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics"</em>.</strong> The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and other data repositories. Pipeline to analyse data can be found here: <pre>https://doi.org/10.5281/zenodo.7380282 </pre>
DOI: 10.5281/zenodo.8375369
title: Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics

description: The data used in Weigt et al., study <strong><em>"Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics"</em>.</strong> The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and other data repositories. Pipeline to analyse data can be found here: <pre>https://doi.org/10.5281/zenodo.7380282 </pre>
DOI: 10.6084/m9.figshare.24188748.v5
title: Disinformation: Research project database

description: An overview of the current state of disinformation research in Spain
DOI: 10.6069/7fwq-2180
title: Serum APOC1 levels are decreased in young autoantibody positive children who rapidly progress to type 1 diabetes

description: Aims/hypothesis: Biomarkers are needed to accurately predict and monitor type 1 diabetes progression during the substantially heterogeneous presymptomatic period of the disease development. To address this concern, we studied temporal changes in the plasma and serum proteomes of < 5-year-old children with HLA-conferred risk for type 1 diabetes, by analysing longitudinal sample series that were collected at regular intervals between birth and diagnosis. 
Methods: Using mass spectrometry-based discovery proteomics, longitudinal sample series from children positive for multiple autoantibodies who had rapidly progressed to type 1 diabetes before 4 years of age (n=10) were analysed and compared with similar measurements from children, matched from age and gender who were either positive for single autoantibody (n=10) or autoantibody negative (n=10). Following analysis of the data with an additive Gaussian process regression model (LonGP), targeted proteomics was used to verify 11 biomarker candidates in a similar yet independent cohort of children who progressed to the disease within 5 years of age (n=31) and matched autoantibody negative children (n=31). 
Results: These data reiterated extensive age related trends for protein levels in young children. Further, by combining the utility of LonGP together with the targeted analysis in an extended cohort with more frequent sampling points, these analysis demonstrated that the serum levels of two peptides unique for apolipoprotein C1 (APOC1) were decreased after the appearance of the first islet autoantibody and remained relatively less abundant in children who later progressed to type 1 diabetes, in comparison to autoantibody negative children.   
Conclusions/interpretation: Through the comparative analysis of prospectively collected samples, our data indicate that the serum/plasma levels of APOC1 are decreased in islet autoantibody positive children who develop type 1 diabetes at a young age. In future studies, APOC1 could be used as an additional measurement to improve early prediction of type 1 diabetes and selection of subjects for intervention studies.
DOI: 10.57903/uj/ygcv8f
title: Another Evolution: Speculating about Viruses and Life on Earth

description: Presentation during the workshop "Thinking with Viruses" (19-21.10.2022)
DOI: 10.57903/uj/qpeodx
title: Thinking with Viruses (19-21.10.2022)

description: Programme and Book of Abstracts of the "Thinking with Viruses" Workshop
DOI: 10.6084/m9.figshare.23789887
title: A review of genetic risk in systemic lupus erythematosus

description: Systemic Lupus Erythematosus (SLE) is a complex multisystem autoimmune disease with a wide range of signs and symptoms in affected individuals. The utilization of genome-wide association study (GWAS) technology has led to an explosion in the number of genetic risk factors mapped for autoimmune diseases, including SLE. In this review, we summarize the more recent genetic risk loci mapped in SLE, which bring the total number of loci mapped to approximately 200. We review prioritization analyses of the associated variants and experimental validation of the putative causal variants. This includes the implementation of new bioinformatic techniques to align genomic and functional data and the use of transcriptomics with single-cell RNA-sequencing, CRISPR genome editing, and Massive Parallel Reporter Assays to analyze non-coding regulatory genetics. Despite progress in identifying more genetic risk loci and variant-gene pairs for SLE, understanding its pathogenesis and applying findings clinically remains challenging. The polygenic risk score (PRS) has been used as an application of SLE genetics, but with limited performance in non-EUR populations. In the next few years, advancements in proteomics, post-translational modification estimation, and whole-genome sequencing will enhance disease understanding.
DOI: 10.6084/m9.figshare.23789887.v1
title: A review of genetic risk in systemic lupus erythematosus

description: Systemic Lupus Erythematosus (SLE) is a complex multisystem autoimmune disease with a wide range of signs and symptoms in affected individuals. The utilization of genome-wide association study (GWAS) technology has led to an explosion in the number of genetic risk factors mapped for autoimmune diseases, including SLE. In this review, we summarize the more recent genetic risk loci mapped in SLE, which bring the total number of loci mapped to approximately 200. We review prioritization analyses of the associated variants and experimental validation of the putative causal variants. This includes the implementation of new bioinformatic techniques to align genomic and functional data and the use of transcriptomics with single-cell RNA-sequencing, CRISPR genome editing, and Massive Parallel Reporter Assays to analyze non-coding regulatory genetics. Despite progress in identifying more genetic risk loci and variant-gene pairs for SLE, understanding its pathogenesis and applying findings clinically remains challenging. The polygenic risk score (PRS) has been used as an application of SLE genetics, but with limited performance in non-EUR populations. In the next few years, advancements in proteomics, post-translational modification estimation, and whole-genome sequencing will enhance disease understanding.
DOI: 10.6084/m9.figshare.23709693
title: Inflammatory myopathy in adults, health-related quality of life, and wellbeing: a round trip between immune disease and wellness

description: Health-related quality of life (HRQoL) and wellbeing are poorer in patients with chronic conditions than in the general population, and this is the case of individuals with myositis. Research has shown a negative relationship between this disease and wellbeing, but there is little data on the effect that enhanced wellbeing has on the disease course. HRQoL, wellbeing, and other related concepts are examined here with special emphasis on the benefits of positive status in the physical, environmental, psychological, and social function areas for reducing the severity of the clinical course and organ damage in a chronic condition such as myositis. The factors affecting HRQoL, and wellbeing are analyzed to delineate specific strategies that will lead to improvements in the life of adult patients with myositis. The mechanisms implicated in these changes are also discussed. Myositis refers to a heterogeneous group of chronic systemic autoimmune diseases. HRQoL and wellbeing are poor in these patients, and evidence suggests that improvements in this line can have positive repercussions on the course and outcome of the disease. Strategies to improve HRQoL and wellbeing should be designed for adults with myositis.
DOI: 10.6084/m9.figshare.23709693.v1
title: Inflammatory myopathy in adults, health-related quality of life, and wellbeing: a round trip between immune disease and wellness

description: Health-related quality of life (HRQoL) and wellbeing are poorer in patients with chronic conditions than in the general population, and this is the case of individuals with myositis. Research has shown a negative relationship between this disease and wellbeing, but there is little data on the effect that enhanced wellbeing has on the disease course. HRQoL, wellbeing, and other related concepts are examined here with special emphasis on the benefits of positive status in the physical, environmental, psychological, and social function areas for reducing the severity of the clinical course and organ damage in a chronic condition such as myositis. The factors affecting HRQoL, and wellbeing are analyzed to delineate specific strategies that will lead to improvements in the life of adult patients with myositis. The mechanisms implicated in these changes are also discussed. Myositis refers to a heterogeneous group of chronic systemic autoimmune diseases. HRQoL and wellbeing are poor in these patients, and evidence suggests that improvements in this line can have positive repercussions on the course and outcome of the disease. Strategies to improve HRQoL and wellbeing should be designed for adults with myositis.
DOI: 10.5281/zenodo.7919518
title: Dataset to study "Understanding rural communities' narratives of land abandonment and its consequences on nature's contributions to people in a biocultural landscape in Spain"

description: This dataset includes the raw data of a survey of 203 local residents in the region of Las Hurdes, Spain. The dataset sheet presents respondents' Linkages toward traditional land uses, Land abandonment perception and impacts, main agricultural practices, and socio-demographic characteristics (age, education level, place of residence, etc). The survey was carried out by face-to-face and the data compilation was done manually. The complete method is described in: Quintas‑Soriano, C., Torralba, M., García‑Martín, M., Plieninger, T., (2023): Narratives of land abandonment in a biocultural landscape of Spain. Regional Environmental Change, in press. In this upload you can find 2 files: 1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents. 2- Document of the face-to-face survey with all the questions and panels used for the social sampling.
description: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 426675955.
DOI: 10.5281/zenodo.7919517
title: Dataset to study "Understanding rural communities' narratives of land abandonment and its consequences on nature's contributions to people in a biocultural landscape in Spain"

description: This dataset includes the raw data of a survey of 203 local residents in the region of Las Hurdes, Spain. The dataset sheet presents respondents' Linkages toward traditional land uses, Land abandonment perception and impacts, main agricultural practices, and socio-demographic characteristics (age, education level, place of residence, etc). The survey was carried out by face-to-face and the data compilation was done manually. The complete method is described in: Quintas‑Soriano, C., Torralba, M., García‑Martín, M., Plieninger, T., (2023): Narratives of land abandonment in a biocultural landscape of Spain. Regional Environmental Change, in press. In this upload you can find 2 files: 1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents. 2- Document of the face-to-face survey with all the questions and panels used for the social sampling.
description: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 426675955.
DOI: 10.57903/uj/958wkj
title: Replication Data for: "Between Contingency and Recurrence. Virality after the Collapse of the Political Event" paper delivered at the interdisciplinary online workshop "Thinking with Viruses"

description: Notes and PowerPoint presentation pertaining to the academic paper "Between Contingency and Recurrence. Virality after the Collapse of the Political Event" delivered at the interdisciplinary online workshop "Thinking with Viruses" (19-21 October 2022)
DOI: 10.25345/c5k931h3m
title: MassIVE MSV000092952 - GNPS Raw datas_Roses_leaves-flowers_night vs day
title: The aim of this study is to compare the nocturnal and diurnal metabolome of rose leaves and flowers.
DOI: 10.5517/ccdc.csd.cc2dqzw0
title: CCDC 2226633: Experimental Crystal Structure Determination

description: Related Article: Qian Feng, Nan Li, Zeyuan Zhang, Kai Gao, Kai Wang, Sanliang Ling, Hongye Yuan, Yanmin Zhang, Mingming Zhang|2023|Chin.Chem.Lett.|34|108439|doi:10.1016/j.cclet.2023.108439
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.cc2dqzy2
title: CCDC 2226635: Experimental Crystal Structure Determination

description: Related Article: Qian Feng, Nan Li, Zeyuan Zhang, Kai Gao, Kai Wang, Sanliang Ling, Hongye Yuan, Yanmin Zhang, Mingming Zhang|2023|Chin.Chem.Lett.|34|108439|doi:10.1016/j.cclet.2023.108439
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.cc2dqzx1
title: CCDC 2226634: Experimental Crystal Structure Determination

description: Related Article: Qian Feng, Nan Li, Zeyuan Zhang, Kai Gao, Kai Wang, Sanliang Ling, Hongye Yuan, Yanmin Zhang, Mingming Zhang|2023|Chin.Chem.Lett.|34|108439|doi:10.1016/j.cclet.2023.108439
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: 10.48364/isimip.723340
title: ISIMIP3b Simulation Data from the Agriculture Sector

description: This dataset contains ISIMIP3b (www.isimip.org, Frieler et al. 2023, in prep.) simulation data from the following agriculture models: ACEA (Jägermeyr et al. 2021, Mialyk et al. 2022), CROVER (Jägermeyr et al. 2021, Okada et al. 2018), CYGMA1p74, DSSAT-Pythia (https://dssat.net), DayCent (Yang et al. 2020, Zhang et al. 2020, Del Grosso et al 2010, Parton et al. 2002), EPIC-IIASA (Balkovič et al 2014), LDNDC (Jägermeyr et al. 2022, Haas et al. 2012), LPJmL (von Bloh et al. 2018, Lutz et al. 2019), LPJ-GUESS (Smith et al. 2003, Lindeskog et al. 2013, Olin et al. 2015), pDSSAT (Jägermeyr et al. 2021), PEPIC (Lui et al. 2016a/b), and PROMET (Mauser et al. 2015).<br>The outputs are based on simulations according to the ISIMIP3b protocol (https://protocol.isimip.org). A more detailed description of the models are available on https://www.isimip.org.
DOI: 10.5281/zenodo.8375655
title: OMP_CCS_Compendium

description: This is a CCS compendium for environmental organic micropollutants. This compendium contains a total of 9407 experimental CCS values from 4170 organic contaminants, measured by both drift tube and traveling wave ion mobility spectrometry. After the consolidation of duplicate records, 7017 CCS values were retained.
DOI: 10.5281/zenodo.8375654
title: OMP_CCS_Compendium

description: This is a CCS compendium for environmental organic micropollutants. This compendium contains a total of 9407 experimental CCS values from 4170 organic contaminants, measured by both drift tube and traveling wave ion mobility spectrometry. After the consolidation of duplicate records, 7017 CCS values were retained.
DOI: 10.6084/m9.figshare.23498781
title: Ambiguity and memory (3 experiments)

description: Three datasets from behvioral experiments: Exp 1 - memorizing and recalling words Exp 2 - N-back with words as target stimuli Exp 3 - N-back with words as distractors
DOI: 10.6084/m9.figshare.23498781.v1
title: Ambiguity and memory (3 experiments)

description: Three datasets from behvioral experiments: Exp 1 - memorizing and recalling words Exp 2 - N-back with words as target stimuli Exp 3 - N-back with words as distractors
DOI: 10.5285/05f21d1d-bf9c-5549-e063-6c86abc0b846
title: ATOMIX shear probes benchmark data: a dissipation profile from the Faroe Bank Channel overflow obtained by a vertical microstructure profiler in June 2012.

description: This is a profile collected using a tethered free-fall vertical microstructure profiler (VMP), prepared as a benchmark shear-probe data example for the Scientific Committee on Oceanographic Research (SCOR) working group number 160 'Analysing ocean turbulence observations to quantify mixing' (ATOMIX). The profile was collected on 10 June 2012 from R.V. Haakon Mosby during the Faroe Bank Channel overflow and mixing project. The bottom depth at this location is approximately 860 meters. The dissipation rate was measured using two airfoil shear probes on a VMP2000 instrument from Rockland Scientific, Canada. The dataset has been processed and formatted in accordance with ATOMIX guidelines and recommendations. The provided file is organized in four hierarchical groups including continuous time series of data converted into physical units, cleaned time series used for spectral analysis, wavenumber spectra, and dissipation rate estimates. For more detailed information, please refer to the comments within the data file.
DOI: 10.5281/zenodo.8375667
title: Proteomic profiling of survivors of SARS-CoV-2-induced ARDS

description: Around 80% of patients who develop acute respiratory distress syndrome (ARDS) secondary to SARS-CoV-2 infection experience persistent lung dysfunction. The molecular factors that mediate pulmonary sequelae and recovery are unknown.<strong> </strong>In this context, we sought to comprehensively characterize the proteomic determinants of pulmonary diffusion impairment.<strong> </strong> This was a prospective cohort study including eighty-seven SARS-CoV-2–induced ARDS survivors. A complete pulmonary function evaluation and chest computed tomography (CT) were performed 3 months after hospital discharge. Proteomic profiling (364 proteins) was performed in plasma samples using proximity extension assay (PEA) technology. Partial least squares-discriminant analysis (PLS-DA) and random forest (RF) methods were used to assess predictor importance. Thirty percent of patients presented moderate to severe impairment of lung diffusing capacity (D<sub>LCO</sub>&lt;60% predicted). In the univariate analysis, fifteen proteins showed high concentrations in patients with D<sub>LCO</sub>&lt;60% [false discovery rate (FDR)&lt;0.05]. Pleiotrophin (PTN) displayed the highest differences: fold change=2.22 and FDR=0.001. Differentially detected proteins showed an inverse and independent dose–response relationship with D<sub>LCO</sub>. The multivariable approaches clustered proteins according to the severity of diffusion impairment. Clusters were composed of host mediators of cell proliferation and differentiation, tissue remodeling, angiogenesis, coagulation, inflammation, immune response and fibrosis signaling. In survivors of SARS-CoV-2–induced ARDS, lung diffusion impairment is associated with specific circulating factors implicated in multiple injury and repair mechanisms. The host protein signatures allow a better understanding of pulmonary sequelae and may constitute therapeutic targets and biomarkers. The long-term biological and clinical significance of these observations requires further investigation.