cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/cf6f71949066c546177bb3136a7ec74b
title: Flume Experiment Testing the Impact of Artificial Streambank Roots on Velocity, Reynold's Shear Stress, and Turbulent Kinetic Energy using an Acoustic Doppler Profiler

description: The data published here is expected to accompany one publicly available dissertation (Chapter 4 of dissertation) and one separate journal publication. Once published and available online, the metadata will be updated with the relevant article information. The journal article/dissertation will have additional information regarding the published datasets and the methods used to collect the data. All data collected from these studies, and the accompanying Acoustic Doppler Profiler MATLAB files, are presented here. Journal Article title: Impact of Flexible and Rigid Artificial Roots on Stream Hydrodynamics
DOI: 10.5281/zenodo.6915779
title: TTT_tests_data

description: TTT cell test data, used for manuscript submission to JGR Solid Earth in 2022
DOI: 10.5281/zenodo.6915778
title: TTT_tests_data

description: TTT cell test data, used for manuscript submission to JGR Solid Earth in 2022
DOI: 10.18434/mds2-2449
title: ANDiE: the Autonomous Neutron Diffraction Explorer.
DOI: 10.6084/m9.figshare.20137160
title: Requirements Engineering for Internet of Things (loT) Software Systems Development: a Systematic Mapping Study

description: This dataset contains the primary studies obtained for a Systematic Mapping Study as well as graphics an tables for result interpretation.
DOI: 10.6084/m9.figshare.20137160.v1
title: Requirements Engineering for Internet of Things (loT) Software Systems Development: a Systematic Mapping Study

description: This dataset contains the primary studies obtained for a Systematic Mapping Study as well as graphics an tables for result interpretation.
DOI: 10.6084/m9.figshare.20387085
title: THz-TDS data

description: THz-TDS data for all 10 subjects
DOI: 10.6084/m9.figshare.20387271
title: Imaging data

description: THz imaging data & 3D camera imaging data
DOI: 10.6084/m9.figshare.19191227
title: multilayer structure & transmission data

description: for data availability
DOI: 10.6084/m9.figshare.20387277
title: Supplementary file_PTM.docx

description: survey, figures and explanation of concepts
DOI: 10.6084/m9.figshare.20387277.v1
title: Supplementary file_PTM.docx

description: survey, figures and explanation of concepts
DOI: 10.6084/m9.figshare.20383416.v1
title: scltnn_data

description: the raw data to reproduce the result of scltnn
DOI: 10.7294/20371875.v1
title: New Mexico Data from the Wildlife Viewer Survey

description: Through a 2021 AFWA MultiState Conservation Grant, Virginia Tech and the AFWA Wildlife Viewing and Nature Tourism Working Group conducted national and state level surveys to gather more data on wildlife viewers. This dataset is from the survey conducted in New Mexico. <br> It contains: 1. README.rtf: an overview of the datasheets and files. 2. New Mexico Wildlife Viewer Survey.pdf: a pdf version of the survey instrument 3. NewMexico_WildlifeViewerSurvey.csv: a csv (comma-separated values) file of the dataset 4. NewMexico_WildlifeViewerSurvey.sav: a sav (compatible with SPSS, the Statistical Package for Social Science) file of the dataset 5. WildlifeViewerSurveyData_VariableGuide: a guide to each variable name in the datasets.
DOI: 10.7294/20371875
title: New Mexico Data from the Wildlife Viewer Survey

description: Through a 2021 AFWA MultiState Conservation Grant, Virginia Tech and the AFWA Wildlife Viewing and Nature Tourism Working Group conducted national and state level surveys to gather more data on wildlife viewers. This dataset is from the survey conducted in New Mexico. <br> It contains: 1. README.rtf: an overview of the datasheets and files. 2. New Mexico Wildlife Viewer Survey.pdf: a pdf version of the survey instrument 3. NewMexico_WildlifeViewerSurvey.csv: a csv (comma-separated values) file of the dataset 4. NewMexico_WildlifeViewerSurvey.sav: a sav (compatible with SPSS, the Statistical Package for Social Science) file of the dataset 5. WildlifeViewerSurveyData_VariableGuide: a guide to each variable name in the datasets.
DOI: 10.5255/ukda-sn-855476
title: Future of Legal Gender: Survey and Interview Data, 2018-2022

description: This dataset consists of 126 semi-structured (including 5 unstructured interviews) and a public survey to explore current understandings of legal sex/gender and attitudes towards its decertification. Decertification is used in this project to mean that people would no longer have a legal sex or gender (birth certificates, for instance, would no longer register a baby’s sex). Interviews were mostly conducted in-person prior to covid. After March 2020, they were undertaken via online platforms. The transcripts include interviews with a wide range of stakeholders exploring the implications of reform to legal sex and gender certification. Interviews also addressed organisations’ current practice in relation to the use of sex and gender categories, their response to gender identities such as agender and nonbinary, the challenges that innovation in this area face, and the question of how an identity-based approach to gender could combine with one attentive to structural gender inequalities. Predominantly semi-structured interviews were conducted with 1) Members of different publics using tailored interview methods to explore continuity, change and disruption in understandings and interpretations of gender (and its relationship to sex) across social and legal contexts; 2) public bodies, service providers, NGOs, regulatory bodies, religious communities, trade unions, legislative drafters, academics, and others working in related fields. A number of interviews were carried out for this research project that have not been archived. This is for several reasons, including in a few cases technological failure. However, one recurrent reason for non-archiving relates to the inability of organisational interviews to be sufficiently anonymised and the currently contentious nature of gender/ sex law reform discussions. In some cases, despite giving initial permission to archive when the interview was carried out, interviewees subsequently requested that their interview not be archived. The dataset also consists of a survey which explores wider public perceptions of reforming legal sex and gender. The ‘Attitudes to Gender’ survey was conducted as part of the ‘implications for the wider public’ strand of the Future of Legal Gender research project and focused on asking questions to gain a better understanding of what legal sex and gender status means for people, and whether it matters to individuals in their everyday lives. The survey ran from October to December 2018 in partial overlap with the UK Government’s public consultation on potential reform of the Gender Recognition Act 2004 (GRA) in England and Wales. We chose to develop the survey questionnaire ourselves rather than use pre-existing measures so we could ensure the survey mapped well onto the overall aims and objectives of the project. Sampling was opportunistic. We received 3101 usable responses to the survey. Some demographic data was collected and analysed (e.g. age, class, ethnicity, sexual preference, religion) but removed from this SSPS data set for anonymity purposes.
DOI: 10.25934/pr00007776
title: Antipsychotic drugs vs. placebo in the treatment of antipsychotic naive and/or first episode children or adolescents with psychosis: A systematic review and meta-analysis of double-blind randomized trials

description: The efficacy of antipsychotics is doubted by critiques, because the effect sizes in the randomised trials conducted in usually chronic patients are relatively small. We are therefore planning a pairwise meta-analysis of antipsychotic drugs versus placebo in antipsychotic naïve children or adolescents to summarize all the available evidence of double-blind randomized controlled trials. There is currently not a single study comparing antipsychotic drugs versus placebo in antipsychotic naïve children or adolescents. However, studies in children and adolescents should include a number of antipsychotic naïve or first episode patients. We expect the observed effect sizes of efficacy to be higher in this population. The results have the potential to inform drug choice made by individuals with psychosis.
DOI: 10.17632/3pmnxwhgxk.1
title: Tumor tissue TD nuclear expression

description: The current database is comprised of 54 RCC histological samples, out of a recent (2016/2017), consecutive RCC series (90 cases), as provided by Arad County Hospital, Urology and Morphopathology Department. All patients have undergone partial or radical nephrectomy directly, without any neoadjuvant systemic therapy. The study population inclusion criteria imposed mandatory presence of healthy renal tissue in the immediate proximity of the tumor on HE staining. We collected available clinical data on all cases, namely: age, sex, TNM stage at diagnosis and its individual components (pT, cN and cM). Conventional pathological parameters were reevaluated (RCC subtype and Fuhrmann grade), then TD-targeted IHC staining was performed using human skin as an external positive control. Tumor tissue TD nuclear expression is quantified categorically, quantitatively, qualitatively and globally. Adjacent healthy renal tissue TD nuclear staining localization patterns are included.
DOI: 10.17632/typh3wcp8f.2
title: The reference list of RAIR FFPE tissues from RMHWHU

description: The reference list of formalin-fixed paraffin-embedded (FFPE) tissue slices from radioiodine refractory thyroid cancer (RAIR) patients in our hospital. The list can serve as a reference manual when a researcher wants to find out which case stores a certain slice and which picture records its cancer area. Patients' information have been anonymized.
DOI: 10.17632/562tvpgkrc.1
title: DO study

description: data for manuscript
DOI: 10.17632/c4n7hcgggj.1
title: A possible origin of the lunar Mg-spinel-bearing lithologies as told by the meteorite NWA 13191

description: This dataset includes detailed compositions of plagioclase, melt, spinel, olivine, and pyroxene in different types of clasts analyzed by EPMA, whole-rock major and single-mineral trace element compositions, and Raman spectroscopy data.
DOI: 10.17632/n3mb368cxk.1
title: Data about a Meta-analysis: Gamification and Behavior Intention

description: This dataset consists of:

Raw data for R analysis of primary articles;
R source code used for analysis in R language.
DOI: 10.25375/uct.20286243
title: MIS-C RNA immune gene expression data

description: Quantitative PCR results for 80 immune genes of interest from patients with multisystem inflammatory syndrome in children (MIS-C) and other controls: healthy non-inflammatory paediatric controls, Kawasaki disease, lupus, and other inflammatory conditions. Data is presented as 1/deltaCT values computed for each transcript relative to mean of three reference transcripts (<em>ACTR3</em>, <em>CDC42</em>, <em>USF2</em>). Transcripts of interest were pre-amplified using a pool of 96 TaqMan primer-probe assays. Pre-amplified cDNA, along with an internal positive control and a no-template (water) control, and the 96 primer-probe assays, were loaded into a microfluidic 96.96 Gene Expression Integrated Fluidic Circuit (Fluidigm) and gene expression of individual transcripts was then quantified by quantitative real time PCR performed on a BioMark HD (Fluidigm) instrument. The following parameters were applied for extracting cycle threshold (CT) values: Linear (Derivative) baseline correction, Quality Threshold of 0.3 and Auto (Global) for Ct Threshold Method using Fluidigm software version 4.5.2. <br> <strong>Column headings and descriptions</strong> A1 - Sample_code - deidentified sample identifier B1 - Disease_group - disease group (healthy control, juvenile systemic lupus erythematosus, Kawasaki disease, inflammatory (sepsis) control, or MIS-C C1 - Treatment - treatment by the timepoint (none, or various combinations of IVIG and/or medrol) D1 - Treat_time_(hrs_since_1st_treatment) - time in hours since the first treatment (described in C1) E1-CF1 - [gene names] - expression of the gene name indicated in the column heading <br>
DOI: 10.25375/uct.20286243.v1
title: MIS-C RNA immune gene expression data

description: Quantitative PCR results for 80 immune genes of interest from patients with multisystem inflammatory syndrome in children (MIS-C) and other controls: healthy non-inflammatory paediatric controls, Kawasaki disease, lupus, and other inflammatory conditions. Data is presented as 1/deltaCT values computed for each transcript relative to mean of three reference transcripts (<em>ACTR3</em>, <em>CDC42</em>, <em>USF2</em>). Transcripts of interest were pre-amplified using a pool of 96 TaqMan primer-probe assays. Pre-amplified cDNA, along with an internal positive control and a no-template (water) control, and the 96 primer-probe assays, were loaded into a microfluidic 96.96 Gene Expression Integrated Fluidic Circuit (Fluidigm) and gene expression of individual transcripts was then quantified by quantitative real time PCR performed on a BioMark HD (Fluidigm) instrument. The following parameters were applied for extracting cycle threshold (CT) values: Linear (Derivative) baseline correction, Quality Threshold of 0.3 and Auto (Global) for Ct Threshold Method using Fluidigm software version 4.5.2. <br> <strong>Column headings and descriptions</strong> A1 - Sample_code - deidentified sample identifier B1 - Disease_group - disease group (healthy control, juvenile systemic lupus erythematosus, Kawasaki disease, inflammatory (sepsis) control, or MIS-C C1 - Treatment - treatment by the timepoint (none, or various combinations of IVIG and/or medrol) D1 - Treat_time_(hrs_since_1st_treatment) - time in hours since the first treatment (described in C1) E1-CF1 - [gene names] - expression of the gene name indicated in the column heading <br>
DOI: 10.17632/5sr2ys6tjr.1
title: 20220401_ogiso

description: Raw data for "A liquid chromatography-mass spectrometry method for studying interaction between a mixture of membrane proteins and low-molecular-weight compounds
DOI: 10.17632/n6fnpc8jm6.1
title: Spectral Sub-Band Filter Dependent Windowing Music Mood Machine Learning Dataset

description: This dataset contains the generated features and targets used for training music mood classification systems in [1]. The data contains mean and standard deviation summaries of the sub-band filter-dependent windowing features extracted from the ‘Mirex-Like Mood' - 'PandaMood’ Dataset [2]. Data is in CSV format; feature names contain the following suffixes: f (1-10), mean or std. The 'f' suffix specifies the sub-band filter index while 'mean' or 'std' is the statistical summary. Please refer to the source [1] for the extraction specification details.

References:
[1] F. Prezja, “Developing and testing sub-band spectral features in music genre and music mood machine learning,” Master Thesis, University of Jyväskylä, Jyväskylä, November. 2018. [Online]. Available: https://jyx.jyu.fi/bitstream/handle/123456789/60963/1/URN%3ANBN%3Afi%3Ajyu-201901081104.pdf
[2] R. Panda, R. Malheiro, B. Rocha, A. P. Oliveira, and R. P. Paiva, “Multi-Modal Music Emotion Recognition: A New Dataset, Methodology and Comparative Analysis,” 10th Int. Symp. Comput. Music Multidiscip. Res. – C. 2013, pp. 570–582, 2013.
DOI: 10.17632/7rksfp2bbk.2
title: Flow condensation R134a, R450A, and R513A: IJHMT publication by Morrow and Derby

description: Experimental flow condensation heat transfer coefficient and pressure drop data are tabulated for R134a, R513A, and R450A in seven parallel 0.95-mm diameter mini-channels for a range of mass fluxes (i.e., 200–500 kg/m2s) and qualities (i.e., 0.2–0.8) at a saturation temperature of 40°C. The heat transfer coefficient uncertainties for all experiments were ± 6.3–21.2%, with an average of ± 9.8%. The data tabulated are the raw data from the paper “Flow condensation heat transfer and pressure drop performance of R134a alternative refrigerants R513A and R450A in a 0.95-mm-diameter minichannel,” accepted by the International Journal of Heat and Mass Transfer and its accompanying Data in Brief.
DOI: 10.17632/f9sgx9nt2t.2
title: Table 1. Demographic, operative, and follow-up information on vulvar conditions treated by laser

description: Table 1 for A Systematic Review of Laser Therapy For Vulvar Skin Conditions
DOI: 10.17632/v79vznbkm2.1
title: LINF_300036700

description: S-adenosylmethionine decarboxylase | ADOMETDC
Leishmania infantum (strain JPCM5)
DOI: 10.17632/9f4w7p668g.1
title: LINF_300036500

description: RNA-binding protein 42 | RBP42 | Rasputin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/j2zyr57dch.1
title: Host and microbiome features of secondary infections in lethal covid-19. Zacharias et al

description: Autopsy study investigating microbial and host factors driving lethal covid-19 courses. Supplementary tables information and data.
DOI: 10.6084/m9.figshare.20387331
title: BETr Labeling Project

description: Raw data used for the main manuscript of BETr Labeling Project
DOI: 10.17632/7h4h2s8fhc.1
title: MMSE, FAB, and MEG source study

description: Mini Mental State Examination (MMSE), Frontal Assessment battery (FAB), and magnetoencephalography (MEG) source study
DOI: 10.17632/7ggfxsc6vs.1
title: Lifetime prediction

description: The code in our paper 'A novel deep learning-based life prediction method for lithium-ion batteries
with strong generalization capability under multiple cycle profiles'.
DOI: 10.17632/nzf7ym9h6w.1
title: Spectral Sub-Band Filter Dependent Windowing Music Genre Machine Learning Dataset

description: This dataset contains the generated features and targets used for training music genre classification systems in [1]. The data contains mean and standard deviation summaries of the sub-band filter-dependent windowing features extracted from the fault-filtered version of the GTZAN audio genre dataset [2]. Fault filtering specifications are described in [1]. Data is in CSV format; feature names contain the following suffixes: f (1-10), mean or std. The 'f' suffix specifies the sub-band filter index while 'mean' or 'std' is the statistical summary. Please refer to the source [1] for the extraction specification details.

References:
[1] F. Prezja, “Developing and testing sub-band spectral features in music genre and music mood machine learning,” Master Thesis, University of Jyväskylä, Jyväskylä, November. 2018. [Online]. Available: https://jyx.jyu.fi/bitstream/handle/123456789/60963/1/URN%3ANBN%3Afi%3Ajyu-201901081104.pdf
[2] G. Tzanetakis and P. Cook, “Musical genre classification of audio signals,” IEEE Trans. Speech Audio Process., vol. 10, no. 5, pp. 293–302, Jul. 2002.
DOI: 10.17632/csx49c78c6.2
title: Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response. Doykov et al

description: This data relates to the paper 'Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response by I Doykov et al. Determining the protection an individual has to SARS-CoV-2 variants of concern (VoC) is crucial for future immune surveillance, vaccine development and understanding the changing immune response. We devised a more informative assay to current ELISA based serology using  multiplexed, baited, targeted-proteomics for direct detection of multiple proteins in the SARS-CoV-2 anti-spike antibody immunocomplex. 
Serum from individuals collected after infection, or first and second dose vaccination demonstrate this approach shows concordance with existing serology and neutralisation. Our assays show altered responses of both immunoglobulins and complement to the Alpha (B.1.1.7), Beta (B.1.351) and Delta (B.1.617.1) VoC. and a reduced response to Omicron (B1.1.1529). We were able to identify individuals who had prior infection, and observed that C1q is closely associated with IgG1 (r>0.82) and may better reflect neutralisation to VoC. Analysing  additional immunoproteins beyond IgG, provides important information about our understanding of the response to infection and vaccination.  
The skyine raw data files are provided and the processed data given in the data set which includes the ratio measurements of each protein measured in the immunocomplex assay used on samples from healthcare workers vaccinated and or infected to SARS-CoV2. Quality control assay data are also provided for each peptide/protein in a separate tab.
DOI: 10.17632/jsdj2rmd3r.1
title: EBV-HLH

description: Patients with confirmed EBV-HLH admitted to Beijing Friendship Hospital from January 2015 to December 2019 were enrolled and statistical analysis of their laboratory test results was performed.
DOI: 10.17632/vdmwph6fst.1
title: Dataset for Short and long term deflection analysis of FRP strengthened RC members

description: The raw and processed data required to reproduce the findings of the manuscript Short and long term deflection analysis of FRP strengthened RC members
DOI: 10.6084/m9.figshare.20387328
title: FaimanYaroSI.xlsx

description: Data suggests that the malaria vector mosquito <em>Anopheles coluzzii</em> persists during the dry season in the Sahel through a dormancy mechanism known as aestivation; however, the contribution of aestivation compared to alternative strategies such as migration is unknown. Here, we marked larval <em>Anopheles</em> mosquitoes in two Sahelian villages in Mali using deuterium (2H) to assess the contribution of aestivation to persistence of mosquitoes through the seven-month dry season. After an initial enrichment period, 33% of <em>An. coluzzii</em> mosquitoes were strongly marked. Seven months following enrichment, multiple analysis methods supported the ongoing presence of marked mosquitoes, compatible with the prediction that the fraction of marked mosquitoes should remain stable throughout the dry season if local aestivation is occurring. The results suggest that aestivation is a major persistence mechanism of <em>An. coluzzii </em>in the Sahel, contributing at least 20% of the adults at the onset of rains. This persistence strategy could influence mosquito control and malaria elimination campaigns. This data was used for all the analyses.
DOI: 10.6084/m9.figshare.20387328.v1
title: FaimanYaroSI.xlsx

description: Data suggests that the malaria vector mosquito <em>Anopheles coluzzii</em> persists during the dry season in the Sahel through a dormancy mechanism known as aestivation; however, the contribution of aestivation compared to alternative strategies such as migration is unknown. Here, we marked larval <em>Anopheles</em> mosquitoes in two Sahelian villages in Mali using deuterium (2H) to assess the contribution of aestivation to persistence of mosquitoes through the seven-month dry season. After an initial enrichment period, 33% of <em>An. coluzzii</em> mosquitoes were strongly marked. Seven months following enrichment, multiple analysis methods supported the ongoing presence of marked mosquitoes, compatible with the prediction that the fraction of marked mosquitoes should remain stable throughout the dry season if local aestivation is occurring. The results suggest that aestivation is a major persistence mechanism of <em>An. coluzzii </em>in the Sahel, contributing at least 20% of the adults at the onset of rains. This persistence strategy could influence mosquito control and malaria elimination campaigns. This data was used for all the analyses.
DOI: 10.17632/6tyjrb7ymb.1
title: Association between dupilumab and conjunctivitis: A systematic review and meta-analysis of randomized controlled trials

description: Supplementary material
DOI: 10.17632/hjjzyw7fhy.1
title: Dataset of CBR of soils stabilised using agro-based pozzolans and cementitious binders.

description: This is dataset of CBR of soils stabilised using agro-based pozzolans and cementitious binders with related soil properties namely Atterberg Limits, specific gravity, compaction parameters soil class (i.e soil plasticity class according to the unified soil classification system).