cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12850784.v1
title: Cross-cultural adaptation and validation of the Swallowing Disturbance Questionnaire and the Sialorrhea Clinical Scale in Portuguese patients with Parkinson’s disease

description: To date, no valid outcome measure has been developed in European Portuguese (EP) to evaluate the Parkinsons’ Disease (PD) patients' (PwP) reports regarding their swallowing disturbances. The aim of this study was to translate and cross-culturally adapt the Swallowing Disturbance Questionnaire (SDQ) and the Sialorrhea Clinical Scale for PD (SCS-PD) into EP and to determine its clinimetric properties in PwP. The original English SDQ and SCS-PD versions were cross-culturally adapted following recommendations established in international guidelines. The validation process involved 75 PwP and 65 healthy sex- and age-matched participants. The EP versions of the SDQ and SCS-PD are equivalent to the original versions (content, depth, and scoring). Statistical analyses for the SDQ tool revealed good feasibility (missing data &lt;5%), acceptability (no floor or ceiling effects), excellent internal consistency (Cronbach´s α = 0.95), good construct validity (78.5% revealed large to moderate loadings), moderate convergent validity (<i>r</i> = 0.60), good divergent validity (<i>r</i> = 0.40), good known-groups validity (<i>p</i>-value r = 0.78), good divergent validity (<i>r</i> = 0.39), good known groups validity (<i>p</i>-value &lt; .05) and a fair sensitivity and specificity (AUC = 0.704). The EP versions of the SDQ and SCS-PD maintained the characteristics of the original versions and therefore consistent tools to be used in PwP.
DOI: 10.5281/zenodo.5705520
title: data for Thermodynamics of correlated electrons in a magnetic field

description: DQMC data and Jupyter/Python data analysis scripts
DOI: 10.6084/m9.figshare.17012555.v1
title: Analysis of Fungi Diversity in the Natural Fermentation of 'Hongyang' Kiwifruit

description: Fungal dynamic changes in the natural fermentation broth of 'Hongyang' kiwifruit
DOI: 10.25934/pr00005757.0
title: Available IPD datapackage for study 'AURELIA: A Multi-center, Open-label, Randomised, Two-arm Phase III Trial of the Effect on Progression Free Survival of Bevacizumab Plus Chemotherapy Versus Chemotherapy Alone in Patients With Platinum-resistant, Epithelial Ovarian, Fallopian Tube or Primary Peritoneal Cancer'

description: This randomized, open-label, 2-arm study will evaluate the efficacy and safety of Avastin added to chemotherapy versus chemotherapy alone in patients with epithelial ovarian, fallopian tube or primary peritoneal cancer with disease progression within 6 months of platinum therapy. All patients will receive standard chemotherapy with either paclitaxel or topotecan or liposomal doxorubicin. Patients randomized to Arm 2 of the study will receive Avastin (10 mg/kg iv 2-weekly or 15 mg/kg iv 3-weekly) concomitantly. Anticipated time on study treatment is until disease progression. Patients will then receive standard of care, those in Arm 1 (chemotherapy only) may opt to receive Avastin (15 mg/kg iv 3-weekly). Target sample size is 100-500 individuals.
DOI: 10.5281/zenodo.5707138
title: Raw and analysed data for contribution paper "Investigation of deoxidation mechanisms on Cu surfaces in a dielectric barrier discharge plasma"

description: <strong>Abstract</strong><br> In this study, we present a laboratory setup for the deoxidation of 10 × 10 mm2 samples via dielectric barrier discharge (DBD) plasma and we show results for the deoxidation of copper in an Ar/H2 atmosphere at 1000 hPa. The effect of combined heat and DBD plasma treatment was investigated by heating surfaces up to 250 °C during plasma operation. All results were compared for surfaces before and after plasma treatment. The chemical structure of surfaces was studied using X-ray Photoelectron Spectroscopy (XPS) and the morphology was measured via Confocal Laser Scanning Microscopy (CLSM). Additionally, the properties of the plasma during the reduction of copper oxides were investigated via Optical Emission Spectroscopy (OES).
DOI: 10.5281/zenodo.5707137
title: Raw and analysed data for contribution paper "Investigation of deoxidation mechanisms on Cu surfaces in a dielectric barrier discharge plasma"

description: <strong>Abstract</strong><br> In this study, we present a laboratory setup for the deoxidation of 10 × 10 mm2 samples via dielectric barrier discharge (DBD) plasma and we show results for the deoxidation of copper in an Ar/H2 atmosphere at 1000 hPa. The effect of combined heat and DBD plasma treatment was investigated by heating surfaces up to 250 °C during plasma operation. All results were compared for surfaces before and after plasma treatment. The chemical structure of surfaces was studied using X-ray Photoelectron Spectroscopy (XPS) and the morphology was measured via Confocal Laser Scanning Microscopy (CLSM). Additionally, the properties of the plasma during the reduction of copper oxides were investigated via Optical Emission Spectroscopy (OES).
DOI: 10.25721/nhba-r274
title: Essai d'accord du violon
DOI: 10.34740/kaggle/dsv/2821977
title: AutoXGB
DOI: 10.25721/z1wq-d781
title: Essai de polka et essai d'accord
DOI: 10.25721/7nmd-er36
title: La Madelon
DOI: 10.25721/ys8s-2f47
title: Essai de polka
DOI: 10.25721/p8xs-cj82
title: Essai de polka
DOI: 10.25721/tgg5-fm72
title: Essai de valse
DOI: 10.25721/bx14-az32
title: Essai de scottish
DOI: 10.25721/fv0b-3057
title: La Madelon
DOI: 10.5281/zenodo.5706586
title: Salmon Softcliping Tutorial - Prokaryotic Dataset

description: This is a paired-end short read simulation dataset of Salmonella along with two different representations of Salmonella transcriptome. "genes.fasta" is the regular gene/CDS-based transcriptome that is commonly used in prokaryotic expression quantification. "operons.fasta" is an operon-based transcriptome in which the sequences of the co-transcribed genes are concatenated together to form a united operon sequence.
DOI: 10.5281/zenodo.5707184
title: Supporting data (structural data, sample descriptions, microprobe data)

description: Supporting data for the manuscript entitled "Tectonic evolution of the Nevado-Filábride complex (Sierra de los Filábres, Southeastern Spain): insights from new structural and geochronological data", submitted to Tectonics.
DOI: 10.5281/zenodo.4880426
title: Supporting data (structural data, sample descriptions, microprobe data)

description: Supporting data for the manuscript entitled "Tectonic evolution of the Nevado-Filábride complex (Sierra de los Filábres, Southeastern Spain): insights from new structural and geochronological data", submitted to Tectonics.
DOI: 10.5281/zenodo.5707172
title: Pre-processed data of atlas in EUCP-WP2

description: <strong>Preprocessed data of Atlas in EUCP-WP2</strong> We provide some notebooks that check the original/raw data, fix/add the metadata using CF-conventions https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html and save data in a NetCDF format. See https://github.com/eucp-project/atlas/blob/main/python/README.md. The pre-processed data follows the following standards: <strong>coordinates</strong> climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01'] time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF" latitude (lat) (float64) [30, ..., 75] longitude (lon) (float64) [-10, ..., 40] percentile (percentile) (int64) [10, 25, 50, 75, 90] <strong>variables</strong> tas (time, latitude, longitude, percentile) (float64) pr (time, latitude, longitude, percentile) (float64) <strong>attributes</strong> The attributes of variables and coordinates are defined as: "tas": {<br> "description": "Change in Air Temperature",<br> "standard_name": "Change in Air Temperature",<br> "long_name": "Change in Near-Surface Air Temperature",<br> "units": "K",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> }, "pr": {<br> "description": "Relative precipitation",<br> "standard_name": "Relative precipitation",<br> "long_name": "Relative precipitation",<br> "units": "%",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> }, "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"}, "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"}, "time": {<br> "climatology": "climatology_bounds",<br> "long_name": "time",<br> "axis": "T",<br> "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"],<br> "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.",<br> }, "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"}, The attributes of the data is defined as: "description": "Contains modified <code>institute</code> <code>method</code> data used for Atlas in EUCP project.", "history": "original <code>institute</code> <code>method</code> data files ...", <strong>output file names</strong> output_file_name = <code>prefix_activity_institution-id_source_method_sub-method_cmor-var</code> example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc <strong>Reference</strong>: https://eucp-project.github.io/atlas/about
DOI: 10.5281/zenodo.5707193
title: xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing

description: xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore. All the preprocessed datasets used in the paper are provided here. Please cite our paper below when using these data.<br> Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
description: {"references": ["Ploy N. Pratanwanich et al. \"Detection of differential RNA modifications from direct RNA sequencing of human cell lines.\" bioRxiv (2020)."]}
DOI: 10.5281/zenodo.4587661
title: xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing

description: xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore. All the preprocessed datasets used in the paper are provided here. Please cite our paper below when using these data.<br> Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
description: {"references": ["Ploy N. Pratanwanich et al. \"Detection of differential RNA modifications from direct RNA sequencing of human cell lines.\" bioRxiv (2020)."]}
DOI: 10.25934/pr00005929.1
title: Available IPD datapackage for study 'A Randomized, Double-Blind, Placebo-Controlled, Multicenter Study to Evaluate the Safety and Efficacy of Tocilizumab in Patients With Severe COVID-19 Pneumonia'

description: This study will evaluate the efficacy, safety, pharmacodynamics, and pharmacokinetics of tocilizumab (TCZ) compared with a matching placebo in combination with standard of care (SOC) in hospitalized patients with severe COVID-19 pneumonia.
DOI: 10.15151/esrf-es-624205223
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes. In a nutshell, there are 42 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level.
DOI: 10.5517/ccdc.csd.cc297l16
title: CCDC 2122447: Experimental Crystal Structure Determination

description: Related Article: Alexander Medvedev|2021|CSD Communication|||
DOI: 10.25721/gdnt-2085
title: Phrase sifflée "au pré"
DOI: 10.25934/pr00007294.0
title: Available IPD datapackage for study 'A Phase III, Randomized, Double-Blind, Multicenter Study to Evaluate the Efficacy and Safety of Remdesivir Plus Tocilizumab Compared With Remdesivir Plus Placebo in Hospitalized Patients With Severe COVID-19 Pneumonia'

description: This study will evaluate the efficacy and safety of combination therapy with remdesivir plus tocilizumab compared with remdesivir plus placebo in hospitalized patients with COVID-19 pneumonia.
DOI: 10.25721/xpby-zv22
title: "Au pré", même phrase parlée que celle enregistrée sur la bande MUS1963.36.146
DOI: 10.5281/zenodo.5704573
title: Reference Corpus of Early New High German (1350–1650)

description: Das "Referenzkorpus Frühneuhochdeutsch" (ReF) ist ein Korpus diplomatisch transkribierter und annotierter Texte des Frühneuhochdeutschen (1350–1650). Es wurde an den drei Projektstandorten Bochum, Halle und Potsdam erstellt und enthält morphologische (Bochum, Halle) und syntaktische Annotationen (Potsdam). The "Reference Corpus of Early New High German" (ReF) is a corpus of diplomatically transcribed and annotated texts from Early New High German (1350–1650). It was created at the three project sites Bochum, Halle, and Potsdam and contains morphological (Bochum, Halle) and syntactic annotations (Potsdam).
DOI: 10.5281/zenodo.5707205
title: Input data and code supporting the cod_v2 population estimates

description: The <strong><em>model.zip</em></strong> file contains input data and code supporting the cod_v2 population estimates. The file<strong> <em>modelData.RData</em></strong> provides the input data to the JAGS model and the file<em> <strong>modelCode.R</strong></em> contains the source code for the model in the JAGS language. The files can be used to run the model for further assessments and as a starting point for further model development.
DOI: 10.25502/yw88-2p10/d
title: SNP based KASP markers for quality control in cowpea breeding

description: The Accelerated Varietal Improvement and Seed Delivery of Legumes and Cereals in Africa (AVISA) project consolidates the gains made by TL-III, HOPE-II and HarvestPlus -- all funded by the BMGF – while refocusing the work to improve the CGIAR and key NARS breeding and seed delivery systems. The AVISA initiative comprises the most important dryland cereals (sorghum and pearl millet) and legume crops (groundnut, common bean and cowpea) on the African continent, in the key BMGF focus geographies where these crops are important (Burkina Faso, Ghana, Mali, Nigeria, Tanzania and Uganda). AVISA goal is to accelerate the delivery of improved varieties of dryland cereals and legumes to women and men farmers in Africa to improve their livelihoods in the face of variable and changing climates. Objectives: 1. Improve the effectiveness and efficiency of the Africa-focused breeding programs of 3 CGIAR centers and NARS partners by adopting modern approaches akin to those employed by private sector breeding companies. 2. Engage the public and private sectors in innovative and gender-responsive ways to enhance the supply of and access to high quality seed of improved varieties and hybrids.
DOI: 10.5281/zenodo.5706116
title: GlobalSCAPE Diary Survey Pilot

description: The GlobalSCAPE project is setting out to investigate the experiences, attitudes, skills, needs, challenges and professional development of science communicators around the world. This is being achieved with a diary survey, a style of survey designed to be repeated on a set interval several times. To assess the clarity of survey questions prepared for the GlobalSCAPE science communicator diary research, a pilot study was conducted with a sample of participants gathered by project partners (<em>N </em>= 23). This pilot research followed a piggyback approach, where follow-up questions were asked of respondents after they completed each step in the survey. Here, we present the dataset from this pilot survey. For data privacy reasons, open-ended items were excluded from this dataset
DOI: 10.5281/zenodo.5703837
title: Identification of beneficial and detrimental bacteria that impact sorghum responses to drought using multi-scale and multi-system microbiome comparisons

description: <strong>Background: </strong>Drought is a major abiotic stress that limits agricultural productivity. Previous field-level experiments have demonstrated that drought decreases microbiome diversity in the root and rhizosphere and may lead to enrichment of specific groups of microbes, such as <em>Actinobacteria</em>. How these changes ultimately affect plant health is not well understood. In parallel, model systems have been used to tease apart the specific interactions between plants and single, or small groups of microbes. However, translating this work into crop species and achieving increased crop yields within noisy field settings remains a challenge. Thus, the next scientific leap forward in microbiome research must cross the great lab-to-field divide. Toward this end, we combined reductionist, transitional and ecological approaches, applied to the staple cereal crop sorghum to identify key beneficial and detrimental, root associated microbes that robustly affect drought stressed plant phenotypes. <strong>Results: </strong>Fifty-three bacterial strains, originally characterized for association with <em>Arabidopsis</em>, were applied to sorghum seeds and their effect on root growth was monitored for seven days. Two <em>Arthrobacter </em>strains, members of the <em>Actinobacteria </em>phylum, caused root growth inhibition (RGI) in <em>Arabidopsis</em> and sorghum. In the context of synthetic communities, strains of <em>Variovorax</em> were able to protect both <em>Arabidopsis </em>and sorghum from the RGI caused by <em>Arthrobacter</em>. As a transitional system, we tested the synthetic communities through a 24-day high-throughput sorghum phenotyping assay and found that during drought stress, plants colonized by <em>Arthrobacter</em> were significantly smaller and had reduced leaf water content as compared to control plants. However, plants colonized by both <em>Arthrobacter</em> and <em>Variovorax</em> performed as well or better than control plants. In parallel, we performed a field trial wherein sorghum was evaluated across well-watered and drought conditions. Drought responsive microbes were identified, including an enrichment in <em>Actinobacteria</em>, consistent with previous findings. By incorporating data on soil properties into the microbiome analysis, we accounted for experimental noise with a newly developed method and were then able to observe that the abundance of <em>Arthrobacter</em> strains negatively correlated with plant growth. Having validated this approach, we cross-referenced datasets from the high-throughput phenotyping and field experiments and report a list of high confidence bacterial taxa that positively associated with plant growth under drought stress. <strong>Conclusions: </strong>A three-tiered experimental system connected reductionist and ecological approaches and identified beneficial and deleterious bacterial strains for sorghum under drought stress.
DOI: 10.5281/zenodo.4688774
title: Identification of beneficial and detrimental bacteria that impact sorghum responses to drought using multi-scale and multi-system microbiome comparisons

description: <strong>Background: </strong>Drought is a major abiotic stress that limits agricultural productivity. Previous field-level experiments have demonstrated that drought decreases microbiome diversity in the root and rhizosphere and may lead to enrichment of specific groups of microbes, such as <em>Actinobacteria</em>. How these changes ultimately affect plant health is not well understood. In parallel, model systems have been used to tease apart the specific interactions between plants and single, or small groups of microbes. However, translating this work into crop species and achieving increased crop yields within noisy field settings remains a challenge. Thus, the next scientific leap forward in microbiome research must cross the great lab-to-field divide. Toward this end, we combined reductionist, transitional and ecological approaches, applied to the staple cereal crop sorghum to identify key beneficial and detrimental, root associated microbes that robustly affect drought stressed plant phenotypes. <strong>Results: </strong>Fifty-three bacterial strains, originally characterized for association with <em>Arabidopsis</em>, were applied to sorghum seeds and their effect on root growth was monitored for seven days. Two <em>Arthrobacter </em>strains, members of the <em>Actinobacteria </em>phylum, caused root growth inhibition (RGI) in <em>Arabidopsis</em> and sorghum. In the context of synthetic communities, strains of <em>Variovorax</em> were able to protect both <em>Arabidopsis </em>and sorghum from the RGI caused by <em>Arthrobacter</em>. As a transitional system, we tested the synthetic communities through a 24-day high-throughput sorghum phenotyping assay and found that during drought stress, plants colonized by <em>Arthrobacter</em> were significantly smaller and had reduced leaf water content as compared to control plants. However, plants colonized by both <em>Arthrobacter</em> and <em>Variovorax</em> performed as well or better than control plants. In parallel, we performed a field trial wherein sorghum was evaluated across well-watered and drought conditions. Drought responsive microbes were identified, including an enrichment in <em>Actinobacteria</em>, consistent with previous findings. By incorporating data on soil properties into the microbiome analysis, we accounted for experimental noise with a newly developed method and were then able to observe that the abundance of <em>Arthrobacter</em> strains negatively correlated with plant growth. Having validated this approach, we cross-referenced datasets from the high-throughput phenotyping and field experiments and report a list of high confidence bacterial taxa that positively associated with plant growth under drought stress. <strong>Conclusions: </strong>A three-tiered experimental system connected reductionist and ecological approaches and identified beneficial and deleterious bacterial strains for sorghum under drought stress.
DOI: 10.25934/pr00005710.0
title: Available IPD datapackage for study 'A Phase III, Multicenter, Randomized, Blinded, Placebo-controlled Trial of Carboplatin and Gemcitabine Plus Bevacizumab in Patients With Platinum-sensitive Recurrent Ovary, Primary Peritoneal, or Fallopian Tube Carcinoma'

description: This is a placebo-controlled, randomized, multicenter Phase III study that will evaluate the safety and efficacy of bevacizumab, administered in combination with carboplatin with gemcitabine, in women with platinum-sensitive recurrent epithelial ovarian, primary peritoneal, or fallopian tube carcinoma.
DOI: 10.5281/zenodo.4664447
title: CMIF Briefe aus der Mainzer Republik

description: Digital index of letters (in Correspondence Metadata Interchange Format, CMIF) of the following publication: Dumont, Franz: „Briefe aus der Mainzer Republik“, Jahrbuch für westdeutsche Landesgeschichte 1977/3, S. 305–349.
DOI: 10.5281/zenodo.1248095
title: CMIF Briefe aus der Mainzer Republik

description: Digital index of letters (in Correspondence Metadata Interchange Format, CMIF) of the following publication: Dumont, Franz: „Briefe aus der Mainzer Republik“, Jahrbuch für westdeutsche Landesgeschichte 1977/3, S. 305–349.