cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7701255
title: Interaction matrices for intransitivity simulations

description: This Rdata object is a “list of list” organised as: [outer competitor interaction strength][within loop competition strength]. [Outer competitor interaction strength list] contains 12 elements, where the first 11 elements contain competition matrices where the fitness differences between the outer competitor and a species of the intransitive loop range from ca. 3 to 1, and a last element with fitness difference of 0 (i.e., no outer competitor impacts the loops). Each [within loop competition strength list] contains 11 species by species matrices where species pairwise fitness differences range from ca. 3 to 1.
DOI: 10.5281/zenodo.7701254
title: Interaction matrices for intransitivity simulations

description: This Rdata object is a “list of list” organised as: [outer competitor interaction strength][within loop competition strength]. [Outer competitor interaction strength list] contains 12 elements, where the first 11 elements contain competition matrices where the fitness differences between the outer competitor and a species of the intransitive loop range from ca. 3 to 1, and a last element with fitness difference of 0 (i.e., no outer competitor impacts the loops). Each [within loop competition strength list] contains 11 species by species matrices where species pairwise fitness differences range from ca. 3 to 1.
DOI: 10.5281/zenodo.7615502
title: Molecular origin of the two-step mechanism of gellan aggregation

description: Data presented in the article entitled <strong>Molecular origin of the two-step mechanism of gellan aggregation</strong>.
DOI: 10.5281/zenodo.7615501
title: Molecular origin of the two-step mechanism of gellan aggregation

description: Data presented in the article entitled <strong>Molecular origin of the two-step mechanism of gellan aggregation</strong>.
DOI: 10.5281/zenodo.7684410
title: CryptoSentiment: A large scale sentiment dataset for cryptocurrencies

description: CryptoSentiment is a dataset, which contains sentiment information about cryptocurrency assets, gathered by various online sources, and analyzed by FinBERT sentiment extractor. More specifically, we provide a publicly available dataset containing fine-grained sentiment analysis data (minute-basis) about cryptocurrency market collected by different online sources. CryptoSentiment dataset includes 235,907 sentiment scores for 14 different cryptocurrencies gathered from various online sources such as news articles and social media.
description: This work has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - IN - NOVATE (project code: T2EDK-02094)
DOI: 10.5281/zenodo.7684409
title: CryptoSentiment: A large scale sentiment dataset for cryptocurrencies

description: CryptoSentiment is a dataset, which contains sentiment information about cryptocurrency assets, gathered by various online sources, and analyzed by FinBERT sentiment extractor. More specifically, we provide a publicly available dataset containing fine-grained sentiment analysis data (minute-basis) about cryptocurrency market collected by different online sources. CryptoSentiment dataset includes 235,907 sentiment scores for 14 different cryptocurrencies gathered from various online sources such as news articles and social media.
description: This work has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - IN - NOVATE (project code: T2EDK-02094)
DOI: 10.5281/zenodo.7554472
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Switzerland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Federal Food Safety and Veterinary Office
description: CH; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554471
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Switzerland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Federal Food Safety and Veterinary Office
description: CH; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.25345/c53776507
title: MassIVE MSV000091412 - Rab35 knockdown in primary mouse hepatoblasts
title: To study the role of Rab35 in the formation of bile canaliculi, primary mouse hepatoblasts were acquired, cultured in matrigel, and subjected to Rab35 knockdown by siRNA with scrambled control (4 biol. replicates each, block-randomised). Samples were subjected to S-trap protein digest and label-free quantification by staggered DIA demultiplexed with MSConvert and processed with DIA-NN, followed by differential expression and gene set enrichment analysis.
DOI: 10.6084/m9.figshare.22219642
title: Supplementary Material for: Evaluation of MicroRNAs expression pattern (miR-28, miR-181a, miR-34a, and miR-31) in Patients with COVID-19 Admitted to ICU, and Diabetic COVID-19 patients

description: Introduction: MicroRNAs, or miRNAs, with regulatory performance in inflammatory responses and infection are the prevalent manifestations of severe Coronavirus disease (COVID-19). This study aimed to evaluate whether PBMC miRNAs are diagnostic biomarkers to screen the ICU COVID-19 and diabetic-COVID-19 subjects. Methods: Candidate miRNAs were selected through previous studies, and then the PBMC levels of selected miRNAs (miR-28, miR-31, miR-34a, and miR-181a) were measured via quantitative reverse transcription PCR. The diagnostic value of miRNAs was determined by the receiver operating characteristic (ROC) curve. The bioinformatics analysis was utilized to predict the DEMs genes and relevant bio-functions. Results: The COVID-19 patients admitted to the ICU had significantly greater levels of selected miRNAs compared to non-hospitalized COVID-19 and healthy people. Besides, the mean miR-28 and miR-34a expression levels in the diabetic-COVID-19 group were upregulated considerably when compared with the non-diabetic COVID-19 group. ROC analyses demonstrated the role of miR-28, -miR-34a, and -181a as new biomarkers to discriminate the non-hospitalized COVID-19 group from the COVID-19 patients admitted to ICU samples, and also miR-34a can probably act as a useful biomarker for screening diabetic COVID-19 patients. Using bioinformatics analyses, we found the performance of target transcripts in many bio-processes and diverse metabolic routes such as regulating multiple inflammatory parameters. Discussion: The difference in miRNA expression patterns between the studied groups suggested that miR-28, miR-34a, and miR181a could be helpful as potent biomarkers for diagnosing and controlling COVID-19.
DOI: 10.6084/m9.figshare.22219642.v1
title: Supplementary Material for: Evaluation of MicroRNAs expression pattern (miR-28, miR-181a, miR-34a, and miR-31) in Patients with COVID-19 Admitted to ICU, and Diabetic COVID-19 patients

description: Introduction: MicroRNAs, or miRNAs, with regulatory performance in inflammatory responses and infection are the prevalent manifestations of severe Coronavirus disease (COVID-19). This study aimed to evaluate whether PBMC miRNAs are diagnostic biomarkers to screen the ICU COVID-19 and diabetic-COVID-19 subjects. Methods: Candidate miRNAs were selected through previous studies, and then the PBMC levels of selected miRNAs (miR-28, miR-31, miR-34a, and miR-181a) were measured via quantitative reverse transcription PCR. The diagnostic value of miRNAs was determined by the receiver operating characteristic (ROC) curve. The bioinformatics analysis was utilized to predict the DEMs genes and relevant bio-functions. Results: The COVID-19 patients admitted to the ICU had significantly greater levels of selected miRNAs compared to non-hospitalized COVID-19 and healthy people. Besides, the mean miR-28 and miR-34a expression levels in the diabetic-COVID-19 group were upregulated considerably when compared with the non-diabetic COVID-19 group. ROC analyses demonstrated the role of miR-28, -miR-34a, and -181a as new biomarkers to discriminate the non-hospitalized COVID-19 group from the COVID-19 patients admitted to ICU samples, and also miR-34a can probably act as a useful biomarker for screening diabetic COVID-19 patients. Using bioinformatics analyses, we found the performance of target transcripts in many bio-processes and diverse metabolic routes such as regulating multiple inflammatory parameters. Discussion: The difference in miRNA expression patterns between the studied groups suggested that miR-28, miR-34a, and miR181a could be helpful as potent biomarkers for diagnosing and controlling COVID-19.
DOI: 10.5281/zenodo.7554501
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Sweden

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included. Reporting authorities contributing to 2021 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre
description: SE; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554502
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Sweden

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included. Reporting authorities contributing to 2021 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre
description: SE; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554508
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Portugal

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Instituto Nacional de Investigação Agrária e Veterinária
description: PT; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554507
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Portugal

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Instituto Nacional de Investigação Agrária e Veterinária
description: PT; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554599
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Poland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included. Reporting authorities contributing to 2021 AMR data collection: National Veterinary Research Institute
description: PL; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554600
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Poland

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included. Reporting authorities contributing to 2021 AMR data collection: National Veterinary Research Institute
description: PL; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7660133
title: 2021aggregated dataset submitted on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021

description: Data provided by the Member States on the 2021 on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7660134
title: 2021aggregated dataset submitted on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021

description: Data provided by the Member States on the 2021 on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7564954
title: Spekboom (Portulacaria afra) UAV imagery and reference data (raw)

description: This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics (RGB, n =32) of Spekboom (Portulacaria afra) acquired between 2020-21 in South Africa. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 1 cm. The orthomosaics are partially labelled (polygon shapefiles) in terms of Spekboom cover. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI Spekboom canopies are assumed to be completely delineated (by visual interpretation). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication:<br> Galuszynski, N. C., Duker, R., Potts, A. J., & Kattenborn, T. (2022). Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery. <em>PeerJ</em>, <em>10</em>, e14219. https://doi.org/10.7717/peerj.14219 https://peerj.com/articles/14219/
DOI: 10.5281/zenodo.7564953
title: Spekboom (Portulacaria afra) UAV imagery and reference data (raw)

description: This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics (RGB, n =32) of Spekboom (Portulacaria afra) acquired between 2020-21 in South Africa. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 1 cm. The orthomosaics are partially labelled (polygon shapefiles) in terms of Spekboom cover. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI Spekboom canopies are assumed to be completely delineated (by visual interpretation). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication:<br> Galuszynski, N. C., Duker, R., Potts, A. J., & Kattenborn, T. (2022). Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery. <em>PeerJ</em>, <em>10</em>, e14219. https://doi.org/10.7717/peerj.14219 https://peerj.com/articles/14219/
DOI: 10.5281/zenodo.7636225
title: 2021 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021

description: Data provided by the Member States on the 2021 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7636224
title: 2021 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021

description: Data provided by the Member States on the 2021 MRSA Prevalence - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021.
description: EU; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554603
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – The Netherlands

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Netherlands Food and Consumer Product Safety Authority
description: NL; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554604
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – The Netherlands

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Netherlands Food and Consumer Product Safety Authority
description: NL; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554494
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Slovenia

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Ministry for Agriculture, Forestry and Food
description: SI; xlsx; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7554495
title: Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Slovenia

description: This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included. Reporting authorities contributing to 2021 AMR data collection: Ministry for Agriculture, Forestry and Food
description: SI; xlsx; zoonoses_support@efsa.europa.eu