cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4115429
title: Supplementary material (ebp data set): Egeler, G.-A., von Rickenbach, F., & Baur, P. (2020). Menüwahl in der Hochschulmensa: Design & Durchführung Feldexperiment (NOVANIMAL Kurzbericht). ZHAW. https://doi.org/10.21256/zhaw-1408

description: Calculation of the nutrient balance score of 93 meals served on the fieldexperiment in the NOVANIMAL Project: According two different methods: EBP and Teller Modell. Results of the fieldexperiment see here: Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405
DOI: 10.5281/zenodo.4115428
title: Supplementary material (ebp data set): Egeler, G.-A., von Rickenbach, F., & Baur, P. (2020). Menüwahl in der Hochschulmensa: Design & Durchführung Feldexperiment (NOVANIMAL Kurzbericht). ZHAW. https://doi.org/10.21256/zhaw-1408

description: Calculation of the nutrient balance score of 93 meals served on the fieldexperiment in the NOVANIMAL Project: According two different methods: EBP and Teller Modell. Results of the fieldexperiment see here: Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405
DOI: 10.6084/m9.figshare.13186766
title: Supplemental materials

description: Supplemental materials contain five figures in pdf formats (Supplemental Figures S1-S5), nine tables in xlsx formats (Supplemental Tables S1-S9) and four sequences files (Supplemental Seq S1-S4) in nexus formats.
DOI: 10.5281/zenodo.4243883
title: A Pan-cancer Transcriptome Promoter Expression Dataset

description: The unfiltered promoter measurements for all promoters as seen in:<br> Demircioğlu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters. <em>Cell</em>, 178(6) 1465-1477. Generated with: <em>proActiv</em>: estimate promoter activity using RNA-Seq data The proActiv R package is available on https://github.com/GoekeLab/proActiv Gene and promoter annotations used are provided.
description: {"references": ["Demircio\u011flu et al. (2019). A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.\u00a0Cell, 178(6) 1465-1477."]}
DOI: 10.5281/zenodo.4243126
title: Kumpulan Komentar Akun Instagram Media Dakwah

description: Dataset kumpulan komentar pada akun Instagram media dakwah dengan kriteria akun sebagai berikut: - memiliki lebih dari 100 pengikut - memiliki lebih dari 5 konten berupa gambar ataupun video dengan kolom komentar yang aktif
DOI: 10.5281/zenodo.4243125
title: Kumpulan Komentar Akun Instagram Media Dakwah

description: Dataset kumpulan komentar pada akun Instagram media dakwah dengan kriteria akun sebagai berikut: - memiliki lebih dari 100 pengikut - memiliki lebih dari 5 konten berupa gambar ataupun video dengan kolom komentar yang aktif
DOI: 10.5517/ccdc.csd.cc1z5d9v
title: CCDC 1822437: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Denisenko, Pavel Garbuz, Svetlana V. Shishkina, Nataliya M. Voloshchuk, Pavel K. Mykhailiuk|2020|Angew.Chem.,Int.Ed.|59|20515|doi:10.1002/anie.202004183
DOI: 10.5517/ccdc.csd.cc1z5dbw
title: CCDC 1822438: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Denisenko, Pavel Garbuz, Svetlana V. Shishkina, Nataliya M. Voloshchuk, Pavel K. Mykhailiuk|2020|Angew.Chem.,Int.Ed.|59|20515|doi:10.1002/anie.202004183
DOI: 10.5517/ccdc.csd.cc1z5dcx
title: CCDC 1822439: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Denisenko, Pavel Garbuz, Svetlana V. Shishkina, Nataliya M. Voloshchuk, Pavel K. Mykhailiuk|2020|Angew.Chem.,Int.Ed.|59|20515|doi:10.1002/anie.202004183
DOI: 10.5517/ccdc.csd.cc1zzkq7
title: CCDC 1846630: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Denisenko, Pavel Garbuz, Svetlana V. Shishkina, Nataliya M. Voloshchuk, Pavel K. Mykhailiuk|2020|Angew.Chem.,Int.Ed.|59|20515|doi:10.1002/anie.202004183
DOI: 10.5517/ccdc.csd.cc1zzkr8
title: CCDC 1846631: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Denisenko, Pavel Garbuz, Svetlana V. Shishkina, Nataliya M. Voloshchuk, Pavel K. Mykhailiuk|2020|Angew.Chem.,Int.Ed.|59|20515|doi:10.1002/anie.202004183
DOI: 10.6084/m9.figshare.13142528
title: Ressources for "Combining species distribution models and population genomics underlines the determinants of range limitation in an emerging parasite"

description: Datasets and scripts underlying the study entitled “Combining species distribution models and population genomics underlines the determinants of range limitation in an emerging parasite", doi: 10.1111/ecog.05301. For more details about dataset and script contents please refer to the read me file.
DOI: 10.6084/m9.figshare.13142528.v1
title: Ressources for "Combining species distribution models and population genomics underlines the determinants of range limitation in an emerging parasite"

description: Datasets and scripts underlying the study entitled “Combining species distribution models and population genomics underlines the determinants of range limitation in an emerging parasite", doi: 10.1111/ecog.05301. For more details about dataset and script contents please refer to the read me file.
DOI: 10.6084/m9.figshare.13186796
title: Supplementary Material for: Prognostic Value of Serum Magnesium in Mortality Risk among Patients on Hemodialysis: A Meta-Analysis of Observational Studies

description: <b><i>Background:</i></b> Previous studies have reported that serum magnesium (Mg) deficiency is involved in the development of heart failure, particularly in patients with end-stage kidney disease. The association between serum Mg levels and mortality risk in patients receiving hemodialysis is controversial. We aimed to estimate the prognostic value of serum Mg concentration on all-cause mortality and cardiovascular mortality in patients receiving hemodialysis. <b><i>Methods:</i></b> We did a systematic literature search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify eligible studies that reported the prognostic value of serum Mg levels in mortality risk among patients on hemodialysis. We performed a meta-analysis by pooling and analyzing hazard ratios (HRs) and 95% confidence intervals (CIs). <b><i>Results:</i></b> We identified 13 observational studies with an overall sample of 42,967 hemodialysis patients. Higher all-cause mortality (adjusted HR 1.58 [95% CI: 1.31–1.91]) and higher cardiovascular mortality (adjusted HR 3.08 [95% CI: 1.27–7.50]) were found in patients with lower serum Mg levels after multivariable adjustment. There was marked heterogeneity (<i>I</i><sup>2</sup> = 79.6%, <i>p</i> &lt; 0.001) that was partly explained by differences in age stratification and study area. In addition, subgroup analysis showed that a serum Mg concentration of ≤1.1 mmol/L might be the vigilant cutoff value. <b><i>Conclusion:</i></b> A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.
DOI: 10.5523/bris.1873owc1bcmrw1y4raeeuygzuy
title: Data from "Strategies for solving the Fermi-Hubbard model on near-term quantum computers" (v2)

description: Data corresponding to the results from the paper "Strategies for solving the Fermi-Hubbard model on near-term quantum computers" by Chris Cade, Lana Mineh, Ashley Montanaro, and Stasja Stanisic. Version 2.
DOI: 10.6084/m9.figshare.13182038
title: Supplementary Table S2.1.

description: Associated patient data, molecular typing and antibiotic susceptibility data of all viable Neisseria gonorrhoeae isolates collected from 2003 up to 2018 in Portugal on behalf of the PTGonoNET.MSM – Men who have sex with men; MSMW – Men who have sex with men and women; NUT – Nomenclature of Territorial Units for Statistics; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Typing; ND – Not determined; PEN – Benzylpenicillin; β-lact – β-lactamase; CRO – Ceftriaxone; CIP – Ciprofloxacin; SPT – Spectinomycin; TET – Tetracycline; CFM – Cefixime; GEN – Gentamicin; AZM – Azithromycin; No MIC – Antibiotic susceptibility was tested by the Breakpoint Method; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *refers to the reporting Laboratory region. **according to Boiko et al., APMIS. 2019;127(7):503–509 and Brown et al., Sex Transm Dis. 2010;37(3):169-72.
DOI: 10.15468/33c5cb
title: Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXV. Description of Pandinurus awalei sp. n. and the male of Pandiborellius somalilandus (Kovařík, 2012), with remarks on recent synonymies (Scorpionidae: Pandininae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kovařík, František, Lowe, Graeme, Elmi, Hassan Sh Abdirahman (2020): Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXV. Description of Pandinurus awalei sp. n. and the male of Pandiborellius somalilandus (Kovařík, 2012), with remarks on recent synonymies (Scorpionidae: Pandininae). Euscorpius - Occasional Publications in Scorpiology 322: 1-21, DOI: http://doi.org/10.5281/zenodo.4243903
DOI: 10.5255/ukda-sn-854430
title: Food shopping in later life in Nottingham and Nottinghamshire 2014 - 2016

description: This research focused on food shopping in later life in urban, suburban and village settings in Nottingham and Nottinghamshire. It comprises of 2 focus groups and 25 semi structured interviews from 2014 and 2015 and 475 self-completion questionnaires from 2016. These methods were used to ascertain the value placed on food shopping as distinct from other forms of shopping. Of interest to the researchers was the role food shopping (specifically) played: beyond the buying of provisions to include a/the social dimension and its role in expressing, for example, independence and choice(s). As part of the work, a range of contextual and individual factors are included to support associated findings and insights. The overall project aims were: to understand the value of food shopping; to identify any issues and problems for older people and shopping; to share insights in order to improve, where possible, the situation and experience of those in later life when food shopping. The underpinning research questions were: what is the role and value of food shopping in later life? Does food shopping play a wider role (for example, is there a social element to food shopping in later life)? Can food shopping support individuals in later life in maintaining, for example, independence? Are there factors that constraint the food shopping habits and behaviour of those in later life and, if so, can these be overcome?
DOI: 10.5525/gla.researchdata.1048
title: Distemper, extinction and vaccination of the Amur tiger
DOI: 10.6084/m9.figshare.13182050
title: Supplementary Table S3.1.

description: Metadata, genome assembly statistics and antibiotic resistance phenotype and genotype data of the Portuguese Neisseria gonorrhoeae isolates enrolled in the present study. NA – Not applicable; ND – Not determined; P/A – Presence/Absence; MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampicin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; SUL – Sulphonamides; rXXX – Resistant to; dXXX – Decreased susceptibility to; AMR – antimicrobial resistance; MLST – Multi-locus Sequence Type; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Type; NG-STAR – Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance; cgMLST – core-genome Multi-locus Sequence Typing; ENA – European Nucleotide Archive; NUT – Nomenclature of Territorial Units for Statistics; No MIC – Antibiotic susceptibility was tested by the Breakpoint Method; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).
DOI: 10.6084/m9.figshare.13182050.v1
title: Supplementary Table S3.1.

description: Metadata, genome assembly statistics and antibiotic resistance phenotype and genotype data of the Portuguese Neisseria gonorrhoeae isolates enrolled in the present study. NA – Not applicable; ND – Not determined; P/A – Presence/Absence; MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampicin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; SUL – Sulphonamides; rXXX – Resistant to; dXXX – Decreased susceptibility to; AMR – antimicrobial resistance; MLST – Multi-locus Sequence Type; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Type; NG-STAR – Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance; cgMLST – core-genome Multi-locus Sequence Typing; ENA – European Nucleotide Archive; NUT – Nomenclature of Territorial Units for Statistics; No MIC – Antibiotic susceptibility was tested by the Breakpoint Method; MIC – Minimum inhibitory concentration; RP – Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).
DOI: 10.5525/gla.researchdata.1033
title: Elasticity Spectra as a Tool to Investigate Actin Cortex Mechanics
DOI: 10.6084/m9.figshare.13182068
title: Supplementary Table S3.2.

description: Metadata, genome assembly statistics and antibiotic resistance genotype data of the publicly available European Neisseria gonorrhoeae isolates enrolled in the present study. NA – Not applicable; ND – Not determined; P/A – Presence/Absence; AZM – Azithromycin; CIP – Ciprofloxacin; PEN – Penicillin; RI – Rifampicin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; SUL – Sulphonamides; rXXX – Resistant to; dXXX – Decreased susceptibility to; AMR – antimicrobial resistance; MLST – Multi-locus Sequence Type; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Type; NG-STAR – Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance; cgMLST – core-genome Multi-locus Sequence Typing; ENA – European Nucleotide Archive.
DOI: 10.6084/m9.figshare.13182071
title: Supplementary Table S3.3.

description: List of loci removed from the PubMLST Neisseria gonorrhoeae cgMLST v1 scheme, after preparation for chewBBACA.
DOI: 10.6084/m9.figshare.13182071.v1
title: Supplementary Table S3.3.

description: List of loci removed from the PubMLST Neisseria gonorrhoeae cgMLST v1 scheme, after preparation for chewBBACA.
DOI: 10.6084/m9.figshare.13182074
title: Supplementary Table S3.4.

description: List of loci enrolled in the Maximum Shared cgMLST scheme used for clustering analysis.
DOI: 10.6084/m9.figshare.13182074.v1
title: Supplementary Table S3.4.

description: List of loci enrolled in the Maximum Shared cgMLST scheme used for clustering analysis.
DOI: 10.6084/m9.figshare.13182080
title: Supplementary Table S4.1.

description: Neisseria gonorrhoeae pan-genome composition based on 3971 genomes. *Representative loci are based on the Prokka v1.12 software annotation. Genes were defined as core-genes when present in ≥ 99% of all genomes (i.e., ≥ 3754 genomes), as accessory genes when present in &gt; 2 genomes and as singleton genes when present in a single genome. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software.
DOI: 10.6084/m9.figshare.13182080.v1
title: Supplementary Table S4.1.

description: Neisseria gonorrhoeae pan-genome composition based on 3971 genomes. *Representative loci are based on the Prokka v1.12 software annotation. Genes were defined as core-genes when present in ≥ 99% of all genomes (i.e., ≥ 3754 genomes), as accessory genes when present in &gt; 2 genomes and as singleton genes when present in a single genome. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software.
DOI: 10.6084/m9.figshare.13182110.v1
title: Supplementary Table S4.2.

description: Accessory genes associated with (A) high- and (B) low-level WGS-based genogroups, presenting simultaneously more than 80% sensitivity and specificity. Data was generated using Scoary v1.6.16 software. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software. Functional category description: C – Energy production and conversion; D – Cell cycle control, cell division, chromosome partitioning; E – Amino acid transport and metabolism; G – Carbohydrate transport and metabolism; H – Coenzyme transport and metabolism; I – Lipid transport and metabolism; J – Translation, ribosomal structure and biogenesis; K – Transcription; L – Replication, recombination and repair; M – Cell wall, membrane, envelope biogenesis; N – Cell motility; O – Posttranslational modification, protein turnover, chaperones; P – Inorganic ion transport and metabolism; Q – Secondary metabolites biosynthesis, transport and catabolism; R – General function prediction only; S – Function unknown; T – Signal transduction mechanisms; U – Intracellular trafficking, secretion, and vesicular transport; V – Defence mechanisms.
DOI: 10.6084/m9.figshare.13182110
title: Supplementary Table S4.2.

description: Accessory genes associated with (A) high- and (B) low-level WGS-based genogroups, presenting simultaneously more than 80% sensitivity and specificity. Data was generated using Scoary v1.6.16 software. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software. Functional category description: C – Energy production and conversion; D – Cell cycle control, cell division, chromosome partitioning; E – Amino acid transport and metabolism; G – Carbohydrate transport and metabolism; H – Coenzyme transport and metabolism; I – Lipid transport and metabolism; J – Translation, ribosomal structure and biogenesis; K – Transcription; L – Replication, recombination and repair; M – Cell wall, membrane, envelope biogenesis; N – Cell motility; O – Posttranslational modification, protein turnover, chaperones; P – Inorganic ion transport and metabolism; Q – Secondary metabolites biosynthesis, transport and catabolism; R – General function prediction only; S – Function unknown; T – Signal transduction mechanisms; U – Intracellular trafficking, secretion, and vesicular transport; V – Defence mechanisms.
DOI: 10.6084/m9.figshare.13182116
title: Supplementary Table S4.3.

description: Distribution of accessory genes presenting simultaneously more than 80% sensitivity and specificity by (A) high- and (B) low-level WGS-genogroups. *Gene order refers to the order by which genes appear in Figure 4.3. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software. Functional category description: C – Energy production and conversion; D – Cell cycle control, cell division, chromosome partitioning; E – Amino acid transport and metabolism; G – Carbohydrate transport and metabolism; H – Coenzyme transport and metabolism; I – Lipid transport and metabolism; J – Translation, ribosomal structure and biogenesis; K – Transcription; L – Replication, recombination and repair; M – Cell wall, membrane, envelope biogenesis; N – Cell motility; O – Posttranslational modification, protein turnover, chaperones; P – Inorganic ion transport and metabolism; Q – Secondary metabolites biosynthesis, transport and catabolism; R – General function prediction only; S – Function unknown; T – Signal transduction mechanisms; U – Intracellular trafficking, secretion, and vesicular transport; V – Defence mechanisms.
DOI: 10.6084/m9.figshare.13182116.v1
title: Supplementary Table S4.3.

description: Distribution of accessory genes presenting simultaneously more than 80% sensitivity and specificity by (A) high- and (B) low-level WGS-genogroups. *Gene order refers to the order by which genes appear in Figure 4.3. Gene/gene group ID refer to the one attributed during gene clustering by the Roary v3.13.0 software. Functional category description: C – Energy production and conversion; D – Cell cycle control, cell division, chromosome partitioning; E – Amino acid transport and metabolism; G – Carbohydrate transport and metabolism; H – Coenzyme transport and metabolism; I – Lipid transport and metabolism; J – Translation, ribosomal structure and biogenesis; K – Transcription; L – Replication, recombination and repair; M – Cell wall, membrane, envelope biogenesis; N – Cell motility; O – Posttranslational modification, protein turnover, chaperones; P – Inorganic ion transport and metabolism; Q – Secondary metabolites biosynthesis, transport and catabolism; R – General function prediction only; S – Function unknown; T – Signal transduction mechanisms; U – Intracellular trafficking, secretion, and vesicular transport; V – Defence mechanisms.
DOI: 10.6084/m9.figshare.13182119
title: Supplementary Table S6.1.

description: Metadata, genome assembly statistics and antibiotic resistance phenotype and genotype data of the novel sequenced Portuguese Neisseria gonorrhoeae isolates enrolled in the present study. NA - Not applicable; ND - Not determined; P/A - Presence/Absence; MSM – Men who have sex with men; MSMW – Men who have sex with men and women; AZM – Azithromycin; CIP – Ciprofloxacin; CFM – Cefixime; CRO – Ceftriaxone; PEN – Penicillin; RI – Rifampin; SPT – Spectinomycin; TET – Tetracycline; CEF – cephalosporins; GEN – Gentamicin; β-LACT – β-lactamase; SUL – Sulfonamides; rXXX – Resistant to; dXXX – Decreased susceptibility to; AMR – antimicrobial resistance; MLST – Multi-locus Sequence Type; NG-MAST – Neisseria gonorrhoeae Multi-Antigen Sequence Type; cgMLST – core-genome Multi-locus Sequence Typing; ENA – European Nucleotide Archive; NUT – Nomenclature of Territorial Units for Statistics; MIC - Minimum inhibitory concentration; RP - Resistance phenotype. *For this study, if the patient’s region of residence was not available, the geographic region of the reporting laboratory was attributed to the isolate. **Due to the lack of an established breakpoint, gentamicin susceptibility was classified for analysis purposes based on interpretive results from previous studies: as susceptible when MIC ≤ 4, and resistant when MIC &gt; 16 mg/L, according to Boiko et al., 2019; APMIS, 127(7):503-509 (doi:10.1111/apm.12948) and Brown et al., 2010; Sex Transm Dis., 37(3):169-172 (doi:10.1097/OLQ.0b013e3181bf575c).