cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22624406.v1
title: Additional file 2 of Comprehensive molecular characterization of complete mitogenome assemblies of 33 Eimeria isolates infecting domestic chickens

description: Additional file 2: Table S2. Summary of the chicken Eimeria mitogenomic information included in this study.
DOI: 10.6084/m9.figshare.22624429.v1
title: Additional file 5 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 5: Table S1. The specific primers for qRT-PCR.
DOI: 10.6084/m9.figshare.16862797
title: Additional file 10 of Surfaceome CRISPR screen identifies OLFML3 as a rhinovirus-inducible IFN antagonist

description: Additional file 10. CB2 analysis of surfaceome screen after RV challenge.
DOI: 10.6084/m9.figshare.22624351
title: Additional file 2 of Genome-wide identification and expression analysis of wall-associated kinase (WAK) and WAK-like kinase gene family in response to tomato yellow leaf curl virus infection in Nicotiana benthamiana

description: Additional file 2: Table S2. Cis-acting elements in the promoter regions of NbWAK/WAKL genes.
DOI: 10.6084/m9.figshare.22624435
title: Additional file 7 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 7: Table S3. Clustering of proteins in the uterine luminal fluid-Evs.
DOI: 10.6084/m9.figshare.22624357.v1
title: Additional file 4 of Genome-wide identification and expression analysis of wall-associated kinase (WAK) and WAK-like kinase gene family in response to tomato yellow leaf curl virus infection in Nicotiana benthamiana

description: Additional file 4: Table S4. List of primers used in this study.
DOI: 10.6084/m9.figshare.16862836.v1
title: Additional file 8 of Surfaceome CRISPR screen identifies OLFML3 as a rhinovirus-inducible IFN antagonist

description: Additional file 8. MAGeCK analysis of surfaceome screen after RV challenge.
DOI: 10.5281/zenodo.8345014
title: SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

description: <strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) as they all use the same document collection. <strong>[**UPDATE 2023-09-14**]</strong> This repository includes the <strong>Train Set for the three subtasks</strong>, a<strong> SNOMED symptoms, signs and findings gazetteer </strong>and the<strong> Multilingual Silver Standard </strong>in 9 languages. Please read the README file attached for more information on folder structure and file format. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. <strong>Related Links:</strong> - SympTEMIST website: https://temu.bsc.es/symptemist - SympTEMIST annotation guidelines: https://doi.org/10.5281/zenodo.8246439 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;) <strong>Additional resources</strong> If you are interested in SympTEMIST, you might want to check out these corpora and resources that use the same text documents: DisTEMIST (diseases) MedProcNER/ProcTEMIST (clinical procedures) PharmaCoNER (chemicals and proteins)
DOI: 10.6084/m9.figshare.22624447.v1
title: Additional file 11 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 11: Table S7. GO enrichment and KEGG pathway analysis of differentially abundant proteins in PTR cells treated with ULF-Evs.
DOI: 10.5281/zenodo.8223654
title: SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

description: <strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) as they all use the same document collection. This repository includes the <strong>Train Set of the task's Named Entity Recognition subtask</strong>, which includes a total of 750 documents. Training data for the other two subtasks (entity linking and multilingual) will be released later on. The annotated files are provided in two different formats, each separated in a different folder. The text files are also offered individually. On the one hand, .ann files in brat's standoff format are provided (For more information on brat's format please visit: https://brat.nlplab.org/standoff.html). On the other, a .tsv file is included where each line represents an annotation. The .tsv file has the following columns: <strong>- "filename":</strong> document name <strong>- "ann_id":</strong> identifier mention mark <strong>- "label":</strong> mention type (always SINTOMA) <strong>- "start_span":</strong> starting position of the mention in the document in characters <strong>- "end_span":</strong> ending position of the mention in the document in characters <strong>- "text":</strong> annotated string SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. <strong>Related Links:</strong> - SympTEMIST website: https://temu.bsc.es/symptemist <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;) <strong>Additional resources</strong> If you are interested in SympTEMIST, you might want to check out these corpora and resources that use the same text documents: DisTEMIST (diseases) MedProcNER/ProcTEMIST (clinical procedures) PharmaCoNER (chemicals and proteins)
DOI: 10.5281/zenodo.8358431
title: SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

description: <strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST corpus (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) as they all use the same document collection. <strong>[**UPDATE 2023-09-14**]</strong> This repository includes the <strong>Train Set for the three subtasks</strong>, a<strong> SNOMED symptoms, signs and findings gazetteer </strong>and the<strong> Multilingual Silver Standard </strong>in 9 languages. Please read the README file attached for more information on folder structure and file format. <strong>[**UPDATE 2023-09-19**]</strong> We've uploaded a new version of the training data for subtask 2 and the gazetteer which fixed some small errors. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. <strong>Related Links:</strong> - SympTEMIST website: https://temu.bsc.es/symptemist - SympTEMIST annotation guidelines: https://doi.org/10.5281/zenodo.8246439 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;) <strong>Additional resources</strong> If you are interested in SympTEMIST, you might want to check out these corpora and resources that use the same text documents: DisTEMIST (diseases) MedProcNER/ProcTEMIST (clinical procedures) PharmaCoNER (chemicals and proteins)
DOI: 10.6084/m9.figshare.14766210.v1
title: MIR210HG regulates glycolysis, cell proliferation, and metastasis of pancreatic cancer cells through miR-125b-5p/HK2/PKM2 axis

description: Pancreatic cancer has the worst prognosis of all common cancers. Pancreatic cancer cells have a metabolic advantage due to their swiftly adaptive responses to hypoxic and low-nutrient medium. This advantage contributes to the aggressivity of pancreatic cancer. In this study, lncRNA MIR210HG was abnormally upregulated within pancreatic cancer. It acted as a key oncogenic regulator of pancreatic cancer aggressiveness and glycolysis. Knockdown of MIR210HG significantly inhibited the aggressive phenotype of pancreatic cancer cells and inhibited the growth of xenograft tumours. More importantly, MIR210HG knockdown inhibited pancreatic cancer cell glycolysis via regulating the glycolysis-related hexokinase 2 (HK2) and Pyruvate kinase muscle isozyme M2 (PKM2) expression. Compared with the MIR210HG knockdown group, miR-125b-5p inhibition promoted the aggressive phenotypes and glycolysis of pancreatic cancer cells. Furthermore, the effects of MIR210HG knockdown on HK2 and PKM2 expression, pancreatic cancer cell aggressive phenotypes, and glycolysis were significantly reversed by miR-125b-5p inhibition. In tissue samples, MIR210HG expression was negatively correlated with miR-125b-5p levels and positively correlated with HK2 and PKM2 expression. miR-125b-5p expression was negatively correlated with HK2 and PKM2 expression. In conclusion, MIR210HG affected the phenotypes of pancreatic cancer cells, including proliferation, invasion, migration, and glycolysis, via modulating the miR-125b-5p/HK2/PKM2 axis.
DOI: 10.6084/m9.figshare.16862797.v1
title: Additional file 10 of Surfaceome CRISPR screen identifies OLFML3 as a rhinovirus-inducible IFN antagonist

description: Additional file 10. CB2 analysis of surfaceome screen after RV challenge.
DOI: 10.6084/m9.figshare.16862839
title: Additional file 9 of Surfaceome CRISPR screen identifies OLFML3 as a rhinovirus-inducible IFN antagonist

description: Additional file 9. CB2 analysis of genome-wide screen after RV challenge.
DOI: 10.5281/zenodo.8388807
title: SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

description: <strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) corpora as they all use the same document collection. <strong>[**UPDATE 2023-09-29**]</strong> This repository includes the <strong>Train Set for the three subtasks</strong>, a<strong> SNOMED symptoms, signs and findings gazetteer </strong>and the<strong> Multilingual Silver Standard </strong>in 9 languages. Additionally, the test set texts for Subtask 1 are also included. Please read the README file attached for more information on folder structure and file format. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. <strong>Related Links:</strong> - SympTEMIST website: https://temu.bsc.es/symptemist - SympTEMIST annotation guidelines: https://doi.org/10.5281/zenodo.8246439 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;) <strong>Additional resources</strong> If you are interested in SympTEMIST, you might want to check out these corpora and resources that use the same text documents: DisTEMIST (diseases) MedProcNER/ProcTEMIST (clinical procedures) PharmaCoNER (chemicals and proteins)
DOI: 10.5281/zenodo.8405816
title: SympTEMIST Corpus: Gold Standard annotations for clinical symptoms, signs and findings information extraction

description: <strong>SympTEMIST</strong> stands for Symptoms TExt MIning Shared Task. It is a shared task and set of resources focused on the detection, normalization and indexing of symptoms, signs and findings in medical documents in Spanish. SympTEMIST is complementary to the DisTEMIST (https://temu.bsc.es/distemist) and MedProcNER/ProcTEMIST (https://temu.bsc.es/medprocner) corpora as they all use the same document collection. <strong>[**UPDATE 2023-09-29**]</strong> This repository includes the <strong>Train Set for the three subtasks</strong>, a<strong> SNOMED symptoms, signs and findings gazetteer </strong>and the<strong> Multilingual Silver Standard </strong>in 9 languages. Additionally, the test set texts for Subtask 1 are also included. Please read the README file attached for more information on folder structure and file format. <strong>[**UPDATE 2023-10-04**]</strong> We have included a background set of over 15,000 clinical cases for the Spanish Silver Standard. SympTEMIST was developed by the Barcelona Supercomputing Center's NLP for Biomedical Information Analysis and used as part of BioCREATIVE 2023. For more information on the corpus, annotation scheme and task in general, please visit: https://temu.bsc.es/symptemist. <strong>Related Links:</strong> - SympTEMIST website: https://temu.bsc.es/symptemist - SympTEMIST annotation guidelines: https://doi.org/10.5281/zenodo.8246439 <strong>License</strong> This work is licensed under a Creative Commons Attribution 4.0 International License. <strong>Contact</strong> If you have any questions or suggestions, please contact us at: - Salvador Lima-López (&lt;salvador [dot] limalopez [at] gmail [dot] com&gt;)<br> - Martin Krallinger (&lt;krallinger [dot] martin [at] gmail [dot] com&gt;) <strong>Additional resources</strong> If you are interested in SympTEMIST, you might want to check out these corpora and resources that use the same text documents: DisTEMIST (diseases) MedProcNER/ProcTEMIST (clinical procedures) PharmaCoNER (chemicals and proteins)
DOI: 10.2908/isoc_bde15b_e
title: Accès à large bande et connectivité - entreprises, par classe de taille d’entreprise
title: Breitband und Konnektivität - Unternehmen, nach Unternehmensgrößenklassen
title: Broadband and connectivity - enterprises by size class of enterprise
DOI: 10.2908/migr_asyctz
title: Demandeurs d'asile par nationalité - données annuelles (jusqu'en 2007)
title: Asylbewerber nach Staatsangehörigkeit - jährliche Daten (bis 2007)
title: Asylum applicants by citizenship - annual data (until 2007)
DOI: 10.2908/isoc_bde15dec
title: E-Commerce, CRM-Softwarelösungen und sichere Datenübertragung, nach Unternehmensgrößenklassen
title: Commerce électronique, logiciels de gestion de la relation clientèle et transactions sécurisées, par classe de taille d’entreprise
title: E-commerce, customer relation management (CRM) and secure transactions by size class of enterprise
DOI: 10.2908/migr_asyctzm
title: First time asylum applicants by citizenship - monthly data (until December 2007)
title: Primo-demandeurs d'asile par nationalité - données mensuelles (jusqu'en décembre 2007)
title: Erstmalige Asylbewerber nach Staatsangehörigkeit - monatliche Daten (bis Dezember 2007)
DOI: 10.2908/migr_asydcfsta
title: Décisions de première instance sur les demandes d'asile par type de décision, nationalité, âge et sexe - données annuelles agrégées
title: Erstinstanzliche Entscheidungen über Asylanträge nach Art der Entscheidung, Staatsangehörigkeit, Alter und Geschlecht - jährliche aggregierte Daten
title: First instance decisions on applications by type of decision, citizenship, age and sex - annual aggregated data
DOI: 10.2908/migr_asydcfstq
title: First instance decisions on applications by type of decision, citizenship, age and sex - quarterly data
title: Erstinstanzliche Entscheidungen über Asylanträge nach Art der Entscheidung, Staatsangehörigkeit, Alter und Geschlecht - vierteljährliche Daten
title: Décisions de première instance sur les demandes d'asile par type de décision, nationalité, âge et sexe - données trimestrielles
DOI: 10.2908/migr_asywitfsta
title: Aberkennungen und Entzug von erstinstanzlich gewährtem Status, nach gewährtem Status, Staatsangehörigkeit und Begründung - jährliche aggregierte Daten
title: Decisions withdrawing status granted at first instance decision by type of status withdrawn, citizenship and reason - annual aggregated data
title: Retraits du statut conféré en première instance par type de statut retiré, nationalité et raison - données annuelles agrégées
DOI: 10.2908/migr_asywitfstq
title: Aberkennungen und Entzug von erstinstanzlich gewährtem Status, nach gewährtem Status, Staatsangehörigkeit und Begründung - vierteljährliche Daten
title: Retraits du statut conféré en première instance par type de statut retiré, nationalité et raison - données trimestrielles
title: Decisions withdrawing status granted at first instance decision by type of status withdrawn, citizenship and reason - quarterly data
DOI: 10.6084/m9.figshare.22624438
title: Additional file 8 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 8: Table S4. GO enrichment and KEGG pathway analysis of proteins in clusters 1 and 2.
DOI: 10.6084/m9.figshare.22624441.v1
title: Additional file 9 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 9: Table S5. Protein-protein interaction in clusters 1 and 2.
DOI: 10.2908/isoc_cimobi_rux
title: Reasons for not using mobile internet
title: Raisons pour ne pas utiliser l'internet mobile
title: Gründe warum mobiles Internet nicht genutzt wird
DOI: 10.2908/isoc_ec_ibhv
title: Consumers' behaviour related to online purchases (2016)
title: Comportement des consommateurs en rapport avec des achats en ligne (2016)
title: Verhalten von Konsumenten bei Online Käufen (2016)
DOI: 10.6084/m9.figshare.22624441
title: Additional file 9 of Uterine luminal-derived extracellular vesicles: potential nanomaterials to improve embryo implantation

description: Additional file 9: Table S5. Protein-protein interaction in clusters 1 and 2.
DOI: 10.6084/m9.figshare.11626758
title: MOESM3 of Folic acid ameliorates depression-like behaviour in a rat model of chronic unpredictable mild stress

description: Additional file 3. Data for Fig.Â 4. The levels of monoamine neurotransmitter in serum and brains of CUMS rats in different group during the experiment. Serum 5-HT (A), DA (B) and NE (C) were detected on 6th and 12th weeks.
DOI: 10.6084/m9.figshare.11626758.v1
title: MOESM3 of Folic acid ameliorates depression-like behaviour in a rat model of chronic unpredictable mild stress

description: Additional file 3. Data for Fig.Â 4. The levels of monoamine neurotransmitter in serum and brains of CUMS rats in different group during the experiment. Serum 5-HT (A), DA (B) and NE (C) were detected on 6th and 12th weeks.
DOI: 10.6084/m9.figshare.11626761
title: MOESM4 of Folic acid ameliorates depression-like behaviour in a rat model of chronic unpredictable mild stress

description: Additional file 4. Data for Fig. 5. The levels of IL-6, BDNF and β-EP in serum and brains of CUMS rats in different group during the experiment.
DOI: 10.6084/m9.figshare.12144630
title: Additional file 4 of Capsulized faecal microbiota transplantation ameliorates post-weaning diarrhoea by modulating the gut microbiota in piglets

description: Additional file 4. The diarrhoea score of each piglet. Stool consistency (0, normal; 1, pasty; 2, semiliquid; and 3, liquid) was reported daily; pigs showing scores of 2 or 3 were considered to have diarrhoea; d1-21 represent experimental days; CON, control group; FMT, faecal microbial transplantation group.
DOI: 10.6084/m9.figshare.11626761.v1
title: MOESM4 of Folic acid ameliorates depression-like behaviour in a rat model of chronic unpredictable mild stress

description: Additional file 4. Data for Fig. 5. The levels of IL-6, BDNF and β-EP in serum and brains of CUMS rats in different group during the experiment.
DOI: 10.6084/m9.figshare.22624354.v1
title: Additional file 3 of Genome-wide identification and expression analysis of wall-associated kinase (WAK) and WAK-like kinase gene family in response to tomato yellow leaf curl virus infection in Nicotiana benthamiana

description: Additional file 3: Table S3. Tissue expression profiles of NbWAK/WAKL genes.
DOI: 10.6084/m9.figshare.12144492.v1
title: Additional file 1 of Accuracy of a reverse dot blot hybridization assay for simultaneous detection of the resistance of four anti-tuberculosis drugs in Mycobacterium tuberculosis isolated from China

description: Additional file 1: Supplemental Table 1 Interpretations of the RDBH assay, the phenotypic resistance and sequencing results for 41 Mycobacterium tuberculosis in Fig. 1.
DOI: 10.6084/m9.figshare.11626770
title: MOESM2 of Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study

description: Additional file 2. The basic characters of summary data used in this study. Details of instrumental invariables selected for each traits.
DOI: 10.6084/m9.figshare.11626770.v1
title: MOESM2 of Exploring the causal pathway from ischemic stroke to atrial fibrillation: a network Mendelian randomization study

description: Additional file 2. The basic characters of summary data used in this study. Details of instrumental invariables selected for each traits.
DOI: 10.6084/m9.figshare.12144630.v1
title: Additional file 4 of Capsulized faecal microbiota transplantation ameliorates post-weaning diarrhoea by modulating the gut microbiota in piglets

description: Additional file 4. The diarrhoea score of each piglet. Stool consistency (0, normal; 1, pasty; 2, semiliquid; and 3, liquid) was reported daily; pigs showing scores of 2 or 3 were considered to have diarrhoea; d1-21 represent experimental days; CON, control group; FMT, faecal microbial transplantation group.
DOI: 10.6084/m9.figshare.7956764.v1
title: MOESM4 of Comprehensive analysis of miRNA profiles reveals the role of Schistosoma japonicum miRNAs at different developmental stages

description: Additional file 4. Candidate miRNAs mature sequences, star sequences, precursor sequences.
DOI: 10.6084/m9.figshare.16869687
title: material list with energy

description: a material list that includes the material IDs along with the energy above hull of each structure to assist users to screen the data in their chemical-property space of interest.
DOI: 10.6084/m9.figshare.16869687.v1
title: material list with energy

description: a material list that includes the material IDs along with the energy above hull of each structure to assist users to screen the data in their chemical-property space of interest.
DOI: 10.5281/zenodo.10635745
title: aaUNSFA

description: Dataset for network UNSFA-1 in project UNSFA
description: Network reference: