Suchergebnisse - "Datasets as Topic/statistics & numerical data"
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1
Autoren: et al.
Schlagwörter: openEO, Agri-foodstuff, Air, Data Display/statistics & numerical data, Data networks, Data Science, Big Data, Needs Assessment, Environmental assessment, Technology assessment, Ecosystem assessment, Sectoral assessment, Ecological assessment, Impact assessment, Copernicus Data Space Ecosystem (CDSE), Datasets as Topic/statistics & numerical data, Copernicus Sentinel satellites, Food Safety, Food Security, Food Security/standards, Food Security/legislation & jurisprudence, Food Security/statistics & numerical data
Relation: https://zenodo.org/records/15795608; oai:zenodo.org:15795608; https://doi.org/10.5281/zenodo.15795608
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Autoren: et al.
Quelle: Nature Medicine, vol 27, iss 3
Nature MedicineSchlagwörter: Male, 0301 basic medicine, Coronaviruses, Cathepsin L, Respiratory System, Datasets as Topic, 32 Biomedical and Clinical Sciences, Lung/metabolism, Organ Specificity/genetics, 80 and over, 2.1 Biological and endogenous factors, Lung, COVID-19/epidemiology, Aged, 80 and over, QH3011 Biochemistry / biokémia, anzsrc-for: 42 Health sciences, Serine Endopeptidases, 3 Good Health and Well Being, General Medicine, Middle Aged, Host-Pathogen Interactions/genetics, 3. Good health, Angiotensin-Converting Enzyme 2/genetics, Infectious Diseases, Datasets as Topic/statistics & numerical data, Respiratory System/metabolism, Cathepsin L/genetics, Organ Specificity, Host-Pathogen Interactions, Respiratory, NHLBI LungMap Consortium, Female, Angiotensin-Converting Enzyme 2, Single-Cell Analysis, RNA/methods, Sequence Analysis, Adult, 1.1 Normal biological development and functioning, Alveolar Epithelial Cells/metabolism, Immunology, Genetics and Molecular Biology, Serine Endopeptidases/genetics, QR355 Virology / víruskutatás, 03 medical and health sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, Genetics, Humans, Gene Expression Profiling/statistics & numerical data, Transcriptomics, Aged, Demography, Human Cell Atlas Lung Biological Network, SARS-CoV-2, Sequence Analysis, RNA, Gene Expression Profiling, Single-Cell Analysis/methods, COVID-19, Virus Internalization, Computational biology and bioinformatics, Emerging Infectious Diseases, anzsrc-for: 11 Medical and Health Sciences, Viral infection, Alveolar Epithelial Cells, General Biochemistry, RNA, SARS-CoV-2/physiology
Dateibeschreibung: application/pdf; text
Zugangs-URL: https://www.nature.com/articles/s41591-020-01227-z.pdf
https://pubmed.ncbi.nlm.nih.gov/33654293
https://hdl.handle.net/11370/ca4badb5-f4af-442e-94b7-7d69f61ddab6
https://research.rug.nl/en/publications/ca4badb5-f4af-442e-94b7-7d69f61ddab6
https://doi.org/10.1038/s41591-020-01227-z
https://europepmc.org/article/MED/33654293
https://www.nature.com/articles/s41591-020-01227-z
https://www.nature.com/articles/s41591-020-01227-z.pdf
https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1319033
https://edoc.mdc-berlin.de/20065/
https://www.scilit.net/article/8d8a0e428ae5cdd4951357980846c950?action=show-references
https://discovery-pp.ucl.ac.uk/id/eprint/10133418/
https://escholarship.org/content/qt9896w6b5/qt9896w6b5.pdf
https://escholarship.org/uc/item/9896w6b5
https://publications.scilifelab.se/publication/54d66ea8cbd441738be55f5928034c3e -
3
Autoren: et al.
Schlagwörter: Female, Humans, Male, Brain/diagnostic imaging, Brain/physiology, Data Analysis, Data Science/methods, Data Science/standards, Datasets as Topic/statistics & numerical data, Functional Neuroimaging, Logistic Models, Magnetic Resonance Imaging, Meta-Analysis as Topic, Models, Neurological, Reproducibility of Results, Research Personnel/organization & administration, Research Personnel/standards, Software
Relation: Nature; https://iris.unil.ch/handle/iris/219460; serval:BIB_7E653B5D475C; 000535225300001
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Autoren: pantony, stephen charles
Schlagwörter: P vs NP, Computational Complexity, 3-SAT, Phase Transitions, Statistical mechanics, information geometry, computational physics, Monte Carlo Method, Stochastic Processes, complexity theory, NP-complete, Datasets as Topic, Datasets as Topic/statistics & numerical data, source code, Jupyter Notebook, Python
Relation: https://zenodo.org/records/16868352; oai:zenodo.org:16868352; https://doi.org/10.5281/zenodo.16868352
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Autoren:
Schlagwörter: Demography, Family studies, Living arrangements, World, Datasets as Topic/statistics & numerical data
Relation: https://zenodo.org/records/15655910; oai:zenodo.org:15655910; https://doi.org/10.5281/zenodo.15655910
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Autoren: et al.
Schlagwörter: Datasets as Topic/statistics & numerical data, Machine learning, Unsupervised Machine Learning, Molecular Dynamics Simulation
Relation: arXiv:2407.08094; https://zenodo.org/records/15002318; oai:zenodo.org:15002318; https://doi.org/10.5281/zenodo.15002318
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Sound, Sound Recordings, Deep Learning, Deep Learning/statistics & numerical data, AudioSet, Python, PyTorch, Datasets as Topic/statistics & numerical data
Relation: https://github.com/StefanoGiacomelli/audioset-tools/tree/main; https://zenodo.org/records/14882314; oai:zenodo.org:14882314; https://doi.org/10.5281/zenodo.14882314
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Autoren: et al.
Schlagwörter: Open Science, Mapping Study, Systematic Reviews as Topic/methods, Datasets as Topic/statistics & numerical data
Relation: https://zenodo.org/communities/maposr/; https://zenodo.org/records/10534344; oai:zenodo.org:10534344; https://doi.org/10.5281/zenodo.10534344
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Autoren: et al.
Schlagwörter: Supernova, Datasets as Topic/statistics & numerical data
Relation: arXiv:2408.15086; https://zenodo.org/records/14711673; oai:zenodo.org:14711673; https://doi.org/10.48550/arXiv.2408.15086
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Autoren: et al.
Schlagwörter: Spinal Cord Injuries, Datasets as Topic/statistics & numerical data, Neurological Rehabilitation/statistics & numerical data, Fatigue/physiopathology, Heart Rate Determination, Body Temperature Changes, Paraplegia
Relation: https://zenodo.org/records/15365515; oai:zenodo.org:15365515; https://doi.org/10.5281/zenodo.15365515
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Acta Oncologica. 58:232-236
Schlagwörter: Adult, Male, Time Factors, Datasets as Topic, Radiotherapy, Image-Guided/methods, Radiotherapy Setup Errors, Magnetic Resonance Imaging/methods, Motion, 03 medical and health sciences, 0302 clinical medicine, motion, Journal Article, Humans, Tumor Burden/physiology, Radiotherapy Planning, Computer-Assisted/methods, Aged, Rectal Neoplasms, Radiotherapy Planning, Computer-Assisted, Middle Aged, Magnetic Resonance Imaging, Tumor Burden, 3. Good health, Datasets as Topic/statistics & numerical data, Rectal Neoplasms/epidemiology, Female, Radiotherapy, Adjuvant, Dose Fractionation, Radiation, Radiotherapy Setup Errors/statistics & numerical data, Follow-Up Studies, Radiotherapy, Image-Guided
Dateibeschreibung: image/pdf
Zugangs-URL: https://www.tandfonline.com/doi/pdf/10.1080/0284186X.2018.1532598?needAccess=true&
https://pubmed.ncbi.nlm.nih.gov/30444161
https://pubmed.ncbi.nlm.nih.gov/30444161/
https://europepmc.org/abstract/MED/30444161
http://dspace.library.uu.nl/handle/1874/388420
https://www.narcis.nl/publication/RecordID/oai%3Adspace.library.uu.nl%3A1874%2F388420
https://www.ncbi.nlm.nih.gov/pubmed/30444161
https://www.tandfonline.com/doi/full/10.1080/0284186X.2018.1532598
https://dspace.library.uu.nl/handle/1874/388420
https://biblio.vub.ac.be/vubir/mribased-tumor-interfraction-motion-statistics -for-rectal-cancer-boost-radiotherapy(5becb7d6-2c9e-4dc1-a74b-5fb24a407303).html -
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Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Data Analysis, Male, Functional Neuroimaging, Research Support, Non-U.S. Gov't, Models, Neurological, Reproducibility of Results, Brain/diagnostic imaging, Magnetic Resonance Imaging, Multicenter Study, Logistic Models, Datasets as Topic/statistics & numerical data, Meta-Analysis as Topic, Research Support, N.I.H., Extramural, Data Science/methods, Journal Article, Humans, Female, Research Personnel/organization & administration, General, Software, Research Support, U.S. Gov't, Non-P.H.S, Meta-Analysis
Dateibeschreibung: application/pdf
Zugangs-URL: https://dspace.library.uu.nl/handle/1874/444207
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Autoren: et al.
Quelle: Alzheimer's and dementia 12(8), 872-881 (2016). doi:10.1016/j.jalz.2016.01.006
Schlagwörter: info:eu-repo/classification/ddc/610, Aged, 80 and over, Alzheimer Disease: cerebrospinal fluid, Alzheimer Disease: diagnosis, Amyloid beta-Peptides: cerebrospinal fluid, Apolipoproteins E: genetics, Cognitive Dysfunction: cerebrospinal fluid, Cognitive Dysfunction: complications, Cognitive Dysfunction: genetics, Cohort Studies, Datasets as Topic: statistics & numerical data, Endophenotypes: cerebrospinal fluid, Female, Humans, Male, Mental Status Schedule, Middle Aged, Multifactorial Inheritance: genetics, Neuropsychological Tests, Odds Ratio, Polymorphism, Single Nucleotide: genetics, Statistics, Nonparametric, Amyloid beta-Peptides, Apolipoproteins E
Geographisches Schlagwort: DE
Relation: info:eu-repo/semantics/altIdentifier/issn/1552-5279; info:eu-repo/semantics/altIdentifier/issn/1552-5260; info:eu-repo/semantics/altIdentifier/pmid/pmid:26921674; https://pub.dzne.de/record/138696
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Autoren: et al.
Quelle: NHLBI LungMap Consortium, Human Cell Atlas Lung Biological Network, Muus, C, Luecken, M D, Eraslan, G, Sikkema, L, Waghray, A, Heimberg, G, Kobayashi, Y, Vaishnav, E D, Subramanian, A, Smillie, C, Jagadeesh, K A, Duong, E T, Fiskin, E, Triglia, E T, Ansari, M, Cai, P, Lin, B, Buchanan, J, Chen, S, Shu, J, Haber, A L, Chung, H, Montoro, D T, Adams, T, Aliee, H, Allon, S J, Andrusivova, Z, Angelidis, I, Ashenberg, O, Bassler, K, Bécavin, C, Benhar, I, Bergenstråhle, J, Bergenstråhle, L, Bolt, L, Braun, E, Bui, L T, Callori, S, Chaffin, M, Chichelnitskiy, E, Chiou, J, Conlon, T M, Cuoco, M S, Cuomo, A S E, Deprez, M, Duclos, G, Fine, D, Fischer, D S, Hu, Y & Qi, C 2021, 'Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics', Nature Medicine, vol. 27, no. 3, pp. 546-559.
Index Begriffe: Adult, Aged, Aged, 80 and over, Alveolar Epithelial Cells/metabolism, Angiotensin-Converting Enzyme 2/genetics, COVID-19/epidemiology, Cathepsin L/genetics, Datasets as Topic/statistics & numerical data, Demography, Female, Gene Expression Profiling/statistics & numerical data, Host-Pathogen Interactions/genetics, Humans, Lung/metabolism, Male, Middle Aged, Organ Specificity/genetics, Respiratory System/metabolism, SARS-CoV-2/physiology, Sequence Analysis, RNA/methods, Serine Endopeptidases/genetics, Single-Cell Analysis/methods, Virus Internalization, article
URL:
https://research.rug.nl/en/publications/ca4badb5-f4af-442e-94b7-7d69f61ddab6 https://doi.org/10.1038/s41591-020-01227-z https://hdl.handle.net/11370/ca4badb5-f4af-442e-94b7-7d69f61ddab6 https://pure.rug.nl/ws/files/175266528/Single_cell_meta_analysis_of_SARS_CoV_2_entry_genes_across_tissues_and_demographics.pdf https://www.scopus.com/pages/publications/85102367125
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41591-020-01227-z
info:eu-repo/semantics/altIdentifier/pmid/33654293
info:eu-repo/semantics/altIdentifier/wos/000624452300001
info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/11370/ca4badb5-f4af-442e-94b7-7d69f61ddab6
info:eu-repo/semantics/altIdentifier/pissn/1078-8956 -
15
Autoren: et al.
Quelle: Nature vol.582 (2020) nr.7810 p.84-88 [ISSN 0028-0836]
Index Begriffe: Brain/diagnostic imaging, Data Analysis, Data Science/methods, Datasets as Topic/statistics & numerical data, Female, Functional Neuroimaging, Humans, Logistic Models, Magnetic Resonance Imaging, Male, Meta-Analysis as Topic, Models, Neurological, Reproducibility of Results, Research Personnel/organization & administration, Software, Artikel, Article
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