cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8193210
title: Alliance of Genome Resources Gene Descriptions

description: Tab separated formatted spreadsheets of automated gene descriptions from the Alliance of Genome Resources. Gene descriptions are generated by an algorithm developed by the Alliance that uses highly structured gene data such as associations to various ontology terms (e.g., Gene Ontology terms) and the Alliance strict orthology set. The original set of ontology terms that a gene is annotated to may have been trimmed to an ancestor term in the ontology in order to balance readability with the amount of information in the description. File includes annotations for the following organisms: Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355) Xenopus tropicalis (Western clawed frog; NCBI:txid 8364)
description: NIH U24HG010859
DOI: 10.5281/zenodo.8193209
title: Alliance of Genome Resources Gene Descriptions

description: Tab separated formatted spreadsheets of automated gene descriptions from the Alliance of Genome Resources. Gene descriptions are generated by an algorithm developed by the Alliance that uses highly structured gene data such as associations to various ontology terms (e.g., Gene Ontology terms) and the Alliance strict orthology set. The original set of ontology terms that a gene is annotated to may have been trimmed to an ancestor term in the ontology in order to balance readability with the amount of information in the description. File includes annotations for the following organisms: Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355) Xenopus tropicalis (Western clawed frog; NCBI:txid 8364)
description: NIH U24HG010859
DOI: 10.6084/m9.figshare.23815725
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.6084/m9.figshare.23815725.v1
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.6084/m9.figshare.23815731
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.6084/m9.figshare.23815731.v1
title: Supplementary Material for: Medication status and related factors in essential tremor patients: a cross-sectional study in China

description: Abstract Introduction: Essential Tremor (ET) is one of the most common movement disorders. Oral drugs play a crucial role in treating ET, with various available options such as propranolol, primidone and topiramate. However, the medication status and related factors among Chinese ET patients are unknown yet. Methods: This study used the baseline data from the National Survey of Essential Tremor Plus in China cohort. ET patients with information related to medication intake were included. Medication patients was defined as patients who were taking medication at the time of the survey. We further defined recommended medication users according to Chinese guideline recommendations and clinical knowledge. We used mean and standard deviation (SD), median and interquartile range (IQR), or frequencies and percentages when appropriate for descriptive analysis. We used multivariate logistic regression analyses to explore factors related to medication intake in all ET patients, and in recommended medication users respectively. Results: Of 1153 included ET participants, 207 (18.0%) took medication. Arotinolol (115, 55.6%) and propranolol (63, 30.4%) were the top 2 used medicines. Patients with middle school education (odds ratio 0.57, 95% confidence interval 0.39 to 0.83), college or higher level education (0.46, 0.28 to 0.76) and late onset ET (LO-ET) (0.38, 0.23 to 0.63) were less likely to take medication. Patients with intention tremor (1.90, 1.38 to 2.62), every 10-unit increase in age (1.10, 1.00 to 1.21), Tremor Research Group Essential Tremor Rating Assessment Scale (TETRAS) Part 1 (1.63, 1.37 to 1.93), and TETRAS Part 2 (1.81, 1.48 to 2.22) were more likely to take medication. Among 332 recommended medication users, only 104 (31.3%) took medicine. The associations of LO-ET (0.36, 0.17 to 0.75), intention tremor (2.27, 1.35 to 3.81), TETRAS Part1 (1.52, 1.09 to 2.13) and TETRAS Part 2 (1.59, 1.15 to 2.20) with medication were similar to all ET patients. Conclusion: The proportion of medication intake is low among both all ET patients and recommended medication users. The top two commonly used medications among all ET patients are arotinolol and propranolol. Influencing factors of medication intake are different between all ET patients and recommended medication users. Clinicians are suggested to provide counseling and education on ET medication to promote medication intake.
DOI: 10.5281/zenodo.8204631
title: Alliance of Genome Resources Molecular Interactions

description: This file provides a set of annotations of molecular interactions for genes and gene products for human, rat, mouse, zebrafish, fruit fly, nematode, yeast, African and Western clawed frogs, and SARS-CoV-2. The file is in the PSI-MI TAB 2.7 format, a tab-delimited format established by the HUPO Proteomics Standards Initiative Molecular Interactions (PSI-MI) working group. The interaction data is sourced from Alliance members WormBase and FlyBase, as well as the IMEx consortium and the BioGRID database. The file contains molecular interaction annotations for the following organisms: Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355) Xenopus tropicalis (Western clawed frog; NCBI:txid 8364) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; NCBI:txid2697049)
description: NIH U24HG010859
DOI: 10.5281/zenodo.8204630
title: Alliance of Genome Resources Molecular Interactions

description: This file provides a set of annotations of molecular interactions for genes and gene products for human, rat, mouse, zebrafish, fruit fly, nematode, yeast, African and Western clawed frogs, and SARS-CoV-2. The file is in the PSI-MI TAB 2.7 format, a tab-delimited format established by the HUPO Proteomics Standards Initiative Molecular Interactions (PSI-MI) working group. The interaction data is sourced from Alliance members WormBase and FlyBase, as well as the IMEx consortium and the BioGRID database. The file contains molecular interaction annotations for the following organisms: Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355) Xenopus tropicalis (Western clawed frog; NCBI:txid 8364) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; NCBI:txid2697049)
description: NIH U24HG010859
DOI: 10.34740/kaggle/dsv/6230890
title: 2021 World Population (updated daily)
DOI: 10.25403/upresearchdata.22120427
title: Effect of Er- and Yb doping on structure, optical and electrical properties ZnO thin films

description: This dataset shows the effect of rare-earth (Er and Yb) doping and co-doping of ZnO thin films deposited using a sol-gel spin coating technique, as well as the temperature dependence of the electrical properties of the Schottky diodes based on these films that were investigated. The data consist of results of XRD, Raman spectroscopy, UV-Vis spectroscopy, I-V & C-V measurements, DLTS and Laplace-DLTS measurements for undoped, Er-doped, Yb-doped and (Er, Yb) co-doped ZnO thin films.
DOI: 10.25403/upresearchdata.22120427.v1
title: Effect of Er- and Yb doping on structure, optical and electrical properties ZnO thin films

description: This dataset shows the effect of rare-earth (Er and Yb) doping and co-doping of ZnO thin films deposited using a sol-gel spin coating technique, as well as the temperature dependence of the electrical properties of the Schottky diodes based on these films that were investigated. The data consist of results of XRD, Raman spectroscopy, UV-Vis spectroscopy, I-V & C-V measurements, DLTS and Laplace-DLTS measurements for undoped, Er-doped, Yb-doped and (Er, Yb) co-doped ZnO thin films.
DOI: 10.34740/kaggle/dsv/6230891
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8204815
title: Supplementary methods and tables - Chapter 4

description: Supplementary methods and tables - Chapter 4
DOI: 10.5281/zenodo.8204814
title: Supplementary methods and tables - Chapter 4

description: Supplementary methods and tables - Chapter 4
DOI: 10.5281/zenodo.8204761
title: Alliance of Genome Resources Genetic Interactions

description: These files provide a set of annotations of genetic interactions for genes for human, rat, mouse, zebrafish, fruit fly, nematode, African clawed frog,and yeast). The files are in the PSI-MI TAB 2.7 format, a tab-delimited format established by the HUPO Proteomics Standards Initiative Molecular Interactions (PSI-MI) working group. The interaction data are sourced from Alliance members WormBase and FlyBase, as well as the BioGRID database. Identities or types of genetic perturbations for each interactor (if available) are provided in columns 26 and 27 and relevant phenotypes or traits (if available) are provided in column 28. Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355)
DOI: 10.5281/zenodo.8204760
title: Alliance of Genome Resources Genetic Interactions

description: These files provide a set of annotations of genetic interactions for genes for human, rat, mouse, zebrafish, fruit fly, nematode, African clawed frog,and yeast). The files are in the PSI-MI TAB 2.7 format, a tab-delimited format established by the HUPO Proteomics Standards Initiative Molecular Interactions (PSI-MI) working group. The interaction data are sourced from Alliance members WormBase and FlyBase, as well as the BioGRID database. Identities or types of genetic perturbations for each interactor (if available) are provided in columns 26 and 27 and relevant phenotypes or traits (if available) are provided in column 28. Homo sapiens (human; NCBI:txid 9606) Caenorhabditis elegans (nematode; NCBI:txid 6239) Danio rerio (zebrafish;NCBI:txid 7955) Drosophila melanogaster (fruit fly; NCBI:txid 7227) Mus musculus (mouse; NCBI:txid10090) Rattus norvegicus (rat; NCBI:txid 10116) Saccharomyces cerevisiae (yeast; NCBI:txid 559292) Xenopus laevis (African clawed frog; NCBI:txid 8355)
DOI: 10.26050/wdcc/ar6.c6spcasff
title: IPCC DDC: CAS FGOALS-f3-L model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CAS.FGOALS-f3-L' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FGOALS-f3-L climate model, released in 2017, includes the following components: atmos: FAMIL2.2 (Cubed-sphere, c96; 360 x 180 longitude/latitude; 32 levels; top level 2.16 hPa), land: CLM4.0, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6spcasfgos460
title: IPCC DDC: CAS FGOALS-g3 model output prepared for CMIP6 ScenarioMIP ssp460

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CAS.FGOALS-g3.ssp460' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FGOALS-g3 climate model, released in 2017, includes the following components: atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.