cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10055883
title: Daily market capitalization values of four stablecoins (USDT, USTC, DAI, FRAX)

description: Data source provider Gecko Labs Pte. Ltd., 101 Upper Cross Street, #05-16 People's Park Centre, Singapore 058357.
DOI: 10.5281/zenodo.10055953
title: Required data to regenerate simulated metagenomes and reproduce KO-identification results in these simulated metagenomes
DOI: 10.5281/zenodo.8180341
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWLNETS (v2.0.0 - January 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.0.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Inverse Relations-OWLNETS</em> <strong>Build Date: </strong><code>January 25, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10055993
title: FATORES ASSOCIADOS À UMA BOA CONDUTA EM EMERGÊNCIAS CARDIOLÓGICAS

description: Introdução: Os manejos executados em pacientes que apresentam emergências cardiológicas são muito importantes para o desfecho e prognóstico. Para isso, é importante a implantação de protocolos de transferência e transporte para agilizar o atendimento, além do início rápido e uma conduta adequada, que são os pilares para uma boa recuperação do indivíduo. Objetivo: Compreender como se dá a incidência e as melhores escolhas e condutas no manejo de pacientes em emergências cardiológicas. Metodologia: O presente estudo trata- se de um artigo de revisão bibliográfica relacionada à emergência cardíaca, realizado entre junho e setembro de 2023, foram selecionados 13 artigos, no qual a revisão dos artigos foi realizada na base de dados SciELO e Sciencedirect, Journal of the American College of Cardiology. Definiu-se os seguintes critérios de seleção: textos completos, livros, análise e revisões sistemáticas, entre os anos de 2002 e 2022, no idioma português e inglês. Resultados:As descrições referentes a sintomatologia das emergências cardíacas são descritas como dores de origem torácica com característica de queimação, fraqueza, dispneia, síncope ou até mesmo desmaio. Além de muitas queixas referentes a sintomas que indicam doenças isquêmicas do coração, paradas cardiorrespiratórias e acidentes vasculares cerebrais. É importante ressaltar que as estatísticas comprovam que uma comunidade devidamente treinada aumenta em 50% as chances de sobrevivência das vítimas de acidentes cardiovasculares. Conclusões: Conclui-se, dentre as doenças que mais incidem, as principais são: Arritmias cardíacas, doenças isquêmicas do coração, acidentes vasculares cerebrais e paradas cardiorrespiratórias.
DOI: 10.5281/zenodo.8180551
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.0.0 - February 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.0.0</code>)</strong> <strong>Build Type: </strong><em>Class-Inverse Relations-OWL</em> <strong>Build Date: </strong><code>February 11, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8180565
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v2.0.0 - February 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.0.0</code>)</strong> <strong>Build Type: </strong><em>Class-Standard Relations-OWLNETS</em> <strong>Build Date: </strong><code>February 11, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056047
title: Dark Matter Annihilation and Pair Instability Supernovae

description: Reproduction package for the paper "Dark Matter Annihilation and Pair Instability Supernovae".
DOI: 10.5281/zenodo.8180559
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.0.0 - February 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.0.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWL</em> <strong>Build Date: </strong><code>February 11, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10055994
title: FATORES ASSOCIADOS À UMA BOA CONDUTA EM EMERGÊNCIAS CARDIOLÓGICAS

description: Introdução: Os manejos executados em pacientes que apresentam emergências cardiológicas são muito importantes para o desfecho e prognóstico. Para isso, é importante a implantação de protocolos de transferência e transporte para agilizar o atendimento, além do início rápido e uma conduta adequada, que são os pilares para uma boa recuperação do indivíduo. Objetivo: Compreender como se dá a incidência e as melhores escolhas e condutas no manejo de pacientes em emergências cardiológicas. Metodologia: O presente estudo trata- se de um artigo de revisão bibliográfica relacionada à emergência cardíaca, realizado entre junho e setembro de 2023, foram selecionados 13 artigos, no qual a revisão dos artigos foi realizada na base de dados SciELO e Sciencedirect, Journal of the American College of Cardiology. Definiu-se os seguintes critérios de seleção: textos completos, livros, análise e revisões sistemáticas, entre os anos de 2002 e 2022, no idioma português e inglês. Resultados:As descrições referentes a sintomatologia das emergências cardíacas são descritas como dores de origem torácica com característica de queimação, fraqueza, dispneia, síncope ou até mesmo desmaio. Além de muitas queixas referentes a sintomas que indicam doenças isquêmicas do coração, paradas cardiorrespiratórias e acidentes vasculares cerebrais. É importante ressaltar que as estatísticas comprovam que uma comunidade devidamente treinada aumenta em 50% as chances de sobrevivência das vítimas de acidentes cardiovasculares. Conclusões: Conclui-se, dentre as doenças que mais incidem, as principais são: Arritmias cardíacas, doenças isquêmicas do coração, acidentes vasculares cerebrais e paradas cardiorrespiratórias.
DOI: 10.5281/zenodo.8180775
title: PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWL (v2.1.0 - May 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Class-Standard Relations-OWL</em> <strong>Build Date: </strong><code>May 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8180759
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWL (v2.1.0 - May 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Inverse Relations-OWL</em> <strong>Build Date: </strong><code>May 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8180763
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v2.1.0 - May 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWLNETS</em> <strong>Build Date: </strong><code>May 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8180765
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.1.0 - May 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWL</em> <strong>Build Date: </strong><code>May 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5517/ccdc.csd.cc2d6j05
title: CCDC 2210796: Experimental Crystal Structure Determination

description: Related Article: Jian Luan|2023|CSD Communication|||
description: Related Article: Xiao-Sa Zhang, Jia-Liang Cui, Yu Liu, Wen-Ze Li, Yan Liu, Hong Xiang, Jian Luan|2023|Mol. Syst. Des. Eng.|8|1388|doi:10.1039/D3ME00047H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d6j16
title: CCDC 2210797: Experimental Crystal Structure Determination

description: Related Article: Jian Luan|2023|CSD Communication|||
description: Related Article: Xiao-Sa Zhang, Jia-Liang Cui, Yu Liu, Wen-Ze Li, Yan Liu, Hong Xiang, Jian Luan|2023|Mol. Syst. Des. Eng.|8|1388|doi:10.1039/D3ME00047H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g7721
title: CCDC 2271062: Experimental Crystal Structure Determination

description: Related Article: Xiao-Sa Zhang, Jia-Liang Cui, Yu Liu, Wen-Ze Li, Yan Liu, Hong Xiang, Jian Luan|2023|Mol. Syst. Des. Eng.|8|1388|doi:10.1039/D3ME00047H
description: Related Article: Jian Luan|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g7v5r
title: CCDC 2271654: Experimental Crystal Structure Determination

description: Related Article: Javed R. Pathan, Subhrajyoti Bhandary, Kana M. Sureshan|2023|J.Am.Chem.Soc.|145|22633|doi:10.1021/jacs.3c07767
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g7v6s
title: CCDC 2271655: Experimental Crystal Structure Determination

description: Related Article: Javed R. Pathan, Subhrajyoti Bhandary, Kana M. Sureshan|2023|J.Am.Chem.Soc.|145|22633|doi:10.1021/jacs.3c07767
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gk8y8
title: CCDC 2280730: Experimental Crystal Structure Determination

description: Related Article: Joon Young Hwang, Sang Hyeok Lee, Yuri Kim, Minju Jin, Kyungtae Kang, Eun Joo Kang|2023|Org.Lett.|25|7359|doi:10.1021/acs.orglett.3c02812
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gkmth
title: CCDC 2281067: Experimental Crystal Structure Determination

description: Related Article: Joon Young Hwang, Sang Hyeok Lee, Yuri Kim, Minju Jin, Kyungtae Kang, Eun Joo Kang|2023|Org.Lett.|25|7359|doi:10.1021/acs.orglett.3c02812
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gkmvj
title: CCDC 2281068: Experimental Crystal Structure Determination

description: Related Article: Joon Young Hwang, Sang Hyeok Lee, Yuri Kim, Minju Jin, Kyungtae Kang, Eun Joo Kang|2023|Org.Lett.|25|7359|doi:10.1021/acs.orglett.3c02812
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gksmg
title: CCDC 2281216: Experimental Crystal Structure Determination

description: Related Article: Gayyur, Shivani Choudhary, Ruchir Kant, Nayan Ghosh|2023|Org.Lett.|25|7400|doi:10.1021/acs.orglett.3c02899
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gm217
title: CCDC 2282438: Experimental Crystal Structure Determination

description: Related Article: Yu-Song Ran, Bo Jiang, Yun-Tao Shen, Tai-Gang Fan, Wei Jiang, Cui Zhang, Ya-Min Li|2023|Org.Lett.|25|7412|doi:10.1021/acs.orglett.3c02938
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.22003/xfel.eu-data-004239-00
title: Nonlinear phononics studied by time-resolved X-ray diffraction
DOI: 10.22003/xfel.eu-data-006096-00
title: Fluorescence based short pulse diagnostic at SPB/SFX
DOI: 10.13012/b2idb-4013912_v1
title: Data for Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems

description: This dataset includes supporting data for our article 'Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems'. The dataset contains carbon fluxes and SOC benefits from cover crops at six cover crop experiment sites in Illinois with three rotation systems: (1) without-cover-crop (maize-soybean rotations), (2) non-legume-preceding-maize (maize-annual ryegrass-soybean-annual ryegrass rotations), and (3) legume-preceding-maize (maize-cereal rye-soybean-hairy vetch rotations). <b>*NOTE:</b> there should be 13 files + 1 readme file, instead of 15 files as mentioned in readme.
DOI: 10.6084/m9.figshare.24463627
title: Metric scores used in <b>Multi-scale V-net architecture with deep feature CRF layers for brain extraction</b>

description: Park et al. investigate adding major improvements to a base segmentation model to increase robustness and go beyond the provided ground truth segmentation. Results indicate an overall improvement in the metrics and provide further discussion towards improving brain extraction models. This is the data that were used in creating the table and the plots.
DOI: 10.5519/qd.tzjcgwk7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5713849 records)
DOI: 10.6084/m9.figshare.23736828
title: Epigenetic clocks in Wichí and Criollos

description: The "MethylationData_Wichi&Criollos.csv" dataset includes the DNA methylation values of a subset of CpGs sites used to calculate the epigenetic estimators according to Horvath calculator. The "SamplesData_Wichi&Criollos.csv" dataset contains information about the population, sex, age and the diagnosis of Chagas disease for the 48 individuals included in this study.
DOI: 10.6084/m9.figshare.23736828.v1
title: Epigenetic clocks in Wichí and Criollos

description: The "MethylationData_Wichi&Criollos.csv" dataset includes the DNA methylation values of a subset of CpGs sites used to calculate the epigenetic estimators according to Horvath calculator. The "SamplesData_Wichi&Criollos.csv" dataset contains information about the population, sex, age and the diagnosis of Chagas disease for the 48 individuals included in this study.
DOI: 10.5281/zenodo.10052520
title: NLDAS-2 Sacramento (SAC) Post-processed Daily-mean Soil Moisture Data

description: This dataset contains North American Land Data Assimilation System Version 2 (NLDAS-2) Sacramento (SAC) post-processed daily-mean soil moisture data from 1993 to 2017 at four layers: 0-10 cm, 10-40 cm, 40-100 cm, and 0-100 cm. Original post-processing of the hourly data was conducted at National Oceanic and Atmospheric Administration (NOAA) by Dr. Youlong Xia and then later provided to the NOAA Physical Sciences Laboratory (PSL).   Daily-mean data were generated at PSL from the hourly data by averaging data from 8 times each day (0,3,6,9,12,15,18,21 Z).  The data are written in netCDF format and provided in annual netCDF files.