cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7540395
title: Immersive haptic simulation for training nurses in emergency medical procedures - Data collected and statistical analysis

description: Data collected during the evaluation presented in "Haptic simulation for emergency procedures in nursing training" paper. HR ALL Measure 1 Measure 2 t df p Mann pre HR - Mann post HR 2.857 29 0.008 VR pre HR - VR post HR -8.089 29 &lt; .001 Mann pre HR - VR pre HR 7.567 29 &lt; .001 Mann post HR - VR post HR -2.962 29 0.006 <em>Note.</em> Paired samples student's t-test. HR FIRST MANN Measure 1 Measure 2 t df p Mann pre HR - Mann post HR 1.665 14 0.118 VR pre HR - VR post HR -7.104 14 &lt; .001 Mann pre HR - VR pre HR 6.498 14 &lt; .001 Mann post HR - VR post HR -1.461 14 0.166 <em>Note.</em> Paired samples student's t-test. HR FIRST VR Measure 1 Measure 2 t df p Mann pre HR - Mann post HR 2.341 14 0.035 VR pre HR - VR post HR -4.612 14 &lt; .001 Mann pre HR - VR pre HR 4.482 14 &lt; .001 Mann post HR - VR post HR -2.688 14 0.018 <em>Note.</em> Paired samples student's t-test. HR BETWEEN GROUPS t df p Mann pre HR -1.958 28 0.060 Mann post HR -1.902 28 0.068 VR pre HR -4.013 28 &lt; .001 VR post HR -2.344 28 0.026 <em>Note.</em> Independent samples student's t-test. Physiological T-Test results for the participants who started the experiment performing the procedure in the mannequin. First variable μ σ Second variable μ σ t df p SBP pre-mannequin 128.333 10.715 SBP pre-simulator 134.533 11.819 -1.870 14 0.083 SBP post-mannequin 125.600 11.648 SBP post-simulator 131.467 14.643 -2.094 14 0.055 DBP pre-mannequin 80.133 5.527 DBP pre-simulator 81.533 9.039 -0.623 14 0.544 DBP post-mannequin 78.667 6.956 DBP post-simulator 81.400 8.475 -2.073 14 0.057 HR pre-mannequin 92.133 14.837 HR pre-simulator 75.733 9.9625 6.498 29 &lt; .001 HR post-mannequin 87.400 9.132 HR post-simulator 91.400 14.217 -1.461 29 0.166 SBP = Systolic blood pressure. DBP = Diastolic blood pressure. HR = Heart Rate. Physiological T-Test results for the participants who started the experiment performing the procedure in the ParaVR simulator. First variable μ σ Second variable μ σ t df p SBP pre-mannequin 119.067 12.898 SBP pre-simulator 130.600 12.188 -3.799 14 0.002 SBP post-mannequin 117.533 13.410 SBP post-simulator 128.200 13.385 -4.022 14 0.001 DBP pre-mannequin 76.533 8.943 DBP pre-simulator 80.200 6.899 -1.815 14 0.091 DBP post-mannequin 74.333 8.541 DBP post-simulator 79.133 7.864 -2.003 14 0.065 HR pre-mannequin 102.067 12.876 HR pre-simulator 91.533 11.825 4.482 29 &lt; .001 HR post-mannequin 95.867 14.623 HR post-simulator 103.667 14.450 -2.688 29 0.018
DOI: 10.5281/zenodo.8190067
title: coelogynopora_nodosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8190066
title: coelogynopora_nodosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23792382.v1
title: Example of participants' responses (IMG)

description: This is the underlying data for the article entitled "L2 Acquisition of <i>Wh-</i>interrogatives at the Syntax-discourse Interface: Interface Hypothesis again", by Mohammed Shormani
DOI: 10.6084/m9.figshare.23792385.v1
title: Example of participants' responses (NSG)

description: This is the underlying data for the article entitled "L2 Acquisition of <i>Wh-</i>interrogatives at the Syntax-discourse Interface: Interface Hypothesis again", by Mohammed Shormani
DOI: 10.34740/kaggle/dsv/3938151
title:  Covid-19 dataset
DOI: 10.34740/kaggle/dsv/6205192
title: NHANES 1988-2018
DOI: 10.3886/e135482v1-140472
title: Where Is the Middle Class? Evidence from 60 Million English Death and Probate Records, 1892–1992

description: Online Appendix and Replication data for <br> <br>Cummins, Neil. 2021. 'Where Is the Middle Class?Evidence from 60 Million EnglishDeath and Probate Records, 1892–1992' Journal of Economic History
DOI: 10.15151/esrf-dc-1305040552
title: High pressure study of charge density wave ordering in BaNi2As2

description: Recent experiments have revealed the interplay between two charge density wave (CDW) orders and superconductivity in BaNi2As2, a candidate system for charge-driven electronic nematicity. Chemical substitutions have demonstrated the effective tuning of the electronic ground state by chemical pressure and have indicated the unconventional nature of the CDW ordering. Yet, the microscopic origin of the CDWs, their interplay and their association with the underlying nematic instability remain to be clarified. We propose to approach these issues by systematically investigating the effect of hydrostatic pressure (HP) on the crystal structure and the CDW orders of BaNi2As2 using single crystal x-ray diffraction (XRD). Data for the Samples 6,7 and 8.
DOI: 10.5281/zenodo.8190119
title: Aluminum Billett 3D profile

description: The dataset is divided in two folders: calibration and case study. In calibration there are three folders: camera, translation and rotation. In camera there are the .btp files<br> acquired to calibrate the camera. In translation, there are the images of the center of the line. Each picture <br> corresponds to an increase of 0.1 mm. The images are named after each increment. In rotation, there are the images<br> of the laser line. Each picture corresponds to an incremental rotation of 2 degrees. The images are named after <br> each increment. In case study there are two folders: straight and not straight. The straight folder contains the acquired data<br> for a straight billet. The not straight folder contains the acquired data for a not straight billet. Each of these<br> folders contain three folders: profiles, rotation and translation. Profiles contain the .csv file acquired by<br> the laser profilometer. The sub folder cleaned profiles contains just the x and z coordinates of the acquisition. <br> Rotation, contains .btp images acquired with a higher exposure time: all the line is visible. <br> Translation, contains .btp images acquired with a lower exposure time: only the center of the line is visible.<br> In each folder of case study, the files are named according to the position measured by the encoder of the motorized drive.
DOI: 10.5281/zenodo.8190118
title: Aluminum Billett 3D profile

description: The dataset is divided in two folders: calibration and case study. In calibration there are three folders: camera, translation and rotation. In camera there are the .btp files<br> acquired to calibrate the camera. In translation, there are the images of the center of the line. Each picture <br> corresponds to an increase of 0.1 mm. The images are named after each increment. In rotation, there are the images<br> of the laser line. Each picture corresponds to an incremental rotation of 2 degrees. The images are named after <br> each increment. In case study there are two folders: straight and not straight. The straight folder contains the acquired data<br> for a straight billet. The not straight folder contains the acquired data for a not straight billet. Each of these<br> folders contain three folders: profiles, rotation and translation. Profiles contain the .csv file acquired by<br> the laser profilometer. The sub folder cleaned profiles contains just the x and z coordinates of the acquisition. <br> Rotation, contains .btp images acquired with a higher exposure time: all the line is visible. <br> Translation, contains .btp images acquired with a lower exposure time: only the center of the line is visible.<br> In each folder of case study, the files are named according to the position measured by the encoder of the motorized drive.
DOI: 10.5281/zenodo.8187720
title: TCGA Head & Neck Squamous Cell Carcinoma (HNSC) Gene Expression

description: <strong>Abstract:</strong> The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset contains information about HNSC, a type of cancer that originates in the squamous cells lining the mucosal surfaces of the head and neck region, including the oral cavity, throat, and larynx. The gene expression profile was measured experimentally using the Illumina HiSeq 2000 RNA Sequencing platform by the University of North Carolina TCGA genome characterization center. The Sample IDs serve as unique identifiers for each sample. <strong>Inspiration:</strong> This dataset was uploaded to UBRITE for GTKB project. <strong>Instruction:</strong> The log2(x+1) normalization was removed, and z-normalization was performed on the dataset using a Python script. <strong>Acknowledgments:</strong> Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8 The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764 <strong>U-BRITE last update: </strong>07/13/2023
description: U-BRITE location: /data/project/ubrite/gtkb/TCGA/GeneExp
description: {"references": ["Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8", "The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113\u20131120 (2013). https://doi.org/10.1038/ng.2764"]}
DOI: 10.5281/zenodo.8187719
title: TCGA Head & Neck Squamous Cell Carcinoma (HNSC) Gene Expression

description: <strong>Abstract:</strong> The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset contains information about HNSC, a type of cancer that originates in the squamous cells lining the mucosal surfaces of the head and neck region, including the oral cavity, throat, and larynx. The gene expression profile was measured experimentally using the Illumina HiSeq 2000 RNA Sequencing platform by the University of North Carolina TCGA genome characterization center. The Sample IDs serve as unique identifiers for each sample. <strong>Inspiration:</strong> This dataset was uploaded to UBRITE for GTKB project. <strong>Instruction:</strong> The log2(x+1) normalization was removed, and z-normalization was performed on the dataset using a Python script. <strong>Acknowledgments:</strong> Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8 The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764 <strong>U-BRITE last update: </strong>07/13/2023
description: U-BRITE location: /data/project/ubrite/gtkb/TCGA/GeneExp
description: {"references": ["Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8", "The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113\u20131120 (2013). https://doi.org/10.1038/ng.2764"]}
DOI: 10.5281/zenodo.8187587
title: TCGA Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Gene Expression

description: <strong>Abstract:</strong> The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset contains information about CESC, a type of cancer that affects the cells lining the cervix and can have squamous cell or adenocarcinoma histological subtypes. The gene expression profile was measured experimentally using the Illumina HiSeq 2000 RNA Sequencing platform by the University of North Carolina TCGA genome characterization center. The Sample IDs serve as unique identifiers for each sample. <strong>Inspiration:</strong> This dataset was uploaded to UBRITE for GTKB project. <strong>Instruction:</strong> The log2(x+1) normalization was removed, and z-normalization was performed on the dataset using a Python script. <strong>Acknowledgments:</strong> Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8 The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764 <strong>U-BRITE last update: </strong>07/13/2023
description: U-BRITE location: /data/project/ubrite/gtkb/TCGA/GeneExp
description: {"references": ["Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8", "The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113\u20131120 (2013). https://doi.org/10.1038/ng.2764"]}
DOI: 10.5281/zenodo.8187586
title: TCGA Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Gene Expression

description: <strong>Abstract:</strong> The Cancer Genome Atlas (TCGA) was a large-scale collaborative project initiated by the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI). It aimed to comprehensively characterize the genomic and molecular landscape of various cancer types. This dataset contains information about CESC, a type of cancer that affects the cells lining the cervix and can have squamous cell or adenocarcinoma histological subtypes. The gene expression profile was measured experimentally using the Illumina HiSeq 2000 RNA Sequencing platform by the University of North Carolina TCGA genome characterization center. The Sample IDs serve as unique identifiers for each sample. <strong>Inspiration:</strong> This dataset was uploaded to UBRITE for GTKB project. <strong>Instruction:</strong> The log2(x+1) normalization was removed, and z-normalization was performed on the dataset using a Python script. <strong>Acknowledgments:</strong> Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8 The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113–1120 (2013). https://doi.org/10.1038/ng.2764 <strong>U-BRITE last update: </strong>07/13/2023
description: U-BRITE location: /data/project/ubrite/gtkb/TCGA/GeneExp
description: {"references": ["Goldman, M.J., Craft, B., Hastie, M. et al. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-020-0546-8", "The Cancer Genome Atlas Research Network., Weinstein, J., Collisson, E. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45, 1113\u20131120 (2013). https://doi.org/10.1038/ng.2764"]}
DOI: 10.5517/ccdc.csd.cc2b5h45
title: CCDC 2150226: Experimental Crystal Structure Determination

description: Related Article: Yong Ai, Rong Sun, Wei‐Qiang Liao, Xian‐Jiang Song, Yuan‐Yuan Tang, Bing‐Wu Wang, Zhe‐Ming Wang, Song Gao, Ren‐Gen Xiong|2022|Angew.Chem.,Int.Ed.|61|e202206034|doi:10.1002/anie.202206034
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.cc2b5h56
title: CCDC 2150227: Experimental Crystal Structure Determination

description: Related Article: Yong Ai, Rong Sun, Wei‐Qiang Liao, Xian‐Jiang Song, Yuan‐Yuan Tang, Bing‐Wu Wang, Zhe‐Ming Wang, Song Gao, Ren‐Gen Xiong|2022|Angew.Chem.,Int.Ed.|61|e202206034|doi:10.1002/anie.202206034
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: 10.6084/m9.figshare.23792448
title: Neural data for Zabeh et al. 2023

description: Provide data for the following publication: Zabeh et al. 2023, Traveling waves in the monkey frontoparietal network predict recent reward memory
DOI: 10.6084/m9.figshare.23792448.v1
title: Neural data for Zabeh et al. 2023

description: Provide data for the following publication: Zabeh et al. 2023, Traveling waves in the monkey frontoparietal network predict recent reward memory
DOI: 10.5517/ccdc.csd.cc2996tn
title: CCDC 2124021: Experimental Crystal Structure Determination

description: Related Article: Xianying Duan, Guang-guang Zhang, Yan Zhao, Meilin Wei|2022|Eur.J.Inorg.Chem.|2022|e202200382|doi:10.1002/ejic.202200382
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.cc2996vp
title: CCDC 2124022: Experimental Crystal Structure Determination

description: Related Article: Xianying Duan, Guang-guang Zhang, Yan Zhao, Meilin Wei|2022|Eur.J.Inorg.Chem.|2022|e202200382|doi:10.1002/ejic.202200382
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.cc2996wq
title: CCDC 2124023: Experimental Crystal Structure Determination

description: Related Article: Xianying Duan, Guang-guang Zhang, Yan Zhao, Meilin Wei|2022|Eur.J.Inorg.Chem.|2022|e202200382|doi:10.1002/ejic.202200382
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.cc29fckp
title: CCDC 2128012: Experimental Crystal Structure Determination

description: Related Article: Ioannis Mylonas‐Margaritis, Júlia Mayans, Constantinos G. Efthymiou, Patrick McArdle, Constantina Papatriantafyllopoulou|2022|Eur.J.Inorg.Chem.|2022|e202200140|doi:10.1002/ejic.202200140
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.cc29fclq
title: CCDC 2128013: Experimental Crystal Structure Determination

description: Related Article: Ioannis Mylonas‐Margaritis, Júlia Mayans, Constantinos G. Efthymiou, Patrick McArdle, Constantina Papatriantafyllopoulou|2022|Eur.J.Inorg.Chem.|2022|e202200140|doi:10.1002/ejic.202200140
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.cc29fcmr
title: CCDC 2128014: Experimental Crystal Structure Determination

description: Related Article: Ioannis Mylonas‐Margaritis, Júlia Mayans, Constantinos G. Efthymiou, Patrick McArdle, Constantina Papatriantafyllopoulou|2022|Eur.J.Inorg.Chem.|2022|e202200140|doi:10.1002/ejic.202200140
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.cc29jbw2
title: CCDC 2130874: Experimental Crystal Structure Determination

description: Related Article: Ryan D. McCurdy, Aidan Delgado, Jingwei Jiang, Junmian Zhu, Ethan Chi Ho Wen, Raymond E. Blackwell, Gregory C. Veber, Shenkai Wang, Steven G. Louie, Felix R. Fischer|2023|J.Am.Chem.Soc.|145|15162|doi:10.1021/jacs.3c01576
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.cc29jbx3
title: CCDC 2130875: Experimental Crystal Structure Determination

description: Related Article: Ryan D. McCurdy, Aidan Delgado, Jingwei Jiang, Junmian Zhu, Ethan Chi Ho Wen, Raymond E. Blackwell, Gregory C. Veber, Shenkai Wang, Steven G. Louie, Felix R. Fischer|2023|J.Am.Chem.Soc.|145|15162|doi:10.1021/jacs.3c01576
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.cc2b8xg0
title: CCDC 2153522: Experimental Crystal Structure Determination

description: Related Article: Jie Wang, Fan Xu, Zhao‐Yang Wang, Shuang‐Quan Zang, Thomas C. W. Mak|2022|Angew.Chem.,Int.Ed.|61|e202207492|doi:10.1002/anie.202207492
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: 10.5281/zenodo.8190132
title: Gridded forecast data over the Mediterranean and the North Sea from ECMWF models

description: Gridded forecast data over the Mediterranean and the North Sea from ECMWF used in Cavaleri et al JGR 2023
DOI: 10.5281/zenodo.8190131
title: Gridded forecast data over the Mediterranean and the North Sea from ECMWF models

description: Gridded forecast data over the Mediterranean and the North Sea from ECMWF used in Cavaleri et al JGR 2023