cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc298nkt
title: CCDC 2123486: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.cc298nlv
title: CCDC 2123487: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.cc298nmw
title: CCDC 2123488: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.cc298nnx
title: CCDC 2123489: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.cc298npy
title: CCDC 2123490: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.cc298nqz
title: CCDC 2123491: Experimental Crystal Structure Determination

description: Related Article: Andrey Serykh, Evgeny Tretyakov, Pavel Fedyushin, Bogdan Ugrak, Tatyana Dutova, Andrey Lalov, Alexander Korlyukov, Anna Akyeva, Mikhail Syroeshkin, Artem Bogomyakov, Galina Romanenko, Natalia Artiukhova, Mikhail Egorov, Victor Ovcharenko|2022|J.Mol.Struct.|1269|133739|doi:10.1016/j.molstruc.2022.133739
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.6944028
title: Heart Segmentation of ventricles

description: Dataset for deep learning training course
DOI: 10.6084/m9.figshare.20406969.v1
title: State capture.zip

description: A new global dataset on offensives by rebel groups on a national capital of a recognised state, from 1945 to 2021. 50 dyads of attempts by a rebel group to capture a national capital are identified, which are then disaggregated into a second time-series dataset.
DOI: 10.5281/zenodo.6943929
title: Simulations of POPC/cholesterol mixtures at 333 K, three system sizes

description: For the calculation of shear viscosities based on Vögele et al., Phys. Rev. Lett. 120, 268104 (2018). All simulations at 333 K.
DOI: 10.5281/zenodo.6943928
title: Simulations of POPC/cholesterol mixtures at 333 K, three system sizes

description: For the calculation of shear viscosities based on Vögele et al., Phys. Rev. Lett. 120, 268104 (2018). All simulations at 333 K.
DOI: 10.5281/zenodo.6944119
title: Heart Segmentation of ventricles

description: Dataset for deep learning training course
DOI: 10.6084/m9.figshare.20406969
title: Rebel offensives for state capture (1945-2021)

description: A new global dataset on all offensives by rebel groups on a national capital of a recognised state in intrastate conflicts from 1945 to 2021. The dataset includes variables for rebel negotiation, military velocity and outcome, political inclusivity of the rebel group, and recognition year of new rebel governments. 50 dyads of attempts by a rebel group to capture a national capital are identified, which are then disaggregated into a second time-series dataset.
DOI: 10.6084/m9.figshare.20406969.v3
title: Rebel offensives for state capture (1945-2021)

description: A new global dataset on all offensives by rebel groups on a national capital of a recognised state in intrastate conflicts from 1945 to 2021. The dataset includes variables for rebel negotiation, military velocity and outcome, political inclusivity of the rebel group, and recognition year of new rebel governments. 50 dyads of attempts by a rebel group to capture a national capital are identified, which are then disaggregated into a second time-series dataset.
DOI: 10.6084/m9.figshare.20406969.v2
title: State capture.zip

description: A new global dataset on all offensives by rebel groups on a national capital of a recognised state, from 1945 to 2021. The dataset includes variables for rebel negotiation, military velocity, political inclusivity of the rebel group, and recognition year of new rebel governments. 50 dyads of attempts by a rebel group to capture a national capital are identified, which are then disaggregated into a second time-series dataset.
DOI: 10.34740/kaggle/dsv/4006822
title: Challenge 1 - COVID-19 in LATAM
DOI: 10.5281/zenodo.6944002
title: Psammodynastes pulverulentus decontaminated gx

description: .
DOI: 10.5281/zenodo.6944001
title: Psammodynastes pulverulentus decontaminated gx

description: .
DOI: 10.7910/dvn/jntgth
title: Acute Pulmonary Embolism in three Chinese hospitals

description: Acute Pulmonary Embolism in three Chinese hospitals
DOI: 10.34740/kaggle/dsv/4007006
title: Mahanagar Yatayat Dataset
DOI: 10.34740/kaggle/dsv/4007012
title: 1234567890
DOI: 10.5281/zenodo.6943299
title: OMA1-mediated integrated stress response protects against ferroptosis in mitochondrial cardiomyopathy

description: Cardiomyopathy and heart failure are common manifestations in mitochondrial disease caused by deficiencies in the oxidative phosphorylation system of mitochondria (OXPHOS). Here, we demonstrate that the cardiac-specific loss of the assembly factor Cox10 of the cytochrome <em>c</em> oxidase causes mitochondrial cardiomyopathy in mice, which is associated with OXPHOS deficiency, lysosomal defects and an aberrant mitochondrial morphology. Activation of the mitochondrial peptidase Oma1 in <em>Cox10</em><sup>-/-</sup> mice results in mitochondrial fragmentation and induction of the integrated stress response (ISR) along the Oma1-Dele1-Atf4 signalling axis. Ablation of <em>Oma1</em> or <em>Dele1</em> in <em>Cox10</em><sup>-/-</sup> mice aggravates cardiomyopathy. ISR inhibition impairs the cardiac glutathione metabolism, limits the selenium-dependent accumulation of the glutathione peroxidase Gpx4 and increases lipid peroxidation in the heart, ultimately culminating in ferroptosis. Our results demonstrate a protective role of the Oma1-Dele1-mediated ISR in mitochondrial cardiomyopathy and link ferroptosis to OXPHOS deficiency and mitochondrial disease.
description: This uploaded data set contains raw files associated to the above mentioned publication (Ahloa et al. Cell Metabolism). Additionally to the raw files a text document describing the analytical methods. Further ID files, were included, describing each analytical data set. The ID files contain contain two sheets, one describing the sample IDs and one describing the compounds IDs.
DOI: 10.5281/zenodo.6943298
title: OMA1-mediated integrated stress response protects against ferroptosis in mitochondrial cardiomyopathy

description: Cardiomyopathy and heart failure are common manifestations in mitochondrial disease caused by deficiencies in the oxidative phosphorylation system of mitochondria (OXPHOS). Here, we demonstrate that the cardiac-specific loss of the assembly factor Cox10 of the cytochrome <em>c</em> oxidase causes mitochondrial cardiomyopathy in mice, which is associated with OXPHOS deficiency, lysosomal defects and an aberrant mitochondrial morphology. Activation of the mitochondrial peptidase Oma1 in <em>Cox10</em><sup>-/-</sup> mice results in mitochondrial fragmentation and induction of the integrated stress response (ISR) along the Oma1-Dele1-Atf4 signalling axis. Ablation of <em>Oma1</em> or <em>Dele1</em> in <em>Cox10</em><sup>-/-</sup> mice aggravates cardiomyopathy. ISR inhibition impairs the cardiac glutathione metabolism, limits the selenium-dependent accumulation of the glutathione peroxidase Gpx4 and increases lipid peroxidation in the heart, ultimately culminating in ferroptosis. Our results demonstrate a protective role of the Oma1-Dele1-mediated ISR in mitochondrial cardiomyopathy and link ferroptosis to OXPHOS deficiency and mitochondrial disease.
description: This uploaded data set contains raw files associated to the above mentioned publication (Ahloa et al. Cell Metabolism). Additionally to the raw files a text document describing the analytical methods. Further ID files, were included, describing each analytical data set. The ID files contain contain two sheets, one describing the sample IDs and one describing the compounds IDs.
DOI: 10.14469/hpc/10647
title: CF3COOH-DCM-Dimer

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10648
title: CF3COOH-H2O-H-bond-donor

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10649
title: CF3COOH-H2O-Dimer

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10650
title: CF3COOH-MeOH-H-bond-donor

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10651
title: CF3COOH-MeOH-Dimer

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10679
title: CF3COOH-H2O-H-bond

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10680
title: CF3COOH-MeOH-H-bond

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10686
title: GABCEV

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10688
title: ZUCPOP

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10689
title: SEGNAW

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10690
title: SEGMUP

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10691
title: SEGMOJ

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10692
title: OZOJOD

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10693
title: FUYDOT

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10699
title: CARKIR

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10701
title: YOWJIG

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10702
title: ZUCWAY

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10727
title: Na6DMSO

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10733
title: Atropisomerisation in dichloro polysiphenol, Cl...Cl bond, TS, OH isomer, G = -1760.319758, ΔG‡ = 25.3

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10734
title: Dimethyl polysiphenol, Atropisomerisation Me-Me, ground state, G = -919.748382

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10742
title: GS for atropisomerisation in dibromo polysiphenol, OH isomer, G = -5983.470177

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10743
title: Difluoro polysiphenol, Ground state, OH isomer, G = -1039.615434

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10744
title: Dimethyl polysiphenol, Atropisomerisation Me-Me, ground state, OH isomer, G = -919.746873

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10745
title: GS for atropisomerisation in dichloro polysiphenol, OH isomer, G = -1760.360064

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10746
title: Dimethyl polysiphenol, Atropisomerisation Me-Me, TS, OH isomer, G = -919.702993

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10747
title: Difluoro polysiphenol, Atropisomerisation F...F TS superfine grid OH isomer, G = -1039.598652, ΔG‡ = 10.5 kcal/mol

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10748
title: Dibromo polysiphenol, TS, OH isomer, G = -5983.421599, ΔG‡ = 32.0 kcal/mol = 30.5

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10749
title: Fluoro, chloro polysiphenol, Atropisomerisation Cl...F TS OH isomer, G = -1399.964638, ΔG‡ = 14.7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10750
title: Bromo, chloro polysiphenol, Atropisomerisation Cl...Br, TS OH isomer, G = -3871.870876 ΔG‡ = 27.5

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10751
title: Bromo, chloro polysiphenol, Atropisomerisation Cl...Br, ground state, OH isomer, G = -3871.914718

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10752
title: Fluoro, chloro polysiphenol, Atropisomerisation, ground state, OH isomer, G = -1399.988134

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10753
title: Dimethyl polysiphenol, Atropisomerisation Me-Me, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10755
title: Dibromo polysiphenol, TS, OH isomer, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10756
title: Difluoro polysiphenol, Atropisomerisation F...F OH isomer, IRC

description: Gaussian 16 (C01) calculation
DOI: 10.1184/r1/20406345
title: Supplementary Material for the Manuscript "Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis."

description: Supplementary Material for the Manuscript titled - "Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis." <br> <strong>Supplemental Table S1.xlsx</strong> is the Dataset of Protein Sequence entries of 4-Hydroxybenzoate octaprenyl transferase derived from UniProt database. This dataset was input to MMseqs2 tool for sensitive sequence search for Clustering analysis. <strong>Supplemental Table S2.xlsx</strong> is the Dataset of Largest Cluster, Cluster-19 identified during first step of clustering using MMseqs2 tool. Protein Sequences share 30% sequence identity and 50% minimum coverage. <strong>Supplemental Table S3.xlsx </strong>is the Dataset of Largest Cluster, Cluster-35 identified during Second step of clustering using MMseqs2 tool. Protein Sequences share 40% sequence identity and 80% minimum coverage. <strong>Supplementary Material.pdf</strong> is the online resource supplemental to the manuscript.
DOI: 10.1184/r1/20406345.v1
title: Supplementary Material for the Manuscript "Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis."

description: Supplementary Material for the Manuscript titled - "Comparative Computational Study to Augment UbiA prenyltransferases Inherent in Purple Photosynthetic Bacteria Isolated from Mangrove Microbial Mats in Qatar for Coenzyme Q10 biosynthesis." <br> <strong>Supplemental Table S1.xlsx</strong> is the Dataset of Protein Sequence entries of 4-Hydroxybenzoate octaprenyl transferase derived from UniProt database. This dataset was input to MMseqs2 tool for sensitive sequence search for Clustering analysis. <strong>Supplemental Table S2.xlsx</strong> is the Dataset of Largest Cluster, Cluster-19 identified during first step of clustering using MMseqs2 tool. Protein Sequences share 30% sequence identity and 50% minimum coverage. <strong>Supplemental Table S3.xlsx </strong>is the Dataset of Largest Cluster, Cluster-35 identified during Second step of clustering using MMseqs2 tool. Protein Sequences share 40% sequence identity and 80% minimum coverage. <strong>Supplementary Material.pdf</strong> is the online resource supplemental to the manuscript.
DOI: 10.6084/m9.figshare.20407044
title: S1_Paired Data 1.xlsx

description: S1_Paired Data.xlsx is a database in excel format paired with the TCGA database patient ID (TCGAlong.id). Each ID contains the Stemness of normal tissue [EREG-mRNAsi(Normal)] and the Stemness of tumor tissue [EREG-mRNAsi(Tumor1)] and their clinical cancer metastasis [transformed into numerical values, including stage (cancer), T (Tumor size), M (Distant metastases), N (Lymph node involvement)].
DOI: 10.6084/m9.figshare.20407044.v1
title: S1_Paired Data 1.xlsx

description: S1_Paired Data.xlsx is a database in excel format paired with the TCGA database patient ID (TCGAlong.id). Each ID contains the Stemness of normal tissue [EREG-mRNAsi(Normal)] and the Stemness of tumor tissue [EREG-mRNAsi(Tumor1)] and their clinical cancer metastasis [transformed into numerical values, including stage (cancer), T (Tumor size), M (Distant metastases), N (Lymph node involvement)].
DOI: 10.34740/kaggle/dsv/4006332
title: Ethereum-historical-data {Cryptocurrency}
DOI: 10.6084/m9.figshare.20406276
title: Supplementary data for Islam et al. 2022 - Downsampling of whole genomes

description: All results from the <em>de novo </em>extraction of mutational signatures from downsampling of whole-genome sequenced samples to whole-exomes.
DOI: 10.6084/m9.figshare.20406276.v1
title: Supplementary data for Islam et al. 2022 - Downsampling of whole genomes

description: All results from the <em>de novo </em>extraction of mutational signatures from downsampling of whole-genome sequenced samples to whole-exomes.
DOI: 10.6084/m9.figshare.20406156
title: Supplementary data for Islam et al. 2022 - Confirmation of novel signatures

description: All results from the <em>de novo </em>extraction of mutational signatures for confirming the patterns of the novel signatures for additional datasets.
DOI: 10.5281/zenodo.6944302
title: Supporting information for 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'

description: These tables contain data for the manuscript 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'
DOI: 10.5281/zenodo.6944301
title: Supporting information for 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'

description: These tables contain data for the manuscript 'Towards better understanding of the ferrofluid impregnation process and potential artefacts – a prerequisite for reliable interpretation of magnetic pore fabrics'
DOI: 10.5281/zenodo.6928604
title: F-actin cryoDRGN bending maps and models

description: This dataset contains the inputs and outputs of cryoDRGN variability analysis for ADP-F-actin and ADP-Pi-F-actin. Within cryoDRGN.zip are the maps and models used for bending analysis as well as the input data and trained neural networks to reproduce these results. In bin1_particles_aligned.zip are the stacks of aligned polished, bin1 particles that were binned by 2 and used as input for cryoDRGN training. Lastly, curvature_measurements.zip contains the curvature measurements used to generate curvature distribution histograms.
DOI: 10.5281/zenodo.6928603
title: F-actin cryoDRGN bending maps and models

description: This dataset contains the inputs and outputs of cryoDRGN variability analysis for ADP-F-actin and ADP-Pi-F-actin. Within cryoDRGN.zip are the maps and models used for bending analysis as well as the input data and trained neural networks to reproduce these results. In bin1_particles_aligned.zip are the stacks of aligned polished, bin1 particles that were binned by 2 and used as input for cryoDRGN training. Lastly, curvature_measurements.zip contains the curvature measurements used to generate curvature distribution histograms.
DOI: 10.5281/zenodo.6917913
title: Neural network training sets

description: This dataset contains the synthetically generated particle image datasets used to train a denoising autoencoder (DAE_synthetic_dataset.zip) and a fully convolutional network for semantic segmentation (semanticSegmentation_synthetic_dataset.zip). The necessary models and maps used to generate the dataset are included in synthetic_volumes_and_pdbs.zip. Lastly, the trained neural networks are included in trained_neural_networks.zip.
DOI: 10.5281/zenodo.6917912
title: Neural network training sets

description: This dataset contains the synthetically generated particle image datasets used to train a denoising autoencoder (DAE_synthetic_dataset.zip) and a fully convolutional network for semantic segmentation (semanticSegmentation_synthetic_dataset.zip). The necessary models and maps used to generate the dataset are included in synthetic_volumes_and_pdbs.zip. Lastly, the trained neural networks are included in trained_neural_networks.zip.
DOI: 10.5281/zenodo.6929148
title: Cofilin severing assay dataset

description: This dataset contains the raw TIRF microscopy data from a cofilin severing assay as well as the scripts used to analyze the data.
DOI: 10.5281/zenodo.6929147
title: Cofilin severing assay dataset

description: This dataset contains the raw TIRF microscopy data from a cofilin severing assay as well as the scripts used to analyze the data.
DOI: 10.5281/zenodo.6944310
title: PainDatafor_Telemedicine_ML

description: The dataset includes 158 patients treated for cancer pain via telemedicine (synchronous approach)
DOI: 10.5281/zenodo.6944309
title: PainDatafor_Telemedicine_ML

description: The dataset includes 158 patients treated for cancer pain via telemedicine (synchronous approach)
DOI: 10.20375/0000-000f-4874-e
title: complete-codes-merged.mx20
DOI: 10.20375/0000-000f-4875-d
title: complete-codes-merged.qdpx
DOI: 10.20375/0000-000f-4876-c
title: DocuDataCollection.pdf