cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6395378
title: Android恶意代码家族图像化识别方法

description: AMFD(Android Malware Family Dataset)
DOI: 10.5281/zenodo.6395371
title: Datasets de Acórdãos do STJ

description: Datasets contendo Acórdãos do STJ retirados de documentos PDF disponíveis em: https://scon.stj.jus.br/SCON/ Os documentos estão na seguinte estrutura correpondente às colunas do Dataset: <strong>Coluna</strong> <strong>Descrição</strong> Processo Referência ao documento extraído da base Partes Partes envolvidas no processo em questão Ementa Síntese do acórdão com pontos fundamentais Acórdão Detalhamento do processo Relatório Descrição dos fatos do processo Voto Manifestação da conclusão Assunto Criada para indicar o tema do acórdão extraído Atualmente, a Base de Dados possui 272 elementos, divididos da seguinte forma: <strong>Tema</strong> <strong>Quantidade</strong> Responsabilidade Civil 57 Direitos Autorais 54 Alimentos 53 Contratos 53 Condomínio 52 Total 272 O Dataset "acordaos_stj.csv" contém os textos retirados dos documentos sem tratamento. O segundo Dataset, "acordaos_stj_preprocessado" contém os mesmos documentos, mas com as colunas possuem os texto já tratados.
DOI: 10.5281/zenodo.6395370
title: Datasets de Acórdãos do STJ

description: Datasets contendo Acórdãos do STJ retirados de documentos PDF disponíveis em: https://scon.stj.jus.br/SCON/ Os documentos estão na seguinte estrutura correpondente às colunas do Dataset: <strong>Coluna</strong> <strong>Descrição</strong> Processo Referência ao documento extraído da base Partes Partes envolvidas no processo em questão Ementa Síntese do acórdão com pontos fundamentais Acórdão Detalhamento do processo Relatório Descrição dos fatos do processo Voto Manifestação da conclusão Assunto Criada para indicar o tema do acórdão extraído Atualmente, a Base de Dados possui 272 elementos, divididos da seguinte forma: <strong>Tema</strong> <strong>Quantidade</strong> Responsabilidade Civil 57 Direitos Autorais 54 Alimentos 53 Contratos 53 Condomínio 52 Total 272 O Dataset "acordaos_stj.csv" contém os textos retirados dos documentos sem tratamento. O segundo Dataset, "acordaos_stj_preprocessado" contém os mesmos documentos, mas com as colunas possuem os texto já tratados.
DOI: 10.6084/m9.figshare.19450916
title: FTIR Dataset

description: Databases of FTIR spectra of saliva samples from patients with and without type 2 diabetes (TYPE 2 DIABETES DATASET and CONTROL DATASET respectively)
DOI: 10.6084/m9.figshare.19441385
title: Data, analysis code and simulation code for "Geometric control of topological dynamics in a singing saw"

description: This repository contains all experimental data and source code required to reproduce the figures in the paper<br><br>Shankar S, Bryde P, Mahadevan L. 2022 Geometric control of topological dynamics in a singing saw. Proceedings of the National Academy of Sciences USA.<br>also available as a preprint at<br><br>Shankar S, Bryde P, Mahadevan L. 2021 Geometric control of topological dynamics in a singing saw. arXiv preprint arXiv:2108.10875.<br>The dataset contains the following folders:<br><b>experiments</b>: Contains the experimental data (raw audio) and data analysis code to reproduce the experimental components of the figures: Fig. 1D, Fig. 3C-D, and Fig. S1A-C.The experimental data is contained in the J-bow, J-mallet, S-saw and S-mallet subfolders.<br><b>simulations</b>: Contains the code to run the numerical simulations and reproduce Fig. 2B-E, Fig. 3A-B, Fig. S2A-B, and Fig. S3A-D.The simulation code is written in Python and organized as follows:The shells folder contains finite element simulation code based partly on the FEniCS-Shells library<sup>1</sup> and employs the FEniCS Project finite element problem solving environment.<br>The saw folder contains scripts that perform the numerical simulations and produce the graphs. More information can be found in the README.<br>---<br><br><sup>1</sup>Simple and extensible plate and shell finite element models through automatic code generation tools, J. S. Hale, M. Brunetti, S. P. A. Bordas, C. Maurini. Computers & Structures, 209, 163-181, doi.org/10.1016/j.compstruc.2018.08.001.<br><br><sup>2</sup>M. Alnæs, J. Blechta, J. Hake, A. Johansson, B. Kehlet, Anders Logg, Chris Richardson, Johannes Ring, Marie E.Rognes, and Garth N. Wells. The FEniCS Project Version 1.5. Archive of Numerical Software, 3(100), December2015. ISSN 2197-8263. doi: 10.11588/ans.2015.100.20553. URL http://journals.ub.uni-heidelberg.de/index.php/ans/article/view/20553.<br>
DOI: 10.6084/m9.figshare.19441385.v1
title: Data, analysis code and simulation code for "Geometric control of topological dynamics in a singing saw"

description: This repository contains all experimental data and source code required to reproduce the figures in the paper<br><br>Shankar S, Bryde P, Mahadevan L. 2022 Geometric control of topological dynamics in a singing saw. Proceedings of the National Academy of Sciences USA.<br>also available as a preprint at<br><br>Shankar S, Bryde P, Mahadevan L. 2021 Geometric control of topological dynamics in a singing saw. arXiv preprint arXiv:2108.10875.<br>The dataset contains the following folders:<br><b>experiments</b>: Contains the experimental data (raw audio) and data analysis code to reproduce the experimental components of the figures: Fig. 1D, Fig. 3C-D, and Fig. S1A-C.The experimental data is contained in the J-bow, J-mallet, S-saw and S-mallet subfolders.<br><b>simulations</b>: Contains the code to run the numerical simulations and reproduce Fig. 2B-E, Fig. 3A-B, Fig. S2A-B, and Fig. S3A-D.The simulation code is written in Python and organized as follows:The shells folder contains finite element simulation code based partly on the FEniCS-Shells library<sup>1</sup> and employs the FEniCS Project finite element problem solving environment.<br>The saw folder contains scripts that perform the numerical simulations and produce the graphs. More information can be found in the README.<br>---<br><br><sup>1</sup>Simple and extensible plate and shell finite element models through automatic code generation tools, J. S. Hale, M. Brunetti, S. P. A. Bordas, C. Maurini. Computers & Structures, 209, 163-181, doi.org/10.1016/j.compstruc.2018.08.001.<br><br><sup>2</sup>M. Alnæs, J. Blechta, J. Hake, A. Johansson, B. Kehlet, Anders Logg, Chris Richardson, Johannes Ring, Marie E.Rognes, and Garth N. Wells. The FEniCS Project Version 1.5. Archive of Numerical Software, 3(100), December2015. ISSN 2197-8263. doi: 10.11588/ans.2015.100.20553. URL http://journals.ub.uni-heidelberg.de/index.php/ans/article/view/20553.<br>
DOI: 10.5281/zenodo.6395365
title: TransPro inference result on CCLE and TCGA celllines and CCLE drugs

description: TransPro inference result on CCLE and TCGA celllines and CCLE drugs
DOI: 10.5281/zenodo.6395364
title: TransPro inference result on CCLE and TCGA celllines and CCLE drugs

description: TransPro inference result on CCLE and TCGA celllines and CCLE drugs
DOI: 10.6084/m9.figshare.19450986
title: Additional file 1 of Bacteremia detection from complete blood count and differential leukocyte count with machine learning: complementary and competitive with C-reactive protein and procalcitonin tests

description: Additional file 1: Table S1. Coefficients, p-values, and confidence intervals in logistic regression analysis. This shows data reran using logistic regression in Python’s statsmodels package.
DOI: 10.6084/m9.figshare.19450986.v1
title: Additional file 1 of Bacteremia detection from complete blood count and differential leukocyte count with machine learning: complementary and competitive with C-reactive protein and procalcitonin tests

description: Additional file 1: Table S1. Coefficients, p-values, and confidence intervals in logistic regression analysis. This shows data reran using logistic regression in Python’s statsmodels package.
DOI: 10.6084/m9.figshare.19326965
title: Additional file 1 of A quantitative evaluation of empathy using JSE-S Tool, before and after a Medical Humanities Module, amongst first-year medical students in Nepal

description: Additional file 1. Dataset -A Quantitative Evaluation of Empathy Using JSE-S Tool, Before and After a Medical Humanities Module, Amongst First-year Medical Students in Nepal
DOI: 10.6084/m9.figshare.19326965.v2
title: Additional file 1 of A quantitative evaluation of empathy using JSE-S Tool, before and after a Medical Humanities Module, amongst first-year medical students in Nepal

description: Additional file 1. Dataset -A Quantitative Evaluation of Empathy Using JSE-S Tool, Before and After a Medical Humanities Module, Amongst First-year Medical Students in Nepal
DOI: 10.6084/m9.figshare.19326965.v1
title: Additional file 1 of A quantitative evaluation of empathy using JSE-S Tool, before and after a Medical Humanities Module, amongst first-year medical students in Nepal

description: Additional file 1. Dataset -A Quantitative Evaluation of Empathy Using JSE-S Tool, Before and After a Medical Humanities Module, Amongst First-year Medical Students in Nepal
DOI: 10.6084/m9.figshare.19451037
title: Additional file 2 of Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury

description: Additional file 2.
DOI: 10.6084/m9.figshare.19451037.v1
title: Additional file 2 of Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury

description: Additional file 2.
DOI: 10.6084/m9.figshare.19451044
title: Additional file 1 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 1. County Civil Registrar Data Collection Form. ODK electronic tool.
DOI: 10.6084/m9.figshare.19451044.v1
title: Additional file 1 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 1. County Civil Registrar Data Collection Form. ODK electronic tool.
DOI: 10.6084/m9.figshare.19451053
title: Additional file 4 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 4. HospitalRecordsLink Sheet. Used to abstract data from hospital deaths, which were subsequently entered into an Open Data Kit (ODK) form.
DOI: 10.6084/m9.figshare.19451053.v1
title: Additional file 4 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 4. HospitalRecordsLink Sheet. Used to abstract data from hospital deaths, which were subsequently entered into an Open Data Kit (ODK) form.
DOI: 10.6084/m9.figshare.19451056
title: Additional file 5 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 5. Mortality Surveillance Register. A paper register created to capture details of all deaths documented in the mortuaries during the study period and doubled up as the blood collection register.
DOI: 10.6084/m9.figshare.19451056.v1
title: Additional file 5 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 5. Mortality Surveillance Register. A paper register created to capture details of all deaths documented in the mortuaries during the study period and doubled up as the blood collection register.
DOI: 10.6084/m9.figshare.19451059
title: Additional file 6 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 6. Mortality Surveillance Oral Sample Register. Recorded details relating to oral HIV testing for all eligible decedents at JOOTRH mortuary.
DOI: 10.6084/m9.figshare.19451059.v1
title: Additional file 6 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 6. Mortality Surveillance Oral Sample Register. Recorded details relating to oral HIV testing for all eligible decedents at JOOTRH mortuary.
DOI: 10.6084/m9.figshare.19451062
title: Additional file 7 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 7. Cause of Death (COD) data Abstraction Form. Used to enter COD data abstracted from the D1 forms.
DOI: 10.6084/m9.figshare.19451062.v1
title: Additional file 7 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 7. Cause of Death (COD) data Abstraction Form. Used to enter COD data abstracted from the D1 forms.
DOI: 10.6084/m9.figshare.19451065
title: Additional file 8 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 8. Mortality Study Laboratory Requisition Form. Used for requesting specific laboratory tests to be conducted on the sample at the KEMRI HIV-R laboratory.
DOI: 10.6084/m9.figshare.19451065.v1
title: Additional file 8 of Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting: lessons from Western Kenya

description: Additional file 8. Mortality Study Laboratory Requisition Form. Used for requesting specific laboratory tests to be conducted on the sample at the KEMRI HIV-R laboratory.
DOI: 10.6084/m9.figshare.19451152
title: Additional file 1 of Adding hydrogen atoms to molecular models via fragment superimposition

description: Additional file 1: Accuracy and run time benchmarks.
DOI: 10.6084/m9.figshare.19451152.v1
title: Additional file 1 of Adding hydrogen atoms to molecular models via fragment superimposition

description: Additional file 1: Accuracy and run time benchmarks.
DOI: 10.5281/zenodo.6395453
title: Miami KMZ data

description: KMZ files for Miami Beach Data processed is Sentinel-1 in Ascending mode, track 48 from 20150921 to 20211112
DOI: 10.6084/m9.figshare.19451196
title: Additional file 11 of A pilot study of game-based learning programs for childhood cancer survivors

description: Additional file 11. Dataset.
DOI: 10.6084/m9.figshare.19451196.v1
title: Additional file 11 of A pilot study of game-based learning programs for childhood cancer survivors

description: Additional file 11. Dataset.
DOI: 10.6084/m9.figshare.19451220
title: Additional file 9 of A pilot study of game-based learning programs for childhood cancer survivors

description: Additional file 9. Characteristics of the withdrawals.
DOI: 10.6084/m9.figshare.19451220.v1
title: Additional file 9 of A pilot study of game-based learning programs for childhood cancer survivors

description: Additional file 9. Characteristics of the withdrawals.
DOI: 10.6084/m9.figshare.19451226
title: Additional file 2 of Heart failure in childhood cancer survivors—a systematic review protocol

description: Additional file 2. PRISMA-P 2015 Checklist.
DOI: 10.6084/m9.figshare.19451226.v1
title: Additional file 2 of Heart failure in childhood cancer survivors—a systematic review protocol

description: Additional file 2. PRISMA-P 2015 Checklist.
DOI: 10.6084/m9.figshare.19090553.v1
title: HCC.tumor/normal.3k.RData

description: This is the example dataset used in the Commpath package tutorial. We downloaded the processed scRNA-seq data on hepatocellular carcinoma (HCC) samples from the paper of Sharma, et al., 2020, and then randomly selected the expression data of 3000 cells across the top 5000 highly variable genes from the tumor and normal tissues, respectively.
DOI: 10.6084/m9.figshare.19451253
title: Additional file 2 of Physical activity enhances the improvement of body mass index and metabolism by inulin: a multicenter randomized placebo-controlled trial performed in obese individuals

description: Additional file 2: Table 1. Physical activity performed by participants. Table 2. Baseline characteristics of participants. Table 3. Differences between M3 and baseline for ASV significantly regulated between groups. Table 4. Regulation of Bifidobacterium ASV between month 3 and baseline.
DOI: 10.6084/m9.figshare.19451253.v1
title: Additional file 2 of Physical activity enhances the improvement of body mass index and metabolism by inulin: a multicenter randomized placebo-controlled trial performed in obese individuals

description: Additional file 2: Table 1. Physical activity performed by participants. Table 2. Baseline characteristics of participants. Table 3. Differences between M3 and baseline for ASV significantly regulated between groups. Table 4. Regulation of Bifidobacterium ASV between month 3 and baseline.
DOI: 10.6084/m9.figshare.19451367
title: Additional file 1 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 1. Sequence list of 59 MsPLDs.
DOI: 10.6084/m9.figshare.19451367.v1
title: Additional file 1 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 1. Sequence list of 59 MsPLDs.
DOI: 10.6084/m9.figshare.19451373.v1
title: Additional file 3 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 3. List of 10 motifs with basic information.
DOI: 10.6084/m9.figshare.19451373
title: Additional file 3 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 3. List of 10 motifs with basic information.
DOI: 10.6084/m9.figshare.19451382
title: Additional file 5 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 5. List of synteny gene pairs and tandem duplication gene pairs of the MsPLD gene family.
DOI: 10.6084/m9.figshare.19451385
title: Additional file 6 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 6. Sequences of primers used in qRT-PCR analysis.
DOI: 10.6084/m9.figshare.19451382.v1
title: Additional file 5 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 5. List of synteny gene pairs and tandem duplication gene pairs of the MsPLD gene family.
DOI: 10.6084/m9.figshare.19451385.v1
title: Additional file 6 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 6. Sequences of primers used in qRT-PCR analysis.
DOI: 10.6084/m9.figshare.19451388
title: Additional file 7 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 7. List of synonymous and nonsynonymous substitutions of MsPLD gene pairs in alfalfa.
DOI: 10.6084/m9.figshare.19451388.v1
title: Additional file 7 of Genome-wide investigation of the PLD gene family in alfalfa (Medicago sativa L.): identification, analysis and expression

description: Additional file 7. List of synonymous and nonsynonymous substitutions of MsPLD gene pairs in alfalfa.
DOI: 10.6084/m9.figshare.19451446
title: Additional file 1 of Comparison of plasma levobupivacaine concentrations with and without epinephrine following erector spinae plane block for breast cancer surgery: a randomized controlled trial

description: Additional file1:
DOI: 10.6084/m9.figshare.19451446.v1
title: Additional file 1 of Comparison of plasma levobupivacaine concentrations with and without epinephrine following erector spinae plane block for breast cancer surgery: a randomized controlled trial

description: Additional file1:
DOI: 10.5281/zenodo.6395460
title: Miami KMZ data

description: KMZ files for Miami Beach Data processed is Sentinel-1 in Ascending mode, track 48 from 20150921 to 20211112
DOI: 10.5281/zenodo.6395452
title: Miami KMZ data

description: KMZ files for Miami Beach Data processed is Sentinel-1 in Ascending mode, track 48 from 20150921 to 20211112
DOI: 10.6084/m9.figshare.19451523
title: Additional file 9 of The autocrine loop of ALK receptor and ALKAL2 ligand is an actionable target in consensus molecular subtype 1 colon cancer

description: Additional file 9: Table S1.
DOI: 10.6084/m9.figshare.19451523.v1
title: Additional file 9 of The autocrine loop of ALK receptor and ALKAL2 ligand is an actionable target in consensus molecular subtype 1 colon cancer

description: Additional file 9: Table S1.
DOI: 10.6084/m9.figshare.19451580.v1
title: Additional file 7 of Lipidomic analysis identifies age-disease-related changes and potential new biomarkers in brain-derived extracellular vesicles from metachromatic leukodystrophy mice

description: Additional file 7. Lipids identified via MS/MS fragmentation in positive and negative ion modes.
DOI: 10.6084/m9.figshare.19451580
title: Additional file 7 of Lipidomic analysis identifies age-disease-related changes and potential new biomarkers in brain-derived extracellular vesicles from metachromatic leukodystrophy mice

description: Additional file 7. Lipids identified via MS/MS fragmentation in positive and negative ion modes.
DOI: 10.6084/m9.figshare.19451583.v1
title: Additional file 8 of Lipidomic analysis identifies age-disease-related changes and potential new biomarkers in brain-derived extracellular vesicles from metachromatic leukodystrophy mice

description: Additional file 8. Significant altered lipids identified via MS/MS fragmentation in positive and negative ion modes.
DOI: 10.6084/m9.figshare.19451583
title: Additional file 8 of Lipidomic analysis identifies age-disease-related changes and potential new biomarkers in brain-derived extracellular vesicles from metachromatic leukodystrophy mice

description: Additional file 8. Significant altered lipids identified via MS/MS fragmentation in positive and negative ion modes.
DOI: 10.6084/m9.figshare.19451620
title: Additional file 1 of Analysis of lncRNA sequences: FAM3D-AS1, LINC01230, LINC01315 and LINC01468 in endometrial cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.19451620.v1
title: Additional file 1 of Analysis of lncRNA sequences: FAM3D-AS1, LINC01230, LINC01315 and LINC01468 in endometrial cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.19451664
title: Additional file 1 of Predicting protein–protein interactions between banana and Fusarium oxysporum f. sp. cubense race 4 integrating sequence and domain homologous alignment and neural network verification

description: Additional file 1: Supplementary table 1. Predicted protein-protein interaction pairs between banana and Foc4.
DOI: 10.6084/m9.figshare.19451664.v1
title: Additional file 1 of Predicting protein–protein interactions between banana and Fusarium oxysporum f. sp. cubense race 4 integrating sequence and domain homologous alignment and neural network verification

description: Additional file 1: Supplementary table 1. Predicted protein-protein interaction pairs between banana and Foc4.
DOI: 10.6084/m9.figshare.19451667
title: Additional file 2 of Predicting protein–protein interactions between banana and Fusarium oxysporum f. sp. cubense race 4 integrating sequence and domain homologous alignment and neural network verification

description: Additional file 2: Supplementary table 2. The degrees of nodes.
DOI: 10.6084/m9.figshare.19451667.v1
title: Additional file 2 of Predicting protein–protein interactions between banana and Fusarium oxysporum f. sp. cubense race 4 integrating sequence and domain homologous alignment and neural network verification

description: Additional file 2: Supplementary table 2. The degrees of nodes.