cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gy69y
title: CCDC 2292180: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|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.cc2gy6bz
title: CCDC 2292181: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|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.cc2gz81s
title: CCDC 2293195: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Gudrun Silvennoinen, Kristiina Wähälä|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.cc2gzljl
title: CCDC 2293520: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Nora J. Debraise, Kristiina Wähälä|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.cc2gzscm
title: CCDC 2293701: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|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.cc2gzsdn
title: CCDC 2293702: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|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: 10.7936/6rxs-103646
title: A Global Catalog of Deformed Volcanoes on Venus

description: Gravitational instabilities can develop at volcanoes of any size, in any geologic setting and can lead to various types of volcano deformation, ranging from small-scale landslides on the flanks of the edifice, to large, deep-seated sector collapses. As volcanoes grow, they impose an increasing load on the underlying basement and lithosphere resulting in styles of gravitational deformation wherein the edifice sags under its own weight or spreads outward. In this study, we utilize our previously developed global catalog of volcanoes on Venus (Hahn & Byrne, 2023), to analyze a subset of edifices that appear to have undergone gravitational deformation. We identify 162 volcanoes displaying morphological evidence of gravitational deformation, and classify them into four main categories based on associated deformational structures: landsliding, sector collapse, sagging, and spreading. Through structural mapping and spatial analysis, coupled with comparative studies, we aim to quantify the various types and potential drivers of volcano gravitational collapse on Venus, shedding light on the processes of volcano evolution and collapse on the second planet.
DOI: 10.6084/m9.figshare.22911887
title: <strong>Serum interleukin-6 and zinc levels are associated with severity in COVID-19 patients from Lima, Peru</strong>

description: <strong>ABSTRACT</strong> The individual’s immune system can determine the progress of SARS-CoV2 infection and lethality. The modulation of the inflammatory response through various molecules, such as cytokines and trace elements, is crucial during the disease. In this context, the objective of the present study was to determine the serum levels of IL-6 and zinc and their association with the severity of the disease in patients with COVID-19 from Lima, Peru. Four groups of patients were analyzed. Hospitalized patients were divided into two groups: 26 admitted to ICU and 26 who did not require ICU. The other two groups included 36 patients who did not require hospitalization, 24 of which belonged to the outpatient group and 12 to the control group. Sixty-four and eight percent (64.8%) of the patients were male. The lowest IL-6 values were obtained in the outpatient group (2pg/mL) and the highest values in the ICU group (168.5 pg/mL). On the other hand, the highest zinc values were also obtained in the UCI group (3402.5 µg/dL). Keyword: SARS-CoV-2, Zinc. IL-6, cytokines, pandemic.
DOI: 10.6084/m9.figshare.22911887.v1
title: <strong>Serum interleukin-6 and zinc levels are associated with severity in COVID-19 patients from Lima, Peru</strong>

description: <strong>ABSTRACT</strong> The individual’s immune system can determine the progress of SARS-CoV2 infection and lethality. The modulation of the inflammatory response through various molecules, such as cytokines and trace elements, is crucial during the disease. In this context, the objective of the present study was to determine the serum levels of IL-6 and zinc and their association with the severity of the disease in patients with COVID-19 from Lima, Peru. Four groups of patients were analyzed. Hospitalized patients were divided into two groups: 26 admitted to ICU and 26 who did not require ICU. The other two groups included 36 patients who did not require hospitalization, 24 of which belonged to the outpatient group and 12 to the control group. Sixty-four and eight percent (64.8%) of the patients were male. The lowest IL-6 values were obtained in the outpatient group (2pg/mL) and the highest values in the ICU group (168.5 pg/mL). On the other hand, the highest zinc values were also obtained in the UCI group (3402.5 µg/dL). Keyword: SARS-CoV-2, Zinc. IL-6, cytokines, pandemic.
DOI: 10.5517/ccdc.csd.cc2h5281
title: CCDC 2298782: Experimental Crystal Structure Determination

description: Related Article: Mingze Meng|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: 10.6084/m9.figshare.24233275
title: ucdavis-icdm19-git-repo-forked.tgz

description: Adaptation of https://github.com/shrezaei/Semi-supervised-Learning-QUIC- originally used for the paper How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets<br>https://doi.org/10.48550/arXiv.1812.09761Used for the paperReplication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation<br>Internet Traffic Measurement (IMC) 2023<br>DOI: 10.1145/3618257.3624820<br><br>
DOI: 10.6084/m9.figshare.24233275.v1
title: ucdavis-icdm19-git-repo-forked.tgz

description: Adaptation of https://github.com/shrezaei/Semi-supervised-Learning-QUIC- originally used for the paper How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets<br>https://doi.org/10.48550/arXiv.1812.09761Used for the paperReplication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation<br>Internet Traffic Measurement (IMC) 2023<br>DOI: 10.1145/3618257.3624820<br><br>
DOI: 10.5281/zenodo.8400634
title: Maladeta 01-10-2023

description: Maladeta 01-10-2023
DOI: 10.5281/zenodo.8400633
title: Maladeta 01-10-2023

description: Maladeta 01-10-2023
DOI: 10.5281/zenodo.8400673
title: Exogenous foods that activate the NRF2 protein: Systematic review

description: <strong>Background: </strong>The activation of the NRF2 signaling pathway, whether through natural compounds, diet, or supplements, plays a crucial role in protecting against oxidative stress and promoting health in various aspects. The objective of this research was to identify studies on exogenous foods that activate the NRF2 protein in the scientific literature. <strong>Method: </strong>A comprehensive literature review was conducted with the aim of identifying manuscripts related to the activation of NRF2 with exogenous foods and their benefits within the human body. This search was carried out through a systematic review of articles in three languages: English and Spanish, using the MEDLINE, MUBMEB, SCIELO, and SCOPUS repositories. Inclusion criteria focused on foods that activate NRF2 and potential benefits, while exclusion criteria encompassed articles that did not discuss activation, unrelated topics, research in languages other than those specified, and those that did not specifically address the study's objective. The search and article filters were implemented during the period from January to February 2023. To minimize biases, filters were applied in multiple stages, beginning with title search and selection, followed by abstract review, and finally, reading the remaining articles to analyze the information relevant to the research. <strong>Results: </strong>A total of 26 articles were analyzed, which discussed the adaptive mechanism of NRF2 and its role in hormone dose response, the effects of certain foods, health benefits associated with NRF2 activation, antioxidant, and anti-inflammatory effects, altered NRF2 association with aging, and neurodegenerative diseases. <strong>Conclusion: </strong>The studies support the notion that NRF2 activation plays a fundamental role in promoting health in various spheres, underscoring the relevance of factors such as diet, natural components, and antioxidant supplementation in defending against oxidative stress and its implications for overall well-being. For future research on this topic, it is important to analyze how the population stands regarding the consumption of exogenous foods that activate NRF2, to understand both the consumption, quantity, and frequency of certain foods and whether they are doing so correctly.
DOI: 10.5281/zenodo.8400672
title: Exogenous foods that activate the NRF2 protein: Systematic review

description: <strong>Background: </strong>The activation of the NRF2 signaling pathway, whether through natural compounds, diet, or supplements, plays a crucial role in protecting against oxidative stress and promoting health in various aspects. The objective of this research was to identify studies on exogenous foods that activate the NRF2 protein in the scientific literature. <strong>Method: </strong>A comprehensive literature review was conducted with the aim of identifying manuscripts related to the activation of NRF2 with exogenous foods and their benefits within the human body. This search was carried out through a systematic review of articles in three languages: English and Spanish, using the MEDLINE, MUBMEB, SCIELO, and SCOPUS repositories. Inclusion criteria focused on foods that activate NRF2 and potential benefits, while exclusion criteria encompassed articles that did not discuss activation, unrelated topics, research in languages other than those specified, and those that did not specifically address the study's objective. The search and article filters were implemented during the period from January to February 2023. To minimize biases, filters were applied in multiple stages, beginning with title search and selection, followed by abstract review, and finally, reading the remaining articles to analyze the information relevant to the research. <strong>Results: </strong>A total of 26 articles were analyzed, which discussed the adaptive mechanism of NRF2 and its role in hormone dose response, the effects of certain foods, health benefits associated with NRF2 activation, antioxidant, and anti-inflammatory effects, altered NRF2 association with aging, and neurodegenerative diseases. <strong>Conclusion: </strong>The studies support the notion that NRF2 activation plays a fundamental role in promoting health in various spheres, underscoring the relevance of factors such as diet, natural components, and antioxidant supplementation in defending against oxidative stress and its implications for overall well-being. For future research on this topic, it is important to analyze how the population stands regarding the consumption of exogenous foods that activate NRF2, to understand both the consumption, quantity, and frequency of certain foods and whether they are doing so correctly.
DOI: 10.5281/zenodo.8400682
title: High-Throughput Density Functional Theory Screening of Double Transition Metal MXene Precursors

description: This dataset contains density functional theory results on a set of double-transition metal MXene precursors
DOI: 10.5281/zenodo.8400681
title: High-Throughput Density Functional Theory Screening of Double Transition Metal MXene Precursors

description: This dataset contains density functional theory results on a set of double-transition metal MXene precursors
DOI: 10.6084/m9.figshare.24233296
title: Estrutura Comercial do Estado do Pará (2017-2018)

description: A partir de dados agregados de registros fiscais e outros documentos disponibilizados pela Secretaria de Estado da Fazenda (SEFA) do Pará, preservando os sigilos dos contribuintes, foram produzidas informações estimadas sobre a estrutura de abastecimento e vendas do estado. Essas informações podem revelar potenciais econômicos a serem explorados no estado.O objetivo desta base de dados é auxiliar os agentes públicos, setores privados, e pesquisadores a compreender melhor o cenário local e servir de subsidio para formulação de politicas publicas para o estado.
DOI: 10.5281/zenodo.8316779
title: Real and Synthetic Dataset for Active Shooter Situations

description: This dataset includes annotations for shooters (both person and visible portion of the gun) and guns in a primarily indoor setting. The synthetic data was generated using Unreal Engine 4 and Unreal Engine 5 and contains both the default semi-realistic textures of the environments and segmentation masks as a form of domain randomization. The textured synthetic data was further augmented with camera sensor effects as another domain adaptation technique. The folders use the following notation: T denotes textured synthetic, M denotes masked synthetic, R denotes real, and the prefix A denotes augmented. We also include some annotated videos for evaluating tracking performance.
DOI: 10.5281/zenodo.8316778
title: Real and Synthetic Dataset for Active Shooter Situations

description: This dataset includes annotations for shooters (both person and visible portion of the gun) and guns in a primarily indoor setting. The synthetic data was generated using Unreal Engine 4 and Unreal Engine 5 and contains both the default semi-realistic textures of the environments and segmentation masks as a form of domain randomization. The textured synthetic data was further augmented with camera sensor effects as another domain adaptation technique. The folders use the following notation: T denotes textured synthetic, M denotes masked synthetic, R denotes real, and the prefix A denotes augmented. We also include some annotated videos for evaluating tracking performance.
DOI: 10.21223/78cbio/qxdsbi
title: 02_Fieldbook_TMIN200310_PAHUA.txt

description: :unav
DOI: 10.21223/78cbio/6inrbo
title: 03_Material_list.txt

description: :unav
DOI: 10.21223/78cbio/cidjs8
title: TMIN200310_PAHUA_Field.xls

description: :unav
DOI: 10.21223/78cbio/moajri
title: PTYL200310_PAHUA_Field.xls

description: :unav
DOI: 10.21223/78cbio/zmqavo
title: 01_Fieldbook_PTYL200310_PAHUA_Field.txt

description: :unav
DOI: 10.21223/78cbio/k7fbzu
title: 04_Datadictionary.txt

description: :unav
DOI: 10.34740/kaggle/dsv/6500031
title: University Chatbot Dataset
DOI: 10.34740/kaggle/dsv/6596647
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.7837274
title: Article dataset: Taxonomy of Open Science: revised and expanded

description: Conjunto de dados do artigo: <strong>Taxonomia da Ciência Aberta: revisada e ampliada </strong>
description: The full report of the study that generated this taxonomy of open science is published in the journal Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, available at: DOI: https://doi.org/10.5007/1518-2924.2023.e91712
DOI: 10.5281/zenodo.7837273
title: Article dataset: Taxonomy of Open Science: revised and expanded

description: Conjunto de dados do artigo: <strong>Taxonomia da Ciência Aberta: revisada e ampliada </strong>
description: The full report of the study that generated this taxonomy of open science is published in the journal Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, available at: DOI: https://doi.org/10.5007/1518-2924.2023.e91712
DOI: 10.6084/m9.figshare.24233386
title: ChatGPT-4 answers to JAMA Ophthalmology Clinical Challenges

description: This is a list of ChatGPT-4's answers to the 'What Would You Do Next' question (column C) as well as if the model correctly determined the diagnosis on the first attempt (column D). If the model was not able to get the diagnosis right on the first attempt, we noted the wrong diagnosis it gave in column E.
DOI: 10.34740/kaggle/dsv/6596540
title: national nutricional
DOI: 10.6084/m9.figshare.23538114
title: README.txt

description: Description of data collection for the paperReplication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation<br>Internet Traffic Measurement (IMC) 2023<br>DOI: 10.1145/3618257.3624820
DOI: 10.6084/m9.figshare.23538114.v3
title: README.txt

description: Description of data collection for the paperReplication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation<br>Internet Traffic Measurement (IMC) 2023<br>DOI: 10.1145/3618257.3624820
DOI: 10.21223/zoydha/plpllb
title: 03_Datadictionary.txt

description: :unav
DOI: 10.21223/zoydha/7fluyc
title: 01_Fieldbook_PTYL200409_NAZCA.txt

description: :unav
DOI: 10.21223/zoydha/aszd02
title: PTYL200409_NAZCA.xls

description: :unav
DOI: 10.21223/zoydha/cuwanx
title: 02_Material_list.txt

description: :unav
DOI: 10.5281/zenodo.8400791
title: A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil Dataset

description: This dataset contains the reference solutions used for training the two neural networks in 1-, 2- and 3-D cases for the article:"A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil" by Zeyuan Song and Zheyu Jiang, submitted to the journal Water Resources Research. This dataset which describes the relationship between the pressure head and number of particles used to train two MLPs in D-GRW based solvers consists of three files, i.e., 1-, 2- and 3-D case study. There are two parts, original reference solutions and reference solutions, corresponding to the original solutions generated by coarse mesh solvers and solutions after data augmentation process, respectively.The dataset is generated by GRW based solvers and simulation results (e.g., Celia's finite difference method). Original reference solutions admit GRW proportionality assumption. We initialize the number of particles by multiplying the initial condition and 1E10.
DOI: 10.5281/zenodo.8400790
title: A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil Dataset

description: This dataset contains the reference solutions used for training the two neural networks in 1-, 2- and 3-D cases for the article:"A Data-facilitated Numerical Method for Richards Equation to Model Water Flow Dynamics in Soil" by Zeyuan Song and Zheyu Jiang, submitted to the journal Water Resources Research. This dataset which describes the relationship between the pressure head and number of particles used to train two MLPs in D-GRW based solvers consists of three files, i.e., 1-, 2- and 3-D case study. There are two parts, original reference solutions and reference solutions, corresponding to the original solutions generated by coarse mesh solvers and solutions after data augmentation process, respectively.The dataset is generated by GRW based solvers and simulation results (e.g., Celia's finite difference method). Original reference solutions admit GRW proportionality assumption. We initialize the number of particles by multiplying the initial condition and 1E10.
DOI: 10.6084/m9.figshare.24228661
title: Simulations of wave transformation over idealized concave and convex near-horizontal platforms using the fully nonlinear numerical wave model FUNWAVE-TVD V3.6

description: This file contains simulations of breaking and non-breaking waves
DOI: 10.6084/m9.figshare.24228661.v1
title: Simulations of wave transformation over idealized concave and convex near-horizontal platforms using the fully nonlinear numerical wave model FUNWAVE-TVD V3.6

description: This file contains simulations of breaking and non-breaking waves