cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12940873.v1
title: Additional file 5 of The relationships between three-axis accelerometer measures of physical activity and motor symptoms in patients with Parkinson’s disease: a single-center pilot study

description: Additional file 5: Table S2. Comparing state prediction (On, dyskinesia) using three-axis accelerometer measures (percentile) on a 30-min basis with ROC curve analysis in study II.
DOI: 10.6084/m9.figshare.12940870.v1
title: Additional file 4 of The relationships between three-axis accelerometer measures of physical activity and motor symptoms in patients with Parkinson’s disease: a single-center pilot study

description: Additional file 4: Table S1. All screening results in study I.
DOI: 10.6084/m9.figshare.13011878.v1
title: COVID-19 Mutipeptide vaccine data

description: Supplementary Table S1 the Nucleocapside phosphoprotein sequences retrieved from the NCBI database.<br><br>
DOI: 10.6084/m9.figshare.13011878
title: Data of COVID-19 Muti-peptide Vaccine Manuscript "A Multiple Peptides Vaccine against COVID-19 Designed from the Nucleocapsid phosphoprotein (N) and Spike Glycoprotein (S) via the Immunoinformatics Approach"

description: Supplementary Table S1 the Nucleocapside phosphoprotein sequences retrieved from the NCBI database.<br>Supplementary file S2 -TCELLS Peptides<br><br><br>
DOI: 10.6084/m9.figshare.13011878.v3
title: Data of COVID-19 Muti-peptide Vaccine Manuscript "A Multiple Peptides Vaccine against COVID-19 Designed from the Nucleocapsid phosphoprotein (N) and Spike Glycoprotein (S) via the Immunoinformatics Approach"

description: Supplementary Table S1 the Nucleocapside phosphoprotein sequences retrieved from the NCBI database.<br>Supplementary file S2 -TCELLS Peptides<br><br><br>
DOI: 10.6084/m9.figshare.13011878.v2
title: COVID-19 Mutipeptide vaccine data

description: Supplementary Table S1 the Nucleocapside phosphoprotein sequences retrieved from the NCBI database.<br>Supplementary file S2 -TCELLS Peptides<br><br><br>
DOI: 10.6084/m9.figshare.11600601
title: All-Unigene-Sequence.fa

description: This dataset is the unigene sequence of cnidium monnieri via de novo transcriptome.
DOI: 10.6084/m9.figshare.12764177
title: Information of the genes.xls

description: This dataset is the information of the genes of cnidium monnieri.
DOI: 10.6084/m9.figshare.12764177.v1
title: Information of the genes.xls

description: This dataset is the information of the genes of cnidium monnieri.
DOI: 10.5517/ccdc.csd.cc22373k
title: CCDC 1909727: Experimental Crystal Structure Determination

description: Related Article: Debojyoti Mukherjee, Rabindra Nath Manna, Paramita Saha, Ujjwal Mandal, Mainak Mitra|2021|J.Mol.Struct.|1223|129247|doi:10.1016/j.molstruc.2020.129247
DOI: 10.5517/ccdc.csd.cc24kl2d
title: CCDC 1983103: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Shanhe Zhou, Guangli Wang, Wuxin Hu, Abhinav Kumar, Mohd Muddassir|2021|J.Mol.Struct.|1223|129218|doi:10.1016/j.molstruc.2020.129218
DOI: 10.5517/ccdc.csd.cc24kl3f
title: CCDC 1983104: Experimental Crystal Structure Determination

description: Related Article: Jun Wang, Shanhe Zhou, Guangli Wang, Wuxin Hu, Abhinav Kumar, Mohd Muddassir|2021|J.Mol.Struct.|1223|129218|doi:10.1016/j.molstruc.2020.129218
DOI: 10.6084/m9.figshare.4787893
title: Combustion Mechanism Importer and Kinetic Models

description: Detailed kinetic models of combustion chemistry are typically published in "chemkin" form, without an unambiguous molecular description of the chemical species involved. This project created a tool, based on the open-source Reaction Mechanism Generator (RMG) software, to identify the species. The tool is in the RMG-Py folder, and requires the RMG-database folder to function. Also provided is a collection of kinetic models from the literature that have been at least partially "imported". These are in the RMG-models folder. Each model contains a "SMILES.txt" file listing SMILES strings of species that have been identified. The import.sh scripts show how to run the importer. Each of the three folders is a git repository, including full history. Work will continue on this project, so do look for updates, but this is a "snapshot". Version v1 corresponding to the end of the initial grant funding, version v2 corresponding to the end of a second funded project. The RMG-Py software is MIT licensed, and the identified molecular structures in the imported models are CC-BY.
DOI: 10.6084/m9.figshare.4787893.v1
title: Combustion Mechanism Importer and Kinetic Models

description: Detailed kinetic models of combustion chemistry are typically published in "chemkin" form, without an unambiguous molecular description of the chemical species involved. This project created a tool, based on the open-source Reaction Mechanism Generator (RMG) software, to identify the species. The tool is in the RMG-Py folder, and requires the RMG-database folder to function. Also provided is a collection of kinetic models from the literature that have been at least partially "imported". These are in the RMG-models folder. Each model contains a "SMILES.txt" file listing SMILES strings of species that have been identified. The import.sh scripts show how to run the importer. Each of the three folders is a git repository, including full history. Work will continue on this project, so do look for updates, but this is a "snapshot" corresponding to the end of the initial grant funding. The RMG-Py software is MIT licensed, and the identified molecular structures in the imported models are CC-BY.
DOI: 10.6084/m9.figshare.12462605
title: NGD.constructing.code

description: Key code for NGD website constructing are described
DOI: 10.6084/m9.figshare.12462605.v2
title: NGD constructing code

description: Key code for NGD website constructing are described
DOI: 10.5281/zenodo.3575391
title: OLGenie Supplementary Material

description: OLGenie is a tool for estimating natural selection to predict functional overlapping genes. Manuscript available at <em>Molecular Biology and Evolution</em>. Software and example data are freely available at https://github.com/chasewnelson/OLGenie.
description: https://github.com/chasewnelson/OLGenie
DOI: 10.5281/zenodo.3575390
title: OLGenie Supplementary Material

description: OLGenie is a tool for estimating natural selection to predict functional overlapping genes. Manuscript available at <em>Molecular Biology and Evolution</em>. Software and example data are freely available at https://github.com/chasewnelson/OLGenie.
description: https://github.com/chasewnelson/OLGenie
DOI: 10.5517/ccdc.csd.cc259vjw
title: CCDC 2005468: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vkx
title: CCDC 2005469: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vly
title: CCDC 2005470: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vmz
title: CCDC 2005471: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vn0
title: CCDC 2005472: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vp1
title: CCDC 2005473: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vq2
title: CCDC 2005474: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vr3
title: CCDC 2005475: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.5517/ccdc.csd.cc259vs4
title: CCDC 2005476: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Maheswara Rao Addepalli, Antonin Lyčka, Steven van Terwingen, Ulli Englert|2020|J.Organomet.Chem.|927|121522|doi:10.1016/j.jorganchem.2020.121522
DOI: 10.17910/b7.759
title: Play Project: Solitary and Dyadic Pilot

description: Pilot lab data collections of 13-23 month olds during solitary and dyadic play.
DOI: 10.6084/m9.figshare.13011908
title: data set example

description: text here
DOI: 10.6084/m9.figshare.13011908.v1
title: data set example

description: text here
DOI: 10.5281/zenodo.4052761
title: THE FIRST INTERNATIONAL SCIENTIFIC – PRACTICAL VIRTUAL CONFERENCE SCIENCE AND TECHNOLOGY IN MODERN SOCIETY: PROBLEMS, PROGNOSES AND SOLUTIONS

description: THE FIRST INTERNATIONAL SCIENTIFIC – PRACTICAL VIRTUAL CONFERENCE SCIENCE AND TECHNOLOGY IN MODERN SOCIETY: PROBLEMS, PROGNOSES AND SOLUTIONS. AZERBAİJAN-TURKEY PAPERS AND ARTICLES TURKEY, İZMİR SEPTEMBER 26-27, 2020
DOI: 10.5281/zenodo.4028316
title: THE FIRST INTERNATIONAL SCIENTIFIC – PRACTICAL VIRTUAL CONFERENCE SCIENCE AND TECHNOLOGY IN MODERN SOCIETY: PROBLEMS, PROGNOSES AND SOLUTIONS

description: THE FIRST INTERNATIONAL SCIENTIFIC – PRACTICAL VIRTUAL CONFERENCE SCIENCE AND TECHNOLOGY IN MODERN SOCIETY: PROBLEMS, PROGNOSES AND SOLUTIONS. AZERBAİJAN-TURKEY PAPERS AND ARTICLES TURKEY, İZMİR SEPTEMBER 26-27, 2020
DOI: 10.34740/kaggle/dsv/1519147
title: Summiteers of Mt. Everest till December 2017
DOI: 10.17632/ryzzk9f2tb.1
title: Ying Liu

description: This is the data from experts to answer round 2 and round 3 questionnaire in e-delphi progress
DOI: 10.17632/j6k3p993zr.1
title: Data on early assessment of knowledge, attitudes, and behavioral responses to COVID-19 among Connecticut residents in the U.S.
DOI: 10.17632/ytwt72jwx6.1
title: Topographic data_xjf

description: Topographic data_xjf
DOI: 10.17632/4g3wyn2d8j.1
title: RCT Cognitive stimulation and biomarkers

description: Clinical trial with Oficina da Lembranca, a cognitive stimulation with computers, and biomarkers of neuroplasticity and neurodegeneration concentration.
DOI: 10.17632/bp9m57r6rg.1
title: Datasets for DEMATEL-FCA Application on Modelling Barriers to Sustainable Urban Water Management: A Case in Metro Cebu, Philippines

description: A study that employs MCDM techniques to model the interdependency of Sustainable Urban Water Management (SUWM) barriers uses the Fuzzy DEMATEL in conjunction with the Fuzzy C-means Algorithm. The methodology was based on expert judgment and the datasets are presented herewith.
DOI: 10.17632/wd959kzvxh.5
title: Data for: Sources, abundances, size and distribution of microplastic in marine sediments - a Critical Review

description: Microplastics are prevalent in marine environments. A scientometric analysis of 364 data points provides the basis for sources, abundances, and spatial distribution of microplastic in marine sediments. This review aims to describe the state-of-the-art study of microplastic and marine pollution between 2010 and 2020 using Harzing’s Publish or Perish. 364 journal articles were analyzed through the combination of scientometric analysis and critical reviews. Publication, keywords analysis, and bibliographical data and evolution of microplastic were visualized using VOSviewer. We identified microplastics in the marine environment on 308 different sites by the authors of 67 countries. Four research concepts and corresponding challenges of microplastic in the marine environment.
DOI: 10.17632/xnwpydz468.1
title: Data for Learning environment and Business games: the perception of the students

description: Dados sobre a percepção dos discentes no uso da estratégia de ensino jogos de empresas em um ambiente virtual de aprendizagem de duas universidades de Santa Catarina no Brasil.
DOI: 10.17632/htdwwx3ftm.1
title: tetsts

description: jfd;kfvbkfdjbnv
DOI: 10.34740/kaggle/ds/895249
title: UNICEF Immunization Data
DOI: 10.34740/kaggle/dsv/1519214
title: Project Resources
DOI: 10.5517/ccdc.csd.cc25n03z
title: CCDC 2015220: Experimental Crystal Structure Determination

description: Related Article: Anup Rana, B. Sathish Kumar, Pradeepta K. Panda|2020|Org.Lett.|22|7175|doi:10.1021/acs.orglett.0c02494
DOI: 10.5517/ccdc.csd.cc25n040
title: CCDC 2015221: Experimental Crystal Structure Determination

description: Related Article: Anup Rana, B. Sathish Kumar, Pradeepta K. Panda|2020|Org.Lett.|22|7175|doi:10.1021/acs.orglett.0c02494
DOI: 10.5517/ccdc.csd.cc25p9kr
title: CCDC 2016474: Experimental Crystal Structure Determination

description: Related Article: Larissa A. Casper, Lukas Wursthorn, Marcel Geppert, Patrick Roser, Michael Linseis, Malte Drescher, Rainer F. Winter|2020|Organometallics|39|3275|doi:10.1021/acs.organomet.0c00486
DOI: 10.5517/ccdc.csd.cc25pbnw
title: CCDC 2016508: Experimental Crystal Structure Determination

description: Related Article: Larissa A. Casper, Lukas Wursthorn, Marcel Geppert, Patrick Roser, Michael Linseis, Malte Drescher, Rainer F. Winter|2020|Organometallics|39|3275|doi:10.1021/acs.organomet.0c00486
DOI: 10.5517/ccdc.csd.cc25pzwr
title: CCDC 2017135: Experimental Crystal Structure Determination

description: Related Article: Sopan P. Khandare, Polimera Obula Reddy, Kavirayani R. Prasad|2020|Org.Lett.|22|7273|doi:10.1021/acs.orglett.0c02608
DOI: 10.5519/qd.7xsx3h9g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12722 records)
DOI: 10.21227/gy0b-yv52
title: Transcranial Doppler Ultrasound Database (Philips CX50 ultrasound system)

description: Transcranial Doppler (TCD) echo data was recorded from healthy adults and neurocritical care adult patients. The insonated cerebral vessels were the middle cerebral artery (MCA) and the internal carotid artery (ICA). The ultrasound system used in this study was the Philips CX50.
DOI: 10.5281/zenodo.4046669
title: Data for "Prima facie evidence of the instant impact of a lightning stroke on the lower ionosphere"

description: Here we presented the RAW EM-Field data (dE/dt, B1, B2) of sferics (All triggered RS sferics ranging from 60 km through 800 km to GZ station) which has been analyzed in a manuscript entitled "Prima facie evidence of the instant impact of a lightning stroke on the lower ionosphere". The data supports the aforementioned manuscript and can be used freely for scientific purposes after a request is made to author Mingli Chen.
DOI: 10.5281/zenodo.4052796
title: Non realizable degree sequences of dual graphs on surfaces

description: A thorough set on non-realizable degree sequences of dual graphs on surfaces for number of edges up to (including) 7. Source code of the implemented algorithm is included.
DOI: 10.15156/bio/sh0888204.09fu
title: SH0888204.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888205.09fu
title: SH0888205.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888206.09fu
title: SH0888206.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888207.09fu
title: SH0888207.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888208.09fu
title: SH0888208.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888209.09fu
title: SH0888209.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0888210.09fu
title: SH0888210.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.