cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh003609.07fu
title: SH003609.07FU

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/sh003610.07fu
title: SH003610.07FU

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/sh003611.07fu
title: SH003611.07FU

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/sh003612.07fu
title: SH003612.07FU

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/sh003613.07fu
title: SH003613.07FU

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: 10.6084/m9.figshare.22259281
title: Pertpy Distances Example Data

description: Dataset produces with code here: https://github.com/theislab/pertpy-datasets <br> Original data from: Dixit A, Parnas O, Li B, Chen J, Fulco CP, Jerby-Arnon L, Marjanovic ND, Dionne D, Burks T, Raychowdhury R, Adamson B, Norman TM, Lander ES, Weissman JS, Friedman N, Regev A. Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens. Cell. 2016 Dec 15;167(7):1853-1866.e17. doi: 10.1016/j.cell.2016.11.038. PMID: 27984732; PMCID: PMC5181115.
DOI: 10.6084/m9.figshare.22256110
title: Fregoli Syndrome A Systematic Review of Case Reports and Case Series​.pdf

description: A systematic search was performed on PubMed, Biblioteca Virtual de Salud, Science Direct, World Wide Science, SCIELO and DOJA, taking into consideration only case reports and case series studies for Fregoli Syndrome in English, Spanish and Portuguese published up to December 31h 2022. We follow the PRISMA methodology and we used RAYYAN web tool to select the right items for our searchand we found the Fregoli syndrome is a delusional disorder, which occurs more in adults, most cases correspond to both men and women in equal proportion, no age of onset has been established, therefore, it can appear at any stage of life. In most cases it usually occurs in association with other delusional disorders such as Cotard's syndrome, Capgras, Erotomania, Intermetamorphosis and subjective doubles, although isolated cases have also been described with schizophrenia. The pharmacological treatment in most cases includes the use of antipsychotics such as chlorpromazine, risperidone and in very few cases the use of cognitive-behavioral psychotherapy.<br>
DOI: 10.6084/m9.figshare.22256110.v1
title: Fregoli Syndrome A Systematic Review of Case Reports and Case Series​.pdf

description: A systematic search was performed on PubMed, Biblioteca Virtual de Salud, Science Direct, World Wide Science, SCIELO and DOJA, taking into consideration only case reports and case series studies for Fregoli Syndrome in English, Spanish and Portuguese published up to December 31h 2022. We follow the PRISMA methodology and we used RAYYAN web tool to select the right items for our searchand we found the Fregoli syndrome is a delusional disorder, which occurs more in adults, most cases correspond to both men and women in equal proportion, no age of onset has been established, therefore, it can appear at any stage of life. In most cases it usually occurs in association with other delusional disorders such as Cotard's syndrome, Capgras, Erotomania, Intermetamorphosis and subjective doubles, although isolated cases have also been described with schizophrenia. The pharmacological treatment in most cases includes the use of antipsychotics such as chlorpromazine, risperidone and in very few cases the use of cognitive-behavioral psychotherapy.<br>
DOI: 10.6084/m9.figshare.22259170
title: CHORD LENGTH DATA.xlsx

description: chord length -morphometry of thoracic pedicle data
DOI: 10.6084/m9.figshare.22259170.v1
title: CHORD LENGTH DATA.xlsx

description: chord length -morphometry of thoracic pedicle data
DOI: 10.5281/zenodo.7725685
title: Matériel électronique supplémentaire associé au texte "Conceptions de l'autorité des enseignants en formation au secondaire - Une combinaison de dimensions internes et externes à la relation enseignant-élève(s)"

description: Tableau supplémentaire. Grille d’analyse des conceptions des enseignant·e·s en formation sur l’autorité. Découpages des 66 discours écrits en unités de signification par trois juges au cours d’une séance commune.
DOI: 10.5281/zenodo.7725684
title: Matériel électronique supplémentaire associé au texte "Conceptions de l'autorité des enseignants en formation au secondaire - Une combinaison de dimensions internes et externes à la relation enseignant-élève(s)"

description: Tableau supplémentaire. Grille d’analyse des conceptions des enseignant·e·s en formation sur l’autorité. Découpages des 66 discours écrits en unités de signification par trois juges au cours d’une séance commune.
DOI: 10.6084/m9.figshare.20579541
title: A new kinematic dataset of lower limbs action for balance testing

description: Balance is an essential factor in skiing training. Therefore, we aim to establish a kinematics dataset of balance test actions extracted from skiers to help quantifying a skier’s balance ability. Perception Neuron Studio (PNS) motion capture device is used in present. The dataset contains a total of 20 subjects’ data (10 male) of the parsed rotation and sensor node, which is collected at a 100 Hz sampling frequency. After analysis, we hope that this dataset will contribute to multiple fields of cross-technology integration in physical training and functional testing, including big-data analysis, sports equipment design, computer vision, and sports biomechanical analysis.
DOI: 10.34740/kaggle/dsv/5152678
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7618843
title: Matrix of minimum distance between toponyms (rivers and settlements/towns) in Poland

description: The matrix of distances between 205 rivers and 30,700 towns and villages in Poland published in CSV format. More details in the paper: R.Szczepanek, 2023, A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Marks Text Classification, Water.
DOI: 10.5281/zenodo.7618842
title: Matrix of minimum distance between toponyms (rivers and settlements/towns) in Poland

description: The matrix of distances between 205 rivers and 30,700 towns and villages in Poland published in CSV format. More details in the paper: R.Szczepanek, 2023, A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Marks Text Classification, Water.
DOI: 10.5281/zenodo.7725769
title: Weed surveys in Oilseed rape fields in the LTSER Zone Atelier Plaine & Val de Sèvre

description: Dataset used in Berquer, A.; Martin, O.; Gaba, S. Landscape Is the Main Driver of Weed Assemblages in Field Margins but Is Outperformed by Crop Competition in Field Cores. Plants 2021, 10, 2131. https://doi.org/10.3390/plants10102131 Because there personnal and sensitive data, agricultural practices data are not given. Please contact Sabrina Gaba or Vincent Bretagnolle if you are interested in a collaborative project.
description: {"references": ["Berquer, A.; Martin, O.; Gaba, S. Landscape Is the Main Driver of Weed Assemblages in Field Margins but Is Outperformed by Crop Competition in Field Cores. Plants 2021, 10, 2131. https:// doi.org/10.3390/plants10102131"]}
DOI: 10.5281/zenodo.7725768
title: Weed surveys in Oilseed rape fields in the LTSER Zone Atelier Plaine & Val de Sèvre

description: Dataset used in Berquer, A.; Martin, O.; Gaba, S. Landscape Is the Main Driver of Weed Assemblages in Field Margins but Is Outperformed by Crop Competition in Field Cores. Plants 2021, 10, 2131. https://doi.org/10.3390/plants10102131 Because there personnal and sensitive data, agricultural practices data are not given. Please contact Sabrina Gaba or Vincent Bretagnolle if you are interested in a collaborative project.
description: {"references": ["Berquer, A.; Martin, O.; Gaba, S. Landscape Is the Main Driver of Weed Assemblages in Field Margins but Is Outperformed by Crop Competition in Field Cores. Plants 2021, 10, 2131. https:// doi.org/10.3390/plants10102131"]}
DOI: 10.6084/m9.figshare.22259311
title: ENCODE_ChIP_peak_bed

description: ChIp-seq peak, in bed format，from ENCODE
DOI: 10.5517/ccdc.csd.cc2bptlg
title: CCDC 2165926: Experimental Crystal Structure Determination

description: Related Article: Anton V. Shukaev, Elizaveta V. Ermakova, Yuanyuan Fang, Karl M. Kadish, Sergey E. Nefedov, Victor A. Tafeenko, Julien Michalak, Alla Bessmertnykh-Lemeune|2023|Inorg.Chem.|62|3431|doi:10.1021/acs.inorgchem.2c03466
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.cc2dddlt
title: CCDC 2216456: Experimental Crystal Structure Determination

description: Related Article: Fumiya Kobayashi, Teruya Hiramatsu, Keigo Sueyasu, Makoto Tadokoro|2023|Cryst.Growth Des.|23|1633|doi:10.1021/acs.cgd.2c01243
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.14935309
title: Barriers to electronic procurement adoption in the construction industry: a systematic review and interrelationships

description: Many studies have explored numerous barriers to e-procurement adoption in the construction industry. However, a comprehensive review of literature to reveal the interconnectivity among the barriers is still lacking. This study aims to conduct a systematic review and to reveal the relationships among e-procurement barriers in literature. Through a systematic review technique, 61 relevant papers were extracted. Thirty-four barriers were identified and categorized into organizational, technological legal and cultural barriers. Further, network analysis was employed to depict the complex interrelationships among the barriers. Although the barriers related to change resistance and lack of trust were prominent and highly connected, there exist other significant connections among the barriers to e-procurement adoption. The study contributes to e-procurement body of knowledge by exploring the complex interrelationships among e-procurement barriers. Further, this study offers practitioners a guiding frame in the development of effective strategies that mitigate e-procurement barriers and relationships in the construction industry.
DOI: 10.6084/m9.figshare.14935309.v1
title: Barriers to electronic procurement adoption in the construction industry: a systematic review and interrelationships

description: Many studies have explored numerous barriers to e-procurement adoption in the construction industry. However, a comprehensive review of literature to reveal the interconnectivity among the barriers is still lacking. This study aims to conduct a systematic review and to reveal the relationships among e-procurement barriers in literature. Through a systematic review technique, 61 relevant papers were extracted. Thirty-four barriers were identified and categorized into organizational, technological legal and cultural barriers. Further, network analysis was employed to depict the complex interrelationships among the barriers. Although the barriers related to change resistance and lack of trust were prominent and highly connected, there exist other significant connections among the barriers to e-procurement adoption. The study contributes to e-procurement body of knowledge by exploring the complex interrelationships among e-procurement barriers. Further, this study offers practitioners a guiding frame in the development of effective strategies that mitigate e-procurement barriers and relationships in the construction industry.
DOI: 10.5281/zenodo.7725688
title: Improve dynamical climate prediction with machine learning

description: This is the data for the paper "Improve dynamical climate prediction with machine learning".
DOI: 10.6084/m9.figshare.22189276.v2
title: Glacial-interglacial circulation and climatic changes in the South Indian Ocean (Kerguelen Plateau region) recorded by detrital and biogenic magnetites

description: Magnetic susceptibility, anhysteretic remanent magnetization, the ratio of anhysteretic remanent magnetization and magnetic susceptibility, saturation magnetization, and saturation isothermal remanent magnetization obtained for the MD11-3353 core over the past 150 kyrs.
DOI: 10.34740/kaggle/ds/2994099
title: Visionary_Leadership
DOI: 10.6084/m9.figshare.22259416
title: Postdoc full supplementary materials

description: Postdoc full supplementary materials
DOI: 10.6084/m9.figshare.22259416.v1
title: Postdoc full supplementary materials

description: Postdoc full supplementary materials
DOI: 10.5281/zenodo.7725894
title: amazona_dufresniana_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7725893
title: amazona_dufresniana_decontaminated_gx.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2dg6hl
title: CCDC 2218189: Experimental Crystal Structure Determination

description: Related Article: Dibya Jyoti Mondal, Neelabhro Mukherjee, Sanjit Konar|2023|Cryst.Growth Des.|23|1832|doi:10.1021/acs.cgd.2c01328
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.cc2dg6lp
title: CCDC 2218192: Experimental Crystal Structure Determination

description: Related Article: Dibya Jyoti Mondal, Neelabhro Mukherjee, Sanjit Konar|2023|Cryst.Growth Des.|23|1832|doi:10.1021/acs.cgd.2c01328
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.cc2f1y4l
title: CCDC 2236189: Experimental Crystal Structure Determination

description: Related Article: Wen-Feng Deng, Yu-Xia Li, Yan-Xin Zhao, Jie-Sheng Hu, Zi-Shuo Yao, Jun Tao|2023|J.Am.Chem.Soc.|145|5545|doi:10.1021/jacs.3c00634
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.cc2f1y5m
title: CCDC 2236190: Experimental Crystal Structure Determination

description: Related Article: Wen-Feng Deng, Yu-Xia Li, Yan-Xin Zhao, Jie-Sheng Hu, Zi-Shuo Yao, Jun Tao|2023|J.Am.Chem.Soc.|145|5545|doi:10.1021/jacs.3c00634
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.cc2f1y6n
title: CCDC 2236191: Experimental Crystal Structure Determination

description: Related Article: Wen-Feng Deng, Yu-Xia Li, Yan-Xin Zhao, Jie-Sheng Hu, Zi-Shuo Yao, Jun Tao|2023|J.Am.Chem.Soc.|145|5545|doi:10.1021/jacs.3c00634
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.cc2f1y7p
title: CCDC 2236192: Experimental Crystal Structure Determination

description: Related Article: Wen-Feng Deng, Yu-Xia Li, Yan-Xin Zhao, Jie-Sheng Hu, Zi-Shuo Yao, Jun Tao|2023|J.Am.Chem.Soc.|145|5545|doi:10.1021/jacs.3c00634
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.cc2f58fb
title: CCDC 2239391: Experimental Crystal Structure Determination

description: Related Article: Evan O. Romero, Jonathan C. Perkins, Jessica E. Burch, David A. Delgadillo, Hosea M. Nelson, Alison R. H. Narayan|2023|Org.Lett.|25|1547|doi:10.1021/acs.orglett.3c00334
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: 10.3886/e186242
title: Assessing 510(k) Device Safety

description: The data was collected for a pilot study for a project that aims to assess how well the FDA's 510(k) pathway ensures the safety of medical devices. The project will use regulatory ancestry study methodologies to create lineage trees of medical devices cleared for the U.S. market under the 510(k) pathway, and will apply quantitative methods to assess the validity of numerous criticisms of the pathway. The data for the pilot study was obtained from publicly available FDA databases. The scope was limited to devices intended for use in removing thrombus from the neurovasculature of patients experiencing acute strokes. All devices bearing FDA-assigned product codes NRY and POL were included.