cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc297qy7
title: CCDC 2122599: Experimental Crystal Structure Determination

description: Related Article: Yohei Hattori, Ryota Kitajima, Ryota Matsuoka, Tetsuro Kusamoto, Hiroshi Nishihara, Kingo Uchida|2022|Chem.Commun.|58|2560|doi:10.1039/D1CC06555F
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.24024528
title: Supplemental data

description: Supplemental data for cell counts and chemical compositions of UFR and FR，composition and nutritional value of the experimental diets and primer sequences of real-time qPCR
DOI: 10.6084/m9.figshare.24024528.v1
title: Supplemental data

description: Supplemental data for cell counts and chemical compositions of UFR and FR，composition and nutritional value of the experimental diets and primer sequences of real-time qPCR
DOI: 10.5281/zenodo.8245329
title: The Metadata of "Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List"

description: The metadata of the article (<em>Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List</em>).
DOI: 10.5281/zenodo.8078773
title: The Metadata of "Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List"

description: The metadata of the article (<em>Are the Lists of Questionable Journals Reasonable: A Case Study of Early Warning Journal List</em>).
DOI: 10.6084/m9.figshare.24024618
title: <b>The mediating effect of job passion in the relationship between job hardiness and job burnout among </b><b>special needs teachers</b>

description: The data file is attached herewith
DOI: 10.6084/m9.figshare.24024618.v1
title: <b>The mediating effect of job passion in the relationship between job hardiness and job burnout among </b><b>special needs teachers</b>

description: The data file is attached herewith
DOI: 10.17895/ices.data.18593801
title: HELCOM request on mapping of bottom fishing intensity and effort using VMS data 2015

description: HELCOM request on mapping of bottom fishing intensity and effort using VMS data 2015 - dataset.
DOI: 10.17895/ices.data.18593801.v1
title: HELCOM request on mapping of bottom fishing intensity and effort using VMS data 2015

description: HELCOM request on mapping of bottom fishing intensity and effort using VMS data 2015 - dataset.
DOI: 10.6084/m9.figshare.24024591
title: Multi-label code-smell dataset

description: The multi-label code-smell dataset for studies related to multi-label classification
DOI: 10.17895/ices.data.18593924
title: OSPAR request 2016 for further development of fishing intensity and pressure mapping

description: OSPAR request 2016 for further development of fishing intensity and pressure mapping - data.
DOI: 10.17895/ices.data.18593924.v1
title: OSPAR request 2016 for further development of fishing intensity and pressure mapping

description: OSPAR request 2016 for further development of fishing intensity and pressure mapping - data.
DOI: 10.21227/5qxw-bw66
title: Students' Spatial Intelligence

description: This dataset is centered around high school students and comprises 40 features that encompass demographics, behavioral attributes, and curriculum-related information. It offers significant insights into the intricate interplay among students' characteristics, behaviors, and their Spatial Intelligence.
DOI: 10.5519/qd.amsm69c1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (565 records)
DOI: 10.5281/zenodo.8017644
title: Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

description: This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (https://doi.org/10.26434/chemrxiv-2023-sgvt0). The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data. The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (https://doi.org/10.26434/chemrxiv-2022-rn77b-v3), along with a Jupyter Lab file that illustrates the data processing procedure. The file "Original_data_in_npy_format.zip" contains all original data from SEM/EDX and RM experiments. We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.
DOI: 10.5281/zenodo.8017645
title: Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

description: This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (https://doi.org/10.26434/chemrxiv-2023-sgvt0). The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data. The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (https://doi.org/10.26434/chemrxiv-2022-rn77b-v3), along with a Jupyter Lab file that illustrates the data processing procedure. We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.
DOI: 10.5281/zenodo.8075322
title: Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

description: This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (https://doi.org/10.26434/chemrxiv-2023-sgvt0). The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data. The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (https://doi.org/10.26434/chemrxiv-2022-rn77b-v3), along with a Jupyter Lab file that illustrates the data processing procedure. We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.
DOI: 10.5281/zenodo.8277210
title: Original data for "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" article

description: This upload includes both original and supplementary data for the publication "Unsupervised Analysis of Optical Imaging Data for the Discovery of Reactivity Patterns in Metal Alloy" by R. Li, A. Makogon, T. Galochkina, J-F. Lemineur, F. Kanoufi, and V. Shkirskiy, published in the Small Methods journal. The preprint version of the paper is available on ChemRxiv (https://doi.org/10.26434/chemrxiv-2023-sgvt0). The file "Data_processing.zip" contains the original optical image of the interface, maps of film evolution rates in acidic and salt environments, COMSOL data output in acidic and salt environments, as well as a Jupyter Lab file that demonstrates how to process this data. The file "Comparison_of_SEM_images.zip" includes the original SEM images used in the current study and in our previous work (https://doi.org/10.26434/chemrxiv-2022-rn77b-v3), along with a Jupyter Lab file that illustrates the data processing procedure. The file "Original_data_in_npy_format.zip" contains all original data from SEM/EDX and RM experiments. We recommend opening the Jupyter Lab files in a Python 3 environment. PDF files in the root directory provide outputs of all uploaded Jupyter Lab files.
DOI: 10.48420/23736228
title: 'Cognitive Mediation of Social Engagement and Socioeconomic Background: SEM Exploration in Cam-CAN, a Large Adult Lifespan Database': Cleaned Cam-CAN (N=3000) Data, SPSS Analysis Scripts for Exploratory Factor Analysis (EFA), MPlus Anlaysis Script for Confirmatory Factor Anlaysis (CFA) and Structrural Equation Modeling (SEM), and SPSS and MPlus Outputs for EFA,CFA and SEM.

description: MPlus syntax for CFA and SEM analysis for Under 50 and Over 50 participant groups Mplus output files for CFA and SEM analysis for Under 50 and Over 50 participant groups SPSS syntax for parallel anlaysis for exploratory factor analysis SPSS variables used in EFA and CFA .dat files containing data used for CFA and SEM
DOI: 10.48420/23736228.v1
title: 'Cognitive Mediation of Social Engagement and Socioeconomic Background: SEM Exploration in Cam-CAN, a Large Adult Lifespan Database': Cleaned Cam-CAN (N=3000) Data, SPSS Analysis Scripts for Exploratory Factor Analysis (EFA), MPlus Anlaysis Script for Confirmatory Factor Anlaysis (CFA) and Structrural Equation Modeling (SEM), and SPSS and MPlus Outputs for EFA,CFA and SEM.

description: MPlus syntax for CFA and SEM analysis for Under 50 and Over 50 participant groups Mplus output files for CFA and SEM analysis for Under 50 and Over 50 participant groups SPSS syntax for parallel anlaysis for exploratory factor analysis SPSS variables used in EFA and CFA .dat files containing data used for CFA and SEM
DOI: 10.5281/zenodo.4313887
title: PapyGreek Treebanks: First prerelease

description: This is the first prerelease of PapyGreek annotations. The full release is located at https://doi.org/10.5281/zenodo.5062996.
DOI: 10.5281/zenodo.4313888
title: PapyGreek Treebanks: First prerelease

description: This is the first prerelease of PapyGreek annotations. The full release is located at https://doi.org/10.5281/zenodo.5062996.
DOI: 10.48420/23995437
title: NDF and OPT daily forex derivatives network time series dataset: December 2018 to 30th October 2020.

description: NDF and OPT daily network time series dataset with 487 daily time points corresponding to the 3rd December 2018 to 30th October 2020. The dataset has an approximate total of 77 currencies across both NDF and OPT markets.The dataset is in an .RData format so that it can be easily loaded in R. The file contains the following R objects: "dates" , "fxcurrencies", "OPTgs" and "NDFgs". NDFgs and OPTgs are lists containing the networks saved in igraph format (igraph package igraph_1.5.1).The dataset was collected for the journal article "In these networks, each node corresponds to a currency and a link corresponds to the presence of at least one transaction between those currencies in the respective market (NDF/OPT) on each given time point.A total of 487 timepoints.The dataset was collected for the journal article "A network analysis of the structure and dynamics of FX derivatives markets", with reference:Ospina-Forero, L. and Granados, O. (2023). Structure and dynamics of fx derivatives markets: a network analysis of ndf and opt markets during the rise of the global spread of covid-19. Physica A: Statistical Mechanics and its Applications.If any of the dataset is used or referred to, please cite the paper above as well and which can be found at https://www.sciencedirect.com/science/article/pii/S0378437123001048 .
DOI: 10.48420/23995437.v1
title: NDF and OPT daily forex derivatives network time series dataset: December 2018 to 30th October 2020.

description: NDF and OPT daily network time series dataset with 487 daily time points corresponding to the 3rd December 2018 to 30th October 2020. The dataset has an approximate total of 77 currencies across both NDF and OPT markets.The dataset is in an .RData format so that it can be easily loaded in R. The file contains the following R objects: "dates" , "fxcurrencies", "OPTgs" and "NDFgs". NDFgs and OPTgs are lists containing the networks saved in igraph format (igraph package igraph_1.5.1).The dataset was collected for the journal article "In these networks, each node corresponds to a currency and a link corresponds to the presence of at least one transaction between those currencies in the respective market (NDF/OPT) on each given time point.A total of 487 timepoints.The dataset was collected for the journal article "A network analysis of the structure and dynamics of FX derivatives markets", with reference:Ospina-Forero, L. and Granados, O. (2023). Structure and dynamics of fx derivatives markets: a network analysis of ndf and opt markets during the rise of the global spread of covid-19. Physica A: Statistical Mechanics and its Applications.If any of the dataset is used or referred to, please cite the paper above as well and which can be found at https://www.sciencedirect.com/science/article/pii/S0378437123001048 .
DOI: 10.13012/b2idb-6434046_v1
title: Data for Strain-resilient field-effect transistors based on wrinkled graphene/MoS2 heterostructures

description: This data set includes all of data related to strain-resilient FETs based on 2D heterostructures including optical images of FETs, Raman characteristics data, Transport measurement data, and AFM topography data.
DOI: 10.5517/cc5ygsb
title: CCDC 177282: Experimental Crystal Structure Determination

description: Related Article: M.N.Sokolov, N.E.Fedorova, V.E.Fedorov, A.V.Virovets, P.Nunez|2002|Izv.Akad.Nauk SSSR,Ser.Khim.||804|
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/cc6njgt
title: CCDC 198476: Experimental Crystal Structure Determination

description: Related Article: J.G.Stowell, S.R.Byrn, K.-S.Huang|2002|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/cc8r4x1
title: CCDC 260583: Experimental Crystal Structure Determination

description: Related Article: H.Dialer, J.Knizek, H.Noth, W.Beck|2004|Z.Kristallogr.-New Cryst.Struct.|219|311|
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.cc1p5rxj
title: CCDC 1554678: Experimental Crystal Structure Determination

description: Related Article: Joanna Cookney, Mark E. Light, Mohd Zamidi Ahmad, Vlastimil Fila, Nieck E. Benes|2017|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.cc20p4gb
title: CCDC 1867361: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Wei-Wei Ge, Jing Xu, Shi-Min Zhang, Yi-Wei Li, Zi-Yi Hua, Zhu Tao|2019|J.Mol.Struct.|1181|220|doi:10.1016/j.molstruc.2018.12.101
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.cc20p4hc
title: CCDC 1867362: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Wei-Wei Ge, Jing Xu, Shi-Min Zhang, Yi-Wei Li, Zi-Yi Hua, Zhu Tao|2019|J.Mol.Struct.|1181|220|doi:10.1016/j.molstruc.2018.12.101
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.cc20p4jd
title: CCDC 1867363: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Wei-Wei Ge, Jing Xu, Shi-Min Zhang, Yi-Wei Li, Zi-Yi Hua, Zhu Tao|2019|J.Mol.Struct.|1181|220|doi:10.1016/j.molstruc.2018.12.101
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.cc20p4kf
title: CCDC 1867364: Experimental Crystal Structure Determination

description: Related Article: Kai Chen, Wei-Wei Ge, Jing Xu, Shi-Min Zhang, Yi-Wei Li, Zi-Yi Hua, Zhu Tao|2019|J.Mol.Struct.|1181|220|doi:10.1016/j.molstruc.2018.12.101
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.cc1zw488
title: CCDC 1843330: Experimental Crystal Structure Determination

description: Related Article: Daniil Ivanov|2018|CSD Communication|||
description: Related Article: Uladzislava Dabranskaya, Daniil M. Ivanov, Alexander S. Novikov, Yury V. Matveychuk, Nadezhda A. Bokach, Vadim Yu. Kukushkin|2019|Cryst.Growth Des.|19|1364|doi:10.1021/acs.cgd.8b01757
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.cc21xjk2
title: CCDC 1904254: Experimental Crystal Structure Determination

description: Related Article: Xi Fan, Hao Fu, Lei Zhang, Jian Zhang|2019|Dalton Trans.|48|8049|doi:10.1039/C9DT01628G
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.cc2679nf
title: CCDC 2032814: Experimental Crystal Structure Determination

description: Related Article: R.V. Kabilan, C. Arunagiri, G.R. Ramkumaar, K. Sathyamoorthy, C. Karnan|2022|J.Mol.Struct.|1263|133020|doi:10.1016/j.molstruc.2022.133020
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.cc23sv5y
title: CCDC 1960290: Experimental Crystal Structure Determination

description: Related Article: Yuezhou Liu, Panpan Chen, Bingbing Shi, Tianyu Jiao, Huaqiang Ju, Peiren Liu, Feihe Huang|2020|Org.Chem.Front.|7|742|doi:10.1039/C9QO01526D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8265798
title: Qualitative dataset based on ancestral knowledge about coffee crops

description: The qualitative dataset is about coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection by means of ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.
DOI: 10.5281/zenodo.8275090
title: Qualitative dataset based on ancestral knowledge about coffee crops

description: The qualitative dataset is about coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records and 41 variables collected weekly from September 2020 to August 2021. The qualitative dataset includes climatic conditions, productive activities, external conditions, and coffee bio-aggressors. This dataset allows researchers to find patterns for coffee crop protection by means of ancestral knowledge not detected by real-time agricultural sensors. As far as we are concerned, there are no datasets like the one presented in this paper with similar characteristics of qualitative value that express the empirical knowledge of coffee farmers used to detect triggers of causal behaviors of pests and diseases in coffee crops.