cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10036663
title: test upload

description: This is just a test file.
DOI: 10.5281/zenodo.10036662
title: test upload

description: This is just a test file.
DOI: 10.6084/m9.figshare.24411595
title: Winter carbon dioxide measurements in UK honeybee hives 2022/2023

description: This work reports the carbon dioxide measurements in wintering hives in the UK and compared the data with hive scale and vibration sensor measurements.
DOI: 10.17864/1947.000508
title: Flower visitor, pod productivity and pod quality data from Moringa plantations with floral interventions and control

description: These data include information on flower visitor abundance and species richness (30 different species of bees, flies, butterflies and moths were recorded on the whole), pod productivity (percentage of flowers that set fruit) and pod quality (length, diameter, seed number and weight) of moringa grown under different pollination treatments including pollinator exclusion (no visitation by insects), open pollination (visitation by insects) and supplementary pollination (hand pollinated) in plantations that are used as control, and in plantations with inter and border-cropping as floral interventions. Data were collected for Translating Research Opportunities to enhance Pollination benefits to economically Important Crops And improve Livelihoods (TROPICAL) project.
DOI: 10.3886/e113112v1-142564
title: Replication data for: Wealth Distribution and Social Mobility in the US: A Quantitative Approach

description: We quantitatively identify the factors that drive wealth dynamics in the United States and are consistent with its skewed cross-sectional distribution and with social mobility. We concentrate on three critical factors: (i) skewed earnings, (ii) differential saving rates across wealth levels, and (iii) stochastic idiosyncratic returns to wealth. All of these are fundamental for matching both distribution and mobility. The stochastic process for returns which best fits the cross-sectional distribution of wealth and social mobility in the United States shares several statistical properties with those of the returns to wealth uncovered by Fagereng et al. (2017) from tax records in Norway.
DOI: 10.5517/ccdc.csd.cc2d8cnq
title: CCDC 2212583: Experimental Crystal Structure Determination

description: Related Article: Felix Otte, Johannes Kleinheider, Bastian Grabe, Wolf Hiller, Franziska Busse, Ruimin Wang, Nora M. Kreienborg, Christian Merten, Ulli Englert, Carsten Strohmann|2023|ACS Omega|8|21531|doi:10.1021/acsomega.3c00619
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.cc2d8cpr
title: CCDC 2212584: Experimental Crystal Structure Determination

description: Related Article: Felix Otte, Johannes Kleinheider, Bastian Grabe, Wolf Hiller, Franziska Busse, Ruimin Wang, Nora M. Kreienborg, Christian Merten, Ulli Englert, Carsten Strohmann|2023|ACS Omega|8|21531|doi:10.1021/acsomega.3c00619
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.cc2fdgkw
title: CCDC 2246308: Experimental Crystal Structure Determination

description: Related Article: Ottoor Anitha, Janardhanan Aiswarya, Thangaraj Thiruppathiraja, Senthilkumar Lakshmipathi, Jan Grzegorz Małecki, Balasubramanian Murugesapandian|2023|New J.Chem.|47|18461|doi:10.1039/D3NJ03379A
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.cc2fdwzq
title: CCDC 2246724: Experimental Crystal Structure Determination

description: Related Article: Xueyuan Wang, Eduardo Carrillo-Aravena, Yuandong Wu, Dajiang Mei, Shaoguo Wen, Thomas Doert|2023|CrystEngComm|25|5673|doi:10.1039/D3CE00792H
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.cc2fkyml
title: CCDC 2251580: Experimental Crystal Structure Determination

description: Related Article: Pengfei Luo, Long Li, Xinfang Mao, Zheng Sun, Yingcheng Wang, Fangzhi Peng, Zhihui Shao|2023|Chemical Science|14|10812|doi:10.1039/D3SC04581A
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.cc2fkypn
title: CCDC 2251582: Experimental Crystal Structure Determination

description: Related Article: Pengfei Luo, Long Li, Xinfang Mao, Zheng Sun, Yingcheng Wang, Fangzhi Peng, Zhihui Shao|2023|Chemical Science|14|10812|doi:10.1039/D3SC04581A
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.cc2fkyqp
title: CCDC 2251583: Experimental Crystal Structure Determination

description: Related Article: Pengfei Luo, Long Li, Xinfang Mao, Zheng Sun, Yingcheng Wang, Fangzhi Peng, Zhihui Shao|2023|Chemical Science|14|10812|doi:10.1039/D3SC04581A
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.cc2fl5w3
title: CCDC 2251805: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fl5x4
title: CCDC 2251806: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fl5y5
title: CCDC 2251807: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fl5z6
title: CCDC 2251808: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fl608
title: CCDC 2251809: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fl619
title: CCDC 2251810: Experimental Crystal Structure Determination

description: Related Article: Bo Jiang, Wu-Tao Gui, Hao-Tian Wang, Ke Xie, Zhi-Chao Chen, Lei Zhu, Qin Ouyang, Wei Du, Ying-Chun Chen|2023|Chemical Science|14|10867|doi:10.1039/D3SC03996J
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.cc2fnxqr
title: CCDC 2254435: Experimental Crystal Structure Determination

description: Related Article: Jin-Bu Xu, Peng Wen, Neng Wang, Xiaohuan Li, Jia-Hong Li, Steven De Jonghe, Dominique Schols, Feng-Zheng Chen, Feng Gao|2023|Chem.Commun.|59|12290|doi:10.1039/D3CC03541G
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.cc2fzj32
title: CCDC 2263654: Experimental Crystal Structure Determination

description: Related Article: Kenneth D’Arcy, Tim Schäfer, Michele De Franco, Raffaele Ricco, Valentina Gandin, Pablo J. Sanz Miguel, Diego Montagner|2023|New J.Chem.|47|18485|doi:10.1039/D3NJ03186A
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.24427312.v1
title: Data files for Neuser et al. 2020 replication study

description: Two participants were excluded because they missed the second session (103) or failed to respond on many trials (129). The resulting final sample consisted of 40 participants (32 females [sex assigned at birth]; mean age <i>M</i> = 21.30, range 18 to 29).<b>raw_EAT:</b>- raw data files from the effort allocation task- contains 42 participants (labelled 101-142)- TrainEAT_TUE001*.mat: Data from the training phase of the EAT task- ExpEAT_TUE001*.mat: Data from the experiment phase of the EAT task- effort_TUE001*.mat: Additional session information<b>processed_EAT: </b><b>-</b>.csv files containing all processed data. Explanation of data processing can be found here: https://github.com/neuromadlab/Tasks/tree/master/Effort_Allocation_Task/Analyses/general. Please note that small edits needed to be done to run through participant numners 101 - 142 (instead of 1-42).ParticipantLogFile.xlsxcontains the demographic data for each participant, including session order, stimulation intensity, gender, age, start time, end time, total earnings (food, money)
DOI: 10.6084/m9.figshare.24427312
title: Data files for Neuser et al. 2020 replication study

description: Two participants were excluded because they missed the second session (103) or failed to respond on many trials (129). The resulting final sample consisted of 40 participants (32 females [sex assigned at birth]; mean age <i>M</i> = 21.30, range 18 to 29).<b>raw_EAT:</b>- raw data files from the effort allocation task- contains 42 participants (labelled 101-142)- TrainEAT_TUE001*.mat: Data from the training phase of the EAT task- ExpEAT_TUE001*.mat: Data from the experiment phase of the EAT task- effort_TUE001*.mat: Additional session information<b>processed_EAT: </b><b>-</b>.csv files containing all processed data. Explanation of data processing can be found here: https://github.com/neuromadlab/Tasks/tree/master/Effort_Allocation_Task/Analyses/general. Please note that small edits needed to be done to run through participant numners 101 - 142 (instead of 1-42).ParticipantLogFile.xlsxcontains the demographic data for each participant, including session order, stimulation intensity, gender, age, start time, end time, total earnings (food, money)
DOI: 10.6084/m9.figshare.24427300
title: Data for Distribution and abundance of solar wind-derived water in Moon’s subsurface and their implications

description: This file contains the data of H abundances and H isotopes of drill core soils.
DOI: 10.25625/dhcivm/7sbiit
title: supplementary materials S2.xlsx

description: Table S2 shows the mass balance model calculation information for all terrestrial mammals in this study.
DOI: 10.25625/dhcivm
title: Dr.

description: Supplementary data S1 presents the list of all modern land-living mammals and their triple oxygen isotope composition. Table S2 shows the mass balance model calculation information for all terrestrial mammals.
DOI: 10.25625/dhcivm/fri15v
title: supplementary materials S1.xlsx

description: Table S1 presents the list of all modern land-living mammals and their triple oxygen isotope composition in this study, including the measurement ID, sample taxon, order, sample origin, gender, sample material, body mass, and triple oxygen isotope composition.
DOI: 10.6084/m9.figshare.22893521
title: Replication Data for: The opportunities and constraints of successful heresthetical strategies

description: The survey (N=1000) was conducted on a nonprobability-based sample from a Hungarian 'Net panel' (NRC - https://nrc.hu/netpanel/ ) and was conducted online between 3 October and 11 October 2022. The sample was representative of the Hungarian population aged between 18 and 65 with internet access, as well as gender, age, education and place of residence censuses. For the experiment, participants were randomly divided into two groups (500-500 people), and each group rated four statements on a 5-point scale of how much they agreed with each statement. Each group was given one statement on each of the four predefined dimensions of judgement (security, economic interest, justification, and group identity). Both groups were given two pro-Atlantic and two pro-Russian statements to avoid acquiescence bias. The statements are meaningful dimensions of judgment on their own, but by aggregating them, we can uncover a deeper underlying attitude that is encircled by these preferences.<br>
DOI: 10.6084/m9.figshare.22893521.v3
title: Survey data for the article: The opportunities and constraints of successful framing strategies

description: The survey (N=1000) was conducted on a nonprobability-based sample from a Hungarian 'Net panel' (NRC - https://nrc.hu/netpanel/ ) and was conducted online between 3 October and 11 October 2022. The sample was representative of the Hungarian population aged between 18 and 65 with internet access, as well as gender, age, education and place of residence censuses. For the experiment, participants were randomly divided into two groups (500-500 people), and each group rated four statements on a 5-point scale of how much they agreed with each statement. Each group was given one statement on each of the four predefined dimensions of judgement (security, economic interest, justification, and group identity). Both groups were given two pro-Atlantic and two pro-Russian statements to avoid acquiescence bias. The statements are meaningful dimensions of judgment on their own, but by aggregating them, we can uncover a deeper underlying attitude that is encircled by these preferences.<br> Research abstract <br> Framing and heresthetic are essential techniques for shaping public opinion in political communication. In the context of the Russo-Ukrainian war, Hungary offers a fascinating case study due to the ambivalent and antagonistic political positions within the political elites and among citizens. The paper explores the opportunities and constraints of framing the Russo-Ukrainian war in different dimensions of judgments (security, economic interest, justification and group identity) through a public opinion survey experiment (N=1000). Our results suggest that a successful strategy is highly dependent on the framing dimension. The strategic framing of economic interests, security, and justification are highly effective dimensions, while in the identity dimension, opinions resisted framing. The results are discussed in terms of democratic theory, with a particular focus on the role of elite communication and the role of partisanship. Moreover, our results contribute to the explanation of the strategic manoeuvres and it’s followed electoral success of Viktor Orbán.
DOI: 10.5281/zenodo.10036717
title: Systematic Literature Review - Selected Articles - Data Extraction

description: - CSV with the raw data extracted from abstract + full-text review from the selected articles.


- CSV with normalized data.


- CSV with the normalized data after being a feature engineering step in which some columns have been deleted.


- CSV with formal context to extract the concepts lattice.
DOI: 10.5281/zenodo.7844899
title: Systematic Literature Review - Selected Articles - Data Extraction

description: - CSV with the raw data extracted from abstract + full-text review from the selected articles.


- CSV with normalized data.


- CSV with the normalized data after being a feature engineering step in which some columns have been deleted.


- CSV with formal context to extract the concepts lattice.
DOI: 10.5281/zenodo.7844900
title: Systematic Literature Review - Selected Articles - Data Extraction

description: - CSV with the raw data extracted from abstract + full-text review from the selected articles. - CSV with normalized data. - CSV with the normalized data after being a feature engineering step in which some columns have been deleted. - CSV with formal context to extract the concepts lattice.
DOI: 10.25625/a673ax/rgnksg
title: supplementary materials S1.xlsx

description: Table S1 presents the list of all modern land-living mammals and their triple oxygen isotope composition in this study, including the measurement ID, sample taxon, order, sample origin, gender, sample material, body mass, and triple oxygen isotope composition.
DOI: 10.25625/a673ax/nrpify
title: supplementary materials S2.xlsx

description: Table S2 shows the mass balance model calculation information for all terrestrial mammals in this study.
DOI: 10.25625/a673ax
title: Triple oxygen isotopes of modern terrestrial mammalian tooth enamel –new implications for paleoenvironmental and physiological research

description: Appendix A. Supplementary material
DOI: 10.6084/m9.figshare.22434445
title: Datasets-for-CNN-evaluation

description: Datasets for CNN evaluation
DOI: 10.21227/qcf2-kb07
title: DCNFIS: Enhancing Twitter Sentiment Analysis 

description: The most popular and active area of data mining study is sentiment analysis. Twitter is a crucial platform for collecting and distributing people's thoughts, feelings, views, and attitudes regarding specific entities. There are several social media networks available today. In light of this, sentiment analysis in natural language processing (NLP) field became fascinating. Different techniques have been developed for sentiment analysis. However, there is still a need for improvement in terms of accuracy and system effectiveness. Additionally, user emotional expressions typically take the form of naturally occurring human-written textual data with numerous noises and ambiguities. To address these issues, we presented a new integrated fuzzy neural network. The proposed framework is developed for effective and efficient feature selection and deep fuzzy-based sentiment analysis. Deep Convolutional Neuro Fuzzy Inference System (DCNFIS) analyzes the sentiments. The provided dataset is initially cleaned up and filtered out as part of pre-processing. Utilizing the pre-processed data, sentiment-based features are extracted using Inception-ResNet V2 model. Then, relevant features are selected by employing Enhanced Reptile Search Algorithm (ERSA). The Al-Biruni Earth Radius (BER) Optimization Algorithm is used to optimize the DCNFIS structure, which analyzes sentiment categories such as positive, negative, very positive, very negative, and neutral. Finally, an effectiveness assessment of suggested and present classifiers is presented. The experimental investigation analyzes that the proposed approach gains superior performance over existing approaches.
DOI: 10.5517/ccdc.csd.cc2ghgxc
title: CSD 2278993: Experimental Crystal Structure Determination

description: Related Article: Dominik Spahr, Lkhamsuren Bayarjargal, Eiken Haussühl, Rita Luchitskaia, Alexandra Friedrich, Victor Milman, Timofey Fedotenko, Björn Winkler|2023|Chem.Commun.|59|11951|doi:10.1039/D3CC03324D
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.16726207
title: STOKES local reflection FITS files

description: In version v1 attached tables to the paper "Spectral and polarization properties of reflected X-ray emission from black-hole accretion discs", Podgorny et al. 2022, MNRAS, Vol. 510, pg. 4723.In version v2 unified in ionization parameter xi and for unpolarized, 100 % diagonally polarized and 100 % vertically (in v1 this was horizontally) polarized primary radiation. This version is described and used in Podgorny 2023, PhD thesis.Any newer version of the tables will be also provided here in the future.