cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2djtc4
title: CCDC 2220696: Experimental Crystal Structure Determination

description: Related Article: Jesse E. Smith, François P. Gabbaï|2023|Organometallics|42|240|doi:10.1021/acs.organomet.2c00565
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.cc2c5gvw
title: CCDC 2180008: Experimental Crystal Structure Determination

description: Related Article: Ying Zou, Wei Lv, A-Ni Wang, Xiao-Yu Li, Jin-Hua Li, Guo-Ming Wang|2023|Inorg.Chem.|62|2617|doi:10.1021/acs.inorgchem.2c03397
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.cc2dqcp6
title: CCDC 2226038: Experimental Crystal Structure Determination

description: Related Article: Patrycja Wytrych, Józef Utko, Mariusz Stefanski, Julia Kak, Tadeusz Lis, Łukasz John|2023|Inorg.Chem.|62|2913|doi:10.1021/acs.inorgchem.2c04371
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.cc2dqcq7
title: CCDC 2226039: Experimental Crystal Structure Determination

description: Related Article: Patrycja Wytrych, Józef Utko, Mariusz Stefanski, Julia Kak, Tadeusz Lis, Łukasz John|2023|Inorg.Chem.|62|2913|doi:10.1021/acs.inorgchem.2c04371
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.cc2dqcr8
title: CCDC 2226040: Experimental Crystal Structure Determination

description: Related Article: Patrycja Wytrych, Józef Utko, Mariusz Stefanski, Julia Kak, Tadeusz Lis, Łukasz John|2023|Inorg.Chem.|62|2913|doi:10.1021/acs.inorgchem.2c04371
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.cc2dgjgw
title: CCDC 2218498: Experimental Crystal Structure Determination

description: Related Article: Yihao Chen, Lei Zhou, Shuigen Zhou, Donghui You, Haizhou Xiong, Yuhan Hu, Qinlin Chen, Rongxing He, Ming Li|2023|Inorg.Chem.|62|2806|doi:10.1021/acs.inorgchem.2c03961
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.21770306
title: Supplementary Material for: Accuracy of two visual criteria for the assessment of caries around restorations: a delayed-type cross-sectional study

description: The aim of this study was to compare the performance of two visual criteria used for the detection of caries around restorations in permanent teeth. In this delayed-type cross-sectional study, the study sample was randomly allocated to one of two visual criteria for the assessment of restorations, as follows: a) FDI criteria (International Dental Federation; considers marginal staining, marginal adaptation, and caries recurrence), and b) CARS (Caries Associated with Restorations or Sealants) criteria, defined by the International Caries Classification and Management System. A calibrated examiner assessed the restorations using two reference standards, as follows: i) for restorations requiring operative interventions (repair/replacement), the restoration was partially or totally removed and the presence or absence of carious tissue was assessed; and ii) for restorations requiring non-operative intervention, follow-up for a period of one year was recommended to allow identification of the presence of new lesions not detected at baseline. The sensitivity, specificity, area under Receiver Operating Characteristic (ROC) curve (Az), and accuracy of the criteria were assessed. The study included 305 restorations. The FDI marginal staining parameter had the lowest Az value (Az = 0.501), while similar sensitivity was observed between the CARS (62.0%), FDI presence of caries (65.0%), and FDI marginal adaptation (74.0%) parameters. CARS exhibited the highest specificity (88.3%) and accuracy (85.6%). The CARS criteria exhibited better specificity and accuracy in detecting caries around restorations, followed by the FDI criteria for caries recurrence and marginal adaptation. Considering marginal staining or combining multiple marginal features to assess secondary caries resulted in an increased risk of false-positive outcomes and over-treatment.
DOI: 10.5258/soton/d2528
title: Dataset in support of the Southampton doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'

description: The data is in the form of .csv file, created from Cadence Virtuoso. They correspond to three circuits simulation results in the doctoral thesis 'Ultra-Fine Signal Classification Using Memristor-Enabled Hardware'.
DOI: 10.5281/zenodo.7642957
title: Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions

description: We herein provide the raw data that form the basis of the manuscript "Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions". Please find the abstract below: The formation of new carbon-nitrogen bonds is indisputably one of the most important tasks in synthetic organic chemistry. Here, nitroso compounds offer a highly interesting reactivity that complements traditional amination strategies, allowing for the introduction of nitrogen functionalities via ene-type reactions or Diels-Alder cycloadditions. In this study, we highlight the potential of horseradish peroxidase as biological mediator for the generation of reactive nitroso species under environmentally benign conditions. Exploiting a non-natural peroxidase reactivity, in combination with glucose oxidase as oxygen-activating biocatalyst, aerobic activation of a broad range of <em>N</em>-hydroxycarbamates and hydroxamic acids is achieved. Thus both intra- and intermolecular nitroso-ene as well as nitroso-Diels-Alder reactions are performed with high efficiency. Relying on a commercial and robust enzyme system, the aqueous catalyst solution can be recycled over numerous reaction cycles without significant loss of activity. Overall, this green and scalable C-N bond-forming strategy enables the production of allylic amides and various <em>N</em>-heterocyclic building blocks utilizing only air and glucose as sacrificial reagents.
DOI: 10.5281/zenodo.7642956
title: Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions

description: We herein provide the raw data that form the basis of the manuscript "Peroxidase-induced C-N Bond Formation via Nitroso Ene and Diels-Alder Reactions". Please find the abstract below: The formation of new carbon-nitrogen bonds is indisputably one of the most important tasks in synthetic organic chemistry. Here, nitroso compounds offer a highly interesting reactivity that complements traditional amination strategies, allowing for the introduction of nitrogen functionalities via ene-type reactions or Diels-Alder cycloadditions. In this study, we highlight the potential of horseradish peroxidase as biological mediator for the generation of reactive nitroso species under environmentally benign conditions. Exploiting a non-natural peroxidase reactivity, in combination with glucose oxidase as oxygen-activating biocatalyst, aerobic activation of a broad range of <em>N</em>-hydroxycarbamates and hydroxamic acids is achieved. Thus both intra- and intermolecular nitroso-ene as well as nitroso-Diels-Alder reactions are performed with high efficiency. Relying on a commercial and robust enzyme system, the aqueous catalyst solution can be recycled over numerous reaction cycles without significant loss of activity. Overall, this green and scalable C-N bond-forming strategy enables the production of allylic amides and various <em>N</em>-heterocyclic building blocks utilizing only air and glucose as sacrificial reagents.
DOI: 10.5258/soton/d2524
title: Thesis dataset: Core-collapse supernovae in the Dark Energy Survey

description: This data set contains the data underpinning the thesis "Core-collapse supernovae in the Dark Energy Survey"
DOI: 10.34740/kaggle/dsv/5003268
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.7638155
title: Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2019.5-2019.8)

description: This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). This is the LST&E dataset in 2019.05-2019.08 <strong>Dataset Characteristics:</strong> Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E) Temporal Coverage: 2019.05-2019.08 Spatial Resolution: 0.02 ° Temporal Resolution: one hour Projection: GCS_WGS_1984 Data Format: NetCDF <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. <em>IEEE Transactions on Geoscience and Remote Sensing, 58</em>, 7105-7124 Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. <em>IEEE Geoscience and Remote Sensing Letters, 10</em>, 401-40 If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.5281/zenodo.7638154
title: Himawari-8/AHI hourly clear-sky land surface temperature and emissivity dataset (2019.5-2019.8)

description: This is the clear-sky LST and LSE dataset (0.02°, hourly) derived by the iTES algorithm (Zhou and Cheng, 2020) from the Himawari-8 AHI thermal infrared data. A broadband emissivity (BBE, 8-13.5μm) dataset was also produced using the derived AHI narrowband LSEs (Cheng et al. 2013). The in-situ validation results show that the bias and RMSE of the retrieved AHI LST are 0.19 and 2.93 K in the daytime, and −0.43 and 1.95 K in the nighttime, respectively. The bias and RMSE of the retrieved LSE are less than 0.005 and 0.014, respectively, compared with the latest MYD21 LSE. The time period of this dataset is 2016-2021, covering the AHI 0.02° nominal fixed grid (60°N∼60°S, 80°E∼160°W). This is the LST&E dataset in 2019.05-2019.08 <strong>Dataset Characteristics:</strong> Spatial Coverage: East Asia and Western Pacific regions (60°N∼60°S, 80°E-140°E) Temporal Coverage: 2019.05-2019.08 Spatial Resolution: 0.02 ° Temporal Resolution: one hour Projection: GCS_WGS_1984 Data Format: NetCDF <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. <em>IEEE Transactions on Geoscience and Remote Sensing, 58</em>, 7105-7124 Cheng, J., et al. (2013). Estimating the Optimal Broadband Emissivity Spectral Range for Calculating Surface Longwave Net Radiation. <em>IEEE Geoscience and Remote Sensing Letters, 10</em>, 401-40 If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).
DOI: 10.6084/m9.figshare.21666881.v7
title: Embeddings of Wikipedia entities

description: Embeddings for 5.7 million entities in YAGO3, a large knowledge base derived from Wikipedia and other sources.<br> <br> <br> <br> <br> These 200-dimensional embeddings can be used to enrich data analyses on common entities (cities, people, companies...). See: https://github.com/soda-inria/ken_embeddings<br> <br> <br> <br> <br> The data contains the following files:<br> <br> <br> <br> <br> - emb_all.parquet: embeddings for all entities of YAGO3 (5.7M)<br> <br> <br> - emb_company.parquet: embeddings of companies<br> <br> <br> - emb_movies.parquet: embeddings of movies<br> <br> <br> - emb_album.parquet: embeddings of music albums<br> <br> <br> - emb_school.parquet: embeddings of schools and universities<br> <br> <br> <br> <br> - entity_types.parquet: simple type for each entity in YAGO3<br> <br> <br> - entity_detailed_types.parquet: detailed types for each entity <br>
DOI: 10.34740/kaggle/dsv/5003365
title: YouTube Daily
DOI: 10.6084/m9.figshare.22099655
title: material_issta23

description: anonymous dataset
DOI: 10.6084/m9.figshare.22099655.v2
title: material_issta23

description: anonymous dataset
DOI: 10.6084/m9.figshare.22099655.v1
title: material_issta23

description: anonymous dataset
DOI: 10.6084/m9.figshare.22045091.v3
title: The mechanism of emodin inhibits cell proliferation and EMT in human neuroblastoma SH-SY5Y cells

description: The experiment results of emodin in neuroblastoma SH-SY5Y cells.
DOI: 10.26188/22015694.v1
title: Multi-Frequency Steady-State Visual Evoked Potential Dataset

description: This dataset includes steady-state visual evoked potentials (SSVEPs) collected using single-frequency, dual-frequency, and tri-frequency stimulation. <br> File names: All files are named with the participant number and session number “P##_Ses#”, where P refers to Participant and Ses refers to Session. There are 9 sessions for each participant. <br> Number of participants: 35 (20 female) <br> Stimulation frequencies: 7, 11, 13, 17, 19, 23 Hz <br> Stimulation methods: Single frequency (T1): 50% duty cycle square waves Dual frequency: Frequency superposition OR (T21) on 50% duty cycle square waves Frequency superposition ADD (T22) on 50% duty cycle square waves, each at half brightness Checkerboard pattern (T23) with 50% duty cycle square waves Tri frequency: Frequency superposition OR (T31) on 50% duty cycle square waves Frequency superposition ADD (T32) on 50% duty cycle square waves, each at 1/3 brightness <br> Number of stimuli: Tested with all possible frequency combinations in dual- and tri-frequency stimulation. Single frequency: 6 (one stimulus of each frequency) Dual frequency: 15 (C(6,2)=15) Tri frequency: 20 (C(6,3)=20) <br> Sessions: Session 1: single frequency stimulation Sessions 2-5: dual-frequency stimulation Sessions 6-9: tri-frequency stimulation <br> You can use the Matlab code “dataset_processData.m” provided here to separate data into trials. The separated data is then named “P##_T##_R#_#”, where P is Participant, T is Test (stimulation method), R is Repeat (each test is repeated 4 times), and the last number is stimuli index. Stimuli were randomly shuffled on the screen but the index does not change and lower frequencies have smaller index, e.g., 11 Hz has index 2 in T1, (7,17) combination has index 3 in T21, T22, T23. <br> Should you require further information, please email Jing Mu (jing.mu [at] unimelb.edu.au).
DOI: 10.5281/zenodo.7643058
title: dGNSS survey along three selected transects of the coastline of Brøgger Peninsula, Svalbard

description: This upload contains three dGNSS surveys at Kjærsvika, Kongsfjordneset and Stuphallet, representing the coastline of Brøgger Peninsula Svalbard. The measurements were conducted 31.08.2021.
DOI: 10.5281/zenodo.7643057
title: dGNSS survey along three selected transects of the coastline of Brøgger Peninsula, Svalbard

description: This upload contains three dGNSS surveys at Kjærsvika, Kongsfjordneset and Stuphallet, representing the coastline of Brøgger Peninsula Svalbard. The measurements were conducted 31.08.2021.
DOI: 10.26188/22015694.v2
title: Multi-Frequency Steady-State Visual Evoked Potential Dataset

description: This dataset includes steady-state visual evoked potentials (SSVEPs) collected using single-frequency, dual-frequency, and tri-frequency stimulation. <br> File names: All files are named with the participant number and session number “P##_Ses#”, where P refers to Participant and Ses refers to Session. There are 9 sessions for each participant. <br> Number of participants: 35 (20 female) <br> Stimulation frequencies: 7, 11, 13, 17, 19, 23 Hz <br> Stimulation methods: Single frequency (T1): 50% duty cycle square waves Dual frequency: Frequency superposition OR (T21) on 50% duty cycle square waves Frequency superposition ADD (T22) on 50% duty cycle square waves, each at half brightness Checkerboard pattern (T23) with 50% duty cycle square waves Tri frequency: Frequency superposition OR (T31) on 50% duty cycle square waves Frequency superposition ADD (T32) on 50% duty cycle square waves, each at 1/3 brightness <br> Number of stimuli: Tested with all possible frequency combinations in dual- and tri-frequency stimulation. Single frequency: 6 (one stimulus of each frequency) Dual frequency: 15 (C(6,2)=15) Tri frequency: 20 (C(6,3)=20) <br> Sessions: Session 1: single frequency stimulation Sessions 2-5: dual-frequency stimulation Sessions 6-9: tri-frequency stimulation <br> You can use the Matlab code “dataset_processData.m” provided here to separate data into trials. The separated data is then named “P##_T##_R#_#”, where P is Participant, T is Test (stimulation method), R is Repeat (each test is repeated 4 times), and the last number is stimuli index. Stimuli were randomly shuffled on the screen but the index does not change and lower frequencies have smaller index, e.g., 11 Hz has index 2 in T1, (7,17) combination has index 3 in T21, T22, T23. <br> Should you require further information, please email Jing Mu (jing.mu [at] unimelb.edu.au).
DOI: 10.25550/2p-43wm
title: UH3-Effects of Odaph Gene Knock-out on Mouse Tooth Development

description: An _Odaph_^Cys41*^ mouse model homologous to human _ODAPH_ mutation (p.Cys43*) was generated in C57BL/6J background using CRISPR/Cas9. The coding exons and exon/intron borders of the F2 generation were confirmed by Sanger sequencing.
DOI: 10.6084/m9.figshare.20182109.v1
title: Life history database for rays (Class Chondrichthyes, Superorder Batoidea) up to June 2022

description: Database of available life history data for ray species (Class Chondrichthyes, Superorder Batoidea) including study location, maximum size, length at maturity, age at maturity, maximum age, growth k, litter size, gestation and breeding interval. Literature search up to June 2022 with references included (authors, date, and DOI). Prepared for use in estimating species-specific maximum intrinsic rate of population increase (rmax) in the manuscript entitled: 'Tropical rays are intrinsically more sensitive to overfishing than the temperate skates'.
DOI: 10.7303/syn51105262.1
title: Nascidos Vivos
DOI: 10.5281/zenodo.7643047
title: Catastrophizing, Kinesiophobia, and Acceptance as Mediators of the Relationship Between Perceived Pain Severity, Self-Reported and Performance-Based Physical FF&gt;uFunction in Women with Fibromyalgia and Obesity

description: Purpose: Individuals with fibromyalgia and obesity experience significant impairment in physical functioning. Pain catastrophizing, kinesiophobia, and pain acceptance have all been identified as important factors associated with the level of disability. The objective of this study was to evaluate the role of pain catastrophizing, kinesiophobia, and pain acceptance as mediators of the association between perceived pain severity and physical functioning in individuals with fibromyalgia and obesity. Patients and Methods: In this cross-sectional study, 165 women with fibromyalgia and obesity completed self-report questionnaires of perceived pain severity (ie, Numeric Pain Rating Scale), pain catastrophizing (ie, Pain Catastrophizing Scale), kinesiophobia (ie Tampa Scale of Kinesiophobia), pain acceptance (ie, Chronic Pain Acceptance Questionnaire), and perceived physical functioning (ie, Physical Functioning subscale of the Fibromyalgia Impact Questionnaire). In addition, a performance-based test (ie, 6-minute walking test) was conducted to assess objective physical functioning. Two multiple mediation analyses were performed. Results: Pain acceptance and kinesiophobia mediated the relationship between pain severity and self-reported physical functioning. Pain catastrophizing and kinesiophobia mediated the relationship between pain severity and performance-based functioning. Conclusion: Pain acceptance, kinesiophobia, and pain catastrophizing should be addressed in rehabilitative intervention to improve physical functioning. Interestingly, the subjective and objective aspects of physical functioning are influenced by different factors. Therefore, interventions for women with fibromyalgia and obesity should focus on factors related to both subjective and performance-based physical functioning. Keywords: chronic pain, fear-avoidance model, fibromyalgia, functioning, obesity, psychological flexibility model