cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x9925wwvkp.1
title: Replication Material for "Liquidity Risk, Market Power and the Informational Effects of Policy'"

description: The replication material contains three separate replication folders:  
(1)  Replication  - Auction,  
(2) Replication  - State Space and 
(3) Replication - State Space_Robustness. 

(1) Contains all the code that can be used to perform the auction estimation. (2) and (3) can be used to produce the baseline results and all the robustness checks. All folders contain readme files that explain the main code files and which figures they can generate.
DOI: 10.17632/8kmksy24rg.1
title: Pesticide Use Behavior, Cognitive Dysfunction and The Model of Safety Standard of Pesticide Use among farmworker in Indonesia

description: dataset for pesticide use behavior, cognitive dysfunction and the model of safety standard of pesticide use among famworker in indonesia
DOI: 10.17632/8kmksy24rg.2
title: Pesticide Use Behavior, Cognitive Dysfunction and The Model of Safety Standard of Pesticide Use among farmworker in Indonesia

description: dataset for pesticide use behavior, cognitive dysfunction and the model of safety standard of pesticide use among famworker in indonesia
DOI: 10.17632/3hkh8v9mvv.1
title: Ischaemia reperfusion injury following different experimental models in the equine small intestine

description: Raw data of an in-vivo study comparing low flow and no flow jejunal ischaemia in horses, including microperfusion measurements, clinical appearance, histology, immunohistology and electrophysiology
DOI: 10.17632/3hkh8v9mvv.2
title: Ischaemia reperfusion injury following different experimental models in the equine small intestine

description: Raw data of an in-vivo study comparing low flow and no flow jejunal ischaemia in horses, including microperfusion measurements, clinical appearance, histology, immunohistology and electrophysiology. Furthermore, smooth muscle contractility measurements with and without dexmedetomidine are listed.
DOI: 10.17632/7x785tzhyh.1
title: Immunization needed during pregnancy: healthcare workers recommendations for pertussis vaccine

description: The dataset was used in a cross-sectional study aimed to assess if Italian healthcare workers recommend Tdap vaccination to pregnant women and which attitudes influence their practices. This  study took place between August 2021 and June 2022 in three regions of Southern Italy. An anonymous and self-administered questionnaire was distributed by a research team or sending it through a URL code via e-mail to gynecologists, midwives, general practiotioners. It  was composed of five sections: (1) the first section collected information about the sociodemographic and professional characteristics; (2) the second section investigated general knowledge about recommended vaccinations during pregnancy; (3) the third section measured attitudes and beliefs regarding the benefits and risks of vaccinating pregnant women; (4) the fourth section explored providers' vaccination behaviors and also assessed strategies and interventions to increase uptake of vaccination during pregnancy; (5) the last section explored the main sources of information and the need to receive additional news about recommended vaccination during pregnancy.
DOI: 10.17632/gb88yvcv3m.1
title: Dataset for Sígueme la Corriente STEM YouTube Channel

description: This dataset covers the main metrics for the STEM YouTube Channel Sígueme la Corriente. The data collected covers from 01/01/2017 to 31/12/2022 for all metrics, except for city information which covers from 01/09/2021 to 31/12/2022.
DOI: 10.17632/pnvp7zf8yp.1
title: Eosinophilic fasciitis following Sars-Cov2 Vaccination

description: Eosinophilic fasciitis (EF) is a rare scleroderma-like syndrome considered an autoimmune disease (1,2). It was first described by Shulman in 1974 (3) characterized by induration of the skin, peripheral eosinophilia, hypergammaglobulinemia and elevated erythrocyte sedimentation rate (ESR). The disorder occurs equally in males and females and the average age of onset has been reported between 40 and 50 years, although it can appear from childhood to older ages (4).
The etiology of EF remains unknown. Multiple triggers have been suggested such as muscle trauma, drugs (statins, phentytoin, ramipril, subcutaneous heparin or trichloroethylene), infections (Borrelia burgdorferi, Mycoplasma arginini), hematologic disorders, solid neoplasms, autoimmune diseases or physical factors such as radiotherapy and burns (1).
Clinically, EF is characterized by an abrupt onset of pain and swelling on the affected extremities, mainly with a symmetrical presentation. The edema is followed by the thickening of the skin, showing the two characteristic signs of the disease: Peau d’orange appearance and the “groove sign”, a depression along the course of superficial veins, accentuated with the elevation of the limb. Other symptoms are joint contractures, morphea-like lesions, inflammatory polyarthritis, myalgia, weight loss, asthenia and morning stiffness. Less frequently restrictive lung disease manifestations may be associated and pleural and pericardial effusion as well as renal involvement can also be present (1,5).
DOI: 10.5281/zenodo.7572984
title: MAR dataset

description: MAR dataset required to run MAR (boundary conditions, vegetation, topography). Forcing files are only for a standard bench experiment over Antarctica forced by ERA-5 for 02/2015. Licenses : AntTOPO : BedMachine_v02.nc3 : https://doi.org/10.5067/FPSU0V1MWUB6. Cite Morlighem, M. (2022). MEaSUREs BedMachine Antarctica, Version 3 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/FPSU0V1MWUB6. Date Accessed 01-26-2023. When using this data product in a publication, please include the following citations in addition to the data product citation provided above: Morlighem, M., E. Rignot, T. Binder, D. D. Blankenship, R. Drews, G. Eagles, O. Eisen, F. Ferraccioli, R. Forsberg, P. Fretwell, V. Goel, J. S. Greenbaum, H. Gudmundsson, J. Guo, V. Helm, C. Hofstede, I. Howat, A. Humbert, W. Jokat, N. B. Karlsson, W. Lee, K. Matsuoka, R. Millan, J. Mouginot, J. Paden, F. Pattyn, J. L. Roberts, S. Rosier, A. Ruppel, H. Seroussi, E. C. Smith, D. Steinhage, B. Sun, M. R. van den Broeke, T. van Ommen, M. van Wessem, and D. A. Young. 2020. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nature Geoscience. 13. DOI: 10.1038/s41561-019-0510-8. ERA-5-ANT Climate Data Store Copernicus -- Copernicus license; How to ancknowledge; Acknowledgment section of the article may contain the following: Hersbach, H. et al., (2018) was downloaded from the Copernicus Climate Change Service (C3S) Climate Data Store. The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Bibliography may contain the following: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on single levels from 1959 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 14-APR-2021), 10.24381/cds.adbb2d47 Throughout the content of the article, the dataset used maybe referred to as: Hersbach, H. et al., (2018) ETOPO: todo FAO: todo ICEmask: todo SOIL: todo VEGE: todo
DOI: 10.5281/zenodo.7572983
title: MAR dataset

description: MAR dataset required to run MAR (boundary conditions, vegetation, topography). Forcing files are only for a standard bench experiment over Antarctica forced by ERA-5 for 02/2015. Licenses : AntTOPO : BedMachine_v02.nc3 : https://doi.org/10.5067/FPSU0V1MWUB6. Cite Morlighem, M. (2022). MEaSUREs BedMachine Antarctica, Version 3 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/FPSU0V1MWUB6. Date Accessed 01-26-2023. When using this data product in a publication, please include the following citations in addition to the data product citation provided above: Morlighem, M., E. Rignot, T. Binder, D. D. Blankenship, R. Drews, G. Eagles, O. Eisen, F. Ferraccioli, R. Forsberg, P. Fretwell, V. Goel, J. S. Greenbaum, H. Gudmundsson, J. Guo, V. Helm, C. Hofstede, I. Howat, A. Humbert, W. Jokat, N. B. Karlsson, W. Lee, K. Matsuoka, R. Millan, J. Mouginot, J. Paden, F. Pattyn, J. L. Roberts, S. Rosier, A. Ruppel, H. Seroussi, E. C. Smith, D. Steinhage, B. Sun, M. R. van den Broeke, T. van Ommen, M. van Wessem, and D. A. Young. 2020. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nature Geoscience. 13. DOI: 10.1038/s41561-019-0510-8. ERA-5-ANT Climate Data Store Copernicus -- Copernicus license; How to ancknowledge; Acknowledgment section of the article may contain the following: Hersbach, H. et al., (2018) was downloaded from the Copernicus Climate Change Service (C3S) Climate Data Store. The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. Bibliography may contain the following: Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on single levels from 1959 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 14-APR-2021), 10.24381/cds.adbb2d47 Throughout the content of the article, the dataset used maybe referred to as: Hersbach, H. et al., (2018) ETOPO: todo FAO: todo ICEmask: todo SOIL: todo VEGE: todo
DOI: 10.6084/m9.figshare.21953540.v1
title: Egmont Atoll (Indian Ocean) Modelling Data For March 2020

description: Results from the numerical runs with MITgcm for Egmont Atoll, Chagos Archipelago, Indian Ocean. The data presents one-hour output for velocities, temperature and salinity. <br>
DOI: 10.34740/kaggle/dsv/4900828
title: Flipkart Products Review Dataset
DOI: 10.5517/ccdc.csd.cc29p6px
title: CCDC 2135549: Experimental Crystal Structure Determination

description: Related Article: Kierstyn P. Anderson, Ash Sueh Hua, John B. Plumley, Austin D. Ready, Arnold L. Rheingold, Thomas L. Peng, Peter I. Djurovich, Christopher Kerestes, Neil A. Snyder, Andrew Andrews, Justin R. Caram, Alexander M. Spokoyny|2022|Dalton Trans.|51|9223|doi:10.1039/D2DT01225A
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.cc2bl8lt
title: CCDC 2162516: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Yu-Xin Wu, Zhou Lu, Dong Luo, Jing-Xuan Sun, Guang-Wei Wu, Mian Li, Yu-Bai Wei, Li-Ming Zhong, Dan Li|2022|J.Am.Chem.Soc.|144|9559|doi:10.1021/jacs.2c03326
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.cc2bl8mv
title: CCDC 2162517: Experimental Crystal Structure Determination

description: Related Article: Hong Cai, Yu-Xin Wu, Zhou Lu, Dong Luo, Jing-Xuan Sun, Guang-Wei Wu, Mian Li, Yu-Bai Wei, Li-Ming Zhong, Dan Li|2022|J.Am.Chem.Soc.|144|9559|doi:10.1021/jacs.2c03326
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.cc2d7jck
title: CCDC 2211768: Experimental Crystal Structure Determination

description: Related Article: Chong Shang, Xiao-Yan Huang, Yuan Wang, Wei Dong, Xiao-Feng He, Tian-Ze Li, Ji-Jun Chen|2023|Org.Biomol.Chem.|21|823|doi:10.1039/D2OB02182J
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.cc2d7k5d
title: CCDC 2211793: Experimental Crystal Structure Determination

description: Related Article: Chong Shang, Xiao-Yan Huang, Yuan Wang, Wei Dong, Xiao-Feng He, Tian-Ze Li, Ji-Jun Chen|2023|Org.Biomol.Chem.|21|823|doi:10.1039/D2OB02182J
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.cc2d9642
title: CCDC 2213373: Experimental Crystal Structure Determination

description: Related Article: Nilakshi Dutta, Bidyutjyoti Dutta, Apurba Dutta, Bipul Sarma, Diganta Sarma|2023|Org.Biomol.Chem.|21|748|doi:10.1039/D2OB02085H
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.cc2dbnbr
title: CCDC 2214774: Experimental Crystal Structure Determination

description: Related Article: Lona Dutta, Anwita Chattopadhyay, Nisha Yadav, S. S. V. Ramasastry|2023|Org.Biomol.Chem.|21|738|doi:10.1039/D2OB02180C
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.cc2dcg3c
title: CCDC 2215542: Experimental Crystal Structure Determination

description: Related Article: Cristina Negro, Héctor Martínez Pérez-Cejuela, Ernesto Francisco Simó-Alfonso, Waseem Iqbal, José Manuel Herrero-Martínez, Donatella Armentano, Jesús Ferrando-Soria, Emilio Pardo|2023|ACS Applied Materials and Interfaces|15|3069|doi:10.1021/acsami.2c20458
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.cc2dcg4d
title: CCDC 2215543: Experimental Crystal Structure Determination

description: Related Article: Cristina Negro, Héctor Martínez Pérez-Cejuela, Ernesto Francisco Simó-Alfonso, Waseem Iqbal, José Manuel Herrero-Martínez, Donatella Armentano, Jesús Ferrando-Soria, Emilio Pardo|2023|ACS Applied Materials and Interfaces|15|3069|doi:10.1021/acsami.2c20458
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: 10.34740/kaggle/dsv/4900851
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.18112/openneuro.ds004443.v1.0.0
title: Identifying cortical areas that underlie the transformation from 2D retinal to 3D head-centric motion signals
DOI: 10.5281/zenodo.7573093
title: notoglanidium_maculatum_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7573092
title: notoglanidium_maculatum_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.5811905
title: Irrigation_Potentials_Data

description: The inputs_16-01-2023.zip folder contains data created by the fullWATER.R function of the mrwater library v1.4.45 (https://doi.org/10.5281/zenodo.7572684, https://github.com/pik-piam/mrwater/) for the article "Technical and Economic Irrigation Potentials within land and water boundaries". It is used to create the graphs and tables in outputs_16-01-2023.zip created by the mrwater_CurrentIrrigationPotentials_v3.0.0.Rmd in the public github repository (https://github.com/FelicitasBeier/IrrigationPotentials)
DOI: 10.5281/zenodo.5811906
title: IrrigationPotentialsData

description: The inputdata.zip folder contains data created by the fullWATER.R function of the mrwater library v1.0.0 (https://doi.org/10.5281/zenodo.5801680, https://github.com/pik-piam/mrwater/). It is used to create the graphs and tables in outputs.zip created by the mrwater_CurrentIrrigationPotentials.Rmd in the public github repository (https://github.com/FelicitasBeier/IrrigationPotentials)
DOI: 10.5281/zenodo.6884098
title: Irrigation_Potentials_Data

description: The inputdata.zip folder contains data created by the fullWATER.R function of the mrwater library v1.2.5 (https://doi.org/10.5281/zenodo.5801680, https://github.com/pik-piam/mrwater/) for the resubmission of the article "Technical and Economic Irrigation Potentials within land and water boundaries". It is used to create the graphs and tables in outputs_22-07-2022.zip created by the mrwater_CurrentIrrigationPotentials_v2.0.0.Rmd in the public github repository (https://github.com/FelicitasBeier/IrrigationPotentials)
DOI: 10.5281/zenodo.7572847
title: Irrigation_Potentials_Data

description: The inputs_16-01-2023.zip folder contains data created by the fullWATER.R function of the mrwater library v1.4.45 (https://doi.org/10.5281/zenodo.7572684, https://github.com/pik-piam/mrwater/) for the article "Technical and Economic Irrigation Potentials within land and water boundaries". It is used to create the graphs and tables in outputs_16-01-2023.zip created by the mrwater_CurrentIrrigationPotentials_v3.0.0.Rmd in the public github repository (https://github.com/FelicitasBeier/IrrigationPotentials)
DOI: 10.34740/kaggle/dsv/4900882
title: Flipkart Products Review Dataset
DOI: 10.6084/m9.figshare.20265375
title: gene set data of Apis cerana japonica

description: The gene set data of Apis cerana japonica new genome assembly (cording sequence: Acj_2022_CDS.fasta, protein translation sequence: Acj_2022.ht.aa, and gene transfer format data: Acj_2022.ht.gtf).
DOI: 10.6084/m9.figshare.20265375.v1
title: gene set data of Apis cerana japinica

description: The gene set data of Apis cerana japonica new genome assembly (cording sequence: Acj_2022_CDS.fasta, protein translation sequence: Acj_2022.ht.aa, and gene transfer format data: Acj_2022.ht.gtf).
DOI: 10.6084/m9.figshare.20265375.v2
title: gene set data of Apis cerana japonica

description: The gene set data of Apis cerana japonica new genome assembly (cording sequence: Acj_2022_CDS.fasta, protein translation sequence: Acj_2022.ht.aa, and gene transfer format data: Acj_2022.ht.gtf).
DOI: 10.6084/m9.figshare.21959861
title: Cleaned EEG data

description: cleaned EEG data
DOI: 10.6084/m9.figshare.21959861.v1
title: Cleaned EEG data

description: cleaned EEG data
DOI: 10.34740/kaggle/dsv/4900891
title: Flipkart Products Review Dataset
DOI: 10.5281/zenodo.7573113
title: Statistical aspects of interface adhesion and detachment of hierarchically patterned structures: dataset

description: <strong>Data from:</strong> N. Esfandiary, M. Zaiser, P. Moretti: Statistical aspects of interface adhesion and detachment of hierarchically patterned structures (2022) Journal of Statistical Mechanics: Theory and Experiment 023301,<br> https://doi.org/10.1088/1742-5468/ac52a4 <strong>Abstract:</strong> We introduce a three dimensional model for interface failure of hierarchical materials adhering to heterogeneous substrates. We find that the hierarchical structure induces scale invariant detachment patterns, which in the limit of low interface disorder prevent interface failure by crack propagation ('detachment fronts'). In the opposite limit of high interface disorder, hierarchical patterns ensure enhanced work of failure as compared to reference non-hierarchical structures. While the study of hierarchical adhesion is motivated by examples of fibrous materials of biological interest, our results indicate that hierarchical patterns can be useful in engineering scenarios in view of tuning and optimizing adhesion properties. <strong>Contact:</strong> Paolo Moretti<br> Institute of Materials Simulation<br> Friedrich-Alexander-Universität Erlangen-Nürnberg<br> Dr.-Mack-Str. 77<br> 90762 Fürth<br> Germany <strong>File naming scheme:</strong> hfn: hierarchical fuse network<br> rrn: random reference network uni: uniform threshold distribution <br> wei15: Weibull threshold distribution (shape factor 1.5)<br> wei4: Weibull threshold distribution (shape factor 4)<br> wei9: Weibull threshold distribution (shape factor 9) s1: largest connected components<br> s2: 2nd largest connected components<br> iv: sample iv curve<br> envelope: envelope of iv (displacement control)
description: Funded by DFG - 377472739 (Research Training Group GRK 2423 'Fracture across Scales - FRASCAL').
DOI: 10.5281/zenodo.7573114
title: Statistical aspects of interface adhesion and detachment of hierarchically patterned structures: dataset

description: <strong>Data from:</strong> N. Esfandiary, M. Zaiser, P. Moretti: Statistical aspects of interface adhesion and detachment of hierarchically patterned structures (2022) Journal of Statistical Mechanics: Theory and Experiment 023301,<br> https://doi.org/10.1088/1742-5468/ac52a4 <strong>Abstract:</strong> We introduce a three dimensional model for interface failure of hierarchical materials adhering to heterogeneous substrates. We find that the hierarchical structure induces scale invariant detachment patterns, which in the limit of low interface disorder prevent interface failure by crack propagation ('detachment fronts'). In the opposite limit of high interface disorder, hierarchical patterns ensure enhanced work of failure as compared to reference non-hierarchical structures. While the study of hierarchical adhesion is motivated by examples of fibrous materials of biological interest, our results indicate that hierarchical patterns can be useful in engineering scenarios in view of tuning and optimizing adhesion properties. <strong>Contact:</strong> Paolo Moretti<br> Institute of Materials Simulation<br> Friedrich-Alexander-Universität Erlangen-Nürnberg<br> Dr.-Mack-Str. 77<br> 90762 Fürth<br> Germany <strong>File naming scheme:</strong> hfn: hierarchical fuse network<br> rrn: random reference network uni: uniform threshold distribution <br> wei15: Weibull threshold distribution (shape factor 1.5)<br> wei4: Weibull threshold distribution (shape factor 4)<br> wei9: Weibull threshold distribution (shape factor 9) s1: largest connected components<br> s2: 2nd largest connected components<br> iv: sample iv curve<br> envelope: envelope of iv (displacement control)
description: Funded by DFG - 377472739 (Research Training Group GRK 2423 'Fracture across Scales - FRASCAL').