cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7017136
title: Finite Element Model of the ISTAR Demonstrator Wing

description: A Nastran Bulk Data Deck of a miniature wing is provided. The wing is a small-scale representation of the DLR ISTAR research aircraft wing. The model consists of quadrilateral CQUAD4 shell elements with multi-layer GFRP composite properties. It has been built using the DLR in-house software ModGen which enables the parametric design and optimization of full aeroelastic analysis models. The input ".bdf"-file was used in MSC Nastran version 2018.2 to generate the output files ".h5, .f06, .xdb". By default a normal modes analysis is conducted with the wing being clamped at the symmetry plane of the aircraft. https://www.dlr.de/en
DOI: 10.6084/m9.figshare.20390463.v1
title: Effect of Avocado Leaves on Systolic, Diastolic Blood Pressure, Urine Volume, and Diuretic Activity Index on Wistar Rats

description: The data included the effect of extract of Avocado leaf or <em>P. Americana</em> Mill leaves on Systolic Blood Pressure, Diastolic Blood Pressure, Urine Volume, and Diuretic Activity Index on Wistar Rats.
DOI: 10.13026/tjpc-fm02
title: Multimodal Physiological Monitoring During Virtual Reality Piloting Tasks

description: This dataset includes multimodal physiologic, flight performance, and user
interaction data streams, collected as participants performed virtual flight
tasks of varying difficulty. In virtual reality, individuals flew an
"Instrument Landing System" (ILS) protocol, in which they had to land an
aircraft mostly relying on the cockpit instrument readings. Participants were
presented with four levels of difficulty, which were generated by varying wind
speed, turbulence, and visibility. Each of the participants performed 12 runs,
split into 3 blocks of four consecutive runs, one run at each difficulty, in a
single experimental session. The sequence of difficulty levels was presented
in a counterbalanced manner across blocks. Flight performance was quantified
as a function of horizontal and vertical deviation from an ideal path towards
the runway as well as deviation from the prescribed ideal speed of 115 knots.
Multimodal physiological signals were aggregated and synchronized using Lab
Streaming Layer. Descriptions of data quality are provided to assess each data
stream. The starter code provides examples of loading and plotting the time
synchronized data streams, extracting sample features from the eye tracking
data, and building models to predict pilot performance from the physiology
data streams.
DOI: 10.13026/azwa-ge48
title: Multimodal Physiological Monitoring During Virtual Reality Piloting Tasks

description: This dataset includes multimodal physiologic, flight performance, and user
interaction data streams, collected as participants performed virtual flight
tasks of varying difficulty. In virtual reality, individuals flew an
"Instrument Landing System" (ILS) protocol, in which they had to land an
aircraft mostly relying on the cockpit instrument readings. Participants were
presented with four levels of difficulty, which were generated by varying wind
speed, turbulence, and visibility. Each of the participants performed 12 runs,
split into 3 blocks of four consecutive runs, one run at each difficulty, in a
single experimental session. The sequence of difficulty levels was presented
in a counterbalanced manner across blocks. Flight performance was quantified
as a function of horizontal and vertical deviation from an ideal path towards
the runway as well as deviation from the prescribed ideal speed of 115 knots.
Multimodal physiological signals were aggregated and synchronized using Lab
Streaming Layer. Descriptions of data quality are provided to assess each data
stream. The starter code provides examples of loading and plotting the time
synchronized data streams, extracting sample features from the eye tracking
data, and building models to predict pilot performance from the physiology
data streams.
DOI: 10.6084/m9.figshare.20633679
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S6 - Bulk Geochemistry of igneous rocks from the Kermanshah forearc basin, SW Iran.
DOI: 10.6084/m9.figshare.20633679.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S6 - Bulk Geochemistry of igneous rocks from the Kermanshah forearc basin, SW Iran.
DOI: 10.6084/m9.figshare.20633688
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S2 - Zircon U–Pb dating results yielded in the Laboratory of James Cook University, Townsville, Australia.
DOI: 10.6084/m9.figshare.20633688.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S2 - Zircon U–Pb dating results yielded in the Laboratory of James Cook University, Townsville, Australia.
DOI: 10.6084/m9.figshare.20633697
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S4 - Zircon U–Pb Dating Results yielded in the Beijing SHRIMP Center, Beijing, China.
DOI: 10.6084/m9.figshare.20633697.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S4 - Zircon U–Pb Dating Results yielded in the Beijing SHRIMP Center, Beijing, China.
DOI: 10.6084/m9.figshare.20633706
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S3 - Zircon U–Pb dating results yielded in the Laboratory of Chinese University of Sciences and Technology, Hefei, China.
DOI: 10.6084/m9.figshare.20633706.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S3 - Zircon U–Pb dating results yielded in the Laboratory of Chinese University of Sciences and Technology, Hefei, China.
DOI: 10.6084/m9.figshare.20633718
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S1 - A List of samples from the Kermanshah forearc basin, SW Iran (including their numbers, GPS locations, lithology, and brief analytical results).
DOI: 10.6084/m9.figshare.20633718.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S1 - A List of samples from the Kermanshah forearc basin, SW Iran (including their numbers, GPS locations, lithology, and brief analytical results).
DOI: 10.6084/m9.figshare.20633724
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S5 - Zircon Lu–Hf isotopic data (including those of standard zircons of the same analytical season as our samples).
DOI: 10.6084/m9.figshare.20633724.v1
title: Multiple volcanic episodes of the Kermanshah forearc basin, SW Iran: a record of the deactivation and re-initiation of Neotethyan subduction involving a mid-oceanic ridge

description: Supplementary Table S5 - Zircon Lu–Hf isotopic data (including those of standard zircons of the same analytical season as our samples).
DOI: 10.5281/zenodo.7023336
title: Sparsified Model Zoo Twins: A Dataset of Sparsified Populations of Neural Network Models - MNIST

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 27 model zoos with varying hyperparameter combinations are generated and includes 50’360 unique neural network models resulting in over 2’585’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the sparsified twins of models trained on MNIST. The original population is made available at https://doi.org/10.5281/zenodo.6632086. Sparsification is done using Variational Dropout, starting from the last epoch of the original population. The zip file contains the sparsification trajectory for 25 epochs for all 1000 models. All zoos with extensive information and code can be found at www.modelzoos.cc.
DOI: 10.5281/zenodo.7023335
title: Sparsified Model Zoo Twins: A Dataset of Sparsified Populations of Neural Network Models - MNIST

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 27 model zoos with varying hyperparameter combinations are generated and includes 50’360 unique neural network models resulting in over 2’585’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the sparsified twins of models trained on MNIST. The original population is made available at https://doi.org/10.5281/zenodo.6632086. Sparsification is done using Variational Dropout, starting from the last epoch of the original population. The zip file contains the sparsification trajectory for 25 epochs for all 1000 models. All zoos with extensive information and code can be found at www.modelzoos.cc.
DOI: 10.5519/qd.oeve8a9i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2166 records)
DOI: 10.5517/cc139zp2
title: CCDC 1022494: Experimental Crystal Structure Determination

description: Related Article: Juan-Zhi Yan, Li-Ping Lu, Feng Su,   Miao Zhan|2015|Jiegou Huaxue|34|4001|
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/cc13p7df
title: CCDC 1033304: Experimental Crystal Structure Determination

description: Related Article: Kaveh Farshadfar|2014|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.cc21tynh
title: CCDC 1901777: Experimental Crystal Structure Determination

description: Related Article: Amaury Guillou, Luís M. P. Lima, David Esteban-Gómez, Rita Delgado, Carlos Platas-Iglesias, Véronique Patinec, Raphaël Tripier|2019|Dalton Trans.|48|8740|doi:10.1039/C9DT01366K
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.cc22869w
title: CCDC 1914507: Experimental Crystal Structure Determination

description: Related Article: Marco Werr, Elisabeth Kaifer, Hubert Wadepohl, Hans‐Jörg Himmel|2019|Chem.-Eur.J.|25|12981|doi:10.1002/chem.201902216
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.cc22f1m6
title: CCDC 1919167: Experimental Crystal Structure Determination

description: Related Article: Arnab Chatterjee, Sumitava Khan, Rajarshi Ghosh|2019|Polyhedron|173|114151|doi:10.1016/j.poly.2019.114151
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.cc22f8qj
title: CCDC 1919387: Experimental Crystal Structure Determination

description: Related Article: Mingxue Yang, Xu-Lin Chen, Can-Zhong Lu|2019|Dalton Trans.|48|10790|doi:10.1039/C9DT01910C
description: Related Article: Mingxue Yang, Xu-Lin Chen, Can-Zhong Lu|2019|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.cc239t4d
title: CCDC 1945843: Experimental Crystal Structure Determination

description: Related Article: Nathaniel J. Shamle, Adedibu C. Tella, Joshua A. Obaleye, Fatai O. Balogun, Anofi O.T. Ashafa, Peter A. Ajibade|2020|Inorg.Chim.Acta|513|119942|doi:10.1016/j.ica.2020.119942
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.cc239t6g
title: CCDC 1945845: Experimental Crystal Structure Determination

description: Related Article: Nathaniel J. Shamle, Adedibu C. Tella, Joshua A. Obaleye, Fatai O. Balogun, Anofi O.T. Ashafa, Peter A. Ajibade|2020|Inorg.Chim.Acta|513|119942|doi:10.1016/j.ica.2020.119942
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.cc23d1zk
title: CCDC 1948008: Experimental Crystal Structure Determination

description: Related Article: Kurtis M. Carsch,  James T. Lukens,  Ida M. DiMucci,  Diana A. Iovan,  Shao-Liang Zheng,  Kyle M. Lancaster,  Theodore A. Betley|2020|J.Am.Chem.Soc.|142|2264|doi:10.1021/jacs.9b09616
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.cc23d28w
title: CCDC 1948017: Experimental Crystal Structure Determination

description: Related Article: Kurtis M. Carsch,  James T. Lukens,  Ida M. DiMucci,  Diana A. Iovan,  Shao-Liang Zheng,  Kyle M. Lancaster,  Theodore A. Betley|2020|J.Am.Chem.Soc.|142|2264|doi:10.1021/jacs.9b09616
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.cc23n4tr
title: CCDC 1955784: Experimental Crystal Structure Determination

description: Related Article: Norihisa Hoshino, Syunsaku Tamura, Tomoyuki Akutagawa|2020|Chem.-Eur.J.|26|2610|doi:10.1002/chem.201904553
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.cc23n4wt
title: CCDC 1955786: Experimental Crystal Structure Determination

description: Related Article: Norihisa Hoshino, Syunsaku Tamura, Tomoyuki Akutagawa|2020|Chem.-Eur.J.|26|2610|doi:10.1002/chem.201904553
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.cc23n4yw
title: CCDC 1955788: Experimental Crystal Structure Determination

description: Related Article: Norihisa Hoshino, Syunsaku Tamura, Tomoyuki Akutagawa|2020|Chem.-Eur.J.|26|2610|doi:10.1002/chem.201904553
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.cc23m9fh
title: CCDC 1954966: Experimental Crystal Structure Determination

description: Related Article: Tatiana R. G. Simões, Walace D. do Pim, Karina C. Metz, Marcos A. Ribeiro, Daniel C. A. Valente, Thiago M. Cardozo, Carlos B. Pinheiro, Emerson F. Pedroso, Bruno A. C. Horta, Cynthia L. M. Pereira, Gilmar P. de Souza, Humberto O. Stumpf|2020|New J.Chem.|44|2597|doi:10.1039/C9NJ05584C
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.cc244mtr
title: CCDC 1970664: Experimental Crystal Structure Determination

description: Related Article: Giovani Lindolfo Silva, Júlia Scaff Moreira Dias, Henrique Vieira Reis Silva, Jessica Da Silva Teixeira, Ijaiel Rian Brito De Souza, Elisalva Teixeira Guimarães, Diogo Rodrigo de Magalhães Moreira, Milena Botelho Pereira Soares, Marília Imaculada Frazão Barbosa, Antônio Carlos Doriguetto|2020|J.Inorg.Biochem.|205|111002|doi:10.1016/j.jinorgbio.2020.111002
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.cc23m9gj
title: CCDC 1954967: Experimental Crystal Structure Determination

description: Related Article: Tatiana R. G. Simões, Walace D. do Pim, Karina C. Metz, Marcos A. Ribeiro, Daniel C. A. Valente, Thiago M. Cardozo, Carlos B. Pinheiro, Emerson F. Pedroso, Bruno A. C. Horta, Cynthia L. M. Pereira, Gilmar P. de Souza, Humberto O. Stumpf|2020|New J.Chem.|44|2597|doi:10.1039/C9NJ05584C
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.