cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1q2778
title: CCDC 1581069: Experimental Crystal Structure Determination

description: Related Article: Irina G. Fomina, Andrey B. Ilyukhin, Andrey V. Gavrikov, Grygory G. Aleksandrov, Elena V. Fatyushina, Sergey Yu. Gavrilkin, Artem S. Bogomyakov, Igor L. Eremenko|2018|Inorg.Chim.Acta|482|8|doi:10.1016/j.ica.2018.05.033
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.cc1q2789
title: CCDC 1581070: Experimental Crystal Structure Determination

description: Related Article: Irina G. Fomina, Andrey B. Ilyukhin, Andrey V. Gavrikov, Grygory G. Aleksandrov, Elena V. Fatyushina, Sergey Yu. Gavrilkin, Artem S. Bogomyakov, Igor L. Eremenko|2018|Inorg.Chim.Acta|482|8|doi:10.1016/j.ica.2018.05.033
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.cc1qbpf5
title: CCDC 1589197: Experimental Crystal Structure Determination

description: Related Article: Jin-Ping Li, Yao-Cheng Shi|2018|Polyhedron|151|213|doi:10.1016/j.poly.2018.05.010
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.cc1zyl5p
title: CCDC 1845683: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2018|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.cc1zyl6q
title: CCDC 1845684: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2018|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.cc1zyl7r
title: CCDC 1845685: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2018|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: 10.5281/zenodo.1254278
title: Determining The Ec50 Of Tracer-6908 With Acvr1/Alk2-Nanoluc

description: Promega had provided us with Tracer-6908 that was developed collaboratively with SGC. Before the tracer can be used in nanoBRET assay for compound IC50, it is necessary to determine the optimal tracer concentration. The tracer concentration needs to be sufficient to produce adequate BRET signal while at the same time low enough to not obscure the competition by test compounds.

The blog post for this Zenodo page is as following:

https://opennotebook.thesgc.org/?p=1282&preview=true
DOI: 10.5281/zenodo.1254279
title: Determining The Ec50 Of Tracer-6908 With Acvr1/Alk2-Nanoluc

description: Promega had provided us with Tracer-6908 that was developed collaboratively with SGC. Before the tracer can be used in nanoBRET assay for compound IC50, it is necessary to determine the optimal tracer concentration. The tracer concentration needs to be sufficient to produce adequate BRET signal while at the same time low enough to not obscure the competition by test compounds.

The blog post for this Zenodo page is as following:

https://opennotebook.thesgc.org/?p=1282&preview=true
DOI: 10.5517/ccdc.csd.cc1z9rkl
title: CCDC 1826630: Experimental Crystal Structure Determination

description: Related Article: Seth A. Sharber, Kuo-Chih Shih, Arielle Mann, Fanny Frausto, Terry E. Haas, Mu-Ping Nieh, Samuel W. Thomas|2018|Chemical Science|9|5415|doi:10.1039/C8SC00980E
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.cc1z9rlm
title: CCDC 1826631: Experimental Crystal Structure Determination

description: Related Article: Seth A. Sharber, Kuo-Chih Shih, Arielle Mann, Fanny Frausto, Terry E. Haas, Mu-Ping Nieh, Samuel W. Thomas|2018|Chemical Science|9|5415|doi:10.1039/C8SC00980E
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.cc1z9rmn
title: CCDC 1826632: Experimental Crystal Structure Determination

description: Related Article: Seth A. Sharber, Kuo-Chih Shih, Arielle Mann, Fanny Frausto, Terry E. Haas, Mu-Ping Nieh, Samuel W. Thomas|2018|Chemical Science|9|5415|doi:10.1039/C8SC00980E
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.cc1z9rnp
title: CCDC 1826633: Experimental Crystal Structure Determination

description: Related Article: Seth A. Sharber, Kuo-Chih Shih, Arielle Mann, Fanny Frausto, Terry E. Haas, Mu-Ping Nieh, Samuel W. Thomas|2018|Chemical Science|9|5415|doi:10.1039/C8SC00980E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.1244331
title: X-Ray Ct Based Fem Model Data Of Non-Crimp Fabric Based Fibre Composite

description: The current data is published alongside the below ECCM 2018 conference contribution:

Jespersen, K. M., Asp, L. E., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). X-ray tomography based finite element modelling of non-crimp fabric based fibre composite. In 18th European Conference on Composite Materials (pp. 1–8).
DOI: 10.5281/zenodo.1244332
title: X-Ray Ct Based Fem Model Data Of Non-Crimp Fabric Based Fibre Composite

description: The current data is published alongside the below ECCM 2018 conference contribution:

Jespersen, K. M., Asp, L. E., Hosoi, A., Kawada, H., & Mikkelsen, L. P. (2018). X-ray tomography based finite element modelling of non-crimp fabric based fibre composite. In 18th European Conference on Composite Materials (pp. 1–8).
DOI: 10.5517/ccdc.csd.cc1zyhjy
title: CCDC 1845601: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Scott G. Stewart, Sven S. Kampmann|2018|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.cc1zyhl0
title: CCDC 1845603: Experimental Crystal Structure Determination

description: Related Article: Song Yang|2018|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.cc1zyhm1
title: CCDC 1845604: Experimental Crystal Structure Determination

description: Related Article: Song Yang|2018|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: 10.17034/2578db16-66fd-44bd-8c91-fb93dc2762fb
title: Micromechanical analysis of mode I interlaminar crack propagation between angled plies

description: Supporting data
DOI: 10.5517/ccdc.csd.cc1zyhr5
title: CCDC 1845608: Experimental Crystal Structure Determination

description: Related Article: Song Yang|2018|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.cc1zyhs6
title: CCDC 1845609: Experimental Crystal Structure Determination

description: Related Article: Song Yang|2018|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.cc1zyht7
title: CCDC 1845610: Experimental Crystal Structure Determination

description: Related Article: Song Yang|2018|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: 10.5281/zenodo.898212
title: Cross-Verification Of The Global Gyrokinetic Codes Gene And Xgc

description: Datasets for the gurokinetic benchmark (heat flux and log(T) gradient as function fo space and time) described in "Cross-verification of the global gyrokinetic codes GENE and XGC"
DOI: 10.5281/zenodo.1254229
title: Data From: Individual Movement - Sequence Analysis Method (Im-Sam): Characterising Spatio-Temporal Patterns Of Animal Trajectories Across Scales And Landscapes

description: Dataset included in Zenodo supports the analyses performed in "<em>Individual Movement - Sequence Analysis Methods (IM-SAM) characterising spatio-temporal patterns of animal trajectories across scales and landscapes.</em>"

The dataset includes one RDS file, that can be easily loaded into R using the readRDS function. The RDS file consists out of a list including two objects per animal:


	Object 1 contains a data frame with the real and simulated sequences for an animal. e.g., ls[[1]][[1]] 
	Object 2 contains the home range in raster format of an animal. e.g., ls[[1]][[2]]


The data frames in object 1 contain real habitat use sequences and corresponding simulated habitat use sequences generated in the home range of the specific individual (900 simulated sequences: 6 habitat selection rules x 3 selection coefficients x 50 repetitions). Open and closed habitats are respectively encoded by 0 and 1. The first 96 columns of each row in a data frame represent a 16-day habitat use sequence, with a fixed 4-hour relocation interval (0, 4, 8, 12, 16 and 20h). Column names are named as follows: Day_1_0h, Day_1_4h,..., Day_16_20h. In the next columns we provide the selection coefficients (columns 97-99), the habitat selection rules (or pattern, columns 100-102) and the number of missing values (mvs, columns, 103-104) for each of the real and simulated sequences. Note that simulated sequences have no missing values (i.e. values are always 0.00) and for real sequences there is no selection coefficient or habitat selection rule (i.e. values are always xxx).

Rownames of simulated sequences are composed out of the habitat selection rule (c, o, a24, a33, a42 and u), the selection coefficient (5, 10, 50) and the replicate (1 to 50), separated by dashes. For example, the first simulated sequence in the first data frame (ls[[1]][[1]][1,]) is described as a24_10_1. The rownames of real sequences instead are composed out of the individuals' identifier, the biweekly period (1 to 23) and the year. For example, the first real sequence in the first data frame (ls[[1]][[1]][901,]) is described as 1_5_2006.

<br>
DOI: 10.5281/zenodo.898211
title: Cross-Verification Of The Global Gyrokinetic Codes Gene And Xgc

description: Datasets for the gurokinetic benchmark (heat flux and log(T) gradient as function fo space and time) described in "Cross-verification of the global gyrokinetic codes GENE and XGC"
DOI: 10.25625/jj1uix
title: Replication Data for: Gent university library catalog

description: Gent university library
DOI: 10.5281/zenodo.1254546
title: An Automatic Neuroimaging Infrastructure For Synthesis And Analysis Of Structural Mri Data

description: We    have    designed,    implemented    and    distributed    a    fully  automatic    neuroimaging    infrastructure  for  the  synthesis  and analysis of structural  magnetic resonance imaging (MRI) data.   The  framework  provides  a  concrete  environment  for  the quantitative  validation  of  various methods  for  the analysis  of  brain  asymmetries,  for  comparisons of methods and measures of brain shape asymmetry,  and possibly for clarifying contradicting neuroimaging findings of brain lateralizations.

See https://sites.google.com/site/brainmorphorg/home  

and 

A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry. NeuroImage , 100: 444 - 459, 2014 

for more information.
description: {"references": ["A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry.\u00a0NeuroImage , 100: 444 - 459, 2014"]}
DOI: 10.5281/zenodo.1254547
title: An Automatic Neuroimaging Infrastructure For Synthesis And Analysis Of Structural Mri Data

description: We    have    designed,    implemented    and    distributed    a    fully  automatic    neuroimaging    infrastructure  for  the  synthesis  and analysis of structural  magnetic resonance imaging (MRI) data.   The  framework  provides  a  concrete  environment  for  the quantitative  validation  of  various methods  for  the analysis  of  brain  asymmetries,  for  comparisons of methods and measures of brain shape asymmetry,  and possibly for clarifying contradicting neuroimaging findings of brain lateralizations.

See https://sites.google.com/site/brainmorphorg/home  

and 

A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry. NeuroImage , 100: 444 - 459, 2014 

for more information.
description: {"references": ["A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry.\u00a0NeuroImage , 100: 444 - 459, 2014"]}
DOI: 10.5281/zenodo.1254077
title: Self-Paced Cycling Exercise, Prefrontal Cortex And Executive Function: A Tdcs Study

description: This research will shed new light into the bidirectional relationship between acute aerobic exercise, brain and cognition. This is based on the particular role of executive (cognitive) function during exercise. The rationale of our study is that stimulation of the prefrontal cortex that has been repeatedly associated with executive function, would facilitate or impair self-paced aerobic exercise. This would also affect cognitive performance immediately after exercise. We will use a modified flanker’s task as a form of assessing executive function (see below for further details). The flanker’s task implies two different stimuli, one congruent and one incongruent. Relative to “congruent” stimuli, these “incongruent” stimuli are usually accompanied by increased response times (RTs) and decreased accuracy. To stimulate the prefrontal cortex, we use transcranial direct-current stimulation (tDCS). tDCS is able to induce cortical changes by hyperpolarizing (anodal) or depolarizing (cathodal) neuron’s resting membrane potential.<br>
Therefore, the hypotheses of this research are:<br>
1) Anodal stimulation (relative to sham and cathodal stimulation) will improve self-paced aerobic exercise and, consequently it will also improve subsequent cognitive performance.<br>
2) Cathodal stimulation (relative to sham and anodal stimulation) will impair self-paced aerobic exercise and subsequent cognitive performance.<br>
DOI: 10.5523/bris.ojcw17r060lu21o7lbjeoftbf
title: Boreham JVGR 2018 Rootless cone data

description: High resolution DTMs, raw and processed rootless cone location and size data, and processing scripts
DOI: 10.5281/zenodo.1254233
title: Individual Volumes And Masses Of 50 Mussels (Mytilus Edulis), Collected At Agon (France) The 4Th April 2018

description: Individual volumes (ml) and masses (g) of 50 mussels (<em>Mytilus edulis</em>), collected at Agon (France) the 4th april 2018 . the volume was measured by overflow by reading the volumes difference obtained when an individual is immersed in a known volume of water (20ml). The mass is measured with an electronic scale. This dataset was used to convert mussel volume (Hectolitre) in mass (Kilogram) in an historical time series during my Matser 1 thesis in 2018 : Study of commercial fishs in Seine Bay by use the historical administrative reports for 1866 at 1980 - UFR Sciences et Techniques du Havre (France). The associated model (a linear regression : weight = a*Volume + b) is presented in the R script "ana_mussel.R".
DOI: 10.5281/zenodo.1254234
title: Individual Volumes And Masses Of 50 Mussels (Mytilus Edulis), Collected At Agon (France) The 4Th April 2018

description: Individual volumes (ml) and masses (g) of 50 mussels (<em>Mytilus edulis</em>), collected at Agon (France) the 4th april 2018 . the volume was measured by overflow by reading the volumes difference obtained when an individual is immersed in a known volume of water (20ml). The mass is measured with an electronic scale. This dataset was used to convert mussel volume (Hectolitre) in mass (Kilogram) in an historical time series during my Matser 1 thesis in 2018 : Study of commercial fishs in Seine Bay by use the historical administrative reports for 1866 at 1980 - UFR Sciences et Techniques du Havre (France). The associated model (a linear regression : weight = a*Volume + b) is presented in the R script "ana_mussel.R".
DOI: 10.5281/zenodo.1254238
title: Eu Demographic Change Experts

description: Network data on demographic experts in the European, coded from work team participation and event attendance. The data has been anonymized.
DOI: 10.5281/zenodo.1254239
title: Eu Demographic Change Experts

description: Network data on demographic experts in the European, coded from work team participation and event attendance. The data has been anonymized.
DOI: 10.5281/zenodo.1254203
title: Tomographic X-Ray Data Of A Lotus Root Filled With Attenuating Objects

description: This is an open-access dataset of tomographic X-ray data of a slice of a lotus root. The dataset consists of


	the X-ray sinogram of a single 2D slice of the lotus root with two different resolutions, and
	the corresponding measurement matrices modeling the linear operation of the X-ray transform.


Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

Also MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization are provided.

Documentation of the dataset is available at arxiv.org/abs/1609.07299. See also www.fips.fi/dataset.php.
DOI: 10.5281/zenodo.1254204
title: Tomographic X-Ray Data Of A Lotus Root Filled With Attenuating Objects

description: This is an open-access dataset of tomographic X-ray data of a slice of a lotus root. The dataset consists of


	the X-ray sinogram of a single 2D slice of the lotus root with two different resolutions, and
	the corresponding measurement matrices modeling the linear operation of the X-ray transform.


Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

Also MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization are provided.

Documentation of the dataset is available at arxiv.org/abs/1609.07299. See also www.fips.fi/dataset.php.
DOI: 10.17632/vknbt5x7pm.1
title: Data for: How do Islamic versus conventional equity markets react to political risk? Dynamic panel evidence

description: The empirical analysis draws on annual data for 40 economies, divided equally into developed and developing ones. The list of advanced countries comprises Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Hong Kong, Italy, Japan, Netherlands, New Zealand, Norway, Singapore, Spain, Sweden, Switzerland, United Kingdom, and the United States. The sample of developing countries includes Argentina, Brazil, Chile, China, Colombia, Czech Republic, Egypt, Greece, Hungary, India, Indonesia, Malaysia, Mexico, Peru, Poland, Russia, South Africa, South Korea, Thailand, and Turkey. The investigation period spans January 2005 through December 2016. The core data set for each country consists of the US-dollar denominated price levels of the MSCI Islamic stock market index and its conventional counterpart, along with levels of political risk.
DOI: 10.5281/zenodo.1254171
title: Dataset For Communicating Noninferiority Paper

description: Dataset for communicating noninferiority paper.
DOI: 10.5281/zenodo.1254172
title: Dataset For Communicating Noninferiority Paper

description: Dataset for communicating noninferiority paper.