cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2611157
title: Large scale experiments for an alternative erosion control measure using sand-filled geosystems. Data set produced at the CIEM flume, Hydralab+

description: Sand-filled geosystems have the potential to mimic aspects of natural and nature-based features that can enhance the resilience of coastal areas challenged by climate, with additional (structural) reinforcement.

Knowledge gaps can be identified. For instance, (i) the sediment transport mechanisms around the geosystem; (ii) the amount of erosion in the leeside when the system is overtopped; (iii) quantitative contribution the geosystem for the wave overtopping reduction; and (iv) failure mechanisms of the geosystem under extreme conditions. Specific tests are proposed in order to fill the defined knowledge gap and answer the following research questions:


	How do nearshore coastal processes (wave transformation, sediment transport) and wave structure interactions during extreme events differ from those during more usual big storm conditions for situations with and without the geosystem?
	How do feedbacks between the hydrodynamics and morphology of natural and nature-based features affect flooding, erosion, and recovery of coastal areas when<br>
	erosion is limited by the 'geosystem'?
	How to conceive a dynamic coastal protection that can easily adapt to climate change in areas experiencing coastal squeeze (i.e. dense urban environment and human infrastructure with sea encroaching land) and vulnerable to coastal erosion and flooding risks?


The set of experiments, done at the large wave Flume (CIEM) in Barcelona, are here described in order to answer the previous questions. These experiments started on October 2018 and ended at the end of November 2018. These tests include different configurations: an initial benchmark tests in order to test the wave conditions were no geosystem protection is used, a second layout with a geotube used as a geosystem protection and finally a third layout were geobags are used as a protection.
DOI: 10.21223/p3/lxo6o2
title: Dataset for: Iron, zinc and vitamin C concentration of hundreds of potato landraces from Huancavelica

description: Samples of 310 potato landraces were collected and analyzed for iron and zinc concentration using XRF analysis and for Vitamin C using the spectrophotometer. The results will be included in a potato catalog that will be prepared by 2020
DOI: 10.25934/00002113.0
title: Data Package for study.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002113.1
title: IPD datapackage for study 'A 28-Day, Polysomnographic and Subjective Assessment of Vestipitant (15mg/Day) for the Treatment of Primary Insomnia in Adult Outpatients' and research request: 'Identification of biomarkers associated with specific sleep variables'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003287
title: Identification of biomarkers associated with specific sleep variables

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6083/2012-011_2018.06.11
title: Strategic Communications collection
DOI: 10.6073/pasta/bec8b1cf6ae75777b81e51e596623f39
title: Coweeta LTER Synoptic Data from 56 sampling sites located in the Upper Little Tennessee River Basin from 2009 (geomorphological)

description: Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. Each entity represents a table found in the downloadable relational database. NOTE: There is only 1 database to download regardless of which entity you choose. A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
DOI: 10.5287/bodleian:4r1va8pg2
title: Dialogue entre un brahmane et un jésuite sur la nécessité et l'enchaînement des choses: A digital edition
DOI: 10.17632/56p96dtz39.1
title: Data for: Enhanced nonlinear absorption and ultrafast carrier dynamics in graphene/gold nanoparticles nanocomposites

description: Experiment Data
DOI: 10.3886/e109102v1
title: Estimating the consequences of Norway’s national scale up of early childhood education and care (beginning in infancy) for early language skills

description: This project includes data access instructions and statistical syntax for the analyses reported in the AERA Open paper Estimating the consequences of Norway’s
national scale up of early childhood education and care (beginning in infancy)
for early language skills 
(Dearing, Zachrisson, Mykletun, &
Toppelberg, 2018).
DOI: 10.6083/2015-028_2018.12.12
title: Oregon Poison Center
DOI: 10.5281/zenodo.2611300
title: Ganon - references and reads evaluated

description: Accession codes and read sets used to evaluate ganon v0.1.0
DOI: 10.5281/zenodo.2611301
title: Ganon - references and reads evaluated

description: Accession codes and read sets used to evaluate ganon v0.1.0
DOI: 10.6083/2018-021_2018.07.30
title: Information Technology Group records
DOI: 10.5281/zenodo.2613070
title: DWD European Weather

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.3886/e109082v1
title: Face Shape and Personality

description: Applying Machine Learning, we are looking for a number of elusive lincks between appearance and behavior. The dataset obtained after the moderation of images and validation of questionnaires. The test (holdout) dataset included self-reported and predicted from face shape by a ML algorithm the ​​Big Five personality traits for  505 males  and 740 females. <br>
description: Presence of Common Scales: AgreeablenessConscientiousness<br>Extraversion<br>Neuroticism<br>Openness<br><br>
description: Validation dataset containing randomly selected 10% (1290) of paticipant.
description: Anonymous participants  volunteers recruited through social network advertisements completed Big Five questionnaire and provided face photo.
description: The initial sample included 25,202
participants who completed the questionnaire and uploaded a total of 77,346 photographs. The final dataset after the data
screening procedures comprised 12,447
valid questionnaires and 31,367 associated
photographs. <br>This is a Validation dataset containtd randomly selected 10% (1290) of paticipant.<br>The participants ranged in age from 18 to 60 (59.4% females, M= 27.61, SD = 12.73 and 40.6% man M= 32.60, SD = 11.85).<br>
DOI: 10.3886/e109082v1-11024
title: Face Shape and Personality

description: Applying Machine Learning, we are looking for a number of elusive lincks between appearance and behavior. The dataset obtained after the moderation of images and validation of questionnaires. The test (holdout) dataset included self-reported and predicted from face shape by a ML algorithm the ​​Big Five personality traits for  505 males  and 740 females. <br>
description: Presence of Common Scales: AgreeablenessConscientiousness<br>Extraversion<br>Neuroticism<br>Openness<br><br>
description: Validation dataset containing randomly selected 10% (1290) of paticipant.
description: Anonymous participants  volunteers recruited through social network advertisements completed Big Five questionnaire and provided face photo.
description: The initial sample included 25,202
participants who completed the questionnaire and uploaded a total of 77,346 photographs. The final dataset after the data
screening procedures comprised 12,447
valid questionnaires and 31,367 associated
photographs. <br>This is a Validation dataset containtd randomly selected 10% (1290) of paticipant.<br>The participants ranged in age from 18 to 60 (59.4% females, M= 27.61, SD = 12.73 and 40.6% man M= 32.60, SD = 11.85).<br>
DOI: 10.17632/pc5zzcyccb.1
title: Data for: Rapid Synthesis of 4-Alkynyl Coumarins and Tunable Electronic Properties of Emission Solvatochromic Fluorophores

description: This file contains the supporting information of the manuscript "Rapid Synthesis of 4-Alkynyl Coumarins and Tunable Electronic Properties of Emission Solvatochromic Fluorophores", selected 1H and 13C NMR spectra, UV/Vis, fluorescence spectra and linear regression analyses of LFER, and DFT and TD-DFT computational data.
DOI: 10.5281/zenodo.2612646
title: Multi-objective control in human walking: insight gained through simultaneous degradation of energetic and motor regulation systems

description: See ReadMe.txt
DOI: 10.5281/zenodo.2612647
title: Multi-objective control in human walking: insight gained through simultaneous degradation of energetic and motor regulation systems

description: See ReadMe.txt
DOI: 10.17632/kj9rrvz84z.1
title: Data for: Temporal similarity metrics for latent network reconstruction: The role of time-lag decay

description: Our dataset is gathered from different sources including various disciplines.
DOI: 10.5281/zenodo.2613074
title: Is conservation of center of mass mechanics a priority in human walking? Insights from leg-length asymmetry experiments

description: See ReadMe.txt
DOI: 10.5281/zenodo.2613075
title: Is conservation of center of mass mechanics a priority in human walking? Insights from leg-length asymmetry experiments

description: See ReadMe.txt
DOI: 10.17632/byvh656k98.2
title: Data for: predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning

description: This file contains the Python code for the pre-trained models of predictSLUMS in the five studied cities.
DOI: 10.17632/w5ttrcfxz4.1
title: Data for: Experimental and numerical study on heat transfer and flow characteristics in shell side of helically coiled tube heat exchanger based on multi-objective optimization

description: experimental data CFD_post formula
DOI: 10.25919/5c9ba9b912167
title: Parkes observations for project P981 semester 2018APRS_03

description: The purpose of this proposal is to have test time for a new mode that performs coherent dedispersion on pulsars of known dispersion measure and searches for giant pulses across the entire bandwidth of the ultra-broadband receiver. This is a very challenging computational task.
DOI: 10.5281/zenodo.2612830
title: Keyword frequency in popular tech media

description: <strong>Keywords trending in the tech media (01.2016-03.2019)</strong>

<strong>Sources</strong>


	Gigaom 0.5%
	Euractiv 0.9%
	The Conversation 1.3%
	Politico Europe 1.3%
	IEEE Spectrum 1.8%
	Techforge 4.3%
	Fastcompany 4.5%
	The Guardian (Tech) 9.2%
	Arstechnica 10.0%
	Reuters 11%
	Gizmodo 17.5%
	ZDNet 18.3%
	The Register 19.5%


<strong>Methodology</strong>


	Frequency of appearances for all unigrams and bigrams in the texts
	Frequency: number of appearances of every term divided by the number of published articles (for every month and source)
	This measure reveals how many times an expression has been mentioned on average per article
	Several media sources: a representative index is calculated with weighted average
	Average monthly change in the analised term's frequency is calculated by OLS regressions
	The dependent variable of the estimation is the frequency index, while the number of months since the beginning of the analysed period (January 2016) is the independent variable
	The regression coefficient (referred to as coef) shows by how much on average the analysed expression’s frequency changed with every observed month (marginal change of the frequency), revealing which keywords had the biggest monthly growth


<strong>Files</strong>


	unigrams: coefs_1weighted_site.csv
	bigrams: coefs_2weighted_site.csv
DOI: 10.7910/dvn/7nrleg
title: Woods & Poole Complete US Dataset

description: Provides annual historical data from 1970 (some variables begin in 1990) and annual projections to 2050 of population by race, sex, and age, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. Covers the U.S. total, and all regions, states, counties, and CBSAs.
DOI: 10.5281/zenodo.2612862
title: Co-occurrences of trending keywords in popular tech media

description: <strong>Co-occurrences of trending keywords in the tech media (01.2016-03.2019)</strong>

<strong>Sources</strong>


	Gigaom 0.5%
	Euractiv 0.9%
	The Conversation 1.3%
	Politico Europe 1.3%
	IEEE Spectrum 1.8%
	Techforge 4.3%
	Fastcompany 4.5%
	The Guardian (Tech) 9.2%
	Arstechnica 10.0%
	Reuters 11%
	Gizmodo 17.5%
	ZDNet 18.3%
	The Register 19.5%


<strong>Methodology</strong>


	Exploring the relationship between topics
	Pairs of terms which are mentioned together in media articles
	Most trending social issues have been selected (e.g. 'metoo', 'gdpr')
	The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams
	The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles
	A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)


<strong>Files</strong>

unigram-unigram co-occurrences: cooc11weighted.csv

unigram-bigram co-occurrences: cooc12weighted.csv

bigram-unigram co-occurrences: cooc21weighted.csv

bigram-bigram co-occurrences: cooc22weighted.csv<br>
DOI: 10.25920/yjrc-zj59
title: Cr-Fe-Ni Sigma Phase Finite Temperature Calculations

description: The Cr-Fe-Ni system is of great technological importance and is a fundamental part of many key alloys.
 			The sigma phase, much like other topologically close-packed phases, is a brittle phase that is detrimental to the properties of the alloys in which it forms.
   			This work uses first-principles calculations based on density functional theory (DFT) to develop a description for the sigma phase using a 5 sublattice model
    		with magnetic configurations considered. A high-throughput DFT workflow for efficient, robust relaxation of structures and calculation of finite temperature
	 		properties was written and implemented using the atomate software package. A CALPHAD model for the sigma phase was developed automatically using the ESPEI
	  		software package. The energy of the electronic structure was then assessed to determine the stability. From this the interaction parameters will be determined
	   		using ESPEI in order to work toward a more complete description of the Cr-Fe-Ni system.
DOI: 10.5281/zenodo.2611738
title: Dataset from Computational modeling of anthocyanin pathway evolution: Biases, hotspots, and trade-offs

description: This directory contains the scripts used to run simulations, Jupyter notebook with complete analysis, and serialized (pickled) raw simulated dataset from our paper "<em>Computational modeling of anthocyanin pathway evolution: Biases, hotspots, and trade-offs</em>". These materials are referenced in the main text and supplemental text of the publication. The purpose of this repository is to facilitate replication of our analysis by any interested parties.
DOI: 10.5281/zenodo.2611739
title: Dataset from Computational modeling of anthocyanin pathway evolution: Biases, hotspots, and trade-offs

description: This directory contains the scripts used to run simulations, Jupyter notebook with complete analysis, and serialized (pickled) raw simulated dataset from our paper "<em>Computational modeling of anthocyanin pathway evolution: Biases, hotspots, and trade-offs</em>". These materials are referenced in the main text and supplemental text of the publication. The purpose of this repository is to facilitate replication of our analysis by any interested parties.
DOI: 10.5517/ccdc.csd.cc1jqgc2
title: CCDC 1421764: Experimental Crystal Structure Determination

description: Related Article: Debobrata Sheet, Abhijit Bera, Rahul Dev Jana, Tapan Kanti Paine|2019|Inorg.Chem.|58|4828|doi:10.1021/acs.inorgchem.8b03288
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.cc1jqh2t
title: CCDC 1421786: Experimental Crystal Structure Determination

description: Related Article: Debobrata Sheet, Abhijit Bera, Rahul Dev Jana, Tapan Kanti Paine|2019|Inorg.Chem.|58|4828|doi:10.1021/acs.inorgchem.8b03288
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.cc1p9ktc
title: CCDC 1558333: Experimental Crystal Structure Determination

description: Related Article: Luyao Xu, Yanmin Li, Mengmeng Duan, Yanxin Li, Moxuan Han, Jiahui Wu, Yinghui Wang, Kexin Dong, Zhonglu You|2019|Polyhedron|165|138|doi:10.1016/j.poly.2019.03.016
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.cc1p9kvd
title: CCDC 1558334: Experimental Crystal Structure Determination

description: Related Article: Luyao Xu, Yanmin Li, Mengmeng Duan, Yanxin Li, Moxuan Han, Jiahui Wu, Yinghui Wang, Kexin Dong, Zhonglu You|2019|Polyhedron|165|138|doi:10.1016/j.poly.2019.03.016
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.cc1pm27m
title: CCDC 1567460: Experimental Crystal Structure Determination

description: Related Article: Dong Meng,  Guogang Liu,  Chengyi Xiao,  Yanjun Shi,  Lei Zhang,  Lang Jiang,  Kim K. Baldridge,  Yan Li,  Jay S. Siegel,  Zhaohui Wang|2019|J.Am.Chem.Soc.|141|5402|doi:10.1021/jacs.9b00053
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.cc1pm2bq
title: CCDC 1567463: Experimental Crystal Structure Determination

description: Related Article: Dong Meng,  Guogang Liu,  Chengyi Xiao,  Yanjun Shi,  Lei Zhang,  Lang Jiang,  Kim K. Baldridge,  Yan Li,  Jay S. Siegel,  Zhaohui Wang|2019|J.Am.Chem.Soc.|141|5402|doi:10.1021/jacs.9b00053
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: 10.5287/bodleian:mnwgoz6pb
title: Data for 'Pyridine as an additive to improve the deposition of continuous electrospun filaments'
DOI: 10.5517/ccdc.csd.cc1q47vy
title: CCDC 1583010: Experimental Crystal Structure Determination

description: Related Article: Maria Annunziata M. Capozzi, Angel Alvarez-Larena, Joan Francesc Piniella, Cosimo Cardellicchio|2019|New J.Chem.|43|5940|doi:10.1039/C8NJ05350B
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.cc1q47wz
title: CCDC 1583011: Experimental Crystal Structure Determination

description: Related Article: Maria Annunziata M. Capozzi, Angel Alvarez-Larena, Joan Francesc Piniella, Cosimo Cardellicchio|2019|New J.Chem.|43|5940|doi:10.1039/C8NJ05350B
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.2612888
title: Flye 2.4 assemblies

description: Various assemblies generated with Flye v2.4. A supplement for: https://github.com/fenderglass/Flye
DOI: 10.5517/ccdc.csd.cc1z2r71
title: CCDC 1819893: Experimental Crystal Structure Determination

description: Related Article: Muhammad Jawad Nasim, Karolina Witek, Annamária Kincses, Ahmad Yaman Abdin, Ewa Żesławska, Małgorzata Anna Marć, Márió Gajdács, Gabriella Spengler, Wojciech Nitek, Gniewomir Latacz, Elżbieta Karczewska, Katarzyna Kieć-Kononowicz, Jadwiga Handzlik, Claus Jacob|2019|New J.Chem.|43|6021|doi:10.1039/C9NJ00563C
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.