cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc22z9q3
title: CCDC 1935755: Experimental Crystal Structure Determination

description: Related Article: Lewis C. Wilkins, Youngmin Kim, Elishua D. Litle, François P. Gabbaï|2019|Angew.Chem.,Int.Ed.|58|18266|doi:10.1002/anie.201911662
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.cc23rxtm
title: CCDC 1959411: Experimental Crystal Structure Determination

description: Related Article: Manfred Bochmann, Isabelle Chambrier, David L. Hughes, Rebekah J. Jeans, Alan J. Welch, Peter H. M. Budzelaar|2020|Chem.-Eur.J.|26|939|doi:10.1002/chem.201904790
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.cc23rxvn
title: CCDC 1959412: Experimental Crystal Structure Determination

description: Related Article: Manfred Bochmann, Isabelle Chambrier, David L. Hughes, Rebekah J. Jeans, Alan J. Welch, Peter H. M. Budzelaar|2020|Chem.-Eur.J.|26|939|doi:10.1002/chem.201904790
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.cc23rxwp
title: CCDC 1959413: Experimental Crystal Structure Determination

description: Related Article: Manfred Bochmann, Isabelle Chambrier, David L. Hughes, Rebekah J. Jeans, Alan J. Welch, Peter H. M. Budzelaar|2020|Chem.-Eur.J.|26|939|doi:10.1002/chem.201904790
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.cc23rxxq
title: CCDC 1959414: Experimental Crystal Structure Determination

description: Related Article: Manfred Bochmann, Isabelle Chambrier, David L. Hughes, Rebekah J. Jeans, Alan J. Welch, Peter H. M. Budzelaar|2020|Chem.-Eur.J.|26|939|doi:10.1002/chem.201904790
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.5534471
title: LiftWEC deliverable D4.3: Dataset from 2D experimental test campaign

description: <em>This dataset contains 2-dimensional wave tank testing data for a wave-driven rotating hydrofoil model. The model tested is composed of one or two hydrofoils rotating around a horizontal axis, perpendicular to the wave direction. The model was tested in a range of regular and irregular seas. The data contains measurements of the model in the wave tank including; wave measurement, rotor position, forces on the hydrofoils, and torque on the power take off. This data is the first of two sets of wave tank data generated for the LiftWEC H2020 research project. This first set consists of results for the device tested in 2D, while the second set will contain results for tests conducted in 3D. "LiftWEC Deliverable D4.3 Report on 2D experimental testing dataset" describes this dataset and for a complete description of the test campaign, readers are directed to "LiftWEC Deliverable D4.4. </em> Report on physical modelling of 2D LiftWEC concepts <em>"</em>
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.6997658
title: Control model validation dataset

description: The dataset is associated with the LiftWEC H2020 research project deliverables "D3.3 Tool validation and extension report" and "D4.3 Open-access experimental data from 2D LiftWEC tests". The mathematical model is based on the hypothesis and equations presented in the D3.3, "Section 4. Validation of fundamental hypothesis for global model". The model has been programmed in Python, and the lift and drag coefficients were derived from the experimental data using the method of the least squares. The presented data shows a very good validation agreement between the developed model and experimental data in terms of tangential and radial forces generated on hydrofoils. The estimated values of lift and drag coefficients show great potential for wave energy extraction using rotating foils.
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5281/zenodo.6997657
title: Control model validation dataset

description: The dataset is associated with the LiftWEC H2020 research project deliverables "D3.3 Tool validation and extension report" and "D4.3 Open-access experimental data from 2D LiftWEC tests". The mathematical model is based on the hypothesis and equations presented in the D3.3, "Section 4. Validation of fundamental hypothesis for global model". The model has been programmed in Python, and the lift and drag coefficients were derived from the experimental data using the method of the least squares. The presented data shows a very good validation agreement between the developed model and experimental data in terms of tangential and radial forces generated on hydrofoils. The estimated values of lift and drag coefficients show great potential for wave energy extraction using rotating foils.
description: This work was produced as part of the LiftWEC Project. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 851885. This output reflects the views only of the author(s), and the European Union cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.6084/m9.figshare.20496374
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: Data tables
DOI: 10.6084/m9.figshare.20496374.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: Data tables
DOI: 10.6084/m9.figshare.20484357.v1
title: Prevalence, causes and impacts of human trafficking in Asian countries: A systematic review

description: The purpose of this study is to collect evidence on human trafficking in Asian countries. A systematic review methodology was used to search online databases including Sage Journals Online, Wiley Online, Hein Online, Taylor & Francis Online, Web of Science, and Scopus literature to amalgamate information on this issue. For the purposes of this article, 64 studies met the inclusion criteria after searching and screening a total number of 1278 studies. The findings of this study were classified under three categories: prevalence of human trafficking in Asia, causes of human trafficking in Asia (poverty and unemployment, environmental and manmade disaster, weak policies and corruption), and impacts of human trafficking including social, health, physical, psychological impacts. <br>
DOI: 10.5281/zenodo.6997758
title: Supplement materials

description: Supplement materials
DOI: 10.5281/zenodo.6997757
title: Supplement materials

description: Supplement materials
DOI: 10.6084/m9.figshare.20445153
title: raw data from Divergence in brain size and brain region volumes across wild guppy populations

description: This file contains all the raw data used for the analyses
DOI: 10.6084/m9.figshare.20445153.v1
title: raw data from Divergence in brain size and brain region volumes across wild guppy populations

description: This file contains all the raw data used for the analyses
DOI: 10.6084/m9.figshare.20496383
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS3 Data tables
DOI: 10.6084/m9.figshare.20496383.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS3 Data tables
DOI: 10.6084/m9.figshare.20496386
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS1 Data tables
DOI: 10.6084/m9.figshare.20496386.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS1 Data tables
DOI: 10.6084/m9.figshare.20496389
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS2 Data tables
DOI: 10.6084/m9.figshare.20496389.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS2 Data tables
DOI: 10.6084/m9.figshare.20496392.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS3 Data tables
DOI: 10.6084/m9.figshare.20496392
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS3 Data tables
DOI: 10.6084/m9.figshare.20496395.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS1 Data tables
DOI: 10.6084/m9.figshare.20496398.v1
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS2 Data tables
DOI: 10.6084/m9.figshare.20496395
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS1 Data tables
DOI: 10.6084/m9.figshare.20496398
title: Natural hydrogen seeps as analogues to inform monitoring of engineered geological hydrogen storage

description: TS2 Data tables
DOI: 10.34740/kaggle/ds/2410639
title: dewfncrrnum
DOI: 10.17179/excli2022-4986/supplementary_data
title: COVID-19 lockdown: Impairments of objective measurements of selected physical activity, cardiorespiratory and sleep parameters in trained fitness coaches

description: The COVID-19 outbreak resulted in the shutdown of athletic training facilities. Although the effects of these restrictions on daily activity and sleep patterns have been widely analyzed, the employed tools often lacked accuracy, and were based on subjective measures. This study assessed the effects of home confinement on objective physical activity (PA), physiological and sleep parameters in active individuals. Sixteen male elite fitness coaches (age: 29±3 years; height: 183±6 cm; body mass: 82±5 kg, body mass index: 24.7±1.8 kg/m2) participated in this retrospective study. One-way analysis of variance was conducted to analyze selected PA, physiological and sleep parameters collected by smartwatch (Garmin Fenix 6 pro, USA) data during four consecutive months [i.e., pre-confinement, 1st and 2nd months of confinement, and post-confinement, year 2020]. Ramadan intermittent fasting (RIF) month occurred during the 2nd month of confinement. Compared to pre-confinement, significant changes were registered for almost all parameters during the 1st and/or the 2nd month of confinements (p&lt;0.001), with (i) higher values for resting heart rate, sleep latency, and total, light and rapid eye movements sleep times (% change=7-523 %), and (ii) lower values for PA parameters, calories/day spent, average and highest respiratory rates, and deep sleep time during the home confinement period (% change=5-36 %). During the post-confinement month, all parameters regained pre-confinement values. In conclusion, home confinement-induced detraining negatively influenced the objective measurements of cardiorespiratory and sleep parameters among fitness coaches with a deeper effect during the 2nd month of home confinement, possibly due to the effect of RIF.
description: EXCLI Journal; 21:Doc1084; ISSN 1611-2156
DOI: 10.18112/openneuro.ds004248.v1.0.6
title: AMSI-DatasetB
DOI: 10.6084/m9.figshare.20437134
title: Li, J., Effects of OH radical and SO2 concentrations on photochemical reactions of mixed anthropogenic organic gases

description: Original data have been included
DOI: 10.6084/m9.figshare.20437134.v3
title: acp-2022-294

description: Original data have been included
DOI: 10.5281/zenodo.6988696
title: Resource-Rational Lossy-Context Surprisal (Model Predictions)

description: Resource-Rational Lossy-Context Surprisal is a computationally implemented model of how humans process language, predicting at what points in complex sentences they experience comprehension difficulty. It unifies the memory-based and expectation-based paradigms in psycholinguistics, and provides a more refined account of when hierarchical structure is difficult to comprehend for humans. This repository contains output of the model on a battery of test sentences exhibiting iterated recursive structure, described in associated publications on Resource-Rational Lossy-Context Surprisal. The filenames are referred to in the source code, to be published together with a forthcoming journal publication on the model. The model was first described in the following publication: <em>Lexical Effects in Structural Forgetting: Evidence for Experience-Based Accounts and a Neural Network Model</em> (Michael Hahn, Richard Futrell, Edward Gibson), 33rd Annual CUNY Human Sentence Processing Conference, 2020
DOI: 10.5281/zenodo.6988695
title: Resource-Rational Lossy-Context Surprisal (Model Predictions)

description: Resource-Rational Lossy-Context Surprisal is a computationally implemented model of how humans process language, predicting at what points in complex sentences they experience comprehension difficulty. It unifies the memory-based and expectation-based paradigms in psycholinguistics, and provides a more refined account of when hierarchical structure is difficult to comprehend for humans. This repository contains output of the model on a battery of test sentences exhibiting iterated recursive structure, described in associated publications on Resource-Rational Lossy-Context Surprisal. The filenames are referred to in the source code, to be published together with a forthcoming journal publication on the model. The model was first described in the following publication: <em>Lexical Effects in Structural Forgetting: Evidence for Experience-Based Accounts and a Neural Network Model</em> (Michael Hahn, Richard Futrell, Edward Gibson), 33rd Annual CUNY Human Sentence Processing Conference, 2020
DOI: 10.5281/zenodo.3457555
title: Insights into European research funders policies and practices - public dataset

description: This is the dataset arising from a survey of European research funders on Open Access (OA) and Research Data (RD) policies, commissioned by SPARC Europe, in consultation with representatives from the following organisations: ALLEA, the European Foundation Centre and Science Europe and a wider advisory group. Launched in the spring of 2019, the survey, which targeted about 400 funders, garnered just over 60 responses from 29 countries. The cohort includes important national funding agencies (almost 50%), pan-European funders, national and regional academies, foundations and philanthropic organisations and research charities.
DOI: 10.5281/zenodo.3689285
title: Insights into European research funders policies and practices - public dataset

description: This is the dataset arising from a survey of European research funders on Open Access (OA) and Research Data (RD) policies, commissioned by SPARC Europe, in consultation with representatives from the following organisations: ALLEA, the European Foundation Centre and Science Europe and a wider advisory group. Launched in the spring of 2019, the survey, which targeted about 400 funders, garnered just over 60 responses from 29 countries. The cohort includes important national funding agencies (almost 50%), pan-European funders, national and regional academies, foundations and philanthropic organisations and research charities.
DOI: 10.5281/zenodo.3538919
title: Interviewees and mapping of interview questions to areas of Innovation Diffusion Theory

description: This submission includes two files complementing the F1000Research article "Preprints and Scholarly Communication: Adoption, Practices, Drivers and Barriers" - https://doi.org/10.12688/f1000research.19619.1 The table '<strong>Extended data</strong>' shows how interview questions for our study were built based on the features of information diffusion theory (IDT) (Rogers, 2003). It should be noted that not all interview questions were asked to all stakeholder groups based on appropriateness and time available. Some questions in the table may appear to be repeated: this is because slightly different phrasing was used based on the stakeholder interviewed. Legend: Research Funder: RF Research Performing Organisation: RPO Preprint Server: PS Other Service Provider: OSP Engaged researcher: ER Unengaged researcher: UR The table '<strong>List of interviewees</strong>' includes all stakeholders interviewed in the context of this research. More information on this study is also available in the form of a report.
description: The study was funded by, and co-produced with, Knowledge Exchange (a group of national organisations from six European countries supporting research infrastructure), as part of their work on open-access policy and service development.
DOI: 10.5517/ccdc.csd.cc1jt7cy
title: CCDC 1424430: Experimental Crystal Structure Determination

description: Related Article: Andreas Denhof, Marian Olaru, Enno Lork, Stefan Mebs, Lilianna Chęcińska, Jens Beckmann|2020|Eur.J.Inorg.Chem.|2020|4093|doi:10.1002/ejic.202000800
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.cc1jt7dz
title: CCDC 1424431: Experimental Crystal Structure Determination

description: Related Article: Andreas Denhof, Marian Olaru, Enno Lork, Stefan Mebs, Lilianna Chęcińska, Jens Beckmann|2020|Eur.J.Inorg.Chem.|2020|4093|doi:10.1002/ejic.202000800
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.3240425
title: Interviewees and mapping of interview questions to areas of Innovation Diffusion Theory

description: This submission includes two files complementing the F1000Research article "Preprints and Scholarly Communication: Adoption, Practices, Drivers and Barriers" - https://doi.org/10.12688/f1000research.19619.1 The table '<strong>Extended data</strong>' shows how interview questions for our study were built based on the features of information diffusion theory (IDT) (Rogers, 2003). It should be noted that not all interview questions were asked to all stakeholder groups based on appropriateness and time available. Some questions in the table may appear to be repeated: this is because slightly different phrasing was used based on the stakeholder interviewed. Legend: Research Funder: RF Research Performing Organisation: RPO Preprint Server: PS Other Service Provider: OSP Engaged researcher: ER Unengaged researcher: UR The table '<strong>List of interviewees</strong>' includes all stakeholders interviewed in the context of this research. More information on this study is also available in the form of a report.
description: The study was funded by, and co-produced with, Knowledge Exchange (a group of national organisations from six European countries supporting research infrastructure), as part of their work on open-access policy and service development.
DOI: 10.5281/zenodo.3240426
title: Mapping of interview questions to areas of Innovation Diffusion Theory

description: This table shows how interview questions for our study were built based on the features of information diffusion theory (IDT) (Rogers, 2003). It should be noted that not all interview questions were asked to all stakeholder groups based on appropriateness and time available.

Some questions in the table may appear to be repeated: this is because slightly different phrasing was used based on the stakeholder interviewed.

Legend:


	Research Funder: RF
	Research Performing Organisation: RPO
	Preprint Server: PS
	Other Service Provider: OSP
	Engaged researcher: ER
	Unengaged researcher: UR
description: The study was funded by, and co-produced with, Knowledge Exchange (a group of national organisations from six European countries supporting research infrastructure), as part of their work on open-access policy and service development.
DOI: 10.5517/ccdc.csd.cc265px0
title: CCDC 2031272: Experimental Crystal Structure Determination

description: Related Article: Julia Beerhues, Hannes Aberhan, Tim-Niclas Streit, Biprajit Sarkar|2020|Organometallics|39|4557|doi:10.1021/acs.organomet.0c00614
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.cc2669b2
title: CCDC 2031843: Experimental Crystal Structure Determination

description: Related Article: Shu-kai Liu, Wen-Ching Chen, Glenn P. A. Yap, Tiow-Gan Ong|2020|Organometallics|39|4395|doi:10.1021/acs.organomet.0c00618
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.