cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bmy86
title: CCDC 2164118: Experimental Crystal Structure Determination

description: Related Article: Xiangyu Zhang, Zhiyuan Fu, Xinyan Jiang, Zhiqiang Yang, Shiyin Wang, Kai Wang, Zhijun Wu, Shi-Tong Zhang, Haichao Liu, Bing Yang|2022|Chem.Commun.|58|8250|doi:10.1039/D2CC02125K
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.cc2byj83
title: CCDC 2173325: Experimental Crystal Structure Determination

description: Related Article: Rubén Vicente, Eva Tudela, Miguel A. Rodríguez, Ángel L. Suárez-Sobrino, Alfredo Ballesteros|2022|Chem.Commun.|58|8206|doi:10.1039/D2CC02869G
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.cc2bz4gy
title: CCDC 2173920: Experimental Crystal Structure Determination

description: Related Article: Feriel Rekhroukh, Linxing Zhang, Richard Y. Kong, Andrew J. P. White, Mark R. Crimmin|2022|Chem.Commun.|58|8282|doi:10.1039/D2CC02931F
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.cc2bz4hz
title: CCDC 2173921: Experimental Crystal Structure Determination

description: Related Article: Feriel Rekhroukh, Linxing Zhang, Richard Y. Kong, Andrew J. P. White, Mark R. Crimmin|2022|Chem.Commun.|58|8282|doi:10.1039/D2CC02931F
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.cc29zdd3
title: CCDC 2144375: Experimental Crystal Structure Determination

description: Related Article: Pengwei Fang, Muqing Chen, Xinyu Zhang, Pingwu Du|2022|Chem.Commun.|58|8278|doi:10.1039/D2CC01242A
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: 10.6069/cjma-yj58
title: United States Health Care Spending Effectiveness 1996-2016

description: Health care spending effectiveness is the ratio of an increase in spending per case of illness or injury to an increase in disability-adjusted life-years (DALYs) averted per case. This dataset contains health care spending effectiveness ratios in the United States from 1996 to 2016. The ratios were created using comprehensive estimates of health care spending from the Disease Expenditure Study (DEX) and DALYs from the 2017 Global Burden of Disease study (GBD). Changes were decomposed over time to estimate spending per case and DALYs averted per case, while controlling for changes in population size, age-sex structure, and incidence or prevalence of cases.
DOI: 10.5519/qd.0j4zb8uf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (158 records)
DOI: 10.5255/ukda-sn-855885
title: The Effect of Intervening Sentences on Lexically Independent Priming and the Lexical Boost, 2017-2022

description: We conducted structural priming experiments in which participants first read aloud and completed a prime fragment using pictures, followed by a target fragment. We manipulated whether the structure in the prime consisted of an adjective followed by a noun (e.g., "the underlined ..." presented with a picture of an underlined cat or crown) or a noun followed by a relative clause (e.g., "the ... that is underlined" with a picture of an underlined cat or crown), as well as whether the noun in the prime and target was the same (cat) or different (crown and cat). Participants could complete the target fragment using either an adjective-noun or noun-relative clause structure (e.g., "The ..." presented with a picture of a highlighted cat). In Experiment 1, we also manipulated whether the target immediately followed the prime or there were two unrelated intervening sentences between the prime and target. In Experiments 2 and 3, there were two intervening sentences in all conditions. Experiments 1 and 2 had a single prime, whereas Experiment 3 had two primes that both had the same structure and same noun. The first of these primes was a complete noun phrase that participants read aloud, either an adjective-noun or noun-relative clause structure, followed by a prime and target fragment with pictures. All experiments were conducted online using the experiment software Gorilla.
DOI: 10.5255/ukda-sn-855892
title: Structural Priming of Adjunct Position, 2017-2022

description: Four experiments investigated structural priming of adjunct phrase position in a sentence in order to investigate how they are represented. In Experiment 1, we manipulated the position of an adverb within the prime sentence: it appeared either before the verb (The driver frequently shaved) or after it (The driver shaved frequently). Participants read the prime sentence aloud and then described a target picture using a word or words underneath, for example, a picture of a sailor shaving with the word “carefully” underneath it. The target verb was either the same as in the prime (both “shaved”) or different (“stretched” and “shaved”). In Experiment 2, we manipulated the position of a temporal phrase in the prime sentence: it appeared either at the beginning of the sentence (e.g., “before breakfast the driver stretched”) or at the end (“the driver stretched before breakfast”). As in Experiment 1, we also manipulated verb repetition between the prime and target. Experiments 3 and 4 were the same as Experiments 1 and 2 respectively, but instead of manipulating verb repetition, we manipulated the repetition of either the adverb (Experiment 3) or the temporal phrase (Experiment 4).
DOI: 10.5281/zenodo.6828772
title: Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning

description: This is the source code and data for the publication "Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning". Preprint - https://arxiv.org/abs/2112.09182
description: {"references": ["https://arxiv.org/abs/2112.09182"]}
DOI: 10.5281/zenodo.6828771
title: Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning

description: This is the source code and data for the publication "Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning". Preprint - https://arxiv.org/abs/2112.09182
description: {"references": ["https://arxiv.org/abs/2112.09182"]}
DOI: 10.5281/zenodo.6367504
title: Microclimate simulation output: "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens"

description: The following microclimate simulation dataset supports the paper "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens" by Mathias Schaefer, published in Urban Ecosystems (2022). "T0Simulation_11082020_output" contains data about the status quo simulation of the area of interest (500 m x 500 m x 60 m), whereas "T1Simulation_11082020_output" shows the results of the Green Infrastructure scenario described in the research article above. Please ensure enough memory space on your device, as both files have a size of approximately 25 GB (unzipped). The output files can be visualized with the ENVI-met Leonardo extension. The ENVI-met LITE-version is freely available and can be downloaded at the ENVI-met homepage. Alternatively, the included .NETCDF files can be imported as a multidimensional raster dataset in ArcGIS Pro. Files in the folder "atmosphere" represent meteorological parameters such as potential air temperature [°C], relative humidity [%], or wind speed [m/s]. Air pollution calculations like particulate matter concentrations [µg/m³] can be found in the folder "pollutants". The folder "buildings" contains building data for 3D visualizations of surface temperatures [°C].
DOI: 10.5281/zenodo.6367503
title: Microclimate simulation output: "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens"

description: The following microclimate simulation dataset supports the paper "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens" by Mathias Schaefer, published in Urban Ecosystems (2022). "T0Simulation_11082020_output" contains data about the status quo simulation of the area of interest (500 m x 500 m x 60 m), whereas "T1Simulation_11082020_output" shows the results of the Green Infrastructure scenario described in the research article above. Please ensure enough memory space on your device, as both files have a size of approximately 25 GB (unzipped). The output files can be visualized with the ENVI-met Leonardo extension. The ENVI-met LITE-version is freely available and can be downloaded at the ENVI-met homepage. Alternatively, the included .NETCDF files can be imported as a multidimensional raster dataset in ArcGIS Pro. Files in the folder "atmosphere" represent meteorological parameters such as potential air temperature [°C], relative humidity [%], or wind speed [m/s]. Air pollution calculations like particulate matter concentrations [µg/m³] can be found in the folder "pollutants". The folder "buildings" contains building data for 3D visualizations of surface temperatures [°C].
DOI: 10.5255/ukda-sn-854386
title: Effects of Visual Cues on the Lexical Boost Effect in Structural Priming, 2017-2021

description: Four structural priming experiments used a sentence fragment completion task in which participants had to complete both prime and target sentence fragments. We manipulated (1) the prime structure (prepositional object or double object eliciting ditransitive structure, e.g., the cleaner showed the ladder to ... or the cleaner showed the apprentice ...) and (2) whether a word in the prime was repeated in the target. Target fragments consisted of a subject noun phrase followed by a verb (e.g., A painter lent …), which participants could complete as either a prepositional object or double object structure. In Experiments 1 and 2, we manipulated the repetition of the subject noun, whereas in Experiments 3 and 4, we manipulated the repetition of the ditransitive verb. We used two different tasks in order to investigate whether structural priming was affected by whether participants could see the prime when completing the target. In Experiments 1 and 3, participants received booklets and provided hand-written completions to the sentence fragments, so they could see the prime and target simultaneously. In Experiments 2 and 4, participants typed responses to the sentence fragments that appeared one-by-one on a computer screen, so they could not see earlier fragments and completions. As the dependent variable, we scored whether participants completed the target fragments with a prepositional object or double object structure.
DOI: 10.5255/ukda-sn-855869
title: Is the Lexical Boost Restricted to the Licensing Verb: Experimental Data, 2017-2022

description: In three structural priming experiments, participants read a prime sentence aloud, followed by a target fragment that they had to complete. In Experiments 1 and 2, participants had to complete the targets by using words for pictures that were simultaneously presented, whereas in Experiment 3, there were no pictures. We manipulated (1) the prime structure (prepositional object/PO or double object ditransitive/DO structure, e.g., the painter hesitated to lend the apprentice the ladder or the painter hesitated to lend the ladder to the apprentice) and (2) whether the matrix verb in the prime (e.g., hesitated) was repeated in the target (e.g., The farmer hesitated to show …). In Experiment 1, the prime and target verbs were relatively frequent, whereas in Experiments 2 and 3, they were less frequent. As the dependent variable, we scored whether participants completed the target fragments with a prepositional object or double object structure.
DOI: 10.5255/ukda-sn-855871
title: Is the Lexical Boost Due to the Recency of the Repeated Word: Experimental Data, 2017-2022

description: In two structural priming experiments, participants read a Dutch prime sentence aloud, followed by a Dutch target fragment that they had to complete using pictures. Prime sentences were either double object (DO) or prepositional object (PO) ditransitive structures such as “Gauw bracht de arts de masseur een handdoek/een handdoek aan de masseur” (Quickly brought doctor the masseur a towel/a towel to the masseur). Targets consisted of sentence fragments that could be completed using either a DO or PO structure (e.g., “Onlangs leende de boxer …” Recently lent the boxer … with pictures of a boxer, shirt and football). In Experiment 1, we manipulated (1) the prime structure (DO or PO) and (2) whether the prime and target had the same subject noun (e.g., boxer). In Experiment 2, we manipulated whether the prime and target had the same verb (e.g., leende) or not, in addition to manipulating the prime structure. In both experiments, we scored whether participants completed the target fragments with a prepositional object or double object structure and used this as the dependent measure.
DOI: 10.34740/kaggle/dsv/3970130
title: Team Fight Tactics matches
DOI: 10.5281/zenodo.6526122
title: Multi-stakeholder research data management training as a tool to improve the quality, integrity, reliability and reproducibility of research: Quantitative data of the post-course surveys

description: Data contains doctoral students' and postdoc researchers' (n=168) self-ratings of their RDM competencies before and after the 3 ECTS credits "Basics of Research Data Management" (BRDM) trainings held 2019-2021 in the University of Turku and Åbo Akademi University, Finland. Moreover, data contains respondents' self-reported further learning needs.
DOI: 10.5281/zenodo.6526121
title: Multi-stakeholder research data management training as a tool to improve the quality, integrity, reliability and reproducibility of research: Quantitative data of the post-course surveys

description: Data contains doctoral students' and postdoc researchers' (n=168) self-ratings of their RDM competencies before and after the 3 ECTS credits "Basics of Research Data Management" (BRDM) trainings held 2019-2021 in the University of Turku and Åbo Akademi University, Finland. Moreover, data contains respondents' self-reported further learning needs.
DOI: 10.15468/4unvyg
title: A Checklist of Plants in the Lagos Coastal Environments

description: This is a checklist of plants growing around the Lagos coastal environments.
DOI: 10.6084/m9.figshare.20349339
title: Data collection instruments & questionnaires

description: Data collection instruments & questionnaires utilized in the study "Post-trial follow-up after a randomized clinical trial of COVID-19 convalescent plasma"
DOI: 10.6084/m9.figshare.20349339.v1
title: Data collection instruments & questionnaires

description: Data collection instruments & questionnaires utilized in the study "Post-trial follow-up after a randomized clinical trial of COVID-19 convalescent plasma"
DOI: 10.5281/zenodo.6876409
title: TecKnoGraph: Knowledge Graph from patents in C4ISTAR

description: This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two files: <strong>- TecKnoGraph-C4ISTAR-sample.csv</strong>: this file contains the KG in the form of triples where each element of the triple (source, relation, target) is tagged with categories. <strong>- patents.zip:</strong> this file contains data about 10,000 patents; each patent corresponds to a txt file. There is available a demo for using TecKnoGraph from examples of input text:<br> https://nicolamelluso-tecknograph-demo-tecknograph-streamlit-cnq4sm.streamlitapp.com/
DOI: 10.5281/zenodo.6876634
title: ARF / YA16Sdb collection of curated 16S rRNA alleles

description: A collection of 16s rRNA alleles filtered by read quality and annotation quality. This repository contains 376,934 full-length 16s rRNA alleles with validated (by majority-rules) taxonomic annotations. These are a subset of 727,361 full-length 16s rRNA alleles. The pipeline used to create this repo is also available at: github.com/jgolob/arf
DOI: 10.5281/zenodo.6876633
title: ARF / YA16Sdb collection of curated 16S rRNA alleles

description: A collection of 16s rRNA alleles filtered by read quality and annotation quality. This repository contains 376,934 full-length 16s rRNA alleles with validated (by majority-rules) taxonomic annotations. These are a subset of 727,361 full-length 16s rRNA alleles. The pipeline used to create this repo is also available at: github.com/jgolob/arf
DOI: 10.5519/qd.xxaa1s9p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29 records)
DOI: 10.5281/zenodo.6876866
title: Child Diabetes Study Data File (2022)

description: This file contains anonymised data from our publication titled, "Exploring the determinants of mental health, wellbeing, and lifestyle in 8-11 year old children with Type 1 diabetes and their healthy counterparts in Kuwait". The present, second version of the data file is identical to the first, but we have now added coding and unit information to the file. Abstract: Type 1 diabetes is a chronic disease with an early onset, but little is known about its psychological effects in middle childhood. The present study was the first to explore the relationship between mental health, wellbeing, and lifestyle of 8-11 years old children with Type 1 diabetes and their parents, and a healthy comparison group. A total of 200 parent-child dyads were recruited in diabetic clinics and from primary schools in Kuwait. Both groups completed a series of behavioural and physical assessments relating to health, wellbeing, and lifestyle. A significant relationship was found between higher Body Mass Index (BMI), and poorer mental health, including low academic self-esteem, depression, and anxiety in the young diabetes group. Diabetes group had significantly higher mean scores in mental health problems, and lower scores in wellbeing, compared with control group. Both groups had poor dietary habits and low levels of physical activity. Unlike previous studies, no differences were found between parents’ mental health for children with Type 1 diabetes and parents of the control group. Although elevated problem scores on a variety of indices remained within normal range, the pattern of results indicates that children with diabetes would profit from early screening and preventative intervention to reduce the likelihood of psychological and behavioural difficulties later on.
description: This study was supported by PhD funding from Kuwait Ministry of Health to Afrah Alazmi.
DOI: 10.5281/zenodo.6875341
title: Child Diabetes Study Data File (2022)

description: This file contains anonymised data from our publication titled, "Exploring the determinants of mental health, wellbeing, and lifestyle in 8-11 year old children with Type 1 diabetes and their healthy counterparts in Kuwait". The present, second version of the data file is identical to the first, but we have now added coding and unit information to the file. Abstract: Type 1 diabetes is a chronic disease with an early onset, but little is known about its psychological effects in middle childhood. The present study was the first to explore the relationship between mental health, wellbeing, and lifestyle of 8-11 years old children with Type 1 diabetes and their parents, and a healthy comparison group. A total of 200 parent-child dyads were recruited in diabetic clinics and from primary schools in Kuwait. Both groups completed a series of behavioural and physical assessments relating to health, wellbeing, and lifestyle. A significant relationship was found between higher Body Mass Index (BMI), and poorer mental health, including low academic self-esteem, depression, and anxiety in the young diabetes group. Diabetes group had significantly higher mean scores in mental health problems, and lower scores in wellbeing, compared with control group. Both groups had poor dietary habits and low levels of physical activity. Unlike previous studies, no differences were found between parents’ mental health for children with Type 1 diabetes and parents of the control group. Although elevated problem scores on a variety of indices remained within normal range, the pattern of results indicates that children with diabetes would profit from early screening and preventative intervention to reduce the likelihood of psychological and behavioural difficulties later on.
description: This study was supported by PhD funding from Kuwait Ministry of Health to Afrah Alazmi.
DOI: 10.5281/zenodo.6876526
title: TecKnoGraph: Knowledge Graph from patents in C4ISTAR

description: &lt;img src="https://github.com/nicolamelluso/TecKnoGraph-demo/blob/main/TecKnoGraph-Example%20Graph.png" alt="TecKnoGraph"&gt; This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two files: <strong>- TecKnoGraph-C4ISTAR-sample.csv</strong>: this file contains the KG in the form of triples where each element of the triple (source, relation, target) is tagged with categories. <strong>- patents.zip:</strong> this file contains data about 10,000 patents; each patent corresponds to a txt file. There is available a demo for using TecKnoGraph from examples of input text:<br> https://nicolamelluso-tecknograph-demo-tecknograph-streamlit-cnq4sm.streamlitapp.com/ In this repository it is possible to find also the appendix of the corresponding paper.
DOI: 10.5281/zenodo.6874145
title: TecKnoGraph: Knowledge Graph from patents in C4ISTAR

description: &lt;img src="https://github.com/nicolamelluso/TecKnoGraph-demo/blob/main/TecKnoGraph-Example%20Graph.png" alt="TecKnoGraph"&gt; This dataset contains a sample of Knowledge Graph (KG) created with TecKnoGraph. There are two files: <strong>- TecKnoGraph-C4ISTAR-sample.csv</strong>: this file contains the KG in the form of triples where each element of the triple (source, relation, target) is tagged with categories. <strong>- patents.zip:</strong> this file contains data about 10,000 patents; each patent corresponds to a txt file. There is available a demo for using TecKnoGraph from examples of input text:<br> https://nicolamelluso-tecknograph-demo-tecknograph-streamlit-cnq4sm.streamlitapp.com/ In this repository it is possible to find also the appendix of the corresponding paper.
DOI: 10.5517/ccdc.csd.cc29wh0q
title: CCDC 2141573: Experimental Crystal Structure Determination

description: Related Article: Tao Fan, Jin Song, Liu-Zhu Gong|2022|Angew.Chem.,Int.Ed.|61|e202201678|doi:10.1002/anie.202201678
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.