cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10258081
title: Reproduction package for "What happened before?. Disks around the precursors of young Herbig Ae/Be stars"

description: This is a basic reproduction package for the paper "What happened before?. Disks around the precursors of young Herbig Ae/Be stars"  by Valegard et al. (2021)(https://doi.org/10.1051/0004-6361/202039802). It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.10258082
title: Reproduction package for "What happened before?. Disks around the precursors of young Herbig Ae/Be stars"

description: This is a basic reproduction package for the paper "What happened before?. Disks around the precursors of young Herbig Ae/Be stars"  by Valegard et al. (2021)(https://doi.org/10.1051/0004-6361/202039802). It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.10260039
title: Varieties SNPs-based sequencies (4)
DOI: 10.5281/zenodo.10260040
title: Varieties SNPs-based sequencies (4)
DOI: 10.25345/c5348gs8t
title: MassIVE MSV000093569 - GNPS - Dataset Creation from GNPS Molcular Networking - f884a88d38134c69bb951be15ffc9f9d
title: LESA analysis of natural Trichodesmium colonies from the Red sea and laboratory cultured Trichodesmium IMS101 colonies.
DOI: 10.6084/m9.figshare.24745983
title: Supplementary Material for: The hearing aid effect across diverse African populations and various hearing device modalities

description: Introduction: The stigma associated with wearing hearing aids, known as the "hearing aid effect," remains a significant issue in hearing healthcare. Despite notable changes in the look and feel of hearing aids over the last decade, little is known about the influence of socioeconomic factors on the perception of different hearing devices in a socioeconomically diverse setting. Objective: To determine the hearing aid effect across a range of hearing devices and its association with socioeconomic factors, namely area of residence and level of education across African communities. Method: The study used a cross-sectional design with 322 participants (161 rural, 161 urban); mean age 31.9 years (14.7 SD). Participants rated photographs of seven different styles of devices [standard behind-the-ear hearing aid (BTE HA) with an earmould, mini BTE HA with a slim tube (ST), in-the-canal (ITC) HA, Airpod, receiver-in-canal (RIC), completely-in-canal (CIC) HA, and Personal Sound Amplification Product (PSAP)] worn by a peer model using a validated scale of eight attributes (attractiveness , age, success, hardworking, trustworthiness, intelligence, friendliness, education). The ratings of the BTE HA with earmould were used as a benchmark for comparison. Results: No hearing aid effect was observed across all participants (n=322) with device ratings ranging between neutral and positive. Significant differences between device ratings were evident for attractiveness for ST and PSAP and trustworthiness for ITC. In terms of residence, urban participants provided more favorable ratings compared to rural participants, with significant differences across three attribute ratings: hardworking for ST; attractiveness, hardworking for ITC; age for RIC and Airpod and hardworking for PSAP. For level of education, significant differences were found for attributes of attractiveness (H = 13.5; p = 0.001) for ITC; attractiveness (H = 14.7, p = 0.001) for PSAP; age (H = 9.5; p = 0.009) for RIC; age (H = 14.3; p&lt;0.001) and intelligence (H = 15.1; p&lt; 0.001) for Airpod and; hardworking (H =11.9, p = 0.003) for ST. Conclusion: Overall, participants had a neutral to positive view of hearing devices with preferences for less visible, conventionally styled devices. Socioeconomic variables such as educational attainment and geographical location influence perceptions of hearing devices emphasizing the importance of taking these aspects into account when prescribing hearing devices.
DOI: 10.6084/m9.figshare.24745983.v1
title: Supplementary Material for: The hearing aid effect across diverse African populations and various hearing device modalities

description: Introduction: The stigma associated with wearing hearing aids, known as the "hearing aid effect," remains a significant issue in hearing healthcare. Despite notable changes in the look and feel of hearing aids over the last decade, little is known about the influence of socioeconomic factors on the perception of different hearing devices in a socioeconomically diverse setting. Objective: To determine the hearing aid effect across a range of hearing devices and its association with socioeconomic factors, namely area of residence and level of education across African communities. Method: The study used a cross-sectional design with 322 participants (161 rural, 161 urban); mean age 31.9 years (14.7 SD). Participants rated photographs of seven different styles of devices [standard behind-the-ear hearing aid (BTE HA) with an earmould, mini BTE HA with a slim tube (ST), in-the-canal (ITC) HA, Airpod, receiver-in-canal (RIC), completely-in-canal (CIC) HA, and Personal Sound Amplification Product (PSAP)] worn by a peer model using a validated scale of eight attributes (attractiveness , age, success, hardworking, trustworthiness, intelligence, friendliness, education). The ratings of the BTE HA with earmould were used as a benchmark for comparison. Results: No hearing aid effect was observed across all participants (n=322) with device ratings ranging between neutral and positive. Significant differences between device ratings were evident for attractiveness for ST and PSAP and trustworthiness for ITC. In terms of residence, urban participants provided more favorable ratings compared to rural participants, with significant differences across three attribute ratings: hardworking for ST; attractiveness, hardworking for ITC; age for RIC and Airpod and hardworking for PSAP. For level of education, significant differences were found for attributes of attractiveness (H = 13.5; p = 0.001) for ITC; attractiveness (H = 14.7, p = 0.001) for PSAP; age (H = 9.5; p = 0.009) for RIC; age (H = 14.3; p&lt;0.001) and intelligence (H = 15.1; p&lt; 0.001) for Airpod and; hardworking (H =11.9, p = 0.003) for ST. Conclusion: Overall, participants had a neutral to positive view of hearing devices with preferences for less visible, conventionally styled devices. Socioeconomic variables such as educational attainment and geographical location influence perceptions of hearing devices emphasizing the importance of taking these aspects into account when prescribing hearing devices.
DOI: 10.5281/zenodo.10260111
title: IMAGE SSP1-Base ei38 unfold datapackage
DOI: 10.5281/zenodo.10260110
title: IMAGE SSP1-Base ei38 unfold datapackage
DOI: 10.5281/zenodo.10260112
title: IMAGE SSP2-Base ei38 unfold datapackage
DOI: 10.5281/zenodo.10260113
title: IMAGE SSP2-Base ei38 unfold datapackage
DOI: 10.5281/zenodo.10260095
title: Varieties SNPs-based sequencies (5)
DOI: 10.5281/zenodo.10260121
title: IMAGE SSP2-RCP26 ei38 unfold datapackage
DOI: 10.5281/zenodo.10260122
title: IMAGE SSP2-RCP26 ei38 unfold datapackage
DOI: 10.5281/zenodo.10260094
title: Varieties SNPs-based sequencies (5)
DOI: 10.5287/ora-avomzqyvb
title: HERC database of mapping studies, Version 9.0

description: An Excel spreadsheet listing studies mapping to EQ-5D from other patient-reported outcome measures or clinical instruments is now available here. The database presents details of the sample size, modelling methods and patient population, in addition to the citation details and source instruments that are mapped in each of the 194 studies meeting the inclusion criteria. An article summarising the methods of the literature review and the results of version 6.0 has been published in Health and Quality of Life Outcomes, updating the older article on version 2.0 of the database. The current version (8.0) is based on searches conducted in March 2020; the database will be updated approximately annually as new studies are published. This database lists published primary studies estimating mapping algorithms that estimate EQ-5D utilities from other quality of life measures and report the algorithm in sufficient detail to allow other researchers to estimate utilities on other data. Studies were identified from previous reviews and literature searches and searches will be updated approximately every year.
DOI: 10.34740/kaggle/dsv/7128874
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.24745980
title: Innovation, productivity, and export

description: Data used for our study on innovation, productivity, and export
DOI: 10.6084/m9.figshare.24745980.v1
title: Innovation, productivity, and export

description: Data used for our study on innovation, productivity, and export
DOI: 10.6084/m9.figshare.24745890
title: Satellite_TROPOMI_Kīlauea_Dataset.xlsx

description: This files includes dataset to replicate the satellite time series from figures 3 and 4 as well as the cloud corrected flux time series from figure S3 in the supplementary material.Please credit this work if used.
DOI: 10.6084/m9.figshare.24745890.v1
title: Satellite_TROPOMI_Kīlauea_Dataset.xlsx

description: This files includes dataset to replicate the satellite time series from figures 3 and 4 as well as the cloud corrected flux time series from figure S3 in the supplementary material.Please credit this work if used.
DOI: 10.5517/ccdc.csd.cc22bjgf
title: CCDC 1916744: Experimental Crystal Structure Determination

description: Related Article: Yuichiro Tokoro, Tetsuya Nakagawa, Shin-ichi Yamamoto, Toshio Koizumi, Toshiyuki Oyama|2023|Phys.Chem.Chem.Phys.(PCCP)|25|28113|doi:10.1039/D3CP03565D
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.10256481
title: Developmental Basis of SHH Medulloblastoma Heterogeneity (Taurine IHC Data)
DOI: 10.5281/zenodo.10256482
title: Developmental Basis of SHH Medulloblastoma Heterogeneity (Taurine IHC Data)
DOI: 10.6084/m9.figshare.24746019
title: Supplementary Material for: Stakeholder perceptions of complementary and alternative medicine from people living with rare diseases in Northern Ireland

description: Introduction: Only five percent of rare diseases have an orthodox modern medicine treatment available, therefore patients often utilise complementary and alternative medicines (CAMs) to help manage their condition. Several CAMs are supported by scientific evidence as effective for aiding management of rare diseases, however the methodological rigour of published literature may be sub-optimal and it can be difficult to show that an outcome is a direct result of the CAM intervention. Patients and healthcare professionals must weigh up the safety, efficacy, practical logistics, and financial implications of utilising CAMs for rare diseases. This study aimed to elucidate perspectives of stakeholders, (individuals with rare diseases, carers, family members, CAMs practitioners and healthcare professionals) on the usage of CAMs for rare diseases across Northern Ireland. Methods: An online survey was open January – February 2019 (n = 29 responses). Themes identified from the survey were then discussed with stakeholders in a semi-structured discussion workshop in March, 2019. Results: Patients with rare diseases reported CAMs as effective in the management of their condition, in particular acupuncture, dietary supplements, herbal medicines, homeopathy, hydrotherapy / swimming, kinesiology, mindfulness, pilates, reflexology, tai chi, and yoga. In this study, seven survey respondents experienced a negative side effect from CAMs. Workshop participants raised the lack of information available about CAMs and rare disease. Both the survey and workshop identified inequality of access with participants reporting CAMs to be expensive and expressing a desire for more therapies to be available within the United Kingdom (UK) National Healthcare Service (NHS). Conclusions: Many patients with rare diseases report that CAMs are helpful in the management of their condition. More information, high quality research, and education about CAMs is required for patients and healthcare professionals to help make informed decisions about the usage of CAMs for rare diseases. Improved communication, information, and health and social care in general would help individuals be more confident and knowledgeable about therapeutic options in relation to their rare disease(s).
DOI: 10.6084/m9.figshare.24746019.v1
title: Supplementary Material for: Stakeholder perceptions of complementary and alternative medicine from people living with rare diseases in Northern Ireland

description: Introduction: Only five percent of rare diseases have an orthodox modern medicine treatment available, therefore patients often utilise complementary and alternative medicines (CAMs) to help manage their condition. Several CAMs are supported by scientific evidence as effective for aiding management of rare diseases, however the methodological rigour of published literature may be sub-optimal and it can be difficult to show that an outcome is a direct result of the CAM intervention. Patients and healthcare professionals must weigh up the safety, efficacy, practical logistics, and financial implications of utilising CAMs for rare diseases. This study aimed to elucidate perspectives of stakeholders, (individuals with rare diseases, carers, family members, CAMs practitioners and healthcare professionals) on the usage of CAMs for rare diseases across Northern Ireland. Methods: An online survey was open January – February 2019 (n = 29 responses). Themes identified from the survey were then discussed with stakeholders in a semi-structured discussion workshop in March, 2019. Results: Patients with rare diseases reported CAMs as effective in the management of their condition, in particular acupuncture, dietary supplements, herbal medicines, homeopathy, hydrotherapy / swimming, kinesiology, mindfulness, pilates, reflexology, tai chi, and yoga. In this study, seven survey respondents experienced a negative side effect from CAMs. Workshop participants raised the lack of information available about CAMs and rare disease. Both the survey and workshop identified inequality of access with participants reporting CAMs to be expensive and expressing a desire for more therapies to be available within the United Kingdom (UK) National Healthcare Service (NHS). Conclusions: Many patients with rare diseases report that CAMs are helpful in the management of their condition. More information, high quality research, and education about CAMs is required for patients and healthcare professionals to help make informed decisions about the usage of CAMs for rare diseases. Improved communication, information, and health and social care in general would help individuals be more confident and knowledgeable about therapeutic options in relation to their rare disease(s).
DOI: 10.5281/zenodo.7997850
title: Multivariate Time Series data of Fatigued and Non-Fatigued Running from Inertial Measurement Units

description: The data captured came from mounting a single Shimmer3 IMU on the lumbar of 19 recreational runners. The participants were all regular runners and injury free. The study protocol was reviewed and approved by the human research ethics committee at University College Dublin.The data was collected in three segments; in the first, the participant completed a 400m run at a comfortable pace; the second segment consisted of a beep test which acted as the fatiguing protocol for this study; and the last segment where the runner was required to complete the 400m run at their comfortable pace, this time in their fatigued state. The beep test requires the runner to continuously run between two points 20m apart following an audio which produces `beeps' indicating when the person should begin running from one end to the other. The test eventually requires the runner to increase their pace as the interval between the `beeps' reduces as the test progresses. The fatiguing protocol ends when the runner is unable to keep up the increase in pace. The runs were all done on an outdoor running track. The sensor captured acceleration, angular velocity and magnetometer data throughout the three stages of the trials at a sampling rate of 256Hz. The data included here are segmented strides from the two 400m runs of each of the 19 participants. The labels on the data represent the participant number and whether it was a fatigued stride ('F') or a not fatigued stride ('NF').The data used from the sensors includes data from the accelerometer in three directions (X, Y, Z) and the gyroscope in three directions (X, Y, Z). The direction of each of the axis is relative to the sensor. Two extra signals, magnitude acceleration and magnitude gyroscope were derived from the component signals and included in the analysis.
Kindly cite one of the following papers when using this data:
B. Kathirgamanathan, B. Caulfield and P. Cunningham, "Towards Globalised Models for Exercise Classification using Inertial Measurement Units," 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), Boston, MA, USA, 2023, pp. 1–4, doi: 10.1109/BSN58485.2023.10331612
B. Kathirgamanathan, T. Nguyen, G. Ifrim, B. Caulfield, P. Cunningham. Explaining Fatigue in Runners using Time Series Analysis on Wearable Sensor Data, XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining, ECML PKDD, 2023, http://xkdd2023.isti.cnr.it/papers/223.pdf
DOI: 10.5281/zenodo.7997851
title: Multivariate Time Series data of Fatigued and Non-Fatigued Running from Inertial Measurement Units

description: The data captured came from mounting a single Shimmer3 IMU on the lumbar of 19 recreational runners. The participants were all regular runners and injury free. The study protocol was reviewed and approved by the human research ethics committee at University College Dublin.The data was collected in three segments; in the first, the participant completed a 400m run at a comfortable pace; the second segment consisted of a beep test which acted as the fatiguing protocol for this study; and the last segment where the runner was required to complete the 400m run at their comfortable pace, this time in their fatigued state. The beep test requires the runner to continuously run between two points 20m apart following an audio which produces `beeps' indicating when the person should begin running from one end to the other. The test eventually requires the runner to increase their pace as the interval between the `beeps' reduces as the test progresses. The fatiguing protocol ends when the runner is unable to keep up the increase in pace. The runs were all done on an outdoor running track. The sensor captured acceleration, angular velocity and magnetometer data throughout the three stages of the trials at a sampling rate of 256Hz. The data included here are segmented strides from the two 400m runs of each of the 19 participants. The labels on the data represent the participant number and whether it was a fatigued stride ('F') or a not fatigued stride ('NF').The data used from the sensors includes data from the accelerometer in three directions (X, Y, Z) and the gyroscope in three directions (X, Y, Z). The direction of each of the axis is relative to the sensor. Two extra signals, magnitude acceleration and magnitude gyroscope were derived from the component signals and included in the analysis.
Kindly cite one of the following papers when using this data:
B. Kathirgamanathan, B. Caulfield and P. Cunningham, "Towards Globalised Models for Exercise Classification using Inertial Measurement Units," 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), Boston, MA, USA, 2023, pp. 1–4, doi: 10.1109/BSN58485.2023.10331612
B. Kathirgamanathan, T. Nguyen, G. Ifrim, B. Caulfield, P. Cunningham. Explaining Fatigue in Runners using Time Series Analysis on Wearable Sensor Data, XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining, ECML PKDD, 2023, http://xkdd2023.isti.cnr.it/papers/223.pdf
DOI: 10.5258/soton/d2867
title: Data supporting the article "Effects of rotation on the rolling noise radiated by wheelsets in high-speed railways"

description: This dataset supporting the article: C Knuth, G Squicciarini, D Thompson, L Baeza, Effects of rotation on the rolling noise radiated by wheelsets in high-speed railways, Journal of Sound and Vibration, Volume 572, 2024, 118180, ISSN 0022-460X, https://doi.org/10.1016/j.jsv.2023.118180 This dataset contains the numerical data used to produce the Figures 2-12 of the publication, some of which are divided into sub-figures from (a)-(c). -It is separated into 15 Microsoft Excel files (.xls), one for each sub-figure. -The x- and y- data are stored as a matrix in the sheet, where the first column always corresponds to the x-data and the remaining to the y-data of the individual lines shown in the figure. -A description is available in each sheet, that refers the data to the corresponding line in the figure. -In Figure_5.xls three sheets are used because of the length of the data, where sheet 1 corresponds to frequencies from 10-3340 Hz, sheet 2 to 3340.1-6670 Hz, and sheet 3 to 6670.1-10000 Hz. -In the ZIP file the data is organised in excel files by figures. The simulations were carried out by combining the rotating wheelset model developed in this paper with the Track Wheel Interaction Noise Software (TWINS).
DOI: 10.14272/ipbroauzysqgdn-jhsdgapcsa-n.1
title: N,N'-(1,4-phenylene)bis(1-(4-azido-2,3,5,6-tetrafluorophenyl)methanimine)
title: InChI=1S/C20H6F8N8/c21-11-9(12(22)16(26)19(15(11)25)33-35-29)5-31-7-1-2-8(4-3-7)32-6-10-13(23)17(27)20(34-36-30)18(28)14(10)24/h1-6H/b31-5+,32-6+

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C20H6F8N8/c21-11-9(12(22)16(26)19(15(11)25)33-35-29)5-31-7-1-2-8(4-3-7)32-6-10-13(23)17(27)20(34-36-30)18(28)14(10)24/h1-6H/b31-5+,32-6+, and canonical SMILES descriptor[cheminf_000007]: Fc1c(/C=N/c2ccc(cc2)/N=C/c2c(F)c(F)c(c(c2F)F)N=[N+]=[N-])c(F)c(c(c1F)N=[N+]=[N-])F, and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-33100 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR) CHMO:0000630 | infrared absorption spectroscopy (IR) CHMO:0000480 | electron ionisation mass spectrometry (EI-MS) CHMO:0000498 | high-resolution mass spectrometry (HRMS) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations