cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-856172
title: Qualitative Interviews with NHS Staff During the Pandemic: An Investigation into Ethnic Inequalities Experienced During the Pandemic, 2020-2022

description: Prior to COVID-19, the NHS England Workforce Race Equalities Standard (WRES) found that ethnic minority staff experience considerably greater levels of workplace harassment and discrimination, lower pay, less control and poorer working conditions than White British staff [1]. Since the outbreak, these adverse working conditions have been exacerbated. Ethnic minority staff experience increased exposure to these workplace adversities, placement in more vulnerable positions, and disempowerment from complaining about deleterious working conditions. These ethnic disparities need to be addressed if we are to avoid the social, economic, and moral costs of excessive adverse mental health and occupational outcomes for ethnic minority staff. This study aims to identify ethnic inequalities in mental health and occupational outcomes amongst NHS staff during the COVID-19 pandemic. Interviews will be conducted with i) participants of the CHECK survey, ii) London healthcare practitioners (HCPs, e.g., nurses and healthcare assistants) who were interviewed as part of the Tackling Inequalities and Discrimination Experiences (TIDES) study before COVID-19, and iii) NHS managers and senior staff nationally. Findings will be used to develop education and training materials to support BAME NHS staff nationally through collaboration with psychologists (KCL Virtual Reality (VR) Lab), medical educators (e.g., Maudsley Learning) and equality and diversity professionals (Challenge Consultancy).
DOI: 10.25934/pr00005599.10
title: Available IPD datapackage for study 'A Phase II, Randomized Study of Atezolizumab (Anti-PD-L1 Antibody) Administered as Monotherapy or in Combination With Bevacizumab Versus Sunitinib in Patients With Untreated Advanced Renal Cell Carcinoma'

description: This multicenter, randomized, open-label study will evaluate the efficacy, safety and tolerability of atezolizumab as monotherapy or in combination with bevacizumab versus sunitinib in participants with histologically confirmed, inoperable, locally advanced or metastatic renal cell carcinoma who have not received prior systemic therapy either in the adjuvant or metastatic setting.
DOI: 10.5281/zenodo.7766251
title: Comprehensive Atlas of Almond R genes reveals new insight on NBS domain evolution

description: GFF file of the manually curated R genes in almond, the GFF file of the genes that are not R genes identified in the curation process and the genes that are now obsolete from the current reference annotation published in https://doi.org/10.1111/tpj.14538
DOI: 10.5255/ukda-sn-856351
title: Metadata for a Material Sociology of High-Frequency Trading, 2018-2022

description: Their main method of gathering data involved conducting interviews with professionals engaged in high-frequency trading and related activities, those employed by electronic trading platforms, and individuals with other market roles (such as broker-dealers). Additionally interviews were conducted with those who oversaw trading regulations and provided trading firms with software, hardware, and communication infrastructure. Furthermore industry events, such as meetings and training courses were attended, to further expand their knowledge. Interviewees were given guarantees that transcripts/notes would not be shared outside the project team, so they must remain confidential and other researchers cannot be given access to them.
DOI: 10.5255/ukda-sn-856348
title: Bilingual Experience and Cognitive Control, 2018-2022

description: This data collection entails a range of data collected from monolingual and bi/multilingual adult participants living in and around Birmingham, United Kingdom. This includes questionnaire data (mainly from the Language and Social Background questionnaire), EEG data collected during the execution of cognitive control tasks (Flanker task, Simon task, Colour-Shape switching task, Number-letter task) and structural MRI brain scans. For the majority of participants all type of data is available.
DOI: 10.13131/unipi/v6pt-nt78
title: Pisa, Via di Porta a Mare, angolo Via di Conte Fazio, 1962 – Recupero occasionale
DOI: 10.5281/zenodo.7780496
title: Datasets supporting for "Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts."

description: The folder contains data to support the paper entitled " Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts." The folder named "MEB pictures" contains all pictures that were used to determine starch granule size (only granules with visible major axis were measured. The folder named "confocal microscopy" contains the files used to determine starch granule number per plastid. it contains one folder for plants in Ws genetic background and another folder for plants in Col-0 genetic background.
description: please cite the original paper when referring to these data.
DOI: 10.5281/zenodo.7780495
title: Datasets supporting for "Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts."

description: The folder contains data to support the paper entitled " Further insight into the involvement of PII1 in starch granule initiation in Arabidopsis leaf chloroplasts." The folder named "MEB pictures" contains all pictures that were used to determine starch granule size (only granules with visible major axis were measured. The folder named "confocal microscopy" contains the files used to determine starch granule number per plastid. it contains one folder for plants in Ws genetic background and another folder for plants in Col-0 genetic background.
description: please cite the original paper when referring to these data.
DOI: 10.5281/zenodo.6683900
title: Dataset of The latent factor structure and assessment of childbirth-related PTSD in fathers and co-parents: psychometric characteristics of the City Birth Trauma Scale – French version (partner version)

description: Little is known about the latent factor structure of CB-PTSD symptoms in co-parents (i.e., (a non-expecting mother or father). The City Birth Trauma Scale (City BiTS) was developed to assess childbirth-related posttraumatic stress disorder following childbirth (CB-PTSD), based on the PTSD criteria of the DSM-5. Still, no validated French questionnaire exists to assess CB-PTSD symptoms in co-parents. This study aimed (1) to establish the latent factor structure of CB-PTSD, and (2) to validate the French version of the City BiTS (partner version). This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 282 co-parents who had an infant within the last 12 months. Sociodemographic data such as age, marital status, educational level, weeks of gestation, type of delivery, history of traumatic childbirth, or history of a traumatic event is available.
description: Antje Horsch is a management committee member of COST action CA18211.
DOI: 10.5281/zenodo.6683899
title: Dataset of The latent factor structure and assessment of childbirth-related PTSD in fathers and co-parents: psychometric characteristics of the City Birth Trauma Scale – French version (partner version)

description: Little is known about the latent factor structure of CB-PTSD symptoms in co-parents (i.e., (a non-expecting mother or father). The City Birth Trauma Scale (City BiTS) was developed to assess childbirth-related posttraumatic stress disorder following childbirth (CB-PTSD), based on the PTSD criteria of the DSM-5. Still, no validated French questionnaire exists to assess CB-PTSD symptoms in co-parents. This study aimed (1) to establish the latent factor structure of CB-PTSD, and (2) to validate the French version of the City BiTS (partner version). This dataset contains data on the mental health (i.e., CB-PTSD, depression, anxiety) of 282 co-parents who had an infant within the last 12 months. Sociodemographic data such as age, marital status, educational level, weeks of gestation, type of delivery, history of traumatic childbirth, or history of a traumatic event is available.
description: Antje Horsch is a management committee member of COST action CA18211.
DOI: 10.21227/vqn4-d248
title: dataset for “Towards Risk-Aware Real-Time Security Constrained Economic Dispatch: A Tailored Deep Reinforcement Learning Approach“

description: This data is for deep reinforcement leaming in real-time security constrained ecomomic dispatch on IEEE 118-bus system. The data includes system topology, wind generation and power demand for 1000 days with 5 min temporal resolution.
DOI: 10.5517/ccdc.csd.cc1nnsy1
title: CCDC 1539334: Experimental Crystal Structure Determination

description: Related Article: Cheng Chen, Shi-Meng Guo, Yuanjun Sun, He Li, Nan Hu, Kun Yao, Huxin Ni, Zhikan Xia, Bin Xu, Xin Xie, Ya-Qiu Long|2023|Eur.J.Med.Chem.|251|115267|doi:10.1016/j.ejmech.2023.115267
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: 10.21227/7sft-wj45
title: A Method for Calculating Lower Extremity Anatomical Landmark Trajectories Based on Inertial Motion Capture Data

description: Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies focus only on joint angle measurement, which limits its application. Therefore, this paper proposes a new method to calculate the trajectories of anatomical landmarks based on IMC data. The accuracy and reliability of this method were investigated by comparative analysis based on measurement data from 16 volunteers. The results showed that the accuracy of anatomical landmark trajectories was 23.4 to 57.3mm, about 5.9% to 7.6% of the segment length， the orientation accuracy was about 3.3° to 8.1°, less than 8.6% of the range of motion (ROM),using optical motion capture results as the gold standard.
DOI: 10.4121/edfa3d4c-f347-4a79-b8fb-c80e9cb385de
title: Data underlying the publication: The Ins and Outs of Decentralized Autonomous Organizations (Daos)

description: Data for analysis - Ins and outs of decentralized autonomous organizations - This data contains various list of DAOs with additional information per DAO (e.g. link to the DAO, year of deployment, amount of tokenholders etc). The data was collected by analyzing all data displayed using the links to the individual DAOs. The research objective was to analyze characteristics and trends of DAOs.
DOI: 10.4121/edfa3d4c-f347-4a79-b8fb-c80e9cb385de.v1
title: Data underlying the publication: The Ins and Outs of Decentralized Autonomous Organizations (Daos)

description: Data for analysis - Ins and outs of decentralized autonomous organizations - This data contains various list of DAOs with additional information per DAO (e.g. link to the DAO, year of deployment, amount of tokenholders etc). The data was collected by analyzing all data displayed using the links to the individual DAOs. The research objective was to analyze characteristics and trends of DAOs.
DOI: 10.5281/zenodo.7778047
title: Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps

description: Dataset analyzed in the study "Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps". Use of the data requires proper reference to [1]. Dataset contains Electromyographic data from forearm, recorded with an 8-channel sEMG Biometrics Ltd. device. The fields contained in the structure are those detailed in the following scheme:: Group: 0 for healthy subjects; 1 for HOA patients Subject: subject ID; Grasp: grasp ID, according to Figure 1 [1]; Raw EMG data (7 columns): Raw sEMG data without any filter and not resampled, for the seven representative spot areas according to [2]. [1] Jarque-Bou, N.J.; Gracia-Ibáñez, V.; Roda-Sales, A.; Bayarri-Porcar, V.; Sancho-Bru, J.L.; Vergara, M. Toward Early and Objective Hand Osteoarthritis Detection by Using EMG during Grasps. <em>Sensors</em> <strong>2023</strong>, <em>23</em>, 2413. https://doi.org/10.3390/s23052413 [2] Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Alba, R.-S. & Gracia-Ibáñez, V. Identification of forearm skin zones with similar muscle activation patterns during activities of daily living. <em>J. NeuroEngineering Rehabil. </em>(2018).
DOI: 10.5281/zenodo.7778046
title: Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps

description: Dataset analyzed in the study "Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps". Use of the data requires proper reference to [1]. Dataset contains Electromyographic data from forearm, recorded with an 8-channel sEMG Biometrics Ltd. device. The fields contained in the structure are those detailed in the following scheme:: Group: 0 for healthy subjects; 1 for HOA patients Subject: subject ID; Grasp: grasp ID, according to Figure 1 [1]; Raw EMG data (7 columns): Raw sEMG data without any filter and not resampled, for the seven representative spot areas according to [2]. [1] Jarque-Bou, N.J.; Gracia-Ibáñez, V.; Roda-Sales, A.; Bayarri-Porcar, V.; Sancho-Bru, J.L.; Vergara, M. Toward Early and Objective Hand Osteoarthritis Detection by Using EMG during Grasps. <em>Sensors</em> <strong>2023</strong>, <em>23</em>, 2413. https://doi.org/10.3390/s23052413 [2] Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Alba, R.-S. & Gracia-Ibáñez, V. Identification of forearm skin zones with similar muscle activation patterns during activities of daily living. <em>J. NeuroEngineering Rehabil. </em>(2018).
DOI: 10.34740/kaggle/dsv/5261511
title: YouTube Daily
DOI: 10.34943/3cb82638-7ba4-482d-85a9-e124c28874f0
title: Tsawwassen - Duke Point Ferry Route Carbon Dioxide Sensor Deployed 2023-03-27

description: The Pro-Oceanus CO2-Pro FT (SN 36-325-81) was deployed on 2023-03-27 on Tsawwassen - Duke Point Ferry Route. This ferry route goes between Tsawwassen terminal in Vancouver, BC and the Duke Point terminal, Nanaimo BC. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7736364
title: Apis mellifera graph genome

description: <strong>AmelGraph 1.1.0</strong> We aligned 5 different publicly available assemblies with the cactus pangenome workflow (v2.0.5): <strong>Use </strong> <strong>Species </strong> <strong>Genome ID </strong> <strong>Accession </strong> <strong>Graph ID </strong> <strong>Size (Mb) </strong> Reference <em>A. mellifera</em> (DH4) Amel_HAv3.1 GCF_003254395.2 DH4 225.2 Derivate <em>A. m. mellifera </em> INRA_AMelMel_1.0 GCA_003314205.1 mellifera 227.0 Derivate <em>A. m. carnica </em> ASM1384124v2 GCA_013841245.2 carnica 226.0 Derivate <em>A. m. caucasica </em> ASM1384120v1 GCA_013841205.1 caucasica 224.8 Derivate <em>A. m. ligustica </em> ASM1932182v1 GCA_019321825.1 ligustica 231.1 We used the cactus<sup>1</sup> pangenome workflow to generate a 5-ways pangenome alignment, masking in blocks of 10Kb, and considering all the sequences in the different data. Due to incompatibilities with the pangenome workflow generation of the indexes, we regenerated the giraffe indexes from the output GFA/VCF file. We also downloaded annotations available for three genomes (DH4, <em>A. m. carnica</em> and <em>A. m. caucasica</em>), modifying the naming of the contigs to include the subspecies name (i.e. 'LG1' for <em>A. m. caucasica</em> modified to 'caucasica.LG1'). We then ran the vg autoindex function: <pre><code>vg autoindex -w giraffe -o pangenome -t 8 -T ./TMP -x carnica.gff -x caucasica.gff -R XG -x DH4.gff</code></pre> We compared this 'full' cactus graph to one built using only sequence on the linkage groups, and to one generated using the PGGB workflow. We evaluated the different graphs using PGGE. This full cactus graph returned the highst aligned identity, sequence matches, and unique alignments, while having the lowest number of multiple mapping and missing alignments. <strong>Parameter </strong> <strong>CACTUS (LG) </strong> <strong>CACTUS (FULL) </strong> <strong>PGGB (norm) </strong> HAv3.1 size 221,626,419 225,250,884 225,250,884 Graph length (bp) 243,077,200 246,675,144 315,672,860 Extra sequence 21,450,781 21,424,260 90,421,976 # nodes 17,120,383 11,664,080 17,952,597 # edges 21,385,634 15,990,593 21,702,958 <strong>References</strong> 1. Armstrong, J. <em>et al</em>. Progressive Cactus is a multiple-genome aligner for the thousand-genome era. <em>Nature</em> <strong>587</strong>, (2020).
DOI: 10.5281/zenodo.7736363
title: Apis mellifera graph genome

description: <strong>AmelGraph 1.1.0</strong> We aligned 5 different publicly available assemblies with the cactus pangenome workflow (v2.0.5): <strong>Use </strong> <strong>Species </strong> <strong>Genome ID </strong> <strong>Accession </strong> <strong>Graph ID </strong> <strong>Size (Mb) </strong> Reference <em>A. mellifera</em> (DH4) Amel_HAv3.1 GCF_003254395.2 DH4 225.2 Derivate <em>A. m. mellifera </em> INRA_AMelMel_1.0 GCA_003314205.1 mellifera 227.0 Derivate <em>A. m. carnica </em> ASM1384124v2 GCA_013841245.2 carnica 226.0 Derivate <em>A. m. caucasica </em> ASM1384120v1 GCA_013841205.1 caucasica 224.8 Derivate <em>A. m. ligustica </em> ASM1932182v1 GCA_019321825.1 ligustica 231.1 We used the cactus<sup>1</sup> pangenome workflow to generate a 5-ways pangenome alignment, masking in blocks of 10Kb, and considering all the sequences in the different data. Due to incompatibilities with the pangenome workflow generation of the indexes, we regenerated the giraffe indexes from the output GFA/VCF file. We also downloaded annotations available for three genomes (DH4, <em>A. m. carnica</em> and <em>A. m. caucasica</em>), modifying the naming of the contigs to include the subspecies name (i.e. 'LG1' for <em>A. m. caucasica</em> modified to 'caucasica.LG1'). We then ran the vg autoindex function: <pre><code>vg autoindex -w giraffe -o pangenome -t 8 -T ./TMP -x carnica.gff -x caucasica.gff -R XG -x DH4.gff</code></pre> We compared this 'full' cactus graph to one built using only sequence on the linkage groups, and to one generated using the PGGB workflow. We evaluated the different graphs using PGGE. This full cactus graph returned the highst aligned identity, sequence matches, and unique alignments, while having the lowest number of multiple mapping and missing alignments. <strong>Parameter </strong> <strong>CACTUS (LG) </strong> <strong>CACTUS (FULL) </strong> <strong>PGGB (norm) </strong> HAv3.1 size 221,626,419 225,250,884 225,250,884 Graph length (bp) 243,077,200 246,675,144 315,672,860 Extra sequence 21,450,781 21,424,260 90,421,976 # nodes 17,120,383 11,664,080 17,952,597 # edges 21,385,634 15,990,593 21,702,958 <strong>References</strong> 1. Armstrong, J. <em>et al</em>. Progressive Cactus is a multiple-genome aligner for the thousand-genome era. <em>Nature</em> <strong>587</strong>, (2020).
DOI: 10.5281/zenodo.7781025
title: Nemo2 (Numbers, fEatures, MOdels, version 2) Testing Files

description: The publications and research associated with this software is currently under review in the "<em>Journal</em> of <em>Systems</em> and <em>Software</em>". You can find the official Github repository of this dataset in: https://github.com/danieljmg/Nemo2_models
description: Munoz, Pinto and Fuentes work is supported by the European Union's H2020 research and innovation programme under grant agreement DAEMON 101017109, by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15, IRIS PID2021-122812OB-I00 (MCI/AEI), and the PRE2019-087496 grant from the Ministerio de Ciencia e Innovación. Batory is retired, writing free textbooks \cite{BatoryText}, and is walking dogs for wages.
DOI: 10.5281/zenodo.7781024
title: Nemo2 (Numbers, fEatures, MOdels, version 2) Testing Files

description: The publications and research associated with this software is currently under review in the "<em>Journal</em> of <em>Systems</em> and <em>Software</em>". You can find the official Github repository of this dataset in: https://github.com/danieljmg/Nemo2_models
description: Munoz, Pinto and Fuentes work is supported by the European Union's H2020 research and innovation programme under grant agreement DAEMON 101017109, by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15, IRIS PID2021-122812OB-I00 (MCI/AEI), and the PRE2019-087496 grant from the Ministerio de Ciencia e Innovación. Batory is retired, writing free textbooks \cite{BatoryText}, and is walking dogs for wages.
DOI: 10.20393/65b8380f-e2fb-4c0e-9461-3232aceff33e
title: CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - future prediction (2017 - 2035)

description: This is the output of GBM (Gradient Boosting Model) analyses of P. seriata presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of P. seriata presence in the future (2017 - 2035) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0 for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds) in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/P_seriata_probability/). This dataset is used for displaying future prediction of P. seriata probability of presence on the Shiny app.
DOI: 10.5255/ukda-sn-856354
title: Machine-Assisted Literary Translation, 2019-2021

description: This project aimed to improve products and processes related to translators' interaction with technology, examine the efficacy of various working methods, and assess new training approaches for the translation workplace. With a focus on empowering translators to use machine translation effectively and boost job satisfaction, the project sought to raise professional standards and contribute to the multilingual economy. The deposit contains data for two studies where English-to-Chinese translators used neural machine translation (MT) to translate science fiction short stories in Trados Studio. One of the studies (t-p) compares post-editing to a ‘no MT’ condition. The other (segmentation) examines two ways of presenting the texts on screen for post-editing, namely by segmenting them into paragraphs or into sentences. The dataset is licenced under a Creative Commons "CC BY-NC-SA 2.5" license.