cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17633/rd.brunel.19362089.v1
title: Experimental and numerical study of rate-dependent mode-I failure of a structural adhesive dataset

description: Data for the experimental and numerical results reported in the article: L. Škec, G. Alfano, "Experimental and numerical study of rate-dependent mode-I failure of a structural adhesive"
DOI: 10.17037/data.00002821
title: Clinical codelist - CPRD Aurum - unspecified immune deficiency

description: SNOMED codes for a clinical diagnosis, or clinical review specific to an unspecified immune deficiency.
DOI: 10.25403/upresearchdata.14873205.v1
title: Data used for metabolic profiling of industrial Pb-removing microbes

description: Data set linked to published journal article.The objective of the study was to gather insight into the metabolism of lead-removing microorganisms, coupled with Pb(II) removal, biomass viability and nitrate concentrations for Pb(II) bioremoval using an industrially obtained microbial consortium. The consortium used for study has proven to be highly effective at removing aqueous Pb(II) from solution. Anaerobic batch experiments were conducted with Luria-Bertani broth as rich growth medium over a period of 33 h, comparing a lower concentration of Pb(II) with a higher concentration at two different nutrient concentrations. Metabolite profiling and quantification were conducted with the aid of both liquid chromatography coupled with tandem mass spectroscopy (UPLC-HDMS) in a “non-targeted” fashion and high-performance liquid chromatography (HPLC) in a “targeted” fashion. Four main compounds were identified, and a metabolic study was conducted on each to establish their possible significance for Pb(II) bioremoval. The study investigates the first metabolic profile to date for Pb(II) bioremoval, which in turn can result in a clarified understanding for development on an industrial and microbial level<br>
DOI: 10.5281/zenodo.6362433
title: GERONTE H2020 project - GERDAT005 - Intrinsic capacity evaluation and intervention protocol

description: <strong>The present document is a dataset generated as part of Deliverable D1.1. of the GERONTE project, which has received funding from the European Union’s Horizon 2020 Programme under Grant Agreement N°945218. It aims to provide the geriatric oncology professional community with a protocol for the evaluation of intrinsic capacity and frailty, with subsequent interventions aimed at optimizing health status and support for older patients with multimorbidity and cancer.</strong> GERONTE is a 5-year research and innovation project (April 2021 to Mars 2026) funded by the European Union within the framework of the H2020 Research and Innovation programme, in response to the health societal challenge topic SC1-BHC-24-2020 “Healthcare interventions for the management of the elderly multimorbid patient”. The overall aim of GERONTE is to improve quality of life - defined as well-being on three levels: global health status, physical functioning and social functioning- for older multimorbid patients, while reducing overall costs of care. To this end, GERONTE will co-design, test, and prepare for deployment an innovative cost-effective patient-centred holistic health management system, hereafter referred to as the GERONTE intervention. GERONTE intervention will rely on an ICT based application for real-time collection and integration of standardised clinical and home patient-reported data. GERONTE intervention will be demonstrated in the context of care of multimorbid patients having cancer as a dominant morbidity, and be adaptable to any other combination of morbidities. An important component of Geronte is to take account of intrinsic capacity. Most older patients who are diagnosed with cancer also suffer from other illnesses and impairments that could affect their prognosis, priorities and ability to tolerate and benefit from treatment. For tailored oncologic decision making, it is essential to obtain a complete overview of the patient’s health status. This dataset contains the protocol for evaluation intrinsic capacity and potential interventions for impairments or vulnerabilities that were identified in this evaluation. It is going to be used in the assessment and management of older patients with multimorbidity and cancer, within the GERONTE care pathway.
DOI: 10.17037/data.00002822
title: Clinical codelist - CPRD Aurum - permanent immune deficiency

description: SNOMED codes for a clinical diagnosis, or clinical review specific to a permanent immune deficiency.
DOI: 10.5255/ukda-sn-854364
title: A Double-Registration Task Switching Paradigm With Completed And Cue-Only Trials, 2018-2021

description: STUDY ABSTRACT: This study examined whether preparation and performance can affect our upcoming behaviour in different ways, by examining different types of switch cost following trials that were only prepared (cue-only) or both prepared and performed (completed). In a double-registration cued task-switching procedure, participants responded to the task cue as they prepared the cued task, and to the target as they performed that task, to give switch costs at both cue (preparation) and target (performance). Cue-only trials included only a cue but no target; completed trials included both a cue and a target, and the effects of these two types of trial were assessed at cue and target responses on the following (completed) trial. Two cues were used for each task, so two types of switch cost could be calculated: the cue-switching cost (i.e., switching versus repeating cues when completing the same task) and the task-switching cost (i.e., switching versus repeating tasks, with cues switching in both cases). A different pattern of switch costs being present following completed trials than was present following cue-only trials would indicate that that preparation and performance have differing types of effect on our subsequent behaviour.
DOI: 10.26165/juelich-data/wdrgax
title: Unitary Transform between Radial and Cartesian Representation of the Circular Harmonic Oscillator Basis

description: The circular harmonic oscillator is one of the most basic quantum mechanical problems with known analytical solutions in two representations: Radial and Cartesian. This data set provides the coefficients of the unitary transformation connecting the two representations.
DOI: 10.5523/bris.25jm1zpraad072fxzsjbik4a0m
title: Blandford Collection of Antiquities

description: Collection of 3D scanned items, drawn from the Blandford collection, held by the University of Bristol. Curator Tamar Hodos. Items in .obj format. Item numbers drawn from spreadsheet, included. Digitised as part of the Digitally Present and Engaged project, with the kind support of UKRI.
DOI: 10.17037/data.00002823
title: Clinical codelist - CPRD Aurum - rheumatoid arthritis

description: SNOMED codes for a clinical diagnosis of rheumatoid arthritis.
DOI: 10.25578/mm9q0r
title: Radar database over narrow debonded areas into pavement structure

description: This database was collected over narrow artificial disbonded areas during an accelerated pavement testing at univ. Gustave Eiffel's carousel. GPR data have been collected over tenartificial defects (tack-free, geotextile and sand-based), which were embedded between the top and the base layers. The data collection was organized in a two-stage experiments and covers the full life-cycle of the pavement structure. During the first stage that took place in 2012-13, data were collected at different stages from 0k to 300k loading cycles. The second measurement campaign was performed in 2019-2020 and lasted up to 800k loading cycles. This database completes a first one dedicated to three largest defects, and presented in " Radar database over large debonded areas into pavement structures
DOI: 10.5281/zenodo.6362434
title: SingleCellExperiment Object MIS-C data (Hoste et al., 2022)

description: Data from https://rupress.org/jem/article/219/2/e20211381/212918/TIM3-TRBV11-2-T-cells-and-IFN-signature-in
description: {"references": ["Levi Hoste, Lisa Roels, Leslie Naesens, Victor Bosteels, Stijn Vanhee, Sam Dupont, Cedric Bosteels, Robin Browaeys, Niels Vandamme, Kevin Verstaen, Jana Roels, Karel F.A. Van Damme, Bastiaan Maes, Elisabeth De Leeuw, Jozefien Declercq, Helena Aegerter, Leen Seys, Ursula Smole, Sofie De Prijck, Manon Vanheerswynghels, Karlien Claes, Veronique Debacker, Gert Van Isterdael, Lynn Backers, Kathleen B.M. Claes, Paul Bastard, Emmanuelle Jouanguy, Shen-Ying Zhang, Gilles Mets, Joke Dehoorne, Kristof Vandekerckhove, Petra Schelstraete, Jef Willems, MIS-C Clinicians, Patrick Stordeur, Sophie Janssens, Rudi Beyaert, Yvan Saeys, Jean-Laurent Casanova, Bart N. Lambrecht, Filomeen Haerynck, Simon J. Tavernier; TIM3+ TRBV11-2 T cells and IFN\u03b3 signature in patrolling monocytes and CD16+ NK cells delineate MIS-C. J Exp Med 7 February 2022; 219 (2): e20211381. doi: https://doi.org/10.1084/jem.20211381"]}
DOI: 10.5281/zenodo.6361867
title: SingleCellExperiment Object MIS-C data (Hoste et al., 2022)

description: Data from https://rupress.org/jem/article/219/2/e20211381/212918/TIM3-TRBV11-2-T-cells-and-IFN-signature-in
description: {"references": ["Levi Hoste, Lisa Roels, Leslie Naesens, Victor Bosteels, Stijn Vanhee, Sam Dupont, Cedric Bosteels, Robin Browaeys, Niels Vandamme, Kevin Verstaen, Jana Roels, Karel F.A. Van Damme, Bastiaan Maes, Elisabeth De Leeuw, Jozefien Declercq, Helena Aegerter, Leen Seys, Ursula Smole, Sofie De Prijck, Manon Vanheerswynghels, Karlien Claes, Veronique Debacker, Gert Van Isterdael, Lynn Backers, Kathleen B.M. Claes, Paul Bastard, Emmanuelle Jouanguy, Shen-Ying Zhang, Gilles Mets, Joke Dehoorne, Kristof Vandekerckhove, Petra Schelstraete, Jef Willems, MIS-C Clinicians, Patrick Stordeur, Sophie Janssens, Rudi Beyaert, Yvan Saeys, Jean-Laurent Casanova, Bart N. Lambrecht, Filomeen Haerynck, Simon J. Tavernier; TIM3+ TRBV11-2 T cells and IFN\u03b3 signature in patrolling monocytes and CD16+ NK cells delineate MIS-C. J Exp Med 7 February 2022; 219 (2): e20211381. doi: https://doi.org/10.1084/jem.20211381"]}
DOI: 10.5281/zenodo.6362444
title: GERONTE H2020 project - GERDAT006 - Dataset of symptoms and proms for specific cancer types and gender

description: This dataset describes a series of symptoms, potentially indicative of treatment-related complications, destabilised comorbidity or functional decline, to be used in the Geronte project for symptoms monitoring in older patients with multimorbidity during and after their cancer treatment
DOI: 10.25578/n0rxsq
title: Radar database over large debonded areas into pavement structures

description: This database was collected over artificial disbonded areas during an accelerated pavement testing at IFSTTAR's carousel. GPR data have been collected over three artificial defects (tack-free, geotextile and sand-based), which were embedded between the top and the base layers. The data collection was organized in a two-stage experiments and covers the full life-cycle of the pavement structure. During the first stage that took place in 2012-13, data were collected at different stages from 0k to 300k loading cycles. The second measurement campaign was performed in 2019-2020 and lasted up to 800k loading cycles.
DOI: 10.34740/kaggle/dsv/3306566
title: Building and Vegetation Height Model of São Paulo
DOI: 10.5281/zenodo.6362282
title: GERONTE H2020 project - GERDAT003 - Core intrinsic capacity dataset

description: <strong>The present document is a dataset generated as part of Deliverable D1.1. of the GERONTE project, which has received funding from the European Union’s Horizon 2020 Programme under Grant Agreement N°945218. It aims to provide the geriatric oncology professional community with a dataset of intrinsic capacity/frailty data to be included and assessed in the evaluation of older patients with cancer and multimorbidity.</strong> GERONTE is a 5-year research and innovation project (April 2021 to Mars 2026) funded by the European Union within the framework of the H2020 Research and Innovation programme, in response to the health societal challenge topic SC1-BHC-24-2020 “Healthcare interventions for the management of the elderly multimorbid patient”. The overall aim of GERONTE is to improve quality of life - defined as well-being on three levels: global health status, physical functioning and social functioning- for older multimorbid patients, while reducing overall costs of care. To this end, GERONTE will co-design, test, and prepare for deployment an innovative cost-effective patient-centred holistic health management system, hereafter referred to as the GERONTE intervention. GERONTE intervention will rely on an ICT based application for real-time collection and integration of standardised clinical and home patient-reported data. GERONTE intervention will be demonstrated in the context of care of multimorbid patients having cancer as a dominant morbidity, and be adaptable to any other combination of morbidities. An important component of the GerOnTe care pathway was to determine which intrinsic capacity/frailty information is need for optimizing treatment decision making and the subsequent care trajectory. We developed a list of comorbidities and intrinsic capacity/frailty itmes from literature and subsequently asked an expert panel to determine which of these were relevant for oncologic decision making and care. This led to the composition of a dataset to be included in the GERONTE care pathway, which is shown in this dataset. These data can to be included in the evaluation of older patients with cancer and multimorbidity to determine the feasibility of treatment and additional care needs
DOI: 10.25578/cjcymz
title: Example case study applying a "Framework for the Simulation of Sensor Networks Aimed at Evaluating In Situ Calibration Algorithms"

description: This repository contains codes and data that were used in the publication "Framework for the Simulation of Sensor Networks Aimed at Evaluating In Situ Calibration Algorithms" for the case study example on which is applied the presented framework.
DOI: 10.25578/bzibqy
title: Piles installed in sand subjected to axial loading: centrifuge tests in dry and saturated very dense Fontainebleau sand

description: The data presented here comes from sensors used in the Uni Eiffel’s geotechnical centrifuge, located in the Nantes’ Campus in France. The tests have been performed on small scale close-ended piles, including both the installation and the monotonic loading in tension. The framework is the El Haffar (2018) Ph.D. thesis, but also the REDENV-EOL project (2017-2021) devoted to anchoring of floating wind-turbines.
DOI: 10.25578/1ivumt
title: Piles installed in sand subjected to axial loading: centrifuge tests in dry and saturated medium dense Fontainebleau sand

description: The data presented here comes from sensors used in the Uni Eiffel’s geotechnical centrifuge, located in the Nantes’ Campus in France. The tests have been performed on small scale close-ended piles, including both the installation and the monotonic loading in tension. The framework is the El Haffar (2018) Ph.D. thesis, but also the REDENV-EOL project (2017-2021) devoted to anchoring of floating wind-turbines.
DOI: 10.17632/vpck42674j.1
title: Long-Term Survivors after Upfront Resection for Pancreatic Ductal Adenocarcinoma: An Actual 5-Year Analysis of Disease-Specific and Post-Recurrence Survival

description: Data refer to the paper doi: 10.1245/s10434-021-10401-7

Data refer to patients who underwent upfront surgical resection for pancreatic ductal adenocarcinoma between 2009 and 2014
DOI: 10.5281/zenodo.6362486
title: LeiKo

description: LeiKo is a comparable corpus of German easy-to-read news texts. This freely available resource is systematically compiled and linguistically annotated for linguistic and computational linguistic research. LeiKo consists of 216 news and newspaper texts (approx. 56,600 tokens) and their meta data structured in four subcorpora according to the websites they were published on. All texts are tokenized, lemmatized, part-of-speech tagged and dependency parsed and can be queried in ANNIS (Krause/Zeldes 2016). A core corpus of 40 texts is manually corrected.<br> <br> Version 0.9 contains only the core corpus with lemma and pos annotations and can be queried here: https://corpora.uni-hamburg.de/hzsk/de/hzsk_access/annis/leiko<br> <br> Version 1.0 comprises all 216 texts and not only lemma and pos annotations, but also syntactic annotations and metadata. The corpus is provided in the annis format, which can be directly imported into ANNIS Kickstarter. Version 1.1 is identical to version 1.0, but in addition to the annis files contains all corpus texts in the conll format. In version 1.3, some parts in the tazleicht subcorpus were added that were missing due to a mistake in the Python script written to gather the texts from the websites. In addition, the syntactic segmentation for lists was revised and the URL for each text was added to the set of meta data. Version 1.4 contains additional coreference annotations.<br> <br> Further versions with additional manual annotation levels will follow. If you use the corpus, please cite: Jablotschkin, Sarah / Heike Zinsmeister (2020): „LeiKo: A corpus of easy-to-read German“. Poster presentation at the Computational Linguistics Poster Session in the course of the 42nd annual conference of the Deutsche Gesellschaft für Sprachwissenschaft (DGfS) in Hamburg. (The version of the poster you find in the download section was corrected for typos.)
description: If you use the corpus, please cite: Jablotschkin, Sarah / Heike Zinsmeister (2020): "LeiKo: A corpus of easy-to-read German". Poster presentation at the Computational Linguistics Poster Session in the course of the 42nd annual conference of the Deutsche Gesellschaft für Sprachwissenschaft (DGfS) in Hamburg. (The version of the poster you find in the download section was corrected for typos.)
DOI: 10.5281/zenodo.6362463
title: Dataset related to article "Cognitive and behavioral associated changes in manifest Huntington disease A retrospective cross-sectional study"

description: .xls dataset containing clinical and neuropsychological data of HD patients included in the study described at title by Fondazione Besta
description: STUDY SUPPORTED BY Foundation Network of Huntington disease patients' associations (LIRH-Puglia, LIRH-Tuscany, Noi Huntington)
DOI: 10.5281/zenodo.6362462
title: Dataset related to article "Cognitive and behavioral associated changes in manifest Huntington disease A retrospective cross-sectional study"

description: .xls dataset containing clinical and neuropsychological data of HD patients included in the study described at title by Fondazione Besta
description: STUDY SUPPORTED BY Foundation Network of Huntington disease patients' associations (LIRH-Puglia, LIRH-Tuscany, Noi Huntington)
DOI: 10.34740/kaggle/dsv/3309097
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16578266
title: Meta-analysis data

description: Dataset of meta-analysis data used in study "Effects of physical activity levels on efficacy of vaccination"<br>
DOI: 10.6084/m9.figshare.16578266.v2
title: Meta-analysis data

description: Dataset of meta-analysis data used in study "Effects of physical activity levels on efficacy of vaccination"<br>
DOI: 10.6084/m9.figshare.16578266.v1
title: Meta-analysis data

description: Dataset of meta-analysis data used in study "Effects of physical activity levels on efficacy of vaccination"<br>
DOI: 10.6084/m9.figshare.19368716.v1
title: Appendix to BEH 3753

description: <b>Table A1. </b>Changes in group size and population density of blue monkeys at the Ngogo and Kanyawara sites in Kibale National Park, Uganda, and their primary primate competitors.<b>Table A2. </b>Important plant foods for blue monkeys (BL) at the Ngogo site in Kibale National Park, Uganda, and the overlap with important foods for other frugivorous monkeys.
DOI: 10.6084/m9.figshare.19368716
title: Appendix to BEH 3753

description: <b>Table A1. </b>Changes in group size and population density of blue monkeys at the Ngogo and Kanyawara sites in Kibale National Park, Uganda, and their primary primate competitors.<b>Table A2. </b>Important plant foods for blue monkeys (BL) at the Ngogo site in Kibale National Park, Uganda, and the overlap with important foods for other frugivorous monkeys.
DOI: 10.6084/m9.figshare.19368707.v1
title: Sample Excel dataset

description: Test dataset for introductory online course in R
DOI: 10.5281/zenodo.6362523
title: GERONTE H2020 project - GERDAT001 - Core multimorbidity dataset

description: <strong>The present document is a dataset generated as part of Deliverable D1.1. of the GERONTE project, which has received funding from the European Union’s Horizon 2020 Programme under Grant Agreement N°945218. It aims to provide the geriatric oncology professional community with a dataset of core comorbidity data to be included and assessed in the evaluation of older patients with cancer and multimorbidity. </strong> GERONTE is a 5-year research and innovation project (April 2021 to Mars 2026) funded by the European Union within the framework of the H2020 Research and Innovation programme, in response to the health societal challenge topic SC1-BHC-24-2020 “Healthcare interventions for the management of the elderly multimorbid patient”. The overall aim of GERONTE is to improve quality of life - defined as well-being on three levels: global health status, physical functioning and social functioning- for older multimorbid patients, while reducing overall costs of care. To this end, GERONTE will co-design, test, and prepare for deployment an innovative cost-effective patient-centred holistic health management system, hereafter referred to as the GERONTE intervention. GERONTE intervention will rely on an ICT based application for real-time collection and integration of standardised clinical and home patient-reported data. GERONTE intervention will be demonstrated in the context of care of multimorbid patients having cancer as a dominant morbidity, and be adaptable to any other combination of morbidities. An important component of the GerOnTe care pathway was to determine which comorbidity information is need for optimizing treatment decision making and the subsequent care trajectory. We showed a list of comorbidities from literature and subsequently asked an expert panel to determine which of these were relevant for oncologic decision making and care. As the experts also stated that additional information on the severity of a comorbid condition is needed to know if it impacts an oncologic decision or a treatment trajectory. Therefore, we asked the experts to state for the sixteen somatic/psychiatric comorbidities considered important in the previous round, whether or not the presence itself is sufficient information or if they needed extra information quantifying the severity; if so, we also asked which information. This led to the composition of the dataset presented here.