cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/jcxqjc/cjrviz
title: Aulonothroscus laticollis.jpg

description: :unav
DOI: 10.48370/ofd/jcxqjc
title: Aulonothroscus laticollis (Rybiński, 1897), C-567

description: Coleoptera collection
DOI: 10.5281/zenodo.6371985
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.
DOI: 10.5281/zenodo.6334599
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.
DOI: 10.5281/zenodo.6371994
title: GERONTE H2020 Project - GERDAT002 - Composition of the health care professional consortium

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</strong> <strong>with a dataset of core health care professionals that should be involvoed in the evaluation and treatment trajectories 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 health care professionals should be included in the health care professional consortium (HPC) providing care for the patient. Beforehand, we had considered the option of four core members and at least eight other participants depending on the patient’s specificities or profile. Based on clinical experience, we developed a list of 15 potential participants, including general practitioner, one or more oncology specialists (such as surgeons, medical oncologists, radiotherapists), geriatrician, oncology nurse, social worker, clinical pharmacist, physiotherapist, anaesthesiologist, home care nurse, dietician, occupational therapist, spiritual helpers/clerics, psychologist/psychiatrist, palliative care specialist, organ-specific physician(s) such as cardiologist, pulmonologist, nephrologist, rheumatologist etc. This list was presented to the expert panel, and they were asked to determine whether or not these participants should be involved in decision-making and/or the subsequent oncologic care trajectory; experts could specify if these participants should be involved for all patients, only in specific situations/profiles, or did not need to be involved. The results of this expert panel survey and the subsequent composition of the health care professional consortium forms the basis of this dataset.
DOI: 10.5281/zenodo.6334681
title: GERONTE H2020 Project - GERDAT002 - Composition of the health care professional consortium

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</strong> <strong>with a dataset of core health care professionals that should be involvoed in the evaluation and treatment trajectories 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 health care professionals should be included in the health care professional consortium (HPC) providing care for the patient. Beforehand, we had considered the option of four core members and at least eight other participants depending on the patient’s specificities or profile. Based on clinical experience, we developed a list of 15 potential participants, including general practitioner, one or more oncology specialists (such as surgeons, medical oncologists, radiotherapists), geriatrician, oncology nurse, social worker, clinical pharmacist, physiotherapist, anaesthesiologist, home care nurse, dietician, occupational therapist, spiritual helpers/clerics, psychologist/psychiatrist, palliative care specialist, organ-specific physician(s) such as cardiologist, pulmonologist, nephrologist, rheumatologist etc. This list was presented to the expert panel, and they were asked to determine whether or not these participants should be involved in decision-making and/or the subsequent oncologic care trajectory; experts could specify if these participants should be involved for all patients, only in specific situations/profiles, or did not need to be involved. The results of this expert panel survey and the subsequent composition of the health care professional consortium forms the basis of this dataset.
DOI: 10.5281/zenodo.5614586
title: Recovery of trunk and leg motor functions within one day after chronic complete paralysis.

description: Source data supporting the findings reported in the publication.
DOI: 10.5281/zenodo.5614585
title: Recovery of trunk and leg motor functions within one day after chronic complete paralysis.

description: Source data supporting the findings reported in the publication.
DOI: 10.25919/cqj6-fz66
title: Parkes observations for project P1101 semester 2021OCTS_15

description: We propose to carry out fortnightly monitoring of a very active repeater, FRB~190520, with the Parkes UWL system. Our current observations show that FRB~190520 is not only the most active FRB that can be observed with Parkes, but also shows unique behaviour at 2 to 3 GHz frequency. This makes UWL the ideal instrument to carry out in-depth studies of this repeating FRB. With this program, we expect to detect a large sample of bursts from FRB~190520, and in collaboration with the FAST telescope we will study emission properties, fluence distributions and polarisation properties over an extremely wide bandwidth with high sensitivity.
DOI: 10.48370/ofd/shcphx/i7rgcs
title: Aulonothroscus brevicollis.jpg

description: :unav
DOI: 10.48370/ofd/shcphx
title: Aulonothroscus brevicollis (Bonvouloir, 1859), C-568

description: Coleoptera collection
DOI: 10.48370/ofd/o9lk2m
title: Psudophilothermus evanescens (Reitter, 1876), C-569

description: Coleoptera collection
DOI: 10.25345/c56h4ct5s
title: MassIVE Reanalysis RMSV000000620.1 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000083949 DDX3Y and other Male Specific Region of Y Chromosome Genes may modulate neuronal differentiation and mediate various biological pathways in addition to their well described role regulating spermatogenesis.
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5519/qd.6zew22mi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/z6v5-mf23
title: Ultrasound Waveforms with and without Ringdown Artifacts

description: Minimally-Invasive Surgeries can benefit from having miniaturized sensors on surgical graspers to provide additional information to the surgeons. One such potential sensor is an ultrasound transducer. At long travel distances, the ultrasound transducer can accurately measure its ultrasound wave's time of flight, and from it, classify the grasped tissue. However, the ultrasound transducer has a ringing artifact arising from the decaying oscillation of its piezo element, and at short travel distances, the artifact blends with the acoustic echo. Without a method to remove the artifact from the blended signal, this makes it impossible to measure the waveform's time of flight.It is possible to use both classical signal processing and deep learning methods to filter raw ultrasound signals, removing the ringing artifact from them, and from the filtered signals, to obtain the time of flight. In this dataset, two datasets are provided to train and test algorithms developed for filtering out the ringdown artifact, and for subsequently extracting the waveform's time of flight. All measured (raw) signals were collected the same experimental setup: an oscilloscope connected to an ultrasound driver to drive a transducer attached to a liquid water container, in an attempt to mimic tissue properties in a tightly controlled environment.The training dataset consists of two groups of signal pairs. The first group consists of 993 signal pairs, with each pair consisting of a raw ultrasound signal (with the acoustic echo blended with the ringing artifact), and a target filtered signal (with only the desired echo). Signals in the first group are sampled at the original sampling frequency of 500 MHz. The second group is like the first group, but with all signals downsampled by a factor of 26. This training dataset includes only travel distances from 2 cm to 4 cm, inclusively, because at these distances in water, the echo is sufficiently separated from the ringdown artifact to be manually extractable. The signal pairs are approximately equally distributed between the distances covered.The test dataset similarly consists of two groups of raw ultrasound signals. The first group consists of 270 signals, collected at 9 travel distances between 0.5 cm and 4.0 cm, with 30 signals per distance. It also includes the associated true times of flight for each distance. Signals in the first group are sampled at the original sampling frequency of 500 MHz. The second group is like the first group, but with all signals downsampled by a factor of 26. All signals in both datasets are aligned.
DOI: 10.5281/zenodo.6371967
title: AMASS European Testbed Artistic Experiment Evaluations

description: PURPOSE The data set of 36 AMASS European Testbed case studies fulfils a specific purpose:<br> • Build a research database for good practices in the field of arts-based social interventions in AMASS partner countries.<br> • Construct a solid foundation for the development of new interventions with similar objectives.<br> • To present methods of evaluation for arts-based social interventions, avoiding obstacles that made many previous efforts in this field unsustainable and unadaptable.<br> • To offer a valid and authentic knowledge repository for policy makers, developers of future projects and researchers to identify motivations, philosophies, modes of engagement and impact of arts-based social interventions.
DOI: 10.5281/zenodo.6371966
title: AMASS European Testbed Artistic Experiment Evaluations

description: PURPOSE The data set of 36 AMASS European Testbed case studies fulfils a specific purpose:<br> • Build a research database for good practices in the field of arts-based social interventions in AMASS partner countries.<br> • Construct a solid foundation for the development of new interventions with similar objectives.<br> • To present methods of evaluation for arts-based social interventions, avoiding obstacles that made many previous efforts in this field unsustainable and unadaptable.<br> • To offer a valid and authentic knowledge repository for policy makers, developers of future projects and researchers to identify motivations, philosophies, modes of engagement and impact of arts-based social interventions.
DOI: 10.5281/zenodo.6338418
title: Historic data of the national electricity system transitions in Europe in 1990–2019 for retrospective evaluation of models [dataset]

description: This data package supports empirical analysis of national electricity system transitions and retrospective evaluation of electricity system models in 1990–2019 in 31 European countries, including the EU27, Switzerland, Iceland, Norway, and the United Kingdom. The data package covers two types of content. Firstly, we provide an annotated list of 517 original data sources and references relevant for retrospective electricity system modeling with emphasis on open-access sources. Secondly, we provide a total of 1359 processed and harmonized data files in a format that is suitable as inputs to electricity system models. Four types of data files are included for each country: (i) a country file documenting national demand and economic data, (ii) technology files describing techno-economic data for each major generation technology in the country's electricity mix, (iii) resource files describing fuel prices and CO2 emissions for each fuel, and (iv) load profiles describing 24-hour national load curves for each available year. We provide these data files as comma-separated files to enable their wider reuse for retrospective evaluation of models as well as for empirical analyses of the European electricity system transitions.
DOI: 10.5519/qd.23b1723y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.19390577
title: Code used for data analysis from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: R code used for data analysis
DOI: 10.6084/m9.figshare.19390577.v1
title: Code used for data analysis from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: R code used for data analysis
DOI: 10.6084/m9.figshare.19390583.v1
title: Weaning data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with age at first weaning
DOI: 10.6084/m9.figshare.19390583
title: Weaning data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with age at first weaning
DOI: 10.6084/m9.figshare.19390586.v1
title: RL data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with lifetime reproductive success
DOI: 10.6084/m9.figshare.19390586
title: RL data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with lifetime reproductive success
DOI: 10.6084/m9.figshare.19390589.v1
title: Primiparity data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with age at primiparity
DOI: 10.6084/m9.figshare.19390589
title: Primiparity data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with age at primiparity
DOI: 10.6084/m9.figshare.19390592
title: LRS data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with lifetime reproductive success, reproductive lifespan, and fecundity
DOI: 10.6084/m9.figshare.19390592.v1
title: LRS data from Ewe are what ewe wear: bigger horns, better ewes and the potential consequence of trophy hunting on female fitness in bighorn sheep

description: Data used for analysis of factors associated with lifetime reproductive success, reproductive lifespan, and fecundity
DOI: 10.48370/ofd/smlb0g/uwcqdi
title: Rhizophagus picipes.jpg

description: :unav
DOI: 10.48370/ofd/smlb0g
title: Rhizophagus picipes (Olivier,1790), C-570

description: Coleoptera collection
DOI: 10.6084/m9.figshare.13628129.v1
title: A guardian in need of support: the enforcement of EU state aid rules

description: State aid poses a threat to undistorted competition in the common market and, therefore, is rigidly regulated. However, elected political leaders have an incentive to disobey European Union (EU) regulations and grant aid in order to boost their electoral support. The European Commission is responsible for monitoring and enforcing member states’ compliance with EU state aid regulation. The present article analyses the effect of domestic politics on the Commission’s willingness to open a formal investigation and thus risk conflict with national governments. Specifically, it argues that the Commission is more likely to investigate, where institutional trust is strong and where ruling parties follow an interventionist economic policy.