cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24372501.v1
title: Media consumption and COVID-19 vaccination hesitancy: health literacy as a response

description: This study explored the influence media consumption (i.e. news websites, television networks, and social media) and health literacy have on COVID-19 vaccination hesitancy. Controlling for participant political affiliation and general vaccine hesitancy, results indicated that both social media consumption and health literacy significantly predicted COVID-19 vaccine hesitancy, whereas news websites and television networks did not produce significant effects. Together, these results highlight the importance of health literacy-focused interventions, with an emphasis on social media-based content as a means of promoting COVID-19 literacy.
DOI: 10.17632/zz5dc73kwp.1
title: inflammatoryboweldysphagia

description: Inflammatory bowel diasease dysphagia assessment findings
DOI: 10.14278/rodare.1145
title: Raw data related to publication entitled "Turbulent resuspension of micron particles from a wall surface functionalized with cylindrical micropillars" by Banari, A. et al.

description: # 'Flowrate.JPG': Table associating a raw image (see 'org' folder below) with the flow rate (Q) in L/min # 'Rough': raw data obtained with the rough substrate # 'Smooth': raw data obtained with the smooth substrate # "Smooth" and "Rough" folders contain a list of subfolders Mi, with i=0,1,2,... the measurement index. Ex: M1: is a first series of measurements and M2: a second series of measurements. Each Mi folder contains the following data: ## 'org': List of pictures (Acquisition_AAA_-BBBBBB.jpg) taken with the high-resolution camera. With AAA=000,001,002,... is the flow rate association. To associate AAA with the flow rate, see 'Flowrate.JPG'. Ex: '000' -&gt; Q = 0 L/min, '001' -&gt; Q = 20 L/min. BBB=000001,000002 or 000003 are pictures of the same particle bed taken at increasing time interval. These 3 pictures are used to check particle bed equilibrium. ## 'pic_CCC.jpg' with CCC=001, 002, 003: simply a copy of the raw picture in 'org' with bed at equilibrium. The association between the index (CCC) and the flow rate (Q) is identical to that described in 'org' (AAA). ## 'Particles_CCC.csv' with CCC=001, 002, 003: List of particle positions (called tags in the manuscript) in each respective image.
DOI: 10.14278/rodare.1146
title: Raw data related to publication entitled "Turbulent resuspension of micron particles from a wall surface functionalized with cylindrical micropillars" by Banari, A. et al.

description: # 'Flowrate.JPG': Table associating a raw image (see 'org' folder below) with the flow rate (Q) in L/min # 'Rough': raw data obtained with the rough substrate # 'Smooth': raw data obtained with the smooth substrate # "Smooth" and "Rough" folders contain a list of subfolders Mi, with i=0,1,2,... the measurement index. Ex: M1: is a first series of measurements and M2: a second series of measurements. Each Mi folder contains the following data: ## 'org': List of pictures (Acquisition_AAA_-BBBBBB.jpg) taken with the high-resolution camera. With AAA=000,001,002,... is the flow rate association. To associate AAA with the flow rate, see 'Flowrate.JPG'. Ex: '000' -&gt; Q = 0 L/min, '001' -&gt; Q = 20 L/min. BBB=000001,000002 or 000003 are pictures of the same particle bed taken at increasing time interval. These 3 pictures are used to check particle bed equilibrium. ## 'pic_CCC.jpg' with CCC=001, 002, 003: simply a copy of the raw picture in 'org' with bed at equilibrium. The association between the index (CCC) and the flow rate (Q) is identical to that described in 'org' (AAA). ## 'Particles_CCC.csv' with CCC=001, 002, 003: List of particle positions (called tags in the manuscript) in each respective image.
DOI: 10.5281/zenodo.10036523
title: Dataset for NXmpes_xps demonstration

description: Dataset for the generation of Nexus files using the Nomad Nexus parser
DOI: 10.5281/zenodo.10036524
title: Dataset for NXmpes_xps demonstration

description: Dataset for the generation of Nexus files using the Nomad Nexus parser
DOI: 10.6084/m9.figshare.22072160
title: Untitled Item

description: tables
DOI: 10.5281/zenodo.10036559
title: test zenodo 1

description: test1
DOI: 10.5281/zenodo.10036560
title: test zenodo 1

description: test1
DOI: 10.5281/zenodo.10036600
title: Supplementary data to 'The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).'

description: Supplementary data to:

The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).
DOI: 10.5281/zenodo.7467240
title: Supplementary data to Lower crustal magma storage and differentiation in an Ocean Island volcano: Integrating 3D imaging with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).

description: Supplementary data to:




Lower crustal magma storage and differentiation in Ocean Island volcanoes: Integrating 3D imaging with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).
DOI: 10.5281/zenodo.10036435
title: Supplementary data to 'The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).'

description: Supplementary data to:

The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).
DOI: 10.5281/zenodo.7467239
title: Supplementary data to 'The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).'

description: Supplementary data to:

The origin and differentiation of CO2-rich primary melts in Ocean Island volcanoes: Integrating 3D X-ray tomography with chemical microanalysis of olivine-hosted melt inclusions from Pico (Azores).
DOI: 10.21227/xbsn-nz84
title: Urbaniization in CMA

description: When considering urban growth in metropolitan areas, polycentric urban structures have been significantly observable everywhere, both in developing and developed nations. Morphological urban developments have been considered in many studies, and recently, attention has been paid to polycentric cities. Polycentricism is a collective concept that works at local, regional, and national levels. However, the development of polycentric urban spaces includes a multitude of decentralized morphologies and functional properties that have significant impacts. Colombo, as Sri Lanka's only metropolitan area, is crucial to investigating the polycentric spatial growth due to the absence of sufficient data. This study was conducted using multi-source data, a geographic information system, spatial analysis, and a network model. It was revealed that Sri Lanka’s urban pattern has changed into urban sprawl through the study period of 1988 to 2022. Due to the urban pattern, the city has been turned into a polynuclear city, making it difficult to identify centers and their level of development. However, the study conducted to identify morphological and functional Grama Niladari divisions revealed that morphological characteristics show centralized dispersion and functional characteristics show decentralized concentration. Therefore, spatial planners must pay attention to this fact when planning the city to achieve sustainable development goals.
DOI: 10.5281/zenodo.10036209
title: Dataset related to article "The pattern of failure after Stereotactic Radiation Therapy (SRT) for oligo-metastases: predictive factors for poly-progression "

description: This record contains raw data related to article "The pattern of failure after Stereotactic Radiation Therapy (SRT) for oligo-metastases: predictive factors for poly-progression"
Abstract
Purpose: Patients with oligo-metastatic disease (OMD) can be safely treated with Stereotactic Radiation Therapy (SRT). Further disease progression is common in these patients. In most cases, patients relapse again with oligo-metastases, however some can experience a poly-progression after a local ablative treatment (LAT). The purpose of this study was to retrospectively identify factors associated with poly-progression in patients receiving SRT for OMD.
Methods: Data from a monocentric database were retrospectively analyzed. Patients treated with SRT for OMD and who developed progression after LAT were selected. Patients were categorized as oligo- or poly-progressive according to the number of new/progressing metastases (≤ or > 5). Herein, we analyzed data about patients' characteristics, oligo-metastatic presentation and radiation treatment characteristics to evaluate their relationship with progression type.
Results: From 2013 to 2021, data on 700 patients progressing after LAT were analyzed. Among them, 227 patients (32.4%) experienced a poly-progression; the median time to poly-progression was 7.72 months (range 1-79.6). Five variables associated with poly-progression were found to be statistically significant in the univariate analysis: performance status (p < 0.001), site of the primary tumor (p = 0.016), ablative dose (p = 0.002), treated site (p = 0.002), single or double organ (p = 0.03). Of those, all but the number of involved organs retained their significant predictive value on the multivariate analysis.
Conclusion: Our study identified four independent factors associated with poly-progression in patients with OMD receiving SRT. Our data may support comprehensive characterization of OMD, better understanding of factors associated with progression.
DOI: 10.5281/zenodo.10036210
title: Dataset related to article "The pattern of failure after Stereotactic Radiation Therapy (SRT) for oligo-metastases: predictive factors for poly-progression "

description: This record contains raw data related to article "The pattern of failure after Stereotactic Radiation Therapy (SRT) for oligo-metastases: predictive factors for poly-progression"
Abstract
Purpose: Patients with oligo-metastatic disease (OMD) can be safely treated with Stereotactic Radiation Therapy (SRT). Further disease progression is common in these patients. In most cases, patients relapse again with oligo-metastases, however some can experience a poly-progression after a local ablative treatment (LAT). The purpose of this study was to retrospectively identify factors associated with poly-progression in patients receiving SRT for OMD.
Methods: Data from a monocentric database were retrospectively analyzed. Patients treated with SRT for OMD and who developed progression after LAT were selected. Patients were categorized as oligo- or poly-progressive according to the number of new/progressing metastases (≤ or > 5). Herein, we analyzed data about patients' characteristics, oligo-metastatic presentation and radiation treatment characteristics to evaluate their relationship with progression type.
Results: From 2013 to 2021, data on 700 patients progressing after LAT were analyzed. Among them, 227 patients (32.4%) experienced a poly-progression; the median time to poly-progression was 7.72 months (range 1-79.6). Five variables associated with poly-progression were found to be statistically significant in the univariate analysis: performance status (p < 0.001), site of the primary tumor (p = 0.016), ablative dose (p = 0.002), treated site (p = 0.002), single or double organ (p = 0.03). Of those, all but the number of involved organs retained their significant predictive value on the multivariate analysis.
Conclusion: Our study identified four independent factors associated with poly-progression in patients with OMD receiving SRT. Our data may support comprehensive characterization of OMD, better understanding of factors associated with progression.
DOI: 10.5281/zenodo.7741369
title: DATA SET:  In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies.

description: This repository contains the data sets of the article:
L. Cortese et al., "In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies."
description: Acknowledgments:
This work has received funding from: the European
Union's Horizon 2020 research and innovation programme under grant
agreements No. 688303 (LUCA), No. 101016087 (VASCOVID), No. 101017113
(TINYBRAINS), No. 675332 (BITMAP), No. 871124 (LASERLAB-EUROPE V), 
Fundació CELLEX Barcelona, Fundació Mir-Puig, 
Agencia Estatal de Investigación (PHOTOMETABO,
PID2019-106481RB-C31/10.13039/501100011033), the ``Severo Ochoa''
Programme for Centres of Excellence in R\&D (CEX2019-000910-S),
LUX4MED special program, the Obra social ``la Caixa'' Foundation
(LlumMedBcn), Generalitat de Catalunya (CERCA, AGAUR-2022-SGR-01457,
RIS3CAT-001-P-001682 CECH). Additionally, this project has received funding from the
Secretaria d'Universitats i Recerca del Departament d'Empresa i
Coneixement de la Generalitat de Catalunya, as well as the European
Social Fund (L'FSE inverteix en el teu futur)—FEDER.
Finally, we sincerely thank the subjects involved in this study for
their enthusiastic participation.

Disclosure:
The role in the project of all the companies (HemoPhotonics S.L.,
Vermon SA, IMV Imaging) and their employees involved has been defined
by the project objectives, tasks, and work packages and has been
reviewed by the European Commission (European Union's Horizon 2020
research and innovation programme, LUCA project, grant agreement
No. 688303). 
ICFO has equity ownership in the spin-off company HemoPhotonics S.L., 
and UMW is the CEO. TD and UMW are inventors on relevant patents.
MB, DC, ADM, AT are co-founders of PIONIRS s.r.l., spin off company
from Politecnico di Milano (Italy), and MB is the CEO of the
company. Their involvement in the study was mainly prior to the
company foundation.
All the potential financial conflicts of interest and objectivity of
research have been monitored by ICFO's Knowledge \& Technology
Transfer Department.
DOI: 10.5281/zenodo.7741368
title: DATA SET:  In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies.

description: This repository contains the data sets of the article:
L. Cortese et al., "In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies."
description: Acknowledgments:
This work has received funding from: the European
Union's Horizon 2020 research and innovation programme under grant
agreements No. 688303 (LUCA), No. 101016087 (VASCOVID), No. 101017113
(TINYBRAINS), No. 675332 (BITMAP), No. 871124 (LASERLAB-EUROPE V), 
Fundació CELLEX Barcelona, Fundació Mir-Puig, 
Agencia Estatal de Investigación (PHOTOMETABO,
PID2019-106481RB-C31/10.13039/501100011033), the ``Severo Ochoa''
Programme for Centres of Excellence in R\&D (CEX2019-000910-S),
LUX4MED special program, the Obra social ``la Caixa'' Foundation
(LlumMedBcn), Generalitat de Catalunya (CERCA, AGAUR-2022-SGR-01457,
RIS3CAT-001-P-001682 CECH). Additionally, this project has received funding from the
Secretaria d'Universitats i Recerca del Departament d'Empresa i
Coneixement de la Generalitat de Catalunya, as well as the European
Social Fund (L'FSE inverteix en el teu futur)—FEDER.
Finally, we sincerely thank the subjects involved in this study for
their enthusiastic participation.

Disclosure:
The role in the project of all the companies (HemoPhotonics S.L.,
Vermon SA, IMV Imaging) and their employees involved has been defined
by the project objectives, tasks, and work packages and has been
reviewed by the European Commission (European Union's Horizon 2020
research and innovation programme, LUCA project, grant agreement
No. 688303). 
ICFO has equity ownership in the spin-off company HemoPhotonics S.L., 
and UMW is the CEO. TD and UMW are inventors on relevant patents.
MB, DC, ADM, AT are co-founders of PIONIRS s.r.l., spin off company
from Politecnico di Milano (Italy), and MB is the CEO of the
company. Their involvement in the study was mainly prior to the
company foundation.
All the potential financial conflicts of interest and objectivity of
research have been monitored by ICFO's Knowledge \& Technology
Transfer Department.
DOI: 10.5281/zenodo.10033817
title: Dataset for Correct-by-Design Control of Parametric Stochastic Systems
DOI: 10.5281/zenodo.10033818
title: Dataset for Correct-by-Design Control of Parametric Stochastic Systems
DOI: 10.23728/b2share.557d41bb71fe4fed9a821e0abef21d71
title: NFFA-Europe - MRI Dataset

description: The dataset comprises Magnetic Resonance Imaging (MRI) scans of seven 5mm tubes containing Copper Sulfate (CuSO4) solutions with concentrations ranging from 0 to 100 mM. The scans (i.e. multiple Series of the same Study) were performed on June 22, 2023 at the Karlsruher Institute of Technology using a Bruker BioSpin MRI system (Biospec 152/11 model).
description: Acquisition: The acquisition was carried out by employing a Fast Low Angle Shot (FLASH) MRI protocol named Bruker:FLASH. A 2D acquisition type was utilized with a magnetic field strength of approximately 15.27 Tesla. Geometry: The scans were conducted in a rectilinear geometry with a 100% sampling rate and a 100% phase field of view. The in-plane phase encoding direction was along the column, with the k-space traversal being rectilinear. Spatial Resolution: The dataset has a spatial resolution of 0.1 mm, both in-plane and through-plane (slice thickness). Image Characteristics: The images are monochrome with a resolution of 300x300 pixels, and each pixel's value is presented in a 16-bit format. The images are categorized as original, primary, non-parallel, and have a magnitude complex image component. Coil Configuration: Multi-coil configuration was used for both reception (RF RES 650 1H 05) and transmission (RF RES 650 1H 05), manufactured by BMRIDE. Timing Parameters: The repetition was varied for each Series. Software Version: The acquisition was conducted using the software version Acquisition PV-360.3.3 and ParaVision 360.3.3. Sample Identification: The samples were identified as Phantom to collect a test data set for different Proof of Concept studies for imaging data processing. Sample Positioning: The samples were positioned head-first-supine (HFS) in the MRI system. Anatomical Orientation: Biped anatomical orientation was employed, covering the entire body region as per the given anatomic region sequence.
DOI: 10.5281/zenodo.5561034
title: Dataset Electrochemical Growth of Ag/Zn Alloys from Zinc Process Solutions and Their Dealloying Behavior

description: Dataset of journal paper Electrochemical Growth of Ag/Zn Alloys  and Their Dealloying Behavior
DOI: 10.5281/zenodo.5561033
title: Dataset Electrochemical Growth of Ag/Zn Alloys from Zinc Process Solutions and Their Dealloying Behavior

description: Dataset of journal paper Electrochemical Growth of Ag/Zn Alloys  and Their Dealloying Behavior
DOI: 10.6084/m9.figshare.24427264
title: Experimental drought alters ecosystem nutrients differently across three temperate grasslands

description: Experimental drought alters ecosystem nutrients differently across three temperate grasslands
DOI: 10.6084/m9.figshare.24427264.v1
title: Experimental drought alters ecosystem nutrients differently across three temperate grasslands

description: Experimental drought alters ecosystem nutrients differently across three temperate grasslands
DOI: 10.7488/ds/7530
title: Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

description: Reinforcement Learning (RL) environments can produce training data with spurious correlations between features due to the amount of training data or its limited feature coverage. This can lead to RL agents encoding these misleading correlations in their latent representation, preventing the agent from generalising if the correlation changes within the environment or when deployed in the real world. Disentangled representations can improve robustness, but existing disentanglement techniques that minimise mutual information between features require independent features, thus they cannot disentangle correlated features. We propose an auxiliary task for RL algorithms that learns a disentangled representation of high-dimensional observations with correlated features by minimising the conditional mutual information between features in the representation. We demonstrate experimentally, using continuous control tasks, that our approach improves generalisation under correlation shifts, as well as improving the training performance of RL algorithms in the presence of correlated features. This is the data for the experiment results in the paper 'Conditional Mutual Information for Disentangled Representations in Reinforcement Learning' (https://arxiv.org/abs/2305.14133). These files contain the evaluation returns for all algorithms and seeds used to create Figures 4 and 5 in the paper. Further details are provided in the README file.
DOI: 10.5281/zenodo.10036511
title: Indicator list

description: A data set of existing and relevant sustainability indicators, gathered through a systematic screening of a large number of sources, identified by the expertise in the WP6 project group. 
 
The compilation resulted in 983 indicators, described with respect to: • Sustainability dimension  • Corresponding SDG • Geographical scale • Sub-area  • Target audience • Indicator • Unit • Explanation • Source
DOI: 10.5281/zenodo.10036510
title: Indicator list

description: A data set of existing and relevant sustainability indicators, gathered through a systematic screening of a large number of sources, identified by the expertise in the WP6 project group. 
 
The compilation resulted in 983 indicators, described with respect to: • Sustainability dimension  • Corresponding SDG • Geographical scale • Sub-area  • Target audience • Indicator • Unit • Explanation • Source
DOI: 10.21227/31na-kz23
title: Algerian forest fires dataset 

description: The first Algerian forest fires dataset consist of data on forest fires occurrence in Algeria related to meteorological observations and the fire weather indices. Our dataset includes mainly the daily meteorological observations and the Fire Weather Index (FWI) system components. Given the lack of publically available datasets on data on forest fires occurrence in Algeria we have created this one to study the feasibility of the appliance of machine learning algorithms as models for forest fires prediction in the context of Algeria. This dataset is valuable for researchers working on forest fires forecasting and monitoring systems in Algeria and also over the word, in particular the Mediterranean countries that have similar climate. This dataset is publically available in several repositories for research. It was elaborated in 2018 and first donated to the UCI online repository on October 2019.
DOI: 10.6084/m9.figshare.22194118
title: Datasets-for-CNN-evaluation

description: Datasets used for CNN evaluation
DOI: 10.6084/m9.figshare.22194118.v4
title: Datasets-for-CNN-evaluation

description: Datasets used for CNN evaluation
DOI: 10.5281/zenodo.10034488
title: Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models.

description: Precise values obtained during the research that led to the publishing of scientific paper entitled 'Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models'.
DOI: 10.5281/zenodo.10034487
title: Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models.

description: Precise values obtained during the research that led to the publishing of scientific paper entitled 'Allele-specific quantitation of ATXN3 and HTT transcripts in polyQ disease models'.