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Replication data for "A Murine Model of Glioblastoma Initiating Cells and Human Brain Organoid Xenograft for Photodynamic Therapy Testing"
Despite decades of research, brain tumours remain among the deadliest of all forms of cancer. As recurrence in glioblastoma is locally generated around the resection cavity, the ability of these tumours to resist almost all conventional and novel treatments relates, in part, to the unique cell-intrinsic and microenvironmental properties of neural tissues. Photodynamic therapy (PDT) relies on photo-toxic effects induced by specific molecules (photosensitisers) upon absorption of photons from a light source. Such toxic effects are not specific to a particular molecular fingerprint of GBM, but rather depend on selective accumulation of the photosensitiser inside tumour cells and their sensitivity to the effects, triggered by light. Here we report four new GICs obtained in Hospital Clinic Barcelona, HCB-GICs, to optimize preclinical studies of PDT, and to explore neoadjuvant protocols for a more effective PDT and photodiagnostic visualization. HCB-GIC cells express the known “stemness” markers Nestin and SOX2, Vimentin and CD44, contributing to invasiveness and to infiltrative ability within brain organoids, properties associated also to mesenchymal phenotype. HCB-GICs are susceptible to be treated with PDT, since the burden of cells into organoids decreased while increased cell death after irradiation. Moreover, we optimize an experimental in vivo model, able to assess the antitumoral effect of 5-ALA mediated PDT in engraftments of HCB-GICs co-cultures on the kidneys of high immunosupressed mice. In conclusion, we suggest that PDT might be an effective therapy to kill GICs with heterogeneous molecular fingerprint that achieve high levels of PPIX accumulation in tumor niche
Acute effects of the FIFA 11+ warm-up on knee mechanical, metabolic and neuromuscular responses in recreational soccer players
Conjunt de dades amb mesures metabòliques, elèctriques i mecàniques del genoll abans i després del protocol FIFA 11+ en 46 futbolistes recreatius (23 homes i 23 dones). El conjunt inclou valors de saturació muscular d’oxigen (SmO?), electromiografia superficial (EMG), força isomètrica màxima (MVC), taxa de desenvolupament de força (RFD), impuls, i propietats mecàniques del teixit muscular (MyotonPro®).
This dataset includes metabolic, electrical, and mechanical knee measurements taken before and after the FIFA 11+ warm-up in 46 recreational soccer players (23 males and 23 females). It comprises muscle oxygen saturation (SmO?), surface EMG, maximal isometric contraction (MVC), rate of force development (RFD), impulse, and tissue mechanical properties (MyotonPro®)
Replication Data for: Robust RFID identification in conveyor belt systems
This dataset comprises samples collected from an RFID reader under two experimental conditions: (1) the RFID tag remains static, and (2) the tag is moved across the antenna at a fixed distance. The purpose of the dataset is to provide signal measurements for analyzing the influence of movement and distance on RFID communication characteristics.
The data is stored in CSV format. It is intended for research on RFID signal behavior under varying movement conditions and can be used for tasks such as classification, segmentation, and signal analysis.
The dataset consists of samples collected from an RFID reader during two conditions: (1) the tag remains static, and (2) the tag is moved across the antenna at a fixed distance. Each record includes the following attributes:
peakRssi (dBm): Peak received signal strength.
phase (degrees): Signal phase.
channel (Hz): Communication channel index.
idHex: Tag identifier in hexadecimal format.
time_reader (ms): Timestamp from the reader.
power (dBm): Transmission power level.
offsetDirection: Direction of movement offset.
offset: Numeric offset value.
moveType: Movement type (static or dynamic).
The data is stored in CSV format. It was collected to analyze the effect of movement and distance on RFID signal characteristics
Replication Data for: "CheShImP: Democratising Magnetic Resonance Spectroscopic Imaging Data Processing"
MRI images (proton and chemical shift) data extracted from a Bruker 3T BioSpec system using ParaVision 360 V3.4 and processed CSI and EPSI spectroscopic images corresponding to the validation of an automated platform to process MRI chemical shift images (CheShImP). We assessed the platform on unfertilised chicken eggs, a male mice and microfluidic platforms. We evaluated both proton (1H) and carbon (13C) spectroscopy, as well as enzymatic reactions. Hence, this data provides examples to process using CheShImP (developed in MATLAB), an easy-to-use, open-source platform as well as how to handle the output data from the platform using common Python code. To access the software presented in this work and explanation documentation on how to use it, access the GitHub repository https://github.com/DavidGomezCabeza/CheShImP
Participatory Budgeting in Catalonia through the Decidim Platform
These data contain two different datasets of the project ‘Citizen evaluation of participatory budgets in Catalonia: satisfaction, problems and effects on political trust and legitimacy’ (DEMOC 2023 EXI/100/22/000007) funded by the Direcció General de Bon Govern, Innovació i Qualitat Democràtiques -Generalitat de Catalunya-. This work was also funded by the Departament de Recerca i Universitats through the support for consolidated research groups (2021 SGR 01397). The project has been carried out by members of the CNSC and GADE research groups of the Open University of Catalonia (UOC).
The research has focused on potential measures to evaluate participatory budgeting and understand the success and institutionalisation of these initiatives, with a focus on the construction of an unpublished database on participatory budgets in Catalonia to explore the explanatory factors of continuity and abandonment and, in particular, the effect of the political context and changes in local government. The first dataset, the 'Participatory Budgeting in Catalonia through the Decidim Platform: Municipalities' Mandates Dataset' (A1 English version, and A2 Catalan version) groups together different variables to examine the continuity of participatory budgeting programmes by municipalities that use the Decidim platform. The dataset is structured around political mandates (2015–2019, 2019–2023, 2023–2027) of municipalities with longitudinal data. The structure of the codebook proceeds as follows in three sections:
1. The first group of variables gathers different information about adoption, continuity, abandonment, and precedent experience of implementation in the municipalities. All these sections have been tagged manually between two data collectors, as it is also part of the ‘Participatory Budgeting in Catalonia through the Decidim Platform.
2. The second group includes different variables regarding the political context of the municipalities across the mandates, from open data sources of the Catalan and Spanish governments and official statistics. All these sections have been developed with data from public statistical records and official open data.
3. The third group contains different variables about the internal procedural features of the implementation of PB programmes in each municipality. Future updates of this dataset will expand this section. This last group, with some 'wrangling' adjustments, can be enriched by the vast number of variables available in the second dataset.
The second dataset, Participatory Budgeting in Catalonia through the Decidim Platform: Participatory Budgeting -PB- Processes Dataset (B1 English version and B2 Catalan version), aims to classify and typologize the different characteristics of participatory budgeting processes based on their initiation and implementation. It is structured around processes, with each unit of analysis representing a participatory budgeting initiative implemented through the Decidim between 2016 and 2025. The structure of the codebook proceeds along 7 groups of variables that categorize different phases of implementation:
1. From the preliminary group to the second group, the dataset gathers various initial characteristics and contextual factors that shape the initiative’s impulse, as well as organizational features and design decisions.
2. From the third to the fifth group, it includes elements of the proposal phase, characteristics of the workshop processes, and features related to the filtering and prioritization of proposals.
3. From the sixth to the seventh group, it covers aspects of the voting phase, along with features related to project monitoring and process evaluation. Furthermore, a final set of supplementary factors is included to facilitate data organization and integration with the ‘Participatory Budgeting in Catalonia through the Decidim Platform: Municipalities’ Mandate Dataset’
Replication Data for: The Role of Intelligence, the Dark Triad and Dysfunctional Impulsivity in Compliance with Preventive Measures Associated with COVID-19
This dataset includes data from the published article " Compliance with COVID-19 Preventive Measures: The Role of Intelligence, the Dark Triad and Dysfunctional Impulsivity ", published in the journal Psicothema (https://doi.org/10.7334/psicothema2022.264). More specifically, it includes data about 786 participants (60.9% women) who were resident in Spain. They were between 15 and 75 years old. This sample was recruited online from February to April 2021. The exclusion criteria for participating in this study were being under 15 years old, not resident in Spain, or not providing informed consent. The data includes their ages, gender, civil status, household incomes, if they had received at least one dose of a vaccine against COVID-19, and responses to the COmpliance with pandemic COmmands Scale (COCOS questionnaire). It also includes their overall scores for the International Cognitive Ability Resource (ICAR Sample Test), Dickman’s Impulsivity Inventory (DII) and Dirty Dozen (DD) questionnaires. (2025-05-20
Replication Data for: Extracellular vesicles from Escherichia coli strains of the gut microbiota trigger hepatic antioxidant and anti-lipogenic effects via the gut-liver axis in health neonatal rats
Experimental data related to the study analyzing the effects of extracellular vesicles (EVs) derived from probiotic and commensal E. coli strains on liver function via the gut-liver axis. The study includes results from an in vivo model of neonatal rats and from HepG2 cells. In the in vivo model, neonatal rats received daily by oral gavage EVs from the probiotic EcN and the commensal EcoR12 from day 2 to day16 of life. Plasma and liver samples were collected on days 8 and 16 for analysis. The impact of the interventions on intestinal permeability was assessd by measuring plasma zonulin levels. The presence of EVs in the liver was confirmed by immunoblot detection of lipopolysaccharide (LPS) and outer membrane protein A (OmpA). The effects of adminstered EVs on liver function were evaluated by analyzing the expression of genes related to inflammation, oxidative stress, and lipid metabolism using RT-qPCR analysis . The modulatory effects observed in vivo were further validated in vitro by direct stimulation of HepG2 cells with EVs
Movilizaciones sociales para la protección del paisaje del litoral peninsular mediterrárreo español
Recopilación de movilizaciones sociales (de asociaciones, grupos, entidades, etc.) con el objetivo de proteger el territorio y el paisaje de las transformaciones propuestas por diferentes agentes en los municipios y comarcas litorales de la franja mediterránea peninsular española. Se recogen los casos ocurridos desde los años 70 hasta la actualidad (2024). La recopilación se llevó a cabo entre 2022 y 2024. Los casos de movilizaciones se describen a partir de diferentes campos textuales que incluyen:NombreComunidad AutónomaProvinciaBreve descripción del casoDecenio de inicioUso o valor preexistenteSegundo uso o valor preexistenteUso o valor propuesto que desencadena la movilizaciónSegundo uso o valor propuesto que desencadena la movilizaciónResultado¿El conflicto afectó un bien/espacio bajo una figura de protección legal?Posteriormente a la resolución del conflictoComentarios y fuentesNombre de entidad, asociación o agrupación que lidera u organiza la movilizaciónIntensidad del conflicto¿El conflicto ha derivado en un proceso judicial?Enlace web de origen, Relevancia.
Los registros de la base de datos (movilizaciones_litorales_mediterraneo.xlsx) tienen identificadores que permiten relacionar la base de datos con una cartografía puntual (shp) que también se pone a disposición.</p
Replication Data for: Chemiresistor Sensor Based on Gold Ultrathin Metal Films and Self-Assembled Monolayers
Dataset contain two types of measurements: AFM measurements taken with an AFM NX20 from Park and resistance measurements taken with 2-Point Prove and 4-Point Prove methods. The data is organized in the following folders (indicated as “[FOLDERNAME]”):
“AFM”: Includes the AFM measurements taken for the thickness characterization. The folder includes a Resume.xlsx file that resumes the thickness of the sensors UTMFs. Inside this folder there is a subfolder “Samples 2025” with the Raw AFM data.
Inside “Samples 2025” there are subfolders for each sensor thickness “2nm”, “3nm”, “4nm”, and “8nm”. There is also a folder called “40nm” which includes the AFM measurements on thick gold ribbons to characterize the SH-PEG-COOH self-assembled monolayer (SAM) formation, before and after SAM formation. In a similar way, the folder “Thickfilm” includes the measurements on thick gold ribbons to characterize the SH-PEG-Biotin SAM with 10kDa and 400Da molecular weight, before and after the SAM formation.
All AFM data is saved in .tiff files (standard format generated by the Park software) as well as .txt files generated during the data analysis using Gwyddion, which includes the height profiles and averaged heights.
Folders “Air”, “COOH_Thiol_PEG”, “MilliQ”, and “Strep-Biotin_Thiol_PEG” have the resistance measurements taken with the 2-Point Prove method and using the created LabVIEW software, in the fabricated chemiresistors.
The folders “Air”, “COOH_Thiol_PEG”, and “MilliQ” have the same subfolder structure. First subfolders containing the thickness of the sensor UTMF: “2nm”, “3nm”, “4nm”, and “8nm”.
Inside each “Xnm” folder, subfolders indicating when the sample(s) (chemiresistor(s)) was/were fabricated, and inside these folders, subfolders indicating when the measurement was done.
Inside “Strep-Biotin_Thiol_PEG” there are two subfolders indicating the SAM formed “Biotin_Thiol_PEG-10K” and “Biotin_Thiol_PEG-400”.
Inside each “Biotin_Thiol_PEG-X” folder, there are two subfolders, “SAM” and “Strep.Con”, with subfolders indicating when the sample(s) (chemiresistor(s)) was/were fabricated, and inside these folders, subfolders indicating when the measurement was done.
“SAM” folder have the data of the “Biotin_Thiol_PEG-X” SAM formation, and “Strep.Con” folder have the data of each Streptavidin concentration measured.
For each 2-Point Prove measurement, three files are created. For all the files in the data set, the name structure is the same: “[Time of the measurement end]_[Data showed]_[Day when the measurement end]_[Custom name].txt”. The custom name includes info of the time of sample, fabrication data and analyte measured. Only one type of data was used in the paper; “Rvstime”. This .txt files contain tabular data in two columns indicating the measured resistance and the relative time of the measurement.
Lastly, a file called “Rs.xlsx” contain the sheet resistance measurements taken with a 4-Point Prove on UTMFs with different thicknesses. </ul
Muscle oxygenation dynamics during severe-intensity running bouts in national level triathletes
The spreadsheet contains physiological data used to examine muscle oxygenation dynamics during severe-intensity running bouts in national level triathletes