Resultados de investigación

Datasets associated to the publicaton 10.1021/acs.chemmater.5c01878. The readme files for each dataset are within the corresponding folder., All data can be accessed with any program that reads csv and txt. TAS raw data need processing, but processed data is also given.

Data corresponding to Figures 2-9 of the manuscript, For Figure 5, OriginPro statistical analysis software is required. For Figure5 - Anisotropy data, OriginPro statistical analysis software is required. For the rest of the data, Microsoft Excel or Origin software is suitable.

Excel where data for each figure is in different sheets. Description of methods used for collection/generation of data: Absorbance measurements at 340 nm with spectrophotometer Methods for processing the data: Microsoft Excel and Graphpad Prism Software- or Instrument-specific information needed to interpret the data, inclusión software and hardware version numbers: Microsoft Excel and Graphpad Prism Environmental/experimental conditions: Absorbance measurement at 340 nm, Microsoft Excel

STM/STS data acquried at IMDEA laboratories, XAS/XMCD/XLD data acquired at ALBA Synchrotron (BOREAS beamline)., The software to open the STP files is WSxM.

Datos electromiográficos en máxima contracción voluntaria y gesto deportivo, además de los demográficos permitenentes. Todos ellos codificados para cada jugadora. Medición en jugadoras de baloncesto con y sin inestabilidad crónica de tobillo, la activación de la musculatura peronea en diferentes gestos deportivos. Metodología (empleada para la recogida o generación de los datos): Registro EMG de la musculatura peronea en gesto deportivo y en máxima contracción voluntaria Microsoft Form para la recogida de datos demográficos. Software: mDurance R surface EMG system (mDurance Solutions SL, Granada, Spain), a portable sEMG system that consists of three parts​18​: (i) A Shimmer3 EMG unit (Realtime Technologies Ltd., Dublin, Ireland), which is a bipolar sEMG sensor for muscle activity acquisition; (ii) the mDurance mobile application (Android).

Galectin-1 and -9 (Gal1/9) are essential mediators of immune-inflammatory responses, which makes these proteins potential biomarkers for immune-mediated diseases (IMIDs), such as rheumatoid arthritis (RA), psoriasis (PS), psoriatic arthritis (PsA), inflammatory bowel disease, and systemic lupus erythematosus (SLE). Our aim was to evaluate plasma Gal1/9 differences between IMID patients and healthy donors (HD). We analyzed 980 plasma samples divided into two analytical cohorts (600 discovery group and 380 validation group). Generalized linear models estimated Gal1/9 levels, adjusting for sex, age, storage time, and plate variability. In the overall IMID group, plasma Gal1 levels were comparable to those of HD, while Gal9 levels were significantly elevated. Levels varied across individual diseases: SLE patients consistently showed the highest Gal1/9 levels compared to both HD and other IMIDs, and RA patients had elevated Gal9 levels versus HD. Both Gal1 and Gal9 plasma levels correlated positively with higher disease activity, and Gal1 was higher in patients with longer disease duration. After adjustment for these confounders, SLE and RA patients maintained the highest Gal9 levels compared to HD. Our study demonstrates that Gal1 and Gal9 are differentially expressed across IMIDs, with particularly elevated levels in SLE, and both galectins are associated with disease activity.

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Recogida de datos de pacientes con carcinomatosis peritoneal, No

This repository contains the anonymised participant-level dataset generated during the GLIAS-III study, a prospective multicentre observational cohort investigating continuous glucose monitoring (CGM), glycaemic variability and clinical outcomes in patients with acute ischaemic stroke. The dataset is made publicly available to promote transparency, reproducibility and secondary research while ensuring compliance with applicable ethical and data protection regulations., The repository contains the following files: -GLIASIII_dataset.csv: Anonymised participant-level dataset. -GLIASIII_Metadata.pdf: Complete metadata describing study design, methodology, variables, anonymisation procedures and data processing. It includes the Data Dictionary (definitions, coding and units) -GLIASIII_README.txt: General information and instructions for dataset reuse.

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