Resultados de investigación

Most data can be accessed with any program that reads csv and txt. FLUPS data needs the Surface explorer program from Ultrafast systems. FLUPS and TAS raw data need processing, but processed data is also given. TEM data needs an image processor like ImageJ.

A) BJ datasets: File list:LengthHBCalk;Length7HBCalk;Gz7HBCalk;1DHistHBCSMe-7-HBC-SMe;1DHisClustersHBCalk-7-HBC-alk;1DHis7HBCalkSeveralrounds. Relationship between files:1D histograms, length distributions, and examples of breaking traces. Description of methods used for collection/generation of data: STM-BJ technique (-0,16 Vias Voltage). Methods for processing the data: alignement at G0, plateau finding macro, clustering separation when needed. Environmental/experimental conditions: air, RT. Format:.TXT. B) NMR datasets: File list:NMR7-HBC-alk;NMR7-HBC-SMe;NMRHBC-SMe;NMRHBC-alk Relationship between files:NMR of the prepared compounds. Description of methods used for collection/generation of data: Bruker (400 MHz). Methods for processing the data: solevent peak adjustment. Environmental/experimental conditions:CDCl3 or CD2Cl2. Format: CSV, compatible with any spectrum analysis program., Any program that reads .txt files

Data reported in a scientific article 10.1002/adom.202400161 Files 4-5 and files 6-9 belong to same set of measurements, Excel/Origin

Data are included in an Excel file where each figure is in different sheets. Data represent values obtained after processing individual activities recorded with optical tweezers (1kHz, 0.1 pN)., Methods for processing the data: MatLab and Origin. Software needed to interpret the data: Microsoft Excel, Origin. Software to run code: Python Interpreter, python.org.

STM/STS data acquried at IMDEA laboratories. DFT calculations performed at ICMM-CSIC., The software to open the STP files is WSxM.

STM/STS data acquried at IMDEA laboratories. DFT calculations performed at Institute of Physics, Academy of Sciences of the Czech Republic, The software to open the. pxp files is Igor.

Microsoft Excel

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

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.