Resultados de investigación

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

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

Esta tabla corresponde a los datos utilizados para el artículo "Genetic variation in UGT1A1 is not associated with altered liver biochemical parameters in healthy volunteers participating in bioequivalence trials", Sí

Background: Helping people recover from aphasia is among the top 10 research priorities relating to life after stroke. Objective: We aimed to evaluate the feasibility of dubbing techniques (using newly developed software) for post-stroke aphasia therapy and explore its potential efficacy. Methods: Randomised, crossover, interventional, feasibility trial that included patients with chronic post-stroke non-fluent aphasia. The intervention consisted of an individualised programme (16 sessions; 8 weeks) based on dubbing words and sentences progressively adapted to the severity of the aphasia. Patients were allocated to groups that underwent therapy within the first 3 months, or between 3 and 6 months from inclusion, each group serving as the control during the non therapy periods. Outcomes were the pre-post differences in the Communicative Activity Log, the Boston Diagnostic Aphasia Examination, the General Health Questionnaire-12, the Stroke Aphasia Quality of Life Scale, and the Western Aphasia Battery Revised, administered by psychologists blinded to the patients’ allocation. Results: Recruitment was limited due to COVID-19 and prematurely stopped because of funding coming to an end. A total of 23 patients were randomised, 20 of whom completed the study (1 withdrew consent, and 2 dropped out). The adherence rate to the allocated group was 95.3%. No statistically significant differences were found in any of the outcomes; however, 17 (85%) patients reported subjective improvements in communication skills. Conclusions: This trial shows the feasibility of dubbing therapy (using dedicated software) for patients with post-stroke non-fluent aphasia. Although it lacks statistical power, certain effects on language and communication cannot be ignored.

Dataset of 400 pomegranate tree (Punica granatum L. ‘Wonderful’) images, with the corresponding fruit masks. The dataset is designed for training artificial intelligence models for instance segmentation. The pictures were collected by means of mobile devices (smartphones), in random trees, from different distances, orientations and in varying lighting conditions. The resolution of the images and masks is 640x480 pixels. The dataset is divided into training (70%), validation (15%) and test set (15%). Stratification was performed in 3 periods of the season to ensure that all fruit ripening stages were present in each subset. Masks consist of a very detailed manual annotation of the visible part for each of the fruits in the images.

Description: Column 1: Longitude (°) Column 2: Latitude (°) Column 3: Crustal thickness, Tc (km) Column 4: Effective elastic thickness, Te (km) Column 5: Te error (km) Column 6: Surface heat flow, Fs (mW/m²) Column 7: Surface heat flow, 1-σ uncertainty (mW/m²) Column 8: Temperature at the base of the crust, Tcb (K) If you use the crustal thickness model in your work, please cite: Jiménez-Díaz, A., Ruiz, J., Kirby, J.F., Romeo, I., Tejero, R., Capote, R., 2015. Lithospheric structure of Venus from gravity and topography. Icarus 260, 215–231. https://doi.org/10.1016/j.icarus.2015.07.020 If you use the effective elastic thickness model in your work, please cite: Jiménez-Díaz, A., Ruiz, J., Kirby, J.F., Romeo, I., Tejero, R., Capote, R., 2015. Lithospheric structure of Venus from gravity and topography. Icarus 260, 215–231. https://doi.org/10.1016/j.icarus.2015.07.020 Ruiz, J., Jiménez-Díaz, A., Egea-González, I., Romeo, I., Kirby, J.F., Audet, P., 2024. Heat loss and internal dynamics of Venus from global surface heat flow estimates. arXiv:2401.06558. https://doi.org/10.48550/arXiv.2401.06558

Earthworm community metrics data collected during the years 2019 and 2020 from organically and conventionally managed wheat fields (188 fields in total) in nine pedo-climatic zones of Europe, together with associated site information on climate, soil properties and agricultural management of the fields.

Data on an experiment to find out the interconnections between soil physicochemical properties and the microbial communities residing in the topsoil and the subsoil of irrigated orchards under a semiarid Mediterranean climate. We collected soil samples from two depths, topsoil (0-10 cm) and subsoil (30-50 cm), noting elevated salinity levels in the topsoil due to irrigation practices. Utilizing high-throughput 16S rRNA gene and ITS1 region amplicon sequencing, we characterized the bacterial and fungal communities across these two depths.