Resultados de investigación

This upload contains data for the article "RF Coil Design for Accurate Parallel Imaging on 13C MRSI using 23Na Sensitivity Profiles" published in Magnetic Resonance in Medicine, https://doi.org/10.1002/mrm.29259. Data are organized with respect to the figures in the article. To read and process the GE MR raw files (p-files) GE software tools are required including Matlab software from the GE MNS Research Pack. For the human data, the raw data are provided in mat-files without header information. All data were processed in Matlab to produce the results presented in the article. Please do not hesitate to reach out, if you are interested in any data processing methods or details, we will be happy to share relevant source code.

Data set associated with the published article entitled: Mineralogy, Geochemistry and Environmental Hazards of Different Types of Mining Waste from a Former Mediterranean Metal Mining Area

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.

This dataset includes the data obtained during the installation of a camera system and development of a LSPIV methodology to determine the velocities of runoff generated in the BLOCK rainfall simulator located at the Universidade da Coruña. The dataset consists of raw and processed images and surface velocity maps obtained during the assessment of the full process. This data will help to improve and assess imaging techniques in urban environments with the presence of realistic rain, and test new preprocessing and postprocessing methods to optimize the different processes. This dataset is a result from the Joint Research Activity 3 (WP8, Improving Resilience and Sustainability in Urban Drainage solutions), Task 8.1.1. (Development of Scalable Hydrodynamic Performance Protocols.) within Co-UDlabs project, funded under the European Union s Horizon 2020 research and innovation programme under grant agreement No 101008626.

This dataset contains the records of 24 distinct parameters obtained from regular standard maintenance analyses during 10 years of monitoring of four wind turbine gearbox lubricants (M01, M02, S01, and S02), used for the statistical study of trends, performance differences, correlations, and the main maintenance parameters. The present dataset has been preprocessed from a more extensive one to avoid inconsistencies, noncoherent or corrupted data, as well as to eliminate confidential data from the participating companies., European Union FEDER Program; Ministerio de Ciencia e Innovación (MCIN/AEI): Project PID2021-122169NB-I00.

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.

1283 multispectral images with 37 reflectance bands in numpy array format (.npy) of 5 different grape varieties originating from the province of Murcia, Spain. Ready to be used in any supervised learning pipeline to fit classification or regression models. Ground truth is provided together with the images in a tab separated text file with the information of each grape type, weight, Brix index and anthocyanines content.