Resultados de investigación

This document contains the template used for the survey "Analysis of the gender gap in Engineering and Architecture studies" and the summary of responses. Data collection was carried out through an online survey using a Google form. The form was open from Monday, October 23, 2023 to Monday, November 20, 2023.

This dataset contains ISIMIP2a (https://www.isimip.org, Schewe et al. 2019) simulation data from 16 global water models: CLM4.0 (Leng et al. 2015, Oleson et al. 2010), DBH (Tang et al. 2007, Tabng et al. 2011), H08 (Hanasaki et al. 2008, Hanasaki et al. 2008), JULES-B1 (Clark et al. 2011, Best et al. 2011, Harper et al. 2016), JULES-W1 (Best et al. 2011), LPJmL (Sitch et al. 2003, Schaphoff et al. 2013, Rost et al. 2008), MATSIRO (Pokhrel et al. 2014, Takata et al. 2003, Pokhrel et al. 2011), MPI-HM (Stacke et al. 2012), ORCHIDEE (Traore et al. 2014, Guimberteau et al. 2014), PCR-GLOBW (Sutanudjaja et al. 2018), SWBM (Orth & Seneviratne 2015), VIC (Liang et al. 1994, Haddeland et al. 2006, Zhou et al. 2016), WAYS (Mao et al. 2019), WaterGAP2-2ISIMIP2a (Müller Schmied et al. 2016, Müller Schmied et al. 2014, http://watergap.de) WaterGAP2-2c (Müller Schmied et al. 2015, Müller Schmied et al. 2014, Müller Schmied et al. 2017), and WEB-DHM-SG (Qi et al. 2020, Shrestha et al. 2010, Wang et al. 2009). With version 2.0 of this dataset, model output for WAYS, WaterGAP2-2c, and WEB-DHM-SG was added and the DOI page moved to the new ISIMIP repository.

From file P1_medidas6_6_10_8192_2018-03-09-211625.mat to P14_medidas6_6_10_8192_2018-03-31-032835.mat lies the measurement set for the LoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 14 transmitter positions. The first and second dimensions of H correspond to the receiver URA, the third to the transmitter ULA, the fourth to frequency, and the fifth to the positions at which the transmitter ULA was varied. The file LoS.m contains the Matlab code for the analysis of LoS measurements, including the plotting of path loss and RMS delay spread across the entire FR3 bandwidth, as well as the convergence analysis between measurements and simulations. The associated files, from VERSION1.cir_LoS.t001_1.r005 to VERSION1.cir_LoS.t001_15.r005, include the complex impulse response (CIR) obtained from the simulations. Additionally, the file LoS.subbands contains the Matlab code for the analysis of FR3 subbands under LoS conditions. From file medidas2018-11-28-112347.mat to file medidas2018-11-28-133253.mat lies the measurement set for the NLoS case, consisting of the frequency response H(:,:,:,:,p) obtained with the vector network analyzer for each of the 15 transmitter positions. The first dimension of H corresponds to the receiver ULA, the second to frequency, and the third to the positions at which the transmitter was varied. The file NLoS_euclidean_dist.m contains the Matlab code for analyzing NLoS measurements and simulations, including the plotting of path loss and RMS delay spread over the entire FR3 bandwidth. The associated files, from VERSION1.cir.t001_1.r005 to VERSION1.cir.t001_15.r005, contain the complex impulse response (CIR) obtained from the simulations. Furthermore, the file NLoS.subbands.m provides the Matlab code for the analysis of FR3 subbands under NLoS conditions., [SPA] El conjunto de datos consiste en los datos de una serie de medidas, análisis y simulaciones del canal inalámbrico en la banda de frecuencias FR3 en un entorno de interiores en situaciones de visión directa y visión no directa. Las medidas fueron realizadas con un analizador de redes vectorial mediante un barrido en frecuencia en arrays virtuales. A partir de la función de transferencia en frecuencia se obtuvieron los perfiles de retardo en potencia. Se estimó la pérdida de propagación básica, la raíz cuadrada del valor cuadrático medio de la dispersión del retardo y los modelos de propagación de los dos parámetros mencionados respecto a la distancia. Las simulaciones reprodujeron las medidas y sirvieron para analizar brevemente los ángulos de llegada y salida. [ENG] The dataset consists of data from a series of measurements, analyses, and simulations of the wireless channel in the FR3 frequency band in an indoor environment in line-of-sight and non line-of-sight situations. The measurements were performed with a vector network analyzer using a frequency sweep on virtual arrays. The power elay profiles were obtained from the frequency transfer function. The pathn loss, the square root of the mean square value of the delay spread, and the propagation models of the two mentioned parameters with respect to distance were estimated. The simulations reproduced the measurements and were used to briefly analyze the angles of arrival and departure., Grant PID2022-136869NB-C32 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF/EU.”

Supplementary dataset associated with the article “Bioaccessibility of Metal(loid)s From Anthropogenic Contamination in Dry Riverbed Sediments in the Cartagena–La Unión Mining District (Murcia, SE Spain): Implications for Human Health Risk Assessment”. The dataset contains contamination factor (CF), pollution load index (PLI), correlation analyses, hazard quotients (HQ), and carcinogenic risk (CR) results for 52 sediment samples collected from three dry riverbeds affected by historical mining activity in the Cartagena–La Unión Mining District: El Beal (20 samples), Las Matildes (13 samples), and Ponce (19 samples). The dataset includes results based on total metal(loid) concentrations and gastric-phase bioaccessible concentrations determined using the SBRC method., Proyecto PID2019-110311RB-C22.

The files named medidas4_4_4__2025-02-12-xxxxxx contains the channel frequency response, with dimensions of 4×4×4×9285×14 for the D-band and 4×4×4×8092×14 for the W-band. The first dimension corresponds to the receiver uniform linear array (ULA). The second and third dimensions (4×4) represent the transmitter uniform rectangular array (URA). The fourth dimension contains the frequency samples measured by the VNA (9285 for the D-band and 8092 for the W-band). The fifth dimension (14) corresponds to the different positions at which the transmitting URA was placed. D band For the D-band, the relationship between the measurement files and the transmitter positions is defined as follows: medidas4_4_4__2025-02-12-191858 Tx position 1 medidas4_4_4__2025-02-15-175116 Tx position 2 medidas4_4_4__2025-02-05-190501 Tx position 3 medidas4_4_4__2025-02-06-230621 Tx position 4 medidas4_4_4__2025-02-08-170519 Tx position 5 medidas4_4_4__2025-01-30-131834 Tx position 6 medidas4_4_4__2025-01-31-193904 Tx position 7 medidas4_4_4__2025-02-04-145441 Tx position 8 medidas4_4_4__2025-01-22-184320 Tx position 9 medidas4_4_4__2025-01-24-132048 Tx position 10 medidas4_4_4_16384_2025-01-28-143716 Tx position p11 medidas4_4_4__2025-01-25-185634 Tx position p12 medidas4_4_4__2025-01-18-152908 Tx position p13 medidas4_4_4__2025-01-21-142107 Tx position p14 The MATLAB script D_band_full computes the K-factor, coherence bandwidth, frequency-response magnitude, RMS delay spread, and the parameters of the FI and CI models. The MATLAB script D_band_models estimates the parameters of the FI, CI, CIF, and ABG path-loss models. W band For the W-band the relationship between the measurement file and the transmitter positions is defined as follows: medidas4_4_4_8092_2025-07-03-190657 Tx position 1 medidas4_4_4_8092_2025-07-03-170215 Tx position 2 medidas4_4_4_8092_2025-07-03-144335 Tx position 3 medidas4_4_4_8092_2025-07-03-122031 Tx position 4 medidas4_4_4_8092_2025-07-02-181219 Tx position 5 medidas4_4_4_8092_2025-07-01-123100 Tx position 6 medidas4_4_4_8092_2025-07-01-152250 TX position 7 medidas4_4_4_8092_2025-07-02-154639 TX position 8 medidas4_4_4_8092_2025-06-30-183855 TX position 9 medidas4_4_4_8092_2025-06-30-160643 TX position 10 medidas4_4_4_8092_2025-06-30-205212 TX position 11 medidas4_4_4_8192_2025-06-26-204518 TX position 12 medidas4_4_4_8192_2025-06-27-133916 TX position 13 medidas4_4_4_8092_2025-06-30-113953 TX position 14 The MATLAB script W_band_full computes the K-factor, coherence bandwidth, frequency-response magnitude, RMS delay spread, and the parameters of the FI and CI models. The MATLAB script W_band_models estimates the parameters of the FI, CI, CIF, and ABG path-loss models. The MATLAB script D_W_full computes the K-factor CDF and the power delay profile (PDP) for both frequency bands. The function calcula_RMS computes the RMS DS The function coherence_bandwidth_frequency computes the coherence bandwith, This dataset is composed of a set of measurements and the code to analyze the measurements. The files named medidas4_4_4__2025-02-12-xxxxxx contain the channel frequency response, with dimensions of 4×4×4×9285×14 for the D-band and 4×4×4×8092×14 for the W-band. The first dimension corresponds to the receiver uniform linear array (ULA). The second and third dimensions (4×4) represent the transmitter uniform rectangular array (URA). The fourth dimension contains the frequency samples measured by the VNA (9285 for the D-band and 8092 for the W-band). The fifth dimension (14) corresponds to the different positions at which the transmitting URA was placed., Grant PID2022-136869NB-C32 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF/EU.”