BUSCADOR RECOLECTA

[Methods for processing the data] Records of Physalia physalis sightings are generated/obtained from various sources of information; individual informants who submit sightings electronically or verbally, press releases and notices from coastal monitoring stations., [Description] This dataset provides measurements of Physalia physalis abundance on the coast of the Gulf of Cádiz conducted over 2009-2022, covering Spanish and Portuguese coasts. The dataset is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in text format) containing a detailed description of the data structure. For more details, see the publication: - Macías, D., García-San Martín, L., Prieto, L. (2025). The influence of atmospheric and oceanographic conditions on the occurrence of Portuguese Man-o-War (Physalia physalis) along Iberian coasts. The case of summer 2019 and potential future implications. (Manuscript accepted for publication in Frontiers in Marine Science). This research was funded by MarinERA (EU) (grant number CTM2008-04036-E/MAR "Inter-basin exchange in the changing Mediterranean Sea: Impact on the ecosystems in the vicinity of the Straits connecting the Mediterranean Sea with the adjacents Basins, proyect MedEx), Spanish Ministerio de Ciencia e Innovación (grant number CTM2011-22856 "Forzamientos físicos en la proliferación costera de organismos gelatinosos: un análisis combinado de modelado y experimentación, JELLY-PHYS), Seventh framework programme of the European Community for research and technological development including demonstration activities (grant number FP7-287600, PERSEUS), Spanish Ministerio de Economía y Competitividad (grant number CTM2016-75487-R “Respuesta de medusas mediterráneas al efecto interactivo de motores climáticos de impacto: supervivencia en un Mediterráneo más cálido y ácido”, proyect MED2CA), CSIC (grant number 201730I072 "Forzamientos físicos en la proliferación costera de organismos gelatinosos”) and the Contract Agreement “Detección de medusas en el mar Balear y su relación con las condiciones ambientales: hacia el desarrollo de un sistema de predicción pre-operacional” among Govern des Illes Balears, SOCIB and CSIC (Disposición 15052 del BOE núm. 310 de 2020). The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International., [General Notes] The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files. Data files are in UTF8 encoding, plain text format with comma used as the delimiter. All data files have column titles as the first line. One column is written for each variable. Missing data are filled with NaN., [Geographical coordinates of the sampling area] coordinates.txt provides the geographical coordinates of the sampling area. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively., This dataset includes data collected from ICMAN-CSIC (Spain) between 2009 and 2022 that have been used to estimate the seasonality and inter-annual variability of Physalia physalis abundance in the Gulf of Cádiz., This research was funded by MarinERA (EU) (grant number CTM2008-04036-E/MAR "Inter-basin exchange in the changing Mediterranean Sea: Impact on the ecosystems in the vicinity of the Straits connecting the Mediterranean Sea with the adjacents Basins, proyect MedEx), Spanish Ministerio de Ciencia e Innovación (grant number CTM2011-22856 "Forzamientos físicos en la proliferación costera de organismos gelatinosos: un análisis combinado de modelado y experimentación, JELLY-PHYS), Proyecto Integrado del Séptimo Programa Marco de la Unión Europea (grant number FP7-287600, PERSEUS), Spanish Ministerio de Economía y Competitividad (grant number CTM2016-75487-R “Respuesta de medusas mediterráneas al efecto interactivo de motores climáticos de impacto: supervivencia en un Mediterráneo más cálido y ácido”, proyect MED2CA), CSIC (grant number 201730I072 "Forzamientos físicos en la proliferación costera de organismos gelatinosos) and the Project Agreement “Detección de medusas en el mar Balear y su relación con las condiciones ambientales: hacia el desarrollo de un sistema de predicción pre-operacional” among Govern des Illes Balears, SOCIB and CSIC (Disposición 15052 del BOE núm. 310 de 2020)., Peer reviewed

Independent files with detailed numeric analysis of precipitation evolution and trends for different countries in the Mediterranean region., Peer reviewed

Code and data sources for paper: Kubota et al. Precipitation steepness drives global patterns of changes in bird community composition without major phylogenetic signal. Global Ecology and Biogeography (accepted Feb-2025). Please read README file., Peer reviewed

MCIN/AEI/ 10.13039/501100011033 European Regional Development Fund LIFE17NAT/IT/464 SAFE-CROSSING Romanian National Authority for Scientific Research and Innovation Creșterea capacității și performanței instituționale a INCDS ‘Marin Drăcea’ în activitatea de CDI—CresPerfInst Joachim and Hanna Schmidt Stiftung für Umwelt und Verkehr, Germany European Union-NextGenerationEU, Ministerio de Universidades y Plan de Recuperacion, Transformacion y Resiliencia Consejo Superior de Investigaciones Cientificas (CSIC), Peer reviewed

Datasets collected in fallow lands in the agricultural lands within the Lleida plain (Catalonia, north-eastern Spain) on 2022-2023. These data is analyzed in the research article: Mechanical management decreases arthropod biomass by changing vegetation structure in fallow fields of high conservation value (on press). See the article for further information on experimental design and data collection. Datasets incude: Biomass: arthropod abundance data, collected with pitfall traps, classified by order and converted to biomass values Orthoptera: orthoptera counts from transects. Classified by body size Pollinators: pollinators counts from transects. Classified by group, family and genre Vegetation: all previous datasets include data from vegetation structure associated to the pitfall station or transect, Peer reviewed

Consistent monitoring of seawater spectrophotometric pH on the total hydrogen ion scale (pHT) has been challenged by an evolving method, with changes in formulation and the purity of the meta-cresol purple (mCP). Critically, the method still lacks metrological traceability to the International System of Units (SI). Using real seawater samples, we demonstrate that spectrophotometric pHT measurements obtained with unpurified (UNPUR) and purified (PUR) mCP can be harmonized to within 0.003 pH units, the climate-goal threshold. This level of agreement is only achieved when mCP impurities are quantified for both the UNPUR and PUR mCP, and impurity-corrected absorbance data is used in the same formulation to calculate pHT. We applied this approach to a ship-based pHT time-series that transitioned from UNPUR to PUR mCP measurements, achieving agreement better than 0.003 pHT units. Our results show that previous claims suggesting that UNPUR mCP underestimates pHT in the upper pH range are misleading, as they were based on the inappropriate use of absorbances obtained with UNPUR mCP with a formulation developed for PUR mCP. In fact, our data reveal better agreement between UNPUR and PUR pHT in the upper pH range, while UNPUR mCP tends to overestimate pHT in the lower pH range. These findings highlight the urgent need for the global chemical oceanography community to establish a spectrophotometric pHT method with full SI traceability, along with certified reference materials and characterized mCP. This work supports the need for harmonization efforts to ensure the reliability of pHT data in global synthesis products., We are grateful to the captains, staff, principal investigators, researchers and technicians who contributed to acquiring and processing the hydrographic and ancillary chemical data from IEOOS (RADPROF and RADCAN) and MSM72 cruises. The financial support for the MSM72 cruise was provided by the project of the Deutsche Forschungsgemeinschaft (grant U4600DFG040204). The IEOOS program was supported by EU FEMP and FEMPA programs and the Spanish Ministry for Ecological Transition and the Demographic Challenge funds. M. Álvarez was supported by the IEO RADPROF 2021-2023 project., Peer reviewed

Ultrasound imaging plays an important role in screening early detection and breast cancer diagnosis. However, speckle noise affects medical ultrasound images and degrades the visual radiologic evaluation, which generally causes several difficulties in identifying the malignant and benignant regions. Denoising is an important step in preprocessing medical images, because it restores the maximum details preserving edges and all information of the images, achieving successful accuracy in anomalies classification. To reduce the speckle noise and retain image features well, we proposed two GANs models to breast ultrasound speckle denoising as preprocessing image, (i) Conditional GAN and (ii) WGAN. The better denoising image quality was measured by peak signal to noise ratio (PSNR) and structural similarity index (SSIM). The experimental analysis clearly shows that the CGAN method achieves better visual image quality in terms of PSNR=38.18 dB and SSIM= 0.96 with respect to WGAN model (PSNR=33.0068 dB and SSIM=0.91) on the small Ultrasound training datasets. Thus, we conclude that GANs can help in denoising ultrasound medical imaging, and as a future work these data can be used as computer system input for image segmentation and classification, reducing the hand-dependence and helping radiologists to improve breast cancer detection., Ministerio de Educación y Formación Profesional PID2019-107790RB-C22 MCIN/AEI/10.13039/501100011033., Peer reviewed

Usage Policies The wwPDB policy states that data files contained in the PDB archive are available under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedicatio, Spanish Ministry of Science, Innovation, and Universities, Spanish Ministry of Economy and Competitiveness, 9gui.pdb, Peer reviewed

Mathematica notebook for journal article "Mechanistic Insights into the Potentiodynamic Electrosynthesis of PEDOT Thin Films at a Polarisable Liquid|Liquid Interface". Using the Mathematica notebook, figures 3a, 5b and S8c can be generated., Peer reviewed

Usage Policies The wwPDB policy states that data files contained in the PDB archive are available under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedicatio, Spanish Ministry of Science, Innovation, and Universities, Spanish Ministry of Economy and Competitiveness, 9guj.pdb, Peer reviewed