BUSCADOR RECOLECTA

Soil acidification as a global change factor can devastatingly affect plant growth and productivity. In frequently disturbed ecosystems, plant resprouting ability strongly determines biomass reconstruction and resilience after aboveground damage. However, how plant regrowth responds to soil acidification remains largely unknown, especially regarding the role of the rhizosphere in mediating this response. We manipulated a soil-acidification gradient via adding purified elemental sulfur powder at various rates (0-50 g S m−2 year−1) in a frequently mown meadow. Shoot regrowth of functional groups were measured after clipping and supporting roles of rhizosphere versus bulk soils were disentangled using isotope labelling along the acidification gradient. Regrowth of grasses and sedges increased while forbs decreased along the acidification gradient. The results suggest that grasses were competitors capable of taking up nutrients from both rhizosphere and bulk soils, while sedges were acid-tolerators with lower sensitivity to decreased nitrogen-mineralization rates. Forbs, as typical ruderals, were vulnerable to N competition with microbes, particularly in the rhizosphere soil. Therefore, biomass regrowth of forbs was explained more by physicochemical and biological parameters from the rhizosphere than bulk soil Synthesis. Divergent interplay between plant functional groups and rhizosphere soils was the prominent driver for biomass regrowth responding to soil acidification., Strategic Priority Research Program of the Chinese Academy of Sciences, Award: XDA23080400. National Natural Science Foundation of China, Award: 32071563. National Natural Science Foundation of China, Award: 31870441. National Natural Science Foundation of China, Award: 32101320., Peer reviewed

[Methods used for collection/generation of data] Standardized behavioral tests were continuously recorded by a camera attached to each arena controlled by a Raspberry Pi 3 system. All the behavioral tests were analyzed using a trained deep learning algorithm., [Methods for processing the data] Deep learning algorithm and R-Studio., The tests started with wild individuals on March 11th, 2019 and ended on April 23rd, 2019. Reared individuals were tested starting on July 19th, 2019 and ending on August 22nd, 2019., Project funded by the research project FISHOBES (grant no. CTM2017-91490-EXP) funded by the Spanish Ministry of Science and Innovation (MICINN). Marco Signaroli was supported by a “Ayudas para contratos predoctorales” (grant no. PRE2020-095580) funded by MCIN/AEI /10.13039/501100011033 and the FSE “invierte en tu futuro”. Aina Pons was supported by an FPI predoctoral fellowship (ref. FPI/2269/2019) from the Balearic Islands Government General Direction of Innovation and Research. Josep Alós received funding from the CLOCKS I+D+I project (grant no. PID2019-104940GA-I00) and the JSATS PIE project (grant no. PIE202030E002) funded by MCIN/AEI/10.13039/501100011033 and the FSE “invierte en tu futuro”., Peer reviewed

The database and its accompanying files are as follows: GEoREST_database_Readme (.txt): provides an overview of the database goals and content, sharing/accessing information and methodologies used to develop the database. GEoREST_induced_seismicity_database_v20.11.2022 (.xlsx): database in a single Microsoft Excel spreadsheet. GEoREST_induced_seismicity_database_v20.11.2022 (.csv): database in ‎.csv format, considered as a standard machine-readable format for direct implementation of data in model developments. GEoREST_database_bibliography_v20.11.2022 (.docx): provides the full list of references used to collect data included in the database. GEoREST_database_dictionary_v20.11.2022 (.docx): presents unified, self-explanatory acronyms together with concise definitions for all variables included in the database., We present a comprehensive, publicly accessible database of injection-induced seismicity. The database is sourced from a comprehensive review of more than 500 published documents and contains information for 158 cases of induced earthquakes from around the world. The collected earthquakes are associated with a variety of geoenergy applications, which can be broadly categorized into geologic gas storage, geothermal energy development, shale gas fracturing, research projects and wastewater disposal. The compilation comprises more than 70 variables, including general project information, host rock properties, ‎in situ site characteristics, fault attributes, operational parameters, and recorded seismicity data (both overall seismic activities and the largest event sequence). The developed database opens up opportunities for improved understanding of the causative mechanisms of injection-induced seismicity and advancing on seismic hazard forecasting and mitigation., This research is funded by (1) the European Research Council (ERC) under ‎the ‎‎European Union’s Horizon ‎‎2020 Research and Innovation Program through the ‎Starting Grant ‎‎GEoREST (www.georest.eu) under Grant ‎agreement No. 801809, (2) MCIN/AEI/‎‎10.13039/501100011033 and the ‎European ‎Union ‎NextGenerationEU/PRTR through the international collaboration project EASYGEOCARBON ‎‎‎‎(www.easygeocarbon.com) under Grant ‎agreement No. PCI2021-122077-2B, (3) the European Union’s Horizon 2020 Research and Innovation ‎Programme through the Marie Sklodowska-Curie Action ARMISTICE (www.armistice-energy.eu) under grant â €Žagreement No. 882733. (4) the Secretariat for Universities and ‎Research of the Ministry of Business and Knowledge of the Government of Catalonia (AGAUR) and the European ‎Social Fund (FI-2019), (5) MCIN/AEI/ ‎‎10.13039/501100011033‎ through the Excellence Servero Ochoa (IDAEA-CSIC) under Grant agreement No. ‎CEX2018-000794-S, Peer reviewed

[ES] PACIS es un panel para realizar encuestas cuyo titular es el IESA-CSIC, un centro público de investigación científica perteneciente al Consejo Superior de Investigaciones Científicas. La información obtenida tanto en el momento de la inscripción como en los sucesivos cuestionarios que respondan sus integrantes está protegida por la Ley 12/89 que regula el secreto estadístico para las administraciones públicas, no pudiéndose tratar ni difundir más que de forma numérica y agregada, para garantizar el anonimato de los entrevistados. Las personas inscritas en PACIS se incluyen en un fichero automatizado que comprende los datos de contacto y variables de clasificación básicas, cuya finalidad es la realización de encuestas de opinión de carácter científico. Este fichero, que es propiedad del IESA-CSIC, no se comparte en ningún caso con terceros, y el IESA-CSIC aplica las medidas adecuadas de seguridad para cumplir con la Ley Orgánica 3/2018, de 5 de diciembre, de Protección de Datos Personales y garantía de los derechos digitales. Toda persona inscrita en PACIS puede ejercitar sus derechos de acceso, rectificación, cancelación y oposición dirigiéndose por email a agpd@pacis.es En las encuestas realizadas se recoge sólo la información personal necesaria para garantizar la calidad de la investigación. Finalizada la recogida de datos, se realiza un proceso de anonimización de la matriz de resultados desvinculándose los datos de personas inscritas en el fichero PACIS de sus respuestas a los cuestionarios. Los cuestionarios se ajustan a los distintos estándares de calidad específicos en la investigación mediante encuestas como UNE ISO-20252, ICC/ESOMAR, y específicos de Accesibilidad y Usabilidad en formatos digitales como UNE 139803 y WCAG 1.0. UNIVERSO: Personas con 18 años o más residentes en Andalucía. MARCO: Panel ciudadano PACIS. TAMAÑO DE LA MUESTRA: 774 entrevistas. TOMA DE DATOS: La muestra ha sido seleccionada entre las personas pertenecientes al PACIS. Se ha contactado por correo electrónico, mediante SMS y por teléfono y han rellenado el cuestionario por Internet (en una página web) o mediante entrevista telefónica. Algunos integrantes han sido contactados por varios canales. Para conseguir la muestra de 774 entrevistas se seleccionaron 1.600 personas integrantes del PACIS. TIPO DE MUESTREO: Selección estratificada por grupos de edad y sexo de los integrantes del PACIS, siendo los estratos proporcionales a la población andaluza mayor de 18 años. TIEMPO MEDIO DE LA ENTREVISTA: 23 minutos. ERROR MUESTRAL MÁXIMO: +/- 3,5%, [EN] PACIS is a survey panel. The owner of this panel is IESA-CSIC, a public scientific research center belonging to the Spanish National Research Council. The information obtained both at the time of registration and in the successive questionnaires answered by its members is protected by Law 12/89, which regulates statistical secret for public administrations, and can only be processed and disseminated in numerical and aggregate form, in order to guarantee the anonymity of the interviewees. The persons registered in PACIS are included in an automated file comprising contact data and basic classification variables, the purpose of which is to carry out scientific opinion surveys. This file, which is owned by IESA-CSIC, is not shared in any case with third parties, and IESA-CSIC applies appropriate security measures to comply with the Organic Law 3/2018, of December 5, on Personal Data Protection and guarantee of digital rights. Any person registered in PACIS can exercise their rights of access, rectification, cancellation and opposition by sending an email to agpd@pacis.es. In the surveys carried out, only the personal information necessary to guarantee the quality of the research is collected. Once the data collection has been completed, the results matrix is anonymized and the data of the persons registered in the PACIS file is unlinked to their answers to the questionnaires. The questionnaires comply with the different specific quality standards in survey research such as UNE ISO-20252, ICC/ESOMAR, and specific Accessibility and Usability standards in digital formats such as UNE 139803 and WCAG 1.0. UNIVERSE: People aged 18 years or older living in Andalusia. FRAMEWORK: PACIS citizen panel. SAMPLE SIZE: 774 interviews. DATA COLLECTION: The sample has been selected among people belonging to PACIS. They have been contacted by e-mail, by SMS and by telephone and have filled in the questionnaire by Internet (on a web page) or by telephone interview. Some members were contacted through several channels. To achieve the sample of 774 interviews, 1,600 PACIS members were selected. SAMPLE TYPE: Stratified selection by age and sex of PACIS members, with the strata being proportional to the Andalusian population over 18 years of age. AVERAGE INTERVIEW TIME: 23 minutes. MAXIMUM SAMPLING ERROR: +/- 3.5%., [ES] La encuesta CARE se realizó en Andalucía en febrero de 2018 en el marco de un proyecto de investigación más amplio sobre la toma de decisiones en el cuidado de las personas mayores del Instituto de Estudios Sociales Avanzados del Consejo Superior de Investigaciones Científicas (IESA-CSIC). La encuesta (N=744) aporta información sobre las múltiples percepciones y disposiciones de la población autóctona respecto a la toma de decisiones en el cuidado de las personas mayores, así como una amplia gama de factores explicativos. La recogida de datos se realizó principalmente mediante cuestionarios web autoadministrados, que se complementaron con entrevistas telefónicas para cubrir perfiles sociodemográficos menos proclives al uso de Internet., [EN] The CARE survey was conducted in Andalusia in February of 2018 in the framework of a broader research project on decision making in the care of the older people run by the Spanish Research Council’s Institute for Advanced Social Studies (IESA-CSIC). The survey (N=744) provides information on the multiple perceptions and dispositions of the native population regarding decision-making in the care of the older people, as well as a wide range of explanatory factors. Data were collected mainly by means of self-administered web questionnaires, which were complemented by telephone interviews to cover sociodemographic profiles less inclined to use the Internet., EP-1801 Ola 6ª Panel ciudadano para la investigación social en Andalucía, autofinanciado por el IESA/CSIC en el marco del programa de proyectos INTRAMURALES (ref. 201710E018)., CARE_Data file.csvCARE_Data file.savCARE_Codebook_EN.pdfCARE_Codebook_SP.pdfCARE_Readme_EN.pdfCARE_Readme_SP.pdf, Peer reviewed

The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by researchers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters. Each file name is unique and contains information of the parameters under which the photograph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 1.945 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Rea_Rio_C_Bor_175_nd_nd_fr10_nd_nd_ar2 corresponds to an almost real image (Rea), taken in La Rioja (Rio), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at none defined time (nd) and undefined lighting (nd), with a real back-ground (fr10) and without reference (nd) nor distance (nd) considerations, and upper angle (ar2)., Peer reviewed

The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Each file name is unique and contains information of the parameters under which the photo-graph was taken., This study was supported by MCIN (Ministerio de Ciencia e Innovación)/AEI (Agencia Estatal de Investigación)/10 .13039 /501100011033through the projects PID2019-108851RB-C21 & PID2019-108851RB-C22. The authors would like to thank CSIC Interdisciplinary Thematic Platform (PTI+) Digital Science and Innovation., The DATASET compiles 229 files corresponding to individual images of glasses containing red wine. Each file name is unique and contains information of the parameters under which the photograph was taken (see DATA-SPECIFIC INFOR-MATION for details). For example: The file Vol_Mad_C_Bor_175_Cena_nd_nd_nd_nd_nd corresponds to a real image taken by a consumer(#Vol), taken in Madrid (Mad), of a “crianza wine”(C), in a Bourgogne wine glass (Bor), with a volume of 175 mL (175), taken at dinner (Cena) with undefined lighting (nd) and a random real background (nd), and without reference (nd) nor distance (nd), nor angle (nd) considerations., Peer reviewed

Herein we show that dispersing inorganic Cesium Lead Bromide (CsPbBr3) perovskite quantum dots (QDs) in optical quality films, possessing an accessible and controlled pore size distribution, gives rise to fluorescent materials with a controlled and highly sensitive response to ambient changes. A scaffold based synthetic approach is employed to attain ligand-free QDs, whose pristine surface endows them with high sensitivity to the presence of different vapors in their vicinity. At the same time, the void network of the host offers a means to gradually expose the embedded QDs to such vapors. Under these conditions, the luminescent response of the QDs is mediated by the mesostructure of the matrix, which determines the rate at which vapor molecules will adsorb onto the pore walls and, eventually, condensate, filling the void space. With luminescence quantum yields as high as 60%, scaffold supported ligand-free perovskite nanocrystals display intense photoemission signals over the whole process, as well as high photo and chemical stability, which allows illuminating them for long periods of time and recovering the original response upon desorption of the condensed phase. The results herein presented open a new route to explore the application of perovskite QDs based materials in sensing., Financial support of the Spanish Ministry of Science and Innovation under grant PID2020-116593RB-I00, funded by MCIN/AEI/10.13039/501100011033, and of the Junta de Andalucía under grant P18-RT-2291 (FEDER/UE) is gratefully acknowledged. L.C. thanks Junta de Andalucía and the European Regional Development Funds program (EU-FEDER) for financial support under a talent attraction program (DOC_00220). Also, N.F.D. acknowledges co-funding by European Social Fund and Junta de Andalucía for PAIDI2020 (DOC_01244)., Peer reviewed

The code contains a MATLAB m.file, named “GridBasedPorosityReconstruction.m”, to reconstruct a 3D grid-based porosity map for centimeter-scale rock cores. The code reads binarized cross-section CT images collected along the core length (examples from a limestone core (Fig. 1) are provided in the accompanying file “IMG.zip”) as well as the number and size of grid blocks for domain discretization as inputs. The code first correlates the pixel domain with the arbitrarily-sized grid blocks in each image and then calculates the porosity for all cells. It enables shifting the average rock porosity by a certain value (e.g. the difference between average CT and effective rock porosities) by randomly distributing pores on different CT images. An explicit permeability-porosity relationship is used to build a grid-based permeability map from that of porosity across the core. The code plots 2D and 3D distribution maps of rock porosity and exports the derived data in Excel files. The data can be used in reactive transport modeling (e.g. CrunchFlow code (Steefel et al., 2015; Comput. Geosci. 19, 445–478)). Detailed explanations of the performed calculations are provided as stepwise comments in the m.file to allow the user to set modifications so as to obtain, for example, the distribution maps of any other rock characteristics (e.g., elastic, thermal, and electromagnetic constants) related to porosity., Peer reviewed

Plant metabolic pathways and gene networks involved in the response to herbivory are well-established, but the impact of epigenetic factors as modulators of those responses is less understood. Here, we studied the role of DNA cytosine methylation on phenotypic responses after short-term herbivory in Thlaspi arvense plants with two contrasting flowering phenotypes. We investigated the effect of experimental demethylation and herbivory treatments following a 2x3 factorial design. First, half the seeds were submerged in a water solution of the demethylating agent 5-azacytidine and the other half only in water, as controls. Then, we assigned control and demethylated plants to three herbivory categories (i) insect herbivory, (ii) artificial herbivory, and (iii) undamaged plants. The effects of the demethylation and herbivory treatments were assessed by quantifying genome-wide global DNA cytosine methylation, concentration of leaf glucosinolates, final stem biomass, fruit and seed production, and seed size. For most of the plant traits analysed, individuals from the two plant-types responded differently. In late-flowering plants, global DNA methylation did not differ between control and demethylated plants but it was significantly reduced by herbivory. Conversely, in early-flowering plants, demethylation at seed stage was still evident in leaf genomes of reproductive individuals whereas herbivory did not affect their global DNA methylation., Peer reviewed

We have compiled a comprehensive dataset of field observations of iodine speciation and size distribution in marine aerosol (1983-2018). Since the source of iodine is mainly marine, only ship-borne campaigns (16 cruises) and coastal or insular campaigns (12 ground-based stations) have been considered. Iodine speciation measurements are heterogeneous and do not always cover the same species or group of species. The data can be classified in five groups according to the iodine species reported and their size segregation in fine and coarse aerosol: (1) total iodine (TI) and total soluble iodine (TSI) in bulk aerosol, (2) TI size distribution, (3) TSI and soluble speciation size distribution, (4) soluble speciation in fine aerosol fraction only and (5) soluble speciation in bulk aerosol only. Soluble speciation consist of iodide (I-), iodate (IO3-) and soluble organic iodine (SOI). For some of the cruises where the size distribution of soluble iodine species was reported (7 cruises) there are also measurements of major ions (MI) available. MI observations include Na+, NH4+, Mg2+, Ca2+, K+, Cl-, NO3-, SO42-, oxalate (C2O4-2), Br- and methanesulfonate (CH3SO3-), and derived quantities such as non-sea-salt (nss) K+, Ca2+ and SO42-. The associated paper discusses some aspects of data treatment and questions related to analytical methods employed to determine iodine speciation., Financial Support: J. C. G. M. acknowledges financial support from the State Agency for Research of the Spanish MCIU through the "Center of Excellence Severo Ochoa" award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709) and the Ramon y Cajal Program (RYC-2016-19570). A.S.-L. acknowledges financial support from the European Research Council Executive Agency under the European Union's Horizon 2020 Research and Innovation programme (Project 'ERC-2016-COG 726349 CLIMAHAL')., Peer reviewed