BUSCADOR RECOLECTA

Figure S1: Cell viability of RAW264.7 and CCD-18Co cells by MTT assay. EC (Clemenule extract), EO (Ortanique extract), and controls were tested. Negative control (C−) consisted of medium without FBS, positive control (DMSO) consisted of DMSO 50% in medium without FBS, and ascorbic acid (Asc) in a concentration of 10 µg/mL. Bars and error bars represent the mean values and standard deviation, respectively. Different letters state significant differences by Tukey test (p < 0.05). All determinations were performed in triplicate in three different cell passages., Peer reviewed

Details on the parametrization of zero-field splitting parameters and construction of spin Hamiltonian matrices, relevant plots of the time evolution of spin character, molecular coordinates, molecular orbitals, spin densities., Peer reviewed

[Description of methods used for collection/generation of data] The corpus statistics and methods are explained in the following article: Federico Ortega-Riba, Leonardo Campillos-Llanos, Doaa Samy (2025) "Lexical Simplification in Spanish Texts For Patients: The Complex Word Identification Task". (Under review). [Methods for processing the data] Manual annotation of complex words (CW) according to the criteria defined in the guideline explained in the companion article., The corpus is made up of 225 texts in Spanish annotated with complex words (CW). It contains three text types: consent forms (75 texts), clinical trial announcements (75 texts) and patient information documents (75 texts). This resource is aimed at training models, evaluating and performing experiments on complex word identification of Spanish medical texts., This dataset was collected in the CLARA-MeD project (PID2020-116001RA-C33), with funding from the Spanish government by MICIU/AEI/10.13039/501100011033/, in project call: “Proyectos I+D+i Retos Investigación”., The corpus is made up of 225 texts. It is aimed at training models, evaluating and performing experiments on complex word identification of Spanish medical texts. The corpus contains three text types: • Consent forms (75 texts) • Clinical trial announcements (75 texts) • Patient information leaflets (75 texts) - ANN: Contains BRAT annotated files (.ann) and corresponding text files (.txt): These are separated in three folders and subfolders (corresponding to each text type): • TRAIN: ▫ ci: 51 consent forms ('consentimientos informados') ▫ eudract: 51 clinical trial announcements from REEC and EudraCT ▫ info: 51 patient-oriented information leaflets • DEV: ▫ ci: 9 consent forms FALTA UNO ▫ eudract: 9 clinical trial announcements ▫ info: 9 patient-oriented information leaflets • TEST: ▫ ci: 15 consent forms ▫ eudract: 15 clinical trial announcements ▫ info: 15 patient-oriented information leaflets - JSON files for transformer models: These are separated in TRAIN, DEV and TEST. - CSV files with the processed data, corresponding to TRAIN, DEV and TEST data. These were used for the machine learning experiments. Each file has the following fields: • Token • Label: it encodes the class (CW, 'complex word') and if the token is the Beginning of the entity (B), if it is Inside (I) or Outside (O)., Peer reviewed

Peer reviewed

[EN] This dataset compiles the results of a literature review and analysis that enabled the development of an indicator framework for the characterization of urban systems from a socio-ecological and urban perspective. It is part of the project FOODTRANSITIONS - Transitions towards Global Sustainability and Food Security: Assembling Sustainable and Just Cities TED2021-129660A-I00, funded by the MCIN/AEI/10.13039/501100011033 y and the European Union under “NextGenerationEU”/PRTR. It contains 38 documents analyzed, identified through Boolean searches on Scopus and grey literature complemented by the professional experience of the authors. The selected indicators were organised and prioritised based on their frequency and relevance, allowing their subsequent validation through a Delphi process. The files include the list of reviewed documents, the analysis results in Atlas.ti, and the first iteration of the indicator framework., [ES] Este conjunto de datos recopila los resultados de una revisión bibliográfica y análisis que permitieron desarrollar un marco de indicadores para la caracterización de sistemas urbanos desde una perspectiva socio-ecológica y urbana. Es parte del proyecto de investigación "FOODTRANSITIONS - Transiciones hacia la Sostenibilidad y Seguridad alimentarias Globales: Ensamblando ciudades sostenibles y justas" con código TED2021-129660A-I00, financiado por la Agencia Estatal de Investigación con número de referencia MCIN/AEI/10.13039/501100011033 y por la Unión Europea bajo el programa “NextGenerationEU”/PRTR. Contiene 38 documentos analizados, identificados a través de búsquedas Booleanas en Scopus y literatura gris complementada con la experiencia profesional de lxs autorxs. Los indicadores seleccionados fueron organizados y priorizados en base a su frecuencia y relevancia, permitiendo su validación posterior mediante un proceso Delphi. Los archivos incluyen la lista de documentos revisados, los resultados del análisis en Atlas.ti y la primera iteración del marco de indicadores., "NextGenerationEU"/PRTR, Peer reviewed

Annotation data for the reference genome assembly of the Emirai Leaf-toed Gecko (Asaccus caudivolvulus, specimen code S7866). The genome assembly and the raw data including long read Oxford Nanopore sequencing (sequenced through Org.One project), short read Illumina sequencing and OmniC data can be accessed in NCBI under bioproject code PRJNA1043593. The data provided herein is associated to Biosample SAMN39327732., Ministerio de Ciencia, Innovación y Universidades PRE2019-088729; “la Caixa” doctoral fellowship programme LCF/BQ/DR20/11790007, Departament de Recerca i Universitats de la Generalitat de Catalunya 2021 SGR 00420; Field Study for the Conservation of Reptiles in Oman, Ministry of Environment and Climate Affairs, Oman 22412027; Ministerio de Ciencia, Innovación y Universidades FPU18/04742; PGC2018-098290-B-I00 (MCIU/AEI/FEDER, UE), PID2021-128901NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF, a way of making Europe PGC2018-098290-B-I00, Peer reviewed

Table S1: Viscosity values (mPas·s) of NaDES employed in this study with 25% and 50% of water measured at 25 °C and 40 °C. Table S2: Antioxidant capacity of PLE-Water and PLE-NaDES (Gly:Glu, 50% H2O) extract according to hydrolysis time determined by ORAC (IC50, µg/mL sample) analyses and TEAC (µmol trolox/g sample)., Peer reviewed

The following files are available free of charge. General experimental methods; Synthetic procedures and structural determination for 2a-d; Copies of HPLC chromatograms of racemic and enantioenriched 2a-d; Copies of 1H and 13C NMR spectra., Ministerio de Ciencia e Innovación; Eusko Jaurlaritza; Xunta de Galicia, Peer reviewed

The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products (products) or chiral catalysts (tools). The enantioselectivity is sensitive to many factors, from the nature of the nucleophile and the catalyst to the experimental conditions (solvent, temperature, etc.). Although computational chemistry has been used to rationalize experimental results, it is still difficult to understand the influence of different parameters (solvent, temperature, etc.) on the quantitative reaction outcome (as yield or regio- and stereoselectivities).Both experimental and computational (Quantum Chemistry) study of a large number of reactions may become costly in terms of resources and time. Thus, the development of fast-track public computational tools to predict the enantioselectivity [enantiomeric excess ee(%)obs] would be very useful. Furthermore, making the new tool available online could save time and experimental resources in many labs worldwide. We used an Heuristic Perturbation-Theory and Machine Learning (HPTML) algorithm to seek a predictive model with R2 = 0.91 in training and validation series has been developed. It involves a Monte Carlo sampling of>100,000 pairs of query and reference reactions. In addition, the computational and experimental investigation of a new set of intermolecular α-amidoalkylation reactions using BINOL-derived N-trifylphosphoramides as chiral catalysts is reported as a case of study. After validation of the model, it was implementedin a web server called MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization. This tool is available online at:https://cptmltool.rnasa-imedir.com/CPTMLTools-Web/mateo.This new user-friendly online computational tool may become useful to explore a large number of combinations of reactants, catalysts, and experimental conditions. This public tool would enable sustainable optimization of reaction conditions that could lead to the design of new catalysts, substrates, nucleophiles, and/or products., Ministry of Science and Innovation (PID2019-104148GB-I00); Basque Government / Eusko Jaurlaritza (IT1558-22), Peer reviewed

The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products (products) or chiral catalysts (tools). The enantioselectivity is sensitive to many factors, from the nature of the nucleophile and the catalyst to the experimental conditions (solvent, temperature, etc.). Although computational chemistry has been used to rationalize experimental results, it is still difficult to understand the influence of different parameters (solvent, temperature, etc.) on the quantitative reaction outcome (as yield or regio- and stereoselectivities).Both experimental and computational (Quantum Chemistry) study of a large number of reactions may become costly in terms of resources and time. Thus, the development of fast-track public computational tools to predict the enantioselectivity [enantiomeric excess ee(%)obs] would be very useful. Furthermore, making the new tool available online could save time and experimental resources in many labs worldwide. We used an Heuristic Perturbation-Theory and Machine Learning (HPTML) algorithm to seek a predictive model with R2 = 0.91 in training and validation series has been developed. It involves a Monte Carlo sampling of>100,000 pairs of query and reference reactions. In addition, the computational and experimental investigation of a new set of intermolecular α-amidoalkylation reactions using BINOL-derived N-trifylphosphoramides as chiral catalysts is reported as a case of study. After validation of the model, it was implementedin a web server called MATEO: InterMolecular Amidoalkylation Theoretical Enantioselectivity Optimization. This tool is available online at:https://cptmltool.rnasa-imedir.com/CPTMLTools-Web/mateo.This new user-friendly online computational tool may become useful to explore a large number of combinations of reactants, catalysts, and experimental conditions. This public tool would enable sustainable optimization of reaction conditions that could lead to the design of new catalysts, substrates, nucleophiles, and/or products., Peer reviewed