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Experimental data of copper leaching kinetics from non-pulverized printed circuit boards are compiled. They consist of the leached copper values as a function of time for the different tests performed. The copper concentrations were measured by atomic absorption spectrophotometry. Moreover, scanning electron microscope photomicrographs and energy dispersive X-ray spectroscopy data of a PCB sample has been included.

Registro de 24 caracteres (12 cuantitativos y 12 cualitativos), considerados de interés en la literatura taxonómica para la discriminación de Lactuca livida y L. virosa. El estado de los caracteres se registró en 164 pliegos, 1-Lactuca.livida_Morphometrics.xls, 2-Lactuca.livida_variability_florets.xls, 3-Lactuca-livida_mantle_lobation.txt, 4-Lactuca.livida_mantle_florets.txt, 5-Lactuca.livida_OnlineSupplement.word, v.1

En este documento se presenta la herramienta metodológica empleada en el contexto del proyecto I+D "Atención a la diversidad y educación inclusiva en la Universidad. Diagnóstico y evaluación de indicadores de institucionalización” (referencia EDU2017-82862-R, 2018-2022) para realizar un análisis documental de las políticas universitarias en su abordaje de la inclusión educativa y la diversidad. Se describen, en primer lugar, los procedimientos de selección, en segundo lugar, los criterios de organización documental y, en tercer lugar, la estructura de categorías empleadas.

There is vast amount of research that links implicit theories of intelligence with several learning-relevant variables in both learners and teachers alike. However, there is a gap in the literature, as there is almost no research done with university teachers. Furthermore, most scientific research polarizes incremental and fixed views of intelligence in spite of data that show there is heterogeneity in participants’ views. This study explores the implicit theories of intelligence of university teachers. The sample comprised 20 university teachers (10 men and 10 women) from the University of Seville. Four participants were selected from each field of knowledge, according to the category system in place at the university in question, namely: Arts and Humanities (A&H), Sciences (S), Health Sciences (HS), Social and Legal Sciences (S&LS), and Engineering and Architecture (E&A). Also, the selection process ensured that half the participants had less than 15 years' teaching experience at the university and the other half more than 15 years' experience. A semi-structured interview called "Views on Intelligence within the Educational Field" was designed. Participants were asked to express their opinión about several small vignettes regarding intelligence. The instrument comprises short cases or vignettes, highlighting different dimensions of intelligence. We identified 12 relevant dimensions in which a view on intelligence could be expressed and contextualized. They were: Control, Heredity, Effort, Culture, Training, Critical Period, Context, Expectations, Associated Qualities, People, Gender, and Diversity of Intelligence. Data from interviews were analysed employing a category system designed to capture heterogeneity. The utterances were segmented and analyzed using a coding manual. From the units of meaning extracted from the participant’s responses, we constructed 116 different categories related to intelligence. These categories were later organized into 18 different topics, as several themes arose from the interviews. These topics were: Effort, Genetic Influence, Development in Non-Specific Terms, Global Environment, Formal Education, Culture, Activities, Teacher Influence, Parental Influence, Developmental Characteristics, Motivational and Emotional Influence, Others’ Expectations Influence, Own Expectations Influence, Other Personal Characteristics Influence, Characteristics Associated to Intelligent People, Gender, Presence of Intelligence in Activities Outside Academic Fields, and Social and Emotional Intelligence. Finally, an upper-level hierarchical categorization was developed, where different categories were put together taking into account different criteria in order to obtain global results. These categories are Global Influences of Change (all categories that relate to modifiability of the intelligence), Specific Influences of Change (all categories that expresses the relation of something specific on intelligence), Non-Specific Influences of Change (all categories that expresses that intelligence can or cannot be modified, but not telling how), Individual Influences of Change (all categories related to the individual’s actions and characteristics linked to intelligence malleability), Environmental Influences of Change (all categories related to the environment that may or may not affect the development of intelligence), and Total Genetic Influence (all categories related to genetic influence)., - Base de Datos Concepciones de Inteligencia - Manual de Codificación Concepciones de Inteligencia, v.1

Formato csv, Datos de la encuesta sobre victimización verbal homofóbica y bullying realizada en Andalucía durante el curso académico 2017-18, Datos, anonimizados, de la encuesta realizada a jóvenes entre 11 y 18 años de Andalucía, durante el año 2017. Los datos incluyen: variables sociodemográficas, subescala de victimización de bullying de la versión española del European Bullying Intervention Project Questionnaire (EBIPQ; Ortega-Ruiz et al., 2016); ítems de victimización verbal homofóbica; Cyberbullying Victimization Emotional Impact Scale (CVEIS; Elipe et al., 2017); ítems sobre orientación sexual y variables resumen de las escalas previas. Datos asociados al siguiente artículo: Elipe, P., Espelage, D.L. & Del Rey, R. (2021). Homophobic Verbal and Bullying Victimization: Overlap and Emotional Impact. Sexuality Research and Social Policy. https://doi.org/10.1007/s13178-021-00613-7

The dataset includes the raw data from the clinical score and flow cytometry analyzes carried out in the work titled " Melatonin synergistically potentiates the effect of methylprednisolone on reducing neuroinflammation in the experimental autoimmune encephalomyelitis mouse model of multiple sclerosis". This study shows the protective synergistic effect of co-treatment with melatonin and methylprednisolone on reducing the severity of EAE by decreasing CD4+ lymphocytes, B cells, macrophages and dendritic cells in the CNS, as well as modulating the population of infiltrated T and B cells toward regulatory phenotypes to the detriment of pro-inflammatory effector functions. In addition, treatment with melatonin from the clinical onset of EAE improves the natural course of the EAE and the response to a subsequent treatment with methylprednisolone in a later relapse of the disease. Eight-week-old female C57BL/6N mice were immunized immunization with 100 μg of MOG35–55 (Cambridge Research Biochemicals, Cleveland) emulsified in CFA (Sigma) containing 50 μg of heat-killed Mycobacterium tuberculosis (H37Ra, ATCC 25177) by subcutaneous injection in both hind legs and two doses of intraperitoneal pertussis toxin (200 ng/day) (List Labs, California) on days 0 and 2 post-induction. Animals were randomly divided to receive melatonin at a concentration of 80 mg/kg and/or methylprednisolone at a concentration of 40 or 160 mg/kg in different treatment regimens. Mice were sacrificed at the peak of the disease (day 15 after induction) and after perfusion, the CNS was collected, homogenized and enzymatically dissociated with 1.87 mg/ml of collagenase IV (Worthington) and 0.25 mg/ml of DNase I (AppliChem) for 35 min at 37°C to obtain a suspension of single cells. Subsequently, a 37%:70% discontinous percoll gradient was carried out to isolate CNS-infiltrating mononuclear cells. To assess the profile of infiltrated immune cells in the CNS, cells were stained for the following antibodies against surface markers: CD45, CD4, CD8α, CD19, CD11b, CD11c, CD44, CD62L, B220, CD138, PD-1 (CD279), CTLA-4 (CD152), FAS (CD95), and CD25. To identify Treg and analyze intracellular production of TNF, IFN-γ and IL-10, after surface staining, cells were fixed and permeabilized using the The dataset includes the raw data from the clinical score and flow cytometry analyzes carried out in the work titled " Melatonin synergistically potentiates the effect of methylprednisolone on reducing neuroinflammation in the experimental autoimmune encephalomyelitis mouse model of multiple sclerosis". This study shows the protective synergistic effect of co-treatment with melatonin and methylprednisolone on reducing the severity of EAE by decreasing CD4+ lymphocytes, B cells, macrophages and dendritic cells in the CNS, as well as modulating the population of infiltrated T and B cells toward regulatory phenotypes to the detriment of pro-inflammatory effector functions. In addition, treatment with melatonin from the clinical onset of EAE improves the natural course of the EAE and the response to a subsequent treatment with methylprednisolone in a later relapse of the disease. Eight-week-old female C57BL/6N mice were immunized immunization with 100 μg of MOG35–55 (Cambridge Research Biochemicals, Cleveland) emulsified in CFA (Sigma) containing 50 μg of heat-killed Mycobacterium tuberculosis (H37Ra, ATCC 25177) by subcutaneous injection in both hind legs and two doses of intraperitoneal pertussis toxin (200 ng/day) (List Labs, California) on days 0 and 2 post-induction. Animals were randomly divided to receive melatonin at a concentration of 80 mg/kg and/or methylprednisolone at a concentration of 40 or 160 mg/kg in different treatment regimens. Mice were sacrificed at the peak of the disease (day 15 after induction) and after perfusion, the CNS was collected, homogenized and enzymatically dissociated with 1.87 mg/ml of collagenase IV (Worthington) and 0.25 mg/ml of DNase I (AppliChem) for 35 min at 37°C to obtain a suspension of single cells. Subsequently, a 37%:70% discontinous percoll gradient was carried out to isolate CNS-infiltrating mononuclear cells. To assess the profile of infiltrated immune cells in the CNS, cells were stained for the following antibodies against surface markers: CD45, CD4, CD8α, CD19, CD11b, CD11c, CD44, CD62L, B220, CD138, PD-1 (CD279), CTLA-4 (CD152), FAS (CD95), and CD25. To identify Treg and analyze intracellular production of TNF, IFN-γ and IL-10, after surface staining, cells were fixed and permeabilized using the, The data set titled “Mel+MPD co-therapy.xlsx” includes numerical data from flow cytometry analysis (first sheet) and clinical score analysis (second sheet). A legend is also incorporated into the third sheet detailing the different experimental groups of the study., v.1

Here, experimental data for the different stages of a bioprocess for obtaining copper from printed circuit boards are compiled. Chemical analysis data to determine the chemical composition of samples and residues. Conditions and results of batch and continuous leaching, solvent extraction, biooxidation and electrowinning tests are included., One Microsoft Excel file with 6 sheets called: Composition, Batch, CSTR, Bio-oxidation, SX and EW.

El dasaset incluye los datos brutos de los experimentos western blot y ELISA realizados en el trabajo titulado "Anti-VEGF Effect of Bioactive Indolic Compounds and Hydroxytyrosol Metabolites". También se incluyen las medias y las desviaciones estándar., Datos numéricos

A three-step (rotor-stator-microfluidization-rotor stator) protocol was used to prepare 15% lemon essential oil in water emulgels using a mixture of Tween 80 and Span 20 surfactants as low molecular mass emulsifiers and 0.4% low-methoxyl citrus peel pectin as a gelling agent. Ca2+ was used as a gel-promoting agent. Different CaCl2/pectin mass ratio values from 0.3 to 0.7 were used. Emulgels showed a microstructure consisting of oil droplets embedded in a sheared gel matrix, as demonstrated by bright field optical microscopy. Laser diffraction tests showed multimodal particle size distributions due to the coexistence of oil droplets and gel-like particles. Multiple light scattering tests revealed that the physical stability of emulgels was longer as the CaCl2/pectin mass ratio decreased and that different destabilization mechanisms took place. Thus, incipient syneresis became more important with increasing CaCl2 concentration, but a parallel creaming mechanism was detected for CaCl2/pectin mass ratio values above 0.5. Dynamic viscoelastic and steady shear flow properties of the emulgels with the lowest and highest CaCl2/pectin mass ratio values were compared as a function of aging time. The lowest ratio yielded an emulgel with enhanced connectivity among fluid units as indicated by its wider linear viscoelastic region, higher storage modulus, loss modulus and viscosity values, and more shear thinning properties than those of the emulgel formulated with the highest CaCl2/pectin mass ratio. The evolution of the dynamic viscoelastic properties with aging time was consistent with the information provided by monitoring scans of backscattering as a function of sample height