Resultados totales (Incluyendo duplicados): 35407
Encontrada(s) 3541 página(s)
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152718
Dataset. 2023

STUDY THE IMMUNOTOXIC EFFECT OF CYLINDROSPERMOPSIN [DATASET]

  • Casas Rodríguez, Antonio
  • Cebadero Domínguez, Óscar
  • Puerto Rodríguez, María
  • Cameán Fernández, Ana María
  • Jos Gallego, Ángeles Mencía
Cylindrospermopsin (CYN) is a cyanotoxin with an increasing occurrence, and therefore it is important to elucidate its toxicity profile. CYN has been classified as a cytotoxin, although the scientific literature has already revealed that it affects a wide range of organs and systems. However, research on its potential immunotoxicity is still limited. Thus, this study aimed to evaluate the impact of CYN on two human cell lines representative of the immune system: THP-1 (monocytes) and Jurkat (lymphocytes). CYN reduced cell viability, leading to mean effective concentrations (EC50 24 h) of 6.00± 1.04 µM and 5.20± 1.20 µM for THP-1 and Jurkat cells, respectively, and induced cell death mainly by apoptosis in both experimental models. Moreover, CYN decreased the differentiation of monocytes to macrophages after 48 h of exposure. In addition, an up-regulation of the mRNA expression of different cytokines, such as interleukin (IL) 2, IL-8, tumor necrosis factor-alpha (TNF-α) and interferon-gamma (INF-ɣ), was also observed mainly after 24 h exposure in both cell lines. However, only an increase in TNF-_ in THP-1 supernatants was observed by ELISA. Overall, these results suggest the immunomodulatory activity of CYN in vitro. Therefore, further research is required to evaluate the impact of CYN on the human immune system. Dataset contains the numerical values of the results obtained regarding cytotoxicity, differentiation, cell death mechanisms (apoptosis/necrosis), gene expression and interleukin leakage., Numerical data of the results of cytotoxicity, differentiation, cell death mechanisms (apoptosis/necrosis), gene expression and interleukin leakage

Proyecto: //
DOI: https://idus.us.es/handle//11441/152718
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152718
HANDLE: https://idus.us.es/handle//11441/152718
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152718
PMID: https://idus.us.es/handle//11441/152718
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152718
Ver en: https://idus.us.es/handle//11441/152718
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/152718

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154813
Dataset. 2024

DATOS_MORFOLÓGICOS_FLORA.IBERICA:_SONCHUS_Y_LACTUCA [DATASET]

MORPHOLOGICAL_DATA_FLORA.IBERICA: SONCHUS_&_LACTUCA [DATASET]

  • Mejías Gimeno, José Antonio
Datos de caracteres para el análisis morfométrico de especies de interés taxonómico de los géneros Lactuca y Sonchus en la Península Ibérica., 1.Flora_Iberica-Lactuca.perennis.xls; 2.Flora_Iberica-Lactuca.viminea.xls; 3.Flora_iberica-Localidades_Lactuca.viminea.doc; 4.Flora_Iberica-Sonchus.bulbosus.xls, v.1

Proyecto: //
DOI: https://idus.us.es/handle//11441/154813
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154813
HANDLE: https://idus.us.es/handle//11441/154813
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154813
PMID: https://idus.us.es/handle//11441/154813
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154813
Ver en: https://idus.us.es/handle//11441/154813
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154813

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161833
Dataset. 2024

ANTI-OBESOGENIC EFFECTS OF VEGETABLE-DERIVED PROTEIN HYDROLYSATE [DATASET]

EFECTOS ANTIOBESOGÉNICOS DE UN HIDROLIZADO PROTEICO VEGETAL [DATASET]

  • Ponce España, Eduardo
  • Cruz Chamorro, Ivan
  • Santos Sánchez Guillermo
  • Álvarez López, Ana Isabel
  • Fernández-Santos, José María
  • Pedroche, Justo
  • Millán Linares, María del Carmen
  • Bejarano Hernando, Ignacio
  • Lardone, Patricia Judith
  • Carrillo Vico, Antonio
Data was acquired for the study published in the article titled: Anti-obesogenic effect of lupin-derived protein hydrolysate through modulation of adiposopathy, insulin resistance and gut dysbiosis in a diet-induced obese mouse. This study examines the effects of a lupin protein hydrolysate (LPH) on obesity, adipose tissue dysfunction and gut dysbiosis in obese mice. LPH was characterized and protein concentration, ashes, moisture, fiber, fats, soluble sugars and phenol content were measured as described. Amino acid composition was determined using standard amino acid mix solution. The molecular weight profile was obtained by molecular exclusion chromatography. Eight-week-old male C57BL6/N mice were housed under standard conditions and mice were randomly assigned to three groups: mice fed a standard diet (SD), a high-fat diet (HFD) or an HFD and treated intragastrically with LPH (HFD+LPH) at a dose of 100mg/kg five days a week for 12 weeks. The SD and HFD groups were treated with vehicle under the same conditions as the HFD+LPH group. Food consumption and individual body weight were measured weekly. Animals were sacrificed with an intraperitoneal injection of sodium thiopental and blood was collected by cardiac puncture. Epidydimal adipose tissue (EpiWAT) was dissected, snap-frozen and stored at -80ºC until use or fixed in a 4% paraformaldehyde (PFA) solution. Stool was collected prior to euthanasia and stored at -80ºC. Serum biochemical profile was measured by chemoluminiscence in the Cobas Integra 400 (Roche Diagnostics, Indianapolis, IN, USA) at the Estación Biológica de Doñana (EBD-CSIC, Seville, Spain). Serum concentrations of leptin, adiponectin and insulin were quantified using enzyme-linked immunosorbent assays (ELISA) kits. Adipose tissue samples fixed in 4% PFA were dehydrated, embedded in paraffin blocks and sliced 4μm thick, stained with hematoxylin-eosin and cover mounted for posterior observation. Photomicrographs were obtained using Leica THUNDER microscope and Leica Application Suite X software. Adipocyte morphology and number of crown-like structures was blinded analyzed using ImageJ v1.53h public software. High throughput 16S rRNA gene amplicon analysis was performed using total DNA extracted from stool. 16S rRNA V3–V4 region was sequenced using MiSeq protocol and instruments. The raw sequences were processed using mothur., Dataset entitled “hydrolysate_composition.xlsx” includes macromolecular and aminoacidic composition (first sheet) and chromatogram information (second sheet) of LPH obtained from three independent measurements. Dataset entitled “obesity_markers.xlsx” includes experimental group and numerical data (columns) obtained from the measurement of parameters from animals (rows) used in the present study., v.1

Proyecto: //
DOI: https://idus.us.es/handle//11441/161833
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161833
HANDLE: https://idus.us.es/handle//11441/161833
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161833
PMID: https://idus.us.es/handle//11441/161833
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161833
Ver en: https://idus.us.es/handle//11441/161833
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161833

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/162526
Dataset. 2024

DATASET FOR THE ARTICLE MODELING COPPER LEACHING FROM NON-PULVERIZED PRINTED CIRCUIT BOARDS AT HIGH CONCENTRATIONS OF BIOREGENERATED FERRIC SULFATE

  • Ramírez del Amo, Pablo
  • Iglesias González, María Nieves
  • Dorado Castaño, Antonio D.
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.

Proyecto: //
DOI: https://idus.us.es/handle//11441/162526
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/162526
HANDLE: https://idus.us.es/handle//11441/162526
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/162526
PMID: https://idus.us.es/handle//11441/162526
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/162526
Ver en: https://idus.us.es/handle//11441/162526
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/162526

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154801
Dataset. 2024

ESTUDIO MORFOMÉTRICO DE LACTUCA LIVIDA [DATASET]

MORPHOMETRIC ANALYSIS OF LACTUCA LIVIDA [DATASET]

  • Palomino de la Rosa, Javier
  • Mejías Gimeno, José Antonio
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

Proyecto: //
DOI: https://idus.us.es/handle//11441/154801
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154801
HANDLE: https://idus.us.es/handle//11441/154801
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154801
PMID: https://idus.us.es/handle//11441/154801
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154801
Ver en: https://idus.us.es/handle//11441/154801
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/154801

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/116453
Dataset. 2021

HERRAMIENTA PARA EL ANÁLISIS DOCUMENTAL DE POLÍTICAS PARA LA INCLUSIÓN Y LA ATENCIÓN EDUCATIVA EN LAS UNIVERSIDADES

  • Jiménez Rodrigo, María Luisa
  • Márquez Lepe, Esther
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.

Proyecto: //
DOI: https://idus.us.es/handle//11441/116453
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/116453
HANDLE: https://idus.us.es/handle//11441/116453
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/116453
PMID: https://idus.us.es/handle//11441/116453
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/116453
Ver en: https://idus.us.es/handle//11441/116453
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/116453

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153976
Dataset. 2024

DATASET EINSTEIN WORKED HIS SOCKS OFF CONCEPTIONS OF INTELLIGENCE

  • Matías García, José Antonio
  • Cubero Pérez, Rosario
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

Proyecto: //
DOI: https://idus.us.es/handle//11441/153976
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153976
HANDLE: https://idus.us.es/handle//11441/153976
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153976
PMID: https://idus.us.es/handle//11441/153976
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153976
Ver en: https://idus.us.es/handle//11441/153976
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/153976

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/126848
Dataset. 2021

EXPLORATORY SURVEY (2017) ON HOMOPHOBIC VERBAL AND BULLYING VICTIMIZATION: DATASET

EXPLORATORY SURVEY (2017) ON HOMOPHOBIC VERBAL AND BULLYING VICTIMIZATION: DATASET

  • Rey Alamillo, Rosario del
  • Elipe Muñoz, Paz
  • Espelage, Dorothy L.
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

Proyecto: //
DOI: https://idus.us.es/handle//11441/126848
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/126848
HANDLE: https://idus.us.es/handle//11441/126848
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/126848
PMID: https://idus.us.es/handle//11441/126848
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/126848
Ver en: https://idus.us.es/handle//11441/126848
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/126848

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161856
Dataset. 2024

EVALUATION OF CO-THERAPY WITH MELATONIN AND METHYLPREDNISOLONE IN EXPERIMENTAL AUTOIMMUNE ENCEPHALOMYELITIS (EAE) [DATASET]

EVALUACIÓN DE LA CO-TERAPIA CON MELATONINA Y METILPREDNISOLONA EN LA ENCEFALOMIELITIS AUTOINMUNE EXPERIMENTAL (EAE) [DATASET]

  • Álvarez López, Ana Isabel
  • Álvarez Sánchez, Nuria
  • Cruz Chamorro, Iván
  • Santos Sánchez, Guillermo
  • Ponce España, Eduardo
  • Bejarano, Ignacio
  • Lardone, Patricia Judith
  • Carrillo Vico, Antonio
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

Proyecto: //
DOI: https://idus.us.es/handle//11441/161856
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161856
HANDLE: https://idus.us.es/handle//11441/161856
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161856
PMID: https://idus.us.es/handle//11441/161856
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161856
Ver en: https://idus.us.es/handle//11441/161856
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161856

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161670
Dataset. 2024

EXPERIMENTAL DATASET OF A HIGH PRODUCTIVITY BIOPROCESS FOR OBTAINING METALLIC COPPER FROM PRINTED CIRCUIT BOARDS [DATASET]

  • Iglesias González, María Nieves
  • Dorado, Antonio D.
  • Ramírez del Amo, Pablo
  • Mazuelos Rojas, Alfonso
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.

Proyecto: //
DOI: https://idus.us.es/handle//11441/161670
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161670
HANDLE: https://idus.us.es/handle//11441/161670
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161670
PMID: https://idus.us.es/handle//11441/161670
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161670
Ver en: https://idus.us.es/handle//11441/161670
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/161670

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