Resultados totales (Incluyendo duplicados): 33743
Encontrada(s) 3375 página(s)
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/20239
Dataset. 2021

SUMMARY OF TWITTER ACTIVITY AND INTERACTIONS BY TEACHER AND STUDENTS

  • Llausàs i Pascual, Albert
Dades relacionades amb l'article "Use of Twitter to share news in higher education: the risk of magnification of engagement and learning", enviat a la revista 'The Internet and Higher Education' d'Elsevier, Data on tweets, tweet counts and tweet interaction counts were downloaded from https://twitter.com and https://analytics.twitter.com/user/GeoHumana_UV/home. Data on student performance and self-assessment were provided by participants during the development of the subject 34956 Human Geography in the year 2020-2021 at the University of Valencia, Datasheets are provided as Open Document Format for Office Applications (ODF), extended from xml, with .ods extension. The most common office packages, such as Libreoffice, can open the format, The dataset contains two data sheets, summarizing the results of a class activity involving the use of Twitter to share information and to learn. Table S1 is a summary of the tweets produced by user GeoHumana_UV (teacher/subject account) between 2020-09-16 and 2020-12-15, plus interactions recorded for each tweet (including number of impressions, URL clicks, likes, retweets and replies). All data provided by Twitter Analytics. Table S2 is a summary of student activity related to the class activity for the same period of time. It includes anonymized data on tweeting activity, level of interaction, performance and self-assessment by each participating student. Data provided by Twitter Analytics and the participants

Proyecto: //
DOI: http://hdl.handle.net/10256/20239
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/20239
HANDLE: http://hdl.handle.net/10256/20239
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/20239
PMID: http://hdl.handle.net/10256/20239
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/20239
Ver en: http://hdl.handle.net/10256/20239
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/20239

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21052
Dataset. 2022

GEMSTONE NETWORKS IN THE ROMAN EMPIRE, ACCORDING TO PLINY THE ELDER'S VISION

  • Pèrez González, Jordi
Files in .gdf / .gephi (which can be read by GEPHI) to obtain the representation of a network where meeting places of objects are associated with their places of origin. The Python program represents the network for a given time interval. The mission of this text is to make the routines easy for an unfamiliar user. Databases usually require a standardization before being able to run a program on them, since the program has been programmed to receive the data in a specific way. The objective of the program is to filter certain years from a given database and generate the network between stamps and discovery sites. The program in question is called network-provinces.py and is written in Python 2.7. NOMENCLATURE ** JPG Gems Vistorian Figures 1-2 EG = Egypt ALL = all ** JPG Gems Vistorian Figures 3-4 BLN = Berlin Museum JPGM = J. Paul Getty Museum XTN= Colonia Ulpia Traiana (Xanten) BOL= The Archaeological Civic Museum of Bologna VNZ = Venice National Archaeological Museum LNI = Luni UDN = Udine Museum VLC = University of Valencia GAU = Gaul BAR = Bari Museum FILES: ** JPG Gems Vistorian Figures 1-2 ** JPG Gems Vistorian Figures 3-4 ** GEMAS procedencia tabla ** gemmes.gdf ** gemmes.png ** Gems.py ** io_functions.py, The data in general are gemstones consumed in Roman markets and featured in book 37 of Pliny's Natural History. The data are the result of cleaning processes of the data. These cleaned and processed data have served to elaborate the graphs of networks of precious stones in the Roman Empire, according to the vision of Pliny the Elder

Proyecto: //
DOI: http://hdl.handle.net/10256/21052
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21052
HANDLE: http://hdl.handle.net/10256/21052
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21052
PMID: http://hdl.handle.net/10256/21052
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21052
Ver en: http://hdl.handle.net/10256/21052
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21052

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21254
Dataset. 2021

FOUR THESAURUS BRAND PERSONALITY DICTIONARIES

  • Hassan, Mohamed Abdalla Elsayed
  • Zerva, Konstantina
  • Aulet Serrallonga, Sílvia
Dades primàries associades a l'article publicat: Hassan, Mohamed Abdalla Elsayed; Zerva, Konstantina; Aulet Serrallonga, Sílvia. Brand Personality Traits of World Heritage Sites: Text Mining Approach. Sustainability, 2021, vol. 13, núm. 11, p. 6142. Disponible a https://doi.org/10.3390/su13116142, http://hdl.handle.net/10256/19605, The five-dimensional brand personality (BP) measure of Aaker (1997) has been perceived by academics as a significant tool for measuring brand intangible meanings. Pitt, Opoku, Hultman, Abratt, & Spyropoulou (2007) were the first to expand Aaker’s (1997) five dimensions into 833 items dictionary known as the first BP dictionary. This dictionary assisted Pitt et al. (2007) in analysing the tourism countries’ website BP from digital textual data, since then Pitt et al.’s (2007) BP lexical approach has been extended by other studies to analyse their brands from digital texts(Paschen, Pitt, Kietzmann, Dabirian, & Farshid, 2017; Ranfagni, Crawford Camiciottoli, & Faraoni, 2016). Even though Pitt et al. 's (2007) BP dictionary assisted in the analysis of BP from digital texts, academics explored that the 833 items did not allow prominent items to specific brands to be included in the analysis (Papania et al., 2008). Thus, in a study aimed to explore the BP of World Heritage Sites (WHSs), Four Thesaurus BP dictionaries were developed in order to aid in including items prominent to WHSs to be included(Hassan, Zerva, & Aulet, 2021). The 5, 571 non-redundant items of these dictionaries are an expansion of Aaker’s (1997) dimensions namely; Competence, Excitement, Ruggedness, Sincerity and Sophistication. In contrast to the construction of Pitt et al.’s (2007) dictionary established by using Encyclopedia Britannica’s online Thesaurus, the Four Thesaurus Dictionaries are constructed by four online thesaurus dictionaries that categorize the word due to their similarity. The technique of categories allowed the construction of the Four Thesaurus BP dictionaries and assisted in categories of words under Aaker’s five dimensions. These Four Thesaurus dictionaries were part of a method that assisted in identifying the BP dictionary of WHSs as a categories dictionary (Hassan et al., 2021). Furthermore, these Four Thesaurus Dictionaries items are validated as behavioural items by the use of available psychology dictionaries (Allport & Odbert, 1936), providing the Updated Four Thesaurus Dictionaries including 2, 643 unique items. Hence the use of these Four Thesaurus Dictionaries may be useful in defining the BP categories for brands or product categories (Hassan et al., 2021), This study presents a new BP dictionary that aiding in including most of the items that may be of prominent relevancy to various studies and still within the five personality categories of Aaker’s (1997) five dimensions, namely the 'Four Thesaurus Dictionaries'. This study established a new dictionary parallel and similar to Pitt’s dictionary by the use of four online dictionaries: 'Power Thesaurus' (www.powerthesaurus.org), 'OneLook Thesaurus' (www.onelook.com/thesaurus), 'Thesaurus Dictionary' (www.thesaurus.com), and 'Merriam Webster' (www.merriam-webster.com). The main idea here is that each dictionary may include more unique words, so using four sources aids in expanding the number of synonyms. The four online dictionaries were selected due to the fact that they arranged the synonyms of specific keywords based on their level of similarity, thus they are prominent in providing similarity rankings for the target keywords. This four-dictionary ranking of keywords was beneficial when extracting synonyms for Aaker’s items as each synonym is colour coded according to where is ranked in relation to a specific keyword. By colour-coding the keyword, it can then be placed in Aaker’s five dimensions according to its relevance. These dictionaries were coloured to show that the closer the similarity to one of the 42 traits in Aaker, the darker the colour. The colour code technique way is inspired by the way Thesaurus and OneLook dictionaries prioritize the degree of similarity between synonyms. An example can be found in the following URLs accessed on 25 May 2021: www.thesaurus.com/browse/unique; www.onelook.com/thesaurus/?s=unique. therefore, this technique aided in constructing four dictionaries (hereafter: 4-Thesaurus BP dictionaries), and their entire set of adjectives was classified according to the degree of relevance to one of the 42 traits within the five personality categories. Furthermore, From psychology studies, 18,337 non-redundant personality items were collected from Goldberg (1982), Saucier (1997), Norman (1963), and Allport and Odbert (1936) hereafter called psychology dictionaries. Allport and Odbert (1936) are the first to hypothesise that personality inhabits natural language terms, and their dictionary figures prominently in the development of the Big Five (Caprara, Barbaranelli, and Guido 2001). Therefore, The use of these psychology dictionaries aids in filter the Four Thesaurus dictionaries and keeping items that were agreed with psychology studies, which means that they were checked previously for their validation. To notify, in addition to the three psychology studies’ items used first by Fischer et al. (2020), this study also used 2,800 items from Norman (1967), who refined and structured the Allport traits. This technique enables this study to provide the Updated Thesaurus Dictionaries

Proyecto: //
DOI: http://hdl.handle.net/10256/21254
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21254
HANDLE: http://hdl.handle.net/10256/21254
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21254
PMID: http://hdl.handle.net/10256/21254
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21254
Ver en: http://hdl.handle.net/10256/21254
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/21254

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/145624
Dataset. 2021

STUDY ON TAX INCIDENCE [DATASET]

  • Ramos-Medina, Sonia Elizabeth
[EN]This database was compiled for use in a study on tax incidence. The research was carried out using the Web of Science (WoS) and Scopus databases and considers the period 1980-2020. This set would initially include articles that described or evaluated the tax incidence in any area, for which areas that are not eligible for the sample have been excluded from the analysis: Engineering, Arts and Humanities, History and Life Sciences., The information used in our study is: (1) Citation information; (2) Bibliographic information; (3) Abstract and keywords; (4) Financing details; (5) Other information.

Proyecto: //
DOI: http://hdl.handle.net/10366/145624
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/145624
HANDLE: http://hdl.handle.net/10366/145624
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/145624
PMID: http://hdl.handle.net/10366/145624
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/145624
Ver en: http://hdl.handle.net/10366/145624
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/145624

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
Dataset. 2017

RGF1P (RHO1P GEF) IS REQUIRED FOR DOUBLE-STRAND BREAK REPAIR IN FISSION YEAST [DATASET]

  • Manjón Pérez, Elvira
  • Edreira González, Tomás
  • Muñoz Félix, Sofía
  • Sánchez Martín, Yolanda
[EN]The dataset includes seven Supplementary Figure Legends about the exchange factor Rgf1p is involved in the repair of DNA double-strand breaks induced by Phl treatment. In S. pombe, the DNA damage checkpoint is activated by Rad3p (ATR homolog), which in turn activates its downstream protein kinase, Chk1p (67). The rgf1Δ cells are sensitive to CPT and highly sensitive to Phl, both drugs trigger a strong checkpoint response., CICYT, Spain [BFU2011-24683/BMC]; Junta de Castilla y León [SA073U14]. Funding for open access charge: MINECO.

Proyecto: //
DOI: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
HANDLE: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
PMID: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284
Ver en: http://hdl.handle.net/10366/146284
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146284

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
Dataset. 2021

FACTORS RELATED TO MENTAL HEALTH DURING THE COVID-19 LOCKDOWN IN SPAIN [DATASET]

  • Pinedo González, Ruth
  • Vicario Molina, Isabel
  • González Ortega, Eva
  • Palacios Picos, Andrés
The variables included are: (1) Sociodemographics; (2) Daily planning and activity; (3) Healthy habits; (4) Feelings of loneliness; (5) Coping humor; (6) Mental Health., [EN]This database was developed in a study of 3,508 adults from the Spanish general population ranging from 18 to 84 years old. Data were collected through an online survey during the phase of lockdown that took place in the months of March, April and May 2020 due to COVID-19 pandemic.

Proyecto: //
DOI: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
HANDLE: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
PMID: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908
Ver en: http://hdl.handle.net/10366/146908
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/146908

GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/151517
Dataset. 2023

THE REACTION OF SODIUM NITRITE WITH NEUROTRANSMITTERS SECRETED IN THE STOMACH [DATASET]

  • González Jiménez, Mario
  • García Santos, María Pilar
  • Bermejo Tesón, Blanca
  • Arenas Valgañón, Jorge
  • Calle Martín, Emilio
  • Casado, Julio
[EN] Nitroso-compounds are potentially mutagenic and carcinogenic compounds due to their ability to alkylate DNA bases. One of the most common sources of human exposure to nitroso-compounds is their formation in the acidic environment of the stomach by the reaction between electron-rich molecules present in the lumen and sodium nitrite ingested in the diet. To date, the formation of nitroso-compounds by the reaction of nitrite with food components has been investigated in depth, but little attention has been paid to substances secreted in the stomach, such as dopamine or serotonin, whose reaction products with nitrite have proven mutagenic properties. In this article we present a kinetic study with UV-visible spectroscopy of the nitrosation reactions of both molecules, as well as of L-tyrosine, the amino-acid precursor of dopamine. As a result, we have determined their reaction mechanisms, which show that in all of them the favoured reaction product is a stable nitroso-compound and that the molecule whose product is the most mutagenic, serotonin, undergoes two consecutive nitrosation reactions. These findings suggest that more research is needed to understand how this reaction alters the function of these neurotransmitters as well as the potential toxic effects they may have once nitrosated., a) Ministerio de Economía y Competitividad and the European Regional Development Fund. b) Universidad de Salamanca. M.G.J. had got a PhD. grant of the Ministerio de Economía y Competitividad J.A.V. had got a PhD. grant of the Junta de Castilla y León for a PhD. grant., Carpeta 1. Tirosine: 1. Extinction coefficient , 2. Extinction coefficient nitrosotirosine, 3. Reaction orders, 4. Influence Ionic ,Strength, 5. Influence Temperature, 6. Influence pH, 7. KIE. Carpeta 2. Dopamine: 1. Extinction coefficient, 2. Selfoxidation dopamine, 3. Extinction coefficient nitrosodopamine, 4. Catalysis by chloride ions, 5. Reaction orders, 6. Influence Ionic Strength, 7. Influence Temperature, 8. KIE. Carpeta 3. Serotonin: 1. Extinction coefficient, 2. Extinction coefficient nitrosated serotonin, 3. Influence Ionic Strength, 4. Reaction orders, 5. Influence pH, 6. Influence Temperature, 7. KIE

Proyecto: //
DOI: http://hdl.handle.net/10366/151517
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/151517
HANDLE: http://hdl.handle.net/10366/151517
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/151517
PMID: http://hdl.handle.net/10366/151517
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/151517
Ver en: http://hdl.handle.net/10366/151517
GREDOS. Repositorio Institucional de la Universidad de Salamanca
oai:gredos.usal.es:10366/151517

Repositorio Digital de la Universidad Politécnica de Cartagena
oai:repositorio.upct.es:10317/5815
Otros (other). 2017

EQUIVALENCIAS NUMÉRICAS DE LAS ALTURAS CONSTRUIDAS PARA LA CAPA DE VOLÚMENES CONSTRUIDOS ('CONSTRU') DEL CATASTRO

  • García Martín, Fernando Miguel
Esta tabla permite incorporar un nuevo campo a la capa ‘CONSTRU.shp’ de la cartografía del Catastro Inmobiliario Español con el número de alturas construidas en un formato numérico. Tras esta operación puede explotarse esta capa catastral para realizar operaciones que incluyan la altura de la edificación.

Proyecto: //
DOI: http://hdl.handle.net/10317/5815
Repositorio Digital de la Universidad Politécnica de Cartagena
oai:repositorio.upct.es:10317/5815
HANDLE: http://hdl.handle.net/10317/5815
Repositorio Digital de la Universidad Politécnica de Cartagena
oai:repositorio.upct.es:10317/5815
PMID: http://hdl.handle.net/10317/5815
Repositorio Digital de la Universidad Politécnica de Cartagena
oai:repositorio.upct.es:10317/5815
Ver en: http://hdl.handle.net/10317/5815
Repositorio Digital de la Universidad Politécnica de Cartagena
oai:repositorio.upct.es:10317/5815

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/148243
Dataset. 2023

MANAGING WATER STRESS IN OLIVE (OLEA EUROPAEA L.) ORCHARDS USING REFERENCE EQUATIONS FOR MIDDAY STEM WATER POTENTIAL [DATASET]

  • Sánchez Piñero, Marta
  • Corell González, Mireia
  • Moriana Elvira, Alfonso
  • Castro Valdecantos, Pedro
  • Martín Palomo, María José

Proyecto: //
DOI: https://idus.us.es/handle//11441/148243
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/148243
HANDLE: https://idus.us.es/handle//11441/148243
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/148243
PMID: https://idus.us.es/handle//11441/148243
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/148243
Ver en: https://idus.us.es/handle//11441/148243
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/148243

idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/133640
Dataset. 2022

OPTIMAL RETROFIT SOLUTIONS OF THE SOCIAL HOUSING STOCK OF SOUTHERN SPAIN FOR DIFFERENT CLIMATIC AREAS, UNDER FUTURE CLIMATE CHANGE WEATHER CONDITIONS. VISUALIZATION OF INTERACTIVE RESULTS [DATASET]

MEDIDAS DE REHABILITACIÓN OPTIMIZADAS APLICADAS AL PARQUE RESIDENCIAL SOCIAL DEL SUR DE ESPAÑA EN DIFERENTES ZONAS CLIMÁTICAS, ANTE ESCENARIOS CLIMÁTICOS FUTUROS DE CAMBIO CLIMÁTICO. VISUALIZACIÓN DE RESULTADOS DE FORMA INTERACTIVA [DATASET]

  • Calama-González, Carmen María
  • Suárez, Rafael
  • León-Rodríguez, Ángel Luis
Resultados interactivos de una investigación llevada a cabo sobre la implementación de estrategias de rehabilitación optimizadas aplicadas al parque residencial social del sur de España en diferentes zonas climáticas (A3, A4, B4 y C3), ante escenarios climáticos futuros de cambio climático. En concreto, se ha realizado un análisis multiobjetivo en el que se optimizan, a partir de la aplicación de algoritmos genéticos, los costes de intervención de diversas soluciones de rehabilitación y el confort térmico interior en verano e invierno de las viviendas sociales, bajo escenarios futuros de calentamiento global. Todo ello se realiza mediante modelos parametrizados y validados a nivel de conjunto edificatorio, implementando información real contenida en una base de datos facilitada por la Agencia de Vivienda y Rehabilitación de Andalucía (AVRA) en los modelos de simulación dinámica de conjunto. Los resultados de esta investigación están vinculados con el proyecto: Optimización Paramétrica de Fachadas de Doble Piel en Clima Mediterráneo para la Mejora de la Eficiencia Energética ante Escenarios de cambio Climático (BIA2017-86383-R)., La visualización de los resultados de esta investigación se realiza a través de ficheros .html que pueden ser accedidos fácilmente mediante cualquier navegador web. Existen tres tipos de figuras interactivas: gráficas de dispersión en 3d, gráficas de dispersión en 2d y gráficas de ejes paralelos. Se ha generado por cada zona climática analizada estos tres tipos de gráficos. En el caso de los gráficos de dispersión en 3d, el entorno web permite girar y aumentar la figura, para facilitar su visualización en el espacio. Además, colocando el cursor sobre cada punto, pueden consultarse los valores específicos de las variables de optimización (porcentaje de horas con temperaturas por encima del límite superior e inferior del confort y costes de inversión en €/m2 construido). En los gráficos en dispersión en 2d, colocando el cursor sobre cada punto, se despliega una ventana en la que pueden visualizarse los diferentes valores asociados a ese punto. En lo referente a las figuras de coordenadas paralelas, las variables de optimización pueden filtrase, seleccionando y arrastrando el cursor sobre un rango de valores buscado. Lo mismo puede realizarse con el resto de variables combinatorias. Hecho esto, la herramienta web mostrará la combinación de los paquetes de rehabilitación óptimos (variables de rehabilitación ligadas a la mejora energética de la envolvente térmica y las variables operacionales analizadas). Cada combinación, tendrá asociado un valor concreto de horas fuera del confort en verano e invierno, así como de costes de inversión. Por consiguiente, es posible realizar una comparación rápida y genérica entre diferentes actuaciones y seleccionar, de forma acorde, valorando los resultados, las medidas de rehabilitación que mejor se ajusten a los Programas e Iniciativas rehabilitadoras consideradas., v.1

Proyecto: //
DOI: https://idus.us.es/handle//11441/133640
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/133640
HANDLE: https://idus.us.es/handle//11441/133640
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/133640
PMID: https://idus.us.es/handle//11441/133640
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/133640
Ver en: https://idus.us.es/handle//11441/133640
idUS. Depósito de Investigación de la Universidad de Sevilla
oai:idus.us.es:11441/133640

Buscador avanzado