Resultados totales (Incluyendo duplicados): 33777
Encontrada(s) 3378 página(s)
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Dataset. 2020

COOPERATIVE LEARNING FOR END-TO-END DELAY MODELING IN MULTI-DOMAIN NETWORKS [DATASET]

  • Ruiz Ramírez, Marc|||0000-0001-6429-6347
  • Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
This dataset has been used to generate part of the results included in the manuscript: "Cooperative Learning for End-to-End Delay Modeling in Multi-Domain Networks", submitted to IEEE Transactions on Network and Service Management (TNSM) at the time of publication of this dataset. The dataset contains synthetic end-to-end (e2e) delay and traffic measurements for multidomain paths established in a network consisting in three domains. Paths traverse either two or three domains. Besides e2e monitoring data, routing information of the paths and the models used to compute the delay introduced for each domain (i.e. intra-domain delay components of total e2e delay) are provided. Traffic and delay data were synthetically generated according to the CURSA-SQ methodology. For further details about it, please refer to the following reports: "The Logistic Queue Model", Tech. Rep. UPC-DAC-RR-GEN-2020-1 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-1.pdf) and "Validation of the CURSA-SQ Methodology", Tech. Rep. UPC-DAC-RR-GEN-2020-2 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-2.pdf)

Proyecto: //
DOI: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
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HANDLE: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
PMID: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Ver en: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
Dataset. 2020

MATERIAL, GEOMETRICAL AND IMPERFECTION CHARACTERISTICS OF STRUCTURAL STAINLESS STEELS AND MEMBERS [DATASET]

  • Arrayago Luquin, Itsaso|||0000-0002-0054-9322
  • Rasmussen, Kim J.R.
  • Real Saladrigas, Esther|||0000-0003-1723-3380
This file includes data used in the calibration of statistical models for the different random variables affecting stainless steel members. This data was used in the analysis carried out and reported in the publication: Arrayago I., Rasmussen K.J.R., Real E. Statistical analysis of the material, geometrical and imperfection characteristics of structural stainless steels and members Journal of Constructional Steel Research 175, 106378, 2020. DOI: https://doi.org/10.1016/j.jcsr.2020.106378 Measured and nominal values are listed for geometry-related data. Measured values are listed for material, imperfection and residual stress data.

DOI: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
HANDLE: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
PMID: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
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UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Dataset. 2017

PREDICTING INSTRUMENTAL MASS FRACTIONATION (IMF) OF STABLE ISOTOPE SIMS ANALYSES BY RESPONSE SURFACE METHODOLOGY (RSM) [DATASET]

  • Parcerisa Duocastella, David|||0000-0001-8071-9936
  • Rossell Garriga, Josep Maria|||0000-0002-5631-5357
  • Fàbrega Alsina, Carles
  • Gurenko, Andrey
  • Franke, Christine
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial., Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.

DOI: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
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HANDLE: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
PMID: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Ver en: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
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UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
Dataset. 2020

POLYPROPYLENE MESH FOR HERNIA REPAIR WITH CONTROLLABLE CELL ADHESION/DE-ADHESION PROPERTIES [DATASET]

  • Lanzalaco, Sonia|||0000-0002-8604-5095
  • Valle Mendoza, Luis Javier del|||0000-0001-9916-1741
  • Turón Dols, Pau
  • Weis, Christine
  • Estrany Coda, Francesc|||0000-0002-2696-1489
  • Alemán Llansó, Carlos|||0000-0003-4462-6075
  • Armelín Diggroc, Elaine Aparecida|||0000-0002-0658-7696
These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP2 of the European Project 4D-POLYSENSE., The present dataset collects and reports the scientific results corresponding to a scientific study of a commercial and fully flexible versatile bilayer system, composed by a polypropylene (PP) mesh and a covalently bonded poly(N-isopropylacrylamide) (PNIPAAm) hydrogel. In this study the mechanism responsible for cell-adhesion and de-adhesion, when the PNIPAAm-co-MBA monolayer film (adherent on one hand to the PP substrate and anti-adherent on the other hand to cell proliferation) is being employed, has been elucidated. The grafting of the hydrogel was studied and the the graft yield as well as the spectroscopic characterization (FTIR and XPS) of samples treated at different concentration of the crosslinker and different grafting time are ported in the present dataset. The scientific results of cell adhesion and biocompatibility assay are also included, being the in vitro results with fibroblast (COS-1) and epithelial (MCF-7) cells obtained with a mesh modified with a porous iPP-g-PNIPAAm bilayer system, prepared via PNIPAAm grafting for 2 h at the lowest N,NI-methylene bis(acrylamide) (MBA) concentration (1 mM).

DOI: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
HANDLE: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
PMID: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
Dataset. 2018

GEOCHEMICAL DATA OF ALBITIZED PROFILES IN EUROPE

DADES GEOQUÍMIQUES DE PERFILS ALBITITZATS A EUROPA

  • Fàbrega Alsina, Carles
  • Parcerisa Duocastella, David|||0000-0001-8071-9936
  • Gómez-Gras, David
  • Travé, Anna
  • Thiry, Médard
  • Franke, Christine
  • Gurenko, Andrey
  • Solé, Jesús
Analitical data of several minerals (quartz, K-feldspar, plagioclase, Monazite) of the albitized granites of the Variscan basement in Europe. The samples come from the Catalan Coastal Ranges, the Pyrenees, the Morvan massif and the Sudetes. Most of this data have been used in several papers and in the Cares Fàbrega PhD Thesis.

DOI: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
HANDLE: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
PMID: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
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oai:upcommons.upc.edu:2117/114114

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187515
Dataset. 2020

THE MECHANISM OF ADHESION AND GRAFT POLYMERIZATION OF A PNIPAAM THERMORESPONSIVE HYDROGEL TO POLYPROPYLENE MESHES [DATASET]

  • Lanzalaco, Sonia|||0000-0002-8604-5095
  • Turón Dols, Pau
  • Weis, Christina
  • Alemán Llansó, Carlos|||0000-0003-4462-6075
  • Armelín Diggroc, Elaine Aparecida|||0000-0002-0658-7696
These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP1 of the European Project 4D-POLYSENSE., In the scientific publication corresponding to the present dataset, a commercial and fully flexible monofilament polypropylene mesh has been used for the deposition of a thermosensitive hydrogel, generated by graft copolymerization of N-isopropylacrylamide (NIPAAm) and N,NI-methylene bis(acrylamide) (MBA) monomers. The study represents an initial step for the future development of a new generation of surgical meshes, able to interact with the complex three-dimensional structure of biological tissues, as smart materials working as self-evolving motion sensors. The meshes were previously functionalized by O2-plasma method and subsequently grafted with the thermoresponive hydrogel and the data related to micro- and standard spectroscopy techniques empoyed for the characterization, such as Raman spectroscopy, FTIR spectroscopy and XPS, are reported in the present dataset. Additionally, the data of graft yield and thermoresponsive properties of PNIPAAm (VPTT behaviour) are included in the dataset

DOI: http://hdl.handle.net/2117/187515, https://dx.doi.org/10.5821/data-2117-187515-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187515
HANDLE: http://hdl.handle.net/2117/187515, https://dx.doi.org/10.5821/data-2117-187515-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187515
PMID: http://hdl.handle.net/2117/187515, https://dx.doi.org/10.5821/data-2117-187515-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/187515, https://dx.doi.org/10.5821/data-2117-187515-1
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oai:upcommons.upc.edu:2117/187515

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/327183
Dataset. 2020

LOS RECURSOS EDUCATIVOS ABIERTOS (REA) EN EL CONTEXTO UNIVERSITARIO ESPAÑOL : ANÁLISIS DE CONTENIDO [DATASET]

  • Santos-Hermosa, Gema
  • Estupinyà Pinyol, Eva
  • Nonó Rius, Brigit
  • Paris-Folch, Maria-Lidon
  • Prats Prat, Jordi
Datos recopilados en el análisis de la colecciones docentes disponibles en los repositorios institucionales de las universidades españolas.

Proyecto: //
DOI: http://hdl.handle.net/2117/327183, https://dx.doi.org/10.5821/data-2117-327183-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/327183
HANDLE: http://hdl.handle.net/2117/327183, https://dx.doi.org/10.5821/data-2117-327183-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/327183
PMID: http://hdl.handle.net/2117/327183, https://dx.doi.org/10.5821/data-2117-327183-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/327183, https://dx.doi.org/10.5821/data-2117-327183-1
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oai:upcommons.upc.edu:2117/327183

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/336056
Dataset. 2021

SYSTEM RESISTANCE OF STAINLESS STEEL PORTAL FRAMES UNDER GRAVITY LOADS

  • Arrayago Luquin, Itsaso|||0000-0002-0054-9322
  • Rasmussen, Kim J.R.
This file includes data on system strength of stainless steel frames under gravity loads obtained from the finite element simulations carried out on six stainless steel frames. This data was used in the analysis carried out and reported in the publication: Input and output data is provided separately for each of the six frames investigated. Frames 1 and 2 correspond to austenitic stainless steel, Frames 3 and 4 to duplex stainless steel and Frames 5 and 6 to ferritic stainless steel.

DOI: http://hdl.handle.net/2117/336056, https://dx.doi.org/10.5821/data-2117-336056-1
UPCommons. Portal del coneixement obert de la UPC
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HANDLE: http://hdl.handle.net/2117/336056, https://dx.doi.org/10.5821/data-2117-336056-1
UPCommons. Portal del coneixement obert de la UPC
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PMID: http://hdl.handle.net/2117/336056, https://dx.doi.org/10.5821/data-2117-336056-1
UPCommons. Portal del coneixement obert de la UPC
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Ver en: http://hdl.handle.net/2117/336056, https://dx.doi.org/10.5821/data-2117-336056-1
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UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370807
Dataset. 2022

DIGNITY DIGITAL EXCLUSION DATASET - FLANDERS

  • Goodman-Deane, Joy
  • Waller, Sam
  • Roca Bosch, Elisabet|||0000-0001-9432-0029
  • Delespaul, Sam
This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 418 adult participants in Flanders region in Belgium in 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

DOI: http://hdl.handle.net/2117/370807, https://dx.doi.org/10.5821/data-2117-370807-1
UPCommons. Portal del coneixement obert de la UPC
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HANDLE: http://hdl.handle.net/2117/370807, https://dx.doi.org/10.5821/data-2117-370807-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370807
PMID: http://hdl.handle.net/2117/370807, https://dx.doi.org/10.5821/data-2117-370807-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370807
Ver en: http://hdl.handle.net/2117/370807, https://dx.doi.org/10.5821/data-2117-370807-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370807

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
Dataset. 2017

QUANTUM LIQUID DROPLETS IN A MIXTURE OF BOSE-EINSTEIN CONDENSATES [DATASET]

  • Cabrera, C. R.
  • Tanzi, L.
  • Sanz, J.
  • Naylor, B.
  • Thomas, P.
  • Cheiney, P.
  • Tarruell, Leticia
Experimental data displayed in the figures of the article: Bose-Einstein condensates, Quantum mixtures, Quantum líquids, Quantum fluctuations., Peer Reviewed

DOI: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
HANDLE: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
PMID: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
Ver en: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
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