Resultados totales (Incluyendo duplicados): 1446
Encontrada(s) 145 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
Dataset. 2021

DATASET FOR DISPERSAL OF NEOPHILAENUS CAMPESTRIS, A VECTOR OF XYLELLA FASTIDIOSA

  • Lago, Clara
  • Morent, Marina
  • de las Heras Bravo, Daniel
  • Martí Campoy, Antonio|||0000-0002-6009-8703
  • Rodríguez Ballester, Francisco|||0000-0002-4087-5077
  • Plaza, María
  • Moreno, Aranzazu
  • Fereres, Alberto
Dataset from outdoor mass-mark-recaptures and indoor flight mill experiments in order to study the dispersal capability Neophilaenus campestris, a vector of Xylella fastidiosa.

DOI: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
HANDLE: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
PMID: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
Ver en: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Dataset. 2021

BIOMIMETIC 3D ENVIRONMENT BASED ON MICROGELS AS A MODEL FOR THE GENERATION OF DRUG RESISTANCE IN MULTIPLE MYELOMA

  • Marin Paya, Juan Carlos
  • Díaz Benito, Blanca
  • Amaro Martins, Luis
  • Clara Trujillo, Sandra
  • Cordón, Lourdes
  • Lanceros-Mendez, Senentxu
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
  • Sempere, Amparo
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
The development of three-dimensional environments to mimic the in vivo cellular response is a problem in the building of disease models. This study aimed to synthesize and validate three-dimensional support for culturing monoclonal plasma cells (mPCs) as a disease model for multiple myeloma. The three-dimensional environment is a biomimetic microgel formed by alginate microspheres and produced on a microfluidic device whose surface has been functionalized by a layer-by-layer process with components of the bone marrow’s extracellular matrix, which will interact with mPC. As a proof of concept, RPMI 8226 cell line cells were cultured in our 3D culture platform. We proved that hyaluronic acid significantly increased cell proliferation and corroborated its role in inducing resistance to dexamethasone. Despite collagen type I having no effect on proliferation, it generated significant resistance to dexamethasone. Additionally, it was evidenced that both biomolecules were unable to induce resistance to bortezomib. These results validate the functionalized microgels as a 3D culture system that emulates the interaction between tumoral cells and the bone marrow extracellular matrix. This 3D environment could be a valuable culture system to test antitumoral drugs efficiency in multiple myeloma.

DOI: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
HANDLE: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
PMID: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Ver en: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183269
Dataset. 2022

THE MDPI DATASET: A LINK ANALYSIS

  • Orduña Malea, Enrique|||0000-0002-1989-8477
  • Aguillo, Isidro F.
This dataset includes two complimentary files. The first file (journal level metrics) includes a wide range of metrics related to all journals published by MDPI (N= 352 as of July 2021. It includes journal metrics (e.g., age), bibliometric indicators (publication counts, citation counts), and link-based indicators (e.g., links received). The second file (link-data) includes all links to each MDPI journal (N= 567,900). For each link, several metrics (e.g., Link density, link type, source Trust Flow) are included.

DOI: Dataset/10251/183269" target="_blank">http://hdl.handle.net/10251/183269, https://dx.doi.org/10.4995/Dataset/10251/183269
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183269
HANDLE: Dataset/10251/183269" target="_blank">http://hdl.handle.net/10251/183269, https://dx.doi.org/10.4995/Dataset/10251/183269
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183269
PMID: Dataset/10251/183269" target="_blank">http://hdl.handle.net/10251/183269, https://dx.doi.org/10.4995/Dataset/10251/183269
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183269
Ver en: Dataset/10251/183269" target="_blank">http://hdl.handle.net/10251/183269, https://dx.doi.org/10.4995/Dataset/10251/183269
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183269

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183914
Dataset. 2022

R PROJECT TO ASSESS THE ENVIRONMENTAL IMPACTS OF THE MAIN SPANISH CROPS AT A REGIONAL LEVEL

  • Sinisterra Solis, Nelson Kevin|||0000-0002-8428-9205
  • Sanjuán Pellicer, María Nieves|||0000-0001-9413-0268
  • Ribal Sanchis, Francisco Javier|||0000-0002-9355-0145
  • Estruch Guitart, Arturo Vicente|||0000-0002-7838-8899
  • Clemente Polo, Gabriela|||0000-0003-1173-9903
The collated data correspond to the parameters to estimate the resources consumption and the emissions to the environment from the main farming activities (resources consumption and emissions from infrastructure building and management, fertiliser and pesticide production, on-field fertiliser and pesticide emissions, fuel consumption from machinery use, and irrigation), together with the environmental impacts of the unit processes (e.g. electricity mix, production of agricultural inputs) required to assess the environmental impacts from a panel of reference holdings at the main NUTS 2 in Spain., The authors gratefully acknowledge both the Universitat Politècnica de València for providing the funds for N.K. Sinisterra-Solís’s research contract through Subprogram 1 (PAID-01-18).

DOI: Dataset/10251/183914" target="_blank">http://hdl.handle.net/10251/183914, https://dx.doi.org/10.4995/Dataset/10251/183914
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183914
HANDLE: Dataset/10251/183914" target="_blank">http://hdl.handle.net/10251/183914, https://dx.doi.org/10.4995/Dataset/10251/183914
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183914
PMID: Dataset/10251/183914" target="_blank">http://hdl.handle.net/10251/183914, https://dx.doi.org/10.4995/Dataset/10251/183914
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183914
Ver en: Dataset/10251/183914" target="_blank">http://hdl.handle.net/10251/183914, https://dx.doi.org/10.4995/Dataset/10251/183914
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/183914

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/187455
Dataset. 2022

STABILITY OF BIOMIMETICALLY FUNCTIONALISED ALGINATE MICROSPHERES AS 3D SUPPORT IN CELL CULTURES

  • García Briega, María Inmaculada|||0000-0003-0811-2632
  • Ródenas Rochina, Joaquín
  • Ribeiro Martins, Luis Amaro|||0000-0001-8648-6459
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
  • Lanceros-Mendez, Senentxu
  • Sempere Talens, Amparo
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
Alginate hydrogels can be used to develop a three-dimensional environment in which various cell types can be grown. Cross-linking the alginate chains using reversible ionic bonds opens up great possibilities for the encapsulation and subsequent release of cells or drugs. However, al-ginate also has a drawback in that its structure is not very stable in a culture medium with cellu-lar activity. This work explored the stability of alginate microspheres functionalised by grafting specific biomolecules onto their surface to form microgels in which biomimetic microspheres surrounded the cells in the culture, reproducing the natural microenvironment. A study was made of the stability of the microgel in different typical culture media and the formation of polyelectrolyte multilayers containing polylysine and heparin. Multiple myeloma cell prolifer-ation in the culture was tested in a bioreactor under gentle agitation., The Microscopy Service of the UPV (Universitat Politècnica de València) is gratefully acknowl-edged for helping with cryoFESEM characterisation. CIBER-BBN is an initiative funded by the VI National R&D&I Plan 2008–2011, Iniciativa Ingenio 2010, Consolider Program. The Instituto de Salud Carlos III financed CIBER Actions with assistance from the European Regional Develop-ment Fund.

DOI: Dataset/10251/187455" target="_blank">http://hdl.handle.net/10251/187455, https://dx.doi.org/10.4995/Dataset/10251/187455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/187455
HANDLE: Dataset/10251/187455" target="_blank">http://hdl.handle.net/10251/187455, https://dx.doi.org/10.4995/Dataset/10251/187455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/187455
PMID: Dataset/10251/187455" target="_blank">http://hdl.handle.net/10251/187455, https://dx.doi.org/10.4995/Dataset/10251/187455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/187455
Ver en: Dataset/10251/187455" target="_blank">http://hdl.handle.net/10251/187455, https://dx.doi.org/10.4995/Dataset/10251/187455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/187455

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
Dataset. 2022

MAGNETICALLY ACTIVATED PIEZOELECTRIC 3D PLATFORM BASED ON POLY(VINYLIDENE) FLUORIDE MICROSPHERES FOR OSTEOGENIC DIFFERENTIATION OF MESENCHYMAL STEM CELLS

  • Guillot Ferriols, María Teresa
  • García Briega, María Inmaculada|||0000-0003-0811-2632
  • Tolosa Pardo, Laia
  • Costa, Carlos Miguel
  • Lanceros-Mendez, Senentxu
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
Mesenchymal stem cells (MSCs) osteogenic commitment before injection enhances bone regen-eration therapy results. Piezoelectric stimulation may be an effective cue to promote MSC pre-differentiation, and poly(vinylidene) fluoride (PVDF) cell culture supports, when combined with CoFe2O4 (CFO), offer a wireless in vitro stimulation strategy. Under an external magnetic field, CFO shift and magnetostriction deform the polymer matrix varying the polymer surface charge due to the piezoelectric effect. To test the effect of piezoelectric stimulation on MSCs, our approach is based on a gelatin hydrogel with embedded MSCs and PVDF-CFO electroactive mi-crospheres. Microspheres were produced by electrospray technique, favouring CFO incorpora-tion, crystallisation in -phase (85 %) and a crystallinity degree of around 55 %. The absence of cytotoxicity of the 3D construct was confirmed 24 hours after cell encapsulation. Cells were via-ble, evenly distributed in the hydrogel matrix and surrounded by microspheres, allowing local stimulation. Hydrogels were stimulated using a magnetic bioreactor, and no significant changes were observed in MSCs proliferation in short or long term. Nevertheless, piezoelectric stimula-tion upregulated RUNX2 expression after 7 days, indicating the activation of the osteogenic dif-ferentiation pathway. These results open the door for optimising a stimulation protocol allow-ing the application of the magnetically activated 3D electroactive cell culture support for MSCs pre-differentiation before transplantation.

DOI: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
HANDLE: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
PMID: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261
Ver en: Dataset/10251/188261" target="_blank">http://hdl.handle.net/10251/188261, https://dx.doi.org/10.4995/Dataset/10251/188261
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/188261

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/189950
Dataset. 2022

PROTEIN-FUNCTIONALIZED MICROGEL FOR MULTIPLE MYELOMA CELLS’ 3D CULTURE

  • Marín Pallá, Juan Carlos
  • Clara Trujillo, Sandra
  • Cordón, Lourdes
  • Gallego Ferrer, Gloria|||0000-0002-2428-0903
  • Sempere, Amparo
  • Gómez Ribelles, José Luís|||0000-0001-9099-0885
Multiple myeloma is a hematologic neoplasm caused by an uncontrolled clonal proliferation of neoplastic plasma cells (nPCs) in the bone marrow. The development and survival of this disease is tightly related to the bone marrow environment. Proliferation and viability of nPCs depend on their interaction with the stromal cells and the extracellular matrix components, which also influences the appearance of drug resistance. Recapitulating these interactions in an in vitro culture requires 3D environments that incorporate the biomolecules of interest. In this work, we studied the proliferation and viability of three multiple myeloma cell lines in a microgel consisting of biostable microspheres with fibronectin (FN) on their surfaces. We also showed that the interaction of the RPMI8226 cell line with FN induced cell arrest in the G0/G1 cell cycle phase. RPMI8226 cells developed a significant resistance to dexamethasone, which was reduced when they were treated with dexamethasone and bortezomib in combination., CIBER-BBN is an initiative funded by the VI National R&D&I Plan 2008–2011, Iniciativa Ingenio 2010, and Consolider Program. CIBER Actions were financed by the Instituto de Salud Carlos III, with assistance from the European Regional Development Fund. The kind supplying of RPMI 8226 cells by Beatriz Martin (Josep Carreras Leukaemia Research Institute) is greatly acknowledged. The Microscopy Service of the UPV (Universitat Politècnica de València) is gratefully acknowledged.

DOI: Dataset/10251/189950" target="_blank">http://hdl.handle.net/10251/189950, https://dx.doi.org/10.4995/Dataset/10251/189950
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/189950
HANDLE: Dataset/10251/189950" target="_blank">http://hdl.handle.net/10251/189950, https://dx.doi.org/10.4995/Dataset/10251/189950
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/189950
PMID: Dataset/10251/189950" target="_blank">http://hdl.handle.net/10251/189950, https://dx.doi.org/10.4995/Dataset/10251/189950
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/189950
Ver en: Dataset/10251/189950" target="_blank">http://hdl.handle.net/10251/189950, https://dx.doi.org/10.4995/Dataset/10251/189950
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/189950

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/190519
Dataset. 2022

DATOS MUSEOS MARÍTIMOS ESPAÑA

  • Márquez Escamilla, Andrea
  • Cervelló Royo, Roberto Elías|||0000-0002-8304-4177
  • Herrera Racionero, Paloma|||0000-0002-3750-622X
  • Miret Pastor, Luis Gaspar|||0000-0002-9644-0021
Base de datos de los museos marítimos españoles con datos sobre fondos recibidos, This research was funded by SPANISH ECONOMY AND COMPETITIVENESS MINISTRY, grant number PID2019-105497 GB-I00, European Fisheries Funds, opportunities for the fisheries sector through diversification, and the FLAGs management (DivPesc).

DOI: Dataset/10251/190519" target="_blank">http://hdl.handle.net/10251/190519, https://dx.doi.org/10.4995/Dataset/10251/190519
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/190519
HANDLE: Dataset/10251/190519" target="_blank">http://hdl.handle.net/10251/190519, https://dx.doi.org/10.4995/Dataset/10251/190519
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/190519
PMID: Dataset/10251/190519" target="_blank">http://hdl.handle.net/10251/190519, https://dx.doi.org/10.4995/Dataset/10251/190519
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/190519
Ver en: Dataset/10251/190519" target="_blank">http://hdl.handle.net/10251/190519, https://dx.doi.org/10.4995/Dataset/10251/190519
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/190519

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191866
Dataset. 2022

GROW-GREEN CORE KPIS

GROW-GREEN PILOTS MONITORING

  • Orozco Messana, Javier|||0000-0001-8611-8816
  • Calabuig Moreno, Raimon|||0000-0003-0810-881X
  • Vallés Planells, María Concepción|||0000-0002-5932-0485
  • Galiana Galán, Francisco|||0000-0001-7897-6538
  • Tudorie, Carla Ana-Maria|||0000-0002-3060-6199
  • Alfonso Solar, David|||0000-0003-0141-075X
  • Peñalvo López, Elisa|||0000-0002-3143-822X
  • Andrés Doménech, Ignacio|||0000-0003-4237-4863
[EN] The H2020 project “Green Cities for Climate and Water Resilience, Sustainable Economic Growth, Healthy Citizens and Environments" (GROW GREEN, Grant Agreement: 730283), developed green infrastructure pilots in: Manchester, Valencia and Wroclaw. The monitoring framework supported the pilot analysis and its impact assessment through the development of core Key Performance Indicators (KPIs) through all pilots. The historical evolution of these core KPIs are available on the Grow-Green Open Data platform sharing the software architecture for the smart city platform of Valencia City. It is an implementation of Telefónica’s Thinking Cities platform, which is based on the FIWARE standards and interfaces. All monitoring data are included on this dataset grouped on the core KPIs structure., This research was co-funded by the European Commission through the H2020 project “Green Cities for Climate and Water Resilience, Sustainable Economic Growth, Healthy Citizens and Environments (GROW GREEN)” Grant Agreement: 730283.

DOI: Dataset/10251/191866" target="_blank">http://hdl.handle.net/10251/191866, https://dx.doi.org/10.4995/Dataset/10251/191866
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191866
HANDLE: Dataset/10251/191866" target="_blank">http://hdl.handle.net/10251/191866, https://dx.doi.org/10.4995/Dataset/10251/191866
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191866
PMID: Dataset/10251/191866" target="_blank">http://hdl.handle.net/10251/191866, https://dx.doi.org/10.4995/Dataset/10251/191866
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191866
Ver en: Dataset/10251/191866" target="_blank">http://hdl.handle.net/10251/191866, https://dx.doi.org/10.4995/Dataset/10251/191866
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191866

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
Dataset. 2023

UNCERTAINTY ASSESSMENT OF PROARRHYTHMIA PREDICTIONS DERIVED FROM MULTI-LEVEL IN SILICO MODELS

  • Kopanska, Karolina
  • Rodríguez-Belenguer, Pablo
  • Llopis-Lorente, Jordi|||0000-0002-3958-8062
  • Trénor, Beatriz|||0000-0001-9166-6112
  • Saiz, Javier|||0000-0002-9850-0825
  • Pastor, Manuel
[EN] These datasets were generated to train ("PopulationDrugsTrainingKrNaLCaL.xlsx") and test ("PopulationDrugsTestKrCaLNaL.xlsx") the uncertainty assessment models developed in the paper "Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models" by Kopanska, Rodríguez-Belenguer, et al., The authors received funding from the eTRANSAFE project, Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777365, supported from European Union's Horizon 2020 and the EFPIA. We also received funding from the SimCardioTest supported by European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016496. J.L.L. is being funded by the Ministerio de Ciencia, Innovacion y Universidades for the “Formacion de Profesorado Universitario” (Grant Reference: FPU18/01659). The work was also partially support by the Dirección General de Política Científica de la Generalitat Valenciana (PROMETEO/ 2020/043).

DOI: Dataset/10251/191820" target="_blank">http://hdl.handle.net/10251/191820, https://dx.doi.org/10.4995/Dataset/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
HANDLE: Dataset/10251/191820" target="_blank">http://hdl.handle.net/10251/191820, https://dx.doi.org/10.4995/Dataset/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
PMID: Dataset/10251/191820" target="_blank">http://hdl.handle.net/10251/191820, https://dx.doi.org/10.4995/Dataset/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820
Ver en: Dataset/10251/191820" target="_blank">http://hdl.handle.net/10251/191820, https://dx.doi.org/10.4995/Dataset/10251/191820
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/191820

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