Resultados totales (Incluyendo duplicados): 2617
Encontrada(s) 262 página(s)
Encontrada(s) 262 página(s)
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370807
Set de datos (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: https://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
HANDLE: https://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: https://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: https://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:2117/370641
Set de datos (Dataset). 2022
DIGNITY DIGITAL EXCLUSION DATASET - BARCELONA
- Goodman-Deane, Joy
- Waller, Sam
- Roca Bosch, Elisabet|||0000-0001-9432-0029
- Lazzarini, Boris|||0000-0003-3164-416X
- Wybraniec, Bartosz Maciej|||0000-0001-5517-3708
- Villares Junyent, Míriam|||0000-0001-6910-931X
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 601 adult participants in the Barcelona Metropolitan Area of Spain in 2020. 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: https://hdl.handle.net/2117/370641, https://dx.doi.org/10.5821/data-2117-370641-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370641
HANDLE: https://hdl.handle.net/2117/370641, https://dx.doi.org/10.5821/data-2117-370641-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370641
PMID: https://hdl.handle.net/2117/370641, https://dx.doi.org/10.5821/data-2117-370641-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370641
Ver en: https://hdl.handle.net/2117/370641, https://dx.doi.org/10.5821/data-2117-370641-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370641
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370588
Set de datos (Dataset). 2022
DIGNITY DIGITAL EXCLUSION DATASET - ITALY
- Goodman-Deane, Joy
- Waller, Sam
- Roca Bosch, Elisabet|||0000-0001-9432-0029
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 1002 adult participants in Italy in 2020. 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: https://hdl.handle.net/2117/370588, https://dx.doi.org/10.5821/data-2117-370588-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370588
HANDLE: https://hdl.handle.net/2117/370588, https://dx.doi.org/10.5821/data-2117-370588-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370588
PMID: https://hdl.handle.net/2117/370588, https://dx.doi.org/10.5821/data-2117-370588-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370588
Ver en: https://hdl.handle.net/2117/370588, https://dx.doi.org/10.5821/data-2117-370588-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/370588
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/367811
Set de datos (Dataset). 2022
DIGNITY DIGITAL EXCLUSION DATASET - GERMANY
- Goodman-Deane, Joy
- Kluge, Jakob
- Waller, Sam
- Roca Bosch, Elisabet|||0000-0001-9432-0029
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 1010 adult participants in Germany in 2020. 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: https://hdl.handle.net/2117/367811, https://dx.doi.org/10.5821/data-2117-367811-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/367811
HANDLE: https://hdl.handle.net/2117/367811, https://dx.doi.org/10.5821/data-2117-367811-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/367811
PMID: https://hdl.handle.net/2117/367811, https://dx.doi.org/10.5821/data-2117-367811-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/367811
Ver en: https://hdl.handle.net/2117/367811, https://dx.doi.org/10.5821/data-2117-367811-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/367811
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/26615
Set de datos (Dataset). 2022
MOSQUITONET [DATASET]
- Cano Ortiz, Saúl|||0000-0003-1383-180X
Mosquitonet is an open-source pavement distress dataset collected with a low-cost vehicle-mounted system for pavement distress detection through Deep Learning algorithms. There are 7099 images with 13 distress classes, annotated by experts in 12 formats: COCO, PASCAL VOC, YOLO/YOLOv4-v7 PyTorch, TF Object Detection, TFRecord, YOLOv3 Keras, Retinanet Keras and CreateML.
The images were gathered by means of a low-cost, high-resolution and fast-acquisition system, Mosquito. The Mosquito system is an unmanned aerial vehicle mounted on a 3D-printed
structure that is attached to a vehicle using a suction cup system. The Mosquito system provides images and GPS coordinates per image for speeds up to 120 km/h, where its remote
control allows the co-pilot to adjust its parameters in real time for better capture. Annotations for training Deep Learning models were performed manually by pavement experts.
Proyecto: //
DOI: https://hdl.handle.net/10902/26615
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/26615
HANDLE: https://hdl.handle.net/10902/26615
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/26615
PMID: https://hdl.handle.net/10902/26615
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/26615
Ver en: https://hdl.handle.net/10902/26615
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/26615
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/25534
Set de datos (Dataset). 2022
LA HERMIDA PHOTOGRAMMETRY [DATASET]
FOTOGRAMETRÍA LA HERMIDA
- Sedano Cibrián, Javier
- Luis Ruiz, Julio Manuel de|||0000-0001-6633-3690
- Pérez Álvarez, Rubén|||0000-0003-0529-0652
- Pereda García, Raúl|||0000-0003-0522-310X
- Salas Menocal, Benito Ramiro
Las imágenes tienen formato JPEG, Email de contacto: sedanoj@unican.es, Imágenes del vuelo fotogramétrico con Drone de las instalaciones del Balneario La Hermida, Drone photogrammetric flight images of the Balneario La Hermida facilities
Proyecto: //
DOI: http://hdl.handle.net/10902/25534
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/25534
HANDLE: http://hdl.handle.net/10902/25534
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/25534
PMID: http://hdl.handle.net/10902/25534
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/25534
Ver en: http://hdl.handle.net/10902/25534
UCrea Repositorio Abierto de la Universidad de Cantabria
oai:repositorio.unican.es:10902/25534
Docta Complutense
oai:docta.ucm.es:20.500.14352/118500
Set de datos (Dataset). 2022
DATA: COMBINATION OF ELECTRON BEAM SURFACE STRUCTURING AND PLASMA ELECTROLYTIC OXIDATION FOR ADVANCED SURFACE MODIFICATION OF TI6AL4V ALLOY
- Mora Sánchez, Hugo
- Pixner, Florian
- Buzolin, Ricardo
- Mohedano Sánchez, Marta
- Arrabal Durán, Raúl
- Warchomicka, Fernando
- Matykina, Endzhe
The objective of this work is to study for the first time the combination of electron beam (EB) surface structuring and plasma electrolytic oxidation (PEO) with the aim of providing a multiscale topography and bioactive surface to the Ti6Al4V alloy for biomedical applications. Ca and P-containing coatings were produced via 45 s PEO treatments over multi-scale EB surface topographies. The coatings morphology and composition were characterized by a means of scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS). The effect on the previous EB topography was evaluated by means of a 3D optical profilometry and electrochemical response via potentiodynamic polarization tests. In general, the PEO process, morphology, composition and growth rate of the coatings were almost identical, irrespective of the topography treated. Minimal local differences were found in terms of morphology, and the growth rate were related to specific topographical features. Nevertheless, all the PEO-coated substrates presented essentially the same corrosion resistance. Electrochemical tests revealed a localized crevice corrosion susceptibility of all the bare EB topographies, which was successfully prevented after the PEO treatment.
DOI: https://hdl.handle.net/20.500.14352/118500
Docta Complutense
oai:docta.ucm.es:20.500.14352/118500
HANDLE: https://hdl.handle.net/20.500.14352/118500
Docta Complutense
oai:docta.ucm.es:20.500.14352/118500
PMID: https://hdl.handle.net/20.500.14352/118500
Docta Complutense
oai:docta.ucm.es:20.500.14352/118500
Ver en: https://hdl.handle.net/20.500.14352/118500
Docta Complutense
oai:docta.ucm.es:20.500.14352/118500
Docta Complutense
oai:docta.ucm.es:20.500.14352/126161
Set de datos (Dataset). 2022
THE STEREOSCOPIC ANISOTROPY IS SMALLER IN ELDERLY POPULATION
- Aracelis Aguilera, Francisco
- Serrano Pedraza, Ignacio
Data set from paper: The stereoscopic anisotropy is smaller in elderly population
DOI: https://hdl.handle.net/20.500.14352/126161
Docta Complutense
oai:docta.ucm.es:20.500.14352/126161
HANDLE: https://hdl.handle.net/20.500.14352/126161
Docta Complutense
oai:docta.ucm.es:20.500.14352/126161
PMID: https://hdl.handle.net/20.500.14352/126161
Docta Complutense
oai:docta.ucm.es:20.500.14352/126161
Ver en: https://hdl.handle.net/20.500.14352/126161
Docta Complutense
oai:docta.ucm.es:20.500.14352/126161
Docta Complutense
oai:docta.ucm.es:20.500.14352/116914
Set de datos (Dataset). 2022
DATASET: ESTUDIOS CM, IMC, HÁBITOS DE PRÁCTICA Y VARIABLES PSICOSOCIALES
- Ramón Otero, Irene
Base de datos relacionados con la Tesis Doctoral de Irene Ramón Otero titulada: Coordinación motriz en la adolescencia y su relación con el IMC, hábitos de práctica y motivación en EF. Estudio transversal y longitudinal
Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/116914
Docta Complutense
oai:docta.ucm.es:20.500.14352/116914
HANDLE: https://hdl.handle.net/20.500.14352/116914
Docta Complutense
oai:docta.ucm.es:20.500.14352/116914
PMID: https://hdl.handle.net/20.500.14352/116914
Docta Complutense
oai:docta.ucm.es:20.500.14352/116914
Ver en: https://hdl.handle.net/20.500.14352/116914
Docta Complutense
oai:docta.ucm.es:20.500.14352/116914
Docta Complutense
oai:docta.ucm.es:20.500.14352/118498
Set de datos (Dataset). 2022
DATA: PERMANGANATE LOADED CA-AL-LDH COATING FOR ACTIVE CORROSION PROTECTION OF 2024-T3 ALLOY
- Del Olmo Martínez, Rubén
- Mohedano Sánchez, Marta
- Matykina, Endzhe
- Arrabal Durán, Raúl
Ca-Al-Layered Double Hydroxide (Ca-Al-LDH) coating was explored on 2024-T3 aluminium alloy by in situ growth methodology following a 1 h treatment at atmospheric pressure. Mn-based species were successfully incorporated into the Ca-Al-LDH structure by a low-temperature post-treatment (Ca-Al-LDH-Mn). Both LDH coatings disclosed a flaky-like morphology and low thickness (~0.6 µm). Ca-Al-LDH-Mn coating showed optimal paint adhesion and the highest long-term corrosion resistance in 3.5 wt% NaCl solution. Evaluation of scribed LDH specimens by SEM/EDS techniques up to 7 days of immersion in 3.5 wt% NaCl solution revealed that the presence of Mn species in the Ca-Al-LDH-Mn provided active corrosion protection.
Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/118498
Docta Complutense
oai:docta.ucm.es:20.500.14352/118498
HANDLE: https://hdl.handle.net/20.500.14352/118498
Docta Complutense
oai:docta.ucm.es:20.500.14352/118498
PMID: https://hdl.handle.net/20.500.14352/118498
Docta Complutense
oai:docta.ucm.es:20.500.14352/118498
Ver en: https://hdl.handle.net/20.500.14352/118498
Docta Complutense
oai:docta.ucm.es:20.500.14352/118498
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