Datos de las 3 redes de BGCs descritas en la tesis.

Ficheros de datos obtenidos desde WoS y tratados con OpenRefine para la asignatura Visualización de la Información

Dataset created under the Connecting Europe Facility of the European Union programme, VARIOT project TENtec n. 28263632. Developed by the Intelligent Systems for Industrial Systems group supported by the Department of Education, Language policy and Culture of the Basque Government.

This dataset comprises Google Home Mini IoT device network traffic and different features under normal operation mode.

• Device description: Google Home Mini is a Wi-Fi speaker that doubles up as a smart home control hub and personal assistant for the entire family. You can use it to playback entertainment throughout your home, manage everyday tasks, and ask Google things you want to know.

• Infection type: None

Dish Network Capital Y Las Reservas - Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Jul 2025.Data for Dish Network | Capital Y Las Reservas including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Dish Network Capital Social Ordinario - Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Jun 2025.Data for Dish Network | Capital Social Ordinario including historical, tables and charts were last updated by Trading Economics this last June in 2025.

This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/. This data contain the street network and location of road intersections in Barranquilla, Colombia in 2024. The data was from the official national open-source data platform, in Spanish "DatosAbiertos" (https://www.datos.gov.co/). The intersection points were generated in QGIS, using the road network as a base, and the Vector Overlay-Line Intersections algorithm.

No description is available. Visit https://dataone.org/datasets/doi%3A10.5063%2FAA%2Ftao.1.1 for complete metadata about this dataset.

Ficheros de datos en bruto obtenidos desde WoS para la asignatura Visualización de la Información

This statistic presents the most popular social networks among internet users in the United States as of March 2018, by ethnicity. According to the findings, Facebook was the most used social media network among all internet users regardless of ethnicity. Hispanics and Asians both accounted for a usage value of 69 percent each, while African-Americans reported a 62 percent usage rate.

Map of information supplied by electrical network analyzer with data from sensors

This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/. This dataset contains the street network and intersections of Bogota, Colombia as of 2021. Data were obtained from official data platform of the Bogotá District Mobility Secretariat, in Spanish "Datos Abiertos Secretaría Distrital de Movilidad " (https://datos.movilidadbogota.gov.co/). Data cleaning included: Selection of the variables of interest and renaming them according to the parameters established in the data dictionary and categorization based on the defined domains. Intersection points were generated in QGIS using the 2021 street network via

Datos prueba OScar. Visit https://dataone.org/datasets/o_madrigal.3.1 for complete metadata about this dataset.

Dish Network Ventas - Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Jul 2025.Data for Dish Network | Ventas including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Description of the project

This dataset is the result of the research carried out in the project "A Benchmark for Rey-Osterrieth Complex Figure (ROCF) Test Automatic Scoring", whose main goal was to establish a baseline for the scoring task consisting of: a dataset with 528 ROCF and results obtained by several deep learning models, as well as, by a group of psychology experts.

Characterisation of the stations that make up the Air Quality Network of the Community of Madrid

linear water network used in the municipality of Miquelon

This topic includes both the communication routes for vehicles and people and the associated infrastructures. The phenomena of road, road, urban road and bike path among others have been included, It is recommended that the road network be complete, continuous and connected. (See Section 2.3.3 of the Preamble to the Phenomena Dictionary). Air transport networks and waterways have not been considered, although port and airport enclosures are included in the base. The inclusion of the trans-European transport network as defined in Decision No 1692/96/EC2 and future revisions of that Decision are pending.

Dataset created under the Connecting Europe Facility of the European Union programme, VARIOT project TENtec n. 28263632. Developed by the Intelligent Systems for Industrial Systems group supported by the Department of Education, Language policy and Culture of the Basque Government.

This dataset comprises Netatmo Smart Home Weather Station Iot device network traffic and different features under normal operation mode.

• Device description: The Netatmo Smart Home Weather Station is a great way to check the precise outdoor and indoor temperature.

• Infection type: None

gnoss.com is a society on the Net: it enables people, companies and any human group or organization to connect, interact and work according to their interests in a linked open knowledge network. The project is in public beta phase since September 2009. It already has 28,000 subscribers and a knowledge network of more than 3,000 communities (November 2012) on topics related to innovation, technology, business and education, among others. gnoss.com works within the philosophy of Open Data and proposes a solution so that data can be linked (Linked Data). Data are expressed in OWL-RDF files.

Currently, more than 100,000 resources have been published in the platform. For each resource, the platform enables to download an RDF document describing its content and metadata. Different languages such as FOAF, SIOC and SKOS are used in this description. Our whole dataset has about 4,500,000 RDF Triples. In addition, most of these resources are linked to one or more resources of the Freebase and New York Time datasets. We have about 20,000 links to these datasets.

GNOSS is a software platform, created by RIAM Intelearning LAB S.L., to build specialized online social networks with dynamic semantic publishing. GNOSS integrates knowledge management, informal learning and collaborative work in a Linked Data environment. Every GNOSS space incorporates semantic facet-based searches and semantic context creation which drastically improves user experience. GNOSS runs on technologies and standards of the semantic web, which makes it possible to structure and link all kinds of content, among them and with other Open Data (Linked Data), and to reinforce and to amplify the knowledge management processes with facet-based searches and generation of documentary and personal contexts for specific information. GNOSS provides people, groups and organizations with the necessary tools to create and develop their digital identity, connect their intelligences, create communities based on their interests and motivations, and activate thriving processes of collective creativity, brainpower, debate and thinking.

For further information: http://noticias.gnoss.com

gnoss.com es una sociedad en la Red: permite a personas, empresas y a cualquier colectivo conectar, interactuar y trabajar de acuerdo con sus intereses en una red abierta de conocimiento. El proyecto está en beta pública desde septiembre de 2009. Gnoss.com tiene 27.000 miembros registrados y una red de conocimiento de más de 3.000 comunidades (Octubre 2012) en temas como innovación, tecnología, negocios y educación, entre otros. gnoss.com trabaja con la filosofía de Datos Abiertos y propone una solución en la que los datos puedan ser vinculados (Linked Data). Los datos se expresan en ficheros OWL-RDF.

En la actualidad, se han publicado más de 100.000 recursos en la plataforma. Para cada recurso, la plataforma ofrece un archivo RDF que describe su contenido y metadatos. Diferentes lenguajes como FOAF, SIOC y SKOS se usan en esta descripción. Nuestra base de datos tiene más de 4.500.000 triples. Además, la mayoría de los recursos de gnoss.com están vinculados con otros recursos de Freebase y The New York Times. Tenemos más de 20.000 enlaces de estos datasets.

GNOSS es una plataforma de software, creada por RIAM Intelearning LAB SL, para construir redes sociales especializadas a través de la publicación semántica dinámica de contenidos (dynamic semantic publishing). GNOSS integra gestión del conocimiento, aprendizaje informal y trabajo colaborativo en un entorno de datos enlazados ( Linked Data ). Cada espacio GNOSS incorpora búsquedas semánticas facetadas y la generación semántica de contextos lo que se permite mejorar considerablemente la experiencia del usuario.

GNOSS funciona sobre las tecnologías y estándares de la web semántica, lo que hace posible, por un lado, estructurar y enlazar entre sí y con los intereses de las personas toda clase de contenidos (Linked Data), y por otro refuerza y amplifica los procesos de gestión del conocimiento con búsquedas facetadas y la generación de contextos documentales y personales para una determinada información.

GNOSS provee a las personas, grupos y organizaciones de las herramientas necesarias para crear y desplegar su identidad digital; conectar inteligencias; crear comunidades basadas en sus intereses y motivaciones; y activar robustos procesos de creatividad, inteligencia, deliberación y pensamiento colectivo.

Últimas novedades de GNOSS: http://noticias.gnoss.com

Dataset created under the Connecting Europe Facility of the European Union programme, VARIOT project TENtec n. 28263632. Developed by the Intelligent Systems for Industrial Systems group supported by the Department of Education, Language policy and Culture of the Basque Government.

This dataset comprises Smarter Coffee 2nd Generation Iot device network traffic and different features under normal operation mode.

• Device description: Smarter Coffee 2nd Generation is a revolutionary new coffee machine that gives you fresh coffee at the touch of a button, remotely from anywhere in the home.

• Infection type: None