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111 to 120 of 3,853 Results
PHYTMO database
May 22, 2025
García-de-Villa, Sara; Jiménez Martín, Ana; García Domínguez, Juan Jesús, 2024, "PHYTMO database", https://doi.org/10.21950/7YRNMV, e-cienciaDatos, V2
Database of physical therapy exercises with variability of execution collected by wearable sensors. The PHYTMO database contains data from physical therapy exercises and gait variations recorded with magneto-inertial sensors, including information from an optical reference system. It includes the recording of 30 volunteers, aged between 20 and 70 y...
Readme-en_Phytmo_Garcia.txt
May 22, 2025 - PHYTMO database
Texto plano - 7,8 KB - MD5: 1fb9ae2e7aa343edb684b0c669b34c76
Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors
May 8, 2025 - Universidad Autónoma de Madrid
ROMANO MOZO, MANUELA; Porto, M Dolores, 2025, "Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors", https://doi.org/10.21950/KAVWY9, e-cienciaDatos, V1
The project’s main aim is to analyze WAVE and TIDE metaphors in four countries (USA, Spain, France and Italy) undergoing elections in 2022 and 2023. To this aim, a of all ideological stances and analyzed for their frequencies, collocations, mappings, elaborations and evaluative meanings. The dataset includes 200 news items, collected from digital m...
Dataset_WavesandTides.tab
May 8, 2025 - Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors
Tabular Data - 5,1 KB
DataDatos
readme.txt
May 8, 2025 - Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors
Texto plano - 3,0 KB - MD5: d3ff983c1745de20d6d75e2700c41ff8
DocumentaciónDocumentation
Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022
May 8, 2025 - Universidad Autónoma de Madrid
ROMANO MOZO, MANUELA; Porto, M Dolores, 2025, "Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022", https://doi.org/10.21950/PHHHVQ, e-cienciaDatos, V1
The project’s main aim is to analyze the way in which the word 'polarisation' is used in a corpus of news items collected from four widely read mainstream newspapers, two Spanish and two British, all of them containing the word polarización/polarisation and published in 2022. The dataset includes 340 news items, collected from digital media 2022.
Dataset_Keywords.tab
May 8, 2025 - Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022
Tabular Data - 8,7 KB
DataDatos
readme.txt
May 8, 2025 - Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022
Texto plano - 3,1 KB - MD5: 1ab48ccc4b6675a3e2b830a0092581a7
DocumentaciónDocumentation
Sample newspaper headlines and images on the Syrian refugee crisis in 2016 in two European newspapers, The Guardian from the UK and El País from Spain.
May 8, 2025 - Universidad Autónoma de Madrid
ROMANO MOZO, MANUELA; Porto, M Dolores, 2025, "Sample newspaper headlines and images on the Syrian refugee crisis in 2016 in two European newspapers, The Guardian from the UK and El País from Spain.", https://doi.org/10.21950/BBLD4I, e-cienciaDatos, V1
The project’s main aim is to analyze the multimodal representation of the Syrian refugee crisis in 2016 in two European newspapers, The Guardian from the UK and El País from Spain, in order to unveil which strategies are used, both in headlines and photos, to construe a specific conceptualization of the two opposing groups involved, European citize...
Dataset_FramingConflict_2021.xlsx
May 8, 2025 - Sample newspaper headlines and images on the Syrian refugee crisis in 2016 in two European newspapers, The Guardian from the UK and El País from Spain.
Hoja de cálculo MS Excel - 25,0 KB - MD5: dec9b1d302eab8b60fae2038b33bbd2b
DataDatos
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