Resultados totales (Incluyendo duplicados): 4
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CORA.Repositori de Dades de Recerca
doi:10.34810/data19
Dataset. 2018

BUILDINGS ENERGY DEMAND

  • Cañigueral Maurici, Marc
  • Torrent-Fontbona, Ferran
  • Meléndez i Frigola, Joaquim

The dataset consists on two files. One, called “demand”, which describes the active power demand from 10 different households, in Watts units and hourly resolution. And other, called “generation”, which describes the solar generation considering the current installed PV (photovoltaic) power in each household, in Watts units and hourly resolution. The total peak power installed is 30.5 kWp (Kilowatt-Pico).

Energy consumption profiles from file 'demand.csv' correspond to the same households than the energy production profiles from file 'generation.csv'. For example, 'C1' column in 'demand.csv' and 'G1' column in 'generation.csv' correspond to consumption and generation profiles from Household 1, respectively.

The demand dataset was provided by the DSO (Distribution System Operator). No collection/generation work done by the researchers.The solar generation profile was download from PVGIS (Photovoltaic Geographical Information System) portal, considering the location and the installed peak power of each household.

The study multiplies the data profiles (demand and generation) from the Dataset by different factors according to the scenario. Not other preprocessing than scaling the data.

The date have been produced 2018-07-01.


Proyecto: //
DOI: https://doi.org/10.34810/data19
CORA.Repositori de Dades de Recerca
doi:10.34810/data19
HANDLE: https://doi.org/10.34810/data19
CORA.Repositori de Dades de Recerca
doi:10.34810/data19
PMID: https://doi.org/10.34810/data19
CORA.Repositori de Dades de Recerca
doi:10.34810/data19
Ver en: https://doi.org/10.34810/data19
CORA.Repositori de Dades de Recerca
doi:10.34810/data19

CORA.Repositori de Dades de Recerca
doi:10.34810/data478
Dataset. 2018

TIMBRE CLASSIFICATION EXPERIMENTS

  • Ó Nuanáin, Cárthach
This repository contains datasets and scripts for timbre classification experiments conducted as part the Ph.D. thesis. Two datasets were used. The first one concentrates on drum/percussion sounds while the other generalises to orchestral sounds. See the relevant iPython notebooks to re-run experiments. The orchestral sample is quite large, there is a script that pulls N number samples randomly in the folder, for performing smaller analyses. Each episode directory contains word-level and segment-level information of the whole episode and also parallel samples extracted under segments_eng and segments_spa subdirectories. Each sample is stored as an WAV audio file, text file and a CSV file containing word timing information and word-level paralinguistic and prosodic features.

Proyecto: //
DOI: https://doi.org/10.34810/data478
CORA.Repositori de Dades de Recerca
doi:10.34810/data478
HANDLE: https://doi.org/10.34810/data478
CORA.Repositori de Dades de Recerca
doi:10.34810/data478
PMID: https://doi.org/10.34810/data478
CORA.Repositori de Dades de Recerca
doi:10.34810/data478
Ver en: https://doi.org/10.34810/data478
CORA.Repositori de Dades de Recerca
doi:10.34810/data478

CORA.Repositori de Dades de Recerca
doi:10.34810/data485
Dataset. 2018

FLABASE: A FLAMENCO KNOWLEDGE BASE

  • Oramas, Sergio
FlaBase (Flamenco Knowledge Base) is the acronym of a new knowledge base of flamenco music. Its ultimate aim is to gather all available online editorial, biographical and musicological information related to flamenco music. A first version is just being released. Its content is the result of the curation and extraction processes. FlaBase is stored in JSON format, and it is freely available for download. This first release of FlaBase contains information about 1,102 artists, 74 palos (flamenco genres), 2,860 albums, 13,311 tracks, and 771 Andalusian locations. Data was compiled and curated from different sources: Wikipedia, DBpedia, Andalucia.org, elartedevivirelflamenco.com, MusicBrainz, flun.cica.es/index.php/grabaciones/base-datos-grabaciones and juntadeandalucia.es/institutodeestadisticaycartografia/sima

Proyecto: //
DOI: https://doi.org/10.34810/data485
CORA.Repositori de Dades de Recerca
doi:10.34810/data485
HANDLE: https://doi.org/10.34810/data485
CORA.Repositori de Dades de Recerca
doi:10.34810/data485
PMID: https://doi.org/10.34810/data485
CORA.Repositori de Dades de Recerca
doi:10.34810/data485
Ver en: https://doi.org/10.34810/data485
CORA.Repositori de Dades de Recerca
doi:10.34810/data485

CORA.Repositori de Dades de Recerca
doi:10.34810/data523
Dataset. 2018

HOME-TO-SCHOOL PEDESTRIAN MOBILITY GPS DATA FROM A CITIZEN SCIENCE EXPERIMENT IN THE BARCELONA AREA

  • Larroya Paixà, Ferran
  • Perelló, Josep, 1974-
This data-set contains high resolution GPS records from a single day home-to-school pedestrian mobility of 10 schools in the Barcelona Metropolitan Area (Spain). The experiment for data acquisition took place in November 2018. The data-set provides pedestrian mobility from an age-homogeneous group of people and is particularly valuable to bring insights in an urban microscopic level and can characterize micro-mobility patterns and pedestrians’ micro-motives. The study shares processed records with specific filtering, cleaning, and interpolation procedures (83 individual journeys and 41,053 GPS records) that can facilitate and accelerate data usage. Citizen science practices were employed during the whole research process (co-design, crowd-sourced protocols for the experiment, collective data interpretation and policy recommendations).

Proyecto: //
DOI: https://doi.org/10.34810/data523
CORA.Repositori de Dades de Recerca
doi:10.34810/data523
HANDLE: https://doi.org/10.34810/data523
CORA.Repositori de Dades de Recerca
doi:10.34810/data523
PMID: https://doi.org/10.34810/data523
CORA.Repositori de Dades de Recerca
doi:10.34810/data523
Ver en: https://doi.org/10.34810/data523
CORA.Repositori de Dades de Recerca
doi:10.34810/data523

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