Resultados totales (Incluyendo duplicados): 45653
Encontrada(s) 4566 página(s)
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OBYUCV
Dataset. 2020

ACOUSTIC IMPULSE RESPONSE FOR THE DETECTION OF INTERNAL QUALITY IN SEEDLESS WATERMELON

  • Diezma Iglesias, Belén
  • Barreiro Elorza, Pilar
  • Ruiz Altisent, Margarita

Recent commercialisation of seedless watermelon varieties relies on the guarantee of a high quality product. Several internal defects may deteriorate greatly this fruit: (a) creases and/or large voids in the flesh, (b) overripeness and (c) bruises due to impact. The objective of this research was to develop a feasible non-destructive procedure for detecting these defects in individual fruits, based on acoustic impulse response.

A device consisting of a microphone, structural elements and a mechanical impact generator was designed and tested. Good and defective seedless watermelons were tested with the acoustic device. Spectral parameters were examined as potential non-destructive predictors of internal disorders. Waveband magnitude parameters, obtained by summing the magnitude of the spectrum between two frequencies in a specified band width (always including between 40 and 500 Hz), were the acoustic parameters showing the best ability to detect internal disorders.

Dataset description

The acoustic response of 158 watermelons measured by hitting the fruit with an impactor and detecting the output sound by a microphone on the opposite side and 90º (as referred in derived publication and PhD thesis, see further details in this file)

Metodology

Each watermelon was acoustically excited on two positions, both around the equator and rotated 908. Nine measurements, divided in groups of three repetitions for the same location, together with three locations were performed at each position, therefore 18 measurements in each fruit. Positions identify the different areas of fruit where the impact is applied, locations indicate that the fruit is taken and relocated on the same position after some time, and repetitions refer to repeated data taken without changing or touching the fruit.

Acoustic measurements were taken with a device designed and tested by consecutive phases of approximation to the final solution. The laboratory recording system used to acquire the acoustic impulse information is comprised a prepolarised free-field 12mm microphone type 4189 B&K, of a frequency range from 6 3 to 20 kHz and a sensitivity of 50mVPa 1. A signal conditioning amplifier NEXUS B&K supplied power and provided electrical loading to the transducer, amplified the signal, provided appropriate output drive signal and facilitated the selection of the optimum band-pass filters. A microphone preamplifier type 2673 B&K completed the recording system. The preamplifier amplified the signal from the microphone.

A user friendly Windows-based software, ‘SanSon 1 2’, was developed for the control of the process and the register of data, providing an easy output to be used with Microsoft Excel. The software shows in the screen the acoustic signal ‘time versus intensity’ for each test, and saves it in an ASCII file.

A fast Fourier transform (FFT) of the signal was performed to determine the frequency spectrum, and subsequently, the natural frequencies of the watermelons. Sampling at 40 kHz for 4096 points results in a frequency resolution for the FFT of 9 766 Hz. A normalised spectrum was obtained by dividing the magnitude at each frequency by the maximum magnitude of the spectrum (see publication). Different acoustic parameters were evaluated for spectral characterisation: resonant frequency, maximum amplitude of the spectrum and band magnitude (BM) of the acoustic spectrum. The frequency resolution for the spectrum (9 766 Hz) is not very narrow. Therefore it is difficult to obtain a good segregation based on the resonant frequency, unless higher differences than the resolution occur between hollow and sound watermelons. This handicap may be overcome by defining the integral in the spectrum or BMs.


DOI: https://doi.org/10.21950/OBYUCV
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OBYUCV
HANDLE: https://doi.org/10.21950/OBYUCV
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OBYUCV
PMID: https://doi.org/10.21950/OBYUCV
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OBYUCV
Ver en: https://doi.org/10.21950/OBYUCV
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OBYUCV

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCJJPN
Dataset. 2024

DIÁLOGOS CON JULIA LEÓN Y GERMINAL REBULL. POR ELIA ROMERA-FIGUEROA

  • Romera Figueroa, Elia

Las entrevistas a Julia León y a Germinal Rebull (hijo de Teresa Rebull) forman parte de un proyecto de investigación entorno a la canción de autor/a ibérica entre 1952 y 1986. Las entrevistas y la correspondencia abordan temas entorno a la lucha antifranquista, la segunda ola del feminismo ibérico y las relaciones personales entre cantantes de diferentes partes de España.

Entrevista a la cantautora Julia León tras encuentros en Madrid en 2019 y 2020 y correspondencia con Germinal Rebull (familia de Teresa Rebull) entre 2020 y 2021.


DOI: https://doi.org/10.21950/OCJJPN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCJJPN
HANDLE: https://doi.org/10.21950/OCJJPN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCJJPN
PMID: https://doi.org/10.21950/OCJJPN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCJJPN
Ver en: https://doi.org/10.21950/OCJJPN
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCJJPN

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCSRBX
Dataset. 2016

TRANSIENT STABILITY CONSTRAINED OPTIMAL POWER FLOW GAMS MODEL GENERATOR ON PYTHON

  • Ledesma Larrea, Pablo
Transient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator dq-axis model. Program write_tscopf.py automatically reads the system data from standard PSSE raw files, builds the TSCOPF model tscopf.gms on high-level modelling system GAMS and solves it using a non-heuristic Interior Point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. Data for the New England 39 Bus System and the IEEE 118 Bus system are included.

DOI: https://doi.org/10.21950/OCSRBX
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCSRBX
HANDLE: https://doi.org/10.21950/OCSRBX
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCSRBX
PMID: https://doi.org/10.21950/OCSRBX
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCSRBX
Ver en: https://doi.org/10.21950/OCSRBX
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OCSRBX

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/ODLGBL
Dataset. 2023

MARÍA Y VENTURA (SAN BENITO DE LA CONTIENDA). TRABAJOS DEL CAMPO. PLANTAS Y ANIMALES

  • Álvarez Pérez, Xosé Afonso (coord.)
El informante Ventura fue carbonero. Principales trabajos del campo. Tipos de árboles antes y ahora (repueblan con encinas). Árboles frutales. Olivares. No se hacía vino. La matanza solo la hacían las personas más pudientes, aunque progresivamente se fue generalizando. Ganado caprino, ovino y vacuno., O informante Ventura era carvoeiro. Principais empregos no campo. Tipos de árvores de então e agora (repovoadas com azinheiras). Árvores de fruto. Olivais. Não se fazia vinho. A matança só era praticada pelas pessoas mais ricas, embora gradualmente se tenha tornado mais generalizada. Caprinos, ovinos e bovinos., The informant Ventura was a charcoal maker. Main jobs in the countryside. Types of trees then and now (repopulated with holm oaks). Fruit trees. Olive groves. No wine was made. Slaughtering was only done by the wealthiest people, although it gradually became more widespread. Goats, sheep and cattle.

DOI: https://doi.org/10.21950/ODLGBL
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/ODLGBL
HANDLE: https://doi.org/10.21950/ODLGBL
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/ODLGBL
PMID: https://doi.org/10.21950/ODLGBL
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/ODLGBL
Ver en: https://doi.org/10.21950/ODLGBL
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/ODLGBL

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OF9HHW
Dataset. 2018

FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE : CYPRUS

  • Federico, Giovanni
  • Tena Junguito, Antonio
Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Cyprus

DOI: https://doi.org/10.21950/OF9HHW
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OF9HHW
HANDLE: https://doi.org/10.21950/OF9HHW
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OF9HHW
PMID: https://doi.org/10.21950/OF9HHW
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OF9HHW
Ver en: https://doi.org/10.21950/OF9HHW
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OF9HHW

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OFQJMY
Dataset. 2018

GLORIA FERNANDES (PITÕES). SER HUMANO = HUMAN BEING

  • Álvarez Pérez, Xosé Afonso (coord.)
Entrevista a Maria da Glória Fernandes en Pitões. Partes del cuerpo. La familia y el parentesco. El matrimonio. Las escuelas, antes y ahora. La emigración. Fiestas de la localidad., Partes do corpo. A família e o parentesco. Os namorados. O casamento. As escolas, antes e agora. A emigração. As festas da localidade., Parts of the body. Family and kinship. Fiancés and marriage. The school, now and in the past decades. Emigration. Patronal feasts.

DOI: https://doi.org/10.21950/OFQJMY
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OFQJMY
HANDLE: https://doi.org/10.21950/OFQJMY
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OFQJMY
PMID: https://doi.org/10.21950/OFQJMY
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OFQJMY
Ver en: https://doi.org/10.21950/OFQJMY
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OFQJMY

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OGPYF5
Dataset. 2023

FEDERICO-TENA WORLD POPULATION HISTORICAL DATABASE : SAINT BARTHÉLEMY (NORWEGIAN COLONIES)

  • Federico, Giovanni
  • Tena Junguito, Antonio
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Saint Barthélemy (Norwegian colonies)

DOI: https://doi.org/10.21950/OGPYF5
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OGPYF5
HANDLE: https://doi.org/10.21950/OGPYF5
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OGPYF5
PMID: https://doi.org/10.21950/OGPYF5
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OGPYF5
Ver en: https://doi.org/10.21950/OGPYF5
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OGPYF5

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OHSTZU
Dataset. 2024

INTERVIEW IN SPAIN 15

  • Santander Oliván, Mario

The reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive China.

This dataset consists of a semi-structured interview with a person of Chinese nationality, carried out in Chinese and transcribed in Chinese language.


DOI: https://doi.org/10.21950/OHSTZU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OHSTZU
HANDLE: https://doi.org/10.21950/OHSTZU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OHSTZU
PMID: https://doi.org/10.21950/OHSTZU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OHSTZU
Ver en: https://doi.org/10.21950/OHSTZU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OHSTZU

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIGFJU
Dataset. 2024

ABSELL-FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE 1948-2020 : MEXICO

  • Absell, Christopher
  • Federico, Giovanni
  • Tena Junguito, Antonio
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Mexico

DOI: https://doi.org/10.21950/OIGFJU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIGFJU
HANDLE: https://doi.org/10.21950/OIGFJU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIGFJU
PMID: https://doi.org/10.21950/OIGFJU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIGFJU
Ver en: https://doi.org/10.21950/OIGFJU
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIGFJU

e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIJ6VF
Dataset. 2018

FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE : ETHIOPIA

  • Federico, Giovanni
  • Tena Junguito, Antonio
Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Ethiopia

DOI: https://doi.org/10.21950/OIJ6VF
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIJ6VF
HANDLE: https://doi.org/10.21950/OIJ6VF
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIJ6VF
PMID: https://doi.org/10.21950/OIJ6VF
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIJ6VF
Ver en: https://doi.org/10.21950/OIJ6VF
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
doi:10.21950/OIJ6VF

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