Universidad de Alcalá

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441 to 450 of 3,857 Results

Replication Data for: African bovid tribe classification using transfer learning and computer vision Oct 24, 2024 Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: African bovid tribe classification using transfer learning and computer vision", https://doi.org/10.7910/DVN/TMLXGW Image data set of African bovid teeth used for classification of tribe through computer vision. \| The original image data set was published in: Brophy, J.K., Matthews, G.J. Reference database of teeth images from the Family Bovidae. Sci Data 9, 396 (2022). https://doi.org/10.1038/s41597-022-01501-4 Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Replication Data for: TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION. Oct 24, 2024 Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION.", https://doi.org/10.7910/DVN/77MZDL A comparison of geometric morphometric methods and computer vision methods to identify carnivore agency in bone surface modifications \| submitted to Quaternary Science Advances Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Cacao Farmers Tumaco.xlsx Oct 23, 2024 - Cacao Farmers Tumaco Hoja de cálculo MS Excel - 23,4 KB - MD5: 52efc69b97430ed1603e351ef611d30a
Replication Data for: Distinguishing Discoid and Centripetal Levallois methods through machine learning Oct 22, 2024 González-Molina, Irene; Jiménez-García, Blanca; Maíllo-Fernández, José-Manuel; Baquedano, Enrique; Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: Distinguishing Discoid and Centripetal Levallois methods through machine learning", https://doi.org/10.7910/DVN/T8SEC2 Database and R code used in the Research Article "Distinguishing Discoid and Centripetal Levallois methods through machine learning". We applied Machine Learning (ML) algorithms to study the differences between Discoid and Centripetal Levallois methods. For this purpose, we have used experimentally knapped flint flakes, measuring several parameters... Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Replication data for "Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications" Oct 22, 2024 Domínguez-Rodrigo, Manuel, 2026, "Replication data for "Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications"", https://doi.org/10.7910/DVN/62BRBP Image data set for the paper: https://doi.org/10.1038/s41598-020-75994-7 Key: SF= cut marks; LS= tooth marks; tmp= trampling marks. Total images= 488 cut marks, 106 tooth marks and 63 trampling marks Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
On The Size of Sheepskin Effects: A Meta-Analysis Oct 21, 2024 Mora Rodríguez, Jhon James; Muro, Juan, 2026, "On The Size of Sheepskin Effects: A Meta-Analysis", https://doi.org/10.7910/DVN/E6BISV The authours use information gathered from 122 studies on the effects of high school diplomas on wages in different countries worldwide to carry out a meta-analysis that shows high school diplomas have a statistically significant effect on wages of nearly 8%. This effect varies whether the country is away from the tropics or whether factors such as... Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
DATARQUIFAUR Oct 18, 2024 García Triviño, Francisco Antonio (Investigador principal); Gómez Sal, Antonio; Quesada López, Fernando; Belliure Ferrer, Josabel; Aguilera Benavente, Francisco; Montes Espín, Rosalina; Sánchez Coterón, Lara; Díaz Aranda, Luisa María; Ballesteros Mateos, Víctor; Rebollo de la Torre, Salvador; Cisneros Azpiazu, Ainara; González Torremocha, Ana; Álvarez, Paula Valeria; López-Galiacho Álvarez, Emilio, 2024, "DATARQUIFAUR", https://doi.org/10.21950/YLYVQC, e-cienciaDatos, V3 Información básica generada por el proyecto de investigación ARQUIFAUR haciendo uso de los datos registrados en colaboración con la ciudadanía que formó parte del proyecto, durante el laboratorio ciudadano CRAI Ciudadan@. Proyecto de investigación que explora y registra las aves que habitan la ciudad histórica de Alcalá en función de los servicios...
ARQUIFAUR_Resultados_Laboratorio_CRAICiudadana.pdf Oct 18, 2024 - DATARQUIFAUR Adobe PDF - 1,4 MB - MD5: b9708de6e9f1aec8da5e2d67d2afafdc
Agri-food preferences questionnaire Q sort 2023 Oct 18, 2024 De-Lucio Fernández, José Vicente, 2024, "Agri-food preferences questionnaire Q sort 2023", https://doi.org/10.21950/BXAESY, e-cienciaDatos, V1 Ordenaciones Q de preferencias agroalimentarias: Ranking of 25 statement Q-method survey amongst 39 agroecological stakeholders. Fichero excel con valores de posición de preferencia en la ordenación Q
Data Qsort Agroecology.tab Oct 18, 2024 - Agri-food preferences questionnaire Q sort 2023 Tabular Data - 2,7 KB

Replication Data for: African bovid tribe classification using transfer learning and computer vision

Oct 24, 2024

Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: African bovid tribe classification using transfer learning and computer vision", https://doi.org/10.7910/DVN/TMLXGW

Image data set of African bovid teeth used for classification of tribe through computer vision. | The original image data set was published in: Brophy, J.K., Matthews, G.J. Reference database of teeth images from the Family Bovidae. Sci Data 9, 396 (2022). https://doi.org/10.1038/s41597-022-01501-4

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Replication Data for: TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION.

Oct 24, 2024

Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION.", https://doi.org/10.7910/DVN/77MZDL

A comparison of geometric morphometric methods and computer vision methods to identify carnivore agency in bone surface modifications | submitted to Quaternary Science Advances

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Cacao Farmers Tumaco.xlsx

Oct 23, 2024 - Cacao Farmers Tumaco

Hoja de cálculo MS Excel - 23,4 KB -

Replication Data for: Distinguishing Discoid and Centripetal Levallois methods through machine learning

Oct 22, 2024

González-Molina, Irene; Jiménez-García, Blanca; Maíllo-Fernández, José-Manuel; Baquedano, Enrique; Domínguez-Rodrigo, Manuel, 2026, "Replication Data for: Distinguishing Discoid and Centripetal Levallois methods through machine learning", https://doi.org/10.7910/DVN/T8SEC2

Database and R code used in the Research Article "Distinguishing Discoid and Centripetal Levallois methods through machine learning". We applied Machine Learning (ML) algorithms to study the differences between Discoid and Centripetal Levallois methods. For this purpose, we have used experimentally knapped flint flakes, measuring several parameters...

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

Replication data for "Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications"

Oct 22, 2024

Domínguez-Rodrigo, Manuel, 2026, "Replication data for "Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications"", https://doi.org/10.7910/DVN/62BRBP

Image data set for the paper: https://doi.org/10.1038/s41598-020-75994-7 Key: SF= cut marks; LS= tooth marks; tmp= trampling marks. Total images= 488 cut marks, 106 tooth marks and 63 trampling marks

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

On The Size of Sheepskin Effects: A Meta-Analysis

Oct 21, 2024

Mora Rodríguez, Jhon James; Muro, Juan, 2026, "On The Size of Sheepskin Effects: A Meta-Analysis", https://doi.org/10.7910/DVN/E6BISV

The authours use information gathered from 122 studies on the effects of high school diplomas on wages in different countries worldwide to carry out a meta-analysis that shows high school diplomas have a statistically significant effect on wages of nearly 8%. This effect varies whether the country is away from the tropics or whether factors such as...

Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.

DATARQUIFAUR

Oct 18, 2024

García Triviño, Francisco Antonio (Investigador principal); Gómez Sal, Antonio; Quesada López, Fernando; Belliure Ferrer, Josabel; Aguilera Benavente, Francisco; Montes Espín, Rosalina; Sánchez Coterón, Lara; Díaz Aranda, Luisa María; Ballesteros Mateos, Víctor; Rebollo de la Torre, Salvador; Cisneros Azpiazu, Ainara; González Torremocha, Ana; Álvarez, Paula Valeria; López-Galiacho Álvarez, Emilio, 2024, "DATARQUIFAUR", https://doi.org/10.21950/YLYVQC, e-cienciaDatos, V3

Información básica generada por el proyecto de investigación ARQUIFAUR haciendo uso de los datos registrados en colaboración con la ciudadanía que formó parte del proyecto, durante el laboratorio ciudadano CRAI Ciudadan@. Proyecto de investigación que explora y registra las aves que habitan la ciudad histórica de Alcalá en función de los servicios...

ARQUIFAUR_Resultados_Laboratorio_CRAICiudadana.pdf

Oct 18, 2024 - DATARQUIFAUR

Adobe PDF - 1,4 MB -

Agri-food preferences questionnaire Q sort 2023

Oct 18, 2024

De-Lucio Fernández, José Vicente, 2024, "Agri-food preferences questionnaire Q sort 2023", https://doi.org/10.21950/BXAESY, e-cienciaDatos, V1

Ordenaciones Q de preferencias agroalimentarias: Ranking of 25 statement Q-method survey amongst 39 agroecological stakeholders. Fichero excel con valores de posición de preferencia en la ordenación Q

Data Qsort Agroecology.tab

Oct 18, 2024 - Agri-food preferences questionnaire Q sort 2023

Tabular Data - 2,7 KB

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