e-cienciaDatos web Survey
e-cienciaDatos is the research data repository of the Consorcio Madroño Universities. It is a member of the Harvard Dataverse Network, suitable for major publishers (Elsevier, Springer, etc.). It is H2020 compliant.
We are committed to improving our service. Better understanding your expectations will help us tailor our services to your needs.
Please, select your institution to participate in this survey.
Thank you for your kind cooperation.
1 to 10 of 1,402 Results
Oct 10, 2024 - Universidad de Alcalá
María Jesús Ferrnández-Gil; Luisa Juárez-Hervás; Lorena Silos Ribas; Israel Doncel Martín, 2024, "Catálogo HORES. El Holocausto y su representación en España", https://doi.org/10.21950/XIXCUL, e-cienciaDatos, V1
Este dataset permite localizar todas las creaciones artísticas y culturales de autoría española vinculadas al Holocausto desde 1933 hasta el 2024, e identificarlas según su tipología, su fecha de creación, el idioma, la institución promotora o su autor/a. |
Oct 10, 2024 - Universidad Politécnica de Madrid
Gil Martín, Manuel; Marini, Marco Raoul; San Segundo Hernández, Rubén; Cinque, Luigi, 2024, "Multi-view Leap2 Hand Pose Dataset", https://doi.org/10.21950/ZKWE6Z, e-cienciaDatos, V2
-------------------------- DESCRIPTION -------------------------- 1. Dataset description Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset) is a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This data... |
Federico, Giovanni; Tena Junguito, Antonio, 2024, "Federico-Tena World Population Historical Database : Cayman Islands", https://doi.org/10.21950/UZ3QUA, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Cayman Islands |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : List of Polities (World countries)", https://doi.org/10.21950/3SK54X, e-cienciaDatos, V3
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: List of Polities (World countries) |
|
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : America", https://doi.org/10.21950/NAEF8A, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: America |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Leeward Islands (Anguilla, L.I Antigua, L.I Dominica, L.I St. Christopher, Montserrat, St. Kitts & Nevis, Virgin Island)", https://doi.org/10.21950/IMTT9J, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Leeward Islands (Anguilla, L.I Antigua, L.I Dominica, L.I St. Christopher, Montserrat, St. Kitts & Nevis, Virgin Island) |
Martín-Pérez, Alberto; Villa Romero, Manuel; Rosa Olmeda, Gonzalo; Sancho Aragón, Jaime; Vázquez Valle, Guillermo; Urbanos García, Gemma; Martínez de Ternero Ruíz, Alejandro; Chavarrias Lapastora, Miguel; Jimenez-Roldan, Luis; Perez-Nuñez, Angel; Lagares, Alfonso; Juárez Martínez, Eduardo; Sanz Álvaro, César, 2024, "SLIMBRAIN Database: A Multimodal Image Database of In-vivo Human Brains for Tumor Detection.", https://doi.org/10.21950/LAUR3D, e-cienciaDatos, V2
Project Description Hyperspectral imaging and machine learning have been employed in the medical field for classifying highly infiltrative brain tumors. Although existing HSI databases of in-vivo human brains are available, they present two main deficiencies. Firstly, the amount... |
Sep 27, 2024 - Rey-Osterrieth Complex Figure (ROCF) Test Assessment
Juan Guerrero Martín; Alba Gómez-Valadés Batanero; Estela Díaz López; Margarita Bachiller Mayoral; José Manuel Cuadra Troncoso; Rafael Martínez Tomás; Sara García Herranz; María del Carmen Díaz Mardomingo; Herminia Peraita Adrados; Mariano Rincón Zamorano, 2024, "Rey-Osterrieth Complex Figure dataset (grayscale images) / Conjunto de datos de figuras complejas de Rey-Osterrieth (imágenes en escala de grises)", https://doi.org/10.21950/AFZIXE, e-cienciaDatos, V1
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... |
Sep 27, 2024 - Rey-Osterrieth Complex Figure (ROCF) Test Assessment
Juan Guerrero Martín; Alba Gómez-Valadés Batanero; Estela Díaz López; Margarita Bachiller Mayoral; José Manuel Cuadra Troncoso; Rafael Martínez Tomás; Sara García Herranz; María del Carmen Díaz Mardomingo; Herminia Peraita Adrados; Mariano Rincón Zamorano, 2024, "Rey-Osterrieth Complex Figure dataset (binary images) / Conjunto de datos de figuras complejas de Rey-Osterrieth (imágenes binarias)", https://doi.org/10.21950/OODYTG, e-cienciaDatos, V1
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... |
Sep 27, 2024 - Rey-Osterrieth Complex Figure (ROCF) Test Assessment
Juan Guerrero Martín; Alba Gómez-Valadés Batanero; Estela Díaz López; Margarita Bachiller Mayoral; José Manuel Cuadra Troncoso; Rafael Martínez Tomás; Sara García Herranz; María del Carmen Díaz Mardomingo; Herminia Peraita Adrados; Mariano Rincón Zamorano, 2024, "Subset of Quick, Draw! dataset for neural network pre-training / Subconjunto del conjunto de datos Quick, Draw! para pre-entrenamiento de redes neuronales", https://doi.org/10.21950/GWO9RA, e-cienciaDatos, V1
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... |
