Universidad de Alcalá

Encuesta satisfacción e-cienciaDatos

e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas

Estamos comprometidos con la mejora de nuestro servicio. Conocer mejor sus expectativas nos ayudará a adaptar nuestros servicios a sus necesidades.

Si desea colaborar con nosotros, seleccione su institución para comenzar la encuesta.

Gracias por su colaboración.

UAH UAM UC3M UNED UPM URJC

Ninguna de las anteriores

Recordármelo más tarde | No volver a mostrar este mensaje

Repositorio de Datos de la UAH

Dataverses destacados

Para usar esta funcionalidad ha de tener publicado o enlazado al menos un dataverse.

Publicar dataverse

¿Está seguro de que quiere publicar su dataverse? Una vez hecho esto, deberá permanecer publicado.

Publicar dataverse

Este dataverse no puede publicarse porque el dataverse al que pertenece no se ha publicado.

Eliminar dataverse

¿Está seguro de que quiere eliminar este dataverse? No podrá recuperarlo.

461 a 470 de 3.822 Resultados

Zim MMP-9 LNCaP-01.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 84,5 KB - MD5: edc449d4587b8ba81415eb3581b3949f
Zim MMP-9 LNCaP-02.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 92,0 KB - MD5: f7d2cfb1f8b03cf19cb1da549f35a2c4
Zim MMP-9 PC3-01.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 108,9 KB - MD5: 364434e32a8c98916124eaec803f81ab
Zim MMP-9 y MMP-2 LNCaP-03.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 103,5 KB - MD5: c8debb7e59e3b22543aee7f61f3de770
Zim MMP-9 y MMP-2 LNCaP-04.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 97,6 KB - MD5: d2072a7e8a30df909e0487e9d8ce0fb3
Zim MMP-9 y MMP-2 PC3-02.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 114,8 KB - MD5: 607851ad6d1d4c484d5075e1a8639855
Zim MMP-9 y MMP-2 PC3-03.jpg 7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients. Imagen JPEG - 106,0 KB - MD5: edfc20712e34e6fe9bf74b02c1b6d746
Remote sensing Images for Road networks 7 feb 2024 Cardim, Guilherme Pina; Bravo, Ignacio, 2026, "Remote sensing Images for Road networks", https://doi.org/10.5281/ZENODO.10631086 This dataset has been used in the work: "Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing" with this open access link: https://doi.org/10.3390/RS10040620 Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019. 6 feb 2024 - BURNED AREA REFERENCE DATABASE (BARD) Gonzalez-Ibarzabal, Jon; Bastarrika, Aitor; Franquesa Fuentetaja, Magi; Rodriguez-Montellano, Armando, 2023, "RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019.", https://doi.org/10.21950/GZU7II, e-cienciaDatos, V2 The reference dataset RP_LAC_2019_S2 was obtained from S2 images over a set of 56 mosaics (sampling units) sampled following a custom design for the Sentinel mosaic grid system and to represent both major fire regimes and regimes with lower burned area of Latin America and Caribb...
readme_RPv2.txt 6 feb 2024 - RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019. Texto plano - 6,2 KB - MD5: 1e0f7d9a5373633c0900b3f036c2e93b

Zim MMP-9 LNCaP-01.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 84,5 KB -

Zim MMP-9 LNCaP-02.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 92,0 KB -

Zim MMP-9 PC3-01.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 108,9 KB -

Zim MMP-9 y MMP-2 LNCaP-03.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 103,5 KB -

Zim MMP-9 y MMP-2 LNCaP-04.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 97,6 KB -

Zim MMP-9 y MMP-2 PC3-02.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 114,8 KB -

Zim MMP-9 y MMP-2 PC3-03.jpg

7 feb 2024 - Induction of more aggressive tumoral phenotypes in LNCaP and PC3 cells by serum exosomes from prostate cancer patients.

Imagen JPEG - 106,0 KB -

Remote sensing Images for Road networks

7 feb 2024

Cardim, Guilherme Pina; Bravo, Ignacio, 2026, "Remote sensing Images for Road networks", https://doi.org/10.5281/ZENODO.10631086

This dataset has been used in the work: "Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing" with this open access link: https://doi.org/10.3390/RS10040620

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

RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019.

6 feb 2024 - BURNED AREA REFERENCE DATABASE (BARD)

Gonzalez-Ibarzabal, Jon; Bastarrika, Aitor; Franquesa Fuentetaja, Magi; Rodriguez-Montellano, Armando, 2023, "RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019.", https://doi.org/10.21950/GZU7II, e-cienciaDatos, V2

The reference dataset RP_LAC_2019_S2 was obtained from S2 images over a set of 56 mosaics (sampling units) sampled following a custom design for the Sentinel mosaic grid system and to represent both major fire regimes and regimes with lower burned area of Latin America and Caribb...

readme_RPv2.txt

6 feb 2024 - RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019.

Texto plano - 6,2 KB -

Añadir datos

Necesita identificarse para crear un dataverse o añadir un dataset.

Iniciar sesión

Compartir dataverse

Enlace al dataverse

Reiniciar modificaciones