501 to 510 of 3,861 Results
Feb 7, 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
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Feb 7, 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
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Feb 7, 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
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Feb 7, 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/RS10040620Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Feb 6, 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 Caribbean in the different ecoregions. For each mosaic, S2 time series were... |
Feb 6, 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
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Feb 6, 2024 -
RP_LAC_2019_S2: reference fire perimeters obtained from Sentinel-2 imagery over Latin America and Caribbean for the year 2019.
Archivo RAR - 478,3 MB -
MD5: f9a52c6a04947c557896303becb8c990
The zip/rar file contains four folders:
-metadata: includes a .csv file containing the file name of all the reference files included in the dataset and their associated information and a read.txt file with a description of the fields in the csv file.
-regions: includes a shapefile containing all the sample sites covered by the dataset.
-sampling: i... |
Feb 6, 2024
Bernard, Marianne; Barrere, Julien; Granda, Elena; Benavides, Raquel; Rabasa, Sonia G; Heurich, Marco; Kunstler, Georges, 2026, "Data from "Elevation affects both the occurrence of ungulate browsing and its effect on tree seedling growth for four major tree species in European mountain forests"", https://doi.org/10.5281/ZENODO.10370097
This repository contains the field data used in the paper from Bernard et al. on the interactive effect of elevation and ungulate browsing on tree regeneration. This dataset is associated with a github repository containing the code to run the analyses of the paper, publicly available at https://github.com/jbarrere3/BaccaraPaper. Data were collecte...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Feb 5, 2024
Cristina Suárez; Juan Laborda; Pilar Rivera-Torres; Vicente Salas-Fumas, 2024, "Is there life beyond the Spanish government’s aid to furloughed employees by COVID-19?", https://doi.org/10.21950/HQZY8S, e-cienciaDatos, V1
Se analiza las percepciones de las empresas en abril de 2020 sobre cómo la pandemia de COVID-19 impactaría en su actividad empresarial y las decisiones de empleo esperadas. Utilizando datos recopilados por el Gobierno de Aragón (España) a través de encuestas a empresas de la región, se encontró que las empresas que participaron en el estudio pudier... |
Feb 5, 2024 -
Is there life beyond the Spanish government’s aid to furloughed employees by COVID-19?
Hoja de cálculo MS Excel - 26,1 KB -
MD5: 066556e1aef08954ac2b7654fdd4f790
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