Universidad Carlos III de Madrid

Repositorio de Datos de la UC3M

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

6,391 to 6,400 of 7,277 Results

FLD_NL2Z_code.txt Dec 2, 2021 - MAK_KEN_NH_NJ_JARM_IJMF_2021 Texto plano - 21,8 KB - MD5: e2af86b41de2a3951a7e98f21f790519 DataDatos
INPUT_DATA.txt Dec 2, 2021 - MAK_KEN_NH_NJ_JARM_IJMF_2021 Texto plano - 2,6 KB - MD5: 3f81295d3a13102b10c146a14cb9757d DataDatos
Majorneckingstrain_vs_Wavelength_LSA.txt Dec 2, 2021 - MAK_KEN_NH_NJ_JARM_IJMF_2021 Texto plano - 33,4 KB - MD5: e0b7d25ae3476debec54d8df875ae3df DataDatos
Majorneckingstrain_vs_wavelength_NL2Z.txt Dec 2, 2021 - MAK_KEN_NH_NJ_JARM_IJMF_2021 Texto plano - 18,3 KB - MD5: 354ec479842ee57102ee65f9410db447 DataDatos
MAK_KEN_NH_NJ_JARM_IJMF_2021_readme.txt Dec 2, 2021 - MAK_KEN_NH_NJ_JARM_IJMF_2021 Texto plano - 3,6 KB - MD5: 9d0e85ee7602d6f02edf35dd70532e2b DocumentaciónDocumentation
Dataset used in "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service" Nov 11, 2021 Serrano, Pablo; Gramaglia, Marco; Mancini, Francesco; Chiaraviglio, Luca; Bianchi, Giuseppe, 2021, "Dataset used in "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service"", https://doi.org/10.5281/ZENODO.5676212 This dataset was used for the paper "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service" It is composed of three different files, identifying three different case studies Peru, Puerto Rico, and Kenya Once uncompressed, the files are stored in parquet format. They can be analyzed using e.g. pyspark with the... Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" Nov 3, 2021 - Grupo de Comunicaciones (GCOM) López Morales, Manuel José, 2021, "Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM"", https://doi.org/10.21950/DM47HJ, e-cienciaDatos, V1 The dataset contains all the figures present in the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" in .fig format, so they can be opened and used for comparison purposes.
2021-11-03_Hybrid-Coherent-And-Non-Coherent_Lopez-Morales-Manuel-Jose_figure-3-Matlab.fig Nov 3, 2021 - Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" Figura MATLAB - 40,5 KB - MD5: 64ae402e332469a6422af21cc05624eb DataDatos
2021-11-03_Hybrid-Coherent-And-Non-Coherent_Lopez-Morales-Manuel-Jose_figure-4-Matlab.fig Nov 3, 2021 - Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" Figura MATLAB - 69,8 KB - MD5: db3df04ea401133f418c87177a9f6f1f DataDatos
2021-11-03_Hybrid-Coherent-And-Non-Coherent_Lopez-Morales-Manuel-Jose_figure-5-Matlab.fig Nov 3, 2021 - Matlab Figures of the article "Differential Data-Aided Channel Estimation for Up-Link Massive SIMO-OFDM" Figura MATLAB - 41,3 KB - MD5: ea95e73edff5f218a4dfc1265b6d10b4 DataDatos

FLD_NL2Z_code.txt