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1,531 to 1,540 of 1,847 Results
Archivo ZIP - 93,4 MB - MD5: 60b9e22dfcd7f5f552ac77feb88e386f
DataDatos
Structural and photophysical characterization of compounds (Raw data). Supplementary material of the paper published in Angewandte Chemie International Edition
Texto plano - 5,0 KB - MD5: 335442be9162042c105fc05b75a2175d
DocumentaciónDocumentation
Feb 28, 2024 - Universidad Autónoma de Madrid
Durán-Sampedro, Gonzalo; Xue, Evelyn Y.; Moreno Simoni, Marta; Paramio, Celia; Torres, Tomás; Dennis K. P. Ng; De la Torre, Gema, 2024, "Glycosylated BODIPY- incorporated Pt(II) metallacycles for targeted and synergistic chemo-photodynamic therapy [dataset]", https://doi.org/10.21950/PPAP6T, e-cienciaDatos, V1
Pt(II)-BODIPY complexes combine the chemotherapeutic activity of Pt(II) with the photocytotoxicity of BODIPYs. Additional conjugation with targeting ligands can boost the uptake by cancer cells that overexpress the corresponding receptors. We describe two Pt(II) triangles, 1 and 2, built with pyridyl BODIPYs functionalized with glucose (3) or triet...
Archivo ZIP - 8,4 MB - MD5: 005a5aec5636cbaf763ad361ddafa8eb
DataDatos
Structural and photophysical characterization of compounds (Raw data). Supplementary material of the paper published in Journal of Medicinal Chemistry
Texto plano - 5,1 KB - MD5: 9f9e457e46ce9b6c7d4596bf98a1a1b7
DocumentaciónDocumentation
Feb 28, 2024 - Universidad Politécnica de Madrid
D'Haro Enríquez, Luis Fernando; Gil Martín, Manuel; Luna Jiménez, Cristina; Esteban Romero, Sergio; Estecha Garitagoitia, Marcos; Bellver Soler, Jaime; Fernández Martínez, Fernando, 2024, "Art-GenEvalGPT", https://doi.org/10.21950/LBNLGA, e-cienciaDatos, V1
Description of the project ASTOUND is an EIC funded project (No. 101071191) under the HORIZON-EIC-2021-PATHFINDERCHALLENGES-01 call. The aim of the project is to develop an artificial conscious AI based on the Attention Schema Theory (AST) proposed by Michel Graziano. This theory proposes that consciousness arises from the brain's ability to create...
Feb 28, 2024 - Art-GenEvalGPT
Tabular Data - 36,2 MB
A CSV file containing the actual dialogues generated by the ChatGPT model. Each dialogue entry consists of conversational turns between the expert and user agents.
Feb 28, 2024 - Art-GenEvalGPT
JSON - 152,2 KB - MD5: 72cfc7ed2cc6717158cf57e4136b6e59
Contains a structured taxonomy with codes for identifying the different elements of the dataset. It includes codes for profiles, such as painting, expert, and user profiles. Additionally, it contains codes for various attributes such as emotions, toxicity and biases.
Feb 28, 2024 - Art-GenEvalGPT
MS Word - 21,9 KB - MD5: 6d6f05a1e9ba0d4b0e41518e43bdb892
Feb 28, 2024 - Art-GenEvalGPT
Tabular Data - 11,5 MB
Comma-separated values (CSV) file containing detailed information about each dialogue in the dataset. It includes data such as the author and style of the artwork, emotions, goals, roles, toxicity, and anthropology. This files server as a comprehensive reference for understanding the context and characteristics of each dialogue within the dataset
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