RECOMMENDED README FILE FOR GREDOS_USAL This readme.txt file was generated on 20260319 by Jesús Enrique Velázquez Pérez ---------------------------------- GENERAL INFORMATION ---------------------------------- 1. Title of Dataset: PDC2023-145856-I00_Dataset 2. Authors: Name: Jesús Enrique Velázquez Pérez Institution: Universidad de Salamanca Email: js@usal.es ORCID: 0000-0002-6555-9871 Name: Yahya Moubarak Meziani Institution: Universidad de Salamanca Email: meziani@usal.es ORCID: 0000-0001-5193-7993 Name: Esteban Sánchez Hernández Institution: Universidad de Salamanca Email: esh@usal.es ORCID: 0000-0003-1341-8767 Name: Jaime Calvo Gallego Institution: Universidad de Salamanca Email: jaime.calvo@usal.es ORCID: 0000-0003-4987-4852 Name: María Moreno Vázquez Institution: Universidad de Salamanca Email: maria.moreno@usal.es ORCID: 0000-0002-2908-3415 Name: EL Hadj Abidi Institution: Universidad de Salamanca Email: elhadjabidi@usal.es ORCID: 0000-0002-7571-3975 Name: Julio Rangel García Institution: Universidad de Salamanca Email: rangelgarciaj51@gmail.com ORCID: ------------------- DESCRIPTION ------------------- 1. Dataset language: English 2. Abstract: The terahertz (THz) spectral range lies between the microwave and infrared regions of the electromagnetic spectrum, generally referring to the range between 0.1 and 10 THz. THz technology is of great interest due to its specific properties. Many materials, such as paper and plastic, are transparent to this radiation, enabling inspection and security operations. Many substances have a 'fingerprint' (a characteristic spectrum) in the THz range, making THz radiation a powerful tool for spectroscopic applications. Due to its low photon energy (approximately one million times lower than X-rays), THz radiation is non-ionising and therefore poses no danger to humans. This research project aimed to develop, demonstrate and prepare for transfer a new THz detector prototype capable of competing effectively with existing technologies. The new system was designed modularly so that sensor chips manufactured using different technologies can be employed. In particular, the project has employed two cutting-edge technologies: silicon FinFET transistors and graphene-based transistors. The detection process uses two transistors and is based on plasmon oscillation in a two-dimensional electronic system within an FET channel. This enables EM radiation in the terahertz range to be detected, in accordance with the Dyakonov–Shur theory. These sensors offer several advantages: low cost; a faster response time than other detectors (e.g. bolometers and pyroelectrics); operation at room temperature; scalability; integration into CMOS silicon technology for FinFETs; and compatibility with graphene-based transistors. Graphene field-effect transistors (GFETs), which were developed at the USAL, are highly attractive for THz applications thanks to their high channel mobility (over 100,000 cm²/Vs at room temperature) and efficient light-matter interaction. GFETs have been fabricated with various types of integrated antenna to improve responsivity. FinFETs constitute the latest generation of commercial transistors with ultra-short gate topology, making them excellent candidates for building THz detectors that are almost ready for the market, with the potential for integration of read-out circuitry. The devices were measured in the 0.15–5 THz range and between 4 and 300 K. In particular, the figures of merit, responsivity and NEP (noise equivalent power), were determined. 3. Keywords: Nanotechnology, Silicon, Terahertz, Prototypes, 2D materials, FET, Plasma waves, Sensor, Plasmonics. 4. Date of data collection: 15th of December 2025 5. Date of data publication on repository: 2026 6. Funding (Information about funding sources that supported the collection of the data): PDC2023-145856-I00 7. Geographic location of data collection Salamanca, Spain, Europe 8. Recommended citation for this dataset: --------------------------------------------------------- SHARING/ACCESS/CONTEXT INFORMATION --------------------------------------------------------- 1. Usage Licenses/restrictions placed on the data Creative Commons 4.0- BY-NC-ND 2. Related publications: None 3. Dataset DOI: -------------------------------- DATA & FILE OVERVIEW -------------------------------- 1. File List: Graphene_Sensor.zip, FinFET_Sensor.zip, USAL_Images.zip, Prototipo_Image.zip, PCB-proyecto.zip. This dataset is divided into 5 different .zip files: 1. The folder Prototipo_Image.zip contains the files: Prototipo02.jpg Prototipo_01.jpg 2. The folder Graphene_Sensor.zip contains the files: Graphene-ONOFF-THz.png GrapheneFET-IDVG-CNP-8K GrapheneFET-IDVG-CNP-300K.txt DU_4p7THz_260Hz at VBG=CNP_VTG1=VTG2=m1to1-0.20000 3. The folder FinFET_Sensor.zip contains the files: FINFETs I D2_PVvsVg_404GHz_20d_0uA.txt FINFETs I D2_PVvsVg_250GHz_70d_0uA.txt FINFETs I D2_PVvsVg_210GHz_200d_0uA.txt FINFETs-Response_vs_Vg.pdf FINFET-IdVd-V0p6V.txt FINFET-IdVd-V0p3V.txt FINFET-IdVd.pdf 4. The folder USAL_Images.zip contains the files: USAL-image-300GHz.png ChipTHzImage.png 5. The folder PCB-proyecto.zip c contains the files: TERALAB USAL (V3.3).pdsprj TERALAB USAL (V3.3) - CADCAM.ZIP que contiene TERALAB USAL (V3.3) - CADCAM Top Copper.GBR TERALAB USAL (V3.3) - CADCAM Bottom Copper.GBR TERALAB USAL (V3.3) - CADCAM Top Silk Screen.GBR TERALAB USAL (V3.3) - CADCAM Top Solder Resist.GBR TERALAB USAL (V3.3) - CADCAM Bottom Solder Resist.GBR TERALAB USAL (V3.3) - CADCAM Top SMT Paste.GBR TERALAB USAL (V3.3) - CADCAM Mechanical 1.GBR TERALAB USAL (V3.3) - CADCAM Top Assembly.GBR TERALAB USAL (V3.3) - CADCAM Drill TOP-BOT Plated.GBR TERALAB USAL (V3.3) - CADCAM Netlist.IPC TERALAB USAL (V3.3) - CADCAM READ-ME.TXT 2. Relationship between files, if important: 3. File format: Compressed .zip files. ----------------------------------------------- METHODOLOGICAL INFORMATION ---------------------------------------------- 1. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: Proteus for the project file TERALAB USAL (V3.3).pdsprj and the Altium/Eagle for the .gbr files. .zip files are conventional compressed files. 2. Describe any quality-assurance procedures performed on the data: None. 3. Author contact information: Jesús Enrique Velázquez Pérez – js@usal. Yahya Moubarak Meziani – meziani@usal.es