BUSCADOR RECOLECTA

In the SM, we included supporting information on the calculations and model used to calculate the photon statistic function g2(t). This model and all its details/discussions have already been published in Phys. Rev. A 104, 013719 (2021). We have also included a small section where we provide proof of the robustness of our proposal with changes in detuning and drivings., Peer reviewed

Additional theory and calculations complementing the content of the main text., Peer reviewed

In this supplementary information, we show sets of data and discussion that are complementary to those shown in the main text., Peer reviewed

[Description of methods used for collection/generation of data] The corpus statistics and methods are explained in the following article: Federico Ortega-Riba, Leonardo Campillos-Llanos, Doaa Samy (2025) "Lexical Simplification in Spanish Texts For Patients: The Complex Word Identification Task". (Under review). [Methods for processing the data] Manual annotation of complex words (CW) according to the criteria defined in the guideline explained in the companion article., The corpus is made up of 225 texts in Spanish annotated with complex words (CW). It contains three text types: consent forms (75 texts), clinical trial announcements (75 texts) and patient information documents (75 texts). This resource is aimed at training models, evaluating and performing experiments on complex word identification of Spanish medical texts., This dataset was collected in the CLARA-MeD project (PID2020-116001RA-C33), with funding from the Spanish government by MICIU/AEI/10.13039/501100011033/, in project call: “Proyectos I+D+i Retos Investigación”., The corpus is made up of 225 texts. It is aimed at training models, evaluating and performing experiments on complex word identification of Spanish medical texts. The corpus contains three text types: • Consent forms (75 texts) • Clinical trial announcements (75 texts) • Patient information leaflets (75 texts) - ANN: Contains BRAT annotated files (.ann) and corresponding text files (.txt): These are separated in three folders and subfolders (corresponding to each text type): • TRAIN: ▫ ci: 51 consent forms ('consentimientos informados') ▫ eudract: 51 clinical trial announcements from REEC and EudraCT ▫ info: 51 patient-oriented information leaflets • DEV: ▫ ci: 9 consent forms FALTA UNO ▫ eudract: 9 clinical trial announcements ▫ info: 9 patient-oriented information leaflets • TEST: ▫ ci: 15 consent forms ▫ eudract: 15 clinical trial announcements ▫ info: 15 patient-oriented information leaflets - JSON files for transformer models: These are separated in TRAIN, DEV and TEST. - CSV files with the processed data, corresponding to TRAIN, DEV and TEST data. These were used for the machine learning experiments. Each file has the following fields: • Token • Label: it encodes the class (CW, 'complex word') and if the token is the Beginning of the entity (B), if it is Inside (I) or Outside (O)., Peer reviewed

SANS background subtraction; scattering length density of BSA in d-urea/D2O solutions and forward scattering; fast dynamics in BSA urea/water solutions; 1H NMR spectra of NPs and bare protein; small angle X-ray scattering results of BSA native with addition of cross-linker; dynamic light scattering results of BSA NPs; SANS data of NPs with short cross-linker (DSG); and shape parameter (Rg/RH) of BSA SCNPs with long cross-linker (BS3) ., Peer reviewed

Intercalation of 2H-TaS2 flakes in pure amylamine (AM) (MP4)., Intercalation of 2H-TaS2 flakes in the amylamine:acetonitrile (AM:ACN) mixture (MP4)., XRD patterns of bulk and exfoliated 2H and AFM images of a TaS2 flake before and after intercalation in pure amylamine (AM) (PDF)., Peer reviewed

nano-FTIR data is provided as interferogram files ending in "Interferograms.txt.txt" within the individual folders containing the string "NF S". Row: not used Column: not used Run: number of interferogram acquisition Depth: pixel number within one interferogram M: not used O0A: amplitude in V of the 0th demodulation order O0P: phase in radians of the 0th demodulation order O1A: amplitude in V of the 1st demodulation order O1P: phase in radians of the 1st demodulation order O2A: amplitude in V of the 2nd demodulation order O2P: phase in radians of the 2nd demodulation order O3A: amplitude in V of the 3rd demodulation order O3P: phase in radians of the 3rd demodulation order O4A: amplitude in V of the 4th demodulation order O4P: phase in radians of the 4th demodulation order O5A: amplitude in V of the 5th demodulation order O5P: phase in radians of the 5th demodulation order, Additionally, s-SNOM images for finding the antennas prior to nano-FTIR spectroscopy can be found in the folders containing the string "WL", This is the nano-FTIR data set as shown in Figs 3 and 5 of our publication "Experimental verification of field-enhanced molecular vibrational scattering at single infrared antennas" by D. Virmani et al. This data set was acquired with a NeaSNOM microscopy (attocube AG) and can be opened with Gwyddion (https://gwyddion.net/). Please see the files "notes.txt" within the zip file provided for an identification of the individual data sets., Peer reviewed

Experimental STM, STS and STML data studying the fluorescent behaviour of a PTCDA molecule attached to the metallic apex of a scanning tunneling microscope. Treated source data of all Figures included in the publication., Peer reviewed

Theoretical methods, projected DOS of Si@EP and the charge densities of the VBM and EP state, and select snapshots of the Fe magnetic moment of FeOOH at 100 and 300 K., Peer reviewed

Voltage-dependent topographies of melamine, microscopies and spectroscopies of deuterated melamine, spatially resolved spectroscopy of melamine, transmission eigenchannels, active vibrational modes in inelastic electron tunneling, magnitude of inelastic conductance change from DFT, transmission function and density of states, Fermi level alignment with molecular resonances, and two-level model for sign and magnitude of inelastic conductance change., Peer reviewed