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Informe de l’anàlisis de 8 carbons del jaciment ibèric de Barranc de Gàfols (Ginestar, Ribera d’Ebre)
No full textAnthracological data from the excavation at Barranc de Gàfols. The attached data comes from the charcoal analyses of eight fragments from the protohistoric site of Barranc de Gàfols
Anàlisi antracològica del materials del Bronze final del jaciment del Camps dels Moros de La codina (Solsonès)
No full textAnthracological data from the rescue excavations at Camp dels Moros de La Codina (Pinell, Solsonés).
The attached data come from the anthracological record from a Bronze age site
Prototipos CVR y tradicional y anexos investigación
No full textPrototipos creados en el desarrollo de la tesis aplicada que versa sobre las posibilidades del montaje en el entorno inmersivo con carácter narrativo. Se incluye una versión de cine tradicional en formato de video, y otra versión inmersiva, como app que ha de ser instalada en unas Meta Quest 1 o 2 (previa configuración de las gafas en modo developer). También se acompaña de los resultados del análisis y el dossier de producción del prototipo
Replication Data for: NIR-HSI as a tool to predict deoxynivalenol and fumonisins in maize kernels: a step forward in preventing mycotoxin contamination
No full textReflectance data for different samples of maize kernels are provided.
Concentration of deoxynivalenol and fumonisins determined by HPLC-DAD and HPLC-fluorescence, and raw reflectance data acquired from maize samples using NIR-HSI (893-1730 nm) equipment.
From these raw data regression models were developed for predicting DON, FB1, FB2 and FB1+FB2 contamination in samples of maize kernels. Equally, classification models were developed for classifying samples of maize kernels according to its DON, FB1+FB2 or DON+FB1+FB2 contamination. Unscrambler software was used to develop the regression models, while Quasar was used to develop the classification models
Replication Data for: Impact of processing parameters and formulation on deoxynivalenol content and transfer in oat-based beverage manufacturing
No full textOat-based beverage physicochemical characteristics, DON transfer from oat flour to the oat-based beverages, method validation, statistics values, DON final concentration of the oat-based beverages, effect of thermal treatment on DON content in the oat-based beverages and leaching models values
Datos de replicación para: Percepción de amenaza sobre el COVID-19 y actitud ante la vacunación
No full textDatos que contienen variables sociodemográficas,
percepción de amenaza sobre el COVId-19 y actitud ante la vacunación
de las enfermeras
Image dataset about the characterisation of Polylactic acid (PLA) nanoplastics by TEM and SEM
No full textImages obtained after the characterisation of polylactic acid (PLA) nanoplastics by TEM and SE
Replication data for Hyperedge prediction and the statistical mechanisms of higher-order and lower-order interactions in complex networks
No full textThis dataset contains all the input data and results necessary to reproduce the experiments described in the associated publication on hyperedge prediction and statistical mechanisms in complex networks.
### Folder structure
#### `data/DATA_FOLDS/`
This directory contains the data used for 5-fold cross-validation of the model. Each fold consists of a pair of files:
- `trainX.dat`: the training data for fold X (where X ∈ [0–4])
- `testX.dat`: the corresponding test data for the same fold
Each training set represents 80% of the original dataset, and each test set represents the remaining 20%. The data files are in `.dat` format and contain encoded hyperedges used to fit and evaluate the generative model.
#### `data/REDUCED_DEFINITIVE_RESULTS/`
This directory includes the prediction results for each of the five folds (`fold0` to `fold4`) for different values of the model parameter **K**, which determines the number of latent groups:
- `K2_foldX.csv` → prediction results for fold X using K = 2
- `K3_foldX.csv` → results using K = 3
- ...
- `K5_foldX.csv` → results using K = 5
All result files are in `.csv` format and contain metrics and predicted scores generated by the model.
#### `README.md`
This file describes the usage of the dataset and details the experimental setup.
### Notes
The dataset is provided in support of reproducibility and open research. The full version of this dataset is also structured in a public GitHub repository:
https://github.com/AleixMT/TrigenicInteractionPredictor
All data is released under a Creative Commons Attribution 4.0 International License (CC BY 4.0)
Replication Data for: Does size matter? A proteomics-informed comparison of the effects of polystyrene beads of different sizes on macrophages.
No full textThis dataset includes images related to the publication Does size matter? A proteomics-informed comparison of the effects of polystyrene beads of different sizes on macrophages. Véronique Collin-Faure, Bastien Dalzon, Julie Devcic, Hélène Diemer, Sarah Cianférani and Thierry Rabilloud. Environ. Sci.: Nano, 2022, 9, 2827-2840. doi: 10.1039/d2en00214k:
Confocal microscopy images of mouse macrophages (J774A.1 cell line) exposed to 50μg/ml of yellow-green fluorescent polystyrene beads of various diameters for 24 hours
Confocal microscopy images of mouse macrophages (J7774A.1 cell line) first exposed to yellow-green fluorescent polystyrene beads of different diameters for 24 hours, then to phagocytosis test beads for 3 hours
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Risk, Landscape and Health perceptions in Tarragona
No full textThe dataset includes data collected through a Public Participation Geographic Information System (PPGIS) survey conducted between February and April 2024. The Excel file contains 4 excel files:
1. Full PPGIS survey responses
2. Participant locations
3. Risk source locations
4. Locations of areas affected by petrochemical clusters
Additionally, the dataset includes geotagged images related to the landscape perception data, corresponding to specific survey points.
Shapefiles (SHP) are also provided, covering the following geographic layers:
1. Territorial boundaries
2. Risk source points
3. Participant locations
4. Affected area points
5. Petrochemical cluster polygon