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Data of the project FORECAST-AIR (European Research Council Proof-of-Concept Grant No. 101123382)
No full textMetadata describing the datasets used for the project FORECAST-AIR (European Research Council Proof-of-Concept Grant No. 101123382). It includes mortality data for several European countries, gridded population data, population data from Eurostat, temperature and relative humidity data, air pollution data, and air pollution forecasts
Replication Data for: Identifying a knapping signature for Lower Palaeolithic spheroid reduction
No full textDataset with the material of 11 experiments related with the creation of spheroid lithic objects
Informe De l’anàlisi Antracològica Del Jaciment De Mas d’en Boixos (Pacs Del Penedés, Alt Penedés). Mostres Del Neolític, Edat Del Bronze, Ferro I Ibèri
No full textAnthracological data from the excavation at Mas d’en Boixos (Pacs del Penedés). The attached data comes from one the study of several units from the Neolithic to Iberian site of Mas d’en Boixos
Replication data for: Construction, use and maintenance of hearths in Iberian Cesetania (5th-3rd cent. BC): microcontextual case studies
No full text[ENG] Supplementary material of the study of 19 hearths located in six archaeological sites in the territory of ancient Iberian Cesetania, with chronologies between the 5th and 3rd centuries BC: La Mota de Sant Pere (Cubelles, Garraf), Alorda Park (Calafell, Baix Penedès), La Cella (Salou, el Tarragonès), Puig del Cocodril (Subirats, Alt Penedès), Masies de Sant Miquel (Banyeres del Penedès, Baix Penedès) and El Vilar (Valls, Alt Camp).
All of them are analysed from a macroscopic and morphological perspective (construction techniques, shape, location) and where possible, various methods of microcontextual analysis have also been applied (anthracology, phytoliths and calcitic microremains, micromorphology, FTIR and phosphate analysis).
This dataset has the table with the description and location of the samples analyzed and the main results obtained from the study of phytoliths and calcitic microfossils and the graphs of FTIR spectra.[SPA] Material suplementario del estudio de 19 hogares localizados en seis yacimientos arqueológicos del territorio de la antigua Cesetania ibérica, con cronologías entre los siglos V y III a.C: La Mota de Sant Pere (Cubelles, Garraf), Alorda Park (Calafell, Baix Penedès), La Cella (Salou, el Tarragonès), Puig del Cocodril (Subirats, Alt Penedès), Masies de Sant Miquel (Banyeres del Penedès, Baix Penedès) y El Vilar (Valls, Alt Camp).
Todos ellos se analizan desde una perspectiva macroscópica y morfológica (técnicas de construcción, forma, ubicación) y en los casos en que ha sido posible, se han aplicado, además, diversos métodos de análisis microcontextual (antracología, fitolitos y microrrestos calcíticos, micromorfología, FTIR y análisis de fosfatos).
En este dataset se comparte la tabla con la descripción y localización de las muestras analizadas y principales resultados obtenidos del estudio de fitolitos y microfósiles calcíticos y los gráficos de espectros de FTIR.<br
Replication Data for "Antagonistic Two-Color Control of Polymer Network Formation"
No full textSupplementary files of research article "Antagonistic Two-Color Control of Polymer Network Formation". This research paper describes the preparation of patterned polymeric films controlled with two colors of light using photoswitchable crosslinkers and photoactive polymers
Replication Data for "The development of the truffle beetle Leiodes cinnamomeus at low temperature, a determining factor for the susceptibility of adults and larvae to entomopathogenic nematodes"
No full textThis dataset includes the data analysed in the manuscript "The development of the truffle beetle Leiodes cinnamomeus at low temperature, a determining factor for the susceptibility of adults and larvae to entomopathogenic nematodes". It includes three excel-file about the mortality of Leiodes cinnamomeus adults, mycophagous larvae and diapausing larvae to nematode species exposed at different temperatures.
This study aims to test the susceptibility of L. cinnamomeus adults and larvae to different entomopathogenic nematode species at various temperatures under laboratory conditions
Replication Data for: Electrical spectroscopy of polaritonic nanoresonators
No full textThe data was processed with Matlab and usually normalizing the measured raw photocurrent spectra at a specific graphene Fermi energy to the one taken at the graphene charge neutrality point
RadioLung
No full textIMPORTANT-IMPORTANT-IMPORTANT-IMPORTANT
The valid files are 11112024_AcqParams_v2.xlsx, 11112024_BDMetaData_v2.xlsx, DICTIONARY_RADIOLUNG_v2.docx, and all the associated CT files.
This prospective cohort study, initiated in December 2019, aims to evaluate nodules of patients who underwent surgery for pulmonary nodules (PN) in routine practice and as part of Lung Cancer Screening (LCS). To determine the malignancy of the nodules and their histopathological type, a biopsy was performed on each PN.
Informed consent was obtained from all subjects involved in the study. The study was conducted according to the guidelines of the Declaration of Helsinki-Fortaleza/Brazil, 2013, and approved by the Institutional Review Board of Hospital Universitari Germans Trias i Pujol (protocol code PI-19-169 and date 6 September 2019).
The dataset contains 4 types of files:
1. NII.GZ files: anonymized 3D volumes Fromm CT Scans.
2. ACSV files: Text files generated by 3D Slicer, associated to an individual NII.GZ file, which include the coordinates and size of the volume that encompasses the nodule found in the CT.
3. XLSX files: One spreadsheet with the metadata corresponding to the acquisition parameters of each CT (11112024_AcqParams), and one spreadsheet with the metadata corresponding to each patient, CT scan, and nodule. (11112024_BDMetaData). The description, and possible values, of each column are written in a dictionary in DOCX format.
4. DOCX files: Text file with the description, and possible values, of the metadata for patient, CT scans, and nodules, included in the dataset.
XLSX and DOCX files are found in the main folder of the dataset.
The anonymized CT scans, and their corresponding ACSV files, are stored in separate folders, using the patient identifier as the folder name. These folders are stored inside the folder “CT”.
The CT scans were acquired using standardized parameters, including 120 kV, 100-350 mA (dose modulation range), soft tissue reconstructions, and high-frequency algorithms. For more detailed information, please refer to the article titled “An Intelligent Radiomic Approach for Lung Cancer Screening” (full reference provided above).
The database contains anonymized CT scans in NifTI format, along with the precise location of the nodules within the scans. These locations were marked by a respiratory medicine physician with seven years of experience using 3D-Slicer software (version 4.11.20210226). The physician utilized this tool to define a Volume of Interest (VOI) that encloses each nodule, resulting in the generation of a corresponding .ACSV file for each PN.
For instance, let’s take the file R_1.acsv, which was generated using 3D-Slicer and contains a VOI represented by the following lines:
line 24. # pointColumns = type|x|y|z|sel|vis
line 25. point|82.3079|-85.7626|102.94|1|1
line 26. point|11.9305|16.9547|10.8962|1|1
Line 24 describes the positional items of the subsequent lines. The VOI is represented by a central point (x, y, z), which can be found in Line 25, and a shift in both directions (+/-) for each axis, specified in Line 26. This means that the VOI is delimited by the following two points:
Point1 = (70.3774, −102.7173, 92.0438)
Point2 = (94.2384, −68.8079, 113.8362)
These points define the bounding box that encompasses the PN image. They are given in the world system coordinates relative to the CT scan and need to be mapped to the voxel coordinates for extracting the VOI of the nodule. To achieve this mapping, the affine matrix is employed to transform from the scanner coordinate system to the voxel coordinate system. Once the mapping is performed, the bounding box can be utilized to extract the pulmonary nodule from the CT scan.<br
