Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform

The collection contains: 1) The script as a .txt file to run the classifier OPAC and its whole workflow in the Google Earth Engine platform; 2) The 115 output raster files with a spatial resolution of 20 m for the year 2019 produced and analysed in this study in geotiff format. The self-explanatory file names are composed by the abbreviated name of the country, the string “GEE_OPAC_Corine-”, followed by a string generated by the GEE platform during export. The size of each raster depended on the size of the tiles automatically produced by the GEE platform during export. The value of each pixel corresponds to one of the following classes: 1 - Forest, 2 - Protected Agriculture (classes 2, 3 and 6 were grouped together), 4 and 5 - Shadow, 7 - Vegetated, 8 - Water, 9 - Snow, 10 - Baresoil. 3) The ESRI shapefile “Validation_all_shape.shp” and related files (in epsg: 4326) locating the 450 points used for validation. The attribute table consists of: “ID” - Numeric increasing value for ordering, “Label” - True label assigned from visual inspection of the true color image from Sentinel 2 and the very high resolution RGB satellite images available in the GEE platform, “Country” – Country where the pixel belong, “Long” – Longitude, “Lat” – Latitude, “OPAC” – class assigned by the classifier

oHSV-1 behavior in MDA-MB-231 cells

This Excel file contains all the data related to oHSV-1s' replication in MDA-MB-231 cells, their ability to kill cancer cells, the expression of transgenes carried by each oHSV-1 in target cell

Two-Dimensional Electronic Spectroscopy Characterization of Fucoxanthin – Chlorophyll Protein

The collection includes the results of the two-dimensional electronic spectroscopy measurements performed on a solution of Fucoxanthin – Chlorophyll Protein from Cyclotella meneghiniana. Sample: FCPa @ room temperature Rephasing (R), non-rephasing (N) and total (T) signal datasets are provided data published in Marcolin et al. JPCLett 202

Paradoxical response to GH predicts glucose metabolism alterations in acromegaly

Objective: A paradoxical increase in GH after oral glucose load (GH-Par) characterizes about one-third of acromegaly patients and is associated with a better response to first-generation somatostatin receptor ligands (fg-SRLs). Pasireotide is typically considered as a second-/third-line treatment. Here, we aimed to investigate the predictive role of GH-Par in Pasireotide response and the development of adverse events. Design: Multi-center Italian retrospective cohort of 78 patients treated for at least 3 months with Pasireotide. Results: IGF-1 median levels were 1.38 times the upper limit of normality (ULN) in patients with large (median 18 mm) and invasive (78%) adenomas after fg-SRL treatment failure. After a 37-month median treatment, Pasireotide effectively reduced IGF-1 ULN levels in 65 patients. Notably, 74% of cases experienced a ≥30% reduction, with normalization achieved in 58%. Among 59 patients with available OGTTs, 13 showed GH-Par (22%). Despite similar pre-Pasireotide IGF-1 levels, GH-Par patients more frequently exhibited >50% reduction in basal IGF-1 ULN after prior treatments compared to GH-NPar (83% vs 42%, p=0.02). The median Pasireotide duration (16.0 vs 24.5 months), dosage (40 vs 50 mg/monthly), and efficacy in reducing IGF-1 ULN (-49.5% vs -57.3%) were similar between the GH-Par and GH-NPar groups. Pasireotide was discontinued in 11 patients due to new-onset or worsening of glucose metabolism alterations, with higher incidence in GH-Par (77%) vs GH-NPar (37%) (p=0.011). Conclusions: The GH-Par does not predict the response to Pasireotide in acromegaly but can predict new-onset Pasireotide-induced glucose metabolism alterations

oHSV-1 behavior in MDA-MB-231 cells

This Excel file contains all the data related to oHSV-1s' replication in MDA-MB-231 cells, their ability to kill cancer cells, the expression of transgenes carried by each oHSV-1 in target cell

Questset

The rapid development of Virtual Reality (VR) technology has led the industry and research community to look at its major challenges with increased interest. The main challenge in ensuring a high Quality of Experience (QoE) for users is represented by cybersickness, a phenomenon similar to motion sickness experienced by many VR users, while at the same time, the high data rates needed by VR require the definition of traffic models for network optimization. These two problems are intertwined, but have never been studied jointly before due to the lack of suitable datasets. In this paper, we present Questset, the first dataset designed for this purpose. Questset contains over 40 hours of VR traces from 70 users playing commercially available video games, and includes both traffic data for network optimization, and movement and user experience data for cybersickness and QoE analysis. Therefore, Questset represents an enabler to jointly address the main VR challenges in the near future

Logging residues mass and volume from systematic literature review

Creation of a benchmark for logging residues after harvesting operations and forest management treatments. This dataset represents the most up-to-date collection of studies related to quantity and volume values of logging residue and shows how the relationship with working systems, treatments, and forest type is affecting these values. The dataset can be used to establish a line of comparison for further research and applications in the field of forest management giving insights on quantities that could be potentially present after harvesting operations

Pictorial depth cues elicit the perception of tridimensionality in dogs

Dataset on Pictorial depth cues that elicit the perception of tridimensionality in dog

SVRUM: Safety-system for Vulnerable Road User's Mobility

The dataset contains measurements generated by different types of sensors (3-axis accelerometer, sonar, GPS) mounted on a city bicycle, which was run over different types of roads. The dataset is meant to facilitate the testing and comparison of different data analysis techniques for road hazard identification

TP and OJP xylem anatomical chronologies

Turkey Point, Ontario, Canada Old Jack Pine, Saskatchewan, Canada 1970-201