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Bronze Age monumental earthworks of the Friuli Plain (NE Italy): from LiDAR-based morphometric analysis to the reconstruction of settlement patterns and organization
No full textIn this study, we use high-resolution data from airborne Light Detection and Ranging (LiDAR) acquisitions to comprehensively analyse late prehistoric earthwork structures in the alluvial plain of Friuli (NE Italy).
By comparing LiDAR-derived models with direct topographic surveys of the structures carried out in the past we provide a detailed overview of the main characteristics of the structures. The new documentation, including Digital Terrain Models (DTMs), profiles and 3D models of the preserved structures, refines the topographic information collected by previous scholars and offers new insights into the development of sophisticated building techniques by Bronze Age communities. Additionally, by converting earthwork volumes into energetics and combining workforce investment analysis with other archaeological proxies—particularly site size and distribution—we have supported the analysis of settlement patterns and organization.
Assuming 100 hypothetical full-time workers, the construction of burial mounds would have required from 1 week to 2 months; phase 3 monumental embankments at Sedegliano, Savalons, and Galleriano forts would have taken 4-10 months while 2.5-4 years at Udine. The Udine mound would have demanded up to 28 times the labour needed for other forts’ embankments, requiring approximately 11 years to complete and likely necessitating additional workforce from nearby settlements. This approach reveals the emergence of a defined hierarchical settlement system in the Friuli plain during the Recent Bronze Age, with the fort of Udine serving as a central place within a polity of smaller fortified settlements, akin to those recognized in the nearby regions of the Po Plain
Italian Local Chicken Breeds: A Comparative Analysis of Biodiversity on a Global Scale
No full textThe raw dataset was then integrated with genotypic data from various chicken breeds worldwide to explore the genetic relationships between Italian and global biodiversity. Genotypic information for 3,047 animals representing 167 breeds was obtained from Malomane et al [8], establishing a global dataset.
All individuals retrieved from Malomane et al [8] were genotyped with the Affymetrix Axiom 600K Chicken Genotyping Array. After merge, the final dataset consisted of 3,720 animals, 467,723 common SNPs, and 192 breeds, divided according to geographical origi
Depth-distribution patterns of Soil Organic Matter in the tidal marshes of the Venice Lagoon (Italy)
No full textDataset for depth-distribution analysis of Soil Organic Matter in the salt marshes of the Venice Lagoon, Ital
Simultaneous Expression of Different Therapeutic Genes by Infection with Multiple Oncolytic HSV-1 Vectors (Figures 1-6 and Figures S1 and S2)
No full textThis file reports raw data relative to Figures 1-6 and Figures S1 and S2 of the manuscript entitled "Simultaneous Expression of Different Therapeutic Genes by Infection with Multiple Oncolytic HSV-1 Vectors", authored by Adriana Vitiello, Alberto Reale,Valeria Conciatori, Anna Vicco, Alfredo Garzino-Demo, Giorgio Palù, Cristina Parolin, Jens Von Einem, and Arianna Calistr
Questset
No full textThe 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
oHSV-1 behavior in MDA-MB-231 cells
No full textThis 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
Data for Periodic protected agriculture mapping at continental scales with Sentinel-2 imagery within the Google Earth Engine platform
No full textThe collection contains:
1) The script as a .txt file to run the classifier OPAC and its whole workflow in the Google Earth Engine platform;
In the assets, leave "cicci_Reflective" for OPAC with reflective soils, otherwise, replace it with "cicci" to run the original version of OPAC.
2) The 116 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 - Shadow, 5 - Snow, 7 - Vegetated, 8 - Water, 9 - Highly reflective soils from Turkey, 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.
4) The .csv file contains the additional training dataset extracted from misclassified "protected agricultural" pixels from Turkey for a new version of OPAC to map highly reflective soil
Mean Hillslope Length
Full text linkThis deposit contains the data (Catchment.zip) and the codes to compute the empirical mean hillslope length and its percentage derivative, for all the 15 catchments considered in the paper. A readme file provides some details about the functioning of the codes. Please place the scripts in the same location of the Catchments folder and run them in the proper order.
Additional catchments (spanning a wider range of areas) have been added to the second version of the deposit (LargeBasins.zip), together with the codes to compute and plot the mean length function (p5_computeMeans_LargeBasins.m) and the corresponding MRE values (p6_ComputeMRE_LargeBasins.m) for each of these large basins
Martian simulant analysis dataset
No full textThis dataset contains data derived from chemical, mineralogical, granulometric and hyperspectral acquisitions of Mars Global (MGS-1) High-Fidelity Martian Dirt Simulant [1], Mojave Mars Simulant MMS-1 and Enhanced Mars Simulant (MMS-2). The instruments used for this work are:
- Laser Diffraction Particle Size Analyzer Malvern Panalytical Mastersizer3000: granulometric analysis;
- Inductively Coupled Plasma Mass Spectrometer (ICP-MS) Perkin-Elmer NexION 350X: chemical analysis;
- X-Ray powder Diffractometer (XRD) Philips X’Pert PRO: mineralogical analysis;
- Scanning Electron Microscope (SEM-EDS) Tescan SOLARIS equipped with Oxford Instruments microanalytical system: mineralogical analysis.
- Headwall Photonics Nano-Hyperspec (400-1000 nm) and Micro-Hyperspec (900-2500 nm) cameras: hyperspectral acquisitions;
The Mastersizer3000 software creates tables and related plots of grainsize ready to use.
The detector of mass spectrometer generates data in CPS (counts per second). Knowing the dilutions of the solutions, the spectrometer software calculates the quantities in terms of weight over volume (µg/l) in a table. Thereafter, knowing the initial weights of the simulant in the solutions, the operator converts data from weight over volume (µg/l) to weight over weight (mg/kg).
Qualitative phase analysis on powder diffraction data has been run through a search-match algorithm, in order to identify the minerals species. Quantitative phase analysis has been performed using the Rietveld method with internal standard addition, as implemented in Profex-BGMS v. 5.2.3.
The SEM products are photos of the sites, where the mineralogical analysis is performed, and graphs with peaks. The peaks are associated with specific chemical elements through the SEM software, that allows to determine the minerals present in the simulant. It was carried out only on the largest grains of MGS-1 simulant.
The hyperspectral cameras acquire hyperspectral cubes that the operator can open in ENVI software [3] or similar ones for hyperspectral imaging data-sets to extrapolate the spectrum of the simulants. The spectrum is saved in table format (ASCII) and can be opened in Origin software [4] or any software dedicated to graph and table management (e.g., Excel). In Origin, the operator produces the spectral plot, where he/she can continue with direct interpretations of absorption peaks, characteristic of particular minerals
Wi-Fi channel frequency response database for evaluating channel sounding mechanisms in IEEE 802.11 networks
No full textThis repository contains the dataset used for the IEEE Wireless Communications Letter "Evaluating the Impact of Channel Feedback Quantization and Grouping in IEEE 802.11 MIMO Wi-Fi Networks