Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “Venice”
Typical Mail Box in Venice Beach, CA
Quick scan taken with Trnio Plus using LiDar mode. There's a bunch of these graffitied pieces on Venice Beach. Source: Objaverse 1.0 / Sketchfab
Saverjus Venice Statue
Venice Statue 5fsb Final 2mdec Venice Statue. Video to image to pointcloud to mesh. Captured by iPhone7S Filmed and Created: 2019 Source: Objaverse 1.0 / Sketchfab
VENICE Study Nevirapine Full Dose/Dose Escalation
ClinicalTrials.gov study NCT00704249. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gene expression profiling of native mussels from Venice lagoon area
GEO Series GSE2184. Mytilus galloprovincialis. 6 samples. Type: Expression profiling by array.
DTM and orthomosaic of a shallow water area near Allacciante - Valgrande channels (Venice Lagoon, Italy) - BRAHMS project
<p>DTM and orthomosaic model of a 6-by-12-m shallow water area (average depth about 1.5 m) on a subidal flat near Allacciante and Valgrande channels, Lagoon of Venice (IT), generated by SfM photogrammetric approach. Photos were acquired on 11 May 2022 by a snorkel diver holding a hydrodynamic board equipped with 4 synchronized action cameras, 50-90 cm from the seafloor. Two pairs of cameras were fixed to the board 70 cm apart, each pair consisting of one camera facing nadir and one inclined approx. 45°. Cameras were set in time-lapse mode (2 fps, wide FoV, ISO 100-400). To cover the area, the diver swimmed back and forth, producing a pattern mostly composed of 11 longitudinal swaths partially overlapping. Reel lines were preliminarily deployed on the seafloor as a guide, together with 5 photogrammetric plates (33x33 cm). For each of 4 vertices and 5 plates, lat/long coordinates were acquired with Trimble SPS585 GNSS receiver (RTK corrections) and z-value as water depth measured with RBR solo<sup>3</sup> depth logger. Analyses were perfomed with Agisoft Metashape. Sparse point cloud reconstruction was carried out through incremental alignment procedure, with a total of 2668 photos alligned. DTM (in m, water surface during depth measurements being zero elevation) was created with dense cloud basis and WGS84/UTM 33N projection. Orthomosaic was created based on DTM and same coordinate system. Scaling and georeferentiation were based on 9 ground control points (4 vertices and 5 plates). The resolution of DTM and orthomosaic are 2.01 mm/pix and 0.503 mm/pix, respectively.</p>
DTM and orthomosaic of a shallow water area near Lazzareto Nuovo island (Venice Lagoon, Italy) - BRAHMS project
<p>DTM and orthomosaic model of a 6-by-12-m shallow water area (average depth about 1.5 m) along a minor tidal channel branching from Canale Carbonera near Lazzareto Nuovo island, Lagoon of Venice (IT), generated by SfM photogrammetric approach. Photos were acquired on 6 October 2022 by a snorkel diver holding a hydrodynamic board equipped with 4 synchronized action cameras, 70-120 cm from the seafloor. Two pairs of cameras were fixed to the board 70 cm apart, each pair consisting of one camera facing nadir and one inclined approx. 45°. Cameras were set in time-lapse mode (2 fps, wide FoV, ISO 100-400). To cover the area, the diver swimmed back and forth, producing a pattern mostly composed of 12 longitudinal swaths partially overlapping. Reel lines were preliminarily deployed on the seafloor as a guide, together with 5 photogrammetric plates (33x33 cm). For each of 4 vertices and 5 plates, lat/long coordinates were acquired with Trimble SPS585 GNSS receiver (RTK corrections) and z-value as water depth measured with RBR solo<sup>3</sup> depth logger. Analyses were perfomed with Agisoft Metashape. Sparse point cloud reconstruction was carried out through incremental alignment procedure, with a total of 3815 photos alligned. DTM (in m, water surface during depth measurements being zero elevation) was created with dense cloud as basis and WGS84/UTM 33N projection. Orthomosaic was created based on DTM and same coordinate system. Scaling and georeferentiation were based on 9 ground control points (4 vertices and 5 plates). The resolution of DTM and orthomosaic are 1.28 mm/pix and 0.32 mm/pix, respectively.</p>
Acoustic Doppler current profiles on a shallow water area near Lazzareto Nuovo island (Venice Lagoon, Italy) - BRAHMS project
<p>Vertical profiles of 3D currents (10cm-thick cells) collected every 10-15 minutes during few hours (a tidal phase) throughout a section in a shallow water area (average depth about 1.5 m) along a minor tidal channel branching from Canale Carbonera near Lazzareto Nuovo island, Lagoon of Venice (IT). A mini-raft has been equipped with a down-looking ADCP and pulled back and forth (with a pulley) between two poles driven on the seabed.</p>
Acoustic Doppler current profiles on a shallow water area near Allacciante - Valgrande channels (Venice Lagoon, Italy) - BRAHMS project
<p>Vertical profiles of 3D currents (10cm-thick cells) collected every 10-15 minutes during few hours (a tidal phase) throughout a section in a shallow water area (average depth about 1.5 m) on a subidal flat near Allacciante and Valgrande channels, Lagoon of Venice (IT). A mini-raft has been equipped with a down-looking ADCP and pulled back and forth (with a pulley) between two poles driven on the seabed.</p>
Which role for genomics in environmental risk assessment? A case study in Venice Lagoon.
GEO Series GSE50062. Ruditapes philippinarum. 15 samples. Type: Expression profiling by array.
Datasets used in Venice et al., "An evolutionary perspective on fungal human pathogens: the genomes of Scedosporium between environmental challenges and opportunism"
<p>This datasets collection includes:</p> <p>- For <em>Scedosporium aurantiacum</em> MUT6114 and <em>S. minutisporum </em>MUT6113: fasta files with assembled genome sequences, and gff files with coordinates of both genes and putative TEs insertions. All these files were generated by the authors of this study.</p> <p>- For <em>S. apiospermum</em> IHEM 14462 and <em>Lomentospora prolificans</em> JHH-5317: gff files containing putative TEs insertions only, since the genomic sequences and the gene models were produced by other authors and deposited in the NCBI database under accession numbers GCF_000732125.1 and GCA_002276285.1, respectively.</p> <p>- For <em>S. apiospermum </em>HDO1<em>, S. aurantiacum</em> WM09.24, <em>S. boydii</em> IHEM23826, <em>S. dehoogii</em> 120008799-01-4,<em> Scedosporium</em> sp. IMV00882 and <em>Scopulariopsis brevicaulis</em> LF580: gff files with coordinates of both genes and putative TEs insertions, since the genomic sequences were produced by other authors and deposited in the NCBI database under accession numbers GCA_002158515.1, GCA_000812075.1, GCA_002221725.1, GCA_002812735.1, GCA_001931805.1 and GCA_017657125.1, respectively.</p> <p> </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.