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6,782 results for “project”
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>
[Review version] Probabilistic projections of granular energy technology diffusion at subnational level
<p>This is a version for review prior to the publication of the article:<br>Nik Zielonka, Xin Wen, Evelina Trutnevyte, Probabilistic projections of granular energy technology diffusion at subnational level, <em>PNAS Nexus</em>, 2023;, pgad321, <a href="https://doi.org/10.1093/pnasnexus/pgad321">https://doi.org/10.1093/pnasnexus/pgad321</a></p> <p>You find the public data set to the article here:<br><a href="https://doi.org/10.5281/zenodo.8414845">https://doi.org/10.5281/zenodo.8414845 </a></p>
Datasets for HC's AI4ER PhD Project - I
<p>This repository contains all of the datasets required to replicate the results within the report. Note that these datasets are not necessarily the most up to date available from each organisation. These datasets have been processed in QGIS and should be used as input to the 'preprocessing.ipynb' notebook on the <a href="https://github.com/Hamish-Cam/depth-mapping">GitHub repository</a>. Note that some datasets are downloaded directly from Google Earth Engine and so are not included within this dataset repository (see notebook for download code).</p> <p>The following datasets are provided: </p> <ol> <li><strong>labelled_field_data.zip</strong> - collection of modern and historical peat thickness samples (various)</li> <li><strong>fens_outline.zip</strong> - shape file delineating the Fens boundary (Natural England)</li> <li><strong>landcover.tif</strong> - landcover classification map (UKCEH)</li> <li><strong>CROME.tif</strong> - crop map of England classification map (Rural Payments Agency)</li> <li><strong>lidar.tif</strong> - elevation map (Environment Agency)</li> <li><strong>MRVBF.tif</strong> - multiresolution valley bottom flatness (derived from lidar)</li> <li><strong>MRRTF.tif</strong> - multiresolution ridge top flatness (derived from lidar)</li> <li><strong>TWI.tif </strong>- topographic wetness index (derived from lidar)</li> <li><strong>distance_to_river.tif </strong>- euclidean distance to nearest river (derived from Ordnance Survey)</li> <li><strong>distance_to_watercourse.tif</strong> - euclidean distance to nearest watercourse (derived from Ordnance Survey)</li> <li><strong>NATMAPvector.tif </strong>- soil map classification map (LandIS)</li> <li><strong>NATMAPsoilscapes.tif</strong> - simplified soil map classification map (LandIS)</li> <li><strong>NATMAPcarbon.tif </strong>- soil carbon map (LandIS)</li> <li><strong>peaty_soils.tif</strong> - estimated map of peat occurrence (DEFRA)</li> </ol>
Extracted Data of Releases from Projects
<p>Extracted Data of Release notes and related artifacts from GitHub repositories. We uploaded small data size.</p>
SNSF project 192545 - Data and Codes
<p>This contains data and code used to produce and visualize the results of the numerical experiments for the SNSF project 100013_192545.</p>
Data platform related to ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 "The role of vitamin D gene polymorphisms and its receptors in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis".
<p><strong>Description of contents of the data platform (dataset 1 ) based on the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718</strong><strong> “</strong><strong>The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis</strong><strong>”. </strong></p> <p><strong>About the project and gathered data:</strong></p> <p>The two datasets contain clinical data on 289 sex-balanced samples (approximately 60% women / 40% men)) were created at the MS Clinic of the Latvian Maritime Medical Center (LMMC) in 2011 (disease duration of 1-51 years); the collection was updated within the framework of the ERDF MS project (2017-2020) and replenished during the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 “The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis” (2021-2023).</p> <p>The following pre-selected information was assessed from the clinic database for each patient for the <strong>first dataset (1 Data_MS collection)</strong>: gender, age, age of onset of multiple sclerosis (MS), year of onset, the first symptoms, exacerbations in the first year, clinical MS disease course (estimated Expanded Disability Status Scale (EDSS) at diagnosis, Disease-Modifying Therapy (DMT), clinical activity, Magnetic resonance (MR) activity, other autoimmune diseases, duration of illness, time of the transition from relapsing-remitting MS course (RRMS) to secondary-progressive MS course (SPMS); year of start SPMS, RRMS>SPMS (RRMS duration in years). Clinical information was distributed according to the development of disease progression over five visits. Information related to the forms of disability progression of MS was assessed from medical files for the given period (12 years) for a complete picture of the history of disease progression.</p> <p>The following pre-selected information was assessed from the clinic database for each patient for the first dataset <strong>(</strong><strong>2 </strong><strong>Data_MS_2011_2018_2022):</strong> <strong>Clinical</strong> <strong>data for 2011:</strong> Age, clinical course of MS, estimated Expanded Disability Status Scale (EDSS)<strong>,</strong> Clinical activity, Invalidity progression, MR activity, NEDA-3*, IgA, g/l, IgM, g/l, IgG, g/l, CD3, cell/ml, CD4, cell/ml, CD8, cell/ml, Disease-Modifying Therapy (DMT), period of therapy.</p> <p>*Progress of disease and response to treatment was evaluated in terms of “no evidence of disease activity” (NEDA) standard (Stangel, 2015) measured by relapses, progression of disability and new and/or enlarging demyelinating lesions as seen on MRI.</p> <p><strong>Updated data for 2018</strong>: Duration of illness, clinical course of MS, EDSS</p> <p><strong>Updated data</strong> <strong>for 2020-22 years:</strong> EDSS 2020 and EDSS 2022, CRP (ug/mL), µg/ml, 25-OH-Vitamin D (ng/mL), Total IgE (IU/mL), Endotoxin (LPS), EU/m, Human LBP (ng/mL), EndoCab IgA, AMU/ml, EndoCab IgG, GMU/ml, EndoCab IgG, GMU/ml.</p>
Database of NGS results of GHRL gene of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent feed efficiency status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake) is a key factor in the sheep industry. Improving feed efficiency reduces production costs. Improving Feed efficiency by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p>As with other complex traits (also referred to as quantitative or polygenic traits), Feed efficiency is controlled by many genes which are involved in several molecular mechanisms and pathways causing animal-to-animal genetic variation in different biological functions. GWAS results suggested genes impacting lipid and energy metabolism as markers of Feed efficiency. Detection of many variants in these genes is necessary to predict or identify efficient animals accurately.</p> <p>The Ghrelin (GHRL) hormone's main role is regulating feed intake, body weight and gastrointestinal motility. It stimulates appetite by acting on the hypothalamic arcuate nucleus. Ghrelin is orexigenic that transmits a hunger signal from the periphery to the central nervous system and is involved in mealtime hunger and meal initiation.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds.</p> <p>Full GHRL genes (5 exons) were sequenced using Illumina NGS technology (AmpliSeq). The GHRL gene has been sequenced in lambs of Latvia (in sheep research in Latvia) for the first time.</p> <p>Information about 106 loci was found comparing with the last reference sequences ARS_UI_Ramb_v2.0. Forty (53) loci form 11 groups with complete linkage disequilibrium between polymorphisms. Seventeen (17) new SNP (without ID number) were found.</p> <p>The database contains information on each locus for each lamb and the distribution of alleles and genotypes for each locus across all 76 samples. The data will be used in (1) analysis of Latvian sheep and (2) analysis of association with feed efficiency.</p> <p> </p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Data from: Nuts4Brain Project: The relationship between nut consumption and mental health outcomes throughout adulthood
<p>Database collected from first-year university students at the University of Castilla-La Mancha, Spain, in the years 2017-2018.</p>
Black Pooling Project
ClinicalTrials.gov study NCT00064480. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Precursors of CVD Risk Factors--Project Heartbeat
ClinicalTrials.gov study NCT00005478. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Iowa WISEWOMAN Project
ClinicalTrials.gov study NCT00153374. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Project Andale--Increasing Exercise in Hispanic Women
ClinicalTrials.gov study NCT00005749. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Illinois WISEWOMAN Project
ClinicalTrials.gov study NCT00153387. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Bag3-P209L RNA Seq Project
GEO Series GSE116200. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Genetic Basis, Quantitative Nature, and Functional Relevance of Evolutionarily Conserved DNA Methylation [EVOIMMUNOPOP project]
GEO Series GSE281199. Homo sapiens. 175 samples. Type: Methylation profiling by array.
BI Human Reference Epigenome Mapping Project: Characterization of chromatin modification by ChIP-Seq in human subject
GEO Series GSE25249. Homo sapiens. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Brain-wide Correspondence Between Neuronal Epigenomics and Long-Distance Projections [5]
GEO Series GSE231442. Mus musculus. 7868 samples. Type: Methylation profiling by high throughput sequencing.
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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.