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ShareScore release 0.9.0
Dataset results
28 results for “environmental flows”
Data From "Radar-Based Deep Learning for Debris Flow Identification amid the Environmental Disturbances"
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Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels, Dreissena rostriformis bugensis in flowing water
<ol> <li>The early detection of invasive non-native species (INNS) <span><span>is important for informing management actions</span></span>. Established monitoring methods require the collection or observation of specimens, which is unlikely at the beginning of an invasion when densities are likely to be low. Environmental DNA (eDNA) analysis is a highly promising technique for the detection of INNS – particularly during the early stages of an invasion. </li> <li>Here, we compared the use of traditional kick-net sampling with two eDNA approaches (targeted detection using both conventional and quantitative PCR, and passive detection via metabarcoding with conserved primers) for detection of quagga mussel, <i>Dreissena rostriformis bugensis;</i> a high priority INNS, along a density gradient on the River Wraysbury, UK. </li> <li>All three molecular tools outperformed traditional sampling in terms of detection. Conventional PCR and qPCR both had 100% detection rate in all samples, and outperformed metabarcoding when the target species was at low densities. Additionally, quagga mussel DNA copy number (qPCR) and relative read count (metabarcoding) were significantly influenced by both mussel density and distance from source population, with distance being the most significant predictor. </li> <li> <i>Synthesis and application.</i> All three molecular approaches were more sensitive than traditional kick-net sampling for the detection of the quagga mussel in flowing water, and both qPCR and metabarcoding enabled estimates of relative abundance. Targeted approaches were more sensitive than metabarcoding, but metabarcoding has the advantage of providing information on the wider community, and consequently impacts of INNS. </li> </ol>
Supplementary information to "Actual sources of life cycle impacts: elementary processes and flows causing environmental impacts for a typical Brazilian building"
<p>Electronic Supplementary Material with the underlying data of the manuscript entitled "Actual sources of life cycle impacts: elementary processes and flows causing environmental impacts for a typical Brazilian building", including:</p> <p>- A spreadsheet containing all the data used in the LCA of the analyzed building</p> <p>- A PDF file with an explanation of the process contribution function used in the analysis</p>
Post-fire Debris Flows: Leveraging Science for Environmental Management and Community Resiliency
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Productivity of riparian Populus forests: satellite assessment along a prairie river with an environmental flow regime
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Gene flow limits adaptation along steep environmental gradients
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Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels, Dreissena rostriformis bugensis in flowing water
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Cerebral Blood Flow and PETCO2 on Neuromuscular Function During Environmental Stress
ClinicalTrials.gov study NCT01830335. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.