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122
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Dataset results
122 results for “Monitoring methods”
Data from: Primer sets evaluation and sampling method assessment for the monitoring of fish communities in the North-western part of the Mediterranean Sea through eDNA metabarcoding
<p>Environmental DNA (eDNA) metabarcoding appears to be a promising tool for surveying fish communities. However, the effectiveness of this method relies on primer set performance and on a robust sampling strategy. While some studies have evaluated the efficiency of several primers for fish detection, it has not yet been assessed <em>in situ </em>for the Mediterranean Sea. In addition, mainly surface waters were sampled and no filter porosity testing was performed. In this pilot study, our aim was to evaluate the ability of six primer sets, targeting 12S rRNA (AcMDB07; MiFish; Tele04) or 16S rRNA (Fish16S; Fish16SFD; Vert16S) loci, to detect fish species in the Mediterranean Sea using a metabarcoding approach. We also assessed the influence of sampling depth and filter pore size (0.45 µm <em>versus</em> 5 µm filters). To achieve this, we developed a novel sampling strategy allowing simultaneous surface and bottom filtration of large water volumes along on-site the same transect. We found that 16S rRNA primer sets enabled more fish taxa to be detected across each taxonomic level. The best combination was Fish16S/Vert16S/AcMDB07, which recovered 95% of the 97 fish species detected in our study. There were highly significant differences in species composition between surface and bottom samples. Filters of 0.45 µm led to the detection of significantly more fish species. Therefore, to maximize fish detection in the studied area, we recommend to filter both surface and bottom waters through 0.45 µm filters and to use a combination of these three primer sets.</p>
Data for "Advanced Structural Health Monitoring Method by Integrated Isogeometric Analysis and Distributed Fiber Optic Sensing"
<p>This dataset includes the experiment and simulation data of a new structural health monitoring system using distributed fiber optic sensing (DFOS) and Isogeometric Analysis (IGA).</p> <p>The experiment setup was a 5mm thick PVC pipe with a fiber optic cable wrapped around the outer surface of the pipe. The PVC pipe was subjected to an applied deformation and the distributed strains along the optical fiber was measured with a Neubrescope (NBX7031) instrument using Rayleigh backscattering technology.</p> <p>The simulation was performed using the in-house code JWRIAN-IGA developed in Joining and Welding Research Institute, Osaka University. The simulated data includes deformation, stress and strain distributions of the pipe, and projected one-dimensional fiber strains. The visualization files are post-processed with ParaView software.</p>
Data from: Plant-derived environmental DNA complements diversity estimates from traditional arthropod monitoring methods but outperforms them detecting plant-arthropod interactions
<p>Our limited knowledge about the ecological drivers of global arthropod decline highlights the urgent need for more effective biodiversity monitoring approaches. Monitoring of arthropods is commonly performed using passive trapping devices, which reliably recover diverse communities, but provide little ecological information on the sampled taxa. Especially the manifold interactions of arthropods with plants are barely understood. A promising strategy to overcome this shortfall is environmental DNA (eDNA) metabarcoding from plant material on which arthropods have left DNA traces through direct or indirect interactions. However, the accuracy of this approach has not been sufficiently tested. In four experiments, we exhaustively test the comparative performance of plant-derived eDNA from surface washes of plants and homogenized plant material against traditional monitoring approaches. We show that the recovered communities of plant-derived eDNA and traditional approaches only partly overlap, with eDNA recovering various additional taxa. This suggests eDNA as a useful complementary tool to traditional monitoring. Despite the differences in recovered taxa, estimates of community α- and β-diversity between both approaches are well correlated, highlighting the utility of eDNA as a broad scale tool for community monitoring. Last, eDNA outperforms traditional approaches in the recovery of plant-specific arthropod communities. Unlike traditional monitoring, eDNA revealed fine-scaled community differentiation between individual plants and even within plant compartments. Especially specialized herbivores are better recovered with eDNA. Our results highlight the value of plant derived eDNA analysis for large-scale biodiversity assessments that include information about community level interactions.</p>
Temperature Monitoring in Cardiac Surgery: Agreement Between Different Clinical Methods
ClinicalTrials.gov study NCT04355013. IPD Sharing: NO. Countries: 1. Publications: 1.
Correlation Between EIT-based Pulse Wave Method for Pulmonary Perfusion Monitoring and Pulmonary Artery Catheter-based Stroke Volume Measurement
ClinicalTrials.gov study NCT07385963. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Primer sets evaluation and sampling method assessment for the monitoring of fish communities in the North-western part of the Mediterranean Sea through eDNA metabarcoding
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Data from: Plant-derived environmental DNA complements diversity estimates from traditional arthropod monitoring methods but outperforms them detecting plant-arthropod interactions
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Data from: Evaluation of methods to estimate nocturnal bird migration activity: A comparison of radar and nocturnal flight call monitoring in the American West
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Data from crosstalk in DAQ-based measurement platforms for structural health monitoring: Effects on damage detection and mitigation methods
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Evaluating the feasibility of using downwind methods to quantify point source oil and gas emissions using continuous monitoring fence-line sensors
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Monitoring active Osprey nests with drones is more time-efficient and less disturbing than conventional methods
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Data from: The core of the matter – Importance of identification method and biological replication for benthic marine monitoring
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Data from: An environmental DNA-based method for monitoring spawning activity: a case study, using the endangered Macquarie perch (Macquaria australasica)
Determining the timing and location of reproductive events is critical for efficient management of species. However, methods currently used for aquatic species are costly, time intensive, biased and often require destructive or injurious sampling. Hence, developing a non-invasive sampling method to accurately determine the timing and location of reproduction for aquatic species would be extremely valuable. We conducted an experimental and field study to determine the influence of spawning, and the mass release of spermatozoa in particular, on environmental DNA (eDNA) concentrations. Using a quantitative PCR approach we monitored changes in nuclear and mitochondrial eDNA concentrations over time. The data from the experimental study and the field survey supported our hypothesis that spawning events are characterized by higher concentrations of nuclear relative to mitochondrial eDNA. Outside of the reproductive period, we find that nuclear and mitochondrial DNA fragments are equally abundant in environmental water samples. We have shown that changes in the relative abundance of nuclear and mitochondrial eDNA can be used to monitor spawning activity of the endangered Macquarie perch. Our method is likely to be transferrable to other aquatic species and can be particularly useful to increase our understanding of the spawning biology of cryptic, rare or threatened species as well as design and evaluate environmental management actions and determine species establishment.
How to better count elusive birds? Comparing non-invasive monitoring methods to estimate population size of the endangered Pin-tailed sandgrouse (Pterocles alchata)
<p>Data to run analyses for manuscript comparing non-invasive monitoring methods to estimate Pin-tailed sandgrouse abundance</p>
Continuous bite monitoring method (GPEP)
<p>Determining herbage intake is pivotal for studies on grazing ecology. Direct observation of animals allows describing the interactions of animals with the pastoral environment along the complex grazing process. The objectives of the study were to evaluate the reliability of the continuous bite monitoring (CBM) method in determining herbage intake in grazing sheep compared to the standard double-weighing technique (DW) method during 45-min feeding bouts; evaluate the degree of agreement between the two techniques; and to test the effect of different potential sources of variation on the reliability of the CBM. The CBM method has been used to describe the intake behaviour of grazing herbivores. In this study, we evaluated a new approach to this method, i.e., whether it is a good proxy for determining the intake of grazing animals. Three experiments with grazing sheep were carried out in which we tested for different sources of variations, such as the number of observers, level of detail of bite coding grid, forage species, forage allowance, sward surface height heterogeneity, experiment site, and animal weight, to determine the short-term intake rate (45 min). Observer (<i>P<sub>exp1</sub></i> = 0.018, <i>P<sub>exp2</sub></i> = 0.078 and <i>P<sub>exp3</sub></i> = 0.006), sward surface height (<i>P<sub>exp2</sub></i> < 0.001), total number of bites observed per grazing session (<i>P<sub>exp2</sub></i> < 0.001 and P<i><sub>exp3</sub></i> < 0.001) and sward depletion (<i>P<sub>exp3</sub></i> < 0.001) were found to affect the absolute error of intake estimation. The results showed a high correlation and agreement between the two methods in the three experiments, although intake was overestimation by CBM on experiment 2 and 3 (181.38 and 214.24 units, respectively). This outcome indicates the potential of CBM to determining forage intake with the benefit of a greater level of detail on foraging patterns and components of the diet. Furthermore, direct observation is not invasive nor disrupts natural animal behavior.</p>
Dataset for publication 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'
<p>This dataset includes all data and information on how to reproduce the results and the figures of the paper 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'.</p>
Dataset for publication: 'Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design'
<p>This is the dataset the publication "Search Space Representation and Reduction Methods to Enhance Multi-Objective Water Supply Monitoring Design" is based on.</p>
Fig. 1 in Biology and Conservation of Cicindela ohlone Freitag and Kavanaugh (Coleoptera: Carabidae: Cicindelinae), the Endangered Ohlone Tiger Beetle. II. Population Ecology of Adults and Larvae and Recommended Monitoring Methods
Fig. 1. Marking scheme for individual identification of Ohlone tiger beetle adults used during the capturerecapture and frequency of capture studies. Some variation in the maculations exists. Numbers on the elytra represent the positions for marking each beetle with a unique identification number. Marks applied to single or multiple locations uniquely identify each marked beetle. For example, beetle #1 would have a mark at the #1 position, beetle #12 would have marks at the #2 and #10 locations, and beetle #147 would have marks at the #7, #40, and #100 locations.
Fig. 4 in Biology and Conservation of Cicindela ohlone Freitag and Kavanaugh (Coleoptera: Carabidae: Cicindelinae), the Endangered Ohlone Tiger Beetle. II. Population Ecology of Adults and Larvae and Recommended Monitoring Methods
Fig. 4. Population curves for adult Ohlone tiger beetle generations at Glenwood, Santa Cruz Co., CA. a) Triangular model in 2016, b) Multi-peak model in 2017.
Fig. 3 in Biology and Conservation of Cicindela ohlone Freitag and Kavanaugh (Coleoptera: Carabidae: Cicindelinae), the Endangered Ohlone Tiger Beetle. II. Population Ecology of Adults and Larvae and Recommended Monitoring Methods
Fig. 3. Frequency of observed dispersal distances (m) by Ohlone tiger beetle males (bars with vertical lines) and females (bars with horizontal lines).
ScienceDex guides
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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.