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8,460 results for “MONITORING”
Figure 3 from: Garzon-Lopez C, Hattab T, Skowronek S, Aerts R, Ewald M, Feilhauer H, Honnay O, Decocq G, Van De Kerchove R, Somers B, Schmidtlein S, Rocchini D, Lenoir J (2018) The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing. Research Ideas and Outcomes 4: e25301. https://doi.org/10.3897/rio.4.e25301
Figure 3 Example of the workflow used for the mapping of alien plants. The same approach was used for all the tutorials.
Figure 5 from: Assou D, Segniagbeto GH, Radji R, Akiti J, Pando F (2018) Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779: 109-118. https://doi.org/10.3897/zookeys.779.26967
Figure 5 Sea turtle species considered in the survey: aLepidochelysolivaceabCheloniamydascDermochelyscoriacea.
Non-invasive monitoring of a reactive soil transition zone during water table fluctuations using spectral induced polarization (SIP) and electrodic potential (EP)
<p>Transition zones separating the unsaturated and saturated domains in soils are a hotspot for biogeochemical activity. They are challenging to study because they are dynamic, requiring high resolution temporal and spatial data acquisition methods to capture the biogeochemical processes across the water table. Non-invasive geophysical techniques, such as spectral induced polarization (SIP) and electrodic potential (EP), offer comparatively inexpensive monitoring approaches that yield data on changes in soil electrical properties, driven by reactive processes at high spatial and temporal resolutions. We investigated SIP and EP signal variations in artificial soil-filled columns, experiencing periodic water table fluctuations in order to: (1) assess the effectiveness of SIP and EP in monitoring a complex soil transition zone, and (2) couple the measured geophysical signals to changes in physical, chemical and microbial properties. SIP responses showed a clear dependence on the depth-distribution of microbial biomass. Dynamic imaginary conductivity (<em>σ''</em>) responses were only detected in the water table fluctuation zone and, in contrast to real conductivity (<em>σ'</em>) data, did not exhibit a direct soil moisture driven dependence. We attribute the observed dynamics in <em>σ'' </em>to microbially driven reactions. An EP anomaly arose concurrent to the production of SO<sub>4</sub><sup>2- </sup>as a result of oxygenation at depth during drainage of the columns. Our findings show that continuous SIP and EP signals, in conjunction with periodic measurements of geochemical indicators, can help determine the location and temporal variability of biogeochemical activity and be used to monitor targeted reaction zones and pathways in complex soil environments.</p>
Supplementary material 1 from: Ellwanger G, Runge S, Wagner M, Ackermann W, Neukirchen M, Frederking W, Müller C, Ssymank A, Sukopp U (2018) Current status of habitat monitoring in the European Union according to Article 17 of the Habitats Directive, with an emphasis on habitat structure and functions and on Germany. Nature Conservation 29: 57-78. https://doi.org/10.3897/natureconservation.29.27273
Table S1. Content of the questionnaire with explanations of the German approach :
Supplementary material 1 from: Bylemans J, Gleeson DM, Lintermans M, Hardy CM, Beitzel M, Gilligan DM, Furlan EM (2018) Monitoring riverine fish communities through eDNA metabarcoding: determining optimal sampling strategies along an altitudinal and biodiversity gradient. Metabarcoding and Metagenomics 2: e30457. https://doi.org/10.3897/mbmg.2.30457
: Data type: Microsoft Word Document (.docx)
Supplementary material 2 from: Bylemans J, Gleeson DM, Lintermans M, Hardy CM, Beitzel M, Gilligan DM, Furlan EM (2018) Monitoring riverine fish communities through eDNA metabarcoding: determining optimal sampling strategies along an altitudinal and biodiversity gradient. Metabarcoding and Metagenomics 2: e30457. https://doi.org/10.3897/mbmg.2.30457
: Data type: statistical data
Distinct roles for the cerebellum, angular gyrus and middle temporal gyrus in action-feedback monitoring
<p>Dataset associated with the following publication:</p> <p>van Kemenade, B.M., Arikan, B. E., Podranski, K., Steinsträter, O., Kircher, T., & Straube, B. (2018). Distinct roles for the cerebellum, angular gyrus and middle temporal gyrus in action-feedback monitoring. Cerebral Cortex</p>
Supplementary material 2 from: Hernández-Triana LM, Brugman VA, Nikolova NI, Ruiz-Arrondo I, Barrero E, Thorne T, de Marco MF, Krüger A, Lumley S, Johnson N, Fooks AR (2019) DNA barcoding of British mosquitoes (Diptera, Culicidae) to support species identification, discovery of cryptic genetic diversity and monitoring invasive species. ZooKeys 832: 57-76. https://doi.org/10.3897/zookeys.832.32257
: Data type: molecular data
Supplementary material 1 from: Hernández-Triana LM, Brugman VA, Nikolova NI, Ruiz-Arrondo I, Barrero E, Thorne T, de Marco MF, Krüger A, Lumley S, Johnson N, Fooks AR (2019) DNA barcoding of British mosquitoes (Diptera, Culicidae) to support species identification, discovery of cryptic genetic diversity and monitoring invasive species. ZooKeys 832: 57-76. https://doi.org/10.3897/zookeys.832.32257
: Data type: molecular data
Figure 2 from: Hernández-Triana LM, Brugman VA, Nikolova NI, Ruiz-Arrondo I, Barrero E, Thorne T, de Marco MF, Krüger A, Lumley S, Johnson N, Fooks AR (2019) DNA barcoding of British mosquitoes (Diptera, Culicidae) to support species identification, discovery of cryptic genetic diversity and monitoring invasive species. ZooKeys 832: 57-76. https://doi.org/10.3897/zookeys.832.32257
Figure 2 Neighbor joining tree of COI DNA barcodes (658 bp) for mosquito species. A divergence of > 2% may be indicative of separate operational taxonomic units. Only bootstrap values higher than 70% are shown.
Figure 1 from: Hernández-Triana LM, Brugman VA, Nikolova NI, Ruiz-Arrondo I, Barrero E, Thorne T, de Marco MF, Krüger A, Lumley S, Johnson N, Fooks AR (2019) DNA barcoding of British mosquitoes (Diptera, Culicidae) to support species identification, discovery of cryptic genetic diversity and monitoring invasive species. ZooKeys 832: 57-76. https://doi.org/10.3897/zookeys.832.32257
Figure 1 Location of study sites in the United Kingdom. Key: 1 ADAS Arthur Rickwood; 2 Church Farm; 3 Coombelands Farms; 4 Elmley Nature Reserve; 5 Glendell Livery, Mill Lane; 6 Frimley; 7 Mudchute Farm; 8 Northney Farm, Hayling Island; 9 White Lodge, Bisley; 10 Bartley Heath; 11 Dee Marsh.
System monitoring data
<p>This dataset contains the monitoring information in TeSLA systems.</p>
Supplementary material 1 from: Scott JK, Batchelor KL, Webber BL (2019) Long term monitoring of recruitment dynamics determines eradication feasibility for an introduced coastal weed. NeoBiota 50: 31-53. https://doi.org/10.3897/neobiota.50.35070
: Data type: species data
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial (Data for interventional clinical trial)
<p>Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health relevant data from patients. However, to date, limited data and results have been published detailing real-world patient compliance, demonstrating accuracy in target indications or examining what novel insights and clinical value can be derived. Here we present novel, digital mobility data from two studies: an independent, non-interventional validation study with elderly, naturally slow walking subjects, and a global, multi-site phase IIb clinical trial involving patients with age-related muscle loss and slow walking speed (sarcopenia). Based on these data, we validate the accuracy of a novel algorithm for capturing in-clinic and real-world gait speed in frail, slow-walking adults. We demonstrate the feasibility of continuous monitoring with a wearable inertial sensor in elderly adults in real-world settings, and propose minimum thresholds for compliance required for robust capture of gait behaviors in this population. We also show how simple, inferred contextual information, describing the length of a given walking bout, can explain some of the variation in real-world gait speed, and use this information to demonstrate for the first time a relationship between in-clinic performance and real-world gait speed behavior. This work lays a foundation for exploration of the clinical relevance and value of such measures and is a first step in building a more complete chain of evidence between standardized physical performance assessment, real-world behavior, and subjective perceptions of mobility, independence and health.</p> <p>This dataset contains data collected during the interventional clinical trial: derived data from raw accelerometry data, and summary performance data.</p> <p>The full dataset, including raw accelerometry data, is available here: <a href="https://mueller-et-al-2019.s3.amazonaws.com/index.html">https://mueller-et-al-2019.s3.amazonaws.com/index.html</a></p>
Supporting data for "Simultaneous monitoring of crystalline active materials and resistance evolution in lithium-sulfur batteries"
<p>This is the dataset of electrochemical and operando X-ray diffracytion experiments for our publication "Simultaneous monitoring of crystalline active materials and resistance evolution in lithium-sulfur batteries". This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p><strong>Abstract for the manuscript:</strong></p> <p>Operando X-ray diffraction (XRD) is a valuable tool for studying secondary battery materials as it allows for the direct correlation of electrochemical behavior with structural changes of crystalline active materials. This is especially true for the lithium-sulfur chemistry, in which energy storage capability depends on the complex growth and dissolution kinetics of lithium sulfide (Li<sub>2</sub>S) and sulfur (S<sub>8</sub>) during discharge and charge, respectively. In this work, we present a novel development of this method through combining operando XRD with simultaneous and continuous resistance measurement using an Intermittent Current Interruption (ICI) method. We show that a coefficient of diffusion resistance, which reflects the transport properties in the sulfur/carbon composite electrode, can be determined from analysis of each current interruption. Its relationship to the established Warburg impedance model is validated theoretically and experimentally. We also demonstrate for an optimized electrode formulation and cell construction that the diffusion resistance increases sharply at the discharge end point, which is consistent with the blocking of pores in the carbon host matrix. The combination of XRD with ICI allows for a direct correlation of structural changes with not only electrochemical properties but also energy loss processes at a non-equilibrium state, and therefore is potentially highly valuable for the study of many other energy storage chemistries.</p>
Roedsand Lagoon hydrodynamic monitoring data for JRA experiment
<p>The overall aim is to improve our ability to predict growth of eelgrass and (fine-grained) sediment transport, by being able to model the interaction of sediment dynamics as a function of eelgrass shoot density/biomass, as well as the eelgrass growth dynamics as a function of sediment dynamics. Essentially, this study focuses on establishing changes in critical bed shear stress for erosion and deposition. Time series of sediment, hydrodynamic and biological parameters provide a data basis for understanding the temporal dynamics and quantify critical shear stress and sedimentation/ erosion.</p>
Supplementary material 4 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Sequences of amplicon sequence variants in FASTA format.
Figure 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 3 Phylogenetic tree of HTS sequences generated using qiime phylogeny align-to-tree-mafft-fasttree, accepting default parameters. The graphic was rendered using the Interactive Tree Of Life (Letunic and Bork 2019). An interactive version of this tree is available at https://itol.embl.de/tree/1641591522462921555104654. Colors hightlight major taxonomic groups.
Supplementary material 3 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Amplicon sequence variant table in standard text format
Figure 2 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536
Figure 2 Comparison of identifications based on morphological and HTS methods. Columns are samples and rows are identifications. White: non-detections. Blue: morphological detections. Red: HTS detections. Purple: detections by both methods.
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.