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84 results for “Research monitoring”
Fig 3 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 3 - The effect of egg separation on embryogenesis in Locusta migratoria at 30°C. The times (mean ± SD) required to hatch for Locusta migratoria eggs kept as a mass (closed bars) or as separated eggs (open bars) at 30°C. Asterisks indicate a significant difference between the 2 treatments at the 5% level with a t-test. Error bars indicate SD. n = 13–20 each.
Fig 2 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 2 - The effects of egg separation on hatching patterns of Locusta migratoria eggs. The frequency distribution of hatching times for eggs kept in the pods (A) or in masses of 20 eggs (C) and those kept as separated eggs (B, D) when the mean hatching time was assumed to be 0 h. The relative times of hatching for the eggs kept in the pods (E) or in masses of 20 eggs (F) and those kept as separated eggs when the mean value for the former eggs was designated as 0 h. The number of hatched eggs followed by the number of tested pods in parentheses is given in each panel. Asterisks indicate a significant difference between the two treatments (p < 0.05; t-test).
Fig 7 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 7 - The effect of the time of separation of Locusta migratoria eggs on the hatching time. The differences in mean hatching times between eggs separated and those kept in contact with each other (controls) are plotted against the time of egg separation gauged based on the mean hatching time for the control eggs (A). SDs of the mean hatching times are plotted against the time of egg separation gauged based on the mean hatching time for the control eggs kept in masses (B). Open and closed circles indicate eggs separated and those kept in masses, respectively. Each datum point is based on 16–20 eggs.
Fig 14 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 14 - The effects of pairing of Locusta migratoria eggs at different ages on hatching time. A. The mean hatching intervals between the first and second hatching eggs of the mixed pairs are plotted against the differences in mean hatching time between the younger and older controls in which two eggs were kept singly. B. The differences in hatching time between the first hatching eggs of the mixed pairs and older control eggs (from early-produced pods) are plotted against the difference in hatching time between the two control eggs. C. The differences in hatching time between the second hatching eggs of the mixed pairs and younger control eggs (from late-produced pods) are plotted against the difference in hatching time between the two controls. The diagrams on the top show combinations of eggs from older eggs (gray) and younger eggs (white). A total of 38 pairs of pods were used. Closed circles in (B) and (C) indicate the means significantly different from the controls (p < 0.05; Tukey's multiple test).
Fig 11 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 11 - Hatching patterns of Locusta migratoria eggs derived from different pods and those from the same pods. As indicated above each triplet, the difference in the mean hatching times of the 2 pods (top and bottom panels) ranged from 3.6 to 80 h (A–D). In the mixed pairs (middle panel), the first and second hatchings are shown in black and light-colored bars. Different lower-case letters indicate significant differences in mean values at the 5% level with Tukey's multiple test. The diagrams on the right of the figure show combinations of eggs from two pods expressed as white and black eggs, respectively.
Fig 10 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 10 - The effect of the time of pairing of Locusta migratoria separated eggs on the time of hatching. The differences in hatching time between the paired eggs and control eggs kept as separated eggs are plotted against the time of egg clumping gauged based on the mean hatching time for the control eggs (A). Comparison of SDs of the mean hatching times (B) and the intervals of hatching in each pair (C) for the clumped eggs (closed circles) and the control eggs (open circles). Each datum point is based on 18–24 eggs.
Fig 12 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 12 - The frequency distributions of hatching intervals for Locusta migratoria egg pairs derived from different (middle panel) and from the same pods (top and bottom panels). For explanation of the experimental design, see Fig. 11. Different lower-case letters indicate significant differences in mean values at the 5% level with Steel-Dwass test. The diagrams on the right of the figure show combinations of eggs from two pods expressed as white and black eggs, respectively.
Fig 13 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 13 - Hatching patterns of Locusta migratoria eggs derived from different pods that were kept singly on day 10 and paired in contact with each other on day 12. Some eggs from the respective pods were singly kept as controls. Two pods laid on the same day (A) and different days (B) were used. In the mixed pairs (middle panel), the first and second hatchings are shown in black and light-colored bars. Different lower-case letters indicate significant differences in mean values at the 5% level with Tukey's multiple test. The diagrams on the right of the figure show combinations of eggs from two pods expressed as white and black eggs, respectively. The frequency distributions of hatching intervals for the mixed pairs are shown (C and D).
Fig 1 from: Tanaka S (2017) Locusta migratoria (Orthoptera: Acrididae) embryos monitor neighboring eggs for hatching synchrony. Journal of Orthoptera Research 26: 103-115. https://doi.org/10.3897/jor.26.20935
Fig 1 - Hatching patterns of L. migratoria eggs kept in the pods at 30°C under continuous illumination. Cumulative percentages of hatched eggs from 22 egg pods plotted against the time after the start of hatching for each pod (A). The frequency distribution of ranges from the beginning to end of hatching period from the respective pods (B).
Figure 1 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 1 DIARS toolbox workflow. The green gears correspond to the sections of the toolbox and are accompanied by boxes stating its main goal. The gray gears describe the advantages of the DIARS toolbox.
Figure 5 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 5 Some examples of reconstructed images: A. Sylt island reconstructed image and plot locations (wavelengths: 170R, 65G, 17B). B. Compiègne Forest reconstructed image and plot locations (wavelengths: 207R, 65G, 10B).
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.
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.
Supplementary material 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
RTL Genomics Data Analysis Methodology
Figure 1 from: Rutledge C, Fierke M, Careless P, Worthley T (2013) First detection of Agrilus planipennis in Connecticut made by monitoring Cerceris fumipennis (Crabronidae) colonies. Journal of Hymenoptera Research 32: 75-81. https://doi.org/10.3897/jhr.32.4865
Figure 1 - Abandoned emerald ash borer next to the nest entrance of Cerceris fumipennis at a colony in Prospect CT.
Data from: The effect of promoting current local research activities on large monitors on the population’s interest in health-related research – a randomized controlled trial
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Elkhorn Slough National Estuarine Research Reserve: Monitoring rookery of nesting herons, egrets and cormorants
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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)
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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.