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11,506 results for “Dynamics”
Phase portrait and potential energy function of the dynamical system corresponding to modified ZK equation for ion-acoustic waves in a magnetized electron-ion plasma with generalized (r, q) distributed electrons
<p>These figures (a) and (b) represent phase portrait and potential energy function of the dynamical system corresponding to the mZK equation for ion-acoustic waves in a magnetized electron-ion plasma with generalized (r, q) distributed electrons for q = 5 and r = 0.1. These figures contain three fixed points P<sub>0,</sub> P<sub>1 </sub>and P<sub>2</sub> with one separatrix. The figure (a) contains one family of supernonlinear periodic orbits, two families of periodic orbits and one pair of homoclinic orbits at P<sub>0. </sub>The figure (b) contains the potential energy function with two local minima and one maxima which is necessary condition for supernonlinear wave. </p>
Dataset on the dynamics of shallow wakes in gravel-bed floodplains: results of the field experiments on the Tagliamento River, Italy
<p>Shallow wakes in fluvial environments are hydrodynamic structures produced by in-stream obstructions such as boulders, log jams, patches of riparian and aquatic vegetation. Dynamics of wakes affect a range of biotic and abiotic processes including dispersal of aquatic organisms, mixing of pollutants, sediment deposition and therefore geomorphological changes in rivers. Despite their importance, fundamental mechanisms of shallow wakes development are not fully understood due to lack of experimental data collected in natural environments and free of scaling effects compared to laboratory studies. Present dataset provides explicit information on hydrodynamics of shallow wake flows produced by solid and porous instream obstructions. Controlled field experiments with 30 runs were conducted at the side-branch of the gravel-bed Tagliamento River in the North-Eastern Italy in the period from July till October 2019. During the experimental campaign we varied characteristics of the instream obstructions (their diameter, solid volume fraction, submergence and porosity at the leading edge) and approach velocity. Each run included: (1) measurements of mean velocity and turbulence in the longitudinal (25-30 sampling locations) and lateral transects (8-10 transects with 14 sampling locations) of the constructed experimental channel where model obstructions were placed; (2) detailed surveys of the free surface topography; and (3) flow visualizations and recordings of the wakes patterns using a drone. The dataset is intended to be used for understanding fundamental mechanisms of shallow wakes development in natural fluvial environments, examination of scaling effects and verification of numerical models.</p>
Stepwise construction of dynamic microscale concentration gradients around hydrogel-encapsulated cells in a microfluidic perfusion culture device
<p><span>Inside living organisms, concentration gradients dynamically change as biological processes progress. Therefore, methods to construct dynamic microscale concentration gradients in a spatially controlled manner are needed to provide more realistic research environments. Here, we report a novel method for the construction of dynamic microscale concentration gradients in a stepwise manner around cells in micropatterned hydrogel. In our method, cells are encapsulated in a photodegradable hydrogel formed inside a microfluidic perfusion culture device, and perfusion microchannels are then fabricated in the hydrogel by micropatterned photodegradation. The cells in the micropatterned hydrogel can then be cultured by perfusing culture medium through the fabricated microchannels. By using this method, we demonstrate the simultaneous construction of two dynamic concentration gradients, which allowed us to expose the cells encapsulated in the hydrogel to a dynamic microenvironment.</span></p>
Actin chromobody imaging reveals sub-organellar actin dynamics
<p>This dataset contains all of the raw imaging data and quantification we used for our manuscript here: <a href="https://doi.org/10.1038/s41592-020-0926-5">https://doi.org/10.1038/s41592-020-0926-5</a></p>
Sub-picosecond to Sub-nanosecond Vibrational Energy Transfer Dynamics in Pentaerythritol Tetranitrate
<p><strong>Experimental Data</strong></p> <p>All data are saved as a .csv file. Each transient .csv file is labeled according to molecule, file contents, polarization, pump laser power, spectrometer grating position, and a date (<em>e.g</em>. PETN_TA_para_1.8mW_11.1um_06Feb2020.csv). The first column contains frequencies (in cm<sup>-1</sup>) while the first row indexes each time delay (in ps). Transient spectra at select time delays are similarly labeled (<em>e.g</em>. PETN_spectra_7.8um_FTIRcorr_07Feb2020.csv) with the same data organization within each file. The select transient spectra shown at 1660 cm-1 were taken from the 6.1 µm "TA" dataset. The static PETN FTIR and 33°C ThDIR spectra are given as two column .csv files: the first column is frequency (in cm<sup>-1</sup>) while the second column is either transmission<br> or <span class="math-tex">\(\Delta \mathrm{OD}\)</span>.</p> <p><strong>Theory Data</strong></p> <p>Included in the data repository are all of the necessary inputs to perform the vibrational analysis using the Phonopy software package. The minimized PETN crystal used in the nite displacement calculations is given as a POSCAR file format to be used in VASP, the enumeration of all displacements used in the first anharmonic expansion is given in disp_fc3.yaml. The collection of all individual VASP calculations into second- and third-order force constants are contained in the .hdf5 files. The remaining files contain all of the details for the Phonopy calculations performed, per-mode population adjustments in the JDOS are achieved by modifying the phono3py/phonon3/triplets.py source code file which is distributed with all versions of the code. Short movies of each IR mode and all phonon modes between 0–800 cm<sup>-1</sup> are presented in .gif format; filenames are either the calculated frequency or, in the case of several modes, the approximate center frequency.</p>
The impacts of tropical forest degradation and fragmentation on ant-plant mutualisms, and consequences for plant community dynamics
<b>Description: </b><p>Myrmecophyte interactions in differing habitats</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/119"><b>The impacts of tropical forest degradation and fragmentation on ant-plant mutualisms, and consequences for plant community dynamics</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>GACR (National, 16-09427S, <a href="NA">NA</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence NA)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3979296">here</a></p><p><b>Files: </b>This consists of 1 file: M.pearsonii_habitat_comparison_OP_Matrix_MH_August.xlsx</p><p><b>M.pearsonii_habitat_comparison_OP_Matrix_MH_August.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Branch data</b> (described in worksheet Branch_data)</p><p>Description: Branch data</p><p>Number of fields: 86</p><p>Number of data rows: 611</p><p>Fields: </p><ul><li><b>Tree_code</b>: Tree ID (Field type: location)</li><li><b>Branch_code</b>: Branch code (Field type: id)</li><li><b>Coccids</b>: Number of coccids on br0nches (Field type: numeric interaction)</li><li><b>Brood1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants_7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>damaged_queens</b>: Number of damaged ants (Field type: numeric interaction)</li><li><b>wasp</b>: Number of wasps (Field type: numeric interaction)</li><li><b>Notes</b>: Comments (Field type: comments)</li></ul></li><li><p><b>Tree data</b> (described in worksheet Tree_data)</p><p>Description: Tree data, including soil nutrient profiles</p><p>Number of fields: 23</p><p>Number of data rows: 84</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Tree</b>: Tree ID (Field type: id)</li><li><b>Tree_code</b>: Tree ID code (Field type: location)</li><li><b>Habitat</b>: Habitat type (Field type: categorical)</li><li><b>Number_ants_first_5_leaves</b>: Number of ants on first 5 leaves (Field type: numeric trait)</li><li><b>DBH</b>: Diametre at breast height (Field type: numeric trait)</li><li><b>Height</b>: Tree height (Field type: numeric trait)</li><li><b>N</b>: Canopy cover (Field type: numeric trait)</li><li><b>S</b>: Canopy cover (Field type: numeric trait)</li><li><b>E</b>: Canopy cover (Field type: numeric trait)</li><li><b>W</b>: Canopy cover (Field type: numeric trait)</li><li><b>Canopy_cover</b>: Canopy cover (Field type: numeric trait)</li><li><b>Leaf_biomass</b>: Leaf biomass (Field type: numeric trait)</li><li><b>Total_branches</b>: Total number of branches (Field type: numeric trait)</li><li><b>Phosphate</b>: Leaf phosphates (Field type: numeric trait)</li><li><b>Nitrate</b>: Leaf nitrates (Field type: numeric trait)</li><li><b>Total_wet_weight</b>: Total soil wet weight (Field type: numeric trait)</li><li><b>Wet_weight_sample</b>: Soil wet weight (sample) (Field type: numeric trait)</li><li><b>Dry_weight_sample</b>: Soil dry weight (sample) (Field type: numeric trait)</li><li><b>pH</b>: Leaf pH (Field type: numeric trait)</li><li><b>Dry_Wet_ratio</b>: Soil wet: dry weight ratio (Field type: numeric trait)</li><li><b>Total_dry_weight</b>: Total soildry weight (Field type: numeric trait)</li><li><b>Density</b>: Soil density (Field type: numeric trait)</li></ul></li><li><p><b>All M.Pearsonii-Herbivory data</b> (described in worksheet All_Pearsonii-Herbivory_data)</p><p>Description: Summarised version of data used for analysis</p><p>Number of fields: 17</p><p>Number of data rows: 86</p><p>Fields: </p><ul><li><b>Date</b>: Date the measurements were taken (Field type: date)</li><li><b>Tree</b>: Tree tag (Field type: id)</li><li><b>Tree_Code</b>: Tree code (Field type: id)</li><li><b>Habitat</b>: Habitat type (Field type: categorical)</li><li><b>Tree_Height_Rank</b>: Tree height rank (Field type: categorical)</li><li><b>Corrected_Leaf_Biomass</b>: Corrected leaf biomass (Field type: numeric trait)</li><li><b>Herbivory</b>: Leaf herbivory (Field type: numeric trait)</li><li><b>Coccids</b>: Coccid abundance (Field type: numeric interaction)</li><li><b>Ant_abundance</b>: Ant abundance (Field type: numeric interaction)</li><li><b>Ant_ranked_abundance</b>: Ant coverage ranked (Field type: categorical)</li><li><b>Brood</b>: Ant abundance (Field type: numeric interaction)</li><li><b>Biomass_height_ratio</b>: Tree biomass to height ratio (Field type: numeric trait)</li><li><b>Coccid_ant_ratio</b>: Coccid to ant ratio (Field type: numeric)</li><li><b>Brood_ant_ratio</b>: Brood to ant ratio (Field type: numeric trait)</li><li><b>Attendence_ratio</b>: Attendence ratio (Field type: numeric)</li><li><b>DomTaxa</b>: Taxa record for the dominant species (Field type: taxa)</li><li><b>Dominant_species</b>: Is there a dominant species? (Field type: categorical interaction)</li></ul></li></ol><p><b>Date range: </b>2016-11-19 to 2017-11-24</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Malpighiales <br> -  -  -  -  -  Euphorbiaceae <br> -  -  -  -  -  -  <i>Macaranga</i> <br> -  -  -  -  -  -  -  <i>Macaranga pearsonii</i> <br> -  Animalia <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  -  sp.1 <br> -  -  -  -  -  -  sp.2 <br> -  -  -  -  -  -  sp.4 <br> -  -  -  -  -  -  sp.5 <br> -  -  -  -  -  -  sp.6 <br> -  -  -  -  -  -  sp.7 <br> -  -  -  -  -  -  sp.8 <br> -  -  -  -  -  -  sp.9 <br> -  -  -  -  -  -  sp.10 <br> -  -  -  -  -  -  sp.11 <br> -  -  -  -  -  -  sp.12 <br> -  -  -  -  -  -  sp.13 <br> -  -  -  -  -  -  sp.14 <br> -  -  -  -  -  -  sp.15 <br> -  -  -  -  -  -  sp.16 <br> -  -  -  -  -  -  sp.17 <br> -  -  -  -  -  -  sp.18 <br> -  -  -  -  -  -  sp.19 <br> -  -  -  -  -  -  sp.20 <br> -  -  -  -  -  -  sp.21 <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coccidae <br></div><p></p>
Figure 6. A in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 6. A schematic cross-section of the study wetland (Mallín Crespo) contrasting the condition of the three studied ponds (P1, P2 and P3) during hydrological phases: isolation and connected periods. Distances between ponds, the weather station and sheep are not to scale. Volume (m3) is indicated below each pond. Environment variables are: water temperature (WT), precipitation (PP), pH, specific conductivity (C), dissolved oxygen (DO), total suspended solids (TSS), total nitrogen (TN), and total phosphorus (TP). Invertebrate attributes are: taxa richness (R) density (D), biomass (B) and dominant functional feeding groups (FFG). Dominant taxa in terms of density and frequency are listed over each pond. Bold letters are used for taxa that are also dominants in biomass. For both periods first and second dominant FFG are represented. P, predators; CG, collector–gatherers; and CF, collector–filterers.
Figure 4 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 4. Seasonal patterns of functional feeding groups (FFG), (A) by density (103 individuals m−3) and (B) by biomass [g DM m−3] at three ponds (May 2008 to April 2009) of Mallín Crespo wetland (Argentina). Sh, shredders; Sc, scrapers; P, predators; CG, collector–gatherers; CF, collector–filterers; P–H, piercers herbivores.
Figure 2 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 2. Seasonal variation of particulate organic matter (POM, dashed lines) and aquatic plant coverage (solid line) at three ponds on a Patagonian steppe wetland (Argentina) during the study period (May 2008 to April 2009). Categories of aquatic plant coverage explained in methodology. Livestock stocking period is indicated in the figure (black bar).
Figure 1 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 1. (A) Location of the sampling sites (P1, P2 and P3) at Mallín Crespo (Chubut Province, Patagonia, Argentina) during connected (June–December) and hydrologically isolated (January–May) periods. The three ponds are in the same scale. (B) Daily rain (dashed line) and mean daily air temperature (solid line), from May 2008 to April 2009. (C–E) Physicochemical variables sampled monthly and once per pond. Dashed line (D), indicates unavailable data.
Figure 1 in Investigating the influence of habitat type and weather conditions on the population dynamics of land snails Vertigo angustior Jeffreys, 1830 and Vertigo moulinsiana (Dupuy, 1849). A case study from western Poland
Figure 1. (A) Precipitation in the studied sites in consecutive months of 2008; dashed bars – sampling months. (B) and (C) Abundance of individuals: juveniles (white bars) and adults (black bars) of Vertigo angustior (B) and Vertigo moulinsiana (C) in each sampling event in the Ilanka and Pliszka sites in 2008.
Figure 3 in Terrestrial isopods and myriapods in a forested scree slope: subterranean biodiversity, depth gradient and annual dynamics
Figure 3. Activity dynamics of isopod Ligidium germanicum (LIGE); diplopods Mecogonopodium carpathicum (MECA), Polydesmus denticulatus (PODE), Trachysphaera acutula (TRAC); and centipedes Harpolithobius anodus (HAAN), Lithobius forficatus (LIFO), during the period November 2008– November 2009.
Figure 2 in Terrestrial isopods and myriapods in a forested scree slope: subterranean biodiversity, depth gradient and annual dynamics
Figure 2. The non-metric multidimensional scaling ordination analysis (NMS) diagram of Isopoda and Myriapoda collected during both sampling periods; variance explained by axes 1 and 2 as 87.0% and 8.7%, respectively (triangles – depths, dots – species). Abbreviations: i – Isopoda: LIGE – Ligidium germanicum, MEGR – Mesoniscus graniger, TRCA – Trichoniscus carpaticus; d – Diplopoda: JUCU – Julus curvicornis, LEMA – Leptoiulus mariae, LETR – L. trilobatus, MECA – Mecogonopodium carpathicum, POCO – Polydesmus complanatus, PODE – Polydesmus denticulatus, TRAC – Trachysphaera acutula, STST – Strongylosoma stigmatosum; c – Chilopoda: HAAN – Harpolithobius anodus, LI - Lithobius sp. juv., LIFO – Lithobius forficatus, LILU – Lithobius lucifugus; STAC – Strigamia acuminata, STTR – Strigamia transsilvanica.
Water availability drives fine root dynamics in a Eucalyptus woodland under elevated atmospheric CO2 concentration
<p>Fine roots are a key component of carbon and nutrient dynamics in forest ecosystems. Rising atmospheric [CO<sub>2</sub>] (eCO<sub>2</sub>) is likely to alter the production and activity of fine roots, with important consequences for forest carbon storage. Yet empirical evidence of the role of eCO<sub>2</sub> in driving root dynamics in low-nutrient forested ecosystems is limited, particularly for grassy woodlands, an ecosystem type of global importance.</p> <p>We sampled fine roots across seasons over a two-year period to examine the effects of eCO<sub>2</sub> on their biomass, production, turnover and functional traits in a native mature grassy <i>Eucalyptus</i> woodland in eastern Australia (EucFACE).</p> <p>Fine root biomass, production and turnover varied greatly through time, increasing as soil water content declined. Despite a lack of persistent effects of eCO<sub>2</sub> on fine root biomass, production or turnover across the two-year sampling period, we found enhanced production pulses under eCO<sub>2</sub> between 10-30 cm soil depth. These eCO<sub>2</sub>-driven production pulses were associated with large changes in abiotic conditions. In addition, eCO<sub>2</sub> led to greater carbon and phosphorus concentrations in fine roots and increased root diameter, but no detectable effects on other morphological traits.</p> <p>Synthesis. We found minor quantitative effects of eCO<sub>2</sub> on fine root biomass dynamics that were largely driven by temporal variations in soil water availability. Our results suggest that in this mature grassy woodland, and perhaps also in other similar forested ecosystem types characterized by low phosphorus content in the soil, eCO<sub>2</sub> effects are small and transient. This suggests limited belowground fine root productivity responses to rising atmospheric CO<sub>2</sub> concentrations and, thus, perhaps also a limited ability of these systems to mitigate climate change through belowground mechanisms.</p>
Figure 6 in Population dynamics of the gall inducer Eriogallococcus isaias (Hemiptera: Coccoidea: Eriococcidae) on Pseudobombax grandiflorum (Malvaceae)
Figure 6. Diagram representing the synchrony between the host Pseudobombax grandiflorum and the gall stages induced by Eriogallococcus isaias.
Figure 7 in Population dynamics of the gall inducer Eriogallococcus isaias (Hemiptera: Coccoidea: Eriococcidae) on Pseudobombax grandiflorum (Malvaceae)
Figure 7. Population structure of Eriogallococcus isaias during 2009. Each graphic represents four harvests of galls (3-day span) except for (H), which represents five harvests. (A) samples 1–4 (n = 80 galls); (B) samples 5–8 (n = 80 galls); (C) samples 9–12 (n = 80 galls); (D) samples 13–16 (n = 79 galls); (E) samples 17–20 (n = 79 galls); (F) samples 21–24 (n = 78 galls); (G) samples 25–28 (n = 71 galls); (H) samples 29–33 (n = 94 galls). The first sample was harvested 3 days after flushing, and the last sample, 99 days later. 2nd I, second-instar nymphs; 3rd IM, third-instar male nymphs; 4th IM, fourth-instar male nymphs; AM, adult male; AF, adult female; AF + E, adult female with eggs; AF + C, adult female with crawlers); EG, empty galls.
Figure 2 in Population dynamics of the gall inducer Eriogallococcus isaias (Hemiptera: Coccoidea: Eriococcidae) on Pseudobombax grandiflorum (Malvaceae)
Figure 2. Representation of the vegetative phenology of Pseudobombax grandiflorum, from March 2008 to February 2009, according to two methods of data analyses: index of activity and percentage of intensity of Fournier. (A) leaf flushing; (B) expanded leaves; (C) senescent leaves; (D) leaf fall.
Figure 3 in Population dynamics of the gall inducer Eriogallococcus isaias (Hemiptera: Coccoidea: Eriococcidae) on Pseudobombax grandiflorum (Malvaceae)
Figure 3. Features of Eriogallococcus isaias and of its galls on Pseudobombax grandiflorum. (A) crawlers (red nymphs), second-instar nymphs (pale yellow nymphs), and a moult on stem bark. Detail in minor square; (B) second-instar nymph (arrow) on a young leaf surface seen with scanning electron microscopy; (C, D) young leaflets with galls in the phase of growth and development; (E, F) mature leaflets with mature galls. Detail of gall with the aciculate projection towards the adaxial surface; (G) mature leaflet with mature gall. Senescent gall on detail, opening towards the abaxial surface.
Figure 1 in Population dynamics of the gall inducer Eriogallococcus isaias (Hemiptera: Coccoidea: Eriococcidae) on Pseudobombax grandiflorum (Malvaceae)
Figure 1. Habitus of Pseudobombax grandiflorum. (A) tree with expanded leaves; (B) tree in deciduous stage.
Data set of ICSE 2021 paper submission "Static and Dynamic Analysis for the Migration of Monolith Systems to a Microservices Architecture"
<p>Data set of ICSE 2021 paper submission "Static and Dynamic Analysis for the Migration of Monolith Systems to a Microservices Architecture"</p>
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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.