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7,228 results for “Modules”
Greigite formation modulated by turbidites and bioturbation in deep-sea sediments offshore Sumatra
<p>This repository contains the rock magnetic and paleomagnetic data, TOC and TN data, and XRD spectra data associated with the research paper titled "Greigite formation modulated by turbidites and bioturbation in deep-sea sediments offshore Sumatra" by Yang et al. published in Journal of Geophysical Research: Solid Earth, Volume127, Issue11, e2022JB024734, https://doi.org/10.1029/2022JB024734</p>
Supplementary data: co-modulated auditory steady-state responses
<p><strong>Supplementary data: co-modulated auditory steady-state responses</strong></p> <p><em>Original publication:</em></p> <p>Guérit, F., Marozeau, J. and Epp, B (2017) "Linear combination of auditory steady-state responses evoked by co-modulated tones". J. Acous. Soc. Am. https://doi.org/10.1121/1.5007757</p> <p><strong>Data</strong></p> <p>This repository includes:</p> <ul> <li>raw .bdf files for each subject and condition</li> <li>corresponding calibrated stimuli</li> </ul> <p>For some recordings, external electrodes were used instead the whole cap:</p> <ul> <li>EXT3: FCz</li> <li>EXT4: Cz</li> <li>EXT6: P9 or P10 (cf original publication)</li> </ul> <p><strong>Triggering:</strong></p> <p>One trigger is sent at every repetition of the stimulus (every second). This is to compensate for the slow drift between the clocks of the Biosemi and of the sound card.</p>
Single-molecule FRET reveals multiscale chromatin dynamics modulated by HP1α-Fig. 1df
<p>smTIRF-FRET Data for Fig 1, for "Single-molecule FRET reveals multiscale chromatin dynamics modulated by HP1α"</p>
Fig 3 : VisiRule Implementation Module-1-Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System
<p>The code of this flowchart is developed by the VisiRule in FLEX/ Prolog. As the source<br> code very huge it has not be incorporated in the paper.</p>
IoT Application Generation Module Expert Review Documents and Results
<p>The ZIP file contains all study documents that have been used to perform an expert review of the IoT Application Generation Module which has been developed as an extension to the eSPACE end-user authoring tool.</p> <p>It also contains the results of our study which has been performed with 6 participants (see Expert Review Results Data.pdf).</p>
Deliverable 2.4: Biodiversity impact database including characterization factors and documentation ready for use in Module C
<p><span>We quantify the impacts of agriculture and livestock, on biodiversity (including intensity of use), and translate the results of these modeling efforts which indicate current patterns of biodiversity indicators in both South America and Africa (as well as potential biodiversity loss) to data inputs to be further used in CLEVER. </span></p>
Data from: The scope and adaptive value of modulating aggression across breeding stages: Case study in a competitive female songbird
<p><span><span>In seasonally breeding animals, costs and benefits of territorial aggression should vary over time; however, little work thus far has directly examined the scope and adaptive value of individual-level plasticity in aggression across breeding stages. We explore these issues using </span><span>the tree swallow (</span></span><em><span><span>Tachycineta bicolor</span></span></em><span><span>), a bird species in which females compete for limited nesting sites</span> <span>before producing a single brood. We measured the aggressiveness of nearly 100 females within three different stages: (1) shortly after territory-establishment, (2) during early incubation, and (3) while caring for young chicks. </span></span><span><span>We used k-means clustering to categorize females into four distinct plasticity 'types' based on the timing, direction, and magnitude of their changes in aggression between stages. We then tested whether plasticity type and stage-specific aggression </span><span>vary</span><span> with </span><span>key</span><span> performance metrics.</span></span><span><span> Two of the four</span> <span>plasticity</span><span> types became less aggressive </span><span>across consecutive breeding stages</span><span>, consistent with population-level patterns, though these plasticity types </span><span>largely </span><span>did not differ from one another in survival or reproductive success</span></span><span><span>. A third type was characterized by high levels of among-stage plasticity</span><span>; </span><span>these females</span><span>, </span><span>had </span><span>significantly </span><span>lower body mass while parenting, </span><span>tended to hatch fewer eggs,</span> <span>and </span><span>had the lowest observed </span><span>overwinter survival </span><span>rates</span><span>. </span><span>A final type exhibited </span><span>limited</span><span> plasticity, with moderate to low levels of aggression </span><span>in all stages; </span><span>this low plasticity </span><span>-</span><span> low aggression phenotype</span><span> was not associated </span><span>with any </span><span>negative</span> <span>effects to </span><span>performance</span><span>.</span> <span>These</span><span> results reveal substantial among-individual variation in behavioral plasticity, which may reflect diverse solutions to trade-offs between current reproduction and future survival.</span></span></p>
Remotely sensed crown nutrient concentrations modulate forest reproduction across the contiguous United States
<p>Global forests are increasingly lost to climate change, disturbance, and human management. Evaluating forests' capacities to regenerate and colonize new habitats has to start with the seed production of individual trees and how it depends on nutrient access. Studies on the linkage between reproduction and foliar nutrients are limited to a few locations and few species, due to the large investment needed for field measurements on both variables. We synthesized tree fecundity estimates from the Masting Inference and Forecasting (MASTIF) network with crown nutrient concentrations from hyperspectral remote sensing at the National Ecological Observatory Network (NEON) across the United States. We evaluated the relationships between seed production and foliar nutrients for 56,544 tree-years from 26 species at individual and community scales. We found a prevalent association between high foliar phosphorous (P) concentration and low individual seed production (ISP) at the continental scale. With-species coefficients to nitrogen (N), potassium (K), calcium (Ca), and magnesium (Mg) are related to species differences in nutrient demand, with distinct biogeographic patterns. Community seed production (CSP) decreased four orders of magnitude from the lowest to the highest foliar P. This first study on hyperspectral imagery indicates promise for future monitoring of reproductive potential. The fact that both ISP and CSP decline at high foliar P levels has immediate applications in improving forest demographic and regeneration models by providing more realistic nutrient effects at multiple scales.</p>
Data accompanying "Unipolar Quantum Optoelectronics for High Speed Direct Modulation and Transmission in 8-14 µm Atmospheric Window"
<p>This dataset contains measurement data for the results presented in "Unipolar Quantum Optoelectronics for High Speed Direct Modulation and Transmission in 8-14 µm Atmospheric Window".</p>
Food quantity and quality modulates inducible defences in a common predator-prey system
<p><span>Zooplankton display different inducible defences against invertebrate and vertebrate predators. The response pattern to gape-limited invertebrate predators involves increased somatic growth and offspring body size but delayed maturity and reduced offspring numbers. In contrast to this general pattern, the freshwater model organism <em>Daphnia magna</em> has been reported to exhibit a different response when encountering the gape-limited tadpole shrimp <em>Triops cancriformis</em>. Under laboratory conditions, <em>D. magna</em> showed increased somatic growth, earlier maturation, and an increase in both offspring number and size. We propose here that the discrepancy between the previously observed and the theory-based response patterns against invertebrate predators is due to differences in food availability in the applied laboratory settings and assessed whether the defensive response of <em>D. magna</em> against <em>T. cancriformis</em> is modulated differently by food quantity and quality. We found a strong impact of food quantity and quality on the defence response of <em>D. magna</em> to <em>T. cancriformis</em> kairomones. The prey seem to be able to overcome trade-offs between morphological defence traits and reproductive traits, but distinctly between high food quantity and high food quality. Thereby, reproductive traits were preferred over morphological defences. Furthermore, removal of particles from the <em>T. cancriformis</em>-conditioned water caused a defence pattern in <em>D. magna</em> that was consistent with the general response pattern known from other invertebrate predators, thus explaining the described discrepancy to previous studies with <em>T. cancriformis</em>. <span> </span>Our study highlights the importance of assessing food-related effects on predator-prey interactions to understand trophic relationships and food web processes.</span></p>
Fig. 2 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. 2. Growth curves of Arcella intermedia and Pyxidicula operculata in the monospecific culture experiments (three replicates each). Dots represent the raw sampled data; colored intervals represent the 95% credibility intervals of cell counts from the Bayesian model fitting.
Fig. S2 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. S2. Posterior distributions of the logistic model parameters. The values of K are in cells cm–2, r = d–1. P is the detection probability. P has a fixed range between 0.9 and 1. Color lines represents each one of the single-species experiments, color legend is in the right corner of the figure. A.intermedia experiments are Arc 1, 2 and 3. P.operculata experiments are Pyx 1, 2 and 3.
Fig. S1 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. S1. Overview of data collection design. Microcosms are assembled and sampled by a sub- sampling strategy where the organisms are counted by eye. Model adjustment considers both the system dynamics and the sampling level.
Fig. S4. Growth curves for A.intermedia when started the experiment with a in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. S4. Growth curves for A.intermedia when started the experiment with a single cell. Color points represents each one of the single-cell experiments, color legend is in the left corner of the figure. Black line correspond to the average growth between experiments.
Fig. S3 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. S3. Posterior distributions of the competition model parameters for the species Arcella intermedia (A) and Pyxidicula operculata (P). Each colored line represent one of the replicates of the competition experiment (color legend shown in the last figure). The values of k are in a logarithmic scale of cells cm-2, r are in days–1. aAP is the competition coefficient of the influence of A species on P (Eq. 3), whereas aPA is the competition coefficient of the influence of P on A (Eq. 4).
Fig. 4 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. 4. Posterior estimates of the parameters of models fitted to cell counts in each culture. Each panel shows the medians (dots) and 95% credibility intervals (lines) of posterior distributions of one parameter of the models fitted to data from a replicate (seven for the competition cultures in lower part and three for mono-specific cultures in the upper part). In red, estimates for Arcella intermedia and in blue estimates for Pyxidicula operculata. The values of K are in cm–2, r are in days–1. The competition coefficients are α (red) and β (blue) of Eqs. 3–4.
Fig. 1 in Growth Rate Modulation Enables Coexistence in a Competitive Exclusion Scenario Between Microbial Eukaryotes
Fig. 1. Species used in this study. A – Arcella intermedia LEP isolate 6, magnification 630×. B – Pyxidicula operculata LEP isolate 1, magnification 1000×.
Fully-Automated Multicolour Structured Illumination Module for Super-resolution Microscopy
<p> </p> <p>In the rapidly advancing field of biological imaging, high-resolution techniques that are cost-effective and accessible are essential for observing and understanding intracellular dynamics. Structured illumination microscopy (SIM) is a preferred method for achieving high axial and lateral resolution in living samples due to its optical sectioning and minimal phototoxicity. However, the high cost and complexity of conventional SIM systems limit their widespread use. In our work, we present an open-source, fully-automated, two-color structured illumination module that is compatible with commercially available microscope stands. The compact design, which includes low-cost single-mode fiber-coupled lasers and a digital micromirror device (DMD), is integrated into the open-source acquisition and control software ImSwitch to facilitate real-time super-resolution imaging. This system achieves up to a 1.55-fold improvement in lateral resolution compared to conventional wide-field microscopy. </p> <p>To ensure optimal DMD diffraction performance, we developed a model using tilt and roll pixels, enabling the use of low-cost video projectors in coherent SIM setups. Our aim is to democratize SIM-based super-resolution microscopy by providing comprehensive open-source documentation and a modular software framework compatible with various hardware components (e.g., cameras, stages) and reconstruction algorithms. </p> <p>All datasets generated and analyzed during this study are openly available and can be accessed through our public repository <a href="https://opensimmo.github.io/">[repository link]</a>. The datasets include raw and processed images, calibration files, and software scripts, enabling replication and further innovation. This approach will help upgrade as many devices as possible to the super-resolution realm, fostering greater accessibility and collaboration in the scientific community</p>
FIGURE 2 in Habitat and community structure modulate fish interactions in a neotropical clearwater river
FIGURE 2 | A. Principal coordinate analysis (PCoA) showing ordination of samples according to substratum composition (i.e., habitat categorization); B. PCoA performed with the abundance of fishes, points sized according to the sum of the abundance in the sample (logarithm scaled for better visualization); C. PCoA performed with the biomass of fishes, points sized according to the sum of the biomass in the sample (logarithm scaled for better visualization). Red lines indicate significative variables (p <0.05) while black lines nonsignificative. Anc spp = Ancistrus spp., Ast lac = Astyanax lacustris, Ast mar = Astyanax marionae, Bry mel = Bryconops melanurus, Cha spp = Characidium spp., Hyp equ = Hyphessobrycon eques, Jup aca = Jupiaba acanthogaster, Lep vit = Leporellus vittatus, Lep fri = Leporinus friderici, Meg mac = Megaleporinus macrocephalus, Odo peq = Odontostilbe pequira, Par nas = Parodon nasus, Phe teg = Phenacogaster tegatus, Pia mes = Piaractus mesopotamicus, Pro lin = Prochilodus lineatus, Sal bra = Salminus brasiliensis.
FIGURE 3 in Habitat and community structure modulate fish interactions in a neotropical clearwater river
FIGURE 3 | Feeding pressure of the 18 fishes that bit the substratum, and their respective trophic groups (colours) at the Olho d´Água River. Black diamonds and lines represent the mean ± standard error, respectively. Habitats in which certain species did not fed on the substratum (zero values) are not represented in the graph. The Y-axis scale is log10 -transformed to better show data dispersion.
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.