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Dataset results
982 results for “interface”
Data from: Using adversarial networks to extend brain computer interface decoding accuracy over time
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Data from: BubbleID: A deep learning framework for bubble interface dynamics analysis
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Data from: SLICE-MSI: A machine learning interface for system suitability testing of mass spectrometry imaging platforms
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Data from: Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces
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Data from: The impact of task context on predicting finger movements in a brain-machine interface
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Dataset for article: Co-evolutionary landscape at the interface and non-interface regions of protein-protein interaction complexes
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McMurdo Dry Valleys Cation, Anion Concentrations Along Lake Sediment/Water Interface
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic aqueous geochemical sampling program has been undertaken. A series of water samples have been collected and analyzed for major ion chemistry by ion chromatography. The concentrations of ions cover a wide range of total dissolved solids from fresh to hypersaline lake waters. This dataset shows concentrations of lithium, sodium, potassium, magnesium, calcium, iron, chlorine, bromine, and SO4 found along the sediment/water interface of Taylor Valley lakes.
Topographic survey in the forest-marsh interface of Eastern Shore National Wildlife Refuge
We collected RTK GPS points in the Eastern Shore of Virginia National Wildlife Refuge near the tip of the Delmarva Peninsula. Survey points have the UTM 18N Easting and Northing coordinates, the NAVD88 elevation in meters, an identifier for the site ("hollow" or "hillslope") and a point code ("ALIVE" for mature live trees, "DEAD" for dead trees, and "SAPLING" for young trees).
Dataset of GFRP cross-plies laminates observations for study of fiber/matrix interface crack growth
<p>This is the dataset which has been developed during the project course T009T at LTU (Luleå Tekniska Universitet) from September to December 2019.</p> <p>It contains mechanical data and microscopic observations done on GFRP cross-plies laminates [0,902]s and [0,903]s at different strain levels, from 0.3% to 1.0%.</p>
DATA SET FOR PUBLICATION: Structure Determination of Hen Egg-White Lysozyme Aggregates Adsorbed to Lipid/Water and Air/Water Interfaces
<p>The data set collected for the publication: "Structure Determination of Hen Egg-White Lysozyme Aggregates Adsorbed to Lipid/Water and Air/Water Interfaces" (<a href="https://doi.org/10.1021/acs.langmuir.9b03826">https://doi.org/10.1021/acs.langmuir.9b03826</a>).</p>
Data Files for PyGDSM: Python interface to the Global Diffuse Sky Model
<p>HDF5 data files for PyGDSM: Python interface to Global Diffuse Sky Models</p> <p>PyGDSM is a Python interface for the Global Diffuse Sky Models (GDSM ascl:1011.010). GDSM are models of diffuse galactic radio emission, constructed from a variety of all-sky surveys spanning the radio band (e.g. Haslam and WMAP). PyGDSM uses the Global Sky Model (GSM2008) of <a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2008.13376.x/abstract">Oliveira-Costa et. al., (2008)</a>, <a href="http://arxiv.org/abs/1605.04920">Zheng et. al., (2016)</a> model GSM2016, and <a href="https://lda10g.alliance.unm.edu/LWA1LowFrequencySkySurvey/">LWA1 Low Frequency Sky Model</a> (LFSM). The PyGDSM module provides visualization utilities, file output in FITS format, and the ability to generate observed skies for a given location and date. PyGDSM requires <a href="https://healpy.readthedocs.org/en/latest/">Healpy</a>, PyEphem (ascl:1112.014), and AstroPy (ascl:1304.002).</p>
Data from: A multiscale biophysical model for the recruitment of actin nucleating proteins at the membrane interface
<p>The dynamics and organization of the actin cytoskeleton are crucial to many cellular events such as motility, polarization, cell shaping, and cell division. The intracellular and extracellular signaling associated with this cytoskeletal network is communicated through cell membranes. Hence the organization of membrane macromolecules and actin filament assembly are highly interdependent. Although the actin-membrane linkage is known to happen through many routes, the major class of interactions is through the direct interaction of actin-binding proteins with the lipid class containing poly-phosphatidylinositols (PPIs). Among the PPIs, phosphatidylinositol bisphosphate (PI(4,5)P<sub>2</sub>) acts as a significant factor controlling actin polymerization in the proximity of the membrane by binding to actin-associated proteins. The molecular interactions between these actin-binding proteins and the membrane lipids remain elusive. Here, using molecular modeling, analytical theory, and experimental methods, we investigate the binding of three different actin-binding proteins, mDia2, NWASP, and gelsolin, to membranes containing PI(4,5)P<sub>2</sub> lipids. We perform molecular dynamics simulations on the protein-bilayer system and analyze the membrane binding in the form of hydrogen bonds and salt bridges at various PI(4,5)P<sub>2</sub> and cholesterol concentrations. Our experimental study with PI(4,5)P<sub>2</sub>-containing large unilamellar vesicles mimics the computational experiments. Using the multivalencies of the proteins obtained in molecular simulations and the cooperative binding mechanisms of the proteins, we also propose a multivalent binding model that predicts the actin filament distributions at various PI(4,5)P<sub>2 </sub>and protein concentrations.</p>
Dataset and script for the manuscript Lobet et al. 2020 presenting the QuoVidi web interface
<p>Dataset and scripts used for the figure of the manuscript "QuoVidi : a open-source web application for the organisation of large scale biological treasure hunt" by Guillaume Lobet, Charlotte Descamps, Lola Leveau, Alain Guillet and Jean-François Rees (2020)</p>
Data from: Heterospecific mating interactions as an interface between ecology and evolution
<p>Reproductive interference (costly interspecific sexual interactions) are well-understood to promote divergence in mating-relevant traits (i.e. reproductive character displacement: RCD), but it can also reduce population growth, eventually leading to local extinction of one of the species. The ecological and evolutionary processes driven by reproductive interference can interact with each other. These interactions are likely to influence whether the outcome is co-existence or extinction, but remain little studied. In this paper, we first develop an eco-evolutionary perspective on reproductive interference by integrating ecological and evolutionary processes in a common framework. We also present a simple model to demonstrate the eco-evolutionary dynamics of reproductive interference. We then identify a number of factors that are likely to influence the relative likelihoods of extinction or RCD. We discuss particularly relevant factors by classifying them into four categories: the nature of the traits responding to selection, the mechanisms determining the expression of these traits, mechanisms of reproductive interference, and the ecological background. We highlight previously underappreciated ways in which these factors may influence the relative likelihoods of RCD and local extinction. By doing so, we also identify questions and future directions that will increase our holistic understanding of the outcomes of reproductive interference.</p>
Landscape heterogeneity shapes bird phylogenetic responses at forest-matrix interfaces in Atlantic Forest, Brazil
<p>Agricultural intensification is one of the major factors driving biodiversity loss. However, most studies in human-dominated landscapes have used taxonomic diversity in their analysis, ignoring evolutionary relationships. Consequently, the relationship between landscape structure and phylogenetic diversity is not well understood. Here, we tested the hypothesis that landscape heterogeneity is positively related to bird phylogenetic indexes of diversity and structure, leading to over-dispersed phylogenies in very heterogeneous landscapes. We analyzed phylogenetic responses in interfaces between forest edges and anthropogenic matrices (forest-pasture and forest-eucalyptus) using generalized linear mixed models. We also compared these indexes between land covers to assess which one best preserves the phylogenetic history of communities. We used both traditional phylogenetic indexes and those corrected for species richness. Our results showed that phylogenetic diversity varied significantly between land cover types, but this did not occur when we removed effects associated with species richness, suggesting that all land covers preserve similar levels of evolutionary history. Additionally, our best models showed a positive relationship between landscape heterogeneity and bird phylogenetic indexes of diversity and structure, but the strength of these relationships may be land-cover dependent. In summary, our work highlights the influence of landscape heterogeneity on the phylogenetic diversity and structure of bird communities, reinforcing the need for its incorporation into conservation-based studies.</p>
Adapting ADCI Windows Desktop Graphical User Interface to ADCI-HT on IBM BG/Q.
<p>Supplementary Figure 1. <strong>Adapting ADCI Windows Desktop Graphical User Interface to ADCI-HT on IBM BG/Q. </strong>Data flow diagram illustrating the steps required to perform metaphase image processing tasks using A) Windows ADCI, and B) BG/Q ADCI (ADCI-HT) software platforms.</p>
Spatiotemporal study of iron oxide nanoparticle monolayer formation at liquid/liquid interfaces by using in situ small-angle x‐ray scattering
<p>Spatial and temporal small angle x-ray scattering (SAXS) scans show that 8.6 and 11.8 nm iron oxide nanoparticles (NPs) in heptane drop-cast on top of a heptane layer atop a diethylene glycol (DEG) layer are trapped at the DEG/heptane interface to generally form a single ordered, hexagonal close packed monolayer (ML), and this occurs long before the heptane evaporates. Many NPs remain dispersed in the heptane after this NP assembly. Assembly occurs faster than expected from considering only the diffusion of NPs from the drop-cast site to this liquid/liquid interface. The formation of the ordered NP ML occurs within 100 s of drop-casting, as followed by using the (10) ordered NP SAXS peak, and on the same time scale there is a concomitant decrease in the SAXS form factor from disordered NPs that is apparently from disordered NPs at the meniscus. Usually, most of the ordered NPs are close packed, but there is evidence that some are ordered though not close packed. After the heptane evaporates, a close-packed ordered NP ML remains at the DEG/vapor interface, though with smaller NP--NP separation, as expected due to less van der Waals shielding caused by the upper medium in the interface. x-ray beam transmission at different vertical heights characterizes the heptane and DEG bulk and interfacial regions, while monitoring the time dependence of SAXS at and near the DEG/heptane interface gives a clear picture of the evolution of NP assembly at this liquid/liquid interface. These SAXS observations of self-limited NP ML formation at the DEG/heptane interface are consistent with those using the less direct method of real-time optical reflection monitoring of that interface.</p>
Contextualized Adaptive Research Description INterfaces Applying LinkedData Evaluation Survey Responses
<p>Building adaptive web forms for publishing research datasets based on contextual information and established ontologies allows the acquisition of fine-grained, structured, semantic metadata which facilitation interdisciplinary findability and reuse.</p> <p>The provided dataset contains the responses of 74 participants in a Turtle (ttl) format from an online survey experiment where they had to use a prototypical web application (CARDINAL) as a proof-of-concept in practice based on a fictious scenario about a political election poll. The evaluation was conducted in July 2020.</p>
Coupling Lattice Instabilities Across the Interface in Ultrathin Oxide Heterostructures
<p>Dataset corresponding to the publication 'Coupling Lattice Instabilities Across the Interface in Ultrathin Oxide Heterostructures' (ACS Materials Letters, 2020, 2, 4, 389-394), available open access at <a href="https://doi.org/10.1021/acsmaterialslett.9b00540">https://doi.org/10.1021/acsmaterialslett.9b00540</a></p>
Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy"
<p>Data for the article "Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy" (<a href="https://aip.scitation.org/doi/10.1063/5.0022369">Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy: Applied Physics Reviews: Vol 7, No 4 (scitation.org)</a> and <a href="https://arxiv.org/abs/2012.06900">[2012.06900] Ultrafast spin-currents and charge conversion at 3d-5d interfaces probed by time-domain terahertz spectroscopy (arxiv.org)</a> )</p>
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.