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1,491 results for “Ione”
Fernow Experimental Forest site, station NADP Station WV18, Parsons, WV, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Fraser Experimental Forest site, station NADP Station CO02, Niwot Saddle, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fraser Experimental Forest (FRA) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Georgia Coastal Ecosystems site, station NADP Station GA33, Sapelo Island, GA, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Blacks Mountain Experimental Forest site, station NADP Station CA96, Lassen Volcanic National Park-Manzanita Lake, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Blacks Mountain Experimental Forest (BLA) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Glacier Lakes Ecosystems Experiments Site site, station NADP Station WY00, Snowy Range, WY, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Glacier Lakes Ecosystems Experiments Site (GLA) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Grazinglands Research Laboratory site, station NADP Station OK17, Kessler Farm Field Laboratory, OK, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Grazinglands Research Laboratory (GRL) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Bonanza Creek site, station NADP Station AK01, Poker Creek, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Bonanza Creek (BNZ) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Hubbard Brook site, station NADP Station NH02, Hubbard Brook, NH, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Harvard Forest site, station NADP Station MA08, Quabbin Reservoir, MA, study of hydrogen ions in wet deposition in units of kilogramsPerHectare on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains hydrogen ions in wet deposition measurements in kilogramsPerHectare units and were aggregated to a yearly timescale.
Modeling the Impact of Metallic Ion Layers on Equatorial Spread F with SAMI3/ESF
<p>data for paper submitted to GRL entitled</p> <p>Modeling the Impact of Metallic Ion Layers on Equatorial Spread F with SAMI3/ESF</p>
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
<p>Dataset accompanying the paper: "Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning"</p>
Research on the Relationship of Ions Content with TNF-α and TGF-β Expression in BALF of Silica-induced Rats
<p>All data of this article.</p>
Germanium tin alloy nanowires as anode materials for high performance Li-ion batteries
<p><strong>Abstract</strong><br> The combination of two active Li-ion materials (Ge and Sn) can result in improved conduction paths and higher capacity retention. Here we report for the first time, the implementation of Ge<sub>1–x</sub>Sn<sub>x</sub> alloy nanowires as anode materials for Li-ion batteries. Ge<sub>1−x</sub>Sn<sub>x</sub> alloy nanowires have been successfully grown via vapor–liquid–solid technique directly on stainless steel current collectors. Ge<sub>1−x</sub>Sn<sub>x</sub> (x = 0.048) nanowires were predominantly seeded from the Au<sub>0.80</sub>Ag<sub>0.20</sub> catalysts with negligible amount of growth was also directly catalyzed from stainless steel substrate. The electrochemical performance of the the Ge<sub>1−x</sub>Sn<sub>x</sub> nanowires as an anode material for Li-ion batteries was investigated via galvanostatic cycling and detailed analysis of differential capacity plots (DCPs). The nanowire electrodes demonstrated an exceptional capacity retention of 93.4% from the 2nd to the 100th charge at a C/5 rate, while maintaining a specific capacity value of ∼921 mAh g−1 after 100 cycles. Voltage profiles and DCPs revealed that the Ge<sub>1−x</sub>Sn<sub>x</sub> nanowires behave as an alloying mode anode material, as reduction/oxidation peaks for both Ge and Sn were observed, however it is clear that the reversible lithiation of Ge is responsible for the majority of the charge stored.</p>
Microelectromechanical-System-Based Design of a High-Finesse Fiber Cavity Integrated with an Ion Trap
<p>We present a numerical study of a microelectromechanical-system-based design of a fiber cavity integrated with an ion-trap system. Each fiber mirror is supported by a microactuator that controls the mirror’s position in three dimensions. The mechanical stability is investigated by a feasibility analysis, which shows that the actuator offers stable support of the fiber. The actuators move the fibers’ positions continuously with a stroke of more than 10μm, with mechanical resonance frequencies on the order of kilohertz. A calculation of the trapping potential shows that a separation between the ion and the fiber consistent with strong ion-cavity coupling is feasible. Our miniaturized ion-photon interface constitutes a viable approach to integrated hardware for quantum information.</p>
Supplementary data for publication "Mass-Resolved Electronic Circular Dichroism Ion Spectroscopy"
<p>Research data for the main text and supporting information figures of publication "Mass-Resolved Electronic Circular Dichroism Ion Spectroscopy". Figure numbering according to arXiv preprint 2002.01299.</p> <p>Abstract: DNA and proteins are chiral: their three-dimensional structure cannot be superimposed with its mirror image. Circular dichroism spectroscopy is widely used to characterize chiral compounds, but data interpretation is difficult in the case of mixtures. We recorded the electronic circular dichroism spectra of DNA helices separated in a mass spectrometer. We studied guanine-rich strands having various secondary structures, electrosprayed them as negative ions, irradiated them with a UV-vis nanosecond OPO laser, and measured the difference in electron photodetachment efficiency between left and right circularly polarized light. The reconstructed circular dichroism ion spectra resemble their solution counterparts, thereby allowing us to assign the DNA helical topology. The ability to measure circular dichroism directly on biomolecular ions expands the capabilities of mass spectrometry for structural analysis.</p>
Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions
<p>Data generated and analyzed in "Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions"</p> <p>Boris Sarvin<sup>‡1</sup>, Shoval Lagziel<sup>‡2</sup>, Nikita Sarvin<sup>1</sup>, Dzmitry Mukha<sup>1</sup>, Praveen Kumar<sup>1</sup>, Elina Aizenshtein<sup>3</sup>, Tomer Shlomi *<sup>123</sup></p> <p><sup>1</sup> Faculty of Biology, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>2</sup> Faculty of Computer Science, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>3</sup> Lokey Center for Life Science and Engineering, Technion – Israel Institute of Technology, 32000 Haifa, Israel.</p> <p><sup>‡</sup> BS and SL contributed equally to this work.</p>
Simulations of the air-water interface at the presence of salt, Dang ions + SPCE water model
<p>Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions by Dang et al. are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy.</p> <p>These values are reported in DOI: [ADD].</p> <p>Data for scaled ions based on the electronic continuum correction (ECC) with two different water models are provided in DOI: 10.5281/zenodo.3888383 (SPCE) and DOI: 10.5281/zenodo.3888369 (OPC).</p> <p> </p>
Simulations of the air-water interface at the presence of salt, ECC ions + SPCE water model
<p>Simulations of a water–air interface. There are ~20000 water molecules with various concentrations of NaCl or CaCl_2 in a simulation box of 12*12*22 nm^3. The SPCE water and the ions with scaled charges based on the electronic continuum correction (ECC) are used. The numbering in file names corresponds to the different concentrations, and data for a pure water–air interface "NOION" is also provided. GROMACS-compatible inputs are provided: simulation parameters (md.mdp), topologies (top), and index (ndx) files. Initial structure can be extracted from the tpr file using gmx editconf. The run input (tpr) is provided, as are the outputs: energy file (edr), trajectory (xtc), and final structure (gro). Surface tensions can be extracted by gmx energy.</p> <p>These values are reported in DOI: [ADD].</p> <p>Data for these ECC ions with OPC water is provided at DOI: 10.5281/zenodo.3888369 and for the full charge ions by Dang et al. in SPCE water at DOI: 10.5281/zenodo.3888436.</p>
Data from: A functionally conserved mechanism of modulation via a vestibule site in pentameric ligand-gated ion channels
<p>Pentameric ligand-gated ion channels (pLGICs) belong to a class of ion channels involved in fast synaptic signaling in the central and peripheral nervous systems. Molecules acting as allosteric modulators target binding sites that are remote from the neurotransmitter binding site, but functionally affect coupling of ligand binding to channel opening. Here, we investigated an allosteric binding site in the ion channel vestibule, which has converged from a series of studies on prokaryote and eukaryote channel homologs. We discovered single domain antibodies, called nanobodies, which are functionally active as allosteric modulators, and solved co-crystal structures of the prokaryote channel ELIC bound either to a positive (PAM) or a negative (NAM) allosteric modulator. We extrapolate the functional importance of the vestibule binding site to eukaryote ion channels, suggesting a conserved mechanism of allosteric modulation. This work identifies key elements of allosteric binding sites and extends drug design possibilities in pLGICs using nanobodies.</p>
Preparation of Polyacrylonitrile-based fibres with chelated Ag ions for antibacterial applications
<p>The need for an excellent antibacterial material that is sufficiently powerful to never develop bacterial resistance is urgent. In this study, a series of novel polyacrylonitrile-based fibres with chelated Ag ions (referred to as Ag-SH-PANF) were prepared by a two-step chemical modification process: grafting and chelating. The properties of the as-prepared Ag-SH-PANF were characterised by Fourier-transform infrared (FT-IR) spectroscopy, thermogravimetric analysis (TGA), X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy (XPS). The antibacterial activities of Ag-SH-PANF were examined against pathogenic bacteria, and an antibacterial mechanism was explicated based on the release of Ag ions from the fibres' surfaces. The results showed that, although chelation occurred between the Ag ions and the grafted amino and sulfhydryl groups, Ag-SH-PANF retained its fine microstructure and thermal stability. Moreover, Ag-SH-PANF displayed excellent antibacterial ability against pathogenic bacteria as well as good washing durability. In terms of the antibacterial mechanism, Ag ions are the main bactericidal agents in the role of catalysts, and are not consumed in the antibacterial process. Nonetheless, a relatively higher concentration of Ag ions can accelerate the bactericidal process.</p>
ScienceDex guides
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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.