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468 results for “Spikes”
Santa Rita Experimental Range site, station Pasture 6A at Santa Rita Experimental Range, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 6B at Santa Rita Experimental Range, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 8 at Santa Rita Experimental Range, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range burned treatment: pasture 21, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range control treatment: pastures 8 and 22, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range pastures that were grazed and burned: pastures 2N and 6A, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range pastures where the mesquite were killed and the pastures were burned: pasture 2S, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range pastures where the existing mesquite were killed and the pastures were grazed: pastures 3, 5N, 5S, 6B and 12B, study of plant cover of Setaria macrostachya (large-spike bristlegrass) in units of percent 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 Santa Rita Experimental Range (SRE) contains plant cover of Setaria macrostachya (large-spike bristlegrass) measurements in percent units and were aggregated to a yearly timescale.
F I G U R E 1 in Composition and divergence of coronavirus spike proteins and host ACE2 receptors predict potential intermediate hosts of SARS- CoV-2
F I G U R E 1 Structural diagrams of spike glycoproteins of SARS‐CoV, MERS‐CoV, and SARS‐CoV‐2. All spike proteins of coronaviruses contain S1 subunit and S2 subunit, which were divided by the S cleavage sites. FP, fusion peptide; HR, heptad repeat 1 and heptad repeat 2; RBD, receptor‐binding domain, contains core binding motif in the external subdomain; SP, signal peptide
F I G U R E 2 in Composition and divergence of coronavirus spike proteins and host ACE2 receptors predict potential intermediate hosts of SARS- CoV-2
F I G U R E 2 Phylogenetic analysis of sequences of coronavirus spike glycoproteins. The sequences of spike glycoproteins of SARS‐CoV‐2, bat SARS‐like CoV, pangolin SARS‐like CoV, and SARS‐CoV were analyzed. The red stars indicate pangolin SARS‐like CoV and bat SARS‐like CoV. Host flags are marked after the clusters. SARS‐CoV‐2, severe respiratory syndrome coronavirus‐2
Source data for: Presynaptic NMDARs cooperate with local spikes toward GABA release from the reciprocal olfactory bulb granule cell spine
<p><span>In the rodent olfactory bulb the smooth dendrites of the principal glutamatergic mitral cells (MCs) form reciprocal dendrodendritic synapses with large spines on GABAergic granule cells (GC), where unitary release of glutamate can trigger postsynaptic local activation of voltage-gated Na<sup>+</sup>-channels (Na<sub>v</sub>s), i.e. a spine spike. Can such single MC input evoke reciprocal release? We find that unitary-like activation via two-photon uncaging of glutamate causes GC spines to release GABA both synchronously and asynchronously onto MC dendrites. This release indeed requires activation of Na<sub>v</sub>s and high-voltage-activated Ca<sup>2+</sup>-channels (HVACCs), but also of NMDA receptors (NMDAR). Simulations show temporally overlapping HVACC- and NMDAR-mediated Ca<sup>2+</sup>-currents during the spine spike, and ultrastructural data prove NMDAR presence within the GABAergic presynapse. The cooperative action of presynaptic NMDARs allows to implement synapse-specific, activity-dependent lateral inhibition and thus could provide an efficient solution to combinatorial percept synthesis in a sensory system with many receptor channels. </span></p>
Computational epitope map of SARS-CoV-2 spike protein
<p>Dataset accompanying the publication "Map of SARS-CoV-2 spike epitopes not shielded byglycans" published in XYZ.</p> <p> </p> <p>The dataset contains:</p> <p>1. raw epitope screening scores (README file attached in the archive)</p> <p>2. structure and GROMACS topology and input files for two systems:</p> <p> - 4x SARS-CoV-2 spike protein, glycosylated<br> - 4x SARS-CoV-2 spike protein, non-glycosylated</p> <p> </p>
FIGURE 3 in A new species of ' spike-nosed' frog from northern New Guinea (Anura: Hylidae: Litoria)
FIGURE 3. Dermal fringes on tarsus of A. Litoria chrisdahli sp. nov. holotype (SAMA R62510) and B. Litoria prora (SAMA R62520) showing difference in extent of dermal crenulation. Scale bar = 5 mm.
FIGURE 1 in A new species of ' spike-nosed' frog from northern New Guinea (Anura: Hylidae: Litoria)
FIGURE 1. Head of Litoria chrisdahli sp. nov. holotype (SAMA R62510) in A. Dorsal, B. ventral and C. lateral aspects. Scale bar = 5 mm.
FIGURE 2 in A new species of ' spike-nosed' frog from northern New Guinea (Anura: Hylidae: Litoria)
FIGURE 2. Palmar (A) and plantar (B) views of Litoria chrisdahli sp. nov. holotype (SAMA R62510). Scale bar = 5 mm.
Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings
<p>Supplementary Data for<strong> "Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings", Hong et al.</strong></p>
Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus
<p>Dataset accompanying the manuscript "Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area CA3 in the Mouse Hippocampus". This dataset is used to re-create all figure panels with underlying data in the manuscript.</p>
Trajectories of all MD simulations performed of Spike RBD/hACE2 complexes (WT, Delta, BA.1 to BA.4)
<p>Trajectories (.dcd) of the molecular dynamics simulations performed on Spike RBD / hACE2 complexes</p> <p>Protein structure files (.psf) prepared with Charmm36m topology / parameters</p> <p>For the WT (SARS-CoV-2 original strain), 6 additional replicas were uploaded, 3 including all glycans present on both spike and hACE2 et 3 replicas without glycan as control simulations.</p> <p> </p>
A set of aa changes located in spike
<p>This file contains an acknowledgement to the contributors of the SARS-CoV-2 sequences used in this study, in addition to a table documenting a set of aa changes located in Spike protein of SARS-COV-2</p>
Multivesicular Release LIF Spike Data
<p>The statistics of vesicle release determine how information is transferred in neural 12 circuits. The classical model is of Poisson synapses releasing vesicles 13 independently but ribbon synapses transmit early sensory signals by 14 multivesicular release (MVR) when two or more vesicles are coordinated as a single 15 synaptic event. To investigate the impact of MVR on the spike code we used leaky 16 integrate-and-fire models with inputs simulating the statistics of vesicle release 17 measured experimentally from retinal bipolar cells. Comparing these with models 18 of independent release we find that MVR increases spike generation and the 19 efficiency of information transfer (bits per spike) over a range of conditions that 20 mimic retinal ganglion cells of different time-constant receiving different number of 21 synaptic inputs of different strengths. When a single input drives a neuron with 22 short time-constant, as occurs when hair cells transmit auditory signals, MVR 23 increases information transfer whenever spike generation requires depolarization 24 greater than that caused by a single vesicle. This study demonstrates how 25 presynaptic integration of vesicles by MVR can compensate for less effective 26 summation post-synaptically to increase the efficiency with which sensory 27 information is transmitted at the synapse.</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.