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1,051 results for “ring”
Tree-Ring Measurement File: Lodgepole Pine Samples Collected at Steamboat Geyser, Yellowstone National Park
<p>Decade format (Tucson format) tree-ring measurement file (0.001 mm) for lodgepole pine core samples collected adjacent to Steamboat Geyser in Yellowstone National Park, Wyoming, USA.</p>
Charles Huber, 2008; Die Ringe des Apollo. Entomologischer Verein Bern und Naturhistori- sches Museum der Burgergemeinde Bern. 288 Seiten, ISBN: 978-907088-19-7, Preis: 45.00 CHF. in Entomologischer Verein Bern (Evb)
Charles Huber, 2008; Die Ringe des Apollo. Entomologischer Verein Bern und Naturhistori- sches Museum der Burgergemeinde Bern. 288 Seiten, ISBN: 978-907088-19-7, Preis: 45.00 CHF.
Source data for "Regulation of replication origin licensing by ORC phosphorylation reveals a two-step mechanism for Mcm2-7 ring closing"
<p>Source data for "Regulation of replication origin licensing by ORC phosphorylation reveals a two-step mechanism for Mcm2-7 ring closing" </p> <p>The data is organized by Figure and associated Supp Figure(s). A README file is included in each figure folder to explain the files.</p> <p>(note: Data is included for Figs2-7 and SuppFigs 2-8. Fig.1 and SuppFig.1 did not have any associated data matrices, so there is no upload for them here). </p> <p>Briefly, the single molecule data is included in several different formats, all generated from single-molecule TIRF-microscopy video files using Matlab:</p> <p>Integrated trace files "traces" include integrated fluorescence intensity at individual DNA molecules over a 20 minute reaction.</p> <p>Background-corrected trace files normalize the integrated fluorescence intensity to a local-average background, as described in the Methods section of the paper-- these are used for EFRET calculations.</p> <p>"Intervals" files include the start, end time, and duration of protein-DNA interactions and were generated from the trace files and the raw videos using the Imscroll program (available at: https://github.com/gelles-brandeis/CoSMoS_Analysis).</p> <p>EFRET vectors are concatenated vectors of the EFRET vs time values of all protein-DNA interactions in the experiment-- these are used to generate EFRET heat maps. </p> <p>Matlab analysis scripts used in the paper are uploaded in a separate folder "ALA_scripts_used_final". Several of these scripts reference custom Matlab functions from the Gelles lab which are available here: https://github.com/gelles-brandeis/jganalyze and should be downloaded along with my attached scripts file. </p> <p>note: Raw single-molecule video files have not been uploaded here due to large sizes, but can be provided upon request. </p>
Fig. 4. Body ring 4, sternal projections. A–B. Dibolostethus sicarius Hoffman, 2009 in A review of the previously monotypic tribe Dibolostethini (Chelodesmidae: Chelodesminae) with description of two new species and a summary of the Chelodesmidae of the Tropical Andes Biodiversity Hotspot
Fig. 4. Body ring 4, sternal projections. A–B. Dibolostethus sicarius Hoffman, 2009, holotype, ♂ (VMNH110810). C–D. D. inopinatus Means, Bouzan & Ivanov sp. nov., holotype, ♂ (VMNH110813). A, C. Lateral views. B, D. Posterolateral views. Abbreviation: Cx = coxae.
August–September temperature reconstruction over the period 1792–2020 based on a tree-ring maximum latewood density
<p>We present a late summer (August–September) temperature reconstruction over the period<br> 1792–2020 based on a tree-ring maximum latewood density (MXD) chronology for the southern Tibetan Plateau (TP).<br> The reconstruction explained 66.2% of the variance in the instrumental temperature records during the calibration period<br> 1960–2020.</p>
Data from the parametric analysis of multi-ring masonry arches using a limit analysis approach for the span of 3m
<p>The dataset is produced by running a series of 360 simulations using the in-house code ALMA (<em>Analisi Limite Murature Attritive</em>) that implements the upper bound approach of limit analysis to detect the collapse multiplier and mechanism for masonry structures. This set of data contains the results of 120 simulations achieved for the multi-ring masonry arches for span of 3m with different level of parameters considered, namely size of blocks, span of the arch, ring number, interlocking coefficient and the friction angle. In order to simplify references to figures an acronym system is used and it follows a sequence of "<em>size_span_ring_interlock_friction</em>". Size takes attributes as <strong>S</strong>-small and <strong>B</strong>-big while span takes number attributes based on the span like <strong>S3</strong>, <strong>S5</strong>, <strong>S7</strong> for spans of <strong>3</strong>, <strong>5</strong> and <strong>7</strong> meters, respectively. Ring number similarly is based on the number of rings as <strong>R2</strong>, <strong>R3</strong>, <strong>R4</strong> and <strong>R5</strong> and interlock takes the following attributes, I<strong>00</strong>, <strong>I15</strong>, <strong>I35</strong> and <strong>I50</strong> for the interlocking percentage considered such that <strong>00</strong>-stacked, <strong>15%</strong>, <strong>35%</strong> and <strong>50%</strong>, respectively. Finally friction takes attributes following the angle of friction such as <strong>F25</strong>—low level, <strong>F30</strong>—medium level, and <strong>F35</strong>—high level. The acronym used for the equivalent one-ring arches is used as simply <strong>EQ</strong>. For example, the acronym “<em><strong>S_S7_R4_I35_F30</strong></em>" refers to the arch with small blocks, span of 7 meters, consisting of 4 rings and by blocks interlocked at 35% with a joint friction of 30<sup>o</sup>.</p> <p>This database contains a <strong>*.txt</strong>, a <strong>*.vtk</strong> and a <strong>*.png</strong> file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained. </p>
Data from the parametric analysis of multi-ring masonry arches using a limit analysis approach for the span of 7m
<p>The dataset is produced by running a series of 360 simulations using the in-house code ALMA (<em>Analisi Limite Murature Attritive</em>) that implements the upper bound approach of limit analysis to detect the collapse multiplier and mechanism for masonry structures. This set of data contains the results of 120 simulations achieved for the multi-ring masonry arches for span of 7m with different level of parameters considered, namely size of blocks, span of the arch, ring number, interlocking coefficient and the friction angle. In order to simplify references to figures an acronym system is used and it follows a sequence of "<em>size_span_ring_interlock_friction</em>". Size takes attributes as <strong>S</strong>-small and <strong>B</strong>-big while span takes number attributes based on the span like <strong>S3</strong>, <strong>S5</strong>, <strong>S7</strong> for spans of <strong>3</strong>, <strong>5</strong> and <strong>7</strong> meters, respectively. Ring number similarly is based on the number of rings as <strong>R2</strong>, <strong>R3</strong>, <strong>R4</strong> and <strong>R5</strong> and interlock takes the following attributes, I<strong>00</strong>, <strong>I15</strong>, <strong>I35</strong> and <strong>I50</strong> for the interlocking percentage considered such that <strong>00</strong>-stacked, <strong>15%</strong>, <strong>35%</strong> and <strong>50%</strong>, respectively. Finally friction takes attributes following the angle of friction such as <strong>F25</strong>—low level, <strong>F30</strong>—medium level, and <strong>F35</strong>—high level. The acronym used for the equivalent one-ring arches is used as simply <strong>EQ</strong>. For example, the acronym “<em><strong>S_S7_R4_I35_F30</strong></em>" refers to the arch with small blocks, span of 7 meters, consisting of 4 rings and by blocks interlocked at 35% with a joint friction of 30<sup>o</sup>.</p> <p>This database contains a <strong>*.txt</strong>, a <strong>*.vtk</strong> and a <strong>*.png</strong> file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained. </p>
Data from the parametric analysis of multi-ring masonry arches using a limit analysis approach for the span of 5m
<p>The dataset is produced by running a series of 360 simulations using the in-house code ALMA (<em>Analisi Limite Murature Attritive</em>) that implements the upper bound approach of limit analysis to detect the collapse multiplier and mechanism for masonry structures. This set of data contains the results of 120 simulations achieved for the multi-ring masonry arches for span of 5m with different level of parameters considered, namely size of blocks, span of the arch, ring number, interlocking coefficient and the friction angle. In order to simplify references to figures an acronym system is used and it follows a sequence of "<em>size_span_ring_interlock_friction</em>". Size takes attributes as <strong>S</strong>-small and <strong>B</strong>-big while span takes number attributes based on the span like <strong>S3</strong>, <strong>S5</strong>, <strong>S7</strong> for spans of <strong>3</strong>, <strong>5</strong> and <strong>7</strong> meters, respectively. Ring number similarly is based on the number of rings as <strong>R2</strong>, <strong>R3</strong>, <strong>R4</strong> and <strong>R5</strong> and interlock takes the following attributes, I<strong>00</strong>, <strong>I15</strong>, <strong>I35</strong> and <strong>I50</strong> for the interlocking percentage considered such that <strong>00</strong>-stacked, <strong>15%</strong>, <strong>35%</strong> and <strong>50%</strong>, respectively. Finally friction takes attributes following the angle of friction such as <strong>F25</strong>—low level, <strong>F30</strong>—medium level, and <strong>F35</strong>—high level. The acronym used for the equivalent one-ring arches is used as simply <strong>EQ</strong>. For example, the acronym “<em><strong>S_S7_R4_I35_F30</strong></em>" refers to the arch with small blocks, span of 7 meters, consisting of 4 rings and by blocks interlocked at 35% with a joint friction of 30<sup>o</sup>.</p> <p>This database contains a <strong>*.txt</strong>, a <strong>*.vtk</strong> and a <strong>*.png</strong> file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained. </p>
Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.
<p>Data of findings in the article "Optomechanical ring resonator for efficient microwave-optical frequency conversion" by I.T. Chen et al.</p>
Pantropical tree rings show small effects of drought on stem growth
Open the record for dataset details and reuse information.
Data from: Pheasants 365: A review of seasonal ring-necked pheasant habitat in central North America
Open the record for dataset details and reuse information.
Data and code for: Dihydrothiazolo ring-fused 2-pyridone antimicrobial compounds effectively treat Streptococcus pyogenes skin and soft tissue infection
Open the record for dataset details and reuse information.
Data from: Remote sensing and landcover in ring-necked pheasant research: A review of data sources and scales
Open the record for dataset details and reuse information.
Tree ring widths of trembling aspen and black spruce that regenerated after the 1994 Hajdukovich Creek burn
This dataset contains the average annual ring widths of trembling aspen and black spruce regenerating in low and high fire severity sites within the 1994 Hajdukovich Creek burn. 12 pre-established sites were used, 6 from both low and high fire severity. Sites were sampled in 2014, 20 years after the fire.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: I - Basal area increment and d13C
This dataset contiains basal area increment (BAI) and d13C chronologies of 47 aspen cored in 2016 across four sites where leaf mining has been documented since 2004. Chronologies of BAI extend as far back as 1957 and up to 2015. Tree ring d13C chronologies extend from 2004-2015 and were measured on 23 trees from two fo the four sites.
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: II - Tree DBH and age
This dataset contiains tree level measurements of diameter at breast height (DBH) and age of aspen that were sampled in 2015 for tree ring anlyses. The tree ages provided are the age of the tree in 2015.
Standardized ring-width chronologies for white and black spruce at three sites in the southern Brooks Range, Alaska
Although black spruce is the dominant treeline species in the eastern boreal forest, its distribution stops several kilometers short of treeline in the Brooks Range in Alaska, and white spruce is the dominant treeline species. The explanation for this distribution is not known, but two hypotheses are plausible. First, black spruce may be less tolerant of climatic conditions near treeline than white spruce. Second, black spruce may be unable to regenerate successfully near treeline due to long intervals between fires. We are establishing permanently marked study plots along a transect from the Yukon River basin, where black spruce is the dominant species, to the foothills of the Brooks Range, where it reaches its distributional limit. We are reconstructing recruitment history of both black and white spruce at our study sites, and are reconstructing recent fire history from analysis of fire scars and stand age structures. These data are being used to parameterize matrix population models, with which we are describing patterns of population stability.
Tree Ring Widths for Loblolly Pine in the Eastern Shore of Virginia National Wildlife Refuge
Width of tree rings were measured on 25 Loblolly Pine trees in the Eastern Shore of Virginia National Wildlife refuge (37.125153-deg N, 75.965134-deg W.) to the nearest 0.001 mm.
Conformational maps of human 20S proteasomes reveal PA28- and immuno-dependant inter-ring crosstalks
<p>Data and R scripts associated to the HDX-MS analysis of the 20S core particule and its PA28 regulators:</p> <p>Here, we used for the first time Hydrogen-Deuterium eXchange coupled to Mass Spectrometry (HDX-MS) to investigate conformational differences between the human standard 20S (std20S) and immuno 20S (i20s) proteasomes alone or in complex with PA28αβ or PA28γ activators. Their solvent accessibility (in the form of deuteration kinetics) were analysed through a dedicated bioinformatic pipeline including stringent statistical analysis and 3D visualisation. These data confirmed the existence of allosteric differences between the std20S and i20S at the surface of the α-ring triggered from inside the catalytic β-ring. Additionally, binding of the PA28 regulators to the 20S proteasomes modified solvent accessibility due to conformational changes of the β-rings. This work is not only a proof of concept that HDX-MS can be used to get structural insights on large multi-protein complexes in solution, it also demonstrates that the binding of the std20S or i20S subtype to any of its PA28 activator triggers allosteric changes that are specific to this 20S/PA28 pair, in terms of the regions affected. </p>
Data from: Genome-wide Screens Implicate Loss of Cullin Ring Ligase 3 in Persistent Proliferation and Genome Instability in TP53-Deficient Cells
<p>CSV files of whole-Genome Knockout Screens for Proliferation and Tumorigenic Growth. The data is retrieved from:</p> <p>Title: "Genome-wide Screens Implicate Loss of Cullin Ring Ligase 3 in Persistent Proliferation and Genome Instability in TP53-Deficient Cells"</p> <p>DOI: https://doi.org/10.1016/j.celrep.2020.03.029</p> <p>The excel sheet with data shown in figure 1B is converted to CSV files.</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.