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4,107 results for “pointing”
Data and scripts from: Phylogenomic analysis points to a South American origin of Manihot and illuminates the primary gene pool of cassava
<ul> <li>The genus <i>Manihot, </i>with around 120 known species,<i> </i>is native to a wide range of habitats and regions in the tropical and subtropical Americas. Its high species richness and recent diversification only ~6Mya have significantly complicated previous phylogenetic analyses. Several basic elements of <i>Manihot</i> evolutionary history therefore remain unresolved.</li> <li>Here, we conduct a comprehensive phylogenomic analysis of <i>Manihot</i>, focusing on exhaustive sampling of South American taxa. </li> <li>We find that two recently described species from northeast Brazil's Atlantic forest were the earliest to diverge, strongly suggesting a South American common ancestor of <i>Manihot</i>. Ancestral state reconstruction indicates early <i>Manihot </i>diversification in dry forests, with numerous independent episodes of new habitat colonization including into savannas and rainforests within South America. We identify the closest wild relatives to <i>M. esculenta</i> including the crop cassava, and we quantify extensive wild introgression into the cassava gene pool from at least five wild species including <i>M. glaziovii, </i>a species used widely in breeding programs. Finally, we show that this wild-to-crop introgression substantially shapes the mutation load in cassava.</li> <li>Our findings provide a detailed case study for neotropical evolutionary history in a diverse and widespread group, and a robust phylogenomic framework for future <i>Manihot </i>and cassava research.</li> </ul>
Deep learning for early warning signals of tipping points : supplementary data
<p>This data accompanies the publication by Bury et al. “Deep learning for early warning signals of tipping points” published in PNAS and the Github repository <a href="https://github.com/ThomasMBury/deep-early-warnings-pnas">https://github.com/ThomasMBury/deep-early-warnings-pnas</a>. It contains the model time series data that are used to train the deep learning algorithm. The directory ts_500 contains 500k time series used to train the 500-classifier. The directory ts_1500 contains 200k time series used to train the 1500-classifier. Both directories contain files <em>labels.csv </em>and <em>groups.csv </em>which provide numbers corresponding to the labels (Fold, Hopf, Branch, Null) and groups (Training, Validation, Test) for each time series respectively.</p>
Data for "Clean ballistic quantum point contact in SrTiO3"
<p>Spreadsheets containing raw data, axis and trace labels from submitted manuscript "Clean ballistic quantum point contact in SrTiO<sub>3</sub>".</p>
Millimeter Wave Point to Multipoint for Affordable High Capacity Backhaul of Dense Cell Networks
<p>This dataset contains the data to reproduce the graphs in the article: Millimeter Wave Point to Multipoint for Affordable High Capacity Backhaul of Dense Cell Networks", 2018 IEEE Wireless Communications and Networking Conference (IEEE WCNC 2018).</p>
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B).
FIGURE 1 in Typification and threat assessment of Jasminum parkeri (Oleaceae), a point endemic and critically endangered species of Indian Western Himalaya
FIGURE 1. Lectotype (K000901337) http://specimens.kew.org/herbarium/K000901337 and Epitype (K000901336) http://specimens. kew.org/herbarium/K000901336 of Jasminum parkeri Dunn © copyright of the Board of Trustees of the Royal Botanic Gardens, Kew.
Supporting data for "The ionospheric effects of the 2022 Hunga Tonga Volcano eruption and the associated impacts on GPS Precise Point Positioning across the Australian region"
<p>This dataset contains the GPS Vertical Total Electron Content (TEC) data, the Rate of TEC, and the GPS Precise Point Positioning convergence time results as presented in Carter et al. (2023). For access to the raw datasets used in the analysis, the reader is referred to details in Carter et al. (2023).</p> <p>Carter, B. A., R. Pradipta, T. Dao, J. L. Currie, S. Choy, P. Wilkinson, P. Maher, R. Marshall, K. Harima, M. LeHuy, T. Nguyen Chien, T. Nguyen Ha, T. J. Harris (2023) The ionospheric effects of the 2022 Hunga Tonga Volcano eruption and the associated impacts on GPS Precise Point Positioning across the Australian region, Submitted to Space Weather, March, 2023.</p>
Dataset of the paper: "Creating Common Ground: Formalizing and Designing an Employee-driven Innovation Process with Decision Points"
<p>All practical artifacts of the submitted PACIS2023 paper with the title "Creating Common Ground: Formalizing and Designing an Employee-driven Innovation Process with Decision Points"</p>
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Student point gain dataset
<p>This dataset contains anonymized study results of students studying Operating Systems class at the Technical University of Košice in the span of school years 2015/2016 to 2020/2021.</p>
Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control
<p>If you use any of this data, please cite the following publication:</p> <p><span>@inproceedings{monforte2023fast,</span><br><span> title={Fast Trajectory End-Point Prediction with Event Cameras for Reactive Robot Control},</span><br><span> author={Monforte, Marco and Gava, Luna and Iacono, Massimiliano and Glover, Arren and Bartolozzi, Chiara},</span><br><span> booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},</span><br><span> pages={4035--4043},</span><br><span> year={2023}</span><br><span>}</span></p> <p>Event-based datasets of synthetic and real trajectories of a bouncing ball.</p> <p>The synthetic trajectories were obtained converting frames taken using Unreal Engine to events. The ground truth is provided along with objects and camera settings.</p> <p>The real trajectories wer dumped from a real event camera located in front of the robot workspace.</p> <p>To import .log files containing events, we suggest <a href="https://github.com/event-driven-robotics/bimvee">bimvee</a> Python library.</p> <p>Specifically use the functions to import .log files:</p> <p>data = importIitYarpBinaryDataLog(filePathOrName=input_path)<br> </p> <p> </p> <p> </p>
PointFaces: Point Cloud Dataset of Facial Landmarks and Blendshapes
<p>The dataset is based on 1000 facial landmark captures performed on the FFHQ facial image dataset.<br> The 3D blendshape models are sculpted based on the MediaPipe canonical model.</p>
Data for Real-K 18SIB02 Task 1.2 Report "CHARACTERISATION OF FURNACE THERMAL EFFECTS ON THE REPRODUCIBILITY OF HIGH-TEMPERATURE FIXED-POINT CELLS"
<p>Report "CHARACTERISATION OF FURNACE THERMAL EFFECTS ON THE REPRODUCIBILITY OF HIGH-TEMPERATURE FIXED-POINT CELLS" was written as part of WP1 of Real-K 18SIB02 and can be found at 10.5281/zenodo.7896128</p> <p>A summary was presented at the 10th International Temperature Symposium DOI10.6028/NIST.SP.2100-05 and a paper to be submitted to the proceedings </p> <p>Data files contain individual melt curves provided by participants, together with the results from fitting 3-rd order polynomial curves as described in the report. The output from each melting curve has:</p> <p>The point-of-inflection, with type-1 uncertainty<br> An extrapolated upper limit to the liquidus, with type-1 uncertainty<br> The melting range<br> <br> The liquidus and its uncertainty are derived from the above</p>
Data for: UK redwoods terrestrial laser scanner point clouds
<p class="MsoNormal">Giant redwoods (<em>Sequoiadendron giganteum) </em>are some of the UK's largest trees, despite only being introduced in the mid-19th century. Given recent interest in planting redwoods in the UK, partly due to their carbon sequestration potential and also their undoubted public appeal, an understanding of their viability is important. However, little or no research has been conducted to quantitatively estimate their carbon uptake in UK conditions. We used 3D terrestrial laser scanning (TLS) to make detailed structure measurements of individual <em>S. giganteum</em> trees at three sites, to estimate aboveground biomass (AGB) and annual biomass accumulation rates. We show that UK-grown <em>S. giganteum</em> can sequester carbon at a rate of 80 - 100 kg C year<sup>-1</sup>, varying with climate, management and age. This accumulation rate is 2.5 and 20 times faster than commonly-grown UK plantation tree species. We develop new UK-specific allometric models for <em>S. giganteum</em>which fit observed AGB with r<sup>2</sup> > 0.93 and bias < 2% and can be used to estimate <em>S. giganteum</em> AGB more generally. <em>S. giganteum</em> appears to represent a small but potentially important addition to the UK's carbon sequestration efforts and this work provides a baseline for estimating their longer term AGB and carbon sequestration capacity.</p>
Data for paper "Low Uncertainty Thermodynamic Temperature Above the Silver Point Using Relative Primary Radiometry" submitted to ITS10: International Temperature Symposium, Anaheim 2023
<p>Data and evaluation used to set up a thermodynamic temperature scale in line with the mise-en-pratique for the definition of the kelvin and associated uncertainty budget.</p> <p>Used to assign temperatures to fixed points as part of 18SIB02 “Realising the redefined kelvin” </p> <p>Presented at, and an open access paper submitted to proceedings of, ITS10: International Temperature Symposium Anaheim USA 2023</p>
Supplementary material 3 from: Mas H, Santoiemma G, Lencina JL, Gallego D, Pérez-Laorga E, Ruzzier E, Rassati D (2023) Investigating beetle communities in and around entry points can improve surveillance at national and international scale. NeoBiota 85: 145-165. https://doi.org/10.3897/neobiota.85.103904
Area of Spain and position where baited cross-traps were set up both inside and outside the selected ports of entry
Supplementary material 1 from: Mas H, Santoiemma G, Lencina JL, Gallego D, Pérez-Laorga E, Ruzzier E, Rassati D (2023) Investigating beetle communities in and around entry points can improve surveillance at national and international scale. NeoBiota 85: 145-165. https://doi.org/10.3897/neobiota.85.103904
Number, position (port area vs. surrounding area), city, and geographic coordinates for each of the 14 traps used during this study
Point intercept and biomass data for vascular plants in a manipulative experiment of rear-round, winter-only, summer-only grazing, mowing and full exclosure at Molslab, Denmark
<p>Data from two sets of sample quadrats included, both from nine experimental blocks, each replicating the treatments: rear-round grazing, winter-only grazing (summer exclosure), summer-only grazing (winter exclosure), mowing (one annual event in autumn) and full exclosure (no cattle or horse grazing, no mowing, but grazing by wild roe deer and hare).</p> <p>1) Each of the 24 sample plots (six blocks times four treatments, mowing excluded) was first sampled non-destructively with the point intercept method, then above-ground biomass was cut at the soil surface, sorted into species fractions, dried and weighed. Data recording <span>September 1–16, 2020</span>.</p> <p>2) Each of the 45 sample plots (nine blocks times five treatments) was sampled non-destructively with the point intercept method. Data recording <span>August 2–20, 2021</span>.</p>
Fig. 7. The V19H four-point mutant coupled with T3R in Site directed mutagenesis of Catharanthus roseus (+)-vincadifformine 19-hydroxylase (CYP71BY3) results in two distinct enzymatic functions
Fig. 7. The V19H four-point mutant coupled with T3R converts (¡)-tabersonine to 2,3-dihydro-3-hydroxytabersonine. Traces from in vitro experiments with ()-tabersonine (1) and V19H four-point mutant microsomes or T3O microsomes in the absence or presence of purified recombinant T3R are shown. Yeast microsomes containing the V19H 4-point mutant (red) (V19HL106R–S312T-A376P–F377L) convert ()-tabersonine to tabersonine 2,3-epoxides (5) in the absence of T3R, and to 2,3-dihydro-3-hydroxytabersonine in the presence of T3R. Yeast microsomes containing wild-type T3O (blue) were used as positive controls for tabersonine-2,3-epoxide (5) and 2,3-dihydro-3-hydroxytabersonine biosynthesis in the absence and presence of T3R, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Supplementary Material: A novel coupled-cluster singles and doubles implementation that combines the exploitation of point-group symmetry and Cholesky decomposition of the two-electron integrals
<p>This dataset contains all molecular geometries (in Angstrom) used to test the CD-CCSD implementation.</p>
Blast Furnace Raw Material Granularity Recognition Model Based on Deep Learning and Multimodal Fusion of 3D Point Cloud
<p>Provide data code</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.