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245 results for “rust”
FIGURE 2 in Contributions to the knowledge and distribution of Pucciniales (rust fungi) in three Brazilian biomes
FIGURE 2. Distribution of Pucciniales species in each genus.
FIG. 3 in Species of Puccinia Pers. nom. sanct. (rust fungi) on Bambusoideae in Belgium and in Europe
FIG. 3. — SEM pictures. Puccinia deutziae (Dietel) Fraiture & Vanderweyen, comb. nov. (AF 3738): A-C, teleutospores; E-F, uredospores; K, teleutosore surrounded by uredospores. – Puccinia longicornis Pat. & Har. (AF 3739): D, ornamentation of an uredospore; G-H, uredospores; J, uredosore with a fragment of epidermis. – Puccinia phyllostachydis Kusano (AF 3743): I, uredospore. Scale bars: A-C, E-I, 10 µm; D, 1 µm; J, K, 100 µm.
Phylogenetic relatedness among Cladosporium leaf endophytes predicts their ability to reduce the severity of a poplar leaf rust disease
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Data from: Kinetics and mechanism of selenate and selenite removal in solution by sulfate-green rust
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Data from: 28 year temporal sequence of epidemic dynamics in a natural rust – host plant metapopulation
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Transcriptome analysis of a stem rust resistance locus on wheat chromosome 7AL
GEO Series GSE83149. Triticum aestivum. 27 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing of stripe rust infected wheat leaves and isolated haustoria
GEO Series GSE42496. Puccinia striiformis f. sp. tritici 08/21. 3 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome‐based analyses of phosphite‐mediated suppression of rust pathogens Puccinia emaculata and Phakopsora pachyrhizi
GEO Series GSE122475. Phakopsora pachyrhizi; Puccinia emaculata. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis using RNA sequencing of three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii) [TRIGL-BDS-EUCGR]
GEO Series GSE106740. Tristaniopsis glauca. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification of rust-induced genes in poplar using Populus 4.6K cDNA macroarray
GEO Series GSE7121. Populus trichocarpa x Populus deltoides. 27 samples. Type: Expression profiling by array.
Transcriptome analysis using RNA sequencing of three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii) [SYZLO-DENOVO]
GEO Series GSE106747. Syzygium longifolium. 7 samples. Type: Expression profiling by high throughput sequencing.
Comparative analysis of transcripts associated with all-stage resistance to stripe rust in wheat
GEO Series GSE13346. Triticum aestivum. 107 samples. Type: Expression profiling by array.
Wheat stem rust interaction
GEO Series GSE207175. Triticum aestivum. 12 samples. Type: Expression profiling by array.
Transcriptome analysis using RNA sequencing of three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii) [TRIGL-FAR-EUCGR]
GEO Series GSE106746. Tristaniopsis glauca. 5 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis using RNA sequencing of three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii) [TRIGL-FAR-DENOVO]
GEO Series GSE106741. Tristaniopsis glauca. 5 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis using RNA sequencing of three endemic Myrtaceae species from New Caledonia displaying contrasting responses to myrtle rust (Austropuccinia psidii) [ARIGU-EUCGR]
GEO Series GSE106736. Arillastrum gummiferum. 6 samples. Type: Expression profiling by high throughput sequencing.
Data from: Molecular characterization of resistance to soybean rust (Phakopsora pachyrhizi Syd. & Syd.) in soybean cultivar DT 2000 (PI 635999)
Resistance to soybean rust (SBR), caused by Phakopsora pachyrhizi Syd. & Syd., has been identified in many soybean germplasm accessions and is conferred by either dominant or recessive genes that have been mapped to six independent loci (Rpp1 –Rpp6), but No U.S. cultivars are resistant to SBR. The cultivar DT 2000 (PI 635999) has resistance to P. pachyrhizi isolates and field populations from the United States as well as Vietnam. A F6:7 recombinant inbred line (RIL) population derived from Williams 82 × DT 2000 was used to identify genomic regions associated with resistance to SBR in the field in Ha Noi, Vietnam, and in Quincy, Florida, in 2008. Bulked segregant analysis (BSA) was conducted using the soybean single nucleotide polymorphism (SNP) USLP 1.0 panel along with simple sequence repeat (SSR) markers to detect regions of the genome associated with resistance. BSA identified four BARC_SNP markers near the Rpp3 locus on chromosome (Chr.) 6. Genetic analysis identified an additional genomic region around the Rpp4 locus on Chr. 18 that was significantly associated with variation in the area under disease progress curve (AUDPC) values and sporulation in Vietnam. Molecular markers tightly linked to the DT 2000 resistance alleles on Chrs. 6 and 18 will be useful for marker-assisted selection and backcrossing in order to pyramid these genes with other available SBR resistance genes to develop new varieties with enhanced and durable resistance to SBR.
A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem
<p><strong><span>A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem</span></strong></p> <p><span>This Repository contains the data and scripts used in A Deep Dive into Deprecation Declarations in the Rust Package Ecosystem.</span></p> <p><span>DataSet:</span></p> <ul> <li> <p><span>crateio_dumps: It contains data related to Rust packages exported from </span><span><a href="https://crates.io/data-access"><span>crate.io</span></a></span><span>.</span></p> </li> <li> <p><span>advisory-db:</span></p> <ul> <li> <p><span>GAD: GitHub Advisory Database, exported from </span><span><a href="https://github.com/github/advisory-database/tree/mai.n/advisories/github-reviewed"><span>reviewed adviosry-database repository</span></a></span></p> </li> <li> <p><span>RAD: RustSec Advisory Databa, exported from </span><span><a href="%5BAbout%20RustSec%20%E2%80%BA%20RustSec%20Advisory%20Database%5D(https://rustsec.org/)"><span>Rustsec advisories</span></a></span><span>.</span></p> </li> </ul> </li> </ul> <ul> <li> <p><span>OSV: Open Source Vulnerabilities, exported from </span><span><a href="https://osv.dev/list?ecosystem=crates.io"><span>osv.dev</span></a></span><span>.</span></p> </li> </ul> <p><span>Scripts:</span></p> <ul> <li> <p><span><code>0_preprocess.ipynb</code></span><span>: This script handles data preprocessing, including the extraction of dependency relationships between packages and the filtering of libraries for further analysis.</span></p> </li> <li> <p><span><code>1_RQ1.ipynb</code></span><span>: This script documents the process of identifying inactive libraries and calculating their direct downstream packages.</span></p> </li> <li> <p><span><code>2_RQ1.ipynb</code></span><span>: This script records the steps for identifying deprecated libraries from the set of inactive libraries, categorized by types of deprecation declarations.</span></p> </li> <li> <p><span><code>3_RQ2.ipynb</code></span><span>: This script analyzes changes in the number of direct downstream packages after a library is marked as deprecated. It evaluates whether deprecation declarations influence downstream clients to drop or adopt dependencies on the deprecated library.</span></p> </li> <li> <p><span><code>4_RQ3.ipynb</code></span><span>: This script contains the code for extracting defect records related to deprecated libraries from the advisory-db.</span></p> </li> </ul> <p><span>Folders:</span></p> <ul> <li> <p><span><code>./crateio_dumps</code></span><span>: Contains the decompressed tables from the crateio_dumps dataset.</span></p> </li> <li> <p><span><code>./images</code></span><span>: Stores all figures generated by the scripts, intended for use in the paper.</span></p> </li> <li> <p><span><code>./inner_result</code></span><span>: Stores intermediate data generated during processing.</span></p> </li> <li> <p><span><code>./log</code></span><span>: Contains temporary log files generated during script execution.</span></p> </li> <li> <p><span><code>./RQ1</code></span><span>: Stores key result data related to RQ1 generated by </span><span><code>1_RQ1.ipynb</code></span><span> and </span><span><code>2_RQ1.ipynb</code></span><span>. The file </span><span><code>keywords.xlsx</code></span><span> lists the keywords used to filter package README files and descriptions.</span></p> </li> <li> <p><span><code>./RQ2</code></span><span>: Contains important result data related to RQ2 generated by </span><span><code>3_RQ2.ipynb</code></span><span>. The </span><span><code>osv</code></span><span> subfolder stores the extracted OSV dataset records for each vulnerability.</span></p> </li> <li> <p><span><code>./RQ3</code></span><span>: The file </span><span><code>Survey Answer.xlsx</code></span><span> contains responses from 53 participants to the survey. The folder </span><span><code>advisory-db-keyword-filter</code></span><span> stores defect records filtered from GAD and RAD.</span></p> </li> <li> <p><span><code>utils</code></span><span>: </span><span><code>parse_version.py</code></span><span> provides functions for parsing semantic version strings, while </span><span><code>vercmp.py</code></span><span> provides functions for comparing the order of semantic version strings.</span></p> </li> </ul>
Figure 5 from: Martone M, Murray-Rust P, Molloy J, Arrow T, MacGillivray M, Kittel C, Kasberger S, Steel G, Oppenheim C, Ranganathan A, Tennant J, Udell J (2016) ContentMine/Hypothes.is Proposal. Research Ideas and Outcomes 2: e8424. https://doi.org/10.3897/rio.2.e8424
Figure 5 - A demo of Hypothes.is marking up a Wolbachia paper.
Figure 4 from: Martone M, Murray-Rust P, Molloy J, Arrow T, MacGillivray M, Kittel C, Kasberger S, Steel G, Oppenheim C, Ranganathan A, Tennant J, Udell J (2016) ContentMine/Hypothes.is Proposal. Research Ideas and Outcomes 2: e8424. https://doi.org/10.3897/rio.2.e8424
Figure 4 - Zika in Scientific Literature
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.