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11,177
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Dataset results
11,177 results for “identify”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Jack Rodney Laundon, <a href="http://www.wikidata.org/entity/Q13426189">http://www.wikidata.org/entity/Q13426189</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head and neck squamous cell carcinoma – knowledge obtained from the CheckRad-CD8 trial
<p>Raw cell counts from peripheral blood immune phenotyping across individual patients.</p>
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism
Open the record for dataset details and reuse information.
Fits and plot data for the paper: "Combined analyses of within-host SARS-CoV-2 viral kinetics and information on past exposures to the virus in a human cohort identifies intrinsic differences of Omicron and Delta variants"
Open the record for dataset details and reuse information.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by George Brebner, <a href="http://www.wikidata.org/entity/Q123681746">http://www.wikidata.org/entity/Q123681746</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Improving predictions of critical shear stress in gravel bed rivers: identifying the onset of sediment transport and quantifying sediment structure: Dataset
<p>This dataset accompanies the paper: Hodge RA, Voepel HE, Yager EM, Leyland J, Johnson JPL, Sear DA, Ahmed S. Improving predictions of critical shear stress in gravel bed rivers: identifying the onset of sediment transport and quantifying sediment structure. In review for Earth Surface Processes and Landforms. </p> <p>These data are from Figure 3 to 6. The aim of this part of the paper was to assess different methods for measuring the grain-scale sediment structure of a gravel-bed river. The approaches used are direct measurements, terrestrial laser scanning, and CT scanning. </p> <p> </p>
Immuno-transcriptomic profiling of blood and tumor tissue identifies gene signatures associated with immunotherapy response in metastatic bladder cancer
<p>The dataset contains RNA-sequencing data (raw fastq files, not trimmed) of whole blood and whole bladder tissue samples and metadata file with sample annotation. The samples have been collected in the context of the study "Immuno-transcriptomic profiling of blood and tumor tissue identifies gene signatures associated with immunotherapy response in metastatic bladder cancer". In this study, we investigated which are the local and systemic immune changes in an experimental model of muscle-invasive bladder cancer upon immunotherapy. The RNA-sequencing data have been used to produce the results presented in the study. Please refer to the study publication material and methods and the metadata file for details.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Ethel Doidge, <a href="http://www.wikidata.org/entity/Q18640601">http://www.wikidata.org/entity/Q18640601</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Figure 2 from: Lu Y-F, Chai C-Y, Hui F-L (2024) Two new phyllospheric species of Colacogloea (Colacogloeaceae, Pucciniomycotina) identified in China. MycoKeys 101: 81-94. https://doi.org/10.3897/mycokeys.101.114872
Figure 2 Vegetative cells of Colacogloea celtidis sp. nov. NYUN 2210184T (A) and Colacogloea pararetinophila sp. nov. NYNU 2110393T (B) following growth in YM broth for 7 days at 20 °C. Scale bars: 10 μm.
Figure 1 from: Lu Y-F, Chai C-Y, Hui F-L (2024) Two new phyllospheric species of Colacogloea (Colacogloeaceae, Pucciniomycotina) identified in China. MycoKeys 101: 81-94. https://doi.org/10.3897/mycokeys.101.114872
Figure 1 Maximum likelihood (ML) phylogram of Colacogloea species based on combined ITS and LSU sequence data. Udeniozyma ferulicaCBS 7416T was used as the outgroup. Branches are labeled with MLBS ≥ 50% and BPP ≥ 0.95. New strains described in this study are shown in bold.
Supplementary material 1 from: Lu Y-F, Chai C-Y, Hui F-L (2024) Two new phyllospheric species of Colacogloea (Colacogloeaceae, Pucciniomycotina) identified in China. MycoKeys 101: 81-94. https://doi.org/10.3897/mycokeys.101.114872
Molecular data
Figure 2 from: Walter HE, Cádiz-Véliz A, Meriño BM, Villalobos-Barrantes HM, Guerrero PC (2024) Taxonomic dissection based on molecular evidence of the Eriosyce curvispina complex (Cactaceae): identifying nine endemic species from Central Chile. PhytoKeys 237: 117-139. https://doi.org/10.3897/phytokeys.237.107403
Figure 2 Phylogenetic position of putative members of the Eriosyce curvispina species complex. All sections of Eriosyce are collapsed, except for the Eriosyce section Horridocactus.
Figure 1 from: Walter HE, Cádiz-Véliz A, Meriño BM, Villalobos-Barrantes HM, Guerrero PC (2024) Taxonomic dissection based on molecular evidence of the Eriosyce curvispina complex (Cactaceae): identifying nine endemic species from Central Chile. PhytoKeys 237: 117-139. https://doi.org/10.3897/phytokeys.237.107403
Figure 1 Locations of samples used in the study ascribed to the Eriosyce curvispina complex included in phylogenetic inferences.
Figure 3 from: Walter HE, Cádiz-Véliz A, Meriño BM, Villalobos-Barrantes HM, Guerrero PC (2024) Taxonomic dissection based on molecular evidence of the Eriosyce curvispina complex (Cactaceae): identifying nine endemic species from Central Chile. PhytoKeys 237: 117-139. https://doi.org/10.3897/phytokeys.237.107403
Figure 3 Species of Eriosyce curvispina complex AE. aconcaguensisBE. andicolaCE. choapensisDE. curvispinaEE. grandifloraFE. horridaGE. mutabilisHE. orientalisIE. robusta. Photographs: Arón Cádiz-Véliz (A, B, F), Pablo Guerrero (C, D, G), Joaquín Keymer (E), Heidy Villalobos-Barrantes (H), Griselle Guerrero (I).
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Felix Joseph Widder, <a href="http://www.wikidata.org/entity/Q5858559">http://www.wikidata.org/entity/Q5858559</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Philippe Dautzenberg, <a href="http://www.wikidata.org/entity/Q1215930">http://www.wikidata.org/entity/Q1215930</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Hermann Merxmüller, <a href="http://www.wikidata.org/entity/Q4290979">http://www.wikidata.org/entity/Q4290979</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Johann Baptist von Spix, <a href="http://www.wikidata.org/entity/Q15572">http://www.wikidata.org/entity/Q15572</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Supplementary material 1 from: Jones TS, Culham A, Pickles BJ, David J (2024) Can gardeners identify 'future invaders'? NeoBiota 91: 125-144. https://doi.org/10.3897/neobiota.91.110560
Scoping survey
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Rupert Charles Barneby, <a href="http://www.wikidata.org/entity/Q929691">http://www.wikidata.org/entity/Q929691</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
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.