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4,612 results for “Labels”
A validation sample (input, label, and prediction) for the network: "SeisLoca_Unet"
<p>This file is a validation sample including the input, label, and prediction. The data of variable "pred" can be obtained by running the prediction file: "prediction.py". Please remember to modified the data directory.</p>
FIGURE 6. The label for Lithobius potanini Sseliwanoff, 1881 in An annotated checklist of centipedes (Chilopoda) of Middle Asian countries, part 1. Lithobiomorpha
FIGURE 6. The label for Lithobius potanini Sseliwanoff, 1881 from the Zoological Institute of the Russian Academy of Sciences, Saint Petersburg.
Dataset for human PDI wild-type and variants labeled at positions 57/401, 88/401, 57/467, and 88/467 with Atto 550/647N
<p>PTU files (time-correlated single-photon counting data) of freely diffusing human oxidized and reduced PDI wild-type and variants labeled at positions 57/401, 88/401, 57/467, and 88/467 with Atto 550/647N. </p> <p> </p> <p> </p>
FIGURES 1–6. Holotypes and their labels. Figs. 1–4, M in Notes on Megalotomus Fieber, 1860 in the Palaearctic Region (Hemiptera, Heteroptera, Alydidae)
FIGURES 1–6. Holotypes and their labels. Figs. 1–4, M. angulus (Hsiao, 1965) comb. nov.; Figs. 5–6, M. obtusus Ghauri, 1972 syn. nov.; Figs. 1 and 5, dorsal view; Fig. 2, lateral view; Fig. 3, ventral view; Figs. 4 and 6, labels. Scales in mm.
Pacific black ducks tri-axial accelerometer data with behaviour labels
<p>The tri-axial accelerometer datasets from Pacific black ducks (<em>Anas superciliosa</em>) was measured at 25 Hz. Fifty tri-axial measurements, totalling 2 seconds, were used to form a behaviour segment. Each dataset includes 9343 segments each forming a row in the dataset. Each row contains 151 columns. The first 150 columns are ACC measurements from three orthogonal axes, arranged as x, y, z, x, y, z, ...,x, y, z. The final column is of type character containing the corresponding behaviour. The two datasets contains 16 and 8 behaviour type labels, respectively. </p>
FIGURE 8. Type specimens and label data. A in Korean species of the Atheta Thomson subgenus Dimetrota Mulsant & Rey (Coleoptera: Staphylinidae: Aleocharinae) with a description of new species
FIGURE 8. Type specimens and label data. A: lectotype of Atheta (Dimetrota) altaica; B: syntype of A. (D.) sublaevana [= A. (D.) atramentaria]; C: holotype of A. (D.) sulputrida [= A. (D.) atramentaria]; D: lectotype of A. (D.) furtiva; E: holotype of A. (D.) machonryongica; F: holotype of A. (D.) photaechonica; G: lectotype of A. (D.) subsericans; H: syntype of A. (Dimetrota) weisei; I: holotype of A. (D.) chagangensis = A. (Badura) tokiokai.
Impact of training set size on the ability of deep neural networks to deal with label noise
<p>This is the data set accompanying the publication 'Impact of training set size on the ability of deep neural networks to deal with label noise'</p> <p> </p> <p><strong>License</strong></p> <p>This work is shared under the <em><code>Creative Commons Attribution ShareAlike 4.0 International License</code></em><code><em> </em>(CC BY-SA 4.0)</code><em>: </em>https://creativecommons.org/licenses/by-sa/4.0/</p> <p>The dataset is taken from the 6th SpaceNet challenge (https://spacenet.ai/sn6-challenge/) which also falls under the <code>CC BY-SA 4.0 license</code>. The original dataset was modified by removing objects from the buildings json files and converting the json files to png images.</p> <p>Creators of the SpaceNet dataset:</p> <p>Shermeyer, J., Hogan, D., Brown, J., Etten, A.V., Weir, N., Pacifici, F., Hänsch, R., Bastidas, A., Soenen, S., Bacastow, T.M., & Lewis, R.</p> <p>SpaceNet partners: https://spacenet.ai/about-us/</p> <p> </p>
Kashtanka.pet labeled data
<p>Data partition from kashtanka.pet</p>
Label-free three-photon imaging of intact human cerebral organoids: Tracking early events in brain development and deficits in Rett Syndrome
<p>Human cerebral organoids are unique in their development of progenitor-rich zones akin to ventricular zones from which neuronal progenitors differentiate and migrate radially. Analyses of cerebral organoids thus far have been performed in sectioned tissue or in superficial layers due to their high scattering properties. Here, we demonstrate label-free three-photon imaging of whole, uncleared intact organoids (~2 mm depth) to assess early events of early human brain development. Optimizing a custom-made three-photon microscope to image intact cerebral organoids generated from Rett Syndrome patients, we show defects in the ventricular zone volumetric structure of mutant organoids compared to isogenic control organoids. Long-term imaging of live organoids reveals that shorter migration distances and slower migration speeds of mutant radially migrating neurons are associated with more tortuous trajectories. Our label-free imaging system constitutes a particularly useful platform for tracking normal and abnormal development in individual organoids, as well as for screening therapeutic molecules via intact organoid imaging.</p>
Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds: Labeled validation data
<p>Set of 10 manually labeled point clouds used in the performance assessment of "Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds". This dataset is a collection of single trees scanned from different regions covering tropical, temperate, and boreal species—with heights ranging from 5.4 to 43.7 m, using the Riegl VZ-400 and Leica ScanStation C10 terrestrial laser scanner. These data have been preprocessed. For the original data, see https://doi.org/10.5061/dryad.10hq7;<br> https://doi.org/10.5061/dryad.np5hqbzp6;<br> https://doi.org/10.1594/PANGAEA.942856.</p>
Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (400 Hand-labelled Images - Cats & Dogs, Single Folder)
<p>400 images (200 cats, 200 dogs) hand-labelled by Maria E. with head and body bounding box labels in YOLOv5 format. Images are in a single folder, no separate folders for cats and dogs.</p>
Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (200 Hand-labelled Images, Cats and Dogs, Separate Folders)
<p>400 images (200 cats, 200 dogs) hand-labelled by Maria E. with head and body bounding box labels in YOLOv5 format. Images for cats, for dogs are in a separate folders.</p>
Distribution. Mediterranean NW Africa from NW Western Sahara E to Tunisia, along with some isolated records from N Egypt around the Nile Delta. It might be widely and continuously distributed from Morocco to Egypt, and there are possible records from Libya that are labeled as Greater White-toothed Shrew (C. russula). in Soricidae
Distribution. Mediterranean NW Africa from NW Western Sahara E to Tunisia, along with some isolated records from N Egypt around the Nile Delta. It might be widely and continuously distributed from Morocco to Egypt, and there are possible records from Libya that are labeled as Greater White-toothed Shrew (C. russula).
Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning: label data
<p>Label data used in the paper "Nguyen T.-A., Kellenberger B., Tuia D. (2022), <em>Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning</em>" (<a href="https://doi.org/10.1016/j.rse.2022.113217">https://doi.org/10.1016/j.rse.2022.113217</a>).</p> <p>Code available at <a href="https://github.com/thienanhng/ExplainableForestMapping">github.com/thienanhng/ExplainableForestMapping</a>.</p>
Disconnection Labelled Reaction Data
<p>Dataset containing reaction centers used to train the disconnection aware model</p>
FIGURE. Map of specimens collected for the phylogenetic analysis in this study, excluding Tulipa iliensis and T. altaica, which both lacked GPS information. Populations of the new species T. toktogulica are labelled in order of discovery. in Tulipa toktogulica (Liliaceae), a cryptic, endangered new species from the western Tien-Shan, Kyrgyzstan
FIGURE. Map of specimens collected for the phylogenetic analysis in this study, excluding Tulipa iliensis and T. altaica, which both lacked GPS information. Populations of the new species T. toktogulica are labelled in order of discovery.
FIGURE. Trichia munda (syntype): a–i: specimen from box B.M. 2942. a–b. Label, sporocarps and substratum, [box: BM001089762]. c. Detail of ornamentation of capillitium by SEM. d–f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–f = 5 µm, g–h = 2 μm, i = 1 µm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Trichia munda (syntype): a–i: specimen from box B.M. 2942. a–b. Label, sporocarps and substratum, [box: BM001089762]. c. Detail of ornamentation of capillitium by SEM. d–f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–f = 5 µm, g–h = 2 μm, i = 1 µm.
FIGURE. Trichia affinis: a–g: specimen from box B.M. 4147. a. Label, sporocarps and substratum, [box: BM001247524]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–g. Details of spore ornamentation by SEM. Bars: b–c = 2 μm, d–e = 5 µm, f–g = 2 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Trichia affinis: a–g: specimen from box B.M. 4147. a. Label, sporocarps and substratum, [box: BM001247524]. b–c. Details of ornamentation of capillitium by SEM. d–e. Details of free ends of capillitium by SEM. f–g. Details of spore ornamentation by SEM. Bars: b–c = 2 μm, d–e = 5 µm, f–g = 2 μm.
FIGURE. Prototrichia metallica: a–i: specimen from box B.M. 1542. a. Label [box: BM001247523]. b. Sporocarps and substratum. c–e. Details of ornamentation of capillitium by SEM. f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–e = 5 μm, f = 10 µm, g–h = 2 μm, i = 1 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Prototrichia metallica: a–i: specimen from box B.M. 1542. a. Label [box: BM001247523]. b. Sporocarps and substratum. c–e. Details of ornamentation of capillitium by SEM. f. Details of free ends of capillitium by SEM. g–i. Details of spore ornamentation by SEM. Bars: c–e = 5 μm, f = 10 µm, g–h = 2 μm, i = 1 μm.
FIGURE. Hemitrichia karstenii: a and d: specimen from box B.M. 1489. a. Sporocarps and substratum [box: BM001247518]. d. Details of spore ornamentation by SEM. b–c, e–i: specimen from box B.M. 2008. e. Label [box: BM001247519]. b–c. Capillitium by SEM. f–i. Details of spore ornamentation by SEM. Bars: b–c = 5 μm, d and f–h = 2 μm, i = 1 μm. in Critical revision of Trichiales (Myxomycetes) at the Natural History Museum London (BM)
FIGURE. Hemitrichia karstenii: a and d: specimen from box B.M. 1489. a. Sporocarps and substratum [box: BM001247518]. d. Details of spore ornamentation by SEM. b–c, e–i: specimen from box B.M. 2008. e. Label [box: BM001247519]. b–c. Capillitium by SEM. f–i. Details of spore ornamentation by SEM. Bars: b–c = 5 μm, d and f–h = 2 μm, i = 1 μm.
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.