Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,139
datasets available to search
ShareScore release 0.7.1
Dataset results
2,139 results for “recognition”
Fig. 47 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 47. Aphaniosoma kirkspriggsi sp. n., ơ: (a) hypopygium, lateral; (b) st 6, ventral. Scale bar = 0.15 mm.
Fig. 43 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 43. Aphaniosoma frequens sp. n., ơ: (a) psg, posterior; (b) hypopygium, lateral; (c) st 6, ventral; (d, e) distiph, lateral (d) and ventral (e). Scale bars = 0.2 mm.
Fig. 45 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 45. Aphaniosoma gaiasicum sp. n., ơ: (a) hypopygium, lateral; (b) st 6, ventral. Scale bar = 0.18 mm.
Fig. 38 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 38. Aphaniosoma conspicuum sp. n., ^postabdomen, dorsal (a) and ventral (b). Scale bar = 0.15 mm.
Fig. 35 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 35. Aphaniosoma approximatum Becker, ^postabdomen: (a) posterior, (b) lateral, (c) spermathecae, (d) st 7. Scale bar = 0.15 mm.
Fig. 31 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 31. Aphaniosoma aethiops sp. n., ơ: (a, b) hypopygium lateral (a) and posterior (b); (c) st 6, ventral. Scale bars = 0.15 mm.
Fig. 48 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 48. Aphaniosoma micropygum sp. n., ơ: (a) hypopygium, lateral, scale bar = 0.07 mm; (b) st 6, ventral, scale bar = 0.05 mm.
Fig. 33 in A revision of Afrotropical Chyromyidae (excluding Gymnochiromyia Hendel) (Diptera: Schizophora), with the recognition of two subfamilies and the description of new genera
Fig. 33. Aphaniosoma aldabrensis sp. n. ơ: (a) hypopygium, lateral; (b) st 6, ventral. Scale bar = 0.08 mm.
Automatic speech recognition datasets for Gronings, Nasal, and Besemah
<p>Automatic speech recognition datasets for Gronings, Nasal, and Besemah for experiments reported in Bartelds, San, McDonnell, Jurafsky and Wieling (2023). <em>Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation</em>. ACL 2023.</p> <p>Model training code available at: https://github.com/Bartelds/asr-augmentation</p>
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-worn Inertial Sensors
<p>In this paper we present a benchmark dataset for evaluation of physical human activity recognition from wrist-worn sensors, for the specific setting of basketball training, drills, and games.<br> Basketball activities lend themselves well for measurement by wrist-worn inertial sensors, and systems that are able to detect such sport-relevant activities could be used in applications toward game analysis, guided training, and personal physical activity tracking.<br> The dataset was recorded for two teams from separate countries (USA and Germany) with a total of 24 players who wore an inertial sensor on their wrist and spanned both repetitive basketball training sessions and full games.<br> Particular features of this dataset include an inherent variance through cultural differences in game rules and styles as the data was recorded in two countries, as well as different sport skill levels, since the participants were heterogeneous in terms of prior basketball experience.<br> We illustrate the datasets' features in several time-series analyses and report on a baseline classification performance study with a state-of-the-art deep learning architecture.</p>
Interpretation of EKG with Image Recognition and Convolutional Neural Networks
<p>Dataset used in the training and evaluation of "Interpretation of EKG with Image Recognition and Convolutional Neural Networks"</p> <p>Abstract:</p> <p>Electrocardiograms (EKG) form the backbone of all cardiovascular diagnosis, treatment and follow up. Given the pivotal role it plays in modern medicine, there have been multiple efforts to computerize the EKG interpretation with algorithms to improve efficiency and accuracy. Unfortunately, many of these algorithms are machine specific and run-on proprietary signals generated by that machine, hence not generalizable. We propose the development of an image recognition model which can be used to read standard EKG strips. A convolutional neural network (CNN) was trained to classify 12-lead EKGs between 7 clinically important diagnostic classes. An austere variation of the MobileNetV3 model was trained from the ground up on publicly available labeled training set. The precision per class varies from 52% to 91%. This is a novel approach to EKG interpretation as an image recognition problem.</p>
Fig. 20 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 20. Libitioides sayi (Simon, 1879), ♂ (MNRJ 58916) from Lake Kirby, Texas. a. Dorsal view of body. b. Left femur and trochanter IV, dorsal view. c. Left metatarsus and tarsomeres of leg I, lateral view. Scale bars = 1 mm.
Fig. 5 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 5. Southeastern USA, with the Köppen-Geiger climate regions superimposed, showing the distribution of the American Cosmetidae C.L. Koch, 1839.
Fig. 4 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 4. Libitioides sayi (Simon, 1879), morph C, syntype, ♂ (ZMUC). a. Habitus, dorsal view. b. Same, sinistrolateral view. c. Same, ventral view. d. Same, detail of carapace, dorsal view. e. Labels.
Fig. 2 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 2. Libitioides spp. from USA, in vivo. a. L. ornata (Say, 1821) (morph A), ♂ and ♀, Florida, Orange, Orlando Wetlands Park (©Mary Keim). b. L. sayi (Simon, 1879) (morph B, "clean"), ♂, Texas, Sherman Co. (©Kate Farkas). c. L. sayi (morph C, "depressa"), ♂, Texas, Kleberg Co., Padre Island National Seashore (©Meghan Cassidy). d. L. albolineata (Sørensen, 1884) (typical morph D), ♂, Georgia, Fulton Co. (©E. Christina Butler). Photos are somewhat cropped. All images used here under written permission.
Fig. 21 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 21. Libitioides sayi (Simon, 1879), (MNRJ 58916) from Lake Kirby, Texas. Habitus. a. Male, dorsal view. b. Sinistrolateral view. c. Frontal view. d. Ventral view. e. Panoramic, dorsal view. f. Female, dorsal view (MNRJ 58916). Scale bars = 1 mm.
Fig. 3 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 3. Libitioides modesta (Banks, 1909), holotype ♂ of Platycynorta secunda Roewer 1947 (SMF RII 130) from Cuba. a. Habitus, dorsal view. b. Same, ventral view. c. Original Roewer's label. d. Same as (a), detail of dorsal scutum and basal part of legs. e. Same, detail of basichelicerite, trochanters I–III, protoglyphs and deutoglyphs. f. Same, dextrolateral view. Images courtesy Abel Pérez-González.
Fig. 16 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 16. Libitioides albolineata (Sørensen, 1884) (USNMENT 0153862) from Palmyra, Virginia, distal part of penis. a. Dorsal view. b. Ventral view. c. Dextrolateral view. d. Detail of glans, dextrolateral view. e. Apical view. Scale bars: a–c = 50 μm; d = 20 μm; e = 40 μm.
Fig. 17 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 17. Libitioides ornata (Say, 1821), ♂ (USNMENT 01538061) from Hillsborough County, Florida. a. Dorsal view of body. b. Left femur and trochanter IV, dorsal view. c. Left metatarsus and tarsomeres of leg I, lateral view. d. left chelicera dorsal view. Scale bars = 1 mm.
Fig. 18 in Once upon a time in America: recognition of the species of Libitioides from USA, with comments on other American Cosmetidae (Opiliones, Laniatores)
Fig. 18. Libitioides ornata (Say, 1821) (USNMENT 0153861) from Hillsborough, Florida. Habitus. a. Male, dorsal view. b. Sinistrolateral view. c. Frontal view. d. Ventral view. e. Panoramic, dorsal view. f. Female, dorsal view (USNMENT 0153861). Scale bars: a–c = 1 mm; d–f = 2 mm.
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.