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13 results for “Biometric Analysis”

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zenodo40/100

Dataset for train and test BRITTANY (Biometric RecognITion Through gAit aNalYsis)

<p>This dataset can be used train and test the BRITTANY tool. Information contained in the dataset is especially suitable to be used as train and test data for neural network-based classifiers.</p> <p>This dataset contains 198 Rosbag files, of 5 seconds duration, recorded in different locations (kitchen, livingroom-window and livingroom-door) with Orbi-One robot stood still. Two sorts of Rosbag files have been recorded. In 90 Rosbag files (train*.bag), data recorded correspond to a person walking in a straight line in front of the robot. Data from five different people have been recorded. For each location and person, six Rosbag files have been recorded.</p> <p>In 108 Rosbag files (test*.bag), data recorded correspond to a person walking in a straight line in front of the robot. Data from six different people have been recorded. Five of those six people are the same as in the other rosbags and the other one is not registered in the system to evaluate the false-positive cases in the system.</p>

opencc-by-4.0Jan 2022View details →
zenodo40/100

Fig. 6 in Biometric analysis of the teeth of fossil and Recent hexanchid sharks and its taxonomic implications

Fig. 6. Acrocone shape of lower teeth in Late Eocene (Early Lutetian) Hexanchus agassizi from south−western France. Bivariate plot constructed as in Fig. 4. Data for Recent Hexanchus species are indicated by symbols for H. nakamurai teeth but only by regression lines for H. griseus teeth. Holotypes, paratypes and figured teeth of the fossil species from the work of Ward (1979) are distinguished on the graph. Some H. microdon specimens (Paleocene − early Eocene) have been added for comparison.

opencc-by-4.0Dec 2006View details →
zenodo40/100

Fig. 5 in Biometric analysis of the teeth of fossil and Recent hexanchid sharks and its taxonomic implications

Fig. 5. Acrocone shape of lower teeth in Recent hexanchid species. Small pictures illustrate the changes in acrocone size according to the L2/L3 values. Interrupted lines are regression curves from data for the two living Hexanchus species. For H. griseus, different symbols have been used to indicate the sex of the sharks (m, male; f, female; ind, indeterminate).

opencc-by-4.0Dec 2006View details →
zenodo40/100

Fig. 3 in Biometric analysis of the teeth of fossil and Recent hexanchid sharks and its taxonomic implications

Fig. 3. Fossil Hexanchus sp. lower teeth from the Donzacq Formation of Saint−Géours−d'Auribat (late Ypresian/early Lutetian, south−western France). A. UMC−SG13, antero−lateral file, labial view. B. UMC−SG130, antero−lateral file, lingual view. C. UMC−SG15, lateral file, labial view. D. UMCSG14, antero−lateral file, labial view. E. UMC−SG131, lateral file, lingual view. F. UMC−SG132, antero−lateral file, lingual view. G. UMC−SG17, lateral file, labial view. H. UMC−SG133, lateral file, labial view. I. UMCSG134, broken lateral lower tooth with peculiar deep root, labial (I1) and lingual (I2) views. J. UMC−SG135, lateral file, labial view. K. UMC−SG12, symphysial file, lingual view.

opencc-by-4.0Dec 2006View details →
zenodo40/100

Fig. 2 in Biometric analysis of the teeth of fossil and Recent hexanchid sharks and its taxonomic implications

Fig. 2. Overview of dental variations in lower teeth of living species of Hexanchus. Labial view of some lower teeth of Hexanchus griseus (A–L) and Hexanchus nakamurai (M–O). A. ♀uncertain (UMC−REC204bM),&gt;300 cm TL; 1st left file (A), 3rd (uncertain) left file (A), and lateral left 1 2 file (A). B. ♂ (UMC−REC204M), 300 cm TL; 3rd right file (B), 1st right 3 1 file (B), symphysial file (B), and 1st left file (B). C. ♂ (UMC− 2 3 4 REC162M), 223 cm TL; 1st left file (C), 2nd right file (C), and 3rd left 1 2 file (C). D. ♂ (UMC−REC175M), 195 cm TL; 1st left file (D), 3rd left file 3 1 with enlargement on the mesial serrated cutting edge of the first cusp (D2), 4th left file (D), and 5th left file (D). E. ♀ (UMC−REC161M), 191 cm 3 4 TL; 1st left file (E) and 3rd left file (E). F. ♂ (UMC−REC611M), 1.08 cm 1 2 TL; 1st left file (F), 4th left file (F). G. ♀ (UMC−REC163M), 114 cm TL, 1 2 1st right file. H. ♀ (UMC−REC164M), 117 cm TL, 3nd left file. I. Unsexued (UMC−REC201M), 58 cm TL 2nd right file. J. Unsexued (UMCREC172M), 72 cm TL, 2nd left file. K. Unsexued (UMC−REC173M), 75 cm TL, 1st left file. L. ♂ (UMC−REC174M), 80 cm TL, 1st right file. M. ♀ uncertain (UMC−REC197M), 148 cm TL; 4th rigth file (M), 1st 1 right file with enlargement on the mesial serrated cutting edge of the first cusp (M2), symphysial file (M3). N. ♂ uncertain (UMC−REC192M), 145 cm TL; 3rd right file (N) and 1st left file (N). O. Sex undetermined 1 2 (UMC−REC196M), 1 m TL, 1st right file (O), 1st left file (O), 3rd lateral 1 2 file (O), and 4th lateral file (O). A–D and F–O are respectively at the 3 4 same magnification (vertical white bars). Abbreviation: TL, total length.

opencc-by-4.0Dec 2006View details →
zenodo40/100

Fig. 1. A in Biometric analysis of the teeth of fossil and Recent hexanchid sharks and its taxonomic implications

Fig. 1. A. Simplified terminology of a Hexanchus lower tooth (Hexanchus griseus, 4th right file,&gt;300 cm total length, UMC−REC204bM). B. Schematic drawing of measurements (homologuous points and intermediate distances) discussed in the text.

opencc-by-4.0Dec 2006View details →
zenodo36/100

Figure 3 in Preliminary report of a biometric analysis of greater pipefish Syngnathus acus Linnaeus, 1758 for the western Black Sea

Figure 3. Length–weight relationship of S. acus from catches in the western Black Sea.

opencc-by-4.0Feb 2015View details →
zenodo36/100

Figure 2 in Preliminary report of a biometric analysis of greater pipefish Syngnathus acus Linnaeus, 1758 for the western Black Sea

Figure 2. Diagram of morphometric measurements of pipefishes.

opencc-by-4.0Feb 2015View details →
zenodo36/100

Figure 1 in Preliminary report of a biometric analysis of greater pipefish Syngnathus acus Linnaeus, 1758 for the western Black Sea

Figure 1. Sampling stations.

opencc-by-4.0Feb 2015View details →
ClinicalTrials.gov32/100

Elderly Chronic Diseases Online Biometric Analysis Home Living Technology

ClinicalTrials.gov study NCT02155686. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

OMuSense-23: A Multimodal dataset for contactless breathing pattern recognition and biometric analysis

<p>OMuSense-23 is a multimodal dataset for non-contact biometric and breathing analysis. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <br>This database comprises RGBD and mmWave radar data collected from 50 participants. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <br>The data capture process involves participants engaging in four breathing pattern activities &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <br>(normal breathing, reading, guided breathing, and breath holding to simulate apnea) &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; <br>each one performed in three distinct static poses: standing (A), sitting (B), and lying down (C). &nbsp; &nbsp; &nbsp;&nbsp; <br>&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <br>&nbsp;For citations please refer to the paper:<br>&nbsp;Manuel Lage Ca&ntilde;ellas, Le Nguyen, Anirban Mukherjee, Constantino &Aacute;lvarez Casado,<br>&nbsp;Xiaoting Wu, Nhi Nguyen, Praneeth Susarla, Sasan Sharifipour, Dinesh B. Jayagopi, Miguel Bordallo L&oacute;pez,<br>&nbsp;"OmuSense-23: A Multimodal Dataset For Contactless Breathing Pattern Recognition And Biometric Analysis",<br>&nbsp; arXiv:2407.06137, 2024 &nbsp;&nbsp;</p>

opencc-by-4.0May 2024View details →
ClinicalTrials.gov24/100

Hyperspectral Analysis of Sweat Metabolite Biometrics for Real-Time Detection of COVID-19

ClinicalTrials.gov study NCT05044780. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
geo20/100

Impact of breed and sex on porcine endocrine transcriptome: A Bayesian biometrical analysis

GEO Series GSE14739. Sus scrofa. 80 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2009View details →

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Allen Brain Atlas

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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.

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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
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Last verified 2026-04-29Open record