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Figure 6 in The larval development of the spider crab Rochinia gracilipes (Crustacea: Majoidea: Epialtidae: Pisinae) reared in the laboratory
Figure 6. Megalopa of Rochinia gracilipes A. Milne Edwards, 1875. (A). maxilliped I; (B) maxilliped II. Scale bars = 0.1 mm.
FIGURE 8 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 8. Salivary gland chromosomes of Glyptotendipes glaucus; a—Chromosome AB; b—Chromosome CD; c— Chromosome EF; d—Chromosome G.
FIGURE 3 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 3. Glyptotendipes glaucus larvae (light microscope); A—Head, ventral view; B—Premandible; C—Seta subdentalis of mandible; D—Lower part of labrum; E—Mentum. Abbreviations: BS—basal sclerite; ChL—chaetulae laterales; LL—labral lamella; M—mentum; MP—maxilary palpus; PE—pecten epipharings; Pm—premandible; U—ungula.
FIGURE 4 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 4. Glyptotendipes glaucus larvae—maxilla (SEM); A—Head capsule, ventral view (200x); B—Maxilla (200x); C— Maxilary palp and setae maxillaris (SM 1 and SM 2) (1000x); D—Maxilary palp (1000x); E—Lacinia, left side (750x); F— Lacinia, right side (750x); G—Plate X (2000x); G1. Part of plate X (5000x). Abbreviations: A—a seta; Aa—antaxial seta; Bb seta; Bs—bisensillum; G—galea; La—lacinia; LCh—lacinial chaeta; LL—labral lamella; M—mentum; MP—maxillary palp; Pa— paraxial seta;? Pl X—plate X; SM 1 and SM 2 —setae maxillaris;VmP—ventromental plate.
FIGURE 7 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 7. Glyptotendipes glaucus larvae—anal end of body, lateral view (SEM); A—General view (75x); B—Ventral tubules, ventral view (350x); C—Anal end of body, ventral view (75x). Posterior parapod (200x); D—Procercus and anal tubules (200x); E—Posterior parapods (200x); F—Claws of posterior parapods (500x). Abbreviations: PP—parapods; TAanal tubule; TV—ventral tubules.
FIGURE 2 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 2. Glyptotendipes glaucus larvae—labrum (SEM); A—General view of labrum (350x); B—Anterior part of labrum (750x); C—Labral lamela (1000x); D—Part of labrum (2000x); E—Pecten epipharingis (5000x). Abbreviations: Ch—chaeta of labrum; LL—labral lamella; PE—pecten epipharingis; S I, S II, S III—labral setas; TB—tormal bar.
FIGURE 1 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 1. Glyptotendipes glaucus larvae—head; A—Head capsule, side view (SEM 75x); B— Granulation of head surface (SEM 2000x); C—Head, dorsal view (SEM 150x); D—Head, dorsal view (light microscope); E—Antenna (SEM 200x); F— Antenna (SEM 1000x); G—Antenna (light microscope). Abbreviations: A.P. —anterior parapods; ABl—accessory blade; Blantennal segments II–V; S 1, S 2 —labral setae; Sl 1—labral sclerite 1; Sl 2—sclerite 2, anterior margin strongly concave; Sl 3—labral sclerite 3; Sl 4—labral sclerite 4.
FIGURE 10 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 10. Maxilla of some species of Chironomini; A—Glyptotendipes glaucus: mentum, ventromental plate and maxilla (accord. to Kalugina 1963); B—Chironomus anthracinus: maxilla (accord. to Mozley 1970), description of figure in Saether (1980); C—Dicrotendipes californicus (according to Sublette 1979); D—Glyptotendipes (G.) pallens syn. G. (G.) polytomus (accord. to Kraatz 1911), description Romaniszyn (1958); E—Glyptotendipes glaucus current research.
FIGURE 6 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 6. Glyptotendipes glaucus larvae (SEM); A—Head capsule, side view (75x); B—General view of anterior parapods (100x); C—Claws (150x). a. hook claws, b. sicle claws, c. straight shape claws; D—Fold claws (1000x); E—Fold claws (1500x); F—Sicle claws (1500x); G—Sicle claws (3500x); H—Straight shape claws (2000x); I—Straight shape claws (3500x). Abbreviations: A.P. —anterior parapods.
FIGURE 5 in Larva of Glyptotendipes (Glyptotendipes) glaucus (Meigen 1818) (Chironomidae, Diptera) — morphology by Scanning Electron Microscope (SEM), karyotype, and biology in laboratory conditions
FIGURE 5. Ventromental plate; A, A1—Microtendipes pedullus inner surface of ventromental place (accord. Webb 1980); B—F Glyptotendipes glaucus larvae; B—Head capsule, ventral view, right side (SEM 200x); C—Anterior margin of ventromental plate (SEM 500x); D—Anterior margin of ventromental plate (SEM 5000x); E—Anterior margin of ventromental plate (SEM 15000x); F—Ventromental plate (light microscope). Abbreviations: L—labrum; lp—ling plate; Mmentum; MP—maxillary palp; VmP—ventromental plate.
FIGURE 3. Alpheus brasileiro. Zoea III. a in Morphological description of early zoeal stages of Alpheus brasileiro Anker, 2012 reared in the laboratory, including a revision of the larval morphology of the first zoeal stage of the genus Alpheus Fabricius, 1798 (Caridea: Alpheidae)
FIGURE 3. Alpheus brasileiro. Zoea III. a. Dorsal view; b. Lateral view; c. Carapace, lateral view; d. Antennule; e. Antenna; f. Maxillule; g. Maxilla; h. First maxilliped; i. Second maxilliped; j. Third maxilliped. k. First pereopod, l. Pereopods II, III, IV; m. Fifth pereopod; n. Telson. (Scale bars: a–c = 0.2 mm; d, e, h–n = 0.1 mm; f, g = 0.05 mm).
FIGURE 2. Alpheus brasileiro. Zoea II. a in Morphological description of early zoeal stages of Alpheus brasileiro Anker, 2012 reared in the laboratory, including a revision of the larval morphology of the first zoeal stage of the genus Alpheus Fabricius, 1798 (Caridea: Alpheidae)
FIGURE 2. Alpheus brasileiro. Zoea II. a. Dorsal view; b. Lateral view; c. Carapace, lateral view; d. Antennule; e. Antenna; f. Maxillule; g. Maxilla; h. First maxilliped; i. Second maxilliped; j. Third maxilliped. k. Pereopods I, II, III, V; l. Telson. (Scale bars: a–c = 0.5 mm; d, e, h–l = 0.1 mm; f, g = 0.05 mm).
FIGURE 1. Alpheus brasileiro. Zoea I. a in Morphological description of early zoeal stages of Alpheus brasileiro Anker, 2012 reared in the laboratory, including a revision of the larval morphology of the first zoeal stage of the genus Alpheus Fabricius, 1798 (Caridea: Alpheidae)
FIGURE 1. Alpheus brasileiro. Zoea I. a. Dorsal view; b. Lateral view; c. Carapace, lateral view; d. Antennule; e. Antenna; f. Maxillule; g. Maxilla; h. First maxilliped; i. Second maxilliped; j. Third maxilliped. k. Pereopods I, II, V; l. Telson. (Scale bars: a–c = 0.5 mm; d, e, h–j, l = 0.1 mm; f, g, k = 0.05 mm).
Clinical and laboratory variables of severe malaria extracted from included studies
<p>Data extracted from included studies per prognostic indicator needed to construct two-by-two tables made up of outcome (survival/death) and presence/absence of an indicator.</p>
Real-World Gait Speed Estimation: Laboratory and Real-Life Patient Data from TOLIFE Wearables
<div><strong>TOLIFE Wearable Dataset Collection</strong></div> <p>This data collection was carried out in the context of the TOLIFE Horizon Europe project, which aims to develop and validate artificial intelligence (AI) solutions for processing patient data collected through non-intrusive wearable sensors. The ultimate goal is to enable personalized treatment, monitor health outcomes, and improve the quality of life of patients with Chronic Obstructive Pulmonary Disease (COPD).</p> <p>The dataset is composed of four distinct subsets, each acquired under different conditions and with specific goals:</p> <div><strong>1. </strong>Gait Speed Dataset</div> <div><strong>2.</strong> Activity Recognition Dataset</div> <div><strong>3. </strong>Validation Dataset</div> <div><strong>4. </strong>Daily Life Dataset</div> <div> </div> <p><strong>1. Gait Speed Dataset:</strong></p> <div><strong>Objective:</strong> To collect reference gait speed data under controlled conditions using wearable sensors, with a focus on validating gait speed estimation algorithms.</div> <div> </div> <div><strong>Materials:</strong></div> <div>Smartphone: Samsung Galaxy A14</div> <div>Smartwatch: Samsung Galaxy Watch 5</div> <div>Smart shoes (custom prototype)</div> <p><strong>Acquisition Protocol:</strong></p> <div>Participants: 25 healthy individuals (10 M, 15 F), age: 28.9 ± 4.8 years</div> <div>Test: Six Minute Walking Test (6MWT) along a 10-meter path</div> <div>Paces: Slow, Medium, Fast (self-selected)</div> <div> </div> <div>Device Placement:</div> <div>- Watch: left </div> <div>- Phone: left front pocket (screen facing thigh, Y-axis upward)</div> <div>- Reference System: Xsens Awinda (17 wireless IMUs) with MVN Analyze software</div> <div>- Reference gait speed = horizontal velocity of Center of Mass (CoM)</div> <p><strong>Folder Content:</strong></p> <div>Wearable folder: individual .csv files for each sensor (phone, watch, shoes)</div> <div>Reference folder: CoM speed from Xsens + walked distances in smwd.csv</div> <div> </div> <p><strong>2. Activity Recognition Dataset:</strong></p> <div><strong>Objective:</strong></div> <div>To build a dataset for training AI models to recognize different daily activities (e.g., resting, walking, stair climbing) using wearable sensor data.</div> <p><strong>Materials:</strong></p> <div>Same TOLIFE wearable platform as above (phone, watch, smart shoes).</div> <p><strong>Acquisition Protocol:</strong></p> <div>Participants: 15 healthy individuals (7 F, 8 M), age: 27.3 ± 3 years</div> <div>Activities:</div> <div>- Resting: lying, sitting, standing (max 5 sec walking allowed)</div> <div>- Walking: 3 sessions (2 x 180 m + 1 x 450 m with directional changes)</div> <div>- Stair climbing: continuous ascent and descent for ~2 minutes</div> <div>Smartwatch placement: user's preferred wrist</div> <p><strong>Folder Content:</strong></p> <div>Data folder: wearable sensor data for each recording session</div> <div>Timestamps folder: .csv files with annotated start/stop times and activity labels</div> <div> </div> <p><strong>3. Validation Dataset:</strong></p> <div><strong>Objective:</strong></div> <div>To test the robustness of trained activity and gait estimation models in less controlled, real-world environments.</div> <p><strong>Materials: </strong>Same TOLIFE wearable platform.</p> <p><strong>Acquisition protocol:<br></strong>Participants: 10 healthy adults (5 M, 5 F), age: 43.8 ± 12.1 years<br>Protocol: free walking outdoors, with mixed activities:<br>- Resting, level walking, stair climbing<br>- 4 walking paths of known length (100–280)<br>- Device placement: user’s preferred side (watch), front pants pocket (phone)</p> <p><strong>Folder Content:<br></strong>Data folder: continuous sensor data recordings<br>Timestamps folder: annotated transitions between activities</p> <p> </p> <div><strong>4. Daily Life Dataset:</strong></div> <div> </div> <div><strong>Objective: </strong>To capture real-world data from COPD patients in daily life conditions for long-term monitoring of mobility and gait speed.</div> <p><strong>Materials: </strong>TOLIFE wearable platform (smartphone, smartwatch, smart shoes)</p> <p><strong>Acquisition Protocol:<br></strong>Participants: 38 COPD patients (23 M, 15 F), age: 63.3 ± 5.8 years<br>Duration: continuous data collection over two weeks<br>Initial Reference Visit (RV):<br>- 2 clinical 6MWTs performed by a pulmonologist, average distance used as a reference value<br>- Instructions: participants used the devices freely (indoors/outdoors) in comfortable conditions</p> <p><strong>Folder Content:<br></strong>Data folder: two weeks of wearable sensor recordings per patient<br>Clinical Six_Minute_Walking_Distance.csv: distances from RV</p> <p> </p> <p>Citation:</p> <p>When using any portion of this dataset collection, please cite:</p> <p>Zanoletti, M.; Bufano, P.; Bossi, F.; Di Rienzo, F.; Marinai, C.; Rho, G.; Vallati, C.; Carbonaro, N.; Greco, A.; Laurino, M.; et al. Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings. Sensors 2024, 24, 3205. https://doi.org/10.3390/s24103205</p>
Turek Laboratory Sleep-Wake Dataset and R Code for Analysis
<p>Sleep-wake dataset for MCI-Park mice and R code used for statistical analysis. </p>
Fig. 2 in Dietary Program for Rearing the Larvae of a Diving Beetle, Dytiscus sharpi(Wehncke), in the Laboratory (Coleoptera: Dytiscidae)
Fig. 2. Relationship of D. sharpi larval size and prey tadpole size. Black and white circles indicate eaten and surviving tadpoles in a 12 hr period, respectively. There was a significant difference between the number of eaten and surviving tadpoles in the case of first (P, 0.001) and third (P, 0.05) instars. No significant difference was observed in the case of second instars.
Fig. 2 in Interference Competition and Cannibalism by Dorcus rectus(Motschulsky) (Coleoptera: Lucanidae) Larvae in the Laboratory and Field
Fig. 2. Relationship between larval density of Dorcus rectus in decaying willow trunks and the intensity of intraspecific interference in the field. Each circle represents an examined trunk. Trunks with one to four larvae were excluded from this figure because the results for one larva would have changed the percentage of wounded larvae greatly by 25–100%.
Fig. 3 in Dietary Program for Rearing the Larvae of a Diving Beetle, Dytiscus sharpi(Wehncke), in the Laboratory (Coleoptera: Dytiscidae)
Fig. 3. Total number of tadpoles consumed by first (black circles), second (white circles) and third (triangles) instars of D. sharpi. Values indicate the mean ± SD of 10 larvae.
Fig. 2 in Longevity and Fecundity of Metamasius quadrilineatus Champion (Coleoptera: Dryophthoridae) on a Natural Bromeliad Host in the Laboratory
Fig. 2. Age-specific egg production by female Metamasius quadrilineatus expressed as (A) percentage of eggs produced relative to the total egg production and (B) mean number of eggs per female per week from six cages each initially containing five male and five female weevils. Vertical bars denote 1 standard error above the mean.
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.