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67 results for “Larval Habitats”

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zenodo32/100

FIGURE 7 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 7. Salivary gland chromosome complement of C. species Cape Cod. a. basal region of arm B showing similarity to, and b. region of arm F inverted compared to those of C. quinnitukqut. Symbols as in Fig. 4.

opennotspecifiedDec 2010View details →
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FIGURE 5 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 5. Polymorphisms and relationships of arms A, B, and E of C. quinnitukqut: a. decA1.1 of C. decorus showing region of possible homology with b. qutA2.2; c. qutA1.1 and B with nucleolus developed; d. qutE1.1; e. qutE2.2. Symbols as in Fig. 4.

opennotspecifiedDec 2010View details →
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FIGURE 4 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 4. Salivary gland chromosome complement of C. quinnitukqut: Centromeres marked by arrowheads. Limits of intraspecific inversions marked by brackets above the region involved, lines underneath indicate regions of homology to other species (see text for details). N—nucleolus, BR—Balbiani ring.

opennotspecifiedDec 2010View details →
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FIGURE 3 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 3. Larval characters of C. quinnitukqut: a. pecten epipharyngis, b. premandible, c. antenna, d. mentum, e. ventromentum, f. mandible, g. developing pupal spur from a prepupal larva.

opennotspecifiedDec 2010View details →
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FIGURE 2 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 2. Female genitalia of C. quinnitukqut: a. lateral view, b. ventral view, c. enlargement to show vagina and gonocoxite IX.

opennotspecifiedDec 2010View details →
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FIGURE 1 in Description of Chironomus quinnitukut, n. sp., closely related to the C. decorus group in North America, with characterization of an additional larval form from halobiontic habitats

FIGURE 1. Male genitalia of C. quinnitukqut: a. dorsal view, b. inferior volsellae, c. apodemes, d. phallapodeme and pars centralis - 1. Note the double "fulcrum" on the transverse sternapodeme, and 2. Ventral portal setae.

opennotspecifiedDec 2010View details →
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FIG. 2 in Contrasting marine larval settlement patterns imply habitat-seeking behaviours in a fouling and a cryptic species (phylum Bryozoa)

FIG. 2. Inferred laboratory behaviours and stylized ®eld distributions of (A) Schizoporella errata and (B) Plagioecia patina. Schizoporella errata colonies are indicated by striped areas and are shown attached to undersides of a boat and to shallow parts of a vertical man-made structure such as a piling or wall. Plagioecia patina colonies are indicated by cross-hatched areas and are shown attached to deep objects, including the underside of a shell resting on its concave surface. Larval swimming paths in the laboratory experiment are indicated by sequentially numbered arrows, the widths of which are roughly proportioned to the proportion of larvae following the path. Black rectangles represent dark conditions. Inferred stimuli are indicated by letters: p+, photopositive; p±, photonegative; g +, geopositive; g±, geonegative; go, possible neutral or counterbalancing responses that result in, on average, sustained horizontal swimming.

opennotspecifiedDec 2010View details →
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FIG. 1 in Contrasting marine larval settlement patterns imply habitat-seeking behaviours in a fouling and a cryptic species (phylum Bryozoa)

FIG. 1. Pattern of the panel that forms the back of the array of contiguous settlement chambers in the experiment. Cross-sectional pro®les of the 24 3-cm highÖ3-cm wideÖ15.5-cm long chambers are seen. Chambers on the left were dark and those on the right were lighted. Within each of the three levels (high, middle, low), each chamber in the lighted side had a unique ¯ow velocity through it determined by the size of the downstream opening (symbolized by the size of the circle within each square). Four elongate bounding surfaces de®ned each elongate chamber: a downward-facing ceiling, two lateral walls and an upward-facing ¯oor. Distance within the chambers is not portrayed in the ®gure, but each of the four elongate walls of chambers was examined and scored as three equal segments: the portion closest to the entrance (upstream end), the middle portion and the portion closest to the back panel (downstream end).

opennotspecifiedDec 2010View details →
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Figs. 1–6. Tomoxia lineella LeConte. Figs. 1–4. Larva. 1 in Descriptions of Larva and Pupa of Tomoxia lineella LeConte with Notes on Larval Habitat (Coleoptera: Mordellidae)

Figs. 1–6. Tomoxia lineella LeConte. Figs. 1–4. Larva. 1) Habitus, lateral view; 2) head with maxillae and labium removed, dorsal view; 3) maxillae and labium, ventral view; 4) abdominal apex, ventral view. Figs. 5–6. Pupa. 5) Habitus, ventral view; 6) habitus, dorsal view.

opennotspecifiedSep 2003View details →
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Figs. 7–11. Nicagus obscurus. 7 in Description Of The Larva Of Nicagus Bscurus (Leconte) (Coleoptera: Lucanidae: Nicaginae), With Comments On Its Position In Lucanidae And Notes On The Larval And Adult Habitat

Figs. 7–11. Nicagus obscurus. 7) Tarsungulus, right prothoracic leg; 8) mesothoracic leg, posterior margin; 9) metathoracic leg, posterior margin; 10) abdominal tergite 7, alar area, lateral view; 11) abdominal segment 10, caudal view.

opennotspecifiedJun 2002View details →
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Figs. 4–6. Nicagus obscurus. 4A in Description Of The Larva Of Nicagus Bscurus (Leconte) (Coleoptera: Lucanidae: Nicaginae), With Comments On Its Position In Lucanidae And Notes On The Larval And Adult Habitat

Figs. 4–6. Nicagus obscurus. 4A) Left mandible, dorsal view; 4B) right mandible, dorsal view; 5) right maxilla, ventral view; 6) labium, ventral view.

opennotspecifiedJun 2002View details →
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Field and Lab_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>Field and Lab observations_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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Meteorological data_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>Meteorological data_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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Depressions and Boundary_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>Depressions and Boundary_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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Aerial Images_Part 3_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>Aerial Images_Part 3_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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Orthomosaic_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>Orthomosaic of the aerial images_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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DSM_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria

<p>DSM_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>

opencc-by-4.0Nov 2024View details →
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Figure 1 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina

Figure 1. (a) Trunk of the grapevine; (b) third-stage larvae of Microdon (Chymophila) bruchi Shannon, 1927 in ant nests inside Vitis vinifera L. plant.

opennotspecifiedMay 2020View details →
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Figure 8 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina

Figure 8. Microdon (Chymophila) SUR-02 of Reemer (2014), male, habitus; representative of the 'metallic species group' (Suriname, Peperpot, 24 February 2006, leg. M. Reemer, coll. RMNH).

opennotspecifiedMay 2020View details →
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Figure 7 in New information about the third stage larva and larval habitat of Microdon (Chymophila) bruchi Shannon, 1927 (Diptera, Syrphidae) from Argentina

Figure 7. Microdon (Chymophila) histrio Wiedemann, holotype female, abdomen; representative of the 'striped-abdomen species group'.

opennotspecifiedMay 2020View 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.

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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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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.

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Last verified 2026-04-29Open record