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13,864 results for “staging”
Year 2016, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2016, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2017, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2017, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2018, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2018, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
PIE LTER, Year 2016, 15 minute measurements of stage in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.
Year 2016, continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential). Discharge is determined from stage using discharge vs stage regressions.
PIE LTER, year 2017, 15 minute measurements of stage in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.
Year 2017, continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential). Discharge is determined from stage using discharge vs stage regressions.
PIE LTER, year 2018, 15 minute measurements of stage in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.
Year 2018, continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential). Discharge is determined from stage using discharge vs stage regressions.
Years 2019-2021, 15 minute measurements of stage in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.
Year 2019, 2020, and 2021 continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential) in the Ipswich River watershed. Discharge is determined from stage using discharge vs stage regressions.
Year 2019-2021, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2019, 2020 and 2021 continuous measurements, every 15 minutes, were made of depth and stream temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential) in the Ipswich River watershed. Discharge is determined from stage using discharge vs stage regressions.
Hydraulic Constraints on Two Life History Stages of Larrea tridentata in a Chihuahuan Desert Creosote Shrubland at the Sevilleta National Wildlife Refuge, New Mexico (2002-2003)
Maintaining high rates of water loss during times of high resource availability could allow establishing woody desert perennials to grow quickly by allowing them to take advantage of the fleeting but abundant monsoonal moisture typical of warm deserts like the Chihuahuan. However, a plant cannot endlessly increase water loss in order to grow faster --there are hydraulic constraints on rates of water loss. The hydraulic properties of each particular plant xylem and soil microsite, as well as the AR:AL absorbing root area to transpiring leaf area ratio) interact to set limits on rates of water loss. If transpiration rates become too high, cavitation may limit the ability of the xylem to supply water to the leaves. The main objective of this study was to test two hypotheses on a population of Larrea tridentata at the Sevilleta LTER in central New Mexico (1) do small plants grow faster and use water less conservatively than large, and (2) are there differences in the hydraulic constraints on small and large plants. Measurements were made every six weeks in the spring, summer and fall from April 2002 - August 2003. Field measurements of shoot growth, gas exchange and plant and soil water potentials were made to determine growth rates and water use. Measurements of leaf specific conductance determined the ability of the xylem to supply water to the leaves. Excavation findings were used to estimate (AR:AL). Xylem vulnerability curves and soil texture analysis were used to determine the hydraulic properties of the plant xylem and soil. A model determined where the limiting conductance occurred in the plant-soil continuum.
MiRoR4_P1_A systematic review describes models for recruitment prediction at the design stage of a clinical trial
<p>This dataset is related to the publication "A systematic review describes models for recruitment prediction at the design stage of a clinical trial".</p>
Figures 1–5. Chileporter huemeri n. gen. and n in New genus and species of Yponomeutidae (Lepidoptera: Yponomeutoidea) associated with Maytenus boaria Molina (Celastraceae) from Chile, with descriptions of immature stages and natural history observations
Figures 1–5. Chileporter huemeri n. gen. and n. sp., adult. 1) Wings, dorsal view. 2) Head, side view. 3) Wing veins. Scale bar: 1 mm (1, 2, 3). 4). Sternum 2. Scale bar: 0.5 mm. 5). Tergum spiny setae. Scale bar: 0.25 mm.
Figures 12–20. Chileporter huemeri n. gen. and n in New genus and species of Yponomeutidae (Lepidoptera: Yponomeutoidea) associated with Maytenus boaria Molina (Celastraceae) from Chile, with descriptions of immature stages and natural history observations
Figures 12–20. Chileporter huemeri n. gen. and n. sp. 12–15. Adult female. Scale bar: 0.25 mm. 12) Female genitalia. 13) Ductus bursae. 14) Corpus bursae. 15) Signum. 16) Larva, dorsal view. Scale bar: 1.0 mm. 17–20. Larval structures. Scale bar: 0.20 mm. 17) Mandible. 18) Crochets. 19) Microprocesses on integument. 20) Antennae.
Fig. 7 in The changing course of the Amazon River in the Neogene: center stage for Neotropical diversification
Fig. 7. Growth of mega-wetlands in northern South America. Geological time scale at top. Eustatic sea-level estimates from Zachos et al. (2001). Area estimates of for Atlantic and Caribbean draining mega-wetlands from paleogeographic reconstructions in Wesselingh, Hoorn (2010) and Hoorn et al. (2017), and for the Orinoco basin by Jaramillo et al. (2017). Caribbeandraining Andean foreland basins in orange; Atlantic-draining basins contributing to transcontinental Amazon in yellow. Areas estimated using ImageJ (Abràmoff et al., 2004). Curves smoothed using a third-order Bezier Spline.
Figs 45–52 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 45–52. Third instar larva of Oxyporus (P.) melanocephalus Kirschenblatt, 1938, head morphology. 45 – head, dorsal view; 46 – head, ventral view; 47 – antenna, dorsal view; 48 – mandible, dorsal view; 49 – maxilla, dorsal view; 50 – labium, dorsal view; 51 – labium, lateral view; 52 – maxilla, ventral view.
Figs 39–44 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 39–44. Scanning electron micrographs of larva of Oxyporus procerus Kraatz, 1879. 39 – campaniform sensilla and setae of nasale; 40 – posterior epicranial group of sensilla; 41 – antennomeres II and III, apical sensorial complex; 42 – premental group of sensilla; 43 – campaniform sensillum, segment II of maxillary palpus; 44 – thoracic tergite I, lateral view.
Figs 63–66 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 63–66. Habitat and rearing of Far East Oxyporus species. 63 – aspen-maple forest with lime-trees in a lowland of the Arboretum of the Gornotaezhnaya Station, locality of Oxyporus (P.) melanocephalus. 64 – oak forest on a hill of the Arboretum of the Gornotaezhnaya Station, locality of Oxyporus maxillosus. 65 – rearing box with the sand layer, the leaf litter and a fruit body of Laetiporus sulphureus. 66 – an egg of Oxyporus (Pseudoxyporus) melanocephalus Kirschenblatt, 1938 nested between the gills of Pholiota sp.
Figs 35–36 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 35–36. Third instar larva of Oxyporus procerus Kraatz, 1879, selected body tergites. 35 – thoracic tergites I–III; 36 – abdominal tergite I.
Figs 19–27 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 19–27. Scanning electron micrographs of larva of Oxyporus maxillosus Fabricius, 1775. 19 – cervical intersegmental membrane with microsetae M2, M3; 20 – M1 microseta, magnified; 21 – M3 microseta, magnified; 22 – posterior epicranial group of sensilla; 23 – posterior epicranial campaniform sensillum; 24 – ventral sensilla, head capsule; 25, 26 – campaniform sensilla missing between mesonotal setae; 27 – epipharynx with median furrow, hypopharynx with microtrichia.
Figs 15–18 in Immature stages and biology of the enigmatic oxyporine rove beetles, with new data on Oxyporus larvae from the Russian Far East (Coleoptera: Staphylinidae)
Figs 15–18. Third instar larva of Oxyporus maxillosus Fabricius, 1775, selected body tergites. 15 – thoracic tergites I–III; 16 – abdominal tergite I; 17 – apex of abdomen, dorsal view; 18 – mesothoracic leg, posterior view.
Figure 2 in Economically Beneficial Ground Beetles. The specialized predators Pheropsophus aequinoctialis (L.) and Stenaptinus jessoensis (Morawitz): Their laboratory behavior and descriptions of immature stages (Coleoptera: Carabidae: Brachininae)
Figure 2. Frequency of numbers of eggs laid daily by S. jessoensis females in February 1987 (Σ observations = 145 excluding records of zero).
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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.