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2,651 results for “, Habits”
Fig. 1. Life habit. A in Two new species of Eidmanacris (Orthoptera: Grylloidea: Phalangopsidae) from the Atlantic forest of São Paulo State, Brazil
Fig. 1. Life habit. A- Eidmanacris suassunai sp. nov.; B- Eidmanacris caipira sp. nov.
Fig. 14 in Biology of the Bee Canephorula apiformis and Its Cleptoparasite Melectoides bellus: Nesting Habits, Floral Preferences, and Mature Larvae (Hymenoptera, Apidae)
Fig. 14. Top of cocoon of M. bellus, external view, showing fecal material in situ.
Fig. 4 in Biology of the Bee Canephorula apiformis and Its Cleptoparasite Melectoides bellus: Nesting Habits, Floral Preferences, and Mature Larvae (Hymenoptera, Apidae)
Fig. 4. Landscape at Pismanta (Iglesia), San Juan Province, Argentina.
Fig. 3 in Biology and food habits of the invasive snail Allopeas gracile (Gastropoda: Subulinidae)
Fig. 3. Allopeas gracile feeding on ripe strawberry fruit. Photo by L. Buss, University of Florida.
2020 IMPACTS HVPS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the vertical channel of the High Volume Precipitation Spectrometer (HVPS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in V_1.nc are individual particle files, while files ending in V.HVPS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div> <div> </div>
2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div>
Emotions of Social Eating for People with Selective Eating Habits (ESE1)
<p><strong><em>Emotions of Social Eating for </em></strong><strong><em>People with Selective Eating Habits (ESE1) data set</em></strong></p> <p> </p>
Dataset of "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution"
<p>This dataset contains results to create figures in the paper "Inner Edge of Habitable Zone for Earth-sized Planets with Various Surface Water Distribution" by T. Kodama et al.</p> <p>It contains that temperature, ground temperature, ground specific water, evaporation efficiency, cloud fraction, latent heat flux, top radiative flux (long and short), precipitable water, cloud water ratio from our GCM calculations. We used Gtool3-dcl5 which is developed by the GFD-DENNOU Club for analysis (<a href="https://www.gfd-dennou.org/">https://www.gfd-dennou.org</a>). For more </p>
Figure 4 in Feeding habits and diet overlap of juveniles of 2 sparids, Diplodus puntazzo (Walbaum, 1792) and Diplodus vulgaris (Geoffroy Saint-Hilaire, 1817), from the North Aegean Sea of Turkey
Figure 4. Seasonal feeding habits of juvenile D. puntazzo (IRI: index of relative importance).
Figure 1 in Feeding habits and diet overlap of juveniles of 2 sparids, Diplodus puntazzo (Walbaum, 1792) and Diplodus vulgaris (Geoffroy Saint-Hilaire, 1817), from the North Aegean Sea of Turkey
Figure 1. Sampling stations (1: Abide, 2: Güzelyalı, 3: Kerevizdere).
life cycle habit: life cycle habit
<p>data coverage snapshot, life cycle habit</p>
X-ray Emission of Nearby Low-mass and Sun-like Stars with Directly Imageable Habitable Zones: X-ray Spectra and Light Curves
<p>This repository contains the X-ray light curves extracted from the XMM-Newton and Chandra observations and the best-fit X-ray spectral models (with and without emission lines) from all stars detected at high significance in Binder et al. (2024), ApJS, ..., ...</p> <p>Description of Files:</p> <h3>LightCurves.zip</h3> <p>Summary: Light curve files (327) for all stars detected at high significance; in FITS (BinTableHDU) format with 7-14 extensions. The following types of data are included:</p> <ul> <li>"*_source.lc" : EPIC/PN source light curves of stars detected with more than ~500 net counts in an XMM-Newton observation</li> <li>"*_bkg.lc" : EPIC/PN background light curves of stars detected with more than ~500 net counts in an XMM-Newton observation</li> <li>"*_sub_lc.fits" : Background-subtracted light curves of stars detected with more than ~50 net counts in a Chandra observation</li> </ul> <h3>Spectra.zip</h3> <p>Summary: Spectra (152) for all stars detected at high significance (with >500 net counts in Chandra observations and >2000 net counts in XMM-Newton observations) in ASCII (ECSV format). We provide both the continuum spectra and spectra containing line emission. For stars that exhibit X-ray count rate variability, we provide spectra for specific variability types (see Binder et al. 2024 for details). The following types of data are included:</p> <ul> <li>"*_continuum.dat" : Continuum-only best-fit spectra</li> <li>"*_lines.dat" : Best-fit spectra containing line emission</li> </ul>
Figure 1 in Food habits of indian crested porcupine (Hystrix indica) (Kerr 1792), in district Bagh, Azad Jammu and Kashmir
Figure 1. Location map of study area showing different study sites during study period.
Hydraulic prediction of drought-induced plant dieback and top-kill depends on leaf habit and growth form
<p>Hydraulic failure caused by severe drought contributes to aboveground dieback and whole-plant death. The extent to which dieback or whole-plant death can be predicted by plant hydraulic traits has rarely been tested among species with different leaf habits and/or growth forms. We investigated 19 hydraulic traits in 40 woody species in a tropical savanna and their potential correlations with drought response during an extreme drought event during the El Niño–Southern Oscillation in 2015. Plant hydraulic trait variation was partitioned substantially by leaf habit but not growth form along a trade-off axis between traits that support drought tolerance versus avoidance. Semi-deciduous species and shrubs had the highest branch dieback and top-kill (complete aboveground death) among the leaf habits or growth forms. Dieback and top-kill were well explained by combining hydraulic traits with leaf habit and growth form, suggesting integrating life history traits with hydraulic traits will yield better predictions.</p>
Experimental EBSD data for 035C and 07C lean steel for habit plane determination
<p>Experimental data for demonstrating the habit plane determination algorithms described in:</p> <p>https://arxiv.org/abs/2303.07750</p> <p>The linked resource contains a full description of how the data was obtained and processed, as well as the interpretation of the results.</p>
Data for "Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory"
<p>Data for the paper on "Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory"</p>
Constraint-induced Movement Therapy (CIMT) and Bimanual Training (HABIT) in Children With Hemiplegic Cerebral Palsy
ClinicalTrials.gov study NCT00305006. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
An Open Trial of a Novel Pharmacotherapy for Habit Modification in Anorexia Nervosa
ClinicalTrials.gov study NCT06518941. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Prevention of Eating Habits Associated With Obesity
ClinicalTrials.gov study NCT05865444. IPD Sharing: YES. Countries: 1. Publications: 6.
Changes in Taste and Eating Habits Associated With GLP-1 Agonists in Weight Loss Patients
ClinicalTrials.gov study NCT07229170. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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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.