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210 results for “field observations”

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zenodo40/100

Fig. 4 in Intertidal life: field observations on the clingfish Gobiesox barbatulus in southeastern Brazil

Fig. 4. Percent composition of food items found in stomachs of 11 Gobiesox barbatulus individuals: (a) broad taxonomic categories; (b) only crustaceans and unidentified organic material.

opencc-by-4.0Feb 2011View details →
zenodo40/100

Fig. 3 in Intertidal life: field observations on the clingfish Gobiesox barbatulus in southeastern Brazil

Fig. 3. Standard movements performed by Gobiesox barbatulus before leaving the "shelter-stone": (a) sequence 1-8 illustrates a round over the "shelter-stone"; (b) body rotation under the "shelter-stone".

opencc-by-4.0Feb 2011View details →
zenodo40/100

Fig. 2 in Intertidal life: field observations on the clingfish Gobiesox barbatulus in southeastern Brazil

Fig. 2. Microhabitat use by Gobiesox barbatulus in the Baleeiro Isthmus (n = 51) vs. Saco Grande (n = 13). Size in cm.

opencc-by-4.0Feb 2011View details →
zenodo40/100

Fig. 6. Courtship movements recorded for a in Intertidal life: field observations on the clingfish Gobiesox barbatulus in southeastern Brazil

Fig. 6. Courtship movements recorded for a pair of Gobiesox barbatulus in the wild. Each cycle did not exceed 30 min of duration, and always started with one of the three "pre-mating" positions [i.e., (a, e, and h)]. After mating the pair did not stay in contact (b or f), and the larger individual performed parental behavior (b). They restarted the cycle after moving to a spot without eggs, following new approximation (c, d, and g). It is important to note that there are many sequences possible based in such events, since they can alternate.

opencc-by-4.0Feb 2011View details →
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Fig. 1 in Intertidal life: field observations on the clingfish Gobiesox barbatulus in southeastern Brazil

Fig. 1. Map indicating the location of the study area (São Sebastião Channel) on the coast of São Paulo, southeastern Brazil, and the scanned regions into the marine protected area of CEBIMar-USP (the marine station of the University of São Paulo): (a) pebbles field at the Baleeiro Isthmus; (b) pebbles, cobblestones and boulder field of Saco Grande; (c, d) examples of other scanned regions at the continental margin of the São Sebastião Channel with pebbles and/or tide pools. The big black arrow shows a detail of the Gobiesox barbatulus habitat at the intertidal zone.

opencc-by-4.0Feb 2011View details →
zenodo40/100

Figs 7, 8 in Field observations on Milichia patrizii ant-mugging flies (Diptera: Milichiidae: Milichiinae) in KwaZulu-Natal, South Africa

Figs 7, 8. (7) Food exchange ends when the fly retracts its mouthparts. The ant briefly sits motionless following the interaction; (8) Trophallaxis food-sharing behaviour between two Crematogaster castanea tricolor nestmates.

opencc-by-4.0Jun 2009View details →
zenodo40/100

Figs 5, 6 in Field observations on Milichia patrizii ant-mugging flies (Diptera: Milichiidae: Milichiinae) in KwaZulu-Natal, South Africa

Figs 5, 6. Food exchange between Milichia patrizii and Crematogaster castanea tricolor: (5) General view; (6) An enlargement showing details of the food exchange interaction. The ant's antenna is enfolded by the pilose clypeal membrane of the fly's proboscis. The long hairs on the fly's proboscis likely serve to capture liquids from the mouth of the ant.

opencc-by-4.0Jun 2009View details →
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Figs 1, 2 in Field observations on Milichia patrizii ant-mugging flies (Diptera: Milichiidae: Milichiinae) in KwaZulu-Natal, South Africa

Figs 1, 2. (1) M. patrizii next to a C. castanea tricolor trail on an Acacia branch; (2) A Milichia darts into the middle of the Crematogaster trail to pursue an individual ant. This attempt was unsuccessful, as the ant was able to move past the fly without stopping.

opencc-by-4.0Jun 2009View details →
zenodo36/100

Model outputs: Vegetation biomass change in China in the 20th century: An assessment based on a combination of multi-model simulations and field observations

<p>This dataset contains six model outputs of&nbsp;vegetation biomass on plant functional type level and total vegetation biomass on grid cell with and without bias-correction in different sensitivity experiments, as described in Readme.txt.</p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

Dataset for "Galileo observation of electron spectra dawn-dusk asymmetry in the middle Jovian magnetosphere: Evidence for convection electric field"

<p>This dataset contains the numerical values used to generate the figures in the main article and supporting information.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Intermittent Lobe Reconnection under Prolonged Northward Interplanetary Magnetic Field Condition: Insights from Cusp Spot Event Observations

<p>SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.&nbsp;<br>We would like to thank British Antarctic Survey (https://www.bas.ac.uk/project/superdarn) and the University of Saskatchewanan (https://superdarn.ca) for hosting the SuperDARN data mirrors access.&nbsp;<br>The EISCAT dataset is available from the Madrigal database (http://millstonehill.haystack.mit.edu).&nbsp;<br>We acknowledge the use of DMSP/SSUSI data provided by the Johns Hopkins University Applied Physics Laboratory (https://cdaweb.gsfc.nasa.gov).&nbsp;<br>Additionally, the OMNI dataset is available from the OMNIWeb service online of NASA/GSFC's Space Physics Data Facility's (https://spdf.gsfc.nasa.gov/pub/data/omni/).</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Reprocessing of Three-Decade GNSS Observations: Millimeter-Level Global Velocity Field and Plate Motion Model Refinement

<p>The accurate and reliable Terrestrial Reference Frame (TRF) functions as a unified spatiotemporal datum crucial for solid earth research, encompassing disciplines such as geodesy and geodynamics. High-precision GNSS velocity field products stand out as pivotal foundational data for the maintenance of the TRF. This dataset encapsulates the outcomes of two GNSS velocity field refinement products: Global GNSS Velocity Model 2020 (GGVM2020) and the Global Interpolation Velocity Model 2020 (GIVM2020).&nbsp;GGVM2020 comprises velocity values and formal errors derived from over 3000 GNSS sites worldwide. And GIVM2020 incorporates speed values from approximately 2000 grid points on land globally, with a grid spacing of 3 degrees.</p>

opencc-by-4.0Dec 2023View details →
dryad36/100

Magnetic field enhancements in the interplanetary solar wind: Diverse processes manifesting a uniform observation type?

<p>Interlaced magnetic flux ropes are a subject of investigation in various space environments, including the solar corona, interplanetary solar wind, and magnetosheath. In this study, we utilize a Hall Magnetohydrodynamics (MHD) model to replicate these interactions within selected regions. By employing plasma flow to propel two flux ropes of various parameters towards each other, we examine the effect of their relative helicity on the ensuing process. Our simulations, coupled with vector analysis, found the existence of flux ropes with opposing helicity along their axes (counter-helical) in some of the resultant interactions. These findings underscore the need to identify and study counter-helical flux ropes in space. The study presented here contributes new comprehension of space plasma dynamics and new insights into the solar wind in control of space weather.</p>

opencc-zeroJan 2024View details →
zenodo36/100

Data for: A comprehensive dataset of forest above-ground biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir Himalaya

<p>The repository contains observed Above Ground Biomass (AGB) estimates at about 275 sample plots chosen for AGB assessment in the forests of Kashmir Himalaya. The AGB is assessed as a fucntion of dbh using various allometric equations developed specifically for the region. It also contains the AGB for years 1978, 1990, 2000, 2010 and 2021 predicted using topographcally augmeneted multivariate regression model. The extent of forest, delineated using on-screen digitization using Landsat and Sentinel image collection at decadal scale is also provided for the years 1978, 1990, 2000, 2010 and 2021.</p>

opencc-by-4.0Feb 2024View details →
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Simulations for convection during the intensive observation period of the TWP-ICE field campaign: results from cloud-resolving model and convective parameterization schemes

<p>Simulated convections from cloud-resolving model and convective parameterization schemes during the intensive observation period of the TWP-ICE field campaign, which are used to investigate the scale-awareness problem of convective parameterization schemes. The corresponded observations are also included in this dataset.</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Archived Model Output and Code for "Marine Boundary Layer Cloud Condensation Nuclei Bias over the Southern Ocean: Comparisons between the Community Atmosphere Model 6 and Field Observations "

<div> <p>This is an archive of CAM6 simulation output used in the paper Marine Boundary Layer Cloud Condensation Nuclei Bias over the Southern Ocean: Comparisons between the Community Atmosphere Model 6 and Field Observations, submitted to the AGU Journal. Codes used to read the nc file is also attached.</p> </div>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations

<p>The spreadsheets of monthly data used for Figure 2 in the paper &quot; <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>&quot; submitted to Geophysical Research Letters by the authors, and an explanatory text file named &quot;Readme&quot;.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1)

<p>Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1). For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 2)

<p>Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 2). For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Dataset for "Is the linear relationship between the slope and intercept observed in field emission S-K plots an artifact?"

<p>The dataset are in text format, the files to analyze and generate the figures are in jupyter format for python with a copy in pdf format.</p> <p>Description of files and folders :</p> <p><strong>I) Analyzed</strong></p> <p>This folder contains Fowler-Nordheim analysis of the I-V data in the folder Data, that where obtained in the publication "All field emission experiments are noisy, ... are any meaningful ?"</p> <p><strong>II)&nbsp;Data</strong></p> <p>This folder contains the different experimental I-V data</p> <p><strong>III) Numerical data<br></strong></p> <p>This folder contains the different noisy I-V data generated by the file "Simul"</p> <p><strong>IV) Fig1</strong></p> <p>This file generates the figure "MySK4.svg" based on the data in the folders <strong>I) Analyzed</strong> and <strong>III) Numerical data</strong></p> <p><strong>V) Fig2</strong></p> <p>This file analyses the data in the folder <strong>II) Data</strong> and then extract the parameters of their SK plot.</p> <p>It gathers the SK plot parameters of several work in the litterature.</p> <p>It plots "Slopm4.svg" and "Intm4.svg".</p> <p><strong>VI)&nbsp;Simul</strong></p> <p>This file generates the different noisy I-V data necessary fir Fig1</p> <p><strong>VII) FigSuppl</strong></p> <p>This file shows the different experimental Fowler-Nordheim plots obtained from the files in the folder <strong>II) Data</strong></p>

opencc-by-4.0Mar 2024View details →

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