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3,472 results for “Balance”
Caucasus glacier mass balance and thickness changes in 2000-2019
<p>In this study, we used glacier mass balance and thickness data obtained from geodetic method by Hugonnet et al. (2021) to clarify the response of region wide glacier mass balance to climate change in the Greater Caucasus over the last two decades (2000‒2019). We also analyze the long-term spatio-temporal glacier surface elevation and specific mass change for the regional, river basin, and individual glaciers. Besides, we provide a key dataset (shp file) that can be useful for further studies, including for example, hydrological modeling of runoff changes, as well as for the implementation of water management plans in this region.</p>
Supplementary material 3 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Setting the context at local level
Supplementary material 1 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Tutorial
Supplementary material 4 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Greenness and changes in vegetation cover in not densely built areas
Supplementary material 2 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Setting the context at European Level
Tipping the balance: the role of seed density, abiotic filters, and priority effects in seed-based wetland restoration
<p class="MsoNormal"><a name="_Hlk98319335"></a>Sowing native seeds is a common approach to reintroduce native plants to degraded systems. However, this method is often overlooked in wetland restoration despite the immense global loss of diverse native wetland vegetation. Developing guiding principles for seed-based wetland restoration is critical to maximize native plant recovery, particularly in previously invaded wetlands. Doing so requires a comprehensive understanding of how restoration manipulations, and their interactions, influence wetland plant community assembly. With a focus on the invader <em>Phragmites australis, </em>we established a series of mesocosm experiments to assess how native sowing density, invader propagule pressure, abiotic filters (water and nutrients), and native sowing timing (i.e., priority effects) interact to influence plant community cover and biomass in wetland habitats. Increasing the density of native seeds yielded higher native cover and biomass, but <em>P. australis</em> suppression with increasing sowing densities was minimal. Rather, community outcomes were largely driven by invader propagule pressure—<em>Phragmites australis</em> densities of <span><span>≤ 500 seeds/m<sup>2</sup> maintained high native cover and biomass. Low-water conditions increased the susceptibility of <em>P. australis</em> to native competition. </span>Early sowing of native seeds showed a large and significant benefit to native cover and biomass, regardless of native sowing density, suggesting that priority effects can be an effective restoration manipulation to enhance native plant establishment.<em> </em></span><span><span>Given the urgent wetland restoration need combined with the limited studies on seed-based wetland restoration, these findings provide guidance on restoration manipulations that are grounded in ecological theory to improve seed-based wetland restoration outcomes.</span></span></p>
Data for WarpX milestone ECP-ADSE06.FY21.2: Assessment of dynamic load-balancing strategies on available exascale systems.
<p>This dataset includes the inputs, outputs, job submission scripts, and data analysis scripts used to prepare the WarpX milestone report for "Assessment of dynamic load-balancing strategies on available exascale systems." The code versions of WarpX, AMReX, and PICSAR used are stored in the outputs file for each run. </p>
Data used in the paper 'Climate change impact on fresh water balance of quasi-closed lagoons on the North-Western Black Sea coast' by Tuchkovenko et al.
<p>Find description within each file.</p>
Long-term balancing selection for pathogen resistance maintains trans-species polymorphisms in a planktonic crustacean
<p>Data related to the manuscript "Long-term balancing selection for pathogen resistance maintains trans-species polymorphisms in a planktonic crustacean"</p>
Mass Balance and Velocity Data for Greenland Ice Sheet at High Elevations
<p>This is an estimation of mass balance of the Greenland Ice Sheet at higher elevations, computed as the difference between the estimated annual total snow accumulation and ice discharge. Measurements are taken at 161 stations located 30 km apart, at 2000 m elevation that circumnavigates Greenland. Ice velocities are determined from GPS data, and ice thickness from ice-penetrating radar. Results are presented for single gates between adjacent stations, and gate combinations representing larger areas.</p> <p><strong>Interactive Map</strong><br><a href="http://rsl.geology.buffalo.edu/data/Pages/Greenland_MB_AllGates.html" target="_blank" rel="nofollow noreferrer noopener noreferrer noopener noreferrer">http://rsl.geology.buffalo.edu/data/Pages/Greenland_MB_AllGates.html</a></p> <p><strong>NSIDC page</strong><br><a href="https://nsidc.org/data/NSIDC-0618" target="_blank" rel="nofollow noreferrer noopener noreferrer noopener noreferrer">https://nsidc.org/data/NSIDC-0618</a></p> <p><strong>References</strong></p> <ul> <li>Thomas, R., T. Akins, B. Csatho, M. Fahnestock, P. Gogineni, C. Kim, and J. Sonntag. 2000. Mass balance of the Greenland Ice Sheet at high elevations. Science 289: 426-427.</li> <li>Thomas, R., B. Csatho, C. Davis, C. Kim, W. Krabill, S. Manizade, J. McConnell and J. Sonntag. 2001. Mass balance of higher-elevation parts of the Greenland Ice Sheet. Journal of Geophysical Research - Atmosphere 106 (D24) (December): 33707-33716.</li> <li>Thomas, R., B. Csatho, S. Gogineni, K. Jezek, and K. Kuivinen. 1998. Thickening of the western part of the Greenland Ice Sheet. Journal of Glaciology 44: 653-658.</li> </ul>
Supplementary materials: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al.
<div>Data Supplement to "Where and when the mesopelagic carbon budget balances, if at all"</div> <div>Sophy Oliver(1), Andrew Yool(1), Stephanie A. Henson(1), Adrian P. Martin(1)</div> <div>1 National Oceanography Centre, Southampton SO14 3ZH, UK</div> <div>Corresponding author: Sophy Oliver, sophy.oliver@noc.ac.uk</div> <div> </div> <div>This data supplement contains results using the MOPS biogeochemical model (Kriest et al. 2015).</div> <div> </div> <div>-> Model_ep_npp_MLD (MATLAB files required to create Figure S1 and S10)</div> <div>-> NPP.mat: MOPS annually-averaged net primary production [mmol P / m3 / d]</div> <div>-> EP.mat: MOPS annually-averaged export production [mmol P / m3 / d]</div> <div>-> MLDinterp.mat: annual maximum of monthly-averaged mixed layer depth [m] in ECCO: 1992-2001 mean (Fukumori et al. 2023). The mixed layer depth is determined by the depth where waters are first 0.8°C colder than the near-surface, as per the Kara Formula (Kara, Rochford, and Hurlburt 2000).</div> <div>-> DOPAVG.mat: MOPS monthly-averaged dissolved organic phosphate (DOP) [mmol P / m3]</div> <div> </div> <div>-> Model_Budget_Components (MATLAB files required to create Figures 1 and S2-9)</div> <div>-> Flux.mat: Monthly-averaged particulate flux sinking into the top of each depth level [mmol P / m2 / d]. Note that depth level 1 corresponds to flux to the sea floor (burial).</div> <div>-> Drem.mat: Monthly-averaged remineralisation and denitrification of particulate matter [mmol P / m3 / d]</div> <div>-> DOPnew.mat: Monthly-averaged creation of dissolved organic phosphate by dying plankton [mmol P / m3 / d] </div> <div>-> DOPrem.mat: Monthly-averaged remineralisation and denitrification of dissolved organic phosphate [mmol P / m3 / d]</div> <div>-> det_vt.mat: Monthly-averaged change in particulate organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div>-> det_ht.mat: Monthly-averaged change in particulate organic phosphate after horizontal transport is applied [mmol P / m3 / d]</div> <div>-> dop_vt.mat: Monthly-averaged change in dissolved organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div>-> dop_ht.mat: Monthly-averaged change in dissolved organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div> </div> <div>-> Code_Analysis_Plotting</div> <div>-> plot_npp.m: MATLAB script to plot Figure S1 of the supplementary figures of MOPS net primary and export production, and ECCO mixed layer depth.</div> <div>-> meso_monthly_budget.m: MATLAB script to calculate and plot the global seasonal mesopelagic organic carbon budget and its components (Figures 1 and S2-9 and S11).</div> <div>-> plot_doc.m: MATLAB script to plot Figure S10 of the supplementary figures of MOPS annually averaged DOC [µmol C kg-1] at 15m, 310m, and 610m depth.</div> <div>-> bluewhitered.mat: MATLAB colorscale.</div> <div> </div> <div>Model grid information for MITgcm_ECCO can be found here: http://kelvin.earth.ox.ac.uk/spk/Research/TMM/TransportMatrixConfigs/ (Samar Khatiwala, University of Oxford).</div> <div> </div>
Balanced Multi-lingual dataset
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Sketchnote: clever & gesund - Study-Life-Balance digital
<p>Tipps für eine gute Study-Life-Balance während des digitalen Studieneinstiegs. Entwickelt für die Studieneinstiegsphase der TU Clausthal.</p>
Figure 3 in Equity and career-life balance in marine mammal science?
Figure 3. Survey responses from women (yellow) and men (green) in the Society of Marine Mammalogy (including students) showing reactions to the listed statements (from 1 = strongly disagree to 5 = strongly agree). Box plots are shown for median (heaviest color shading and stronger line) and interquartile range with whiskers for minimum and maximum values.
Figure 5 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 5. Distribution of microplankton HPI in the surface waters of the Crimean coastal waters and deep-water northern part of the Black Sea at April 2017.
Figure 2 in Comparison of microplankton heterotrophic-photoautotrophic balance based on the content of ATP and chlorophyll a in the plankton of the northern area of the Black Sea during the autumn and spring seasons
Figure 2. Distribution of microplankton chlorophyll a and ATP concentrations in the Crimean coastal waters and deepwater northern part of the Black Sea at April 2017.
HOLISTIC EDUCATION: BALANCING MIND, BODY, AND SPIRIT
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HOLISTIC EDUCATION: BALANCING MIND, BODY, AND SPIRIT
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The Double-Edged Sword of the Digital World: Exploring How University Students Find Balance and Fall into Addiction in Social Media Applications, Skills, and Support
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Dataset article "Ecological status and type of alteration determine the C-balance and climate change mitigation capacity of Mediterranean inland brackish and saline shallow lakes"
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