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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>
WAYS TO IMPROVE SOURCES OF COVERING THE STATE BUDGET DEFICIT IN THE REPUBLIC OF TAJIKISTAN
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Fig. 3 in New insight in the determination of thermodynamic equilibrium thickness using heat budget over Barents Sea
Fig. 3 — Spatial plots of net surface heat flux for (a) January, (b) April, (c) July, and (d) October over Barents Sea for the span of 2002 – 2020
Рис. 6. Суточный бюΑжет времени основных виΑов ΑеятеΛьности поΑземной поΛевки (на примере активности ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 6. Daily time budget of the main activities of the common pine vole. (on the example of the activity of ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology) in Spatial Organization Of Common Pine Vole (Microtus Subterraneus Selys-Longchamps, 1836) Colonies
Рис. 6. Суточный бюΑжет времени основных виΑов ΑеятеΛьности поΑземной поΛевки (на примере активности ♂ № 4; июΛь 2000 г., манеж БиНИИ) Fig. 6. Daily time budget of the main activities of the common pine vole. (on the example of the activity of ♂ No. 4; July 2000, measured in a pen at the Scientific Research Institute of Biology)
Data and code supplementing article "Impact of estuarine exchange flow on multiple tracer budgets in the Salish Sea" submitted to the Journal of Geophysical Research: Oceans
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Figures 2-7 from: Back JP, Suzin A, Aguiar LM (2019) Activity Budget and Social Behavior of Urban Capuchin Monkeys (Sapajus sp.) (Primates, Cebidae). Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e30845
Figures 2-7 Social webs expressing interactions (in percentage of the total observation records) for each sex-age dyad of urban capuchin monkeys in each social behavior: (2) social play, n = 1,476 events; (3) grooming, n = 547; (4) threat, n = 241; (5) aggression, n = 31; (6) allocarrying, n = 193; (7) food sharing, n = 39. Percentages of emissions and receptions are in decreasing order in all columns, except for social play. Line thickness is proportional to the percentages of interactions of each dyad. (AF) adult females, (JUV) juveniles, (AM) adult male, (SUB) subadults, (INF) infants.
Figure 1 from: Back JP, Suzin A, Aguiar LM (2019) Activity Budget and Social Behavior of Urban Capuchin Monkeys (Sapajus sp.) (Primates, Cebidae). Zoologia 36: 1-10. https://doi.org/10.3897/zoologia.36.e30845
Figure 1 Proportions of records (in percentage) of behavioral categories in the activity budget of sex-age classes of urban capuchin monkeys. Boxes represent the interquartile ranges; horizontal lines within the boxes represent the medians; whiskers indicate minimum and maximum values; circles indicate the proportions of records per hour of observation. Different letters indicate significant differences between sex-age classes. Kruskal-Wallis followed by Dunn's test; p ≤ 0.05. (AF) adult females, (AM) adult male, (SUB) subadults, (JUV) juveniles.
Figure 3 in Diurnal time-activity budget and foraging techniques of red-crested pochards (Netta rufina) wintering at the wetlands of West Bengal, India
Figure 3. Month-wise and time-wise proportional time budget of the RCPs. Values are given in percentages of the time spent in the diurnal activities (mean value ± SD; n = 32; 96-h observation).
Figure 7 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 7 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 77 pictures, aligned and combined with PMax B Stack of 44 pictures, aligned and combined with PMax The individual pictures of both stacks are made with the Leica Z6 APO with DFC290 and Manfrotto led light system.
Figure 9 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 9 - A 3D model of a Dicranorrhina sp. beetle. The left pictures (A, C) represent the 3D model with its texture, while the right pictures (B, D) are from the model with the mesh only and show the level of detail of the 3D model made in Agisoft Photoscan.
Figure 8 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 8 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 74 pictures, aligned and combined with PMax B Stack of 41 pictures, aligned and combined with PMax. The individual pictures of both stacks are made with the Canon-Cognisys set-up and double flash lights.
Figure 5 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 5 - The results of the different stacking methods in Zerene Stacker, each with a detail of a hairy leg and a part of the head with hairs. A, B details of the stack pictures by the PMax method C, D details of the stacked picture with the DMap method.
Figure 4 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 4 - The results of the different stacking methods in Helicon Focus: each stacking option is provided with a detail of a hairy leg and a part of the head with hairs. A, B result of Method A (average) C, D result of Method B (depth) E, F result of Method C (pyramid).
Figure 6 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 6 - Focus stacking in Zerene Stacker. The small image in the upper corner provides a detailed close-up of 518 × 345 pix of the image at 100%. A Stack of 70 pictures, aligned and combined with PMax B Stack of 41 pictures, aligned and combined with PMax. The individual pictures of both stacks are made with the Leica MZ16A with DFC500 camera and Leica KL 1500 LCD lights.
Figure 3 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 3 - The results of the different stacking methods in CombineZP: each stacking option is provided with a detail of a hairy leg and a part of the head with hairs. A, B details of the stack pictures by the Do Stack method C, D details of the stacked picture with the Do Soft Stack E, F details of the Do Weighted Stack method G, H details of the combined pictured with the Pyramid Weighted method I, J details of the stacked image with the Pyramid Do stack method K, L Details of the Stacked image with the Pyramoid Maximum Contrast method.
Figure 1 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 1 - The Canon-Cognisys set-up at the RBINS. The Canon 600D Camera, equipped with a Canon MP-E 65 mm 1:2.8 1–5× Macro Photo Lens, is mounted on the vertically positioned StackShot (Cognisys inc.). In the Ikea closet, at the bottom, you see the two Yongnuo YN560II speedlites positioned frontally and above is the plexiglas fig covered with paper to position the specimen.
Figure 2 from: Brecko J, Mathys A, Dekoninck W, Leponce M, VandenSpiegel D, Semal P (2014) Focus stacking: Comparing commercial top-end set-ups with a semi-automatic low budget approach. A possible solution for mass digitization of type specimens. ZooKeys 464: 1-23. https://doi.org/10.3897/zookeys.464.8615
Figure 2 - The results of the different stacking methods in Auto-Montage: each stacking option is provided with a single picture which is reduced in size by the Auto-Montage software itself and imprinted with watermarks. A represents the Blended Stacking option B picture composed by the Compound Weighted method C picture stacked by the Exponentially Weighted option D picture composed by the Fixed method and E picture stacked by the Weighted method.
Comparison of Low-budget Black-box Optimization Algorithms on BBOB
<p>Data to replicate the results presented in the paper "Low-budget Black-box Optimization Algorithms in BBOB and OpenAI Gym", submitted to IEEE Transactions on Evolutionary Computation. Here, we offer the data comparing Black-Box Optimization tools for machine learning with more classical heuristics on the well-known BBOB benchmark suite from the COCO environment (24 noiseless functions with different landscape characteristics: uni/multi-modality, separability, good/weak global structure, etc.)</p>
Lean mass dynamics in hibernating bats and implications for energy and water budgets
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Data from: Fruiting strategies of perennial plants: a resource budget model to couple mast seeding to pollination efficiency and resource allocation strategies
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