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Рис. 3. ПроΑоΛжитеΛьность фаз активности и покоя ♂ гренΛанΑского Λемминга в периоΑ набΛюΑений 1–7.07 и 4–5.08.1987 г., о. ВрангеΛя Fig. 3. Duration of rest-activity phases of the Greenland lemming ♂ during the observation period, 1–7 July and 4–5 August, 1987, Wrangel Island in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Рис. 3. ПроΑоΛжитеΛьность фаз активности и покоя ♂ гренΛанΑского Λемминга в периоΑ набΛюΑений 1–7.07 и 4–5.08.1987 г., о. ВрангеΛя Fig. 3. Duration of rest-activity phases of the Greenland lemming ♂ during the observation period, 1–7 July and 4–5 August, 1987, Wrangel Island

Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Рис. 9. Δинамика увеΛичения участка обитания моΛоΑых особей гренΛанΑского Λемминга оΑного помета (участок обозначен по крайним точкам уΑаΛения от основной норы): 1 — 13 июΛя (первый выхоΑ из норы); 2 — 16 июΛя; 3 — 21–22 июΛя; 4 — 25 июΛя; 5 — 31 июΛя; 6 — 4 августа. ОстаΛьные обозначения как на рис. 2 Fig. 9. Dynamics of an increase in the habitat area of young Greenland lemmings from the same litter (the site is marked by the extreme points of distance from the main burrow): 1 — 13 July (the first exit from the burrow); 2 — 16 July; 3 — 21–22 July; 4 — 25 July; 5 — 31 July; 6 — 4 August. For other designations see Fig. 2

Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987

Fig. 8 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Fig. 8. The dynamics of the average length of the run, the maximum distance from the burrow during the activity phase and an increase in the area of habitat of the young Greenland lemmings during the first 23 days after leaving the burrow

Рис. 5. ПроΑоΛжитеΛьность фаз активности и покоя ♀ гренΛанΑского Λемминга в периоΑ набΛюΑения 12.07 и 13.07 1987 г., о. ВрангеΛя Fig. 5. Duration of rest-activity phases of the Greenland lemming ♀ during the observation period, 12–13 July, 1987, Wrangel Island in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Рис. 5. ПроΑоΛжитеΛьность фаз активности и покоя ♀ гренΛанΑского Λемминга в периоΑ набΛюΑения 12.07 и 13.07 1987 г., о. ВрангеΛя Fig. 5. Duration of rest-activity phases of the Greenland lemming ♀ during the observation period, 12–13 July, 1987, Wrangel Island

Fig. 4 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island

Fig. 4. Trajectories of ♂ movement during the observation period: a) 7 July from 00:57 to 06:40 (5 hours 43 minutes); b) 5 August from 21:00 to 22:53 (1 hour 53 minutes). The trajectories of movement are indicated by a solid black line. For other designations see Fig. 2

opencc-by-4.0Jun 2016View details →

BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction

In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the  and  bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector p used for the demonstration in this paper is composed, for each sample I, 1

opencc-by-4.0Jun 2016View details →

BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 3. Hybrid EMD-BP approach for one trail feature extraction

In this work, we propose a direct nonlinear approach to extract the more relevant IMFs corresponding to the different frequency components in the  and  bands and then obtain the BP in order to use them as features for mental task classification (see Fig. 3). The feature vector pi used for the demonstration in this paper is composed, for each sample I, 1

opencc-by-4.0Mar 2018View details →

Repository of WESC2017 paper data - Benefits of subcomponent testing over full- scale blade testing elaborated on a trailing-edge bond line design

Title: <a href="https://doi.org/10.5194/wes-3-1-2018">Benefits of subcomponent over full-scale blade testing elaborated on a trailing-edge bond line design validation</a> Authors: <a href="mailto:malo.rosemeier@iwes.fraunhofer.de">Malo Rosemeier</a>, Gregor Basters, and Alexandros Antoniou Affiliation: Division Structural Components, Fraunhofer IWES, Fraunhofer Institute for Wind Energy Systems, Am Seedeich 45, 27572 Bremerhaven, Germany The following data used for the study is provided: <ul> <li> data_blade.zip contains input data for fusedwind-dev (https://github.com/FUSED-Wind/fusedwind-dev) of the DTU10MW blade.</li> <li>data_becas.zip contains input/ output data obtained for/ from BECAS with BECASWrapper (https://gitlab.windenergy.dtu.dk/HAWTOpt2/BECASWrapper).</li> <li>data_rfoil.zip contains polars obtained from Rfoil.</li> <li>data_feproc.zip contains the ANSYS APDL models obtained with FEPROCWrapper (https://gitlab.iwes.fraunhofer.de/git/bdt/FEPROCWrapper).</li> <li>*.sqlite data bases contain all results data which can be accessed with the `post.py` script.</li> <li>result_plots.zip contain the results generated by the `post.py` script.</li> </ul> For further details see the manuscript.

opencc-by-4.0Nov 2015View details →

Fig. 3 in Dynamics of the restoration of physical trails in the grass-cutting ant Atta capiguara (Hymenoptera, Formicidae)

Fig. 3. Restoration of the physical trails of nest 2. First and last day of survey of trail 1 (A and B, respectively), 2 (C and D, respectively) and 3 (E and F, respectively). The lines B, D, F show the location where the trail was restored.

opencc-by-4.0Nov 2015View details →

Fig. 1 in Dynamics of the restoration of physical trails in the grass-cutting ant Atta capiguara (Hymenoptera, Formicidae)

Fig. 1. Percentage variation in the mean length of grass blades for the experimental block (continuous lines) and control block (dashed lines) of each manipulated trail of Nest 1 (A) and 2 (B). The lines of same thickness correspond to the same trail.

opencc-by-4.0Nov 2015View details →

Fig. 2 in Dynamics of the restoration of physical trails in the grass-cutting ant Atta capiguara (Hymenoptera, Formicidae)

Fig. 2. Restoration of the physical trails of nest 1. First and last day of survey of trail 1 (A and B, respectively), 2 (C and D, respectively) and 3 (E and F, respectively). The lines on B, D, F show the location where the trail was restored.

Figure 5 in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 5. Inter-specific comparison of the movement speeds for ants of the same species on the same substrate type in different months. A) Formica rufa, ground surface; B) Formica rufa, log; C) Formica polyctena, ground surface; and D) Formica polyctena, log.

Figure 1 in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 1. Scheme of the highway construction using logs and bark for the 3 ant species colonies. A) Formica rufa, B) Formica polyctena, and C) Lasius fuliginosus.

Figure 4 in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 4. Interspecific comparison of the movement speeds for ants of the same species on different substrate types. A) Formica rufa, B) Formica polyctena, C) Lasius fuliginosus in August 2022, and D) Lasius fuliginosus in September 2022.

Figure 3 in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 3. Intraspecific comparison of the movement speeds for ants on the same substrate type between all months of the study. A) ground surface, B) logs, and C) bark. Fr: Formica rufa, Fp: Formica polyctena, and Lf: Lasius fuliginosus.

Figure 6 in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 6. Food test results for the interspecific comparison of red wood ants on different substrate types. A)Formica rufa and B) Formica polyctena.

Figure 2. Red wood ant highways. A in Comparison of the movement speed of three ant (Hymenoptera: Formicidae) species along trails

Figure 2. Red wood ant highways. A) Formica rufa workers on a log and B) lined highway from the mound to the forage tree.

opencc-by-4.0Apr 2019View details →

Fig. 5 in Effect of soil treatments for cottony cushion scale (Hemiptera: Monophlebidae) control on Nylanderia fulva (Hymenoptera: Formidicae) survival and trailing activity

Fig. 5. Correlations between the mean numbers of I. purchasi and N. fulva in pots treated with (A) CoreTect® (r = 0.88; n = 8), (B) Merit® 2F (r = 0.88; n = 8), and (C) control (untreated) (r = 0.60; n = 8).