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opencc-by-3.0Jul 2016View details →

Fig. 4. A–B. Jullienia munensis Brandt, 1974, probable paratopotype MZSP 95482, L in Second annotated list of type specimens of molluscs deposited in the Museu de Zoologia da Universidade de São Paulo, Brazil

Fig. 4. A–B. Jullienia munensis Brandt, 1974, probable paratopotype MZSP 95482, L = 5.9 mm, W = 5.2 mm. C–D. Jullienia rolfbrandti Temcharoen, 1971, probable paratype MZSP 95463, L = 7.3 mm, W = 6 mm. E–F. Lacunopsis conica Brandt, 1968, probable paratype MZSP 95495, L = 5.3 mm, W = 4.9 mm. G–H. Hubendickia microsculpta Brandt, 1968, probable paratype MZSP 95945, L = 4.35 mm, W = 1.71 mm. I–J. Manningiella polita Brandt, 1970, probable paratype MZSP 95475, L = 4.2 mm, W = 2 mm. K–L. Manningiella rolfbrandti Temcharoen, 1971, probable paratype MZSP 95924, L = 4.2 mm, W = 2.2 mm.

opencc-by-3.0Jul 2016View details →

Fig. 3. A–B. Hydrorissoia cambodiensis Brandt, 1970, probable paratype MZSP 95912, L in Second annotated list of type specimens of molluscs deposited in the Museu de Zoologia da Universidade de São Paulo, Brazil

Fig. 3. A–B. Hydrorissoia cambodiensis Brandt, 1970, probable paratype MZSP 95912, L = 3.9 mm, W = 2.3 mm. C–D. Hubendickia cylindrica Brandt, 1974, probable paratype MZSP 95944, L = 4.5 mm, W = 1.8 mm. E–F. Hubendickia rolfbrandti Temcharoen, 1971, probable paratype MZSP 95948, L= 4.1 mm, W = 2 mm. G–H. Paraprososthenia schuetti Brandt, 1968, probable paratype MZSP 95487, L = 6.2 mm, W = 2.1 mm. I–J. Hydrorissoia hospitalis Brandt, 1968, probable paratype MZSP 95949, L = 3.2 mm, W = 1.9 mm. K–L. Hydrorissoia munensis Brandt, 1968, probable paratype MZSP 95929, L = 2.76 mm, W = 1.74 mm.

opencc-by-3.0Jul 2016View details →

Fig. 7. A–B. Teracharopa goudi Maassen, 2000, probable paratype MZSP 95494, L in Second annotated list of type specimens of molluscs deposited in the Museu de Zoologia da Universidade de São Paulo, Brazil

Fig. 7. A–B. Teracharopa goudi Maassen, 2000, probable paratype MZSP 95494, L = 2 mm, W = 2.7 mm. C–D. Orculella astirakiensis Gittenberger & Hausdorf, 2004, paratype MZSP 95489, L = 8.3 mm, W = 4 mm. E. Eledone gaucha Haimovici, 1988, paratype MZSP 25242, approximate mantle length = 30 mm.

opencc-zeroDec 2016View details →

FIGURE 1 in The last scream: the distress call of a probably extinct Brazilian anuran (Holoaden bradei Lutz, 1958)

FIGURE 1. Spectrogram (above) and oscillogram (below) of two distress calls of Holoaden bradei. One call with ascendantdescendant modulation (A) and another with slight modulation along its duration, except for the final portion, where it is observable a strong descendant modulation (B).

opencc-by-4.0Mar 2017View details →

Data supplementing the article "Einhäuser, W., & Nuthmann, A. (2016). Salient in space, salient in time: Fixation probability predicts fixation duration during natural scene viewing. Journal of Vision, 16(11):13, 1-17, doi:10.1167/16.11.13."

These data supplement the article Einhäuser, W., & Nuthmann, A. (2016). Salient in space, salient in time: Fixation probability predicts fixation duration during natural scene viewing. Journal of Vision, 16(11):13, 1-17, doi:10.1167/16.11.13. The data can be used freely for academic purposes, provided the aforementioned reference is appropriately cited. The following files are available for experiment 2 of the article: allData.mat Includes the datamatrix allData with the following columns: 1) Line used for analysis in the article (0 - no, 1-yes). Possible reasons for exclusion: a. fixation duration smaller than 50ms or larger 1000ms b. fixation adjacent to a blink (preceding or following) c. fixation outside the image 2) ID of observer (1-24) 3) ID of condition (1:grayscale, 2: reduced luminance, 3: reduced contrast, 4: equalized luminance, 5: equalized contrast, 6: phasenoise) 4) ID of image (48 unique numbers between 1 and 135) 5) horizontal eye position 6) vertical eye position 7) fixation duration in ms 8) value of empirical map generated from search condition of experiment 1 at fixated location 9) value of empirical map generated from preference condition of experiment 1 at fixated location 10) value of empirical map generated from memorization condition of experiment 1 at fixated location 11) value of empirical map generated from joining memorization and preference condition of experiment 1 at fixated location 12) value of empirical map generated from condition 1 at fixated location 13) value of empirical map generated from condition 2 at fixated location 14) value of empirical map generated from condition 3 at fixated location 15) value of empirical map generated from condition 4 at fixated location 16) value of empirical map generated from condition 5 at fixated location 17) value of empirical map generated from condition 6 at fixated location 18) value of empirical map generated from condition 1 at fixated location leaving out the current observer 19) value of empirical map generated from condition 2 at fixated location leaving out the current observer 20) value of empirical map generated from condition 3 at fixated location leaving out the current observer 21) value of empirical map generated from condition 4 at fixated location leaving out the current observer 22) value of empirical map generated from condition 5 at fixated location leaving out the current observer 23) value of empirical map generated from condition 6 at fixated location leaving out the current observer 24) luminance at fixation 25) luminance contrast at fixation 26) edge density at fixation 27) eccentricity of fixation usedData.Rdata - for all lines that are used for analysis (allData(:,1)==1) a field in an R dataframe is created, which contains the following fields (for details, see description of matlab file above): obsNum: the ID of the observer (1-24) condNum: the ID of the condition (1-6) imgNum: the ID of the image (48 unique numbers between 1 and 135) fixDur: fixation duration LUM, LCG, ED, ECC: luminance, contrast, edge density and eccentricity at fixation empMapFromSearch, empMapFromPref, empMapFromMem, empMapFromJoint: values of empirical maps generated from data of experiment 1 (search, preference, memorization task as well as combination of the latter two) at fixation empMapFromC1 through empMapFromC6: value of empirical map generated from condition 1 through 6 at fixated location empMapFromC1loo through empMapFromC6loo - value of empirical map generated from condition 1 through 6 at fixated location leaving out the current observer x,y - coordinates of fixation modelsFigure7.R - computes all models for figure 7 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper) modelsFigure8.R - computes all models for figure 8 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper)

Figures 6–7. Aptostichus spp. 6 in Chalcochares hirsutifemur (Banks) (Hymenoptera: Pompilidae: Pompilinae), a probable obligate parasitoid of Aptostichus Simon (Araneae: Mygalomorphae: Euctenizidae) in California

Figures 6–7. Aptostichus spp. 6) Aptostichus atomarius female on sand. Sandy Coastal back dunes, Vandenberg Air Force Base, Santa Barbara County, CA; 3 June 2014; A. Abela (Abela 2014a) Photograph © Alice Abela. 7) Aptostichus simus female on sand. Sandy Coastal back dunes, Vandenberg Air Force Base, Santa Barbara County, CA; 11 June 2014; A. Abela (Abela 2014b). Photograph © Alice Abela.

Figures 3–4 in Chalcochares hirsutifemur (Banks) (Hymenoptera: Pompilidae: Pompilinae), a probable obligate parasitoid of Aptostichus Simon (Araneae: Mygalomorphae: Euctenizidae) in California

Figures 3–4. Chalcochares hirsutifemur female taking nectar from flowers of Eriogonum parvifolium (Seacliff buckwheat), Sandy coastal back dunes, Vandenberg Air Force Base, Santa Barbara County, CA; 13 August 2021; A. Abela (Abela 2021d, 2021e). 3) Note hairy head, thorax, and basal metasoma; and spinous legs, especially foretibia and foretarsus. Photograph © Alice Abela. 4) Note short antenna segments; hairy head, thorax, and femora; wide vertex with rather small eyes situated on side of head; swollen occiput behind compound eyes; enlarged and flattened pronotum with straight sides; and spinous legs, especially foretibia and foretarsus. Photograph © Alice Abela.

Figure 2 in Chalcochares hirsutifemur (Banks) (Hymenoptera: Pompilidae: Pompilinae), a probable obligate parasitoid of Aptostichus Simon (Araneae: Mygalomorphae: Euctenizidae) in California

Figure 2. Chalcochares hirsutifemur (Banks), female; Anza, Riverside County California; 24 June 195? L. A. Stange collector (det R. Snelling 1963). A. Whole body, dorsal view. B. Head, anterior view. C. Head and anterior part of mesosoma, dorsal view. D. Head, anterior part of mesosoma, and fore legs, lateral view (arrow, apicomesial spine on fore tibia). Scale bars: 5 mm (A); 1 mm (B–D).

Figure 1 in Chalcochares hirsutifemur (Banks) (Hymenoptera: Pompilidae: Pompilinae), a probable obligate parasitoid of Aptostichus Simon (Araneae: Mygalomorphae: Euctenizidae) in California

Figure 1. Chalcochares engleharti (Banks), female; Camp Bullis, Bexar County, Texas; 29 May 1952; K. Stockley collector (det. M. Wasbauer 1956). A. Head, mesosoma, and anterior part of metasoma, dorsal view. B. Head, anterior view. C. Head, dorsal view. D. Head, anterior part of mesosoma, and fore legs, lateral view (arrow, apicomesial spine on fore tibia). Scale bars: 5 mm (A); 1 mm (B–D).

Figure 8 in Chalcochares hirsutifemur (Banks) (Hymenoptera: Pompilidae: Pompilinae), a probable obligate parasitoid of Aptostichus Simon (Araneae: Mygalomorphae: Euctenizidae) in California

Figure 8. Overhead coastal map of San Luis Obispo and Santa Barbara counties showing research site locations of Chalcochares hirsutifemur, Aporus hirsutus, Aporus luxus, Aptostichus atomarius, and Aptostichus simus. Rectangular inset on California map in upper right corner indicates area of study.

opencc-by-4.0Nov 2023View details →

Data associated to the paper "Phase diagram detection via Gaussian fitting of number probability distribution"

We investigate the number probability density function that characterizes subportions of a quantum many-body system with globally conserved number of particles. We put forward a linear fitting protocol capable of mapping out the ground-state phase diagram of the rich one-dimensional extended Bose-Hubbard model: The results are quantitatively comparable with more sophisticated traditional and machine learning techniques. We argue that the studied quantity should be considered among the most informative bipartite properties, being moreover readily accessible in atomic gases experiments. The dataset contains the entanglement spectra of several configurations of the extended Bose-Hubbard model ground state for different systems' sizes.

opencc-by-4.0Mar 2024View details →

Figure 4. Structure assignment probability plots for K in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status

Figure 4. Structure assignment probability plots for K = 3 groups from (a) 26 microsatellites: offshore (n = 5), resident (n = 250), Bigg's (n = 116) samples genotyped at ≥ 20 loci) (56; unpublished); (b) 3340 RADseq SNPs (polymorphic in sample set): offshore (n = 7), resident (n = 52) and Bigg's (n = 37) populations [57,62]. Vertical bars represent the individual assignment probability for each group inferred by Structure (groups identified by shading), with samples sorted by a priori ecotype assignment. See electronic supplementary material for methods and data set information.

Рис. 10. Блок-схема фиЗико-статистического прогноЗа уроЖайности спата приморского гребешка. Fig. 10. The block diagram of physical-statistical forecast of yield of spat of the Japanese scallop. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 10. Блок-схема фиЗико-статистического прогноЗа уроЖайности спата приморского гребешка. Fig. 10. The block diagram of physical-statistical forecast of yield of spat of the Japanese scallop.

Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980]. Fig. 9. The block diagram of prediction timing for installation of collectors and the expected number of spat [Belogrudov, 1980]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 9. Блок-схема прогноЗирования сроков установки коллекторов и оЖидаемого количества спата [Белогрудов, 1980]. Fig. 9. The block diagram of prediction timing for installation of collectors and the expected number of spat [Belogrudov, 1980].

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личинок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). Fig. 6. Terms of spawning of the Japanese scallop (1), growth and development of its larvae in plankton from the beginning of spawning to the sizes of 150 microns (2) and from 150 microns to 250–275 microns (3). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 6. Сроки нереста приморского гребешка (1), роста и раЗвития его личинок в планктоне от начала нереста до раЗмеров 150 мкм (2) и от 150 мкм до 250–275 мкм (3). Fig. 6. Terms of spawning of the Japanese scallop (1), growth and development of its larvae in plankton from the beginning of spawning to the sizes of 150 microns (2) and from 150 microns to 250–275 microns (3).

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June.

Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 4. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок приморского гребешка (номограмма для 1972 г.). Fig. 4. A grif of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the Crassostrea gigas (nomogram for 1972).

Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977]. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 3. Сетка термальных ресурсов Зал. Посьета с кривой раЗвития личинок тихоокеанской устрицы (номограмма) [Раков, 1977]. Fig. 3. A grid of thermal resources of waters of Possjet Bay and the curve line of development of larvae of the giant oyster Crassostrea gigas (nomogram) [Rakov, 1977].

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning.

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхности: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). Fig. 1. Average monthly sea surface water temperature in Novgorodskaya Bay: 1 – for the period 1931–1973; 2 – for 1977; 3 – for 1978; 4 – for 1979; 5 – for 1980; 6 – for 1981; 7 –spawning temperature (18ºC). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement

Рис. 1. Среднемесячная температура воды в б. Новгородская на поверхности: 1 – За период 1931–1973 гг.; 2 – За 1977 г.; 3 – За 1978 г.; 4 – За 1979 г.; 5 – За 1980 г.; 6 – За 1981 г.; 7 – температура нереста (18ºС). Fig. 1. Average monthly sea surface water temperature in Novgorodskaya Bay: 1 – for the period 1931–1973; 2 – for 1977; 3 – for 1978; 4 – for 1979; 5 – for 1980; 6 – for 1981; 7 –spawning temperature (18ºC).