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Рис. 10. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский», май 2018 г. Фото А. Δ. Степных Fig. 10. A Oriental White Stork chick thrown out of the nest in the Sheremetyevsky Nature Park, May 2018. Photo by A. D. Stepnykh in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 10. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский», май 2018 г. Фото А. Δ. Степных Fig. 10. A Oriental White Stork chick thrown out of the nest in the Sheremetyevsky Nature Park, May 2018. Photo by A. D. Stepnykh
Рис. 3. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь по материаΛам авиаучетов: 1999 г. — треугоΛьник (по: Δарман, АнΑронов, Хигучи и Αр. 2000); 2004 г. — звезΑочка; 2005 г. — кружок Fig. 3. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon based on aerial surveys: 1999 — triangle (based on: Darman et al. 2000a); 2004 — asterisk; 2005 — circle in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 3. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста на воΑно-боΛотных угоΑьях оз. БоΛонь по материаΛам авиаучетов: 1999 г. — треугоΛьник (по: Δарман, АнΑронов, Хигучи и Αр. 2000); 2004 г. — звезΑочка; 2005 г. — кружок Fig. 3. Distribution of nests of the Oriental White Stork in the wetlands of Lake Bolon based on aerial surveys: 1999 — triangle (based on: Darman et al. 2000a); 2004 — asterisk; 2005 — circle
Рис. 11. Зависимость чисΛенности Heterodera glycines от засоренности поΛей Fig. 11. Dependence of the number of Heterodera glycines on the field weediness in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 11. Зависимость чисΛенности Heterodera glycines от засоренности поΛей Fig. 11. Dependence of the number of Heterodera glycines on the field weediness
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region
Рис. 2. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в Хабаровском крае по состоянию на 2018 г. Fig. 2. Distribution of nests of the Oriental White Stork in the Khabarovsk Territory as of 2018 in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 2. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в Хабаровском крае по состоянию на 2018 г. Fig. 2. Distribution of nests of the Oriental White Stork in the Khabarovsk Territory as of 2018
Рис. 2. Распредение биомассы Mytilus trossulus septentrionalis на литорали дальневоcточных морей России. Здесь и далее на гистограммах по оси абцисс после географических пунктов в скобках укаЗана выборка (число иЗученных проб), по оси ординат – максимальные ЗначениЯ биомассы вида. Под Значением биомассы 0.1 г/м² подраЗумеваютсЯ качественные пробы. СокраЩениЯ (бмп) и (топ) оЗначают соответственно беринговоморское и тихоокеанское побережьЯ Восточной Камчатки. Побережье Зал. Петра Великого от устьЯ р. Туманной к северу до м. Поворотного условно отноcитсЯ к южному Приморью; побережье к северу от м. Поворотного (пос. Преображение, б. СоколовскаЯ) до б. Ольга, включительно, условно относитсЯ к среднему Приморью; побережье к северу от б. Ольга до м. Белкина и материковое побережье Татарского пролива относим к северному Приморью. Fig. 2. The distribution of biomass of Mytilus trossulus septentrionalis in the intertidal zone of the Far Eastern seas of Russia. Here and throughout on histograms, on the abcissa is the number of studied samples (numbers in parentheses following the names geographic localities), on the ordinate is the maximum biomass of species. The number 0.1 g wet wt m-2 means the qualitative samples. Abbreviations (bmp) and (top) mean the Bering Sea coast and the Pacific coast of eastern Kamchatka. The coast of Peter the Great Bay from the mouth of the Tumannaya River to Cape Povorotny is conditionally referred to as southern Primorye; the area north of Cape Povorotny (Preobrazhenie Settlement, Sokolovskaya Bay) to Olga Bay inclusive is conditionally referred to as middle Primorye; north of Olga Bay to Cape Belkin and the mainland coast of the Tatar Strait to as northern Primorye. in Bivalve mollusks of the intertidal zone of the Far Eastern seas of Russia
Рис. 2. Распредение биомассы Mytilus trossulus septentrionalis на литорали дальневоcточных морей России. Здесь и далее на гистограммах по оси абцисс после географических пунктов в скобках укаЗана выборка (число иЗученных проб), по оси ординат – максимальные ЗначениЯ биомассы вида. Под Значением биомассы 0.1 г/м² подраЗумеваютсЯ качественные пробы. СокраЩениЯ (бмп) и (топ) оЗначают соответственно беринговоморское и тихоокеанское побережьЯ Восточной Камчатки. Побережье Зал. Петра Великого от устьЯ р. Туманной к северу до м. Поворотного условно отноcитсЯ к южному Приморью; побережье к северу от м. Поворотного (пос. Преображение, б. СоколовскаЯ) до б. Ольга, включительно, условно относитсЯ к среднему Приморью; побережье к северу от б. Ольга до м. Белкина и материковое побережье Татарского пролива относим к северному Приморью. Fig. 2. The distribution of biomass of Mytilus trossulus septentrionalis in the intertidal zone of the Far Eastern seas of Russia. Here and throughout on histograms, on the abcissa is the number of studied samples (numbers in parentheses following the names geographic localities), on the ordinate is the maximum biomass of species. The number 0.1 g wet wt m-2 means the qualitative samples. Abbreviations (bmp) and (top) mean the Bering Sea coast and the Pacific coast of eastern Kamchatka. The coast of Peter the Great Bay from the mouth of the Tumannaya River to Cape Povorotny is conditionally referred to as southern Primorye; the area north of Cape Povorotny (Preobrazhenie Settlement, Sokolovskaya Bay) to Olga Bay inclusive is conditionally referred to as middle Primorye; north of Olga Bay to Cape Belkin and the mainland coast of the Tatar Strait to as northern Primorye.
Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 8. СвяЗь меЖду количеством личинок гребешка в планктоне раЗмером 250–275 мкм и количеством спата на коллекторах. Fig. 8. The relationship between the number of the Japanese scallop larvae in plankton with a size of 250 to 275 µm and the number of spat on collectors.
Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б). in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 7. Сумма температур перед нерестом приморского гребешка (а) и количество спата на коллекторах (б). Fig. 7. The sum of temperatures before spawning of the Japanese scallop (a) and the number of spat on collectors (б).
Bacterial Community Weighted rrn Operon Copy Numbers and Enzyme Activity in Costa Rica and Alaska Soils.
<p>Datasets of bacterial community weighted rrn operon copy number and enzyme activity in Alaska and Costa Rica soils. The Alaska soils were collected from across four elevational terraces in a tidal wetland on the western coast. The Costa Rica soils were collected from plots subjected to precipitation manipulation treatments in La Selva Biological Research Station. </p> <p>The variable descriptions for the Alaska dataset are as follows: simple_id: an identifier variable. id: an identifier variable that includes terrace identity. transect_id: a variable that identifies collection transect location. BG_umol_g_h: the activity rate of beta-glucosiadase in micromoles per gram soil per hour. NAG_umol_g_h: the activity rate of N-acetyl-glucosaminidase in micromoles per gram soil per hour. LAP_umol_g_h: activity rate of leucine-aminopeptidase in micromoles per grams soil per hour. AP_umol_g_h: the activity rate of acid phosphatase in micromoles per gram soil per hour. BG_g_C: the activity rate of beta-glucosiadase in micromoles per gram soil carbon per hour. NAG-g_N: activity rate of N-acetyl-glucosaminidase in micromoles per gram soil nitrogen per hour. LAP_g_N: activity rate of leucine-aminopeptidase in micromoles per gram soil nitrogen per hour. AP_mg_P: activity rate of acid-phosphatase in micromoles per gram soil phosphorus per hour. P_mg_kg: soil phosphorus concentration in milligrams phosphorus per kilogram soil. K_mg_kg: soil potassium concentration in milligrams potassium per kilogram soil. C_pct: soil carbon concentration in percent. N_pct: soil nitrogen concentration in percent. pH: soil pH. cn_ratio: the carbon-to-nitrogen ratio of soil. cp_ratio: the carbon-to-phosphorus ratio of soil. np_ratio: the nitrogen to phosphorus ratio of soil. weighted_copy_number: the bacterial community weighted rrn operon copy number.</p> <p>The variable descriptions for the Costa Rica dataset are as follows: ID: a variable that identifies the soil core collected. Plot: a variable that identifies the experimental plot from which soils were collected. Precip: a variable that describes the precipitation manipulation treatment applied. Core: a variable that identifies whether soil cores were enclosed in mesh or not. Moisture: the soil moisture of the collected core in grams water per grams dry soil. weighted copy_number: the bacterial community weighted rrn operon copy number. AP: activity rate of acid-phosphatase in micromoles per gram soil per hour. BG: the activity rate of beta-glucosiadase in micromoles per gram soil per hour.</p> <p>Also included are files of the code used to analyze the data in the R Statistical Computing Environment.</p>
FIGURE 3 in Chromosome Numbers of Some Cultivated Acanthaceae with Notes on Chromosomal Evolution in the Family
FIGURE 3. Flowers of some species for which chromosome numbers are reported here. A. Ruellia costaricensis. B. Graptophyllum pictum. C. Ruellia elegans. D. Brillantaisia owariensis. E. Justicia fulvicoma. F. Ruellia dipteracanthus. G. Ruellia makoyana. H. Thunbergia grandiflora (white-flowered form). I. Megaskepasma erythrochlamys. J. Odontonema tubaeforme. K. Thunbergia mysorensis. L. Strobilanthes hamiltoniana. M. Justicia scheidweileri. N. Peristrophe speciosa. Photos by the author.
FIGURE 2 in Chromosome Numbers of Some Cultivated Acanthaceae with Notes on Chromosomal Evolution in the Family
FIGURE 2 (lower right). Chromosomes of Acanthaceae in pollen mother cells. A. Ruellia costaricensis, telophase II, n = 17. B. Strobilanthes hamiltoniana, telophase I (distance between poles of cell reduced for presentation), n = 11. C. Pseuderanthemum graciliflorum, metaphase I, n = 21. D. Peristrophe speciosa, metaphase I, n = 30. E. Strobilanthes hamiltoniana, diakinesis (showing nucleolus, n), n = 11. Chromosomes shown in outline only are touching or overlapping other chromosomes. Scale applies to all figures. See Table 1 for voucher information.
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region
Рис. 8. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2013 г. Fig. 8. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2013 in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 8. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2013 г. Fig. 8. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2013
Рис. 3. ЧисΛо яиц в цистах Heterodera glycines разных размерных групп в 2018 и 2019 гг. Fig. 3. Number of eggs in cysts of Heterodera glycines of different size groups in 2018 and 2019 in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 3. ЧисΛо яиц в цистах Heterodera glycines разных размерных групп в 2018 и 2019 гг. Fig. 3. Number of eggs in cysts of Heterodera glycines of different size groups in 2018 and 2019
Рис. 2. РаспреΔеΛение среΔних почвенных образцов по коΛичеству жизнеспособных цист Heterodera glycines Fig. 2. Distribution of average soil samples by the number of viable cysts of Heterodera glycines in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 2. РаспреΔеΛение среΔних почвенных образцов по коΛичеству жизнеспособных цист Heterodera glycines Fig. 2. Distribution of average soil samples by the number of viable cysts of Heterodera glycines
Number of fishers adaptations with increasing single hazard exposure
<p>Using a systematic review approach, we identified a global dataset of 301 reported adaptation responses of small-scale fishers to climate change. Here we calculated the number of the different types of fishers’ responses inside each of the corresponding climate change hazard exposure levels (i.e. percentiles) from four selected hazards: sea surface temperature rate of change, accumulated intensity of marine heatwaves, sea level rise of sea surges, and frequency of tropical storms. The magnitude of exposure was calculated using the following percentiles: 25th percentile (low exposure), 50th (medium), 75th (high), and 90th (hotspot)</p>
Рис. 7. Удельный вес ЭкЗемплЯров глицимериса (%, от обЩего числа раковин и створок) со следами периостракума на иЗученном участке. Fig. 7. Proportions of the Glycymeris yessoensis specimens with traces of periostracum (of the total number of shells and valves) on the beach studied. in Shell destruction of the bivalve mollusk Glycymeris yessoensis on a beach in Possjet Bay (the Sea of Japan)
Рис. 7. Удельный вес ЭкЗемплЯров глицимериса (%, от обЩего числа раковин и створок) со следами периостракума на иЗученном участке. Fig. 7. Proportions of the Glycymeris yessoensis specimens with traces of periostracum (of the total number of shells and valves) on the beach studied.
Рис. 6. Удельный вес ЭкЗемплЯров глицимериса (%, от обЩего числа раковин и створок) с механическими повреЖдениЯми на иЗученном участке. Fig. 6. Proportions of the Glycymeris yessoensis specimens with mechanical damage (of the total number of shells and valves) on the beach studied. in Shell destruction of the bivalve mollusk Glycymeris yessoensis on a beach in Possjet Bay (the Sea of Japan)
Рис. 6. Удельный вес ЭкЗемплЯров глицимериса (%, от обЩего числа раковин и створок) с механическими повреЖдениЯми на иЗученном участке. Fig. 6. Proportions of the Glycymeris yessoensis specimens with mechanical damage (of the total number of shells and valves) on the beach studied.
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1 in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1
Data from: Effects of age, breeding strategy, population density, and number of neighbors on territory size and shape in Savannah Sparrows
<p>The size and shape of an animal's breeding territory are dynamic features influenced by multiple intrinsic and extrinsic factors and can have important implications for survival and reproduction. Quantitative studies of variation in these territory features can generate deeper insights into animal ecology and behavior. We explored the effect of age, breeding strategy, population density, and number of neighbors on the size and shape of breeding territories in an island population of Savannah Sparrows (<em>Passerculus sandwichensis</em>). Our dataset consisted of 407 breeding territories belonging to 225 males sampled over 11 years. We compared territory sizes to the age of the male territorial holder, the male's reproductive strategy (monogamy vs. polygyny), the number of birds in the study population (population density), and the number of immediate territorial neighbors (local density). We found substantial variation in territory size, with territories ranging over two orders of magnitude from 57 to 5727 m2 (0.0057 to 0.57 ha). Older males had larger territories, polygynous males had larger territories, territories were smaller in years with higher population density, and larger territories were associated with more immediate territorial neighbors. We also found substantial variation in territory shape, from near-circular to irregularly-shaped territories. Males with more neighbors had irregularly shaped territories, but the shape did not vary with male age, breeding strategy, or population density. For males that lived two years or longer, we found strong consistent individual differences in territory size across years, but weaker individual differences in territory shape, suggesting that size has high repeatability whereas shape has low repeatability. Our work provides evidence that songbird territories are highly dynamic and that their size and shape reflect both intrinsic factors (age and number of breeding partners) and extrinsic factors (population density and number of territorial neighbors).</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.