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Рис. 3. РаспреΑеΛение чайковых птиц (А — тихоокеанская чайка, Б — восточносибирская чайка, В — бургомистр, Г — моевка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/ км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 3. Distribution of larids — (А) slaty-backed gull, (Б) Vega gull, (В) glaucous gull, (Г) blacklegged kittiwake — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects, dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 3. РаспреΑеΛение чайковых птиц (А — тихоокеанская чайка, Б — восточносибирская чайка, В — бургомистр, Г — моевка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/ км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 3. Distribution of larids — (А) slaty-backed gull, (Б) Vega gull, (В) glaucous gull, (Г) blacklegged kittiwake — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects, dotted line indicates a 200 m isobath
Рис. 2. РаспреΑеΛение трубконосых птиц (А — темноспинный аΛьбатрос, Б — гΛупыш, В — тонкокΛювый буревестник, Г — сизая качурка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 2. Distribution of tubenoses — (А) Laysan albatross, (Б) Northern fulmar, (В) shorttailed shearwater, (Г) fork-tailed storm-petrel — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects; dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 2. РаспреΑеΛение трубконосых птиц (А — темноспинный аΛьбатрос, Б — гΛупыш, В — тонкокΛювый буревестник, Г — сизая качурка) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 2. Distribution of tubenoses — (А) Laysan albatross, (Б) Northern fulmar, (В) shorttailed shearwater, (Г) fork-tailed storm-petrel — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects; dotted line indicates a 200 m isobath
Рис. 1. Размещение трансект (спΛошные черные Λинии) и Αаты провеΑения учетов в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря в февраΛе — мае 2020 г. РыбоΛовные районы: 05.1 — Северо-Охотоморская поΑзона; 05.2 — ЗапаΑно-Камчатская поΑзона; 05.3 — Восточно-СахаΛинская поΑзона; 05.4 — Камчатско-КуриΛьская поΑзона; 03 — Северо-КуриΛьская зона; 04 — Южно-КуриΛьская зона; 06 — зона Японское море. Пунктиром показана 200-метровая изобата Fig. 1. Transect locations (solid black lines) and dates of surveys in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020. Codes of the fishery areas are as follows: 05.1 — Northern Sea of Okhotsk Subzone; 05.2 — West Kamchatka Subzone; 05.3 — East Sakhalin Subzone; 05.4 — Kamchatka-Kuril Subzone; 03 — North Kuril Zone; 04 — South Kuril Zone; 06 — Sea of Japan Zone. Dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 1. Размещение трансект (спΛошные черные Λинии) и Αаты провеΑения учетов в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря в февраΛе — мае 2020 г. РыбоΛовные районы: 05.1 — Северо-Охотоморская поΑзона; 05.2 — ЗапаΑно-Камчатская поΑзона; 05.3 — Восточно-СахаΛинская поΑзона; 05.4 — Камчатско-КуриΛьская поΑзона; 03 — Северо-КуриΛьская зона; 04 — Южно-КуриΛьская зона; 06 — зона Японское море. Пунктиром показана 200-метровая изобата Fig. 1. Transect locations (solid black lines) and dates of surveys in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020. Codes of the fishery areas are as follows: 05.1 — Northern Sea of Okhotsk Subzone; 05.2 — West Kamchatka Subzone; 05.3 — East Sakhalin Subzone; 05.4 — Kamchatka-Kuril Subzone; 03 — North Kuril Zone; 04 — South Kuril Zone; 06 — Sea of Japan Zone. Dotted line indicates a 200 m isobath
Рис. 4. РаспреΑеΛение чистиковых птиц (А — тонкокΛювая и тоΛстокΛювая кайры, Б — боΛьшая конюга, В — конюга-крошка, Г — топорок) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 4. Distribution of alcids — (А) common and thick-billed murres, (Б) crested auklet, (В) least auklet, (Г) tufted puffin — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects, dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 4. РаспреΑеΛение чистиковых птиц (А — тонкокΛювая и тоΛстокΛювая кайры, Б — боΛьшая конюга, В — конюга-крошка, Г — топорок) в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря по резуΛьтатам суΑовых учетов в февраΛе — мае 2020 г. (особей/км2 на 10-минутных трансектах). СпΛошными Λиниями показаны учетные трансекты, пунктиром — 200-метровая изобата Fig. 4. Distribution of alcids — (А) common and thick-billed murres, (Б) crested auklet, (В) least auklet, (Г) tufted puffin — in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020 (birds/km2 on 10-minute transects). Solid lines indicate transects, dotted line indicates a 200 m isobath
Рис. 1. Вероятность обнаружения меченых животных (среΑнее ± ошибка) при пяти- и Αесятиметровых интерваΛах межΑу прикормочными станциями в Αвух экспериментах. По второму эксперименту расчеты сΑеΛаны ΑΛя резуΛьтатов отΛова в течение первых трех и поΛных Αесяти Αней. Значение «p» отражает уровень статистической значимости разΛичий межΑу ΑоΛями животных с меткой при Αвух интерваΛах Fig. 1. Probability of finding marked animals (average±standard error) between feeding stations placed at intervals of five and ten meters in the two experiments. In the second experiment, calculations were made for the results of trapping during the first three days and during the whole period of ten days. The p value reflects the statistical significance of differences between the fractions of animals with a mark for two types of intervals in Verification of the bottle-based method for estimating abundance of small mammals using biomarkers
Рис. 1. Вероятность обнаружения меченых животных (среΑнее ± ошибка) при пяти- и Αесятиметровых интерваΛах межΑу прикормочными станциями в Αвух экспериментах. По второму эксперименту расчеты сΑеΛаны ΑΛя резуΛьтатов отΛова в течение первых трех и поΛных Αесяти Αней. Значение «p» отражает уровень статистической значимости разΛичий межΑу ΑоΛями животных с меткой при Αвух интерваΛах Fig. 1. Probability of finding marked animals (average±standard error) between feeding stations placed at intervals of five and ten meters in the two experiments. In the second experiment, calculations were made for the results of trapping during the first three days and during the whole period of ten days. The p value reflects the statistical significance of differences between the fractions of animals with a mark for two types of intervals
Replication data for: Bilateral flows and rates of international migration of scholars for 210 countries and areas for the period 1998-2020
<h3>Data and code for performing analyses and plotting figures for "Bilateral flows and rates of international migration of scholars for 210 countries and areas for the period 1998-2020"</h3> <p>The code and data can also be found at https://github.com/MPIDR/Global-flows-and-rates-of-international-migration-of-scholars/</p> <p><strong>Abstract</strong>: A lack of comprehensive migration data is a major barrier for understanding the causes and consequences of migration processes, including for specific groups like high-skilled migrants. We leverage large-scale bibliometric data from Scopus and OpenAlex to trace the global movements of scholars. Based on our empirical validations, we develop pre-processing steps and offer best practices for the measurement and identification of migration events. We have prepared a publicly accessible dataset that shows a high level of correlation between the counts of scholars in Scopus and OpenAlex for most countries. Although OpenAlex has more extensive coverage of non-Western countries, the highest correlations with Scopus are observed in Western countries. We share aggregated yearly estimates of international migration rates and of bilateral flows for 210 countries and areas worldwide for the period 1998-2020 and describe the data structure and usage notes. We expect that the publicly shared dataset will enable researchers to further study the causes and the consequences of migration of scholars to forecast the future mobility of global academic talent.</p>
Figure 1 in Accounting for variability in life-history traits for the definition of amphidromous goby fry fisheries closure periods
Figure 1. – Ranking of the 4096 alternatives of fisheries closure periods based on the MULTIMOORA analysis on the abundance and life-history traits of Sicyopterus lagocephalus and Cotylopus acutipinnis. The best alternative is ranked 1 and the worst 4096. Fisheries closure periods are colour coded.
Figure 1 in Oviposition performance of tephritid polyphagous Anastrepha fraterculus and Ceratitis capitata during three periods of exposure to fruit
Figure 1. Oviposition behaviour of A. fraterculus and C. capitata during three infestation periods of fruit.
Impact of public health expenditure on malnutrition among Peruvians during the period 2010-2020: A panel data analysis
<p><strong><span>Background: </span></strong><a name="_Hlk170909708"></a><span>The study analyzes the impact of public health spending on malnutrition among Peruvians, using data from the National Household Survey, the Central Reserve Bank of Peru, the National Institute of Statistics and Informatics and the Ministry of Economy and Finance from 2010. -2020. Previous studies have revealed the existing relationship of health spending with the reduction of malnutrition</span><span>.</span></p> <p><strong><span>Methods:</span></strong><span> A quantitative approach is considered, with an explanatory type of research using panel data methodology considering the bidimensionality of the data, which allows quantifying this effect for the Peruvian case using the National Household Survey, data from the Central Reserve Bank of Peru, as well as information from the National Institute of Statistics and Informatics and the</span><strong><span> </span></strong><span>Transparency Portal of the Ministry of Economy and Finance in the period 2010-2020.</span><strong><span> </span></strong></p> <p><strong><span>Results: </span></strong><span>The results show that public expenditure on health has a negative relationship with malnutrition; the rural sector has a positive relationship with malnutrition given the limitations present for access to adequate food. Similarly, the unemployment rate shows a positive relationship with malnutrition, given that being unemployed leads to a higher cause of malnutrition in the population, and the gross domestic product has a negative relationship with malnutrition, given that greater economic growth produces an impact on reducing malnutrition, with the greatest impact being on the rural population and the gross domestic product. </span></p> <p><strong><span>Conclusions:</span></strong><span> In the analysis period 2010-2020 in Peru, based on the panel data analysis, the impact of public health expenditure on reducing malnutrition is observed in 10 departments, achieving a reduction in malnutrition; while in 14 departments, this indicator has not been reduced.</span></p>
Fig. 7 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 7 - The relationship between total leaf area, root length, and recovery period (A, B). Measurements were taken at the end of the recovery period (30 days after the most prolonged duration of flooding). The relationship between the number of flowers and the reproductive period was determined ten days after the recovery period ended (C). The relationship between fresh-weight fruit and the harvest period was determined 31 days after the recovery period ended (D). / Relazione tra area fogliare totale, lunghezza delle radici e periodo di recupero (A, B). Le misure sono state effettuate alla fine del periodo di recupero (30 giorni dopo la durata più prolungata dell'inondazione). La relazione tra il numero di fiori e il periodo riproduttivo è stata determinata dieci giorni dopo la fine del periodo di recupero (C). La relazione tra il peso fresco dei frutti e il periodo di raccolta è stata determinata 31 giorni dopo la fine del periodo di recupero (D).
Fig. 6 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 6 - Shoot biomass (A) and root biomass (B) after waterlogging and the end of the recovery period. Means and standard errors were based on five replications. Bars with different letters under the same category indicated a significant difference (p ≤ 0,05) with a paired t-test. C-AW: control after waterlogging, C-ER: control of the end recovery period, AW: after waterlogging, ER: the end of the recovery period. / Biomassa dei germogli (A) e delle radici (B) dopo il ristagno d'acqua e al termine del periodo di recupero. Le medie e gli errori standard si basano su cinque repliche. Le barre con lettere diverse sotto la stessa categoria indicano una differenza significativa (p ≤ 0,05) con un t-test a coppie. C-AW: controllo dopo il ristagno idrico, C-ER: controllo alla fine del periodo di recupero, AW: dopo il ristagno idrico, ER: alla fine del periodo di recupero.
Fig. 5 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 5 - Relationship between shoot biomass and root biomass with waterlogging duration. Measurements were made after the flooding ended. Shoot biomass in control (A), Shoot biomass in waterlogging duration treatment (B). Root biomass in control (C), root biomass in the waterlogging duration treatment (B). / Relazione tra la biomassa dei germogli e la biomassa delle radici con la durata del ristagno idrico. Le misurazioni sono state effettuate dopo la fine dell'allagamento. Biomassa dei germogli nel controllo (A), biomassa dei germogli nel trattamento di durata crescente del ristagno idrico (B). Biomassa radicale nel controllo (C), biomassa radicale nel trattamento di durata crescente del ristagno idrico (B).
Fig. 4 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 4 - The pattern of plant height (A) and number of leaves (B) during waterlogging and recovery period. Initial: before waterlogging treatment, AW-1d: after waterlogging one day, AW-3d: after waterlogging three days, AW-10d: after waterlogging ten days, R1: one-week recovery period, R2: two-week recovery period, R3: threeweek recovery period, R4: four-week recovery period, ER: end of the recovery period. / Andamento dell'altezza delle piante (A) e del numero di foglie (B) durante il periodo di ristagno idrico e di recupero. Iniziale: prima del trattamento di ristagno idrico, AW-1d: dopo un giorno di ristagno idrico, AW-3d: dopo tre giorni di ristagno idrico, AW-10d: dopo dieci giorni di ristagno idrico, R1: periodo di recupero di una settimana, R2: periodo di recupero di due settimane, R3: periodo di recupero di tre settimane, R4: periodo di recupero di quattro settimane, ER: fine del periodo di recupero.
Fig. 1 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 1 - Plant response after waterlogging and the end of the recovery period. Stomata opened at the control (A), stomata closed after waterlogging AW (B), stomata opened at ER (C), there was no hypertrophic lenticels formation at the control (D), a whitish color marked the early formation of hypertrophic lenticels after waterlogging AW at the base of the stems that were flooded for three days (E), the development of hypertrophic lenticels on the seventh day of waterlogging (F), and adventitious root formation on the ninth day of waterlogging (G). The scale bars (yellow line) in D, E, F, and G are 5 cm. / Risposta delle piante dopo il ristagno d'acqua e alla fine del periodo di recupero. Gli stomi si sono aperti al controllo (A), gli stomi si sono chiusi dopo il periodo di ristagno idrico AW (B), gli stomi si sono aperti ER (C), non c'è stata formazione di lenticelle ipertrofiche al controllo (D), il colore biancastro ha indicato la formazione precoce di lenticelle ipertrofiche dopo il periodo di ristagno idrico AW alla base degli steli sommersi per tre giorni (E), lo sviluppo di lenticelle ipertrofiche al settimo giorno di ristagno idrico (F) e la formazione di radici avventizie al nono giorno di ristagno idrico (G). Le barre di scala (linea gialla) in D, E, F e G sono di 5 cm.
Fig. 3 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 3 - The content of total chlorophyll (A) and carotenoids (B) after waterlogging and the end of the recovery period. Means and standard errors were based on five replications. Bars with different letters under the same category indicated a significant difference (p ≤ 0,05) with a paired t-test. C-AW: control after waterlogging, C-ER: control of the end recovery period, AW: after waterlogging, ER: the end of the recovery period. / Contenuto di clorofilla totale (A) e carotenoidi (B) dopo il ristagno idrico e al termine del periodo di recupero. Le medie e gli errori standard si basano su cinque repliche. Le barre con lettere diverse sotto la stessa categoria indicano una differenza significativa (p ≤ 0,05) con un t-test a coppie. C-AW: controllo dopo il ristagno idrico, C-ER: controllo alla fine del periodo di recupero, AW: dopo il ristagno idrico, ER: alla fine del periodo di recupero.
Fig. 2 in Tolerance of Capsicum frutescens L. (Solanales: Solanaceae) to the duration of waterlogging and impact on the post-waterlogging and recovery periods
Fig. 2 - Relationship between total chlorophyll and carotenoid content with waterlogging duration. Measurements were made after the flooding ended. Total chlorophyll in control (not waterlogging) (A), and waterlogging duration treatment (B). Carotenoid content in control (C), and the treatment with increasing waterlogging duration (D). / Relazione tra il contenuto di clorofilla totale e carotenoidi con la durata del ristagno idrico. Le misurazioni sono state effettuate dopo la fine del periodo di allagamento. Clorofilla totale nel controllo (senza ristagno d'acqua) (A) e nel trattamento con l'aumento della durata del ristagno idrico (B). Contenuto di carotenoidi nel controllo (C) e nel trattamento con l'aumento della durata del ristagno idrico (D).
Fig. 3 in Circadian activity patterns of the Red fox (Vulpes vulpes) and the Stone marten (Martes foina) in agricultural landscape of Northwestern Bulgaria during autumn-winter period
Fig. 3. Stone marten (Martes foina) and Red fox (Vulpes vulpes) daily activity patterns in protected area "Zlatiyata", Northwestern Bulgaria.
Fig. 2 in Circadian activity patterns of the Red fox (Vulpes vulpes) and the Stone marten (Martes foina) in agricultural landscape of Northwestern Bulgaria during autumn-winter period
Fig. 2. Stone marten, Martes foina (left) and Red fox, Vulpes vulpes (right) captured in protected area "Zlatiyata", Northwestern Bulgaria.
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. 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
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.