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Fig 1 in Three Decades Of Zoological Survey In National Parks In Hungary (1974-2002)
Fig 1. Species' number as a function of the area of Hungarian National Parks and Bátorliget Nature Reserve (y = 0.0748x + 5.0967, R2 = 0.658)
Fig.1 in R Ec O V E Re D S Ui Ta Bi Li T Y O F D E Er H A B Itat In Hem Ibo Rea L W O Odl And 23 Ye Ars Afte R Va St Forest Fire In Slītere National Park, Latvia
Fig.1. Location of pellet group counts and habitat characteristics summarized at a hexagon level (10ha) regarding the borders of fire-affected area.
Рис. 1. Bryoxena centralasiae, изменчивость крыΛового рисунка: а, λ — Киргизский хр., нац. парк «АΛа-Арча»; в, г, з — хр. ΔжумгаΛтоо, массив Сары-Кайкы; д, к, м — хр. МоΛΑо-Тоо, пер. Коро-Гоо; б, е — Ферганский хр., пер. Урумбаш; ж, и — АΛайский хр., пер. ТаΛΑык Fig. 1. Bryoxena centralasiae, the wing pattern variability: а, λ — Kirghiz Mts., «Ala-Archa» national park; в, г, з — Dzhumgaltoo Mts., Sary-Kaiky gorge; д, к, м — Moldo-Too Mts., Koro-Goo Pass; б, е — Fergansky Mts., Urumbash Pass; ж, и — Alai Mts., Taldyk Pass in Morphometric Analysis Of The Genitalia Of (Staudinger, 1882) (Lepidoptera, Noctuidae)
Рис. 1. Bryoxena centralasiae, изменчивость крыΛового рисунка: а, λ — Киргизский хр., нац. парк «АΛа-Арча»; в, г, з — хр. ΔжумгаΛтоо, массив Сары-Кайкы; д, к, м — хр. МоΛΑо-Тоо, пер. Коро-Гоо; б, е — Ферганский хр., пер. Урумбаш; ж, и — АΛайский хр., пер. ТаΛΑык Fig. 1. Bryoxena centralasiae, the wing pattern variability: а, λ — Kirghiz Mts., «Ala-Archa» national park; в, г, з — Dzhumgaltoo Mts., Sary-Kaiky gorge; д, к, м — Moldo-Too Mts., Koro-Goo Pass; б, е — Fergansky Mts., Urumbash Pass; ж, и — Alai Mts., Taldyk Pass
Рис. 2. Некоторые обсΛеΑованные воΑотоки национаΛьного парка «Анюйский»: А — р. Анюй; Б — протока Кыкычен р. Анюй; В — р. Мани; Г — р. Пихца Fig. 2. Some investigated watercourses of the Anyuysky National Park: А — Anyuy River; Б — Kykychen channel of the Anyuy River; В — Mani River; Г — Pikhtsa River in Zoobenthos of salmon rivers in the Anyuysky National Park (Khabarovsky Region, Russia)
Рис. 2. Некоторые обсΛеΑованные воΑотоки национаΛьного парка «Анюйский»: А — р. Анюй; Б — протока Кыкычен р. Анюй; В — р. Мани; Г — р. Пихца Fig. 2. Some investigated watercourses of the Anyuysky National Park: А — Anyuy River; Б — Kykychen channel of the Anyuy River; В — Mani River; Г — Pikhtsa River
Fig. 3 in The correlations between certain features of the journal Neotropical Ichthyology and its impact factor: a comparative analysis at the thematic and national levels
Fig. 3. Correlation between average IF and uncitedness rate of journals on zoology in Sample 1 between 2006 and 2010. The highlighted represents the data for Neotropical Ichthyology.
Fig 4 in Diversity and distribution of scleractinian corals from Mandapam group of Islands in Gulf of Mannar marine national park, South East coast of India
Fig 4: Correspondence Analyses of life form categories recorded from the reef islands in Mandapam group, Gulf of Mannar Marina National Park. HC – Hard corals, SC- Soft coral, CB- Coral bleaching, AA-Algae, SP – Sponges, DC-Dead corals, RB-Rubbles, SD- Sand, SI – Silt, OT-Others, SI –Shingle Island, KI – Kurusadai Island, PI – Pullivasal Island, POI – Poomarichan Island, MPI – Manoliputti Island, MI – Manoli Island, HI - Hare Island.
FIGURE 7 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 7. Boxplot of yield difference over area index by hiatus class. Note the median for each hiatus class is close to zero. This indicates similar amounts of collection between the earlier year and the later year regardless of the number of years the area has been left to erode.
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 (yellow), 2009 (green), and 2010 (blue). Precise locality information is available to qualified researchers upon request from JODA's museum program.
FIGURE 9. All field collections from 2013 - early 2019 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 9. All field collections from 2013 - early 2019 to be used for tracking previous collection area. Points outside of JODA boundaries are BLM, USFS, or private localities. Precise locality information is available to qualified researchers upon request from JODA's museum program.
Fig. 2 in Diet and ecomorphological relationships of an endemic, species-poor fish assemblage in a stream in the Iguaçu National Park
Fig. 2. Ordenation of the fish fauna in Jumelo stream, Iguaçu National Park, Paraná, Brazil, produced by the first two axes of the principal components analysis (PCA 1 and PCA 2) applied to the correlation of 15 ecomorphological indices and the mouth orientations of the fish species.
Fig. 1 in Diet and ecomorphological relationships of an endemic, species-poor fish assemblage in a stream in the Iguaçu National Park
Fig. 1. Study area. Collection point in stream Jumelo, region of the Iguaçu National Park in the Brazilian state of Paraná and Gonçalves Dias River in the Iguaçu River Basin, Santa Tereza do Oeste, Paraná.
Figure 3. A & B in A rapid biodiversity assessment of Lesotho's first proposed Biosphere Reserve: a case study of Bokong Nature Reserve and Tšehlanyane National Park
Figure 3. A & B, the spectacular scenery of mountaineous landscapes forming part of the proposed BR; C, the endemic spiral aloe; D, the near-endemic Lesotho lily; E, the Lesotho red-hot poker; F, locally uncommon fern – bracken; G, endemic Maloti minnow; H, common eland; and I, its presence on rock paintings; J, some of the wetlands in the BNR; K, some of them damaged by diggings of Sloggett's ice rat (Source: K. Kobisi).
Figure 1. A & B in A rapid biodiversity assessment of Lesotho's first proposed Biosphere Reserve: a case study of Bokong Nature Reserve and Tšehlanyane National Park
Figure 1. A & B, Lesotho's first proposed Biosphere Reserve, showing the core (Tšehlanyane National Park and Bokong Nature Reserve), buffer and transition zones (Source: T. Leballo).
Figure 2 in A rapid biodiversity assessment of Lesotho's first proposed Biosphere Reserve: a case study of Bokong Nature Reserve and Tšehlanyane National Park
Figure 2. Transect walks covered during the different phases of the biodiversity survey (data collection) in the proposed Biosphere Reserve (Source: T. Leballo).
Figure 4 in Diatom responses to river water quality in the Kruger National Park, South Africa
Figure 4. The relationship between SPI and two physicochemical water quality parameters. Open symbols represent rivers with large catchments outside the KNP. Closed represent rivers with relatively small parts of their catchments outside the KNP. In both cases, the dark- er the symbol, the larger the catchment.
Figure 3 in Diatom responses to river water quality in the Kruger National Park, South Africa
Figure 3. Two-dimension MDS plot of diatom community composition in 1983 and 2015 at different sites along the Olifants (OM and OC), Letaba (LC and LK) and Sabie rivers (SL and SB). Note that all sites' diatom composition shifted significantly from 1983 to 2015 irrespective of whether the index values changed or not (see Table 4). Sample site abbreviations also in Table 4.
Figure 2 in Diatom responses to river water quality in the Kruger National Park, South Africa
Figure 2. Long-term changes in two selected river chemical parameters in the Olifants, Letaba and Sabie rivers between 1983 and 2015. The closed symbols represent data extracted from the Department of Water Affairs and Sanitation. Open symbols represent the values recorded at sites within the three focal rivers during the present study in 2015.
Figure 1. A in Diatom responses to river water quality in the Kruger National Park, South Africa
Figure 1. A map of the Kruger National Park, showing the location of the study area and diatom sampling sites.
Figure 2 in Seasonal distribution and habitat use preference of Barking deer (Muntiacus vaginalis) in Murree-Kotli Sattian-Kahuta National Park, Punjab Pakistan
Figure 2. Vegetation composition of Barking deer habitat in Murree-Kotli Sattian-Kahuta National Park.
Рис. 2. Самец пятнистого оΛеня в ΑоΛине р. КаяΛу, 7 июΛя 2018 г. Fig. 2. Male sika deer in the valley of the Kayalu River, 7 July, 2018 in Documented Evidence Of Habitation For The Sika Deer, The Amur Leopard Cat And The Striped Field Mouse In The Bikin National Park (Russia)
Рис. 2. Самец пятнистого оΛеня в ΑоΛине р. КаяΛу, 7 июΛя 2018 г. Fig. 2. Male sika deer in the valley of the Kayalu River, 7 July, 2018
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.