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17,039 results for “Natural”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Aristocle Vàtova, <a href="http://www.wikidata.org/entity/Q21611504">http://www.wikidata.org/entity/Q21611504</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Ruprecht Düll, <a href="http://www.wikidata.org/entity/Q2176697">http://www.wikidata.org/entity/Q2176697</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Emanuel von Friedrichsthal, <a href="http://www.wikidata.org/entity/Q88737">http://www.wikidata.org/entity/Q88737</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Francisco Bellot Rodríguez, <a href="http://www.wikidata.org/entity/Q21392555">http://www.wikidata.org/entity/Q21392555</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Paul Antoine Sagot, <a href="http://www.wikidata.org/entity/Q4404450">http://www.wikidata.org/entity/Q4404450</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Hermano Nicéforo María, <a href="http://www.wikidata.org/entity/Q1613449">http://www.wikidata.org/entity/Q1613449</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Рис. 9. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2018 г. Fig. 9. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2018 in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 9. РаспреΑеΛение гнезΑ ΑаΛьневосточного аиста в прироΑном парке «Шереметьевский» в 2018 г. Fig. 9. Distribution of nests of the Oriental White Stork in the Sheremetyevsky Nature Park in 2018
Рис. 11. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в заказнике «Муравьевский» в Амурской обΛасти, май 2010 г. Фото М. Н. Кочерга Fig. 11. A Oriental White Stork chick thrown out of the nest in the Muravyevsky Nature Reserve in the Amur Region, May 2010. Photo by M. N. Kocherga in The number and distribution of the Oriental White Stork Ciconia boyciana Swinhoe, 1873 in the Khabarovskiy Region
Рис. 11. Выброшенный из гнезΑа птенец ΑаΛьневосточного аиста в заказнике «Муравьевский» в Амурской обΛасти, май 2010 г. Фото М. Н. Кочерга Fig. 11. A Oriental White Stork chick thrown out of the nest in the Muravyevsky Nature Reserve in the Amur Region, May 2010. Photo by M. N. Kocherga
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. 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
FIGURE 4 in Herpetological Survey of Iona National Park and Namibe Regional Natural Park, with a Synoptic List of the Amphibians and Reptiles of Namibe Province, Southwestern Angola
FIGURE 4. Adult male Namib Rock Agama, Agama planiceps Peters, 1862, from Pico Azevedo. Photo by Luis Ceríaco.
FIGURE 1 in Herpetological Survey of Iona National Park and Namibe Regional Natural Park, with a Synoptic List of the Amphibians and Reptiles of Namibe Province, Southwestern Angola
FIGURE 1. Map of the main sampled localities: A) Morro do Soba; B) Omauha Lodge; C) Rio Curoca; D) Entrada do Iona; E) Campo das espinheiras; F) Iona; G) Ford car Wreck; H) Pediva; I) Tambor; J) Serra da Leba; K) Pico do Azevedo; L) Caraculo; M) Praia do navio.
FIGURE 18 in Herpetological Survey of Iona National Park and Namibe Regional Natural Park, with a Synoptic List of the Amphibians and Reptiles of Namibe Province, Southwestern Angola
FIGURE 18. Adult Southern Rock Python, Python natalensis (Gmelin, 1788), being sold by a local near Bruco village. Photo by Luis Ceríaco.
FIGURE 17 in Herpetological Survey of Iona National Park and Namibe Regional Natural Park, with a Synoptic List of the Amphibians and Reptiles of Namibe Province, Southwestern Angola
FIGURE 17. Adult female Desert Plated Lizard, Gerrhosaurus skoogi Andersson, 1916, from the coastal dunes, near Praia do Navio. Photo by Arianna Kuhn
FIGURE 11 in Herpetological Survey of Iona National Park and Namibe Regional Natural Park, with a Synoptic List of the Amphibians and Reptiles of Namibe Province, Southwestern Angola
FIGURE 11. Adult Bogert's Speckled Western Burrowing Skink Typhlacontias punctatissimus bogerti Laurent, 1964, from Pico Azevedo. Photo by Edward Stanley.
Survey questionnaire data on Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment
<p>Data consist of a R file format and contain the cleaned survey quistionaire data where people were asked about their perceptions, interactions, and responses to urban natural environments. For more information please read the following report Published as part of the Regreen Horizon project. </p> <p>Panduro, T.E., Zandersen, M., Guell, C., Lovell, R., Garrett, J., Taylor, T., Fullam, J., Amegbor, P. (2024) Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment (EMA). Deliverable D4.6. REGREEN - Fostering nature-based solutions for smart, green and healthy urban transitions in Europe and China. Horizon2020 Grant No. 821016. https://www.doi.org/10.5281/zenodo.10594764</p>
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold. in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 1. ОбЩий вид фиксированных Этанолом глохидиев в световой (А) и сканируюЩий Электронный (В) микроскопы (Amuranodonta kijaensis, бассейн р. Амур, Хинганский Заповедник, АмурскаЯ обл.). МасШтаб 100 мкм. Микроскопы Nikon (А) и Zeiss EVO 40 (B), напыление Золотом FIG. 1. Ethanol-fixed glochidia (Amuranodonta kijaensis, Amur River basin, Khingansky Nature Reserve, Amur Oblast), light (A) and scanning electron (B) microscopes. Scale bar 100 mµ. Light Nikon (A) and scanning electron Zeiss EVO 40 (B) microscopes, sputter coating with gold.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Gustav Heinrich Otth, <a href="http://www.wikidata.org/entity/Q5889382">http://www.wikidata.org/entity/Q5889382</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Potential Natural Vegetation of Eastern Africa (Burundi, Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia): raster and vector GIS files for each country
<p>The map of potential natural vegetation of eastern Africa (V4A) gives the distribution of potential natural vegetation in Ethiopia, Kenya, Tanzania, Uganda, Rwanda, Burundi, Malawi and Zambia.</p> <p>The map is based on national and local vegetation maps constructed from botanical field surveys - mainly carried out in the two decades after 1950 - in combination with input from national botanical experts. Potential natural vegetation (PNV) is defined as “vegetation that would persist under the current conditions without human interventions”. As such, it can be considered a baseline or null model to assess the vegetation that could be present in a landscape under the current climate and edaphic conditions and used as an input to model vegetation distribution under changing climate.</p> <p>Vegetation types are defined by their tree species composition, and the documentation of the maps thus includes the potential distribution for more than a thousand tree and shrub species, see the documentation (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fspecies.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=aeHdnF4n19CbTTznMdObr91vfZys%2FY1PrK1OxI%2BHif0%3D&reserved=0">https://vegetationmap4africa.org/species.html</a>)</p> <p>The map distinguishes 48 vegetation types, divided in four main vegetation groups: 16 forest types, 15 woodland and wooded grassland types, 5 bushland and thicket types and 12 other types. The map is available in various formats. The online version (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fvegetation_map.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=VKVkjZ8lTKMyoU9luZLAYFDwY5sbwDrGXceVEQAeGIQ%3D&reserved=0">https://vegetationmap4africa.org/vegetation_map.html</a>) and for PDF versions of the map, see the documentation (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fdocumentation.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=FIsoem3dYG4%2FIQFMPlM8B2Vf9Doqf2CS7p2fevpAwx0%3D&reserved=0">https://vegetationmap4africa.org/documentation.html</a>). Version 2.0 of the potential natural vegetation map and the woody species selection tool was published in 2015 (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fdocs%2Fversionhistory%2F&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=J1aJt1D0dUhDd2fF9uEo8k1uu%2F7josYZCnQG%2FXWj5Ks%3D&reserved=0">https://vegetationmap4africa.org/docs/versionhistory/</a>). The original data layers include country-specific vegetation types to maintain the maximum level of information available. This map might be most suitable when carrying out analysis at the national or sub-national level.</p> <p>When using V4A in your work, cite the publication: Lillesø, J-P.B., van Breugel, P., Kindt, R., Bingham, M., Demissew, S., Dudley, C., Friis, I., Gachathi, F., Kalema, J., Mbago, F., Minani, V., Moshi, H., Mulumba, J., Namaganda, M., Ndangalasi, H., Ruffo, C., Jamnadass, R. & Graudal, L. 2011, Potential Natural Vegetation of Eastern Africa (Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia). Volume 1: The Atlas. 61 ed. Forest & Landscape, University of Copenhagen. 155 p. (Forest & Landscape Working Papers; 61 - as well as this repository using the DOI <<span><a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.11125645&data=05%7C02%7Cjpbl%40ign.ku.dk%7C82eb48688be64612c08108dc70c1b2e9%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638509224465318531%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=BtOVb3lPqZXp45K%2BWKUaLQEK3CTn0uMg8ysuQh5aVpo%3D&reserved=0">https://doi.org/10.5281/zenodo.11125645</a></span>>.</p> <p>The development of V4A was mainly funded by the Rockefeller Foundation and supported by University of Copenhagen</p> <p>If you want to use the potential natural vegetation map of eastern Africa for your analysis, you can download the spatial data layers in raster format as well as in vector format from this repository <<span><a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.11125645&data=05%7C02%7Cjpbl%40ign.ku.dk%7C82eb48688be64612c08108dc70c1b2e9%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638509224465318531%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=BtOVb3lPqZXp45K%2BWKUaLQEK3CTn0uMg8ysuQh5aVpo%3D&reserved=0">https://doi.org/10.5281/zenodo.11125645</a></span>></p> <p>A simplified version of the map can be found on <u>Figshare <https://doi.org/10.6084/m9.figshare.1306936.v1>. </u>That version aggregates country specific vegetation types into regional types. This might be the better option when doing regional-level assessments.</p> <p> </p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Edward Whittall, <a href="http://www.wikidata.org/entity/Q5820029">http://www.wikidata.org/entity/Q5820029</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
ScienceDex guides
Understand access before you commit
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.