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2,507 results for “Species list”
Data from: Taxa, petitioning agency, and lawsuits affect time spent awaiting listing under the US Endangered Species Act
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Data from: A prioritised list of invasive alien species to assist the effective implementation of EU legislation
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Notes on Fomitiporia Murrill in Amazon region: a list of species and new references
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Species and supraspecies lists and richness of macrofauna from the Far Eastern seas, eastern Arctic seas, and adjacent waters of the Pacific and Arctic Oceans
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Database of Romanian cave invertebrates with a Red List of cave species and a list of hotspot/coldspot caves
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Canada's common law species at risk legislation scoring rubric and provincial conservation plans for listed species at risk
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Data from: Species’ traits explain differences in Red list status and long-term population trends in longhorn beetles
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Data from: Increased accuracy of species lists developed for alpine lakes using morphology and cytochrome oxidase I for identification of specimens
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Species list, with traits, in four forest types
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Biodiversity - Fauna - Soil Fauna - Species List
Arthropod and isopod species list
Ukulinga Farms, South Africa: Plant Species List
The distribution, structure and function of mesic savanna grasslands are strongly driven by fire regimes, grazing by large herbivores, and their interactions. This research addresses a general question about our understanding of savanna grasslands globally: Is our knowledge of fire and grazing sufficiently general to enable us to make accurate predictions of how these ecosystems will respond to changes in these drivers over time? Some evidence suggests that fire and grazing influence savanna grassland structure and function differently in South Africa (SA) compared to North America (NA). These differences have been attributed to the contingent factors of greater biome age, longer evolutionary history with fire and grazing, reduced soil fertility, and greater diversity of plants and large herbivores in SA. An alternative hypothesis is that differences in methods and approaches used to study these systems have led to differing perspectives on the role of these drivers. If the impacts of shared ecosystem drivers truly differ between NA and SA, this calls into question the generality of our understanding of these ecosystems and our ability to forecast how changes in key drivers will affect savanna grasslands globally. Since 2006, an explicitly comparative research program has been conducted to determine the degree of convergence in ecosystem (productivity, N and C cycling) and plant community (composition, diversity, dynamics) responses to fire and grazing in SA and NA. Thus far, initial support has been found for convergence at the ecosystem level and divergence at the community level in response to alterations in both fire regimes and grazing. However, there have also been two unexpected findings (1) the ways in which fire and grazing interact differed between NA and SA, and (2) the rate of change in communities when grazers were removed was much greater in NA than in SA. These unexpected findings raise a number of important new questions: (Q1) Will exclusion of grazi
Konza Prairie, Kansas Plant Species List
The distribution, structure and function of mesic savanna grasslands are strongly driven by fire regimes, grazing by large herbivores, and their interactions. This research addresses a general question about our understanding of savanna grasslands globally: Is our knowledge of fire and grazing sufficiently general to enable us to make accurate predictions of how these ecosystems will respond to changes in these drivers over time? Some evidence suggests that fire and grazing influence savanna grassland structure and function differently in South Africa (SA) compared to North America (NA). These differences have been attributed to the contingent factors of greater biome age, longer evolutionary history with fire and grazing, reduced soil fertility, and greater diversity of plants and large herbivores in SA. An alternative hypothesis is that differences in methods and approaches used to study these systems have led to differing perspectives on the role of these drivers. If the impacts of shared ecosystem drivers truly differ between NA and SA, this calls into question the generality of our understanding of these ecosystems and our ability to forecast how changes in key drivers will affect savanna grasslands globally. Since 2006, an explicitly comparative research program has been conducted to determine the degree of convergence in ecosystem (productivity, N and C cycling) and plant community (composition, diversity, dynamics) responses to fire and grazing in SA and NA. Thus far, initial support has been found for convergence at the ecosystem level and divergence at the community level in response to alterations in both fire regimes and grazing. However, there have also been two unexpected findings (1) the ways in which fire and grazing interact differed between NA and SA, and (2) the rate of change in communities when grazers were removed was much greater in NA than in SA. These unexpected findings raise a number of important new questions: (Q1) Will exclusion of grazi
Figure 4 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 4 A Petiole of C. antaris in dorsal view, CASENT0903658 (Will Ericson) B petiole of C. jehovae in dorsal view, CASENT0908475 (Zach Lieberman) C postpetiole of C. laestrygon in dorsal view, CASENT0912691 (Zach Lieberman) D postpetiole of C. jehovae in dorsal view, CASENT0908475 (Zach Lieberman), www.AntWeb.org.
Figure 7 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 7 C. aegyptiacaA body in profile B body in dorsal view C head in full-face view, CASENT0916082 (Anna Pal), www.AntWeb.org.
Figure 8 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 8 C. antarisA body in profile B body in dorsal view C head in full-face view, CASENT0908473 (Will Ericson), www.AntWeb.org.
Figure 30 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 30 C. striaticepsA body in profile B body in dorsal view C head in full-face view, CASENT0908479 (Zach Lieberman), www.AntWeb.org.
Figure 3 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 3 A Head of C. senegalensis in full-face view, CASENT0104592 (April Nobile) B head of C. flaviventris in full-face view, CASENT0912651 (Will Ericson) C head of C. melanogaster in full-face view, CASENT0904511 (Will Ericson) D mesosoma of C. melanogaster in profile, CASENT0904511 (Will Ericson) E head of C. auberti in full-face view, CASENT0908480 (Zach Lieberman) F mesosoma of C. auberti in profile, CASENT0904499 (Will Ericson), www.AntWeb.org.
Figure 28 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 28 C. oasiumA body in profile B body in dorsal view C head in full-face view, CASENT0249821 (Ryan Perry), www.AntWeb.org.
Figure 26 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 26 C. melanogasterA body in profile B body in dorsal view C head in full-face view, CASENT0904511 (Will Ericson), www.AntWeb.org.
Figure 27 from: Sharaf MR, Aldawood AS, Hita Garcia F (2019) Review of the Arabian Crematogaster Lund (Hymenoptera, Formicidae), synoptic list, distribution, and description of two new species from Oman and Saudi Arabia. ZooKeys 898: 27-81. https://doi.org/10.3897/zookeys.898.37531
Figure 27 C. mimosaeA body in profile B body in dorsal view C head in full-face view, CASENT0904507 (Will Ericson), www.AntWeb.org.
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.