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13,117 results for “Maps”
Figure 1 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 1: Predicted distribution of Phanaeus amethystinus species group.
Figure 2 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 2: Predicted and recorded distribution of Phanaeus amethystinus.
Figure 15 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 15: Predicted and recorded distribution of Phanaeus achilles.
Figure 18 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 18: Predicted and recorded distribution of Phanaeus lecourti.
Figure 23 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 23: Predicted distribution of Phanaeus endymion species group (continued).
Figure 26 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 26: Predicted and recorded distribution of Phanaeus chiapanecus.
Figure 13 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 13: Predicted and recorded distribution of Phanaeus sororibispinus.
Figure 28 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 28: Predicted and recorded distribution of Phanaeus endymion.
Figure 22 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 22: Predicted distribution of Phanaeus endymion species group (continued).
Figure 30 in Predicted and recorded distribution maps of the genus Phanaeus (Coleoptera: Scarabaeidae). Supplementary material of Distribution, Regionalization, and Diversity of the dung beetle genus Phanaeus MacLeay (Coleoptera: Scarabaeidae) using Species Distribution Models
Figure 30: Predicted and recorded distribution of Phanaeus halffterorum.
MAP 7 in The Scoliidae wasps (Hymenoptera: Scolioidea) of Mexico: taxonomy and biogeography
MAP 7. Distribution of Scolia fuscipennis, Scolia guttata guttata and Scolia mexicana.
MAP 4 in The Scoliidae wasps (Hymenoptera: Scolioidea) of Mexico: taxonomy and biogeography
MAP 4. Distribution of Pygodasis ephippium ephippium and Pygodasis hyalina.
MAP 2 in The Scoliidae wasps (Hymenoptera: Scolioidea) of Mexico: taxonomy and biogeography
MAP 2. Distribution of Colpa alcione, Colpa flammicoma and Colpa octomaculata texensis.
MAP 3 in The Scoliidae wasps (Hymenoptera: Scolioidea) of Mexico: taxonomy and biogeography
MAP 3. Distribution of Dielis dorsata, and Dielis tolteca.
Fine-resolution global maps of root biomass carbon colonized by arbuscular and ectomycorrhizal fungi
<p><span>Despite the recognized importance of mycorrhizal associations in ecosystem functioning, the actual abundance patterns of mycorrhizal fungi belowground are still unknown. This information is key for better quantification of mycorrhizal impacts on ecosystem processes and for incorporating mycorrhizal pathways into global biogeochemical models. Here we present the first high-resolution maps of fine root stocks colonized by arbuscular mycorrhizal (AM) and ectomycorrhizal (EcM) fungi (MgC ha−1). The maps were assembled by combining multiple open-source databases holding information on root biomass carbon, the proportion of AM and EcM tree biomass, plot-level relative abundance of plant species and intensity of AM and EcM root colonization. We calculated root-associated AM and EcM abundance in 881 spatial units, defined as the combination of ecoregions and land cover types across six continents. These maps serve as a basis for future research where continuous spatial estimates of root mycorrhizal stocks are needed.</span></p>
FIG. 85. Distribution maps, A. mariae species group. A. A. tormentum. B. A. wheeleri. C. A in Revision Of The Nearctic Species Of The Genus Amiota Loew (Diptera: Drosophilidae)
FIG. 85. Distribution maps, A. mariae species group. A. A. tormentum. B. A. wheeleri. C. A. zaliskoi.
Process map and time estimation per indication
<p>Process map and time estimation per indication</p>
Fig. 14. Distribution maps. A in A systematic revision of the genus Juga from fresh waters of the Pacific Northwest, USA (Cerithioidea, Semisulcospiridae)
Fig. 14. Distribution maps. A. Juga caerulea sp. nov. B. Juga canella sp. nov. C. Juga douglasi sp. nov. Red stars, type localities; black dots, sequenced specimens; gray dots, unsequenced museum material. Abbreviations: CA = California; NV = Nevada; OR = Oregon; WA = Washington.
Mapping the use of Google Scholar in evaluative bibliometric or scientometric studies: a bibliometric review
<p>Bibliographic information of the corpus.</p>
Western Tigray (Ethiopia): illustration of a mapping blunder
<p>In Ethiopia, the historical maps of Western Tigray are under scrutiny. Western Tigray is not only notable for the multiple war crimes committed there during the Tigray War, but is also a contested area between the Tigray and Amhara regions. It has been forcefully occupied by Amhara Special Forces and militias since the end of 2020.</p> <p>If one were to come in 50 years from now, some maps of 2020-2023 would appear with Western Tigray displayed as part of Amhara Region. For instance, on June 10<sup>th</sup>, 2021, UNOCHA and UN Geneva briefly published a map of Tigray (presumably using information provided by their staff in Addis Ababa) with large parts of Tigray incorporated in the Amhara Region</p>
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.