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Figure 3 in The northward extension of reptiles in the Palearctic, with the Jordan Valley (Israel) as a model: snakes outrace lizards (Reptilia: Squamata)
Figure 3. The geographical distribution of all records of snakes in the study area, solid circles. Some key localities for orientation are shown in Figure 1.
Figure 2 in The northward extension of reptiles in the Palearctic, with the Jordan Valley (Israel) as a model: snakes outrace lizards (Reptilia: Squamata)
Figure 2. The geographical distribution, in the study area, of the records of two lizard species: Mesalina guttulata (Lacertidae), open circles, and Tropiocolotes nattereri (Gekkonidae), solid circles. Some key localities for orientation are shown in Figure 1.
Figure 3 in Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model
Figure 3. The estimated proportions (± SE) of shared species (species occurring in both Israel and Jordan) among all the regions in the north and south studied areas. Groups with similar letters are not significantly different from each other.
Figure 2 in Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model
Figure 2. Young male Gazella gazella acaciae Mendelssohn et al. (1997) from the 'Arava Valley, photographed for identification in January 1964 in the then Elat Zoo, Israel, 33 years before the taxon was recognized and described (photo: YL & N Werner).
Figure 1 in Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model
Figure 1. Schematic map of Cisjordan, Transjordan and the 'Arava valley shared by them. The number of squamate taxa in an area is encircled in that area. The number of species shared by two areas is in the arc bridging them. In the middle of the southern complex is a bridge joining all three areas. (Technique inspired by figures 92 and 95 in Anderson 1968).
A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia
<p>Strain data measured on the trunks of 19 trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall. The nearby field centre is located at (4°57'53.0"N 117°48'18.3"E) and the measured trees are part of the 50ha Smithsonian plot and the 1ha intensive carbon monitoring plot 1. </p>
Environmental filtering and spatial processes shape the beta diversity of liana communities in a valley savanna in Southwest China
<p><b><span>Questions:</span></b> Lianas contribute substantially to diversity and function of ecosystems. What is the relative importance of environmental filtering and spatial processes on structuring liana beta diversity at taxonomic, functional and phylogenetic levels? Is there any synergy between these drivers (environmental factors and spatial distance) on shaping three dimensions of beta diversity in a savanna liana community?</p> <p><b><span>Location:</span></b> A dry-hot valley savanna in Yunnan Province, southwest China.</p> <p><b><span>Methods: </span></b>We established 30 20×20 m plots in the savanna to collect data on the distribution of 22 liana species, 19 functional traits, and plot-level soil nutrients, elevation, and slope. The relative contributions of these environmental factors and spatial distance to liana taxonomic, functional and phylogenetic dissimilarity were analyzed using multiple regression on distance matrices. We also tested which environmental factors influence the beta diversity of liana community using permutational multivariate analysis of variance.</p> <p><b><span>Results: </span></b>Both environmental and spatial distances were significantly correlated with taxonomic, functional and phylogenetic dissimilarity. Spatial distance explained more variation in taxonomic beta diversity than environmental factors. But for both nearest neighbor functional and phylogenetic distance <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, environment explained a relatively higher variation than space did. Moreover, the proportion explained by environmental variables was ranked in decreasing order as follows: functional <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, phylogenetic <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, and taxonomic beta diversity. We found soil pH had the highest contribution to taxonomic and functional beta diversity, while soil total nitrogen contributed most to phylogenetic beta diversity.</p> <p><b><span>Conclusions: </span></b>This study revealed that liana taxonomic, functional and phylogenetic beta diversity in the study hot-dry savanna ecosystem are affected and maintained by both environmental filtering and spatial processes. Moreover, the functional and phylogenetic diversities were more strongly subject to environmental filtering. Our study provides the information on mechanisms underlying liana diversity maintenance in savanna, which are necessary to inform conservation management in this vulnerable ecosystem. </p>
Geochemical Analysis of Obsidian Artifacts from the Majes Valley, Arequipa Peru using Portable-XRF
<p>In 2018, geochemical analysis was conducted using portable-XRF of 303 obsidian artifacts from four archaeological sites in the Majes Valley, Arequipa Peru. The four sites correspond to the Middle Horizon period (AD 600-1000) and include Santa Rosa II, La Angostura, El Tambo, and Pakaytambo. Comparisons to geologic obsidian samples allowed for the positive identification of artifacts to their corresponding geologic source. Results indicate the use of six discrete obsidian sources from the south-central Andes. Three of the sources are found relatively close to the study area and include Alca-1, Alca-4, and Anillo. A smaller quantity of artifacts was characterized as Quispisisa, Jampatilla, and Lisahuacho found to the north of Arequipa in the neighboring departments of Ayacucho and Apurimac.</p> <p>This data is a component of the PhD dissertation entitled <em>Networks of Empire: The Role of Infrastructure in Wari State Expansion in Arequipa, Peru (AD 600-1000)</em> by David A. Reid (University of Illinois at Chicago).</p> <p>This research was conducted in collaboration with Patrick Ryan Williams at The Field Museum of Natural History and the institution’s Elemental Analysis Facility.</p> <p>Funding was provided by the National Science Foundation’s Doctoral Dissertation Research Improvement Award (#1854651).</p>
Figure 1 from: Roma-Marzio F, D'Antraccoli M, Angeloni D, Bartolucci F, Bernardo L, Cancellieri L, Caruso G, Conti F, Dolci D, Gestri G, Gubellini L, Hofmann N, Laface VL.A, Lattanzi E, Lavezzo P, Maiorca G, Montepaone G, Musarella CM, Noto D, Perrino EV, Proietti E, Masin RR, Scoppola A, Stinca A, Tiburtini M, Tilia A, Peruzzi L (2020) Contribution to the floristic knowledge of Sillaro, Santerno, and Senio high valleys (Toscana, Italy). Italian Botanist 10: 101-111. https://doi.org/10.3897/italianbotanist.10.60118
Figure 1 Study area and localization of sampling sites. Dotted line represents the boundary between the municipalities of Firenzuola (westwards) and Palazzuolo sul Senio (eastwards). For details on the sample sites, see Table 1.
Supplementary material 1 from: Roma-Marzio F, D'Antraccoli M, Angeloni D, Bartolucci F, Bernardo L, Cancellieri L, Caruso G, Conti F, Dolci D, Gestri G, Gubellini L, Hofmann N, Laface VL.A, Lattanzi E, Lavezzo P, Maiorca G, Montepaone G, Musarella CM, Noto D, Perrino EV, Proietti E, Masin RR, Scoppola A, Stinca A, Tiburtini M, Tilia A, Peruzzi L (2020) Contribution to the floristic knowledge of Sillaro, Santerno, and Senio high valleys (Toscana, Italy). Italian Botanist 10: 101-111. https://doi.org/10.3897/italianbotanist.10.60118
Supplementary data
Figure 2 from: Roma-Marzio F, D'Antraccoli M, Angeloni D, Bartolucci F, Bernardo L, Cancellieri L, Caruso G, Conti F, Dolci D, Gestri G, Gubellini L, Hofmann N, Laface VL.A, Lattanzi E, Lavezzo P, Maiorca G, Montepaone G, Musarella CM, Noto D, Perrino EV, Proietti E, Masin RR, Scoppola A, Stinca A, Tiburtini M, Tilia A, Peruzzi L (2020) Contribution to the floristic knowledge of Sillaro, Santerno, and Senio high valleys (Toscana, Italy). Italian Botanist 10: 101-111. https://doi.org/10.3897/italianbotanist.10.60118
Figure 2 A view from the site 3D in Castiglioncello (Firenzuola, Firenze) (A); Polygala nicaeensis subsp. mediterranea from site 2A (B); Potentilla neglecta (C) and P. pusilla (D) from site 2D, both new records for the flora of Toscana. For details on the sample sites, see Table 1. All photographs by L. Peruzzi.
FIGURE 12. A in A new species of Pheraeus Godman, 1900 (Hesperiidae, Hesperiini, Moncina) restricted to Rio Doce Valley, Brazil
FIGURE 12. A.Pheraeus guandu sp. nov. Geographical distribution.
FIGURE 4 in A new species of night-lizard of the genus Lepidophyma (Squamata: Xantusiidae) from the Cuicatlán Valley, Oaxaca, México
FIGURE 4. Type series of Lepidophyma cuicateca illustrating variation in dorsal color pattern.
FIGURE 3 in A new species of night-lizard of the genus Lepidophyma (Squamata: Xantusiidae) from the Cuicatlán Valley, Oaxaca, México
FIGURE 3. Geographic distribution of the members of the Lepidophyma gaigeae Group.
FIGURE 1 in A new species of Filispirifer (Brachiopoda: Delthyridoidea) from the Dra Valley, Morocco (Lower Devonian)
FIGURE 1. Geologic map of in the Dra Valley, Morocco. Collection localities of the spiriferids.
FIGURE 7 in A diversity and conservation inventory of the Herpetofauna of the Cuautlapan Valley, Veracruz, Mexico
FIGURE 7. Chayote (Sechium edule) plantation at Cuautlapan Valley, Veracruz, Mexico.
FIGURE 4 in A diversity and conservation inventory of the Herpetofauna of the Cuautlapan Valley, Veracruz, Mexico
FIGURE 4. Sugar Cane plantation at Cuautlapan, Veracruz, Mexico
FIGURE 6 in A diversity and conservation inventory of the Herpetofauna of the Cuautlapan Valley, Veracruz, Mexico
FIGURE 6. Water pollution in a Cuautlapan creek, Veracruz, Mexico.
FIGURE 2. A in A diversity and conservation inventory of the Herpetofauna of the Cuautlapan Valley, Veracruz, Mexico
FIGURE 2. A view of the Cuautlapan Valley, Veracruz, Mexico.
FIGURE 3 in A diversity and conservation inventory of the Herpetofauna of the Cuautlapan Valley, Veracruz, Mexico
FIGURE 3. Sugar Cane Mill (El Carmen) at Cuautlapan, Veracruz, Mexico.
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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.