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Fig. 3 in Genetic Diversity And Place In The General Phylogeographic Structure Of Capercaillie,Tetrao Urogallus (Galliformes, Phasianidae), From Belarus
Fig. 3. Network of capercaillie haplotypes according to the mtDNA control region. Balkans — the Balkan Peninsula, E_Europe — Eastern Europe, N_Europe — Northern Europe, W_Russia — Western Russia (up to Ural Mountains), W_Europe — Western Europe, NW_Russia — Northwest Russia, C_Europe — Central Europe.
Fig. 1 in Genetic Diversity And Place In The General Phylogeographic Structure Of Capercaillie,Tetrao Urogallus (Galliformes, Phasianidae), From Belarus
Fig. 1. Distribution of samples of the capercaillie. Black circles are samples obtained independently, black squares are mtDNA sequences (control region) downloaded from the GenBank database (see Appendix, table 1).
Fig. 3 in Analysis of biodiversity data suggests that mammal species are hidden in predictable places
Fig. 3. Consensus results of species delimitation analyses. Phylogenetic distribution of hidden diversity estimated from strict consensus of delimitation results (SI Appendix, Table S1). Each silhouette represents a mammalian order with its shadow reflecting the ratio of predicted species to recognized species. Striped silhouettes represent orders with conflicting delimitation results that were not included in the predictive analysis. Phylogeny was adapted from ref. 31.
Fig. 4 in Analysis of biodiversity data suggests that mammal species are hidden in predictable places
Fig. 4. Important predictors of hidden species in mammals. (A) From Top to Bottom, the 50 most important predictive variables (judged by MDA), for the consensus random forest classification model. In both plots, variables are color coded by life history, geographic, climatic, taxonomic, and environmental. (B) Boxplots representing values of the top predictive variables for species included in the consensus model. Values from species identified as hidden are shown at the Bottom of each plot (labeled "H"), and values from species not identified as hidden are shown Above (labeled "NH"). Outliers are excluded from boxplots.
Fig. 1 in Analysis of biodiversity data suggests that mammal species are hidden in predictable places
Fig. 1. Predictive modeling workflow. The framework proposed for identifying named mammal species that are likely to contain hidden diversity utilizes barcoding gene sequences and machine learning models built from environmental, geographic, climatic, taxonomic, and life history variables.
Fig. 2 in Analysis of biodiversity data suggests that mammal species are hidden in predictable places
Fig. 2. Scope of the dataset. Genetic sequences for ∼70% of currently recognized mammalian species were obtained. All mammalian orders are represented, with 23 orders containing sequences from both COI and cytb and 4 having only sequences from cytb. (A) Circle plots reflect species representation for the COI and cytb genes in each order. Dark bars represent the species present in the dataset and light bars represent species for which no genetic data are available. (B) Blue bars represent the proportion of the sequence database represented by each order, and gray bars represent the proportion of recognized species in each order. (C) A total of 3,205,630 geographic occurrence records were obtained for species present in the genetic database.
Fig. 2 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 2. Grouping of species distribution by demonstration of aggressive behavior at watering places in the State Arboretum "Alexandria".
Fig. 6 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 6. Rating of success of attack and defense of birds in biological educational and research institution "Vakalivschyna".
Fig. 3 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 3. Grouping of species distribution by demonstration of aggressive behavior at watering places in biological educational and research institution "Vakalivschyna".
Fig. 1 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 1. Grouping of species distribution by demonstration of aggressive behavior at watering places in Kaniv Nature Reserve.
Data from: Texas field crickets (Gryllus texensis) use visual cues to place learn but perform poorly when intra- and extra-maze cues conflict
<p>Central place foraging field crickets are an ideal system for studying the adaptive value of learning and memory, but more research is needed on ecology-relevant cognition in these invertebrates. Here, we test the visuospatial place learning of Texas field crickets (<em>Gryllus texensis</em>) in a radial arm maze. Our study expands previous work on <em>G. texensis</em> cognition for accuracy measures and extends our previous findings on females to both sexes. Additionally, our study examines whether crickets use intra- or extra-maze cues to locate a food reward using a maze rotation putting the cues in conflict. We found that male and female crickets improved performance over trials when measured by accuracy variables but not latency variables; thigmotaxis negatively impacted performance in both sexes. In a reward-absent trial, both male and female crickets demonstrated place memory. When intra- and extra-maze cues conflicted during a rotation trial, crickets' performance was not better than chance. Our rotation results suggest that crickets may experience reciprocal overshadowing of conflicting cues – a result most often seen in other taxa with conflicting multi-modal cues. We conclude that crickets do not rely solely on: (1) a single-cue association; (2) route-following; or (3) their own scent cues to navigate the maze. Instead, male and female Texas field crickets seem to learn the location of the reward using a combination of proximal and distal cues. The possibility to test large numbers of wild-caught or laboratory-reared individuals opens the door to future investigations on the evolutionary ecology of visuospatial learning in these invertebrates.</p>
Historical Mine Register & Place Gazetteer: Schwaz / Rottenburg / Rattenberg, Tyrol; 17th Century
<p>The data of the historical registers is based on the historical document “Bergbeschau Schwaz/Rottenburg/Rattenberg” of the 17<sup>th</sup> century (approx. 1666). The document is currently stored by the Salinenarchiv Bad Ischl) using the Identifier XXD6.The document contains 6 coloured maps of the mining areas in the mining district of Schwaz (Falkenstein, Ringenwechsel, Mehren/Merach, Reichental, Palleiten) as well as the mining district of Rattenberg (Groß-, Kleinkogel, Geyer). Furthermore, it contains detailed mine descriptions and localisations of the mines in the maps.</p> <p>Historical Mine Register: Sorting is done by mining area, main pit / mine and associated mine sections. The historical writings of the mines and mine sections are summarized in separate columns (alternate writing). Mines written in capital letters symbolize latin characters within the historical document. All mines received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the mines also received a standard spelling (mine_name_standard). The mentioned mines were compared to two geological maps created by Herwig Pirkl (1961). Mines that could be also be georeferenced by comparison also received a geo_link to OpenStreetMap as well as HIK (‘Historische Kartenwerke Tirol’). Finally, the historical mines of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.</p> <p>The historical place gazetteer is in alphabetical order by place_standard. The historical writings of the place names are summarized in a separate column (alternate writing). Places written in capital letters symbolize latin characters within the historical document. All places received an Identifier and URIs which lead to a Knowledge Graph (graph_Link). In a separate column the places received their current standard spelling (place_standard). Places that could be also be georeferenced also received coordinates as well as a geo_link to OpenStreetMap. Finally, the historical places of the “Bergbeschau” are also linked to the Knowledge Graph TMMMT (DOI: 10.5281/zenodo.6276586) of the UIBK Project „Text Mining Medieval Mining Texts“, whenever possible.</p>
List of place names in Welkait (Tigray, Ethiopia), as recorded in 1939
<p>There are attempts to offer a <em>post-hoc</em> justification of the military conquest and ethnic cleansing of Western Tigray by the combined Ethiopian, Eritrean, and Amhara forces in late 2020. For this purpose, an "eternal Amharic character" of Welkait and the surrounding districts is invoked. Historical records, however, show a typical Tigrayan rural landscape. We analysed the notebooks of ethnographer Giovanni Ellero, holding field notes from Welkait in the 1930s and extracted a list of 574 place names as recorded by Ellero and his translators. The etymology of almost all place names is of Tigrinya origin, with a few of Oromo, Falasha, Arab or biblical origin. In the whole list of place names, there are less than ten locations that in 1939 held a name of Amharic origin. More specifically, among the 574 place names, there are 229 “’Addi …” (village in Tigrinya) and 49 “May …” (water).</p>
Text-fig. 1. Localities of investigated species. Black dots represent places where forms were found. 1 – Hirzhevo, 2 – Myrne, in The Ultrastructure Of The Tooth Enamel Of Small Equus Of The "Tarpan" Group And Their Possible Phylogenetic Connections
Text-fig. 1. Localities of investigated species. Black dots represent places where forms were found. 1 – Hirzhevo, 2 – Myrne,
Fig. 4 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 4. Male pleon of species of Aiyunamon, new genus, and Eosamon smithianum (Kemp, 1923). A, A. daiae (Zhang & Sun, 2020), NNU 190503; B, A. lushuiense (Dai & Chen, 1985), NNU 148401; C, A. tengchongense (Dai & Chen, 1985), NNU 193261; D, A. tumidum (Wood-Mason, 1871), IZCAS CB11382; E, E. smithianum, ZRC 1990.498.
Fig. 6 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 6. Vulvae of species of Aiyunamon, new genus, and Eosamon smithianum (Kemp, 1923). A, A. daiae (Zhang & Sun, 2020), NNU 190505; B, A. lushuiense (Dai & Chen, 1985), NNU 282103; C, A. tengchongense (Dai & Chen, 1985), NNU 282202; D, A. tumidum (Wood-Mason, 1871), IZCAS CB11383; E, E. smithianum, ZRC 1990.498.
Fig. 3 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 3. Frontal view of carapace of species of Aiyunamon, new genus, and Eosamon smithianum (Kemp, 1923). A, A. daiae (Zhang & Sun, 2020), NNU 190503; B, A. lushuiense (Dai & Chen, 1985), NNU 148401; C, A. tengchongense (Dai & Chen, 1985), NNU 193261; D, A. tumidum (Wood-Mason, 1871), IZCAS CB11382; E, E. smithianum, ZRC 1990.498.
Fig. 1 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 1. Distribution of Aiyunamon species. Species occurrence records were obtained through long-term field surveys by the Chinese authors.
Fig. 5 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 5. Male first gonopod (G1) of species of Aiyunamon, new genus, and Eosamon smithianum (Kemp, 1923). A, F, A. daiae (Zhang & Sun, 2020), NNU 190503; B, G, A. lushuiense (Dai & Chen, 1985), NNU 148401; C, H, A. tengchongense (Dai & Chen, 1985), NNU 193261; D, I, A. tumidum (Wood-Mason, 1871), IZCAS CB11382; E, J, E. smithianum, ZRC 1990.498. A–D, right G1, dorsal view; F–I, right G1, ventral view; E, J, left G1, dorsal and ventral views, respectively (laterally transposed for comparisons).
Fig. 2 in Aiyunamon, a new genus for southern Chinese potamid species previously placed in Eosamon Yeo & Ng, 2007 (Decapoda: Brachyura: Potamidae)
Fig. 2. Overall habitus of species of Aiyunamon, new genus, and Eosamon smithianum (Kemp, 1923). A, A. daiae (Zhang & Sun, 2020), NNU 190503; B, A. lushuiense (Dai & Chen, 1985), NNU 148401; C, A. tengchongense (Dai & Chen, 1985), NNU 193261; D, A. tumidum (Wood-Mason, 1871), IZCAS CB11382; E, E. smithianum, ZRC 1990.498.
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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.