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3,101 results for “Historical”
FIGURE 6 in Taxonomic implications of anatomical characteristics of the genus Tulipa (Liliaceae) in Turkey and their place in the historical subgeneric classifications
FIGURE 6. Results of principle component analysis of subgenus Eriostemones.
FIGURE 4 in Taxonomic implications of anatomical characteristics of the genus Tulipa (Liliaceae) in Turkey and their place in the historical subgeneric classifications
FIGURE 4. Results of principle component analysis of all taxa.
Raw allelic matrix and supplementary materials: Origin and dispersion pathways of guava in the Galapagos Islands inferred through genetics and historical records
<p>Guava (<i>Psidium guajava</i>) is an aggressive invasive plant in the Galapagos Islands. Determining its provenance and genetic diversity could explain its adaptability and spread, and how this relates to past human activities. With this purpose, we analyzed 11 SSR markers in guava individuals from Isabela, Santa Cruz, San Cristobal and Floreana islands in the Galapagos, as well as from mainland Ecuador. The mainland guava population appeared genetically differentiated from the Galapagos populations, with higher genetic diversity levels found in the former. We consistently found that the Central Highlands region of mainland Ecuador is one of the most likely origins of the Galapagos populations. Moreover, the guavas from Isabela and Floreana show a potential genetic input from southern mainland Ecuador, while the population from San Cristobal would be linked to the coastal mainland regions. Interestingly, the proposed origins for the Galapagos guava coincide with the first human settlings of the archipelago. Through Approximate Bayesian Computation, we propose a model where San Cristobal was the first island to be colonized by guava from the mainland, then it would have spread to Floreana and finally to Santa Cruz; Isabela would have been seeded from Floreana. An independent trajectory could also have contributed in the invasion of Floreana and Isabela. The pathway shown in our model agrees with the human colonization history of the different islands in the Galapagos. Our model, in conjunction with the clustering patterns of the individuals (based on genetic distances), suggests that guava introduction history in the Galapagos archipelago was driven by either a single event or a series of introduction events in rapid succession. We thus show that genetic analyses supported by historical sources can be used to track the arrival and spread of invasive species in novel habitats and the potential role of human activities in such processes.</p>
Figure 2 from: Fariselli R, Speranza M, Aleffi M (2017) Bryological flora of the regional historic Park of Monte Sole (Emilia-Romagna, Italy). Italian Botanist 3: 99-108. https://doi.org/10.3897/ib.3.12663
Figure 2 - Cartographic grid of the Emilia-Romagna administrative region and, in detail, of the Park of Monte Sole.
Supplementary material 2 from: Yang L, Huang M, Zhang R, Lv J, Ren Y, Jiang Z, Zhang W, Luan X (2016) Reconstructing the historical distribution of the Amur Leopard (Panthera pardus orientalis) in Northeast China based on historical records. ZooKeys 592: 143-153. https://doi.org/10.3897/zookeys.592.6912
Records in different periods from new gazetteers records :
Supplementary material 1 from: Yang L, Huang M, Zhang R, Lv J, Ren Y, Jiang Z, Zhang W, Luan X (2016) Reconstructing the historical distribution of the Amur Leopard (Panthera pardus orientalis) in Northeast China based on historical records. ZooKeys 592: 143-153. https://doi.org/10.3897/zookeys.592.6912
Distribution information from new gazetteers records and from other resources :
Figure 2 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 2 - Dendogram with Atlantic Forest regions based on their bird community using Hierarchical Cluster Analysis (Mountford's distance coefficient; a) and the Principal Coordinate Analysis of these areas (b). 1 = Morro do Diabo State Park; 2 = Mata dos Godoy State Park; 3 = Caetetus Ecological Station; 4 = Rio Claro Farm; 5 = Intervales State Park; 6 = Barreiro Rico Ecological Station; 7 = Carlos Botelho State Park; 8 = Ilha Comprida; 9 = Morro Grande Reserve; 10 = Porto Ferreira (Porto Ferreira and Vassununga State Parks); 11 = Serra da Cantareira; 12 = Boracéia Biological Station; 13 = Campos do Jordão (composed by Mananciais de Campos do Jordão and Campos do Jordão State Parks); 14 = Ubatuba; 15 = Itatiaia National Park.
Figure 3 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 3 - Number of species reported by different sources during different periods in Serra da Cantareira. Museums: specimens deposited in ornithological collections between 1901 and 1992; Graham: Graham 1992; Authors: species recorded by the authors during unsystematic surveys; WA: WikiAves 2016; XC: Xeno-Canto 2016; Recent literature: Figueiredo and Loo 2000, Develey and Endrigo 2004, Fonseca and Antunes 2007, Antunes et al. 2008a, 2008b, 2009, Antunes and Eston 2009, 2012, Minns et al. 2009, Dersa 2010, Ikuta and Martins 2013, Lemos 2014, Cavarzere and Tonetti 2015. All recent encompasses records obtained in recent literature cited above as well as specimens deposited in museuns after the work performed by Graham (1992) and species recorded by the authors
Figure 1 from: Tonetti VR, Rego MA, De Luca AC, Develey PF, Schunck F, Silveira LF (2017) Historical knowledge, richness and relative representativeness of the avifauna of the largest native urban rainforest in the world. Zoologia 34: 1-18. https://doi.org/10.3897/zoologia.34.e13728
Figure 1 - Serra da Cantareira locations surveyed in this study. In the urban slope are Cantareira State Park admnistrative zones and their trails: AC = Águas Claras; PG = Pedra Grande; Eng = Engordador; Cab = Cabuçu; EL = Estrada do Lenhador; Alberto Löfgren State Park (ALSP) and A2. In the inner slope are A1, A3, A4, A5 and SC = Sítio Capuavinha private reserve.
Figure 9 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 9 - Top: to retrieve a scanned BHL book document from BHL click on the "Download Contents" icon on the top-right and select to browse the corresponding web page on the Internet Archive ("View at Internet Archive"). Bottom: The link to the jpeg2000 (JP2) image is found on the bottom right. Sources: top: http://biodiversitylibrary.org/page/9663476; bottom: https://archive.org/details/mittheilungenaus17staz.
Figure 3 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 3 - Examples of stylistic and typographic elements in legacy publications that delay the structured extraction of data: a) ranges or more than one value in one field; b) non-metric units which have to be converted to the SI system; c and d) unclear meaning of symbols; e) font type may cause problems in reading and/or optical character recognition (e.g. misinterpreting an "e" as "c" or "o"; "ll" as "11" or "U", "C" as "C" or "O") (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 10 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 10 - Open Data: an emerging landscape of data and other academic publications (based on a slide by Dmitry Schigel).
Figure 8 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 8 - Plazi workflow: from the publication through different levels of data processing to final availability of structured data.
Figure 5 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 5 - Biodiversity related articles and instructions to the authors available on the Biodiversity Literature Repository home page.
Figure 2 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 2 - Stations without coordinates (red box) are commonly listed, as well as non-SI units, here: depth as fathoms (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 4 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 4 - Complex natural language features that can lead to incorrect species-occurrence extraction (based on a slide by Aglaia Legaki, Gabriella Papastefanou and Marilena Tsompanou).
Figure 6 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 6 - Calman (1906) is available in BLR as https://zenodo.org/record/14941. The taxonomic treatment of Leucon longirostris G.O. Sars (shown above) extracted from this expedition document is also avaible in BLR: https://zenodo.org/record/14942. Both links have unique DOIs assigned to them and thus are also retrievable as https://doi.org/10.5281/zenodo.14941, and https://doi.org/10.5281/zenodo.14942, accordingly.
Figure 1 from: Faulwetter S, Pafilis E, Fanini L, Bailly N, Agosti D, Arvanitidis C, Boicenco L, Catapano T, Claus S, Dekeyzer S, Georgiev T, Legaki A, Mavraki D, Oulas A, Papastefanou G, Penev L, Sautter G, Schigel D, Senderov V, Teaca A, Tsompanou M (2016) EMODnet Workshop on mechanisms and guidelines to mobilise historical data into biogeographic databases. Research Ideas and Outcomes 2: e10445. https://doi.org/10.3897/rio.2.e10445
Figure 1 - Workflow depicting the process of manually extracting data from legacy literature workflow, as currently performed in in EMODnet WP4. Abbreviations: OCR = Optical Character Recognition; OBIS = Ocean Biogeographic Information System; DwC = Darwin Core; IPT = Integrated Publishing Toolkit; medOBIS = Mediterranean Ocean Biogeographic Information System, GBIF = Global Biodiversity Information Facility
Figure 5 from: Miralles A, Köhler J, Glaw F, Vences M (2016) Species delimitation methods put into taxonomic practice: two new Madascincus species formerly allocated to historical species names (Squamata, Scincidae). Zoosystematics and Evolution 92(2): 257-275. https://doi.org/10.3897/zse.92.9945
Figure 5 - Distribution maps for Madascincus species. Colored dots are representing localities sampled in the molecular studies by Miralles and Vences (2013), whereas white dots are representing localities of specimens only identified by morphology, and/or type localities. For Madascincus polleni, another locality has been added based on a recent paper from Rakotoarison et al. (2015), who have collected an additional specimen (ZCMV 14157) in Mitsinjo forest in north-western Madagascar (16°02'54.5"S, 45°47'24.1"E). The identity of this specimen is confirmed by both its morphological characteristics and its phylogenetic position inferred from a segment of the 16S rRNA gene (nested within the Madascincus polleni clade, and closely related to the population of Ankarafanstika, GenBank accession number KR025911). Note that for some species,especially Madascincus mouroundavae, additional verified localities exist but these are here excluded for consistency because no samples were examined in the framework of the present study.
Figure 1 from: Miralles A, Köhler J, Glaw F, Vences M (2016) Species delimitation methods put into taxonomic practice: two new Madascincus species formerly allocated to historical species names (Squamata, Scincidae). Zoosystematics and Evolution 92(2): 257-275. https://doi.org/10.3897/zse.92.9945
Figure 1 - Comparison of phylogenetic trees of the genus Madascincus based on nDNA and mtDNA sequences (modified from Miralles and Vences 2013). Nuclear DNA tree inferred from BI analysis of concatenated BDNF, CMOS, PDC and RAG2 sequences compared to the mitochondrial DNA inferred from ND1 and 16S sequences (unpartitioned data set, posterior probabilities indicated for each node, see Miralles and Vences 2013 for details of analysis methods).
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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.