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Fig. 17 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 17. The subregions and transition zone of the Ethiopian region (after Wallace 1876a).

opennotspecifiedJul 2022View details →
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Fig. 16 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 16. The subregions and transition (t.) zones of the Palearctic region (after Wallace 1876a).

opennotspecifiedJul 2022View details →
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Fig. 21 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 21. The subregions and transition zone of the Australian region.

opennotspecifiedJul 2022View details →
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Fig. 15 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 15. The subregions and transition zone of the Nearctic region (after Escalante et al. 2021).

opennotspecifiedJul 2022View details →
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Fig. 20 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 20. The subregions and transition zone of the Andean region (after Morrone 2018).

opennotspecifiedJul 2022View details →
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Fig. 19 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 19. The subregions and transition zones of the Neotropical region (after Morrone 2017).

opennotspecifiedJul 2022View details →
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Fig. 8 in Toward a terrestrial biogeographical regionalisation of the world: historical notes, characterisation and area nomenclature

Fig. 8. Map of the world showing Good's floristic regions (Good 1963, plate 4).

opennotspecifiedJul 2022View details →
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TABLE 1 in Australia's deep-water octocoral fauna: historical account and checklist, distributions and regional affinities of recent collections

<p><b>TABLE 1.</b> Summary of the number of sampling stations and depth ranges of octocoral collections during 6 biodiversity surveys in four regions in offshore Australian waters; number of sampling stations are broken down by sampling gear type (see text for references of gear types and survey codes). The numbers and depth range of sampling stations where octocoral were collected are shown separately.</p><table><tbody><tr><th>Survey region</th><th>North Tasman</th><th>South-eastern Australia</th><th></th><th></th><th></th><th>South-western Australia</th><th>North-western Australia</th><th>Overall</th><th></th></tr></tbody><tbody><tr><th>Survey year</th><td>2003</td><td></td><td>1997</td><td></td><td>2007</td><td></td><td>2008</td><td></td><td>2005</td><td></td><td>2007</td><td></td><td>1997&ndash;2008</td></tr><tr><th>Survey Code</th><td>Tan0308</td><td></td><td>SS01/97</td><td></td><td>SS02/07</td><td></td><td>TT01/08</td><td></td><td>SS10/05</td><td></td><td>SS05/07</td><td></td><td>Grand Total</td></tr><tr><th>Depth range (m)</th><td>77&ndash;1927</td><td></td><td>670&ndash;1694</td><td>105&ndash;1255</td><td>729&ndash;3950</td><td>86&ndash;1092</td><td></td><td>78&ndash;1022</td><td></td><td>77&ndash;3950</td></tr><tr><th>Number of sampling stations</th><td>Total</td><td>SP-Sample1)</td><td>Total</td><td>SP-Sample1)</td><td>TOTAL</td><td>SP-Sample1)</td><td>TOTAL</td><td>SP-Sample1)</td><td>TOTAL</td><td>SP-Sample1)</td><td>TOTAL</td><td>SP-Sample1)</td><td>TOTAL</td><td>SP-Sample1)</td></tr><tr><th></th><td>57</td><td>47</td><td>28</td><td>27</td><td>46</td><td>45</td><td>77</td><td>57</td><td>74</td><td>64</td><td>54</td><td>51</td><td>336</td><td>291</td></tr><tr><th>Beam trawl</th><td>13</td><td>10</td><td></td><td></td><td></td><td></td><td></td><td></td><td>37</td><td>30</td><td>33</td><td>30</td><td>83</td><td>72</td></tr><tr><th>CSIRO Sherman sled</th><td>16</td><td>13</td><td>27</td><td>26</td><td>46</td><td>45</td><td></td><td></td><td>37</td><td>32</td><td>12</td><td>12</td><td>138</td><td>128</td></tr><tr><th>NIWA sled</th><td>2</td><td>1</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>2</td><td>1</td></tr><tr><th>Rock dredge</th><td>1</td><td>1</td><td></td><td></td><td></td><td></td><td>1</td><td>1</td><td></td><td></td><td></td><td></td><td>2</td><td>2</td></tr><tr><th>Commercial fish trawl</th><td>15</td><td>13</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>9</td><td>9</td><td>24</td><td>23</td></tr><tr><th>Ratcatcher trawl</th><td>10</td><td>9</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>10</td><td>9</td></tr><tr><th>Dropline</th><td></td><td></td><td>1</td><td>1</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>1</td><td>1</td></tr><tr><th>ROV <i>Jason</i></th><td></td><td></td><td></td><td></td><td></td><td></td><td>76</td><td>56</td><td></td><td></td><td></td><td></td><td>76</td><td>56</td></tr></tbody></table><p>1) SP-Sample identifies the number of sampling stations from which octocorals were identified to species-level</p>

opennotspecifiedMay 2014View details →
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TABLE 3 in Australia's deep-water octocoral fauna: historical account and checklist, distributions and regional affinities of recent collections

<p><b>TABLE 3.</b> Octocoral genera sampled in&gt;5% of the 320 sampling stations, showing the number of sampling stations at which they were collected in total and by survey region and the depth range of the collections.</p><table><tbody><tr><th>Genus</th><th>Number of sampling stations</th><th>min. depth (m)</th><th>max. depth (m)</th><th>N Tasman</th><th>SE Australia</th><th>SW Australia</th><th>NW Australia</th></tr></tbody><tbody><tr><th><i>Acanthogorgia</i></th><td>35</td><td>81</td><td>1150</td><td>7</td><td>13</td><td>6</td><td>9</td></tr><tr><th><i>Anthomastus</i></th><td>41</td><td>230</td><td>1694</td><td>2</td><td>33</td><td>4</td><td>2</td></tr><tr><th><i>Anthothela</i></th><td>26</td><td>181</td><td>1525</td><td></td><td>19</td><td>6</td><td>1</td></tr><tr><th><i>Chironephthya</i></th><td>24</td><td>78</td><td>751</td><td>4</td><td></td><td>4</td><td>16</td></tr><tr><th><i>Chrysogorgia</i></th><td>66</td><td>124</td><td>2395</td><td>6</td><td>47</td><td>5</td><td>8</td></tr><tr><th><i>Corallium</i></th><td>19</td><td>311</td><td>2173</td><td>1</td><td>16</td><td>2</td><td></td></tr><tr><th><i>Dendronephthya</i></th><td>43</td><td>77</td><td>1081</td><td>3</td><td></td><td>11</td><td>29</td></tr><tr><th><i>Keratoisis</i></th><td>32</td><td>257</td><td>2898</td><td>8</td><td>24</td><td></td><td></td></tr><tr><th><i>Lepidisis</i></th><td>38</td><td>330</td><td>3950</td><td>15</td><td>21</td><td>1</td><td>1</td></tr><tr><th><i>Narella</i></th><td>37</td><td>440</td><td>2559</td><td>3</td><td>30</td><td>2</td><td>2</td></tr><tr><th><i>Pennatula</i></th><td>20</td><td>95</td><td>1273</td><td>12</td><td>1</td><td></td><td>7</td></tr><tr><th><i>Pleurogorgia</i></th><td>20</td><td>915</td><td>1525</td><td></td><td>20</td><td></td><td></td></tr><tr><th><i>Primnoisis</i></th><td>29</td><td>670</td><td>1511</td><td>1</td><td>28</td><td></td><td></td></tr><tr><th><i>Thouarella</i></th><td>37</td><td>342</td><td>1375</td><td>5</td><td>32</td><td></td><td></td></tr><tr><th><i>Tokoprymno</i></th><td>23</td><td>729</td><td>1694</td><td></td><td>23</td><td></td><td></td></tr></tbody></table>

opennotspecifiedMay 2014View details →
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SOME PROBLEMS IN THE TRANSLATION OF HISTORICAL NOVELS AND ISSUES OF THEIR ELIMINATION

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
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HYGROTHERMAL PROPERTIES OF HISTORIC BRICKS FROM VARIOUS SITES OF LATVIA

<p>There are available hygrothermal simulation tools that allow to model possible scenarios for optimization of thermal transmittance of historic wall, creating complex insulation systems. The accuracy of the results depends on the conformity of the input data to the specific design of existing wall. The properties of materials selected in the simulation tool should reflect as close as possible the properties of the wall under investigation. For theses tools to be widely applicable the material library has to include various materials from various regions, thus allowing architects, planners, real estate developers and homeowners of Latvia to use the simulation tool with greater reliance on the accuracy of the simulation results. In order to obtain a result in mathematical modelling software simulating the humidity transfer processes, which would reflect the situation as close to the real conditions as possible, the database built into the modelling software should be supplemented with materials specific to the Latvian construction periods and obtained in different locations. Dataset Contains hygrothermal parameters of 40 different historic brick samples from Latvia (Density, Porosity, Water vapor resistance factor, etc.). Standard measurement methods with some adjustments were used to determine hygrothermal parameters of brick samples. The material properties were determined for a specific reason, to be used as a input data for creation of hygrothermal simulation tool material file, in this case DELPHIN simulation tool. Therefore, some deviations from the testing standards were implemented. These deviation were developed by Dresden University of Technology (also the developers of DELPHIN simulation tool) and are described in file &quot;description.docx&quot;.</p>

opencc-by-4.0Oct 2021View details →
dryad28/100

SNP matrices and vcf files for phylogenetic, genetic structure and historical demographic analyses of Podocarpus from Hispaniola

<p><b>Aim</b><span>: </span>Hispaniola is the second largest island in the Caribbean and a hotspot of biodiversity. The island was formed by the fusion of a northern and southern palaeo-islands during the mid-Miocene (15 Ma). The historical split of Hispaniola together with repeated marine incursions during the Pleistocene are known to have influenced lineage divergence and genetic structure in a few birds and mammals, but the effect on vascular plants is less understood. The conifer genus <i>Podocarpus </i>has two species, <i>P. hispaniolensis </i>and <i>P. buchii, </i>that are endemic to the mountains of Hispaniola and are IUCN endangered. The former occurs in the mountains of the north, and the latter in the south, with a region of sympatry in the Central Cordillera. Here we evaluate the historical split of the two palaeo-islands, and repeated marine incursions as dispersal barriers to the geographical distribution of genetic diversity, genetic structure, divergence patterns, and the historical demography of the two species.</p> <p><b><span>Location</span></b><span>: Hispaniola island, Caribbean.</span></p> <p><b><span>Methods</span></b><span>: </span>Using Genotyping by Sequencing in 47 <i>Podocarpus</i> samples we identified two sets of single nucleotide polymorphisms for our analyses (74,260 and 22,657 SNPs).</p> <p><b><span>Results</span></b><span>: </span>The results show a population genetic structure that corresponds to the geographic distribution of the species in mountainous areas. <i>Podocarpus </i>in Hispaniola followed a stepping-stone colonization pattern with bottlenecks at each mountain colonization event.</p> <p><b><span>Main conclusions</span></b><span>:</span> The historical events in question did not seem to have influenced the genetic structure, diversity, or demography of <i>Podocarpus</i>, instead the current geographic barriers imposed by lowland xeric valleys did. The clear divergence between species together with the elevated within-population genetic diversity and significant genetic structure call for a multi-population <i>in situ</i> conservation of each species.</p>

opencc-zeroNov 2021View details →
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FIGURE 4 in Phylogeography and Genetic Structure in the California Giant Salamander (Dicamptodon ensatus): Impacts of current and historic landscape features

FIGURE 4. Bayesian inference skyline plot of the mtDNA control region of D. ensatus.

opennotspecifiedNov 2021View details →
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Supplementary material 2 from: Reyes-Velasco J, Goutte S, Freilich X, Boissinot S (2021) Mitogenomics of historical type specimens clarifies the taxonomy of Ethiopian Ptychadena Boulenger, 1917 (Anura, Ptychadenidae). ZooKeys 1070: 135-149. https://doi.org/10.3897/zookeys.1070.66598

Table S1

opencc-zeroNov 2021View details →
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Figure 1 from: Reyes-Velasco J, Goutte S, Freilich X, Boissinot S (2021) Mitogenomics of historical type specimens clarifies the taxonomy of Ethiopian Ptychadena Boulenger, 1917 (Anura, Ptychadenidae). ZooKeys 1070: 135-149. https://doi.org/10.3897/zookeys.1070.66598

Figure 1 Map of Ethiopia showing localities of individuals in the Ptychadena neumanni species complex used in this study. Samples with genetic data are represented by different colored circles (P. neumanni species group) or triangles (P. erlangeri species group). Stars depict the approximate type localities of P. neumanni (red), P. erlangeri (grey), and P. nana (white). A black star represents Addis Ababa, the type locality of P. largeni, a junior synonym of P. erlangeri. The approximate route of Oscar Neumann and Carlo von Erlanger's 1900 expedition in Abyssinia, during which the type specimens of all the above species were collected (except for P. largeni) is represented by a dashed line. Black arrow indicates the likely correct type locality for P. erlangeri as suggested by the authors (see Discussion).

opencc-by-4.0Nov 2021View details →
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Supplementary material 1 from: Reyes-Velasco J, Goutte S, Freilich X, Boissinot S (2021) Mitogenomics of historical type specimens clarifies the taxonomy of Ethiopian Ptychadena Boulenger, 1917 (Anura, Ptychadenidae). ZooKeys 1070: 135-149. https://doi.org/10.3897/zookeys.1070.66598

Detailed guidelines for the DNA extraction from museum specimens used in this study

opencc-zeroNov 2021View details →
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Figure 3 from: Reyes-Velasco J, Goutte S, Freilich X, Boissinot S (2021) Mitogenomics of historical type specimens clarifies the taxonomy of Ethiopian Ptychadena Boulenger, 1917 (Anura, Ptychadenidae). ZooKeys 1070: 135-149. https://doi.org/10.3897/zookeys.1070.66598

Figure 3 Phylogenetic inference of members of the Ptychadena neumanni species complex based on mtDNA and ddRAD-seq data A unrooted UPGMA tree of members of the P. neumanni species complex based on 2182 SNPs obtained with ddRAD-sequencing B unrooted Bayesian phylogenetic inference based on the complete mitochondrial genomes of members of the group C bayesian phylogenetic inference based on the concatenated sequences of the 12S and 16S rRNA and cox1. Black circles represent nodes with a posterior support of 1. Names in bold indicate type specimens, while stars indicate historical type specimens sequenced here and are color-coded as in Figure 1. Photographs represent members of the P. neumanni species complex; P. erlangeri (top), P. neumanni (bottom).

opencc-by-4.0Nov 2021View details →
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Figure 2 from: Reyes-Velasco J, Goutte S, Freilich X, Boissinot S (2021) Mitogenomics of historical type specimens clarifies the taxonomy of Ethiopian Ptychadena Boulenger, 1917 (Anura, Ptychadenidae). ZooKeys 1070: 135-149. https://doi.org/10.3897/zookeys.1070.66598

Figure 2 Comparisons of the topologies of the mitochondrial rRNA 16S (left) and ddRAD-seq (right) for members of the Ptychadena neumanni species complex. Type specimens are indicated in red in the 16S phylogeny. Red lines indicate clades that differ in their placement between 16S and ddRAD-seq, however, the assignment of individuals to a particular species is identical between datasets. Numbers at nodes represent posterior support (pp), while black dots represent nodes with posterior support of 1.

opencc-by-4.0Nov 2021View details →
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FIG. 4 in The d'Orbigny Palaeontological Collection of the National Museum of Natural History and Science, Lisbon, Portugal: Historical perspective and revision of Cretaceous Cephalopoda

FIG. 4. — Cretaceous ammonites and belemnites of the d'Orbigny Collection of the National Museum of Natural History and Science (Museu Nacional de História Natural e da Ciência): A-C, Coilopoceras requienianus (d'Orbigny, 1840) in lateral (A) and ventral (B) views, and original label (C): Nº 518/Ammonites Requienianus (d'Orb), Andar 21º [corrected] Turoniense, Terreno Cretaceo, Localidade Uchaux (Vanduse);D-F, Turrilites (Turrilites) costatus Lamarck,1801 in lateral (D) and basal (E) views, and original label (F): Nº 466/Turrilites costatus (Lamarck), Andar 20º Cenomaniense, Terreno Cretaceo,Localidade Rouen (Seine inf.re); G-J, Duvalia dilatata (de Blainville, 1827) in dorsal view (G), section (H), lateral view (I), and original label (J): Nº 351/Belemnites dilatatus (Blainville),Andar 17º Neocomiense,Terreno Cretaceo,Localidade Cheiron perto de [near of] Castellanne (Basses Alpes);K-N, Hibolithes subfusiformis(Raspail,1829) in dorsal view (K), section (L), ventral view (M), and original label (N):Nº 352/Belemnites subfusiformis (Raspail), Andar 17º Neocomiense, Terreno Cretaceo, Localidade Cheiron (Basses Alpes); O-R, Belemnitella mucronata (von Schlotheim, 1813) in dorsal view (O), section (P), ventral view (Q), and original label (R): Nº 556/Belemnitella mucronata (d'Orb), Andar 22º Senoniense, Terreno Cretaceo, Localidade Epernay (Marne). Scale bar: 2 cm.

opencc-zeroOct 2018View details →
dryad28/100

Radiation flux data of BCC-CSM-MR CMIP6 historical experiment

<p>The data is about radiation flux of BCC-CSM-MR CMIP6 historical experiment. Including SDLR(Surface Downwelling Longwave Radiation), SDSR(Surface Downwelling Shortwave Radiation), TISR(TOA incident shortwave radiation), and TOLR(TOA outgoing longwave radiation) from 1850-2014(using per month averaged data divided into 19 layers vertically, and a spatial resolution of 1°×1°).The time stability and the accuracy of the data are confirmed. Therefore, the BCC-CSM series in CMIP6 data has demonstrated climate simulation consistent with the actual situation in history.  </p>

opencc-zeroDec 2021View details →

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