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Fig. 54. Pellenes purcelli Lessert, 1915 in Jumping spiders (Salticidae) of Uganda - revised list, new species and distributional data
Fig. 54. Pellenes purcelli Lessert, 1915, ♀ (MEU). A. General appearance. B–C. Epigyne.
Fig. 34 in Jumping spiders (Salticidae) of Uganda - revised list, new species and distributional data
Fig. 34. Hyllus leucomelas (Lucas, 1858), ♀ (FSCA). A. General appearance. B. Epigyne.
Fig. 1 in Jumping spiders (Salticidae) of Uganda - revised list, new species and distributional data
Fig. 1. Location of collecting sites of salticids in Uganda.
Data and R code supporting Battison et al. (2024) New Phytologist
<p>Data and R code supporting Battison et al. (2024) <span><span>Tracking tree demography and forest dynamics at scale using remote sensing. </span></span>New Phytologist</p> <p>If using these data and/or R code in your work please cite the original publication listed above, as well as this repository using the corresponding DOI.</p> <p> </p>
Table 5. Analytical data for miscellaneously attributed samples from Broken Hill, including the Broken Hill Consols Mine. a in Compositions of silver halides from the Broken Hill district, New South Wales
<p><b>Table</b> 5. Analytical data for miscellaneously attributed samples from Broken Hill, including the Broken Hill Consols Mine.a</p><table><tbody><tr><th>No.</th><th><b>Analyses</b></th></tr></tbody><tbody><tr><th>D46338b</th><td>Cl</td><td>60</td><td>57</td><td>57</td><td>53</td><td>56</td><td>57</td><td>58</td><td>68</td><td>56</td><td>66</td><td></td></tr><tr><th></th><td>Br</td><td>32</td><td>35</td><td>34</td><td>37</td><td>35</td><td>34</td><td>32</td><td>31</td><td>35</td><td>33</td><td></td></tr><tr><th></th><td>I</td><td>8</td><td>8</td><td>9</td><td>10</td><td>9</td><td>9</td><td>10</td><td>1</td><td>9</td><td>1</td><td></td></tr><tr><th>D26168c</th><td>Cl</td><td>72</td><td>76</td><td>63</td><td>65</td><td>60</td><td>77</td><td>77</td><td>72</td><td>66</td><td>65</td><td></td></tr><tr><th></th><td>Br</td><td>28</td><td>24</td><td>37</td><td>35</td><td>40</td><td>22</td><td>23</td><td>28</td><td>34</td><td>35</td><td></td></tr><tr><th>D28184d</th><td>I Cl</td><td>75</td><td>68</td><td>86</td><td>70</td><td>70</td><td>1 70</td><td>78</td><td>70</td><td>84</td><td></td><td></td></tr><tr><th></th><td>Br</td><td>25</td><td>30</td><td>14</td><td>28</td><td>30</td><td>29</td><td>21</td><td>30</td><td>16</td><td></td><td></td></tr><tr><th>D28185d</th><td>I Cl</td><td>55</td><td>2 56</td><td>55</td><td>2 56</td><td>55</td><td>155</td><td>1 60</td><td>50</td><td>45</td><td>50</td><td>56</td></tr><tr><th></th><td>Br</td><td>43</td><td>43</td><td>44</td><td>43</td><td>44</td><td>43</td><td>40</td><td>46</td><td>45</td><td>45</td><td>41</td></tr><tr><th></th><td>I</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>2</td><td></td><td>4</td><td>10</td><td>5</td><td>3</td></tr></tbody></table><p>a Analyses reported as in Table I. b Trace S detected. C Traces Pb, Cu, S, As detected. d Consols Mine; traces Pb, As, S, Fe detected.</p>
Data from ONSET OF EARLY SPRING ACTIVITY BY AMPHIBIANS IN ITHACA, NEW YORK, USA
<p>This dataset was generated by conducting a search of all verifiable, research grade observations with photographs of amphibians (Category = Amphibia) in Ithaca, New York for the period 1 February to 30 April for the years 2016–2024. We constrained the search to an area within a 5 km radius of Cornell University, Ithaca, New York, USA (42.45° N, 76.48° W). The data output was modified to remove observer names as well as datafields that were extraneous to the analysis.</p>
A new pipeline for removing paralogs in target enrichment data
<p><span><span>Target enrichment (such as Hyb-Seq) is a well-established high throughput sequencing method that has been increasingly used for phylogenomic studies. Unfortunately, current widely used pipelines for analysis of target enrichment data do not have a vigorous procedure to remove paralogs in target enrichment data. In this study, we develop a pipeline we call Putative Paralogs Detection (PPD) to better address putative paralogs from enrichment data. The new pipeline is an add-on to the existing HybPiper pipeline, and the entire pipeline applies criteria in both sequence similarity and heterozygous sites at each locus in the identification of paralogs. Users may adjust the thresholds of sequence identity and heterozygous sites to identify and remove paralogs according to the level of phylogenetic divergence of their group of interest. The new pipeline also removes highly polymorphic sites attributed to errors in sequence assembly and gappy regions in the alignment. We demonstrated the value of the new pipeline using empirical data generated from Hyb-Seq and the Angiosperm 353 kit for two woody genera <i>Castanea</i> (Fagaceae, Fagales) and <i>Hamamelis</i> (Hamamelidaceae, Saxifragales). Comparisons of datasets showed that the PPD identified many more putative paralogs than the popular method HybPiper. Comparisons of tree topologies and divergence times showed evident differences between data from HybPiper and data from our new PPD pipeline. We further evaluated the accuracy and error rates of PPD by BLAST mapping of putative paralogous and orthologous sequences to a reference genome sequence of<i> Castanea mollissima</i>. Compared to HybPiper alone, PPD identified substantially more paralogous gene sequences that mapped to multiple regions of the reference genome (31 genes for PPD compared with 4 genes for HybPiper alone). In conjunction with HybPiper, paralogous genes identified by both pipelines can be removed resulting in the construction of more robust orthologous gene datasets for phylogenomic and divergence time analyses. Our study demonstrates the value of Hyb-Seq with data derived from the Angiosperm 353 probe set for elucidating species relationships within a genus, and argues for the importance of additional steps to filter paralogous genes and poorly aligned regions (e.g., as occur through assembly errors), such as our new PPD pipeline described in this study.</span></span></p>
Arundinella tengchongensis (Poaceae), a name at new rank and newly combined based on morphological and molecular data
To clarify the taxonomic status of Arundinella setosa var. tengchongensis and its relationships with A. setosa var. setosa and other related species, molecular phylogenetic analyses based on nuclear ITS and two plastid DNA (matK and trnL-F) sequences, and morphological comparisons using one-way ANOVA were carried out. Our results reveal that A. setosa var. tengchongensis is recovered within a different clade and separated from the type variety. Morphologically, A. setosa var. tengchongensis can be easily distinguished from A. setosa var. setosa and other varieties by its smaller spikelets, shorter awns, and bearded nodes. Thus, A. setosa var. tengchongensis is here elevated to the species rank and newly combined as A. tengchongensis.
Data for "How Contagious was the Panic of 1907? New Evidence from Trust Company Stocks"
<p>This deposit provides the data for replicating the figures and table in the paper "How Contagious was the Panic of 1907? New Evidence from Trust Company Stocks". The full access is available upon request before June 2022. The complementary code is stored in a separate deposit (10.5281/zenodo.4739416).</p>
CoronaNetDataScience/corona_tscs: Releasing new data fields in event dataset
<p>Original data collection of PHSM began on March 28, 2020. Since then, governments have implemented a wide variety of PHSM often with increasing nuance (e.g. with regards to the geographic or demographic targets of a given policy). While Version 1.0 of the dataset only released data from questions in the original survey, Version 1.1 releases data from new questions that have been added over the course of first year of data collection. For more information about the additional fields and options added to the dataset, please see our codebook</p> <ol> <li>update_level_var: More detailed information as to what dimension of a policy is being updated (i.e., strengthened or relaxed)</li> <li>pdf_link: Link to PDF of the original source used to document a policy</li> <li>institution_cat: Information as to whether a business or government service is considered essential or non-essential according to the government entity in charge of implementing a given PHSM</li> <li>institution_conditions: Information about what conditions a school, business or government service is allowed to open under (e.g., limited number of people allowed on premises)</li> <li>type_new_admin_coop: Information about the nature of a given cooperative effort if different governments decide to cooperate with each other (e.g. country A cooperates with country B)</li> <li>COVID-19 Vaccines: We have added new questions to capture various dimensions of the global COVID-19 Vaccine rollout including information on:</li> </ol> <ul> <li>The manufacturing firm (type_vac_cat)</li> <li>Whether vaccines are allowed to be mixed and matched (type_vac_mix)</li> <li>The regulatory status of a given COVID-19 vaccine (type vac reg)</li> <li>Information on the type of purchase order for COVID-19vaccines (type_vac_purchase)</li> <li>Information on the overall criteria used for deciding how to administer COVID-19 vaccines (type vac group).</li> <li>Information on the number of priority groups for COVID-19 Vaccine distribution, given that this is the criteria used for deciding how to administer COVID-19 vaccines (type_vac_group_rank)</li> <li>Information as to where COVID-19 vaccines are being administered (type_vac_loc)</li> <li>Information as to who is responsible for the economic cost of a given COVID-19 vaccine shot (type_vac_who_pays)</li> <li>Information as to what entity has been placed in primary charge for the COVID- 19 vaccination process (type_vac_dist_admin)</li> <li>Information as to the monetary resource devoted for a given COVID-19 vaccine policy ( typ_vac_cost_num, type_vac_cost_unit, type_vac_cost_scale, type_vac_gov_perc)</li> <li>Information as the volume of COVID-19 vaccines (e.g. shots) in question for a given COVID-19 vaccine policy (type<em>va</em> amt_num, type_vac_amt_unit, type_vac_amt_scale, type_vac_amt_gov_perc)</li> </ul> <ol> <li>target_init_same: Whether the geographic target of a policy is the same as the policy initiator (e.g. target init same ==0 if lockdown policy implemented by government A in country A while target init same ==1 if an external border restrictions is im- plemented by government A against country B)</li> <li>target_intl_org: Which international organization a policy is targeted to, if applicable. 11</li> <li>target_who_gen: Information as to what special populations (e.g. asylum seekers, in- digenous peoples) a policy targets, if applicable</li> <li>date_end_spec: Qualitative information on a policy's end date</li> </ol>
Figure 12 in On Brazilian Helobata Bergroth, 1888 (Coleoptera: Hydrophilidae) II: new distribution data
Figure 12. Updated distribution map of the Helobata Bergroth species in Brazil based on Fernández & Bachmann (1987), Clarkson et al. (2016) and the current work.
Figures 1-6 in On Brazilian Helobata Bergroth, 1888 (Coleoptera: Hydrophilidae) II: new distribution data
Figures 1-6. Helobata quatipuru Fernández & Bachmann. Habitus, (1) dorsal view, (2) ventral view, scale = 2.0 mm; aedeagus, (3) ventral view, (4) dorsal view, (5) lateral view, scale = 0.5 mm; abdominal ventrites, (6) ventral view, scale = 1.0 mm.
Figures 7-11 in On Brazilian Helobata Bergroth, 1888 (Coleoptera: Hydrophilidae) II: new distribution data
Figures 7-11. (7-8) Helobata amazonensis Clarkson, Santos & Ferreira-Jr. Habitus, (7) dorsal view, (8) ventral view, scale = 2.0 mm; (9-11) Helobata sp. Habitus, (9) dorsal view, (10) ventral view, scale = 2.0 mm; abdominal ventrites, (11) ventral view, scale = 1.0 mm.
Raw data: The NEOtrap – en route with a new single-molecule technique
<p>NEOtrap raw data shown in:</p> <p>The NEOtrap – en route with a new single-molecule technique. Schmid, Dekker (2021) iScience.</p> <p>Incl. bead trapping and ClpP trapping as specified.</p>
Figs. 13-14 in Andrena (Suandrena) portosanctana COCKERELL, 1922 and A. (Suandrena) maderensis COCKERELL, 1922 - new taxonomical and ecological data for two closely related endemic bee species of the Madeira Archipelago, Portugal
Figs. 13-14: A. portosanctana genital (13) front view, (14) sideview; photos: L. Haitzinger.
Fig. 45 in Addition to Linzer biol. Beitr. 41 1803-1816 New data on the distribution of some Megachilinae (Hymenoptera Apoidea Megachilidae) in Romania Part 2 Maps
Fig. 45: Records of Coelioxys quadridentata in Romania
Fig. 40 in Addition to Linzer biol. Beitr. 41 1803-1816 New data on the distribution of some Megachilinae (Hymenoptera Apoidea Megachilidae) in Romania Part 2 Maps
Fig. 40: Records of Coelioxys elongata in Romania
Fig. 47 in Addition to Linzer biol. Beitr. 41 1803-1816 New data on the distribution of some Megachilinae (Hymenoptera Apoidea Megachilidae) in Romania Part 2 Maps
Fig. 47: Records of Coelioxys rufocaudata in Romania
Fig. 37 in Addition to Linzer biol. Beitr. 41 1803-1816 New data on the distribution of some Megachilinae (Hymenoptera Apoidea Megachilidae) in Romania Part 2 Maps
Fig. 37: Records of Coelioxys afra in Romania
Fig. 31 in Addition to Linzer biol. Beitr. 41 1803-1816 New data on the distribution of some Megachilinae (Hymenoptera Apoidea Megachilidae) in Romania Part 2 Maps
Fig. 31: Records of Megachile octosignata in Romania
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.