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Table 1 in A new species of the genus Amerila Walker, 1855 from Tanzania (Lepidoptera: Erebidae: Arctiinae: Amerilini)
<p><b>Table 1.</b> Taxonomic information and GenBank COI accession numbers of the taxa included in this study.</p><table><tbody><tr><th>Species</th><th>Specimen</th><th>Origin</th><th>GenBank COI Acc. №</th><th>References</th></tr></tbody><tbody><tr><th><i>Amerila mulleri</i></th><td>CAM_101</td><td>Cameroon</td><td>MG596292</td><td>Przybylowicz <i>et al.</i> 2019a</td></tr><tr><td>CAM_102</td><td>Cameroon</td><td>MG596293</td><td>Przybylowicz <i>et al.</i> 2019a</td></tr><tr><td>CAM_158</td><td>Cameroon</td><td>MG596294</td><td>Przybylowicz <i>et al.</i> 2019a</td></tr><tr><td>CAM_159</td><td>Cameroon</td><td>MG596295</td><td>Przybylowicz <i>et al.</i> 2019a</td></tr><tr><th><i>Amerila magnifica</i></th><td>ANLMN3308-21 ANLMN3309-21</td><td>Mozambique Mozambique</td><td>OM158448 OM158446</td><td>This study This study</td></tr><tr><th><i>Amerila francesae</i> <b>sp.n.</b></th><td>NI141</td><td>Tanzania</td><td>OM169367</td><td>This study</td></tr><tr><td>ANLMN3427-21</td><td>Tanzania</td><td>OM158447</td><td>This study</td></tr><tr><th><i>Catocala semirelicta hippolyta</i></th><td>ABCNA001-06</td><td>USA, California</td><td>MF126536</td><td>Zahiri <i>et al.</i> 2017</td></tr><tr><th><i>Miltochrista miniata</i></th><td>ABOLA123-14.COI-5P</td><td>Austria</td><td>MG522231</td><td>Huemer <i>et al.</i> 2018</td></tr></tbody></table>
Table 2 in Demodex bialoviensis sp. nov. (Acariformes, Demodecidae) a new, specific parasite of the European bison Bison bonasus (Artiodactyla, Bovidae)
<p><b>Table 2</b> Morphometric comparison between <i>Demodex bialoviensis</i> sp. nov. and <i>Demodex bisonianus</i>.</p><table><tbody><tr><th>Feature/Species</th><th><i>Demodex bialoviensis</i> sp. nov.</th><th><i>Demodex bisonianus</i></th></tr></tbody><tbody><tr><th>Source</th><td>Present study</td><td></td><td>Kadulski and Izdebska</td></tr><tr><th></th><td></td><td></td><td>(1996)</td><td></td></tr><tr><th>Sex Sample size</th><td>Males (n =12)</td><td>Females (n =</td><td>Males</td><td>Females</td></tr><tr><th></th><td></td><td>34)</td><td>(n =</td><td>(n =20)</td></tr><tr><th></th><td></td><td></td><td>20)</td><td></td></tr><tr><th>Body total length</th><td>176</td><td>239</td><td>517, SD</td><td>534, SD</td></tr><tr><th></th><td>(158–198), SD</td><td>(200–268), SD</td><td>23 a</td><td>20 a</td></tr><tr><th></th><td>13</td><td>15</td><td></td><td></td></tr><tr><th>Body total width</th><td>31 (30–35), SD</td><td>35 (30–40), SD</td><td>63, SD 9</td><td>68, SD 9</td></tr><tr><th></th><td>2</td><td>2</td><td></td><td></td></tr><tr><th>Body length to</th><td>5.6:1</td><td>6.8:1</td><td>8.2:1b</td><td>7.9:1b</td></tr><tr><th>width ratio</th><td>(4.9–6.4:1), SD</td><td>(5.2–7.9:1), SD</td><td></td><td></td></tr><tr><th></th><td>0.6:1</td><td>0.6:1</td><td></td><td></td></tr><tr><th>Opisthosoma</th><td>62 (57–65), SD</td><td>65 (60–69), SD</td><td>68b</td><td>69b</td></tr><tr><th>length to body</th><td>2</td><td>2</td><td></td><td></td></tr><tr><th>length ratio (%)</th><td></td><td></td><td></td><td></td></tr><tr><th>Aedeagus length</th><td>21 (18–29), SD</td><td>–</td><td>33, SD 7</td><td>–</td></tr><tr><th>3</th></tr><tr><th>Vulva length</th><td>–</td><td>12 (10–17), SD</td><td>–</td><td>22, SD 2</td></tr><tr><th></th><td></td><td>2</td><td></td><td></td></tr></tbody></table><p><sup>a</sup> Measurements were rounded to the nearest micrometer with respect to the original results (Kadulski and Izdebska, 1996).</p><p><sup>b</sup> Calculated from measurements of Kadulski and Izdebska (1996).</p>
TABLE 4 in Horses in the suburbs of a medieval city - a case study from Brno (Czech Republic)
<p>TABLE 4. — Sites used in the comparison of withers height (all sites) and robusticity (excluding Vyšehrad).Abbreviation: <b>NMLB</b>, number of measured long bones included in this study.</p><table><tbody><tr><th></th><th></th><th></th><th></th><th><b>Source of</b></th></tr><tr><th><b>Site</b></th><th></th><th></th><th></th><th><b>osteometric</b></th></tr><tr><th><b>Number Site</b></th><th><b>Period NMLB data</b></th></tr></tbody><tbody><tr><th>1</th><td>Brno-</td><td>Early Modern</td><td>23</td><td>Present study</td></tr><tr><th></th><td>Křídlovická</td><td></td><td></td><td></td></tr><tr><th>2</th><td>Brno-Trnitá</td><td>Late Medieval –</td><td>55</td><td>Present study</td></tr><tr><th></th><td></td><td>Early Modern</td><td></td><td></td></tr><tr><th>3</th><td>Brno-Modřice Late Medieval –</td><td>14</td><td>Present study</td></tr><tr><th></th><td></td><td>Early Modern</td><td></td><td></td></tr><tr><th>4</th><td>Mikulčice</td><td>Early Medieval</td><td>316</td><td>Chrzanowska &</td></tr><tr><th></th><td></td><td></td><td></td><td>Krupska 2003</td></tr><tr><th>5</th><td>Nemilany</td><td>Early Medieval</td><td>20</td><td>Dreslerová 2014</td></tr><tr><th>6</th><td>Pohansko</td><td>Early Medieval</td><td>27</td><td>Kratochvíl 1969;</td></tr><tr><th></th><td></td><td></td><td></td><td>Chrzanowska &</td></tr><tr><th></th><td></td><td></td><td></td><td>Krupska 2003;</td></tr><tr><th></th><td></td><td></td><td></td><td>Dreslerová 2018</td></tr><tr><th>7</th><td>Stará Boleslav Early Medieval</td><td>5</td><td>Kyselý 2003</td></tr><tr><th>8</th><td>Vyšehrad</td><td>Early Medieval</td><td>1</td><td>Kyselý 2004</td></tr><tr><th>9</th><td>Podolí</td><td>Migration</td><td>29</td><td>Ambros & Müller</td></tr><tr><th></th><td></td><td></td><td></td><td>1980</td></tr><tr><th>10</th><td>Záluží</td><td>Migration</td><td>6</td><td>Ambros & Müller</td></tr><tr><th></th><td></td><td></td><td></td><td>1980</td></tr><tr><th>11</th><td>Zdice</td><td>Modern</td><td>25</td><td>Diedrich 2017</td></tr></tbody></table>
Supplementary Table 1 - Raw data
<p>Supplementary Table 1, including raw data of all Dietary supplements analyzed, from the article entitled "Potential health risks surrounding ingredients of pre-workout and post-workout dietary supplements – A thorough label analysis".</p>
SOIL-WATERGRIDS v1, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014, dataset and modelling
<p>SOIL-WATERGRIDS is a comprehensive data product of the monthly estimates of volumetric soil water content at three depths within the root zone and the depth of the water table globally gridded at a resolution of 0.25x025 degree per grid cell from 1970 to 2014. The SOIL-WATERGRIDS data product also provides the full-scale global model (BRTSim, https://sites.google.com/site/thebrtsimproject/home) that allows third party users to assess the entire volumetric soil water content and water table dynamics from land surface to 50 m depth. </p> <p>This package includes a Technical Documentation with the details about the use of the data product.</p>
Extended data tables to Haering and Habermann, F1000Res, RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis
<p><b>Background</b> </p> <p>RNA-seq is a widely adopted affordable method for large scale gene expression profiling. However, user-friendly and versatile tools for wet-lab biologists to analyse RNA-seq data beyond standard analyses such as differential expression, are rare. Especially, the analysis of time-series data is difficult for wet-lab biologists lacking advanced computational training. Furthermore, most meta-analysis tools are tailored for model organisms and not easily adaptable to other species.</p> <p><b>Results</b></p> <p>With RNfuzzyApp, we provide a user-friendly, web-based R-shiny app for differential expression analysis, as well as time-series analysis of RNA-seq data. RNfuzzyApp offers several methods for normalization and differential expression analysis of RNA-seq data, providing easy-to-use toolboxes, interactive plots and downloadable results. For time-series analysis, RNfuzzyApp presents the first web-based, automated pipeline for soft clustering with the Mfuzz R package, including methods to aid in cluster number selection, Mfuzz loop computations, cluster overlap analysis, as well as cluster enrichments.</p> <p><b>Conclusion</b></p> <p>RNfuzzyApp is an intuitive, easy to use and interactive R shiny app for RNA-seq differential expression and time-series analysis, offering a rich selection of interactive plots, providing a quick overview of raw data and generating rapid analysis results. Furthermore, its orthology assignment, enrichment analysis, as well as ID conversion functions are accessible to non-model organisms.</p>
Data_Table 1_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p> </p> <p>Data of Table1 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice”</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original figures as PNG-format (10.3390_metabo11070442_Tab1.PNG). Corresponding raw data and subsequent data analysis obtained from LC-MS/MS analysis provided as one file in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1_1.csv). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1_M_1.txt) in txt format, one file containing further related information in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1_2.csv), and one file containing further related information on the analysis method (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1_3.pdf) PDF format.</p>
Data_Table 3_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table 3 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original figures as PNG-format (10.3390_metabo11070442_Tab3.PNG). Corresponding raw data and subsequent data analysis obtained from LC-MS/MS analysis provided as two files in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_1.csv). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_M_1.txt) in txt format, two files containing further related information in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_2.csv), and two files containing further related information on the analysis method (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_3.pdf) PDF format.</p>
Data_Table 2_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table 2 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original figures as PNG-format (10.3390_metabo11070442_Tab2.PNG). Corresponding raw data and subsequent data analysis obtained from LC-MS/MS analysis provided as one file in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_2_1.csv). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_2_M_1.txt) in txt format, one file containing further related information in CSV format (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_2_2.csv), and one file containing further related information on the analysis method (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_2_3.pdf) PDF format.</p>
Data_Table S1_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table S1 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice.</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original figures as PNG-format (10.3390_metabo11070442_TabS1.PNG). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_M_1.txt) in txt format and two files containing further related information on the analysis method (31003A_179400_10.3390_metabo11070442_CGC_AE-BileAcids_4_1-2_1.pdf) PDF format.</p>
Data_Table S2_Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice
<p>Data of Table S2 from Impact on Bile Acid Concentrations by Alveolar Echinococcosis and Treatment with Albendazole in Mice.</p> <p>The Dataset (doi: 10.3390_metabo11070442) contains the original Table as PNG-format (10.3390_metabo11070442_TabS2.PNG). All further experiment related information provided as one meta-data-file (31003A_179400_10.3390_metabo11070442_FJ_AE-BileAcids_3_4_M_1.txt) in txt format.</p>
Supplementary tables from "From genes to communities: an integrative approach to the evolution of Varanidae"
<p>Supplementary tables for thesis submitted for the degree of Doctor of Philosophy of The Australian National University</p>
Images, graphs and tables from the article: Biological performance of a bioabsorbable Poly (L-Lactic Acid) produced in polymerization unit: in vivo studies -
<p>The images, graphs and tables attached correspond to the study performed in the thesis project on the in vivo biocompatibility of the PLLA polymer produced.</p>
GloSAT Historical Measurement Table Dataset
<p>Dataset containing scanned historical measurement table documents from ship logs and land measurement stations. Annotations provided in this dataset are designed to allow finergrained table detection and table structure recognition models to be trained and tested. Annotations are region boundaries for tables, cells, headings, headers and captions.</p> <p>This dataset release includes code to train models on a training split, to use trained model checkpoints for inference and to evaluate interred results on a test split. Pretrained models used in the published HIP-2021 paper are included in the dataset so results can be easily reproduced without training the model checkpoints yourself.</p> <p>Instructions and code can be found on the linked github repository https://github.com/stuartemiddleton/glosat_table_dataset</p> <p>A pre-print of the HIP-2021 paper can be found on the authors website https://www.southampton.ac.uk/~sem03/HIP_2021.pdf</p> <p>Original images sourced with permission from UK Met Office, US NOAA and weatheerrescue.org (University of Reading).</p> <p>This work is part of the GloSAT project https://www.glosat.org/ and supported by the Natural Environment Research Council (NE/S015604/1). The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.</p>
Text-fig. 4. Location Map of the examined water vole localities. From Masini et al. (2007), modified. 1: Madrid, surroundings, 2: Graz, 3: Eisfeld, 4: Langen, 5: Delta Po, 6: Rovigo, 7: Ferrara, 8: Calabria, 9: Caverna degli Orsi, 10: Arma delle Manie, 11: Riparo Mochi, 12: Grotta di Castelcivita, 13: Grotta della Serratura, 14: Grotta del Romito, 15: Scario Grotta Grande, 16: Grotta di Cucigliana, 17: Upper Valdarno Campitello, 18: Riparo di Visogliano, 19: Isernia La Pineta, 20: Baume Gigny, 21: Baume Moula Guercy, 22: Grotte de L'Eglise, 23: Grotte-Abri Suard, 24: Grotte d'Artenac, 25: Pié Lombard, 26: Abri Vaufrey, 27: Grotte du Lazaret, 28: Abri Gaudry, 29: Pisede, 30: Euerwanger Bühl, 31: Kemathenhöhle, 32: Krockstein (Rübeland 1), 33: Burgtonna, 34: Parkhöhle (Weimar), 35: Stuttgart- Untertürkheim, 36: Taubach, 37: Ehringsdorf, 38: Plaidter-Hummerich, 39: Mosbach, 40: Petersbuch 1, 41: Bilzingsleben, 42: Miesenheim 1, 43: Voigtstedt, 44: Untermassfeld. See Table 1 for symbol explanations. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 4. Location Map of the examined water vole localities. From Masini et al. (2007), modified. 1: Madrid, surroundings, 2: Graz, 3: Eisfeld, 4: Langen, 5: Delta Po, 6: Rovigo, 7: Ferrara, 8: Calabria, 9: Caverna degli Orsi, 10: Arma delle Manie, 11: Riparo Mochi, 12: Grotta di Castelcivita, 13: Grotta della Serratura, 14: Grotta del Romito, 15: Scario Grotta Grande, 16: Grotta di Cucigliana, 17: Upper Valdarno Campitello, 18: Riparo di Visogliano, 19: Isernia La Pineta, 20: Baume Gigny, 21: Baume Moula Guercy, 22: Grotte de L'Eglise, 23: Grotte-Abri Suard, 24: Grotte d'Artenac, 25: Pié Lombard, 26: Abri Vaufrey, 27: Grotte du Lazaret, 28: Abri Gaudry, 29: Pisede, 30: Euerwanger Bühl, 31: Kemathenhöhle, 32: Krockstein (Rübeland 1), 33: Burgtonna, 34: Parkhöhle (Weimar), 35: Stuttgart- Untertürkheim, 36: Taubach, 37: Ehringsdorf, 38: Plaidter-Hummerich, 39: Mosbach, 40: Petersbuch 1, 41: Bilzingsleben, 42: Miesenheim 1, 43: Voigtstedt, 44: Untermassfeld. See Table 1 for symbol explanations.
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 3 Ternary diagram of the relative abundance (in %) of juvenile, prime adult, and old adult specimens in samples of Castor fiber (data from Table 3). The red dots indicate the Pleistocene samples of Bilzingsleben II (B), Weimar- Ehringsdorf (E), and Weimar-Taubach (T), the black dot represents an extant population from Telemark in Norway (data from Campbell 2009). Abbreviations of zones (after Discamps and Costamagno 2015): JOP – Juveniles-Old-Prime dominated zone, JPO – Juveniles-Prime-Old dominated zone, O – Old dominated zone, P – Prime dominated zone. The diagram shows the position of all three fossil samples in the prime dominated zone.
Text-fig. 4. Mortality profile (relative abundance of age groups) of Trogontherium based on dp4 and p4 from the fossil sites of Bilzingsleben II, Mosbach 2 and Tegelen. Data from Table 4. in Mortality Profiles Of Castor And Trogontherium (Mammalia: Rodentia, Castoridae), With Notes On The Site Formation Of The Mid-Pleistocene Hominin Locality Bilzingsleben Ii (Thuringia, Central Germany)
Text-fig. 4. Mortality profile (relative abundance of age groups) of Trogontherium based on dp4 and p4 from the fossil sites of Bilzingsleben II, Mosbach 2 and Tegelen. Data from Table 4.
Text-fig. 4. Occurrence of P3 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 4. Occurrence of P3 in maxillae from Deninger bears and cave bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken).
Text-fig. 2. Occurrence of P3 in maxillae from brown bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 2. Occurrence of P3 in maxillae from brown bears, data after Table 1 (presence = P3 or alveoli observed, absence = no P3 developed, broken = caudal part of maxilla broken).
Text-fig. 8. Occurrence of p3 in mandibles from Deninger bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented). in Anterior Premolar Variability In Pleistocene Cave And Brown Bears And Its Significance In Species Determination
Text-fig. 8. Occurrence of p3 in mandibles from Deninger bears, data after Table 3 (presence = p3 or alveoli observed, absence = no p3 developed, broken = diastema fragmented).
ScienceDex guides
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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.