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179 results for “coconut”
Utilization of Crude Coconut Oil as an Oil Base Mud to Overcome Differential Pipe Sticking in Drilling Processes when Penetrating Shale Formation
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
FIGURE 12 in A new species of Oecleus Stål (Hemiptera: Fulgoroidea: Cixiidae) from coconut in Brazil
FIGURE 12. Oecleus sergipensis, wing venation; A1—first anal vein; CuA—anterior cubitus; CuP—posterior cubitus; imintermedial transverse veinlet; ir—interradial transverse veinlet; m-cu—medio-cubital transverse veinlet; MP—posterior media; PCu—postcubitus; r-m—radio-medial transverse veinlet; RP—posterior radius; ScP—posterior subcosta.
FIGURES 9–11 in A new species of Oecleus Stål (Hemiptera: Fulgoroidea: Cixiidae) from coconut in Brazil
FIGURES 9–11. Oecleus sergipensis, male terminalia; 9, terminalia, left lateral view; 10, aedeagus and flagellum, right lateral view; 11, phallotheca apex and flagellum, caudal view.
FIGURES 1–8. Oecleus sergipensis, all male except 4 in A new species of Oecleus Stål (Hemiptera: Fulgoroidea: Cixiidae) from coconut in Brazil
FIGURES 1–8. Oecleus sergipensis, all male except 4 female; 1, dorsal view; 2, lateral view; 3, frontal view; 4, left wing; 5, head and thorax, left lateral view; 6, male terminalia, left lateral view; 7, male terminalia, left ventrolateral view (note ventral lobe of pygofer); 8, male terminalia, ventrocaudal view (note closely oppressed spines of phallotheca).
FIGURE 7 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 7. Adult male of Omolicna brunnea, A. lateral habitus, B. dorsal habitus, C. dorsal view of aedeagus, D. left lateral view of aedeagus, and E. right lateral view of aedeagus, scale = 1mm.
FIGURE 8 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 8. Adult male of Omolicna triata, A. lateral habitus, B. dorsal habitus, C. dorsal view of aedeagus, D. left lateral view of aedeagus, and E. right lateral view of aedeagus, scale = 1mm.
FIGURE 5 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 5. Aedeagus of adult male Omolicna xavieri sp. n.; A. right lateral view, B. left lateral view, and C. dorsal view.
FIGURE 4 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 4. Male terminalia of Omolicna xavieri sp. n.; A. lateral view, B. ventral view, and C. dorsal view.
FIGURE 3 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 3. Adult male Omolicna xavieri sp. n.; A. head frontal view, B. head, pronotum and mesonotum dorsal view, C. head, pronotum and mesonotum lateral view, scale=1mm.
FIGURE 2 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 2. Adult male habitus Omolicna xavieri sp. n.; A. body lateral view and B. body dorsal view (B), scale = 1mm.
FIGURE 1 in A new species of Omolicna (Hemiptera: Auchenorrhyncha: Fulgoroidea: Derbidae) from coconut palm in Costa Rica and new country records for Omolicna brunnea and Omolicna triata
FIGURE 1. Omolicna xavieri sp. n. by Stephen Cresswell (used by permission) at Monteverde, Costa Rica.
COCONUT 2.0 - Complete database
<h1>COCONUT Release Notes:</h1> <ul> <li>Updated IUPAC Names - OpenEye Lexichem</li> <li>Generated NP Classifier types - https://npclassifier.ucsd.edu</li> </ul> <h1>COCONUT (Collection of Open Natural Products) Online</h1> <p><br><a href="https://coconut.naturalproducts.net/" target="_blank" rel="noopener noreferrer">COlleCtion of Open NatUral producTs (COCONUT)</a> is an aggregated dataset comprising elucidated and predicted natural products (NPs) from open repositories. It offers a user-friendly web interface for browsing, searching, and efficiently downloading NPs. The latest database integrates more than 63 open NP resources, providing unrestricted access to data free of charge. Each entry in the database represents a "flat" NP structure, accompanied by information on its known stereochemical forms, relevant literature, producing organisms, natural geographical distribution, and <a href="https://api.naturalproducts.net/docs" target="_blank" rel="noopener noreferrer">precomputed</a> molecular properties.</p> <h3>Summary of the COCONUT database's statistics:</h3> <table> <tbody> <tr> <th>Total Molecules</th> <th>Total Collections</th> <th>Unique Organisms</th> <th>Citations Mapped</th> </tr> </tbody> <tbody> <tr> <td>695,133</td> <td>63</td> <td>53,092</td> <td> <p>34,991</p> </td> </tr> </tbody> </table> <p> </p> <h3>COCONUT was meticulously assembled from a range of public databases and primary sources, including:</h3> <table> <tbody> <tr> <th>S.No</th> <th>Database name</th> <th>Entries integrated in COCONUT</th> <th>Latest resource URL</th> </tr> </tbody> <tbody> <tr> <td>1</td> <td>AfroCancer</td> <td>390</td> <td>Fidele Ntie-Kang, Justina Ngozi Nwodo, Akachukwu Ibezim, Conrad Veranso Simoben, Berin Karaman, Valery Fuh Ngwa, Wolfgang Sippl, Michael Umale Adikwu, and Luc Meva’a Mbaze Journal of Chemical Information and Modeling 2014 54 (9), 2433-2450 <a href="https://doi.org/10.1021/ci5003697" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/ci5003697</a></td> </tr> <tr> <td>2</td> <td>AfroDB</td> <td>953</td> <td>Fidele Ntie-Kang ,Denis Zofou,Smith B. Babiaka,Rolande Meudom,Michael Scharfe,Lydia L. Lifongo,James A. Mbah,Luc Meva’a Mbaze,Wolfgang Sippl,Simon M. N. Efange <a href="https://doi.org/10.1371/journal.pone.0078085" target="_blank" rel="noopener noreferrer">https://doi.org/10.1371/journal.pone.0078085</a></td> </tr> <tr> <td>3</td> <td>AfroMalariaDB</td> <td>265</td> <td>Onguéné, P.A., Ntie-Kang, F., Mbah, J.A. et al. The potential of anti-malarial compounds derived from African medicinal plants, part III: an in silico evaluation of drug metabolism and pharmacokinetics profiling. Org Med Chem Lett 4, 6 (2014). <a href="https://doi.org/10.1186/s13588-014-0006-x" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s13588-014-0006-x</a></td> </tr> <tr> <td>4</td> <td>AnalytiCon Discovery NPs</td> <td>5,147</td> <td>Natural products are a sebset of AnalytiCon Discovery NPs <a href="https://ac-discovery.com/screening-libraries/" target="_blank" rel="noopener noreferrer">https://ac-discovery.com/screening-libraries/</a></td> </tr> <tr> <td>5</td> <td>BIOFACQUIM</td> <td>605</td> <td>Pilón-Jiménez, B.A.; Saldívar-González, F.I.; Díaz-Eufracio, B.I.; Medina-Franco, J.L. BIOFACQUIM: A Mexican Compound Database of Natural Products. Biomolecules 2019, 9, 31. <a href="https://doi.org/10.3390/biom9010031" target="_blank" rel="noopener noreferrer">https://doi.org/10.3390/biom9010031</a></td> </tr> <tr> <td>6</td> <td>BitterDB</td> <td>685</td> <td>Ayana Dagan-Wiener, Antonella Di Pizio, Ido Nissim, Malkeet S Bahia, Nitzan Dubovski, Eitan Margulis, Masha Y Niv, BitterDB: taste ligands and receptors database in 2019, Nucleic Acids Research, Volume 47, Issue D1, 08 January 2019, Pages D1179–D1185, <a href="https://doi.org/10.1093/nar/gky974" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gky974</a></td> </tr> <tr> <td>7</td> <td>Carotenoids Database</td> <td>1,195</td> <td>Junko Yabuzaki, Carotenoids Database: structures, chemical fingerprints and distribution among organisms, Database, Volume 2017, 2017, bax004, <a href="https://doi.org/10.1093/database/bax004" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/database/bax004</a></td> </tr> <tr> <td>8</td> <td>ChEBI NPs</td> <td>16,215</td> <td>Janna Hastings, Paula de Matos, Adriano Dekker, Marcus Ennis, Bhavana Harsha, Namrata Kale, Venkatesh Muthukrishnan, Gareth Owen, Steve Turner, Mark Williams, Christoph Steinbeck, The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013, Nucleic Acids Research, Volume 41, Issue D1, 1 January 2013, Pages D456–D463, <a href="https://doi.org/10.1093/nar/gks1146" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gks1146</a></td> </tr> <tr> <td>9</td> <td>ChEMBL NPs</td> <td>1,910</td> <td>Anna Gaulton, Anne Hersey, Michał Nowotka, A. Patrícia Bento, Jon Chambers, David Mendez, Prudence Mutowo, Francis Atkinson, Louisa J. Bellis, Elena Cibrián-Uhalte, Mark Davies, Nathan Dedman, Anneli Karlsson, María Paula Magariños, John P. Overington, George Papadatos, Ines Smit, Andrew R. Leach, The ChEMBL database in 2017, Nucleic Acids Research, Volume 45, Issue D1, January 2017, Pages D945–D954, <a href="https://doi.org/10.1093/nar/gkw1074" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkw1074</a></td> </tr> <tr> <td>10</td> <td>ChemSpider NPs</td> <td>9,740</td> <td>Harry E. Pence and Antony Williams Journal of Chemical Education 2010 87 (11), 1123-1124 <a href="https://doi.org/10.1021/ed100697w" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/ed100697w</a></td> </tr> <tr> <td>11</td> <td>CMAUP (cCollective molecular activities of useful plants)</td> <td>47,593</td> <td>Xian Zeng, Peng Zhang, Yali Wang, Chu Qin, Shangying Chen, Weidong He, Lin Tao, Ying Tan, Dan Gao, Bohua Wang, Zhe Chen, Weiping Chen, Yu Yang Jiang, Yu Zong Chen, CMAUP: a database of collective molecular activities of useful plants, Nucleic Acids Research, Volume 47, Issue D1, 08 January 2019, Pages D1118–D1127, <a href="https://doi.org/10.1093/nar/gky965" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gky965</a></td> </tr> <tr> <td>12</td> <td>ConMedNP</td> <td>3,111</td> <td>DOI <a href="https://doi.org/10.1039/C3RA43754J" target="_blank" rel="noopener noreferrer">https://doi.org/10.1039/C3RA43754J</a></td> </tr> <tr> <td>13</td> <td>ETM (Ethiopian Traditional Medicine) DB</td> <td>1,798</td> <td>Bultum, L.E., Woyessa, A.M. & Lee, D. ETM-DB: integrated Ethiopian traditional herbal medicine and phytochemicals database. BMC Complement Altern Med 19, 212 (2019). <a href="https://doi.org/10.1186/s12906-019-2634-1" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s12906-019-2634-1</a></td> </tr> <tr> <td>14</td> <td>Exposome-explorer</td> <td>434</td> <td>Vanessa Neveu, Alice Moussy, Héloïse Rouaix, Roland Wedekind, Allison Pon, Craig Knox, David S. Wishart, Augustin Scalbert, Exposome-Explorer: a manually-curated database on biomarkers of exposure to dietary and environmental factors, Nucleic Acids Research, Volume 45, Issue D1, January 2017, Pages D979–D984, <a href="https://doi.org/10.1093/nar/gkw980" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkw980</a></td> </tr> <tr> <td>15</td> <td>FoodDB</td> <td>70,385</td> <td>Natural products are a sebset of FoodDB <a href="https://foodb.ca/" target="_blank" rel="noopener noreferrer">https://foodb.ca/</a></td> </tr> <tr> <td>16</td> <td>GNPS (Global Natural Products Social Molecular Networking)</td> <td>11,103</td> <td>Wang, M., Carver, J., Phelan, V. et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat Biotechnol 34, 828–837 (2016). <a href="https://doi.org/10.1038/nbt.3597" target="_blank" rel="noopener noreferrer">https://doi.org/10.1038/nbt.3597</a></td> </tr> <tr> <td>17</td> <td>HIM (Herbal Ingredients in-vivo Metabolism database)</td> <td>1,259</td> <td>Kang, H., Tang, K., Liu, Q. et al. HIM-herbal ingredients in-vivo metabolism database. J Cheminform 5, 28 (2013). <a href="https://doi.org/10.1186/1758-2946-5-28" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/1758-2946-5-28</a></td> </tr> <tr> <td>18</td> <td>HIT (Herbal Ingredients Targets)</td> <td>530</td> <td>Hao Ye, Li Ye, Hong Kang, Duanfeng Zhang, Lin Tao, Kailin Tang, Xueping Liu, Ruixin Zhu, Qi Liu, Y. Z. Chen, Yixue Li, Zhiwei Cao, HIT: linking herbal active ingredients to targets, Nucleic Acids Research, Volume 39, Issue suppl_1, 1 January 2011, Pages D1055–D1059, <a href="https://doi.org/10.1093/nar/gkq1165" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkq1165</a></td> </tr> <tr> <td>19</td> <td>Indofine Chemical Company</td> <td>46</td> <td>Natural products are a sebset of Indofine Chemical Company <a href="https://indofinechemical.com/" target="_blank" rel="noopener noreferrer">https://indofinechemical.com/</a></td> </tr> <tr> <td>20</td> <td>InflamNat</td> <td>664</td> <td>Ruihan Zhang, Jing Lin, Yan Zou, Xing-Jie Zhang, and Wei-Lie Xiao Journal of Chemical Information and Modeling 2019 59 (1), 66-73 DOI: 10.1021/acs.jcim.8b00560 <a href="https://doi.org/10.1021/acs.jcim.8b00560" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/acs.jcim.8b00560</a></td> </tr> <tr> <td>21</td> <td>InPACdb</td> <td>124</td> <td>Vetrivel et al., Bioinformation 4(2): 71-74 (2009) <a href="https://www.bioinformation.net/004/001500042009.htm" target="_blank" rel="noopener noreferrer">https://www.bioinformation.net/004/001500042009.htm</a></td> </tr> <tr> <td>22</td> <td>InterBioScreen Ltd</td> <td>68,372</td> <td>Natural products are a sebset of InterBioScreen Ltd <a href="https://www.ibscreen.com/natural-compounds" target="_blank" rel="noopener noreferrer">https://www.ibscreen.com/natural-compounds</a></td> </tr> <tr> <td>23</td> <td>KNApSaCK</td> <td>48,241</td> <td>Kensuke Nakamura, Naoki Shimura, Yuuki Otabe, Aki Hirai-Morita, Yukiko Nakamura, Naoaki Ono, Md Altaf Ul-Amin, Shigehiko Kanaya, KNApSAcK-3D: A Three-Dimensional Structure Database of Plant Metabolites, Plant and Cell Physiology, Volume 54, Issue 2, February 2013, Page e4, <a href="https://doi.org/10.1093/pcp/pcs186" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/pcp/pcs186</a></td> </tr> <tr> <td>24</td> <td>Lichen Database</td> <td>1,718</td> <td>Olivier-Jimenez, D., Chollet-Krugler, M., Rondeau, D. et al. A database of high-resolution MS/MS spectra for lichen metabolites. Sci Data 6, 294 (2019). <a href="https://doi.org/10.1038/s41597-019-0305-1" target="_blank" rel="noopener noreferrer">https://doi.org/10.1038/s41597-019-0305-1</a></td> </tr> <tr> <td>25</td> <td>Marine Natural Products</td> <td>14,220</td> <td>Gentile, D.; Patamia, V.; Scala, A.; Sciortino, M.T.; Piperno, A.; Rescifina, A. Putative Inhibitors of SARS-CoV-2 Main Protease from A Library of Marine Natural Products: A Virtual Screening and Molecular Modeling Study. Mar. Drugs 2020, 18, 225. <a href="https://doi.org/10.3390/md18040225" target="_blank" rel="noopener noreferrer">https://doi.org/10.3390/md18040225</a></td> </tr> <tr> <td>26</td> <td>Mitishamba database</td> <td>1,095</td> <td>Derese, Solomon., Ndakala, Albert .,Rogo, Michael., Maynim, cholastica and Oyim, James (2015). Mitishamba database: a web based in silico database of natural products from Kenya plants. The 16th symposium of the natural products reseach network for eastern and central Africa (NAPRECA) 31st August to 3rd September 2015 Arusha, Tanzania <a href="http://erepository.uonbi.ac.ke/handle/11295/92273" target="_blank" rel="noopener noreferrer">http://erepository.uonbi.ac.ke/handle/11295/92273</a></td> </tr> <tr> <td>27</td> <td>NANPDB (Natural Products from Northern African Sources)</td> <td>7,482</td> <td>Fidele Ntie-Kang, Kiran K. Telukunta, Kersten Döring, Conrad V. Simoben, Aurélien F. A. Moumbock, Yvette I. Malange, Leonel E. Njume, Joseph N. Yong, Wolfgang Sippl, and Stefan Günther Journal of Natural Products 2017 80 (7), 2067-2076 DOI: 10.1021/acs.jnatprod.7b00283 <a href="https://doi.org/10.1021/acs.jnatprod.7b00283" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/acs.jnatprod.7b00283</a></td> </tr> <tr> <td>28</td> <td>NCI DTP data</td> <td>419</td> <td>Natural products are a sebset of NCI DTP data <a href="https://wiki.nci.nih.gov/display/NCIDTPdata/Compound+Sets" target="_blank" rel="noopener noreferrer">https://wiki.nci.nih.gov/display/NCIDTPdata/Compound+Sets</a></td> </tr> <tr> <td>29</td> <td>NPACT</td> <td>1,572</td> <td>Manu Mangal, Parul Sagar, Harinder Singh, Gajendra P. S. Raghava, Subhash M. Agarwal, NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database, Nucleic Acids Research, Volume 41, Issue D1, 1 January 2013, Pages D1124–D1129, <a href="https://doi.org/10.1093/nar/gks1047" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gks1047</a></td> </tr> <tr> <td>30</td> <td>NPASS</td> <td>96,173</td> <td>Xian Zeng, Peng Zhang, Weidong He, Chu Qin, Shangying Chen, Lin Tao, Yali Wang, Ying Tan, Dan Gao, Bohua Wang, Zhe Chen, Weiping Chen, Yu Yang Jiang, Yu Zong Chen, NPASS: natural product activity and species source database for natural product research, discovery and tool development, Nucleic Acids Research, Volume 46, Issue D1, 4 January 2018, Pages D1217–D1222, <a href="https://doi.org/10.1093/nar/gkx1026" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkx1026</a></td> </tr> <tr> <td>31</td> <td>NPAtlas</td> <td>36,395</td> <td>Jeffrey A. van Santen, Grégoire Jacob, Amrit Leen Singh, Victor Aniebok, Marcy J. Balunas, Derek Bunsko, Fausto Carnevale Neto, Laia Castaño-Espriu, Chen Chang, Trevor N. Clark, Jessica L. Cleary Little, David A. Delgadillo, Pieter C. Dorrestein, Katherine R. Duncan, Joseph M. Egan, Melissa M. Galey, F.P. Jake Haeckl, Alex Hua, Alison H. Hughes, Dasha Iskakova, Aswad Khadilkar, Jung-Ho Lee, Sanghoon Lee, Nicole LeGrow, Dennis Y. Liu, Jocelyn M. Macho, Catherine S. McCaughey, Marnix H. Medema, Ram P. Neupane, Timothy J. O’Donnell, Jasmine S. Paula, Laura M. Sanchez, Anam F. Shaikh, Sylvia Soldatou, Barbara R. Terlouw, Tuan Anh Tran, Mercia Valentine, Justin J. J. van der Hooft, Duy A. Vo, Mingxun Wang, Darryl Wilson, Katherine E. Zink, and Roger G. Linington ACS Central Science 2019 5 (11), 1824-1833 DOI: 10.1021/acscentsci.9b00806 <a href="https://doi.org/10.1021/acscentsci.9b00806" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/acscentsci.9b00806</a></td> </tr> <tr> <td>32</td> <td>NPCARE</td> <td>1,446</td> <td>Choi, H., Cho, S.Y., Pak, H.J. et al. NPCARE: database of natural products and fractional extracts for cancer regulation. J Cheminform 9, 2 (2017). <a href="https://doi.org/10.1186/s13321-016-0188-5" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s13321-016-0188-5</a></td> </tr> <tr> <td>33</td> <td>NPEdia</td> <td>49,597</td> <td>Takeshi Tomiki, Tamio Saito, Masashi Ueki, Hideaki Konno, Takeo Asaoka, Ryuichiro Suzuki, Masakazu Uramoto, Hideaki Kakeya, Hiroyuki Osada, [Special Issue: Fact Databases and Freewares] RIKEN Natural Products Encyclopedia (RIKEN NPEdia),a Chemical Database of RIKEN Natural Products Depository (RIKEN NPDepo), Journal of Computer Aided Chemistry, 2006, Volume 7, Pages 157-162, Released on J-STAGE September 15, 2006, Online ISSN 1345-8647, <a href="https://doi.org/10.2751/jcac.7.157" target="_blank" rel="noopener noreferrer">https://doi.org/10.2751/jcac.7.157</a></td> </tr> <tr> <td>34</td> <td>NuBBEDB</td> <td>2,215</td> <td>Pilon, A.C., Valli, M., Dametto, A.C. et al. NuBBEDB: an updated database to uncover chemical and biological information from Brazilian biodiversity. Sci Rep 7, 7215 (2017). <a href="https://doi.org/10.1038/s41598-017-07451-x" target="_blank" rel="noopener noreferrer">https://doi.org/10.1038/s41598-017-07451-x</a></td> </tr> <tr> <td>35</td> <td>p-ANAPL</td> <td>533</td> <td>Fidele Ntie-Kang ,Pascal Amoa Onguéné ,Ghislain W. Fotso,Kerstin Andrae-Marobela ,Merhatibeb Bezabih,Jean Claude Ndom,Bonaventure T. Ngadjui,Abiodun O. Ogundaini,Berhanu M. Abegaz,Luc Mbaze Meva’a Published: March 5, 2014 <a href="https://doi.org/10.1371/journal.pone.0090655" target="_blank" rel="noopener noreferrer">https://doi.org/10.1371/journal.pone.0090655</a></td> </tr> <tr> <td>36</td> <td>Phenol-explorer</td> <td>742</td> <td>Joseph A. Rothwell, Jara Perez-Jimenez, Vanessa Neveu, Alexander Medina-Remón, Nouha M'Hiri, Paula García-Lobato, Claudine Manach, Craig Knox, Roman Eisner, David S. Wishart, Augustin Scalbert, Phenol-Explorer 3.0: a major update of the Phenol-Explorer database to incorporate data on the effects of food processing on polyphenol content, Database, Volume 2013, 2013, bat070, <a href="https://doi.org/10.1093/database/bat070" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/database/bat070</a></td> </tr> <tr> <td>37</td> <td>PubChem NPs</td> <td>3,533</td> <td>Natural products are a sebset of PubChem NPs <a href="https://pubchem.ncbi.nlm.nih.gov/substance/251960601" target="_blank" rel="noopener noreferrer">https://pubchem.ncbi.nlm.nih.gov/substance/251960601</a></td> </tr> <tr> <td>38</td> <td>ReSpect</td> <td>4,854</td> <td>Yuji Sawada, Ryo Nakabayashi, Yutaka Yamada, Makoto Suzuki, Muneo Sato, Akane Sakata, Kenji Akiyama, Tetsuya Sakurai, Fumio Matsuda, Toshio Aoki, Masami Yokota Hirai, Kazuki Saito, RIKEN tandem mass spectral database (ReSpect) for phytochemicals: A plant-specific MS/MS-based data resource and database, Phytochemistry, Volume 82, 2012, Pages 38-45, ISSN 0031-9422, <a href="https://doi.org/10.1016/j.phytochem.2012.07.007" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.phytochem.2012.07.007</a>.</td> </tr> <tr> <td>39</td> <td>SANCDB</td> <td>995</td> <td>Hatherley, R., Brown, D.K., Musyoka, T.M. et al. SANCDB: a South African natural compound database. J Cheminform 7, 29 (2015). <a href="https://doi.org/10.1186/s13321-015-0080-8" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s13321-015-0080-8</a></td> </tr> <tr> <td>40</td> <td>Seaweed Metabolite Database (SWMD)</td> <td>1,075</td> <td>Davis & Vasanthi, Bioinformation 5(8): 361-364 (2011) <a href="https://www.bioinformation.net/005/007900052011.htm" target="_blank" rel="noopener noreferrer">https://www.bioinformation.net/005/007900052011.htm</a></td> </tr> <tr> <td>41</td> <td>Specs Natural Products</td> <td>744</td> <td>Natural products are a sebset of Specs Natural Products <a href="https://www.specs.net/index.php" target="_blank" rel="noopener noreferrer">https://www.specs.net/index.php</a></td> </tr> <tr> <td>42</td> <td>Spektraris NMR</td> <td>248</td> <td>Justin T. Fischedick, Sean R. Johnson, Raymond E.B. Ketchum, Rodney B. Croteau, B. Markus Lange, NMR spectroscopic search module for Spektraris, an online resource for plant natural product identification – Taxane diterpenoids from Taxus×media cell suspension cultures as a case study, Phytochemistry, Volume 113, 2015, Pages 87-95, ISSN 0031-9422, <a href="https://doi.org/10.1016/j.phytochem.2014.11.020" target="_blank" rel="noopener noreferrer">https://doi.org/10.1016/j.phytochem.2014.11.020</a>.</td> </tr> <tr> <td>43</td> <td>StreptomeDB</td> <td>6,522</td> <td>Aurélien F A Moumbock, Mingjie Gao, Ammar Qaseem, Jianyu Li, Pascal A Kirchner, Bakoh Ndingkokhar, Boris D Bekono, Conrad V Simoben, Smith B Babiaka, Yvette I Malange, Florian Sauter, Paul Zierep, Fidele Ntie-Kang, Stefan Günther, StreptomeDB 3.0: an updated compendium of streptomycetes natural products, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D600–D604, <a href="https://doi.org/10.1093/nar/gkaa868" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkaa868</a></td> </tr> <tr> <td>44</td> <td>Super Natural II</td> <td>325,149</td> <td>Priyanka Banerjee, Jevgeni Erehman, Björn-Oliver Gohlke, Thomas Wilhelm, Robert Preissner, Mathias Dunkel, Super Natural II—a database of natural products, Nucleic Acids Research, Volume 43, Issue D1, 28 January 2015, Pages D935–D939, <a href="https://doi.org/10.1093/nar/gku886" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gku886</a></td> </tr> <tr> <td>45</td> <td>TCMDB@Taiwan (Traditional Chinese Medicine database)</td> <td>58,401</td> <td>Calvin Yu-Chian Chen Published: January 6, 2011 <a href="https://doi.org/10.1371/journal.pone.0015939" target="_blank" rel="noopener noreferrer">https://doi.org/10.1371/journal.pone.0015939</a></td> </tr> <tr> <td>46</td> <td>TCMID (Traditional Chinese Medicine Integrated Database)</td> <td>32,038</td> <td>Xue R, Fang Z, Zhang M, Yi Z, Wen C, Shi T. TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis. Nucleic Acids Res. 2013 Jan;41(Database issue):D1089-95. doi: 10.1093/nar/gks1100. Epub 2012 Nov 29. PMID: 23203875; PMCID: PMC3531123.</td> </tr> <tr> <td>47</td> <td>TIPdb (database of Taiwan indigenous plants)</td> <td>8,838</td> <td>Chun-Wei Tung, Ying-Chi Lin, Hsun-Shuo Chang, Chia-Chi Wang, Ih-Sheng Chen, Jhao-Liang Jheng, Jih-Heng Li, TIPdb-3D: the three-dimensional structure database of phytochemicals from Taiwan indigenous plants, Database, Volume 2014, 2014, bau055, <a href="https://doi.org/10.1093/database/bau055" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/database/bau055</a></td> </tr> <tr> <td>48</td> <td>TPPT (Toxic Plants–PhytoToxins)</td> <td>1,561</td> <td>Barbara F. Günthardt, Juliane Hollender, Konrad Hungerbühler, Martin Scheringer, and Thomas D. Bucheli Journal of Agricultural and Food Chemistry 2018 66 (29), 7577-7588 DOI: 10.1021/acs.jafc.8b01639 <a href="https://pubs.acs.org/doi/10.1021/acs.jafc.8b01639" target="_blank" rel="noopener noreferrer">https://pubs.acs.org/doi/10.1021/acs.jafc.8b01639</a></td> </tr> <tr> <td>49</td> <td>UEFS (Natural Products Databse of the UEFS)</td> <td>503</td> <td>Natural products are a sebset of UEFS (Natural Products Databse of the UEFS) <a href="https://zinc12.docking.org/catalogs/uefsnp" target="_blank" rel="noopener noreferrer">https://zinc12.docking.org/catalogs/uefsnp</a></td> </tr> <tr> <td>50</td> <td>UNPD (Universal Natural Products Database)</td> <td>213,210</td> <td>Jiangyong Gu,Yuanshen Gui,Lirong Chen ,Gu Yuan,Hui-Zhe Lu,Xiaojie Xu Published: April 25, 2013 <a href="https://doi.org/10.1371/journal.pone.0062839" target="_blank" rel="noopener noreferrer">https://doi.org/10.1371/journal.pone.0062839</a></td> </tr> <tr> <td>51</td> <td>VietHerb</td> <td>5,150</td> <td>Thanh-Hoang Nguyen-Vo, Tri Le, Duy Pham, Tri Nguyen, Phuc Le, An Nguyen, Thanh Nguyen, Thien-Ngan Nguyen, Vu Nguyen, Hai Do, Khang Trinh, Hai Trong Duong, and Ly Le Journal of Chemical Information and Modeling 2019 59 (1), 1-9 DOI: 10.1021/acs.jcim.8b00399 <a href="https://pubs.acs.org/doi/10.1021/acs.jcim.8b00399" target="_blank" rel="noopener noreferrer">https://pubs.acs.org/doi/10.1021/acs.jcim.8b00399</a></td> </tr> <tr> <td>52</td> <td>ZINC NP</td> <td>85,201</td> <td>Teague Sterling and John J. Irwin Journal of Chemical Information and Modeling 2015 55 (11), 2324-2337 DOI: 10.1021/acs.jcim.5b00559 <a href="https://doi.org/10.1021/acs.jcim.5b00559" target="_blank" rel="noopener noreferrer">https://doi.org/10.1021/acs.jcim.5b00559</a></td> </tr> <tr> <td>53</td> <td>CyanoMetNP</td> <td>2,113</td> <td>Jones MR, Pinto E, Torres MA, Dörr F, Mazur-Marzec H, Szubert K, Tartaglione L, Dell'Aversano C, Miles CO, Beach DG, McCarron P, Sivonen K, Fewer DP, Jokela J, Janssen EM. CyanoMetDB, a comprehensive public database of secondary metabolites from cyanobacteria. Water Res. 2021 May 15;196:117017. doi: 10.1016/j.watres.2021.117017. Epub 2021 Mar 8. PMID: 33765498.</td> </tr> <tr> <td>54</td> <td>DrugBankNP</td> <td>9,283</td> <td>Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2017 Nov 8. doi: 10.1093/nar/gkx1037.</td> </tr> <tr> <td>55</td> <td>Australian natural products</td> <td>21,591</td> <td>Saubern, Simon; Shmaylov, Alex; Locock, Katherine; McGilvery, Don; Collins, David (2023): Australian Natural Products dataset. v5. CSIRO. Data Collection. <a href="https://doi.org/10.25919/v8wq-mr81" target="_blank" rel="noopener noreferrer">https://doi.org/10.25919/v8wq-mr81</a></td> </tr> <tr> <td>56</td> <td>EMNPD</td> <td>6,145</td> <td>Xu, HQ., Xiao, H., Bu, JH. et al. EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances. J Cheminform 15, 115 (2023). <a href="https://doi.org/10.1186/s13321-023-00779-9" target="_blank" rel="noopener noreferrer">https://doi.org/10.1186/s13321-023-00779-9</a></td> </tr> <tr> <td>57</td> <td>ANPDB</td> <td>7,482</td> <td>1) Pharmacoinformatic investigation of medicinal plants from East Africa Conrad V. Simoben, Ammar Qaseem, Aurélien F. A. Moumbock, Kiran K. Telukunta, Stefan Günther, Wolfgang Sippl, and Fidele Ntie-Kang Molecular Informatics 2020 DOI: 10.1002/minf.202000163 <a href="https://doi.org/10.1002/minf.202000163" target="_blank" rel="noopener noreferrer">https://doi.org/10.1002/minf.202000163</a> 2) NANPDB: A Resource for Natural Products from Northern African Sources Fidele Ntie-Kang, Kiran K. Telukunta, Kersten Döring, Conrad V. Simoben, Aurélien F. A. Moumbock, Yvette I. Malange, Leonel E. Njume, Joseph N. Yong, Wolfgang Sippl, and Stefan Günther Journal of Natural Products 2017 DOI: 10.1021/acs.jnatprod.7b00283 <a href="https://pubs.acs.org/doi/10.1021/acs.jnatprod.7b00283" target="_blank" rel="noopener noreferrer">https://pubs.acs.org/doi/10.1021/acs.jnatprod.7b00283</a></td> </tr> <tr> <td>58</td> <td>Phyto4Health</td> <td>3,175</td> <td>Nikita Ionov, Dmitry Druzhilovskiy, Dmitry Filimonov, and Vladimir Poroikov Journal of Chemical Information and Modeling 2023 63 (7), 1847-1851 DOI: 10.1021/acs.jcim.2c01567 <a href="https://pubs.acs.org/doi/10.1021/acs.jcim.2c01567" target="_blank" rel="noopener noreferrer">https://pubs.acs.org/doi/10.1021/acs.jcim.2c01567</a></td> </tr> <tr> <td>59</td> <td>Piella DB</td> <td>65</td> <td>Natural products are a sebset of Piella DB <a href="https://micro.biol.ethz.ch/research/piel.html" target="_blank" rel="noopener noreferrer">https://micro.biol.ethz.ch/research/piel.html</a></td> </tr> <tr> <td>60</td> <td>Watermelon</td> <td>1,526</td> <td>Natural products are a sebset of Watermelon <a href="https://watermelon.naturalproducts.net/" target="_blank" rel="noopener noreferrer">https://watermelon.naturalproducts.net/</a></td> </tr> <tr> <td>61</td> <td>Latin America dataset</td> <td>12,959</td> <td>Gómez-García A, Jiménez DAA, Zamora WJ, Barazorda-Ccahuana HL, Chávez-Fumagalli MÁ, Valli M, Andricopulo AD, Bolzani VDS, Olmedo DA, Solís PN, Núñez MJ, Rodríguez Pérez JR, Valencia Sánchez HA, Cortés Hernández HF, Medina-Franco JL. Navigating the Chemical Space and Chemical Multiverse of a Unified Latin American Natural Product Database: LANaPDB. Pharmaceuticals (Basel). 2023 Sep 30;16(10):1388. doi: 10.3390/ph16101388. PMID: 37895859; PMCID: PMC10609821.</td> </tr> <tr> <td>62</td> <td>CMNPD</td> <td>31,561</td> <td>Chuanyu Lyu, Tong Chen, Bo Qiang, Ningfeng Liu, Heyu Wang, Liangren Zhang, Zhenming Liu, CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D509–D515, <a href="https://doi.org/10.1093/nar/gkaa763" target="_blank" rel="noopener noreferrer">https://doi.org/10.1093/nar/gkaa763</a></td> </tr> <tr> <td>63</td> <td>Supernatural3</td> <td>1,203,509</td> <td>Natural products are a sebset of Supernatural3 <a href="https://academic.oup.com/nar/article/51/D1/D654/6833249" target="_blank" rel="noopener noreferrer">https://academic.oup.com/nar/article/51/D1/D654/6833249</a></td> </tr> <tr> <td> </td> <td><strong>Total Entries</strong></td> <td>2,551,803</td> </tr> </tbody> </table>
Figure 3 in The coconut pathosystem: weed hosts of nymphs of the American palm Cixiid Haplaxius crudus (Hemiptera: Fulgoroidea)
Figure 3. Variation of the number of nymphs associated per weed species in the low zone during May 2015–May 2016 in the coconut pathosystem in south-east Mexico.
Figure 2 in The coconut pathosystem: weed hosts of nymphs of the American palm Cixiid Haplaxius crudus (Hemiptera: Fulgoroidea)
Figure 2. Haplaxius crudus fifth instar nymphs on the roots of Panicum laxum, collected 15 February 2015 in the coconut pathosystem in south-east Mexico.
Figure 1 in The coconut pathosystem: weed hosts of nymphs of the American palm Cixiid Haplaxius crudus (Hemiptera: Fulgoroidea)
Figure 1. Haplaxius crudus nymphs in the root and organic material microhabitat in of Digitaria abyssinica, 22 July 2016, in the coconut pathosystem in south-east Mexico.
Data from the thesis diagnosis of waste, application possibilities and future demand for green coconut shells, with evaluation of information uncertainty
<p>Information on the quantities of green coconut shells produced in coastal regions is not well known, which can make it difficult to manage these frequently wasted materials, as well as the understanding that they can be included in a production process as a raw material, with various possibilities of use and income generation. Given this situation, the objective of this research is to develop a diagnosis of the potential use of green coconut shells, after water consumption, in public places in municipalities in the southern and southern coast of Bahia. It is also intended to identify the future demand of the potential possibility for the recovery of the bark, and provide subsidies that can be used to organize the use of this material. In this context, the method applied in this research consists of five steps: (i) literature review; (ii) diagnosis of bark situation in the study region; (iii) evaluation of the uncertainty of the estimated amount of shells; (iv) possibilities for applying green coconut shells and preparing the analysis of strengths, weaknesses, opportunities and threats (SWOT); and (v) obtaining future demand for the potential output for the region through quantitative techniques for predicting time series with uncertainty assessment. The main scientific contributions of this work consist, therefore, (a) in the diagnosis of the waste of green coconut shells in the region; (b) the possibilities of application of coconut shells; (c) in the demand forecasting method elaborated for time series without trends and with high variability; and (d) in assessing the uncertainty of the quantitative information obtained. Thus, the study developed can be used as a subsidy, either for replicating the research process in other types of waste allocated in any region, or for the adoption of public policies to manage these materials, or even for the encouragement and creation of an appropriate productive scenario for the management of green coconut shells in the study region, which contributes to the understanding of the potential for generating environmental, economic and social value from the use and processing of these wasted materials.</p>
Effects of Corn and Coconut Oils on Lipoprotein Lipids, Insulin Sensitivity and Inflammation
ClinicalTrials.gov study NCT03202654. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Therapeutic Application of Coconut Oil in Oral Health
ClinicalTrials.gov study NCT06049589. IPD Sharing: NO. Countries: 1. Publications: 0.
Virgin Coconut Oil Contact Lens as Ocular Rewetting Agent
ClinicalTrials.gov study NCT06071780. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Effectiveness of Highly Purified Anhydrous (HPA) Lanolin Versus Extra-Virgin Coconut Oil in Preventing Subacute Lactation Mastitis
ClinicalTrials.gov study NCT06317688. IPD Sharing: NO. Countries: 1. Publications: 11.
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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)
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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.