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29,897 results for “activism”
Investigating secondary students' stance on IoT driven educational activities - Dataset
<p>This data set supports the research and the results that are presented in Glaroudis, D., Iossifides, A., Spyropoulou, N., Zaharakis, I. D., “Investigating Secondary Students' Stance on IoT Driven Educational Activities”. In Kameas A, and Stathis K. (Eds) Ambient Intelligence, LNCS 11249, 2018, pp. 188-203. Springer Nature Switzerland AG. DOI: https://doi.org/10.1007/978-3-030-03062-9_15.</p>
Variations in Solar Activity Across the Sporer Minimum Based on Radiocarbon in Danish Oak (dataset)
<p>This dataset (AARAMS_Radiocarbon_1432_1578_ver2) provides radiocarbon ages of LW tree rings from Danish oak from the period AD 1432 to 1578. The measurements were conducted at the Aarhus AMS Centre (AARAMS) at Aarhus University, Denmark. Ring widths of the two wood samples (SchB and Gr02) used for the measurements are found in the two files: TableS1_SchB_Ringwidths and TableS2_Gr02_Ringwidths. These data are presented in a paper submitted to Geophysical Research Letters with the title: Variations in Solar Activity Across the Sporer Minimum Based on Radiocarbon in Danish Oak.</p>
Human activity classification
<p>Collected dataset comprises body position recordings for various persons of diverse profile while performing six physical activities.</p> <p>The values include: </p> <p>- Cod_pat is the unique code for each person;<br> - Time is the timestamp;<br> - Ax, Ay, Az represent the axis of the acceleration;<br> - Mx, My, Mz represent the axis of the magnetometer;<br> - Ch is the compass heading;<br> - Label is the Class that provide the activity of the person.</p> <p> </p>
Databases with structures used for "Improving the Activity of M-N4 Catalysts for the Oxygen Reduction Reaction by Electrolyte Adsorption"
<p>DFT optimised structures used for the paper "Improving the Activity of M-N<sub>4</sub> Catalysts for the Oxygen Reduction Reaction by Electrolyte Adsorption". There is a separate database for structures with Cr, Mn, Fe and Co as the central metal atom in the M-N4 motif, and one with the molecular references. The structures can be retrieved using the Atomic Simulation Environment (ASE).</p>
Muskox body temperature and activity data
<p>Data on muskox (<em>Ovibos moschatus</em>) body temperature (°C) (mean, range, max and min) and activity (mean count) from Zackenberg in Northeast Greenland collected every 4 hours during the period from autumn 2017 to autumn 2018.</p>
EOL Microbes Patch (MIP) - active: EOL Microbes Patch 2023
<p>Bacteria, viruses & microbial Eukaryotes to complement NCBI & WoRMS coverage. Hierarchy follows NCBI & Adl et al. 2019.</p> <h3>References </h3> <p>Adam, Rodney D. 2017. Diplomonadida. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–28. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_1-1">https://doi.org/10.1007/978-3-319-32669-6_1-1</a></p> <p>Adl, S. M., et al. 2019. Revisions to the classification, nomenclature, and diversity of eukaryotes. Journal of Eukaryotic Microbiology 66, 4–119. <a href="https://doi.org/10.1111/jeu.12691">https://doi.org/10.1111/jeu.12691 </a></p> <p>Azevedo, Carlos, and P. M. Hine. 2017. Haplosporidia. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–29. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_16-1">https://doi.org/10.1007/978-3-319-32669-6_16-1</a></p> <p>Baldauf, Sandra L., and Joan E. Strassmann. 2017. Dictyostelia. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–45. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_14-1">https://doi.org/10.1007/978-3-319-32669-6_14-1</a></p> <p>Beakes, Gordon W., and Marco Thines. Hyphochytriomycota and Oomycota. 2016. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–71. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_26-1">https://doi.org/10.1007/978-3-319-32669-6_26-1</a></p> <p>Bennett, R. M., D. Honda, G. W. Beakes, and M. Thines. 2017. Labyrinthulomycota. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–36. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_25-1">https://doi.org/10.1007/978-3-319-32669-6_25-1</a></p> <p>Boltovskoy, D., ed., 1999. South Atlantic zooplankton. Backhuys Publishers, Leiden. Boltovskoy, Demetrio, O. Roger Anderson, and Nancy M. Correa. 2017. Radiolaria and Phaeodaria. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–33. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_19-2">https://doi.org/10.1007/978-3-319-32669-6_19-2</a></p> <p>Brown, Matthew W., Jeffrey D. Silberman, and Frederick W. Spiegel. 2010. A Contemporary Evaluation of the Acrasids (Acrasidae, Heterolobosea, Excavata). European Journal of Protistology 48(2):103–23. <a href="https://doi.org/10.1016/j.ejop.2011.10.001">https://doi.org/10.1016/j.ejop.2011.10.001 </a></p> <p>Bulman, Simon, and Sigrid Neuhauser. 2017. Phytomyxea. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–21. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_24-1">https://doi.org/10.1007/978-3-319-32669-6_24-1</a></p> <p>Burki, F., 2014. The Eukaryotic Tree of Life from a Global Phylogenomic Perspective. Cold Spring Harb Perspect Biol 6, a016147. <a href="https://doi.org/10.1101/cshperspect.a016147">https://doi.org/10.1101/cshperspect.a016147 </a></p> <p>Burki Fabien, Kaplan Maia, Tikhonenkov Denis V., Zlatogursky Vasily, Minh Bui Quang, Radaykina Liudmila V., Smirnov Alexey, Mylnikov Alexander P., Keeling Patrick J., 2016. Untangling the early diversification of eukaryotes: a phylogenomic study of the evolutionary origins of Centrohelida, Haptophyta and Cryptista. Proceedings of the Royal Society B: Biological Sciences 283, 20152802. <a href="https://doi.org/10.1098/rspb.2015.2802">https://doi.org/10.1098/rspb.2015.2802 </a></p> <p>Burreson, Eugene M., and Susan E. Ford. 2004. A Review of Recent Information on the Haplosporidia, with Special Reference to Haplosporidium Nelsoni (MSX Disease). Aquatic Living Resources 17(4):499–517. <a href="https://doi.org/10.1051/alr:2004056">https://doi.org/10.1051/alr:2004056</a></p> <p>Cali, Ann, James J. Becnel, and Peter M. Takvorian. 2017. Microsporidia. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–60. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_27-1">https://doi.org/10.1007/978-3-319-32669-6_27-1</a></p> <p>Caragnano, A., Foetisch, A., Maneveldt, G.W., Millet, L., Liu, L.-C., Lin, S.-M., Rodondi, G., Payri, C.E., 2018. Revision of Corallinaceae (Corallinales, Rhodophyta): recognizing Dawsoniolithon gen. nov., Parvicellularium gen. nov. and Chamberlainoideae subfam. nov. containing Chamberlainium gen. nov. and Pneophyllum. Journal of Phycology 54, 391–409. <a href="https://doi.org/10.1111/jpy.12644">https://doi.org/10.1111/jpy.12644 </a></p> <p>Cavalier-Smith, T., 2016. Higher classification and phylogeny of Euglenozoa. European Journal of Protistology 56, 250–276. <a href="https://doi.org/10.1016/j.ejop.2016.09.003">https://doi.org/10.1016/j.ejop.2016.09.003 </a></p> <p>Cavalier-Smith, T., Chao, E.E., 2010. Phylogeny and Evolution of Apusomonadida (Protozoa: Apusozoa): New Genera and Species. Protist 161, 549–576. <a href="https://doi.org/10.1016/j.protis.2010.04.002">https://doi.org/10.1016/j.protis.2010.04.002 </a></p> <p>Cavalier-Smith, T., Chao, E.E., Lewis, R., 2018. Multigene phylogeny and cell evolution of chromist infrakingdom Rhizaria: contrasting cell organisation of sister phyla Cercozoa and Retaria. Protoplasma 255, 1517–1574. <a href="https://doi.org/10.1007/s00709-018-1241-1">https://doi.org/10.1007/s00709-018-1241-1 </a></p> <p>Cavalier-Smith, T., Chao, E.E.-Y., 2006. Phylogeny and megasystematics of phagotrophic heterokonts (kingdom Chromista). J. Mol. Evol. 62, 388–420. <a href="https://doi.org/10.1007/s00239-004-0353-8">https://doi.org/10.1007/s00239-004-0353-8 </a></p> <p>Čepička, Ivan, Michael F. Dolan, and Gillian H. Gile. 2016. Parabasalia. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–44. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_9-1">https://doi.org/10.1007/978-3-319-32669-6_9-1</a></p> <p>Cook, Martha E., and Linda E. Graham. 2016. Chlorokybophyceae, Klebsormidiophyceae, Coleochaetophyceae. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–20. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_36-1">https://doi.org/10.1007/978-3-319-32669-6_36-1</a></p> <p>Díaz-Tapia, P., Pasella, M.M., Verbruggen, H., Maggs, C.A., 2019. Morphological evolution and classification of the red algal order Ceramiales inferred using plastid phylogenomics. Molecular Phylogenetics and Evolution 137, 76–85. <a href="https://doi.org/10.1016/j.ympev.2019.04.022">https://doi.org/10.1016/j.ympev.2019.04.022 </a></p> <p>Eikrem, Wenche, Linda K Medlin, Jorijntje Henderiks, Sebastian Rokitta, Björn Rost, Ian Probert, Jahn Throndsen, and Bente Edvardsen. 2017. Haptophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–61. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_38-2">https://doi.org/10.1007/978-3-319-32669-6_38-2</a></p> <p>Eliáš, Marek, Raquel Amaral, Karen P. Fawley, Marvin W. Fawley, Yvonne Němcová, Jiří Neustupa, Pavel Přibyl, Lilia M. A. Santos, and Tereza Ševčíková. 2017. Eustigmatophyceae. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–39. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_39-1">https://doi.org/10.1007/978-3-319-32669-6_39-1</a></p> <p>Fang, Ling, Frederik Leliaert, Phil M. Novis, Zhenhua Zhang, Huan Zhu, Guoxiang Liu, David Penny, and Bojian Zhong. 2018. Improving Phylogenetic Inference of Core Chlorophyta Using Chloroplast Sequences with Strong Phylogenetic Signals and Heterogeneous Models. Molecular Phylogenetics and Evolution 127:248–55.<br> <a href="https://doi.org/10.1016/j.ympev.2018.06.006">https://doi.org/10.1016/j.ympev.2018.06.006</a></p> <p>Fang, Ling, Frederik Leliaert, Zhen-Hua Zhang, David Penny, and Bo-Jian Zhong. 2017. Evolution of the Chlorophyta: Insights from Chloroplast Phylogenomic Analyses. Journal of Systematics and Evolution 55(4):322–32. <a href="https://doi.org/10.1111/jse.12248">https://doi.org/10.1111/jse.12248</a></p> <p>Frank W. 1984. Non-Hemoparasitic Protozoans. In: Hoff G.L., Frye F.L., Jacobson E.R. (eds) Diseases of Amphibians and Reptiles. Springer, Boston, MA.<br> <a href="https://doi.org/10.1007/978-1-4615-9391-1_19">https://doi.org/10.1007/978-1-4615-9391-1_19 </a></p> <p>Fučíková, Karolina, Paul O Lewis, Suman Neupane, Kenneth G. Karol, and Louise A. Lewis. 2019. Order, Please! Uncertainty in the Ordinal-Level Classification of Chlorophyceae. PeerJ 7 e6899. <a href="https://doi.org/10.7717/peerj.6899">https://doi.org/10.7717/peerj.6899</a></p> <p>Gao, F., Warren, A., Zhang, Q., Gong, J., Miao, M., Sun, P., Xu, D., Huang, J., Yi, Z., Song, W., 2016. The All-Data-Based Evolutionary Hypothesis of Ciliated Protists with a Revised Classification of the Phylum Ciliophora (Eukaryota, Alveolata). Scientific Reports 6, 24874. <a href="https://doi.org/10.1038/srep24874">https://doi.org/10.1038/srep24874</a></p> <p>Gast, Rebecca J. 2017. Centrohelida and Other Heliozoan-Like Protists. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–17. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_28-1">https://doi.org/10.1007/978-3-319-32669-6_28-1</a></p> <p>Gibson, Wendy. 2016. Kinetoplastea. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–50. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_7-1">https://doi.org/10.1007/978-3-319-32669-6_7-1</a></p> <p>Gkelis, Spyros, Iordanis Ourailidis, Manthos Panou, and Nikos Pappas. 2016. Cyanobacteria of Greece: An Annotated Checklist. Biodiversity Data Journal 4: e10084. <a href="https://doi.org/10.3897/BDJ.4.e10084">https://doi.org/10.3897/BDJ.4.e10084</a></p> <p>Gomaa, F., Lahr, D.J.G., Todorov, M., Li, J., Lara, E., 2017. A contribution to the phylogeny of agglutinating Arcellinida (Amoebozoa) based on SSU rRNA gene sequences. Eur. J. Protistol. 59, 99–107. <a href="https://doi.org/10.1016/j.ejop.2017.03.005">https://doi.org/10.1016/j.ejop.2017.03.005 </a></p> <p>Gomez, F 2012. A checklist and classification of living dinoflagellates (Dinoflagellata, Alveolata). CICIMAR Oceanides 27:65–140. Gontcharov, A.A., 2008. Phylogeny and classification of Zygnematophyceae (Streptophyta): current state of affairs. Fottea 8, 87–104. <a href="https://doi.org/10.5507/fot.2008.004">https://doi.org/10.5507/fot.2008.004 </a></p> <p>Groves, John R., Demír Altiner, and Roberto Rettori. 2003. Origin and Early Evolutionary Radiation of the Order Lagenida (Foraminifera). Journal of Paleontology 77(5): 831–43.</p> <p>Guiry, M.D. & Guiry, G.M. 2020. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. <a href="https://www.algaebase.org">https://www.algaebase.org </a></p> <p>Hall, John D., and Richard McCourt. 2017. Zygnematophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–29. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_41-2">https://doi.org/10.1007/978-3-319-32669-6_41-2</a></p> <p>Hampl, Vladimir. 2016. Preaxostyla. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–36. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_8-1">https://doi.org/10.1007/978-3-319-32669-6_8-1</a></p> <p>Hauer, T. & Komárek, J. 2020: CyanoDB 2.0 - On-line database of cyanobacterial genera. - World-wide electronic publication, Univ. of South Bohemia & Inst. of Botany AS CR, <a href="http://www.cyanodb.cz">http://www.cyanodb.cz</a></p> <p>Heiss, Aaron A., Matthew W. Brown, and Alastair G. B. Simpson. 2016. Apusomonadida. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–27. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_15-1">https://doi.org/10.1007/978-3-319-32669-6_15-1</a></p> <p>Hoef-Emden, Kerstin, and John M. Archibald. 2016. Cryptophyta (Cryptomonads). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–41. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_35-1">https://doi.org/10.1007/978-3-319-32669-6_35-1</a></p> <p>Horiguchi, Takeo. 2016. Raphidophyceae (Raphidophyta). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–26. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_37-1">https://doi.org/10.1007/978-3-319-32669-6_37-1</a></p> <p>Jeon, Boo Seong, Seung Won Nam, Sunju Kim, Myung Gil Park, Boo Seong Jeon, Seung Won Nam, Sunju Kim, and Myung Gil Park. 2018. Revisiting the Parvilucifera Infectans / P. Sinerae (Alveolata, Perkinsozoa) Species Complex, Two Parasitoids of Dinoflagellates. Algae 33(1):1–19. <a href="https://doi.org/10.4490/algae.2018.33.3.6">https://doi.org/10.4490/algae.2018.33.3.6</a></p> <p>Karpov, S.A., López-García, P., Mamkaeva, M.A., Klimov, V.I., Vishnyakov, A.E., Tcvetkova, V.S., Moreira, D., 2018. The Chytrid-like Parasites of Algae Amoeboradix gromovi gen. et sp. nov. and Sanchytrium tribonematis Belong to a New Fungal Lineage. Protist 169, 122–140. <a href="https://doi.org/10.1016/j.protis.2017.11.002">https://doi.org/10.1016/j.protis.2017.11.002 </a></p> <p>Karpov, S.A., Vishnyakov, A.E., Moreira, D., López‐García, P., 2019. The Ultrastructure of Sanchytrium tribonematis (Sanchytriaceae, Fungi incertae sedis) Confirms its Close Relationship to Amoeboradix. Journal of Eukaryotic Microbiology 66, 892–898. <a href="https://doi.org/10.1111/jeu.12740">https://doi.org/10.1111/jeu.12740 </a></p> <p>Kawai, Hiroshi, and Eric C. Henry. 2016. Phaeophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–38. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_31-1">https://doi.org/10.1007/978-3-319-32669-6_31-1</a></p> <p>Keeling, Patrick J. 2016. Chlorarachniophytes. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–17. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_34-1">https://doi.org/10.1007/978-3-319-32669-6_34-1</a></p> <p>Komárek, J., Kaštovský, J., Mareš, J., & Johansen, J. R. 2014. Taxonomic classification of cyanoprokaryotes (cyanobacterial genera) 2014, using a polyphasic approach. Preslia, 86(4):295-335.</p> <p>Kosakyan, A., Gomaa, F., Lara, E., Lahr, D.J.G., 2016. Current and future perspectives on the systematics, taxonomy and nomenclature of testate amoebae. European Journal of Protistology, Special issue on Testate Amoebae – a tribute to Ralf Meisterfeld 55, 105–117. <a href="https://doi.org/10.1016/j.ejop.2016.02.001">https://doi.org/10.1016/j.ejop.2016.02.001 </a></p> <p>Kostka, Martin. 2016. Opalinata. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–23. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_4-1">https://doi.org/10.1007/978-3-319-32669-6_4-1</a></p> <p>Kristiansen, Jørgen, and Pavel Škaloud. 2016. Chrysophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–38. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_43-1">https://doi.org/10.1007/978-3-319-32669-6_43-1</a></p> <p>Kulda, Jaroslav, Eva Nohýnková, and Ivan Čepička. 2017. Retortamonadida (with Notes on Carpediemonas-Like Organisms and Caviomonadidae). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–32. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_3-1">https://doi.org/10.1007/978-3-319-32669-6_3-1</a></p> <p>Lado, C., Eliasson, U., 2017. Chapter 7 - Taxonomy and Systematics: Current Knowledge and Approaches on the Taxonomic Treatment of Myxomycetes, in: Stephenson, S.L., Rojas, C. (Eds.), Myxomycetes. Academic Press, pp. 205–251. <a href="https://doi.org/10.1016/B978-0-12-805089-7.00007-X">https://doi.org/10.1016/B978-0-12-805089-7.00007-X </a></p> <p>Leander, Brian S., Gordon Lax, Anna Karnkowska, and Alastair G. B. Simpson. 2017. Euglenida. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–42. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_13-1">https://doi.org/10.1007/978-3-319-32669-6_13-1</a></p> <p>Lemieux, Claude, Antony T. Vincent, Aurélie Labarre, Christian Otis, and Monique Turmel. 2015. Chloroplast Phylogenomic Analysis of Chlorophyte Green Algae Identifies a Novel Lineage Sister to the Sphaeropleales (Chlorophyceae). BMC Evolutionary Biology 15(1): 264. <a href="https://doi.org/10.1186/s12862-015-0544-5">https://doi.org/10.1186/s12862-015-0544-5</a></p> <p>Lester, R. J. G., and P. M. Hine. 2017. Paramyxida. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–18. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_21-1">https://doi.org/10.1007/978-3-319-32669-6_21-1</a></p> <p>Letcher, Peter M., and Martha J. Powell. 2018. A Taxonomic Summary and Revision of Rozella (Cryptomycota). IMA Fungus 9:383–99. <a href="https://doi.org/10.5598/imafungus.2018.09.02.09">https://doi.org/10.5598/imafungus.2018.09.02.09</a></p> <p>Letcher, Peter M., and Martha J. Powell. 2019. A Taxonomic Summary of Aphelidiaceae. IMA Fungus 10(1):4. <a href="https://doi.org/10.1186/s43008-019-0005-7">https://doi.org/10.1186/s43008-019-0005-7</a></p> <p>Lynn, Denis. 2008. The Ciliated Protozoa: Characterization, Classification, and Guide to the Literature. 3rd ed. Springer Netherlands. <a href="https://doi.org/10.1007/978-1-4020-8239-9">https://doi.org/10.1007/978-1-4020-8239-9</a></p> <p>Lynn, Denis H. 2016. Ciliophora. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–52. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_23-1">https://doi.org/10.1007/978-3-319-32669-6_23-1</a></p> <p>Maistro, Silvia, Paul Broady, Carlo Andreoli, and Enrico Negrisolo. 2016. Xanthophyceae. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–28. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_30-1">https://doi.org/10.1007/978-3-319-32669-6_30-1</a></p> <p>Mandal, F. B., N. C. Nandi, and A. K. Mandal. 1993. Catalouge of the Protozoans occurring in Reptiles from India. Records of the Zoological Survey of India Occasional Paper 148:1-36.</p> <p>Mann, David G., Richard M. Crawford, and Frank E. Round. 2016. Bacillariophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–62. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_29-1">https://doi.org/10.1007/978-3-319-32669-6_29-1</a></p> <p>McCourt, Richard M., Kenneth G. Karol, John D. Hall, Michelle T. Casanova, and Michael C. Grant. 2017. Charophyceae (Charales). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–19. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_40-2">https://doi.org/10.1007/978-3-319-32669-6_40-2</a></p> <p>Meriluoto, J., Spoof L., Codd, G. A., eds. 2017. Handbook of Cyanobacterial Monitoring and Cyanotoxin Analysis, First Edition. John Wiley & Sons, Ltd. Novozhilov, Y.K., van Hooff, H., Jagers, M., 2014. Trichioides iridescens, a new genus and new species (incertae sedis in Myxomycetes). Mycol Progress 14, 1018. <a href="https://doi.org/10.1007/s11557-014-1018-7">https://doi.org/10.1007/s11557-014-1018-7 </a></p> <p>Okamoto, Noriko, Ryan M. R. Gawryluk, Javier del Campo, Jürgen F. H. Strassert, Julius Lukeš, Thomas A. Richards, Alexandra Z. Worden, Alyson E. Santoro, and Patrick J. Keeling. 2019. A Revised Taxonomy of Diplonemids Including the Eupelagonemidae n. Fam. and a Type Species, Eupelagonema Oceanica n. Gen. & Sp. Journal of Eukaryotic Microbiology 66(3):519–24. <a href="https://doi.org/10.1111/jeu.12679">https://doi.org/10.1111/jeu.12679</a></p> <p>Pánek, Tomáš, Alastair G. B. Simpson, Matthew W. Brown, and Betsey Dexter Dyer. 2017. Heterolobosea. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–42. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_10-1">https://doi.org/10.1007/978-3-319-32669-6_10-1</a></p> <p>Parke, M. & Dixon, P. S. 1976. Check-list of British marine algae - third revision. Journal of the Marine Biological Association of the United Kingdom 56:527-594.</p> <p>Powell, Martha J. 2016. Blastocladiomycota. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–25. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_17-1">https://doi.org/10.1007/978-3-319-32669-6_17-1</a></p> <p>Powell, Martha J. 2016. Chytridiomycota. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–36. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_18-1">https://doi.org/10.1007/978-3-319-32669-6_18-1</a></p> <p>Price, Dana C., Jürgen M. Steiner, Hwan Su Yoon, Debashish Bhattacharya, and Wolfgang Löffelhardt. 2017. Glaucophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–65. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_42-1">https://doi.org/10.1007/978-3-319-32669-6_42-1</a></p> <p>Richter, Daniel J., and Frank Nitsche. 2016. Choanoflagellatea. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–19. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_5-1">https://doi.org/10.1007/978-3-319-32669-6_5-1</a></p> <p>Roger Anderson, O. 2017. Amoebozoan Lobose Amoebae (Tubulinea, Flabellinea, and Others). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–31. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_2-1">https://doi.org/10.1007/978-3-319-32669-6_2-1</a></p> <p>Ronikier, A., Halamski, A.T., 2018. Is Myxomycetes (Amoebozoa) a Truly Ambiregnal Group? A Major Issue in Protist Nomenclature. Protist 169, 484–493. <a href="https://doi.org/10.1016/j.protis.2018.05.002">https://doi.org/10.1016/j.protis.2018.05.002 </a></p> <p>Rees, T (compiler) (2020). The Interim Register of Marine and Nonmarine Genera. Available from <a href="http://www.irmng.org">http://www.irmng.org</a> at VLIZ.</p> <p>Roskov Y., et al. eds., 2019. Species 2000 & ITIS Catalogue of Life, 2019 Annual Checklist. Digital resource at <a href="http://www.catalogueoflife.org/col">http://www.catalogueoflife.org/col</a></p> <p>Species 2000: Naturalis, Leiden, the Netherlands. ISSN 2405-8858. Ruhfel, B.R., Gitzendanner, M.A., Soltis, P.S., Soltis, D.E., Burleigh, J.G., 2014. From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes. BMC Evolutionary Biology 14, 23. <a href="https://doi.org/10.1186/1471-2148-14-23">https://doi.org/10.1186/1471-2148-14-23 </a></p> <p>Sahoo, D. & Kumar, S. 2015. Xanthophyceae, Euglenophyceae and Dinophyceae. In The Algae World, Cellular Origin, Life in Extreme Habitats and Astrobiology, 259–305. <a href="https://doi.org/10.1007/978-94-017-7321-8_9">https://doi.org/10.1007/978-94-017-7321-8_9 </a></p> <p>Saldarriaga, J. F., and F. J. R. Taylor. 2017. Dinoflagellata. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–54. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_22-1">https://doi.org/10.1007/978-3-319-32669-6_22-1</a></p> <p>Sheikh, S., Thulin, M., Cavender, J.C., Escalante, R., Kawakami, S., Lado, C., Landolt, J.C., Nanjundiah, V., Queller, D.C., Strassmann, J.E., Spiegel, F.W., Stephenson, S.L., Vadell, E.M., Baldauf, S.L., 2018. A New Classification of the Dictyostelids. Protist 169, 1–28. <a href="https://doi.org/10.1016/j.protis.2017.11.001">https://doi.org/10.1016/j.protis.2017.11.001 </a></p> <p>Siemensma, F. J., Microworld - world of amoeboid organisms. World-wide electronic publication, Kortenhoef, the Netherlands. <a href="https://www.arcella.nl/">https://www.arcella.nl/ </a></p> <p>Simpson, Alastair G. B. 2016. Jakobida. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–32. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_6-1">https://doi.org/10.1007/978-3-319-32669-6_6-1</a></p> <p>Simpson, Alastair G. B., Claudio H. Slamovits, and John M. Archibald. 2017. Protist Diversity and Eukaryote Phylogeny. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–21. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_45-1">https://doi.org/10.1007/978-3-319-32669-6_45-1</a></p> <p>Spiegel, Frederick W., Lora L. Shadwick, George G. Ndiritu, Matthew W. Brown, Maria Aguilar, and John D. Shadwick. 2017. Protosteloid Amoebae (Protosteliida, Protosporangiida, Cavosteliida, Schizoplasmodiida, Fractoviteliida, and Sporocarpic Members of Vannellida, Centramoebida, and Pellitida). In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–38. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_12-1">https://doi.org/10.1007/978-3-319-32669-6_12-1</a></p> <p>Stephenson, Steven L., and Martin Schnittler. 2017. Myxomycetes. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–27. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_44-1">https://doi.org/10.1007/978-3-319-32669-6_44-1</a></p> <p>Tashyreva, Daria, Galina Prokopchuk, Akinori Yabuki, Binnypreet Kaur, Drahomíra Faktorová, Jan Votýpka, Chiho Kusaka, et al. 2018. Phylogeny and Morphology of New Diplonemids from Japan. Protist 169(2):158–79. <a href="https://doi.org/10.1016/j.protis.2018.02.001">https://doi.org/10.1016/j.protis.2018.02.001</a></p> <p>Tendal, Ole, and Robert Hessler. 1977. An Introduction to the Biology and Systematics of Komokiacea. Galathea Report 14:165-194.</p> <p>Vachard, Daniel. 2018. Permian Smaller Foraminifers: Taxonomy, Biostratigraphy and Biogeography. Geological Society, London, Special Publications 450(1): 205–52. <a href="https://doi.org/10.1144/SP450.1">https://doi.org/10.1144/SP450.1</a></p> <p>Votýpka, Jan, David Modrý, Miroslav Oborník, Jan Šlapeta, and Julius Lukeš. 2017. Apicomplexa. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–58. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_20-1">https://doi.org/10.1007/978-3-319-32669-6_20-1</a></p> <p>Walker, Giselle, Eliška Zadrobílková, and Ivan Čepička. 2017. Archamoebae. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–55. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_11-1">https://doi.org/10.1007/978-3-319-32669-6_11-1</a></p> <p>Wallace, F.G., 1966. The trypanosomatid parasites of insects and arachnids. Experimental Parasitology 18, 124–193. <a href="https://doi.org/10.1016/0014-4894(66)90015-4">https://doi.org/10.1016/0014-4894(66)90015-4</a></p> <p>Witkowski, Jakub, Patricia A. Sims, Nina I. Strelnikova, and David M. Williams. 2015. Entogoniopsis Gen. Nov. and Trilamina Gen. Nov. (Bacillariophyta): A Survey of Multipolar Pseudocellate Diatoms with Internal Costae, Including Comments on the Genus Sheshukovia Gleser. Phytotaxa 209(1): 1. <a href="https://doi.org/10.11646/phytotaxa.209.1.1">https://doi.org/10.11646/phytotaxa.209.1.1</a></p> <p>WoRMS Editorial Board (2020). World Register of Marine Species. Available from http://www.marinespecies.org at VLIZ. <a href="https://doi.org/10.14284/170">https://doi.org/10.14284/170 </a></p> <p>Yoon, Hwan Su, Wendy Nelson, Sandra C. Lindstrom, Sung Min Boo, Curt Pueschel, Huan Qiu, and Debashish Bhattacharya. 2016. Rhodophyta. In Handbook of the Protists, edited by John M. Archibald, Alastair G.B. Simpson, Claudio H. Slamovits, Lynn Margulis, Michael Melkonian, David J. Chapman, and John O. Corliss, 1–45. Cham: Springer International Publishing. <a href="https://doi.org/10.1007/978-3-319-32669-6_33-1">https://doi.org/10.1007/978-3-319-32669-6_33-1</a></p>
EOL Dynamic Hierarchy Trunk (trunk): EOL Dynamic Hierarchy Trunk Active Version
This is the trunk for the EOL reference hierarchy. It determines the relationships among the higher taxa and adds a few taxa that are not covered by other resources. The EOL DH trunk is maintained in [TTT](<p></p>http://ttt.biodinfo.org/) developed by Colin (Congtian Lin) and Jiangning Wang from Biodiversity Informatics Group of the Institute of Zoology, Chinese Academy of Sciences. ##References Adl, S. M., et al. 2019. Revisions to the classification, nomenclature, and diversity of eukaryotes. Journal of Eukaryotic Microbiology 66, 4–119. <p></p>https://doi.org/10.1111/jeu.12691 Aguiar, A.P., Deans, A.R., Engel, M.S., Forshage, M., Huber, J.T., Jennings, J.T., Johnson, N.F., Lelej, A.S., Longino, J.T., Lohrmann, V., Mikó, I., Ohl, M., Rasmussen, C., Taeger, A., Yu, D.S.K., 2013. Order Hymenoptera . In : Zhang, Z.-Q. (Ed.) Animal Biodiversity: An Outline of Higher-level Classification and Survey of Taxonomic Richness (Addenda 2013). Zootaxa 3703, 51–62. <p></p>https://doi.org/10.11646/zootaxa.3703.1.12 Aspöck, U., Haring, E., Aspöck, H., 2012. The phylogeny of the Neuropterida: long lasting and current controversies and challenges (Insecta: Endopterygota). Arthropod Systematics & Phylogeny 70, 119–129. Benton, M., 2014. Vertebrate Palaeontology. John Wiley & Sons. Betancur-R, R., Wiley, E.O., Arratia, G., Acero, A., Bailly, N., Miya, M., Lecointre, G., Ortí, G., 2017. Phylogenetic classification of bony fishes. BMC Evolutionary Biology 17, 162. <p></p>https://doi.org/10.1186/s12862-017-0958-3 Bleidorn, Christoph. 2019. Recent Progress in Reconstructing Lophotrochozoan (Spiralian) Phylogeny." Organisms Diversity & Evolution 19, no. 4 (December 1, 2019): 557–66. <p></p>https://doi.org/10.1007/s13127-019-00412-4. Bouchard, P., Bousquet, Y., Davies, A., Alonso-Zarazaga, M., Lawrence, J., Lyal, C., Newton, A., Reid, C., Schmitt, M., Slipinski, A., Smith, A., 2011. Family-Group Names In Coleoptera (Insecta). ZooKeys 88, 1–972. <p></p>https://doi.org/10.3897/zookeys.88.807 Cannon, Johanna Taylor, Bruno Cossermelli Vellutini, Julian Smith, Fredrik Ronquist, Ulf Jondelius, and Andreas Hejnol. 2016. Xenacoelomorpha Is the Sister Group to Nephrozoa. Nature 530(7588):89–93. <p></p>https://doi.org/10.1038/nature16520. Davis, R.B., Baldauf, S.L., Mayhew, P.J., 2010. The origins of species richness in the Hymenoptera: insights from a family-level supertree. BMC Evolutionary Biology 10, 109. <p></p>https://doi.org/10.1186/1471-2148-10-109 Dunlop, J. A., Penney, D. & Jekel, D. 2015. A summary list of fossil spiders and their relatives. In World Spider Catalog. Natural History Museum Bern, online at <p></p>http://wsc.nmbe.ch Dunn, C.W., Giribet, G., Edgecombe, G.D., Hejnol, A., 2014. Animal Phylogeny and Its Evolutionary Implications. Annu. Rev. Ecol. Evol. Syst. 45, 371–395. <p></p>https://doi.org/10.1146/annurev-ecolsys-120213-091627 Foottit, R. G., Adler, P. H., eds. 2017. Insect Biodiversity: Science and Society, Volume 1 & 2. 2nd Edition. Wiley-Blackwell. Fritz, U., Havaš, P., 2013. Order Testudines: 2013 update. In : Zhang, Z.-Q. (Ed.) Animal Biodiversity: An Outline of Higher-level Classification and Survey of Taxonomic Richness (Addenda 2013). Zootaxa 3703, 12–14. <p></p>https://doi.org/10.11646/zootaxa.3703.1.4 Giribet, Gonzalo. 2016. New Animal Phylogeny: Future Challenges for Animal Phylogeny in the Age of Phylogenomics. Organisms Diversity & Evolution 16 (2):419–26. <p></p>https://doi.org/10.1007/s13127-015-0236-4. Giribet, Gonzalo, and Gregory D. Edgecombe. 2020. The Invertebrate Tree of Life. Princeton, United States: Princeton University Press, 2020. Guy, L., Ettema, T.J.G., 2011. The archaeal __TACK__ superphylum and the origin of eukaryotes. Trends in Microbiology 19, 580–587. <p></p>https://doi.org/10.1016/j.tim.2011.09.002 Hinchliff, C.E., Smith, S.A., Allman, J.F., Burleigh, J.G., Chaudhary, R., Coghill, L.M., Crandall, K.A., Deng, J., Drew, B.T., Gazis, R., Gude, K., Hibbett, D.S., Katz, L.A., Laughinghouse, H.D., McTavish, E.J., Midford, P.E., Owen, C.L., Ree, R.H., Rees, J.A., Soltis, D.E., Williams, T., Cranston, K.A., 2015. Synthesis of phylogeny and taxonomy into a comprehensive tree of life. PNAS 112, 12764–12769. <p></p>https://doi.org/10.1073/pnas.1423041112 Holzenthal, R.W., Morse, J.C., Kjer, K.M., 2011. Order Trichoptera Kirby, 1813. In: Zhang, Z.-Q. (Ed.) Animal biodiversity: An outline of higher-level classification and survey of taxonomic richness. Zootaxa 3148, 209. <p></p>https://doi.org/10.11646/zootaxa.3148.1.40 Hormiga, G., Griswold, C.E., 2014. Systematics, Phylogeny, and Evolution of Orb-Weaving Spiders. Annu. Rev. Entomol. 59, 487–512. <p></p>https://doi.org/10.1146/annurev-ento-011613-162046 James, S.W., Davidson, S.K., 2012. Molecular phylogeny of earthworms (Annelida:Crassiclitellata) based on 28S, 18S and 16S gene sequences. Invertebrate Systematics 26, 213. <p></p>https://doi.org/10.1071/IS11012 Jarvis, E.D., Mirarab, S., Aberer, A.J., Li, B., Houde, P., Li, C., Ho, S.Y.W., Faircloth, B.C., Nabholz, B., Howard, J.T., Suh, A., Weber, C.C., Fonseca, R.R. da, Li, J., Zhang, F., Li, H., Zhou, L., Narula, N., Liu, L., Ganapathy, G., Boussau, B., Bayzid, M.S., Zavidovych, V., Subramanian, S., Gabaldón, T., Capella-Gutiérrez, S., Huerta-Cepas, J., Rekepalli, B., Munch, K., Schierup, M., Lindow, B., Warren, W.C., Ray, D., Green, R.E., Bruford, M.W., Zhan, X., Dixon, A., Li, S., Li, N., Huang, Y., Derryberry, E.P., Bertelsen, M.F., Sheldon, F.H., Brumfield, R.T., Mello, C.V., Lovell, P.V., Wirthlin, M., Schneider, M.P.C., Prosdocimi, F., Samaniego, J.A., Velazquez, A.M.V., Alfaro-Núñez, A., Campos, P.F., Petersen, B., Sicheritz-Ponten, T., Pas, A., Bailey, T., Scofield, P., Bunce, M., Lambert, D.M., Zhou, Q., Perelman, P., Driskell, A.C., Shapiro, B., Xiong, Z., Zeng, Y., Liu, S., Li, Z., Liu, B., Wu, K., Xiao, J., Yinqi, X., Zheng, Q., Zhang, Y., Yang, H., Wang, J., Smeds, L., Rheindt, F.E., Braun, M., Fjeldsa, J., Orlando, L., Barker, F.K., Jønsson, K.A., Johnson, W., Koepfli, K.-P., O__Brien, S., Haussler, D., Ryder, O.A., Rahbek, C., Willerslev, E., Graves, G.R., Glenn, T.C., McCormack, J., Burt, D., Ellegren, H., Alström, P., Edwards, S.V., Stamatakis, A., Mindell, D.P., Cracraft, J., Braun, E.L., Warnow, T., Jun, W., Gilbert, M.T.P., Zhang, G., 2014. Whole-genome analyses resolve early branches in the tree of life of modern birds. Science 346, 1320–1331. <p></p>https://doi.org/10.1126/science.1253451 Kathirithamby, J., Engel, M.S., 2014. A Revised Key to the Living and Fossil Families of Strepsiptera, with the Description of a New Family, Cretostylopidae. Journal of the Kansas Entomological Society 87, 385–388. <p></p>https://doi.org/10.2317/JKES140407.1 Kjer, K.M., Simon, C., Yavorskaya, M., Beutel, R.G., 2016. Progress, pitfalls and parallel universes: a history of insect phylogenetics. Journal of The Royal Society Interface 13, 20160363. <p></p>https://doi.org/10.1098/rsif.2016.0363 Klopfstein, S., Vilhelmsen, L., Heraty, J.M., Sharkey, M., Ronquist, F., 2013. The Hymenopteran Tree of Life: Evidence from Protein-Coding Genes and Objectively Aligned Ribosomal Data. PLoS ONE 8, e69344. <p></p>https://doi.org/10.1371/journal.pone.0069344 Kocot, Kevin M., Torsten H. Struck, Julia Merkel, Damien S. Waits, Christiane Todt, Pamela M. Brannock, David A. Weese, et al. 2016. Phylogenomics of Lophotrochozoa with Consideration of Systematic Error. Systematic Biology, syw079. <p></p>https://doi.org/10.1093/sysbio/syw079. Laumer, Christopher E., Rosa Fernández, Sarah Lemer, David Combosch, Kevin M. Kocot, Ana Riesgo, Sónia C. S. Andrade, Wolfgang Sterrer, Martin V. Sørensen, and Gonzalo Giribet. 2019. Revisiting Metazoan Phylogeny with Genomic Sampling of All Phyla. Proceedings of the Royal Society B: Biological Sciences 286 (1906): 20190831. <p></p>https://doi.org/10.1098/rspb.2019.0831. Laumer, Christopher E., Nicolas Bekkouche, Alexandra Kerbl, Freya Goetz, Ricardo C. Neves, Martin V. Sørensen, Reinhardt M. Kristensen, et al. 2015. Spiralian Phylogeny Informs the Evolution of Microscopic Lineages. Current Biology 25(15): 2000–2006. <p></p>https://doi.org/10.1016/j.cub.2015.06.068. Leschen, R.A.B., Beutel, R.G., 2014. Morphology and Systematics: Phytophaga. Walter de Gruyter. Li, H., Shao, R., Song, N., Song, F., Jiang, P., Li, Z., Cai, W., 2015. Higher-level phylogeny of paraneopteran insects inferred from mitochondrial genome sequences. Scientific Reports 5. <p></p>https://doi.org/10.1038/srep08527 Lozano-Fernandez, J., Tanner, A.R., Giacomelli, M., Carton, R., Vinther, J., Edgecombe, G.D., Pisani, D., 2019. Increasing species sampling in chelicerate genomic-scale datasets provides support for monophyly of Acari and Arachnida. Nature Communications 10, 2295. <p></p>https://doi.org/10.1038/s41467-019-10244-7 Malm, T., Nyman, T., 2015. Phylogeny of the symphytan grade of Hymenoptera: new pieces into the old jigsaw(fly) puzzle. Cladistics 31, 1–17. <p></p>https://doi.org/10.1111/cla.12069 Marlétaz, Ferdinand, Katja T. C. A. Peijnenburg, Taichiro Goto, Noriyuki Satoh, and Daniel S. Rokhsar. 2019. A New Spiralian Phylogeny Places the Enigmatic Arrow Worms among Gnathiferans. Current Biology 29(2):312-318.e3. <p></p>https://doi.org/10.1016/j.cub.2018.11.042. Nakano, T., Ramlah, Z., Hikida, T., 2012. Phylogenetic position of gastrostomobdellid leeches (Hirudinida, Arhynchobdellida, Erpobdelliformes) and a new family for the genus Orobdella. Zoologica Scripta 41, 177–185. <p></p>https://doi.org/10.1111/j.1463-6409.2011.00506.x Naylor, G.J.P., Caira, J.N., Jensen, K.R.E., Rosana, K.M., Straube, N., Lakner, C., 2012. Elasmobranch Phylogeny: A Mitochondrial Estimate Based on 595 Species. In J.C. Carrier, J.A. Musick and M.R. Heithaus (editors), The Biology of Sharks and Their Relatives. 31-56. CRC Press, Taylor & Francis Group. Nesbitt, S.J., 2011. The Early Evolution of Archosaurs: Relationships and the Origin of Major Clades. Bulletin of the American Museum of Natural History, 2011(352):1-292. <p></p>https://doi.org/10.1206/352.1 Nesnidal, Maximilian P., Martin Helmkampf, Achim Meyer, Alexander Witek, Iris Bruchhaus, Ingo Ebersberger, Thomas Hankeln, Bernhard Lieb, Torsten H. Struck, and Bernhard Hausdorf. 2013. New Phylogenomic Data Support the Monophyly of Lophophorata and an Ectoproct-Phoronid Clade and Indicate That Polyzoa and Kryptrochozoa Are Caused by Systematic Bias. BMC Evolutionary Biology 13(1): 253. <p></p>https://doi.org/10.1186/1471-2148-13-253. Oaks, J.R., 2011. A Time-Calibrated Species Tree of Crocodylia Reveals a Recent Radiation of the True Crocodiles. Evolution 65, 3285–3297. <p></p>https://doi.org/10.1111/j.1558-5646.2011.01373.x Okamura, B., Gruhl, A., Reft, A.J., 2015. Cnidarian Origins of the Myxozoa, in: Okamura, B., Gruhl, A., Bartholomew, J.L. (Eds.), Myxozoan Evolution, Ecology and Development. Springer International Publishing, Cham, pp. 45–68. <p></p>https://doi.org/10.1007/978-3-319-14753-6_3 Pyron, R.A., Burbrink, F.T., Wiens, J.J., 2013. A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes. BMC Evolutionary Biology 13, 93. <p></p>https://doi.org/10.1186/1471-2148-13-93 Robertson, J.A., Ślipiński, A., Moulton, M., Shockley, F.W., Giorgi, A., Lord, N.P., Mckenna, D.D., Tomaszewska, W., Forrester, J., Miller, K.B., Whiting, M.F., Mchugh, J.V., 2015. Phylogeny and classification of Cucujoidea and the recognition of a new superfamily Coccinelloidea (Coleoptera: Cucujiformia): Systematics of Cucujoidea and Coccinelloidea. Systematic Entomology 40, 745–778. <p></p>https://doi.org/10.1111/syen.12138 Rouse, Greg W., Nerida G. Wilson, Jose I. Carvajal, and Robert C. Vrijenhoek. 2016. New Deep-Sea Species of Xenoturbella and the Position of Xenacoelomorpha. Nature 530(7588):94–97. <p></p>https://doi.org/10.1038/nature16545. Ruhfel, B.R., Gitzendanner, M.A., Soltis, P.S., Soltis, D.E., Burleigh, J.G., 2014. From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes. BMC Evolutionary Biology 14, 23. <p></p>https://doi.org/10.1186/1471-2148-14-23 Schiffer, Philipp H., Helen E. Robertson, and Maximilian J. Telford. 2018. Orthonectids Are Highly Degenerate Annelid Worms. Current Biology 28(12):1970-1974.e3. <p></p>https://doi.org/10.1016/j.cub.2018.04.088. The Angiosperm Phylogeny Group, 2016. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Bot. J. Linn. Soc. 181, 1–20. <p></p>https://doi.org/10.1111/boj.12385 Van Nieukerken, E.J., Kaila, L., Kitching, I.J., Kristensen, N.P., Lees, D.C., Minet, J., Mitter, C., Mutanen, M., Regier, J.C., Simonsen, T.J., Wahlberg, N., Yen, S.-H., Zahiri, R., Adamski, D., Baixeras, J., Bartsch, D., Bengtsson, B.Å., Brown, J.W., Bucheli, S.R., Davis, D.R., Prins, J.D., Prins, W.D., Epstein, M.E., Gentili-Poole, P., Gielis, C., Hättenschwiler, P., Hausmann, A., Holloway, J.D., Kallies, A., Karsholt, O., Kawahara, A.Y., Koster, S.J.C., Kozlov, M.V., Lafontaine, J.D., Lamas, G., Landry, J.-F., Lee, S., Nuss, M., Park, K.-T., Penz, C., Rota, J., Schintlmeister, A., Schmidt, B.C., Sohn, J.-C., Solis, M.A., Tarmann, G.M., Warren, A.D., Weller, S., Yakovlev, R.V., Zolotuhin, V.V., Zwick, A., 2011. Order Lepidoptera Linnaeus, 1758. In: Zhang, Z.-Q. (Ed.) Animal biodiversity: An outline of higher-level classification and survey of taxonomic richness. Zootaxa 3148, 212. <p></p>https://doi.org/10.11646/zootaxa.3148.1.41 Vea, I.M., Grimaldi, D.A., 2015. Diverse New Scale Insects (Hemiptera: Coccoidea) in Amber from the Cretaceous and Eocene with a Phylogenetic Framework for Fossil Coccoidea. novi 2015, 1–15. <p></p>https://doi.org/10.1206/3823.1 Vélez-Zuazo, X., Agnarsson, I., 2011. Shark tales: A molecular species-level phylogeny of sharks (Selachimorpha, Chondrichthyes). Molecular Phylogenetics and Evolution 58, 207–217. <p></p>https://doi.org/10.1016/j.ympev.2010.11.018 Weigert, A., Bleidorn, C., 2016. Current status of annelid phylogeny. Org Divers Evol 16, 345–362. <p></p>https://doi.org/10.1007/s13127-016-0265-7 Weirauch, C., Schuh, R.T., 2011. Systematics and Evolution of Heteroptera: 25 Years of Progress. Annu. Rev. Entomol. 56, 487–510. <p></p>https://doi.org/10.1146/annurev-ento-120709-144833 Wiegmann, B.M., Trautwein, M.D., Winkler, I.S., Barr, N.B., Kim, J.-W., Lambkin, C., Bertone, M.A., Cassel, B.K., Bayless, K.M., Heimberg, A.M., Wheeler, B.M., Peterson, K.J., Pape, T., Sinclair, B.J., Skevington, J.H., Blagoderov, V., Caravas, J., Kutty, S.N., Schmidt-Ott, U., Kampmeier, G.E., Thompson, F.C., Grimaldi, D.A., Beckenbach, A.T., Courtney, G.W., Friedrich, M., Meier, R., Yeates, D.K., 2011. Episodic radiations in the fly tree of life. Proceedings of the National Academy of Sciences 108, 5690–5695. <p></p>https://doi.org/10.1073/pnas.1012675108 Winterton, S.L., Hardy, N.B., Wiegmann, B.M., 2010. On wings of lace: phylogeny and Bayesian divergence time estimates of Neuropterida (Insecta) based on morphological and molecular data. Systematic Entomology 35, 349–378. <p></p>https://doi.org/10.1111/j.1365-3113.2010.00521.x Yuri, T., Kimball, R.T., Harshman, J., Bowie, R.C.K., Braun, M.J., Chojnowski, J.L., Han, K.-L., Hackett, S.J., Huddleston, C.J., Moore, W.S., Reddy, S., Sheldon, F.H., Steadman, D.W., Witt, C.C., Braun, E.L., 2013. Parsimony and Model-Based Analyses of Indels in Avian Nuclear Genes Reveal Congruent and Incongruent Phylogenetic Signals. Biology 2, 419–444. <p></p>https://doi.org/10.3390/biology2010419 Zverkov, Oleg A., Kirill V. Mikhailov, Sergey V. Isaev, Leonid Y. Rusin, Olga V. Popova, Maria D. Logacheva, Alexey A. Penin, et al. 2019. Dicyemida and Orthonectida: Two Stories of Body Plan Simplification. Frontiers in Genetics 10. <p></p>https://doi.org/10.3389/fgene.2019.00443.<p></p>DH Trunk version that__s currently active on the EOL site. The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
IOC World Bird List (IOC) - active: IOC World Bird List with higherClassification
This is a Darwin Core Archive version of data from the [IOC World Bird List](<p></p>http://www.worldbirdnames.org/ "<p></p>http://www.worldbirdnames.org"). The IOC World Bird List is an open access resource of the international community of ornithologists. Their goal is to facilitate worldwide communication in ornithology and conservation based on an up-to-date classification of world birds and a set of English names that follows explicit guidelines for spelling and construction (Gill & Wright 2006). Citation: Gill, F & D Donsker (Eds). 2017. IOC World Bird List (v 7.1). doi: [10.14344/IOC.ML.7.1] (<p></p>http://doi.org/10.14344/IOC.ML.7.1) [More...](<p></p>http://www.worldbirdnames.org/ "<p></p>http://www.worldbirdnames.org")<p></p> The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
IOC World Bird List (IOC) - active: IOC World Bird List
This is a Darwin Core Archive version of data from the [IOC World Bird List](<p></p>http://www.worldbirdnames.org/ "<p></p>http://www.worldbirdnames.org"). The IOC World Bird List is an open access resource of the international community of ornithologists. Their goal is to facilitate worldwide communication in ornithology and conservation based on an up-to-date classification of world birds and a set of English names that follows explicit guidelines for spelling and construction (Gill & Wright 2006). Citation: Gill, F & D Donsker (Eds). 2017. IOC World Bird List (v 7.1). doi: [10.14344/IOC.ML.7.1] (<p></p>http://doi.org/10.14344/IOC.ML.7.1) [More...](<p></p>http://www.worldbirdnames.org/ "<p></p>http://www.worldbirdnames.org")<p></p>Simple version without higher classification. The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
Sensor-based Pallet Activity Recognition in Logistics (SPARL Version 2) - A multi-modal Dataset
<p>SPARL is a freely accessible data set for sensor-based activity recognition of pallets in logistics. The data set consists of 20 recordings from three scenarios. A description of the scenarios can be found in the protocol file.</p> <p>Four different sensors were used simultaneously for all recordings:</p> <ul> <li>MSR Electronics MSR 145 <ul> <li>Sampling rate 50 Hz</li> </ul> </li> <li>MBIENTLAB MetaMotionS <ul> <li>Sampling rate 100 Hz</li> </ul> </li> <li>Kistler KiDaQ Module 5512A <ul> <li>Sampling rate 100 kHz</li> <li>the raw data is also downsampled to 5 kHz and 20 kHz for easier processing </li> </ul> </li> <li>Holybro Flightcontroller PX4FMU <ul> <li>The board uses two accelerometers and two gyroscopes, all with a sampling rate of 1000 Hz <ul> <li>Accelerometer 1: IvenSense MPU6000 </li> <li>Accelerometer 2: STMicroelectronics LSM303D </li> <li>Gyroscope 1: IvenSense MPU6000</li> <li>Gyroscope 2: STMicroelectronics L3GD20</li> </ul> </li> </ul> </li> </ul> <p>The recordings were accompanied by three logitech Mevo Start cameras, of which all recordings are included anonymously in the data set. </p> <p>The videos were annotated by one person in each frame. For this purpose, the annotation tool SARA was used, which can be found <a href="../records/8189341">here</a>. The JSON schema used for annotation is also included in the SPARL dataset. The R code used our evaluation can be found in <a title="https://github.com/bommert/WGTL24" href="https://github.com/bommert/WGTL24">GitHub</a>.</p> <p>If you have any questions about the dataset, please contact: sven.franke@tu-dortmund.de</p> <p><strong>If you use this dataset for research, please cite the following paper: “Data-driven, sensor-based taxonomy for environmental life cycle assessment of pallets”, Nr. 20 (2024): Logistics Journal: Proceedings, DOI: <a href="http://dx.doi.org/10.2195/lj_proc_franke_en_202410_01" target="_blank" rel="noopener">10.2195/lj_proc_franke_en_202410_01</a></strong></p>
Nitrite content in powders from plasma-activated egg whites
<p>These are source data collected to determine the effects of three quantitative independent variables—plasma treatment time, the distance of the plasma source from the surface of egg whites, and drying temperature—on the nitrite concentration (mg·kg⁻¹) in powdered plasma-treated egg whites sourced from both hens and ostriches. The experimental ranges for these variables were as follows: plasma treatment time (20-180 minutes), plasma source distance (10-30 cm), and drying temperature (40-50 °C).</p> <p>The analysis of nitrite content in all samples was conducted according to the method of Lee et al. (2018) with some modifications.</p> <p>A design comprising 20 experimental runs was generated using Design Expert (version 11) software (Stat-Ease, Inc., USA).</p>
The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia
<p>This is a basic set of variables used in the paper "The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia", co-authored by Štěpán Mikula (Masaryk Unversity, IZA), Fabio Sabatini (Sapienza University of Rome, IZA), and Tommaso Reggiani (Cardiff University, Masaryk Unversity, IZA). The first draft of the paper is available as a MUNI ECON working paper (<a href="https://doi.org/10.5817/WP_MUNI_ECON_2023-03" target="_blank" rel="noopener">DOI 10.5817/WP_MUNI_ECON_2023-03</a>), which also includes a detailed data description.</p> <p>The current dataset is restricted to variables that are available from open sources. We are not allowed to share the complete set of variables publically.</p> <p>The table contains the following variables:</p> <ul> <li>KOD_OBEC...Municipality ID defined by <a href="https://apl2.czso.cz/iSMS/cisdet.jsp?kodcis=43">CISOB codebook</a>.</li> <li>dieceze...Diocese name (as defined in pre-1989 period)</li> <li>year</li> <li>church...Indicator variable for the presence of a church building in the municipality in 1945</li> <li>ngo_all...Density of NGOs</li> <li>ngo_other...Density of church-unrelated NGOs</li> <li>ngo_church...Density church-related NGOs</li> <li>priest_years...priests' tenure (years)</li> <li>ger_share...Share of ethnic Germans in 1930 (<a href="https://doi.org/10.1016/j.jue.2021.103385">Guzi et al. 2021</a>)</li> <li>population1950...Population in 1950 (<a href="https://csu.gov.cz/produkty/historicky-lexikon-obci-1869-az-2015">Historický atlas</a>)</li> <li>TRI_mean...Terrain Roughness Index</li> <li>CZdist...Distance to the country border</li> </ul>
Extinction Rebellion Netherlands: Dutch Climate Activism Tweets (2020-2023)
<p>This dataset contains text data from Extinction Rebellion Netherlands (XR NL) tweets between January 1, 2020, and December 31, 2023. It captures key moments in the Dutch climate activism movement, focusing on themes such as environmental protests, fossil fuel resistance, and civil disobedience. The tweets reflect XR NL’s efforts in organizing non-violent direct actions and blockades, including significant events like the A12 highway protests and Schiphol airport demonstrations. Central themes include the climate crisis, sustainability, and the ecological emergency, highlighting the movement’s focus on climate justice and the call for urgent government action in the Netherlands.</p>
Active Foam Dynamics of Tissue Spheroid Fusion (Datasets and scripts)
<p>The file attached supporting information for the paper "Active Foam Dynamics of Tissue Spheroid Fusion". Included are data from experiments, data from simulations, and a singularity image to execute a demo simulation similarly to the ones of the paper. </p>
Activity based synthetic population of residents for Gothenburg, Sweden
<p>A synthetic population is a distribution of synthetic agents that replicates the demographic distribution of a real-world population according to census records.<br>This dataset contains a synthetic population of residents in the city of Gothenburg in Sweden, along with activity schedules and mobility patterns for 2019. The synthetic population model is designed for applications in neighbourhood planning and includes detailed replicas of people in different neighbourhoods of Gothenburg organized as persons, households, houses, buildings, and daily activity chains. While the persons, households, and houses are synthetic replicas, they are connected to existing buildings.<br>The model considers the allocation of primary and secondary locations based on a gravity model, realistic routing for active, public and private motorised modes of transportation and allows users to introduce new buildings and amenities if needed. The population data is provided as an SQLite3 database file for each neighbourhood of Gothenburg.</p>
Dataset: Post-treatment of high-rate activated sludge effluent via zeolite adsorption and recovery of ammonium-nitrogen
<p>Dataset used to write journal article (doi:10.1016/j.biortech.2024.130837) covering the post-treatment of high-rate activated sludge effluent via zeolite adsorption and recovery of ammonium-nitrogen to produce potential alternative fertilising products. The data included is data gathered from column experiments (for breakthrough modelling and to compare different N recovery methods). Metal and cation content results for the treated wastewater and adsorption outputs is also included</p>
Shape, membrane morphology, and morphodynamic response of metabolically active human mitochondria revealed by scanning ion conductance microscopy
<p>This contains the hole data set as well as all analysed data for the paper published in Beilstein Journal of Nanotechnology "Shape, membrane morphology and morphodynamic response of metabolically active human mitochondria revealed by Scanning Ion Conductance Microscopy".</p> <p>Most of the images were taken with the SICM. These uncompressed tiff files can be read and processed with the Gwyddion software or other scanning probe image processing software.</p>
Recreational Reading as a Leisure Activity: Perspectives from Georgian and Finnish Hearing and deaf students
<p><em>Using a mixed methods approach, this study investigates Finnish and Georgian deaf students' attitudes towards leisure reading and the relationship between their reading intentions and actual reading. </em><em>The primary interest of the study is to identify the external factors that affect reading behaviour directly or indirectly. </em></p> <p><em>An Integrative Model of Planned Behaviour is used as a theoretical framework, where intention is considered the main determinant for the behaviour. </em></p> <p><em>The study is cross-cultural, bringing the experiences of two distinct countries together. <br><br></em></p> <p><em>Reading attitude is investigated quantitatively, using a 5-point Likert Scale survey. 29 statements are broken down into three variables: enjoyment ( statements 4-13), difficulty ( statements 14-22) and social reinforcement (statements 23-29). </em></p> <p>Follow-up focus group interviews investigated the perceived external factors that affect reading behaviour negatively. interview questions were also grouped under three categories: 1) General feelings about reading (experiential attitude or affect), 2) Influences from individuals, close networks or society (perceived norms) and situational or environmental restrictions affect behaviour performance (skills, knowledge, resources, other factors). </p> <p>The interview protocol, questions survey and row data are attached as files.</p> <p>Interview transcripts are saved in Finnish and Georgian languages and can be shared only upon a reasonable request. </p>
Synthetic multi-day activity-travel schedules for Swedish residents
<div> <h2><strong>About </strong></h2> <p>This dataset contains multi-day activity-travel schedules for <strong>over 263,000 individuals residing in Sweden</strong>, representing approximately <strong>2.6% of country's population</strong>. The individuals and their daily schedules are derived from mobile phone application data covering seven months in 2019. Mobile phone application data, one example of emerging mobility data sources, offers an alternative to other data collection methods. This data is collected by capturing phone users' geographical locations with their consent as they interact with various mobile applications. </p> </div> <div> <p>This open data repository includes activity-travel schedules for each individual <strong>over five simulated average weekdays</strong>, <strong>incorporating daily variability at the individual level</strong>. <strong>Each simulation day provides:</strong> </p> </div> <div> <ul> <li> <p><strong>Anonymized Identifiers:</strong> Unique IDs that link individuals across all simulation days. </p> </li> </ul> </div> <div> <ul> <li> <p><strong>Activity Locations:</strong> Locations for home, work/school and other activities. </p> </li> </ul> </div> <div> <ul> <li> <p><strong>Daily Activity-Travel Schedules:</strong> Detailed information on activity sequence, type, start and end times, and locations. </p> </li> </ul> <p> </p> <div> <h2><strong>Background </strong></h2> </div> <div> <p>The activity-travel schedules were created using a novel generative model that synthesizes individuals' average weekday activity-travel schedules from mobile phone application data. Mobile data provides geographically and population-wise extensive observations over extended periods, offering valuable insights into individuals' whereabouts. However, these datasets often include sampling biases in the population coverage and individual-level data sparsity due to intermittent and irregular phone application activities, from which the underlying geolocation data were passively collected. </p> </div> <div> <p>The generative model combines mobile data with the Swedish national travel survey [1]. The model employs state-of-the-art primary activity identification methods to infer individuals’ primary activity locations, i.e., home and work/school snapped to buildings. The proposed model can generate multiple schedules for each individual, showing activity sequences, types, start/end times and locations, incorporating daily variability in specific schedule attributes. At the individual level, variations occur across all elements of activity schedules, i.e., activity sequences, type, start/end times, and other activity locations, while maintaining the residential and workplace locations. Moreover, the model calculates a weight for each individual based on their residential location and inferred employment status, addressing sampling biases and ensuring a representative sample of the Swedish population. </p> </div> <div> <p>The performance of the generative model is evaluated by comparing its synthesized activity-travel schedules with those from <a href="https://www.sciencedirect.com/science/article/pii/S2352340923003281?via%3Dihub" target="_blank" rel="noopener">the SySMo model</a> [2], large-scale agent-based model of Sweden and with underlying travel survey data. The results demonstrate that the proposed model effectively addresses biases and sparsity in mobile phone application data, resulting in realistic and reliable activity-travel schedules. The pre-print paper "<a href="https://arxiv.org/abs/2410.22386" target="_blank" rel="noopener">Mobile Phone Application Data for Activity Plan Generation</a>" details the model's methodology and evaluation.<br><br></p> <div> <h2><strong>Data Description </strong></h2> </div> <div> <p>The current data covers 5 data files, each showing a simulation day. </p> </div> <div> <div> <div> </div> <table> <tbody> <tr> <td> <div> <div> <p>Column </p> </div> </div> </td> <td> <div> <div> <p>Description </p> </div> </div> </td> <td> <div> <div> <p>Data type </p> </div> </div> </td> <td> <div> <div> <p>Unit </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>PId </p> </div> </div> </td> <td> <div> <div> <p>Unique Anonymized Identifiers </p> </div> </div> </td> <td> <div> <div> <p>Integer </p> </div> </div> </td> <td> <div> <div> <p>- </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>employment </p> </div> </div> </td> <td> <div> <div> <p>Employment Status (0 = Not Employed, 1 = Employed) </p> </div> </div> </td> <td> <div> <div> <p>Integer </p> </div> </div> </td> <td> <div> <div> <p>- </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>weight </p> </div> </div> </td> <td> <div> <div> <p>Weight showing the representativeness of the individuals </p> </div> </div> </td> <td> <div> <div> <p>Float </p> </div> </div> </td> <td> <div> <div> <p>- </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>act_id </p> </div> </div> </td> <td> <div> <div> <p>Activity index of each agent </p> </div> </div> </td> <td> <div> <div> <p>Integer </p> </div> </div> </td> <td> <div> <div> <p>- </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>act_purpose </p> </div> </div> </td> <td> <div> <div> <p>Activity purpose (work/ home/ other) </p> </div> </div> </td> <td> <div> <div> <p>String </p> </div> </div> </td> <td> <div> <div> <p>- </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>act_start </p> </div> </div> </td> <td> <div> <div> <p>Start time of activity in minute (0-1439) </p> </div> </div> </td> <td> <div> <div> <p>Integer </p> </div> </div> </td> <td> <div> <div> <p>minute </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>act_end </p> </div> </div> </td> <td> <div> <div> <p>End time of activity in minute (0-1439) </p> </div> </div> </td> <td> <div> <div> <p>Integer </p> </div> </div> </td> <td> <div> <div> <p>minute </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>point_x </p> </div> </div> </td> <td> <div> <div> <p>Coordinate X of activity location (SWEREF99TM) </p> </div> </div> </td> <td> <div> <div> <p>Float </p> </div> </div> </td> <td> <div> <div> <p>meter </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>point_y </p> </div> </div> </td> <td> <div> <div> <p>Coordinate Y of activity location (SWEREF99TM) </p> </div> </div> </td> <td> <div> <div> <p>Float </p> </div> </div> </td> <td> <div> <div> <p>meter </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>point_lat </p> </div> </div> </td> <td> <div> <div> <p>Latitude of activity location (WGS 84) </p> </div> </div> </td> <td> <div> <div> <p>Float </p> </div> </div> </td> <td> <div> <div> <p>degrees </p> </div> </div> </td> </tr> <tr> <td> <div> <div> <p>point_lng </p> </div> </div> </td> <td> <div> <div> <p>Longitude of activity location (WGS 84) </p> </div> </div> </td> <td> <div> <div> <p>Float </p> </div> </div> </td> <td> <div> <div> <p>degrees </p> </div> </div> </td> </tr> </tbody> </table> </div> </div> <div> <h2> </h2> <h2><strong>Privacy Policy </strong></h2> </div> <div> <p>The data underlying this study were purchased from PickWell and are subject to restrictions due to licensing and privacy considerations under the European General Data Protection Regulation (GDPR). Therefore, these data are not publicly available but can be requested for research purposes through commercial access. We adhere to the guidelines established by the Chalmers Institutional Review Board (IRB) following the Swedish Ethical Review Act (2003:460) and GDPR 2016/679. The dataset contains no personal information traceable to individuals. Geolocations in this dataset are synthesized from empirical mobile application data, ensuring privacy while retaining their utility for studying mobility behavior and simulating large-scale travel demand. </p> </div> <div> <p> </p> <h2><strong>Acknowledgement</strong> </h2> </div> <div> <p>This research is funded by the Swedish Research Council Formas (Project Number 2018-01768). The authors acknowledge Sonia Yeh for her intellectual contributions to the study. Additionally, the authors sincerely thank Jorge Gil for providing the mobile phone application data. </p> <div> </div> </div> <p> </p> </div> </div>
Environmental and AIS data collected during the EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network testbed
<p>Environmental and AIS data collected during the H2020 project EUMarineRobots Trans-National Access activities experiments using the NATO STO-CMRE Littoral Ocean Observatory Network (LOON) testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)</p> <p>Temperature measured across the water column in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p><br> Meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p><br> Sound velocity measured close to the surface (SVP1) and close to the sea bottom (SVP2) in the LOON area (Gulf of La Spezia, Italy). The dataset includes measurements for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021</p> <p>SVP2 data missing for Dec 14-20 (2020) and Jan 24, 27-28 (2021).</p> <p>Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy). The dataset includes AIS data for:<br> i) Nov 12, 19-20, 23-24 - 2020<br> ii) Dec 1-4, 14-20 - 2020<br> iii) Jan 12-13, 15, 18-24, 27-28 - 2021<br> </p> <p>For reference, see: "Environmental data collected on the CMRE LOON tested during the EUMR project: dataset description", Petroccia, Roberto; Zappa, Giovanni; Cimino, Giampaolo; Grati, Alberto; Alves, João. CMRE-DA-2021-001. July 2021, available at https://www.cmre.nato.int/research/publications/latest-techreports/1638-cmre-da-2021-001</p>
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.