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Time series data of COVID-19 cases (rT-PCR-confirmed), hospitalisations (laboratory-confirmed), and hospital-associated deaths (laboratory confirmed) in South Africa, by imputed dates of symptom onset, from the start of the pandemic in March 2020 through April 2022.
<p>Time series data of COVID-19 cases (rT-PCR-confirmed), hospitalisations (laboratory-confirmed), and hospital-associated deaths (laboratory confirmed) in South Africa, by imputed dates of symptom onset, from the start of the pandemic in March 2020 through April 2022. These data were used to estimate the time-varying reproduction number (R) in South Africa, as described in https://www.medrxiv.org/content/10.1101/2022.07.22.22277932v1.full.</p>
EOL Dynamic Hierarchy Trunk (trunk): Dynamic Hierarchy Trunk 15 March 2017
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>Dynamic hierarchy trunk to family except for Birds (sourced from IOC Birdlist), several marine taxa (sourced from WoRMS), certain insect groups (sourced from Species File projects), and earthworms (sourced from EOL Earthworms patch). 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)
EOL Dynamic Hierarchy Trunk (trunk): Dynamic Hierarchy Trunk March 2019
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. 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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)
Montserrat Digital Surface Model (1 metre) - March 2019 - Pleiades Photogrammetry (raw, not co-registered)
<p>This tiff file contains a Digital Surface Model (DSM) of the southern portion of Montserrat, Eastern Caribbean, including the Soufrière Hills Volcano. This is the raw DSM, generated via leverage of Pleiades tri-stereo imagery using the DSM-OPT software platform; it has not been co-registered. </p>
Belham River Valley Digital Surface Model (1 metre) - March 2019 - Pleiades Photogrammetry (co-registered)
<p>This tiff contains a Digital Surface Model (DSM) of the Belham River Valley in Montserrat, Eastern Caribbean. This was generated via leverage of Pleiades tri-stereo imagery throught the DSM-OPT software platform. This DSM has been co-registered to a LiDAR DSM (generated in 2010, vertical error 0.15 m) and found to have a vertical error of 2.3 m.</p>
Physico-chemical properties of Saharan dust samples deposited across Europe in March 2022 and collected through a participatory approach
<p>A particularly long and dense episode of airborne dust transport crossed Spain, France and part of Europe from 15 to 18 March 2022. This episode led to significant dust deposits on cars, roofs, etc., which may have caused surprise or concern among the general public. Based on association reports, several media published articles stating that this dust contained an artificial radionuclide, cesium-137 (<sup>137</sup>Cs), the source of which was attributed to the French nuclear tests conducted in the Sahara early in the 1960s.</p> <p>In order to provide a solid and representative scientific basis for a better characterisation of this dust and its radionuclide content, a participatory call for the collection of about ten grams of dust in different sites in France and Europe was launched on 17 March 2022 on the social network Twitter by Olivier Evrard. It was then relayed by Germán Orizaola, generating numerous reactions and the collection of several dozen samples in France, Spain and other neighbouring countries in Europe.</p> <p>The current dataset provides general information about the location/time of sample collection (<em>n</em>=110 samples) and data about the content of dust samples in cesium-137 (<sup>137</sup>Cs), an artificial radionuclide emitted by nuclear atmospheric tests and accidents (Evrard et al., 2020). Samples (2-80g) were analysed using the ultra-low background Germanium HyperPure gamma spectrometry detectors of LSCE installed in the underground facilities at both University Paris-Saclay (Gif-sur-Yvette) and Modane (Underground Lab of Modane, France). Filters were analysed for 80,000 to 200,000 s to obtain sufficient counting statistics (for the detection of the <sup>137</sup>Cs peak at 662 keV). All results were expressed in Bq kg<sup>−1</sup> with activities decay-corrected to the sampling date. Counting efficiencies and reliability were conducted using certified International Atomic Energy Agency (IAEA) standards (IAEA-444, 135, 375, RGU-1 and RGTh-1) prepared in the same containers as the samples.</p> <p>Additional data regarding other physico-chemical properties analysed in these dust samples has been added in June 2024.</p>
Sulphur Dioxide (SO2) emitted by Mount Etna on 4 March 2021
<p>Tracking volcanic Sulphur Dioxide (SO2) emitted by Mount Etna on 4 March 2021 that reached China with Sentinel-5P/TROPOMI data (<a href="https://www.volcanodiscovery.com/kunlun/news/124081/SO2-cloud-detected-in-the-area-of-Kunlun-volcano-Tibet-could-it-be-from-a-volcanic-eruption.html">Volcano Discovery article</a>).</p> <p> </p>
Moored echo and turbidity measurements in the Southern Adriatic Sea at mooring site BB and FF, March 2012-June 2020
<p>This data set includes four files (CSV format) containing observational data from two oceanographic moorings, BB and FF, located in the Southern Adriatic Sea from the period between March 2012 and June 2020. The stand-alone moorings are equipped with a 300 kHz ADCP-RDI system, which measures currents along the last 100 meters of the water column and a CTD recorder equipped with SeaPoint turbidity meter sensor located approximatively 10 m above the bottom. The turbidity sensor measures in a range of 0-25 FTU. Moorings were configured and maintained for continuous long-term monitoring following the approach of the CIESM Hydrochanges Program (www.ciesm.org/marine/programs/hydrochanges.html). The moorings are currently operational as from 2021 they have joined the southern Adriatic Sea submarine observatory system of the EMSO-ERIC European Consortium. The data were subjected to quality control (QC) and the coding numbers used, shown in a dedicated column, follow the SeaDataNet L20 measurement qualifiers flags. QC applied on echo data consists of detecting signal anomalies due to interactions with the seafloor and identifying if the signal falls below a minimum threshold for which the value is no longer considered reliable. For turbidity data, QC is addressed to the detections of possible spikes, anomalies, and sensor saturation in the recordings.</p>
Value creation stories anonymized open data set (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022)
<p># Title<br> Immunization Agenda 2030 (IA2030) 1st Movement Full Learning Cycle (FLC 2022) – “How are you doing?” Value Creation Stories Survey (Version 1.0)</p> <p># Research audience<br> Education researchers interested in the application of the “value creation stories” (VCS) conceptual framework elaborated by Etienne Wenger et al. in the study of communities of practice and other types of digital communities.</p> <p># Credits</p> <p>## Author<br> The Geneva Learning Foundation<br> 18 avenue Louis Casaï<br> CH-1209 Geneva, Switzerland<br> research@learning.foundation</p> <p>### Principal Investigator and corresponding author<br> Reda Sadki, The Geneva Learning Foundation (TGLF)<br> reda@learning.foundation</p> <p>## Project partners<br> Bridges to Development<br> University of South Australia Centre for Change and Complexity in Learning (C3L)</p> <p>## Roles and responsibilities<br> - Design: The Geneva Learning Foundation<br> - Implementation (sample collection): The Geneva Learning Foundation<br> - Processing: The Geneva Learning Foundation, Bridges for Development, Centre for Complexity and Change in Learning (C3L)<br> - Anonymization: The Geneva Learning Foundation and Bridges for Development<br> - Data cleaning: Bridges to Development<br> - Submission: The Geneva Learning Foundation</p> <p>## Funding sources or sponsorship that supported the data collection<br> Wellcome, Bill & Melinda Gates Foundation (BMGF)</p> <p>## Recommended citation<br> The Geneva Learning Foundation, 2023. Value Creation Stories (VCS) weekly feedback survey, 2022 Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) (Version 1.0). [Data Set]. The Geneva Learning Foundation. DOI: 10.5281/zenodo.7763922</p> <p># Description of the sample</p> <p>## File list:</p> <p>This file is IA2030_FLC_2022_Value_Creation_Stories.README.md</p> <p>IA2030-EN_FLC_2022_Value_Creation_Stories-questions_mapping.csv : List of the survey’s questions and their code in English as well as their unit. (21 questions) - Version 1: Geneva Learning Foundation, 31 March 2023. </p> <p>IA2030-EN_FLC_2022_Value_Creation_Stories.csv : Dataset Response of participants that replied in English. (n: 2101, obs:5601) - Version 1: Geneva Learning Foundation, 31 March 2023. </p> <p>IA2030-FR_FLC_2022_Value_Creation_Stories-questions_mapping.csv: List of the survey’s questions and their code in English as well as their unit. (21 questions) - Version 1: Geneva Learning Foundation, 31 March 2023.</p> <p>IA2030-FR_FLC_2022_Value_Creation_Stories-Google_translation.csv: Dataset Response of participants that replied in French translated to English using “Google Translate” (n: 1585, obs:4493) - Version 1: Geneva Learning Foundation, 31 March 2023.</p> <p>IA2030-FR_FLC_2022_Value_Creation_Stories.csv: Dataset Response of participants that replied in French (n: 1585, obs:4493) - Version 1: Geneva Learning Foundation, 31 March 2023. Relationship between files: The questions codes data set are the same code as the column variables and can be connected.</p> <p>## Relationship between files<br> The questions codes data set are the same code as the column variables and can be connected.</p> <p>## Related data sets<br> This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the 1st IA2030 Full Learning Cycle (FLC). The complete data set is more comprehensive, and includes: demographic information (gender, country), health system information (respondent’s health system level), respondents’ analyses of challenges and priorities. </p> <p>Additional data sets for the first Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) are available from The Geneva Learning Foundation (TGLF) Insights Unit [insights@learning.foundation](insights@learning.foundation)</p> <p>## Other publicly accessible locations of the data<br> The Geneva Learning Foundation publishes data sets in relation to its Immunization Agenda 2030 (IA2030) Movement learning programme in the Zenodo open repository community: https://zenodo.org/communities/ia2030/</p> <p>## 1. Purpose and Objectives</p> <p>### Primary goal of the survey:<br> This survey had two goals in the context of TGLF’s IA2030 Movement Full Learning Cycle programme (2022): <br> 1. Provide an asynchronous mechanism for support between peers (participants) and from the TGLF team; and<br> 2. collect and measure programme participants’ value creation stories (VCS) during the programme.</p> <p>Martin de Laat’s “value creation stories” (VCS) has been used primarily in small-scale, qualitative studies of communities of practice, online forums, and education activities.</p> <p>This data set includes both quantitative (Likert) and qualitative (open text) responses to the VCS questions, collected over a period of four months (7 March – 20 June 2022) from a cohort that began with 6,185 participants on the start date.</p> <p>## 2. Population and Sample</p> <p>The target population were participants of the Geneva Learning Foundation’s Movement for Immunization Agenda 2030 (IA2030) learning programme. The initial cohort admitted to the programme was 6,185 individuals from 99 countries. Only participants who were formally admitted to the programme received the invitation to complete the survey.</p> <p>Programme participants were free to choose if and when to report (self-selection), and their responses were not checked against any other measures (self-reporting).</p> <p>### Languages: French and English</p> <p>## 3. Survey Design and Methods</p> <p>Data collection period: 7 March 2022 – 20 June 2022</p> <p>Between 7 March and 20 June 2023, participants in the Geneva Learning Foundation’s “Immunization Agenda 2030” (IA2030) Movement Full Learning Cycle (FLC) were asked to respond to a questionnaire titled “How are you doing?”.</p> <p>Participants received a personalized email with the request to share feedback about their experience during the week. The link to share feedback was also included in other reminder and information emails sent in response to participant needs.</p> <p>The first survey was launched on the 11 of March 2022 and the last at 17 of March 2022, totalizing 15 requests. Participants could answer the survey at any time and as many times that they wished.</p> <p> <br> The group of 6,185 participants grew over the course of the Cycle, as additional participants were able to join the initiative throughout the four-month period.</p> <p>### Software- or Instrument-specific information needed to interpret the data<br> - Automated translation of French data was performed using [Google Translate](https://translate.google.com/?sl=en&tl=fr&op=docs)<br> - Methods used for removing or anonymizing personal identifiers or sensitive information:<br> - Unique identifier: Unique identifiers were anonymized using MD5 Hashing via the web site [Miracle Salad](https://www.miraclesalad.com/webtools/md5.php.).Unique identifiers can be used to identify respondents who may have answered the survey more than once, at different points in time. This approach provides a method to anonymize sensitive data using MD5 hashing.*Limitation: MD5 hashing is a one-way function; it is not possible to dehash the data and recover the original information.**<br> - Macros developed in Excel to replace Country names in qualitative responses. (No country information were collected in this survey, but some respondents referred to their specific contexts in their responses.) The macro did not account for typos, in case any country information is found please contact: [research@learning.foundation](research@learning.foundation)</p> <p>### Data collection start and end dates:<br> 7 March 2023 until 20 June 2023</p> <p>#### Events or circumstances during data collection that may have influenced results:<br> No requests for responses were sent during TGLF’s “Term break” between 16-30 April 2022.</p> <p>## 4. Data Processing and Cleaning</p> <p>- Incomplete or inconsistent responses: Not cleaned, as respondents were able to opt out of specific sections of survey or skip questions.<br> - Data transformations or imputations: None<br> - Treatment of outliers or extreme values: None</p> <p>## 5. Variables and Measures</p> <p>The survey included Likert scale questions and qualitative open texts based the conceptual framework for Value Creation Stories (VCS) developed by Wenger et. al. (2011). There are no derived or calculated variables. Items are Likert scale, multiple choice, and open text.</p> <p>## 6. Data Quality and Reliability<br> All the responses done before or after the FLC period (7 March – 20 June 2022) were excluded of the sample.</p> <p>## 7. Data Privacy and Anonymization</p> <p>### Methods used for removing or anonymizing personal identifiers or sensitive information:<br> - Unique identifier: Unique identifiers were anonymized using MD5 Hashing via the web site https://www.miraclesalad.com/webtools/md5.php. Unique identifiers can be used to identify respondents who may have answered the survey more than once, at different points in time. This approach provides a method to anonymize sensitive data using MD5 hashing.<br> - Limitation: MD5 hashing is a one-way function; it is not possible to dehash the data and recover the original information. <br> - Macros developed in Excel to replace Country names in qualitative responses. (No country information were collected in this survey, but some respondents referred to their specific contexts in their responses.)</p> <p>## 8. Data Availability and Accessibility<br> This data set is made available on Zenodo.org in the Zenodo community “Movement for Immunization Agenda 2030 (IA2030)”<br> https://zenodo.org/communities/ia2030/</p> <p>Requests for additional information should be addressed to research@learning.foundation.</p> <p>This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the 1st IA2030 Full Learning Cycle (FLC).</p> <p>The complete data set is more comprehensive, and includes: demographic information (gender, country), health system information (respondent’s health system level), respondents’ analyses of challenges and priorities.</p> <p>### Other publicly accessible locations of the data<br> The Geneva Learning Foundation publishes data sets in relation to its Immunization Agenda 2030 (IA2030) Movement learning programme in the Zenodo open repository community: https://zenodo.org/communities/ia2030/</p> <p>### Related data sets<br> Additional data sets for the first Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) are available from The Geneva Learning Foundation (TGLF) Insights Unit insights@learning.foundation</p> <p>## 10. Ethical Considerations</p> <p>### Ethical guidelines followed during data collection:<br> TGLF’s research abides by the principles of the Cantonal Commission for Research Ethics (CCER), the Federal Law on Research on Human Beings (RS 810.30), Swiss Human Research Act (HRA) and the Ordinance on Organisational Aspects of the Human Research Act (HRA Organisation Ordinance, OrgO-HRA)</p> <p>### Informed consent and participant rights information:<br> In order to join TGLF’s IA2030 Full Learning Cycle programme, participants had to confirm their agreement to use of their responses “for research, learning, evaluation, communication, and advocacy, in line with the Foundation’s mission”.</p> <p>Participants were able to opt out of the VCS questions by selecting “No” when asked “Could we ask you five questions about your participation?”. They were informed these questions were asked in order to “share your feedback in the next weekly Assembly”, the weekly synchronous meeting for programme participants. The rationale for sharing such feedback was also explained; “Your contribution will help everyone understand how we are doing as a group, and also help us to better support you.”</p> <p>Data protection and confidentiality<br> Consent was requested during the application and submitted of action plan period for sharing data, in line with the Geneva Learning Foundation’s data protection and confidentiality policy.</p> <p># Copyright and license<br> The Geneva Learning Foundation © 2022. This data set and all associated files are licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</p> <p>© The Geneva Learning Foundation 2023</p> <p>Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International; https://creativecommons.org/licenses/by-nc-sa/4.0/.</p> <p>Under the terms of this license, you may copy, redistribute and adapt the data set for non-commercial purposes, provided the work is appropriately cited, as indicated below. In any use of this data set, there should be no suggestion that the Foundation endorses any specific organization, products or services. The use of the Foundation logo is not permitted. If you use the data set, then you must license your work under the same or equivalent Creative Commons license. If you create a translation of this data set, you should add the following disclaimer along with the suggested citation: “This translation was not created by the Geneva Learning Foundation. The Foundation is not responsible for the content or accuracy of this translation. The original English edition shall be the binding and authentic edition.”</p> <p>Any mediation relating to disputes arising under the license shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization.</p> <p>General disclaimers. The designations employed and the presentation of the data set do not imply the expression of any opinion whatsoever on the part of the Foundation concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted and dashed lines on maps represent approximate border lines for which there may not yet be full agreement.</p> <p>The mention of specific companies or of certain manufacturers’ products does not imply that they are endorsed or recommended by the Foundation in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of proprietary products are distinguished by initial capital letters.</p> <p>All reasonable precautions have been taken by the Foundation to verify the information contained in this data set. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall the Foundation be liable for damages arising from its use.</p> <p>This data set contains individual views and does not necessarily represent the decisions or the policies of the Foundation.</p> <p>Version 1.0 (31 March 2023): reviewed internally; reviewed externally. </p> <p># References<br> Wenger, E., Trayner, B., de Laat, M., 2011. Promoting and assessing value creation in communities and networks: a conceptual framework (Rapport No. 18). Oitpen Universiteit, Ruud de Moor Centrum.</p> <p>Wenger, E., Trayner, B., de Laat, M., 2011. Promoting and assessing value creation in communities and networks: a conceptual framework (Rapport No. 18). Oitpen Universiteit, Ruud de Moor Centrum.</p> <p>Victoria J. Marsick, Rachel Fichter, Karen E. Watkins, 2022. From Work-based Learning to Learning-based Work: Exploring the Changing Relationship between Learning and Work, in: The SAGE Handbook of Learning and Work. SAGE Publications.</p> <p>Watkins, K.E., Sandmann, L.R., Dailey, C.A., Li, B., Yang, S.-E., Galen, R.S., Sadki, R., 2022. Accelerating problem-solving capacities of sub-national public health professionals: an evaluation of a digital immunization training intervention. BMC Health Serv Res 22, 736. https://doi.org/10.1186/s12913-022-08138-4</p> <p>Watkins, K.E., Kim, K., 2019. Measuring the Impact of the WHO Scholar Programme Courses for Immunization (2016-2018) (Evaluation report). University of Georgia at Athens, Athens, United States.</p> <p>Watkins, K.E., Bhattarai, A., 2019. Analysis of the Impact Accelerator Launch Pad Individual Acceleration Reports in July 2019. University of Georgia at Athens, Athens, United States.</p> <p># Questionnaire</p> <p>## Hello {{fname}} {{lname}}. How are you doing in the Movement for Immunization Agenda 2030?</p> <p>## Do you need help? Do you want to share your experience? We would like to know how you are doing.<br> - I am doing fine.<br> - I have a problem and need help.<br> - I want to share my experience.</p> <p>## Tell us more about what you want to share. Be specific and detailed so that we can understand. Share your lessons learned, successes, and challenges.</p> <p>## Did you complete your action for the week? If you did it, how did it turn out? What did you learn in the process? Did anything surprise you? What will you do next? If you did not complete your action, what will you do differently next week? This is a good way to write your thoughts if you did not get to speak in the last session. You can also record an audio message in the IA2030 Movement Dialogue https://t.me/+-PwJxPpyWfQ0ZjRk or share an idea or practice https://accelerator.wazoku.com/ccc/learning in the Ideas Engine.</p> <p>## What do you need help with?<br> - I do not know what I am supposed to do<br> - I need help with my IA2030 challenge<br> - I want to catch up<br> - I have poor connectivity<br> - I have a problem with technology<br> - Something else</p> <p>## Tell us more about the problem you are facing.<br> What have you tried to solve this problem? Where did you get stuck? The more information you provide, the better colleagues will be able to help you.</p> <p>## Have you tried taking time to read and follow the instructions? </p> <p>Click here https://www.learning.foundation/products/movement-for-immunization-agenda-2030-full-learning-cycle-1-march-2022 to access the video tutorials and slide decks on www.learning.foundation https://www.learning.foundation/login. </p> <p>Use your email email to log in. Don’t remember your password?</p> <p>Click here to recover it https://www.learning.foundation/password/new. </p> <p>Take the time to read the instructions – and then follow them step-by-step. Do not forget to come back to finish this questionnaire. </p> <p>## Do not suffer in silence. It sounds like you should ask for help from your Movement colleagues. </p> <p>Click here to connect with colleagues https://t.me/IA2030 in the IA2030 Movement Telegram channel.<br> - When you join Telegram, please introduce yourself and explain the problem that you are facing. Your colleagues can only help you if you describe the issue and explain what you have already done to solve it.<br> - We encourage you to share your challenge in the next short session where we share experience and problem-solve. Click here to register https://us02web.zoom.us/j/86171141804, and then come back to finish this questionnaire.<br> - Surely, someone will be able to help you. But you do have to register https://us02web.zoom.us/j/86171141804 and actually show up at the right time!<br> - Poor connectivity? Click here to listen https://podcasts.google.com/feed/aHR0cHM6Ly9saXN0ZW5ib3guYXBwL2YvODRTTFI0eTY5X05h to our low-bandwidth podcast. And then come back to finish this questionnaire.<br> - You can listen to most sessions in our podcast. This is audio-only, like listening to radio on demand.</p> <p>## Could we ask you five questions about your participation?<br> We will share your feedback in the next weekly Assembly. Your contribution will help everyone understand how we are doing as a group, and also help us to better support you.</p> <p>Yes<br> No</p> <p>## Participation changed me as a professional<br> (change in skills, attitudes, identity, self-confidence, feelings, etc.).</p> <p>## Can you explain how participation changed you as a professional?</p> <p>## Participation affected my social connections<br> (change in the number, quality, frequency, emotions, etc.)</p> <p>## Can you explain how participation affected your social connections?</p> <p>## Participation helped my professional practice<br> (get new ideas, insights, materials, procedures, etc.)</p> <p>## Can you explain how participation helped your professional practice?</p> <p>## Participation changed my ability to influence my world as a professional<br> (enhance my voice, contribution, status, recognition, etc.)</p> <p>## Can you explain how participation changed your ability to influence your world as a professional?</p> <p>## Participation made me see my world differently<br> (change in perspective, new understandings of the situation, redefine success, etc.)</p> <p>## Can you explain how participation made you see your world differently?</p> <p>## Do you remain committed to the Movement for Immunization Agenda 2030?<br> You remain a Member even if you are not actively participating.<br> - Yes, and I am actively participating<br> - Yes, but I am not actively participating<br> - No, I wish to leave the Movement</p> <p>## We are sorry to see you go. Could you let us know what went wrong? What could we have done better to support you?<br> - (Or just hit RETURN to skip.)</p> <p>## What is the email you are using?<br> We need your email to follow up and respond to what you shared with us. Do not forget to press the SUBMIT button.</p> <p>## URL redirection upon completion:<br> https://www.learning.foundation/products/movement-for-immunization-agenda-2030-full-learning-cycle-1-march-2022</p> <p>## Thank you [fname] [lname] for sharing your feedback.<br> We will share your feedback in the next weekly Assembly. Your contribution will help everyone understand how we are doing as a group, and also help us to better support you.</p> <p>Click here to check http://cal.ae/eudusmw the IA2030 Movement calendar so you do not miss upcoming event</p>
Water quality and stage in Gibson Jack Creek, SE Idaho, March-October 2020
Diel dissolved organic matter (DOM) variation can be used to understand hydrological and biogeochemical controls on organic matter cycling. We collected high-frequency fluorescent DOM data, and additional high-frequency data that could be used to parse controls, including stage, specific conductivity, water and air temperature, dissolved oxygen, and light availability at three locations in a non-perennial reach in Gibson Jack Creek, in southeastern Idaho. Weekly grab samples were collected for water chemistry throughout the study period. Data were collected from March 2020 through October 2020.
Carbon Dynamics in the Hyporheic Zone of a Headwater Mountain Stream in the Cascade Mountains, Oregon – Watershed 1 at HJA – June 2013 to March 2014
This study investigated carbon dynamics in the hyporheic zone of a steep, forested catchment in the Cascade Mountains of western Oregon, USA. Water samples were collected monthly from a headwater stream and well network during baseflow conditions from July to December 2013 and again in March 2014. We also sampled during one fall storm event, collecting pre-storm, rising leg, and extended high flow samples. The well network is located at the base of Watershed 1 (WS1) of the H.J. Andrews Experimental Forest and spans the full width of the floodplain (~14 m) along a 29 m reach of stream. We measured pH, temperature, water level, major anions, major cations, DOC, DIC, and total alkalinity. Flow paths, travel time to wells and hydraulic conductivity were available from previous studies.
Water Temperature, Salinity and other physical measurements taken at Shark River, Everglades National Park (FCE LTER) from February 2010 to March 2014
In early 2010 we established three new permanent water quality monitoring stations in the Shark River Estuary. These stations expanded FCE's spatial coverage in terms of salinity and also established the first continuous dissolved oxygen monitoring in the estuary.
Soil respiration and temperature measurements at 5 GCE-LTER sampling sites from June 2003 to March 2005
Soil temperature and respiration were measured in tidal marshes at five GCE-LTER sampling sites. The sites represent estuaries of the Georgia coast (USA) that vary in delivery of freshwater and sediment. Replicate measurements were taken from several locations at each site (levee, marsh plain, and marsh dieback) on seven dates between June 2003 and March 2005 to evaluate the effects of freshwater input on soil respiration over time.
February- March 2010 RTK survey of salt marsh plant ground elevations, plant characteristics and soil properties to support analysis of a LIDAR-derived DEM.
Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from February to March 2010 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 369 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes with associated plant and soil charactistics (soil salinity and water content, soil organic matter, soil redox potential). Data were collected to examine the relationships between marsh soil elevation, plant habitat distribution and soil properties and to support the analysis of a a LIDAR-derived digital elevation model (DEM) and RTK data collect in 2009.
November 2001 to March 2003 water column chlorophyll and phaeopigment concentrations for Georgia Coastal Ecosystems LTER sampling sites
Water samples were collected from the surface and the bottom of the water column at ten GCE-LTER sampling sites and from the surface of the water column during a low water transect along the Altamaha River in November 2001, March 2002, June 2002, September 2002, December 2002, and March 2003 . Samples were taken at various times of day and under various tidal conditions. The particulate matter was separated by filtration and analyzed for chlorophyll and phaeopigment content by flourometric analysis. This study was part of the GCE-LTER hydrographic monitoring program, and is repeated quarterly.
Effects of microarthropod exclusion and water amendments on fluffgrass growth at the Jornada Basin LTER, March to September 1986
This data package contains fluff grass (Dasyochloa pulchella) growth measurements taken during the growing period in 1986 (March, July, and September). The purpose of this study was to test how watering, and changing densities of soil microarthropods and nematodes, results in changes in fluff grass growth. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments: 1) Chlordane to exclude microarthropods, 2) Chlordane and water, 3) Water, and 4) Control. Within each plot, fluff grass plants were permanently tagged for continuous measurements of plant diameter and height during the three sampling dates. Data consists of the date of measurement, the longest diameter (cm), the diameter (cm) perpendicular to the longest diameter, and height (cm). This study was completed in September 1986.
MCR LTER: Coral Reef Resilience: Juvenile Parrotfish Habitat Associations at North Shore Fringe and Backreef in March 2011
These data describe habitat associations of juvenile parrotfish (Scaridae) encountered during systematic searches at LTER 1 and LTER 2 fringing reef and back reef sites during March 2011. At each site SCUBA divers or snorkelers identified, counted, and estimated the sizes of juvenile parrotfish and recorded the microhabitat that each individual or group of individuals was associated with on two 100 m x 10 m wide transects (n = 8 transects total). Upon encountering a juvenile or group of juveniles, the surveyor recorded the microhabitat type that fishes were first seen to be closest to. They also closely observed the behavior of fishes to see if they were utilizing a particular microhabitat as shelter, and if so this was also recorded. Several groups of fishes first observed to be grazing on hard substrate or on macroalgae quickly retreated into the nearby coral Porites rus when approached. Hence for these individuals we considered the initial habitat they were associated with (e.g., hard substrate or macroalgae) to be their primary microhabitat, but also noted that they were associated with Porites rus for shelter.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for March-September 2011.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for March - September 2011.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for March-September 2011.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR for April-September 2011.
Gemini/TEXES Spectroscopic Observations of Jupiter (March 12-14 2017)
<p>This dataset contains Gemini/TEXES spectroscopic maps of Jupiter, acquired between March 12-14 2017 in support of NASA's Juno mission. The data and its reduction/analysis is fully described in <em>Fletcher et al. (2020), Jupiter's Equatorial Plumes and Hot Spots: Spectral Mapping from Gemini/TEXES and Juno/MWR, Journal of Geophysical Research - Planets.</em></p> <p>As described in that paper, TEXES scan maps were acquired in seven groups (three on March 12, three on March 13, and one on March 14), with each group containing scan maps at 9 spectral settings (539, 587, 745, 819, 900, 960, 1165, 1248 and 2145 cm-1). Each setting spans approximately 10-20 cm-1, with variable spectral resolution as described in the article. </p> <p>Each scan map has been geometrically registered (i.e., latitudes, longitudes, and emission angles have been assigned), wavelength calibrated, and destriped. Radiometric calibration is in its raw form, based on TEXES observations of the telluric sky emission and a blank card in the instrument. However, we found it necessary to scale these spectra to match observations from Cassini/CIRS, using the following scale factors for all spectra:</p> <ul> <li>fac538= 0.9</li> <li>fac587= 0.687705</li> <li>fac744= 0.872656</li> <li>fac819= 0.600016</li> <li>fac901= 0.544984</li> <li>fac960= 0.427803</li> <li>fac1161=0.636066</li> <li>fac1248=1.0</li> <li>fac2145=1.0</li> </ul> <p>The format of the individual files (IDL "save" files) is as follows:</p> <ul> <li>EMMIMG FLOAT = Array[721, 361] - emission angles for each point in the map</li> <li>HDR STRING = Array[126] - header containing information about each observation</li> <li>IMAGE_REDUCT FLOAT = Array[149, 183] - summed image of Jupiter from all points in a spectral scan.</li> <li>IMG FLOAT = Array[374, 721, 361] - cylindrically mapped Jupiter data at 374 wavenumber positions.</li> <li>OLAT FLOAT = Array[361] - planetographic latitudes</li> <li>OLON FLOAT = Array[721] - System III West longitudes.</li> <li>SKY FLOAT = Array[374] - sky emission on the wavenumber grid.</li> <li>SUBLAT FLOAT - sub-observer latitude</li> <li>SUBLON FLOAT - sub-observer longitude</li> <li>TRUESKY FLOAT = Array[374] - sky emission on the wavenumber grid.</li> <li>WAVENUMBER DOUBLE = Array[374] - wavenumber array</li> </ul>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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