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rgbif 10.1093/biosci/biw022 Amano, T., Lamming, J. D. L., & Sutherland, W. J. (2016). Spatial Gaps in Global Biodiversity Information and the Role of Citizen Science. BioScience, 66(5), 393–400. doi:10.1093/biosci/biw022 NA NA
taxize 10.1017/s0960428615000256 Baden, H. M., Särkinen, T., Conde, D. A., Matthews, A. C., Vandrot, H., Chicas, S., … Harris, D. J. (2015). A BOTANICAL INVENTORY OF FOREST ON KARSTIC LIMESTONE AND METAMORPHIC SUBSTRATE IN THE CHIQUIBUL FOREST, BELIZE, WITH FOCUS ON WOODY TAXA. Edinburgh Journal of Botany, 73(01), 39–81. doi:10.1017/s0960428615000256 NA NA
Reol 10.1002/ece3.1109 Banbury, B. L., & O’Meara, B. C. (2014). Reol: R interface to the Encyclopedia of Life. Ecology and Evolution, 4(12), 2577–2583. doi:10.1002/ece3.1109 NA NA
rgbif 10.1111/ele.12170 Bartomeus, I., Park, M. G., Gibbs, J., Danforth, B. N., Lakso, A. N., & Winfree, R. (2013). Biodiversity ensures plant-pollinator phenological synchrony against climate change. Ecol Lett, 16(11), 1331–1338. doi:10.1111/ele.12170 NA NA
rgbif 10.1016/j.ecoinf.2014.08.008 Barve, V. (2014). Discovering and developing primary biodiversity data from social networking sites: A novel approach. Ecological Informatics, 24, 194–199. doi:10.1016/j.ecoinf.2014.08.008 NA NA
taxize 10.1016/j.ecoinf.2015.05.004 Vanden Berghe, E., Coro, G., Bailly, N., Fiorellato, F., Aldemita, C., Ellenbroek, A., & Pagano, P. (2015). Retrieving taxa names from large biodiversity data collections using a flexible matching workflow. Ecological Informatics, 28, 29–41. doi:10.1016/j.ecoinf.2015.05.004 NA NA
taxize 10.1111/2041-210x.12327 Bocci, G. (2015). TR8: an R package for easily retrieving plant species traits. Methods in Ecology and Evolution, 6(3), 347–350. doi:10.1111/2041-210x.12327 NA NA
rgbif 10.1111/nph.13572 Bone, R. E., Smith, J. A. C., Arrigo, N., & Buerki, S. (2015). A macro-ecological perspective on crassulacean acid metabolism (CAM) photosynthesis evolution in Afro-Madagascan drylands: Eulophiinae orchids as a case study. New Phytol, 208(2), 469–481. doi:10.1111/nph.13572 NA NA
rnoaa 10.1016/j.cageo.2015.02.013 Bowman, D. C., & Lees, J. M. (2015). Near real time weather and ocean model data access with rNOMADS. Computers & Geosciences, 78, 88–95. doi:10.1016/j.cageo.2015.02.013 NA NA
taxize 10.1007/s10530-015-0970-8 Bradie, J., Pietrobon, A., & Leung, B. (2015). Beyond species-specific assessments: an analysis and validation of environmental distance metrics for non-indigenous species risk assessment. Biological Invasions, 17(12), 3455–3465. doi:10.1007/s10530-015-0970-8 NA NA
rgbif 10.3897/bdj.3.e4162 Collins, R., Duarte Ribeiro, E., Nogueira Machado, V., Hrbek, T., & Farias, I. (2015). A preliminary inventory of the catfishes of the lower Rio Nhamundá, Brazil (Ostariophysi, Siluriformes). Biodiversity Data Journal, 3, e4162. doi:10.3897/bdj.3.e4162 NA NA
helminthR 10.1038/srep13185 Dallas, T., & Cornelius, E. (2015). Co-extinction in a host-parasite network: identifying key hosts for network stability. Scientific Reports, 5, 13185. doi:10.1038/srep13185 NA NA
taxize 10.1111/ddi.12351 Dodd, A. J., Burgman, M. A., McCarthy, M. A., & Ainsworth, N. (2015). The changing patterns of plant naturalization in Australia. Diversity Distrib., 21(9), 1038–1050. doi:10.1111/ddi.12351 NA NA
rgbif 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rdryad 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rfisheries 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
RMendeley 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
treeBASE 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rfishbase 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
taxize 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rsnsps 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rvertnet 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rentrez 10.2478/cszma-2013-0004 Drozd, P., & Šipoš, J. (2013). R for all (I): Introduction to the new age of biological analyses. Casopis Slezskeho Zemskeho Muzea (A), 62(1). doi:10.2478/cszma-2013-0004 NA NA
rfishbase 10.1016/j.aquaculture.2016.04.018 Froehlich, H. E., Gentry, R. R., & Halpern, B. S. (2016). Synthesis and comparative analysis of physiological tolerance and life-history growth traits of marine aquaculture species. Aquaculture, 460, 75–82. doi:10.1016/j.aquaculture.2016.04.018 NA NA
taxize 10.12688/f1000research.2-191.v1 Chamberlain, S. A., & Szöcs, E. (2013). taxize: taxonomic search and retrieval in R. F1000Res. doi:10.12688/f1000research.2-191.v1 NA NA
rplos 10.7717/peerj.1935 Hartgerink, C. H. J., van Aert, R. C. M., Nuijten, M. B., Wicherts, J. M., & van Assen, M. A. L. M. (2016). Distributions ofp-values smaller than .05 in psychology: what is going on? PeerJ, 4, e1935. doi:10.7717/peerj.1935 NA NA
taxize 10.1111/mec.13026 Hodgins, K. A., Bock, D. G., Hahn, M. A., Heredia, S. M., Turner, K. G., & Rieseberg, L. H. (2015). Comparative genomics in the Asteraceae reveals little evidence for parallel evolutionary change in invasive taxa. Mol Ecol, 24(9), 2226–2240. doi:10.1111/mec.13026 NA NA
ropensci 10.1890/es14-00198.1 Jørgensen, P. S., Barraquand, F., Bonhomme, V., Curran, T. J., Cieraad, E., Ezard, T. G., … Zimmerman, N. (2015). Connecting people and ideas from around the world: global innovation platforms for next-generation ecology and beyond. Ecosphere, 6(4), art68. doi:10.1890/es14-00198.1 NA NA
rgbif 10.1371/journal.pone.0128295 Kong, X., Huang, M., & Duan, R. (2015). SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records. PLoS ONE, 10(6), e0128295. doi:10.1371/journal.pone.0128295 NA NA
taxize 10.1186/s40709-015-0032-5 Lapatas, V., Stefanidakis, M., Jimenez, R. C., Via, A., & Schneider, M. V. (2015). Data integration in biological research: an overview. J of Biol Res-Thessaloniki, 22(1). doi:10.1186/s40709-015-0032-5 NA NA
rfishbase 10.1126/science.aab0800 McGee, M. D., Borstein, S. R., Neches, R. Y., Buescher, H. H., Seehausen, O., & Wainwright, P. C. (2015). A pharyngeal jaw evolutionary innovation facilitated extinction in Lake Victoria cichlids. Science, 350(6264), 1077–1079. doi:10.1126/science.aab0800 NA NA
ropensci 10.1080/07317131.2015.1059681 Mitchell, E. T. (2015). Reproducibility and Its Application to Technical Service Processes. Technical Services Quarterly, 32(4), 402–413. doi:10.1080/07317131.2015.1059681 NA NA
taxize 10.1111/2041-210x.12600 Niedballa, J., Sollmann, R., Courtiol, A., & Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution. doi:10.1111/2041-210x.12600 NA NA
taxize 10.1002/pca.2520 Ningthoujam, S. S., Choudhury, M. D., Potsangbam, K. S., Chetia, P., Nahar, L., Sarker, S. D., … Talukdar, A. D. (2014). NoSQL Data Model for Semi-automatic Integration of Ethnomedicinal Plant Data from Multiple Sources. Phytochemical Analysis, 25(6), 495–507. doi:10.1002/pca.2520 NA NA
taxize 10.3897/zookeys.552.6934 Pérez-Luque, A. J., Barea-Azcón, J. M., Álvarez-Ruiz, L., Bonet-García, F. J., & Zamora, R. (2016). Dataset of Passerine bird communities in a Mediterranean high mountain (Sierra Nevada, Spain). ZK, 552, 137–154. doi:10.3897/zookeys.552.6934 NA NA
rbrefdata 10.1002/ece3.1547 Pfaff, C.-T., König-Ries, B., Lang, A. C., Ratcliffe, S., Wirth, C., Man, X., & Nadrowski, K. (2015). rBEFdata: documenting data exchange and analysis for a collaborative data management platform. Ecology and Evolution, 5(14), 2890–2897. doi:10.1002/ece3.1547 NA NA
AntWeb 10.1111/een.12306 PIE, M. R. (2016). The macroevolution of climatic niches and its role in ant diversification. Ecological Entomology, 41(3), 301–307. doi:10.1111/een.12306 NA NA
rfishbase 10.1007/s11538-016-0143-7 Plank, M. J., Pitchford, J. W., & James, A. (2016). Evolutionarily Stable Strategies for Fecundity and Swimming Speed of Fish. Bull Math Biol, 78(2), 280–292. doi:10.1007/s11538-016-0143-7 NA NA
taxize 10.4033/iee.2015.8.8.f Poisot, T. (2015). Best publishing practices to improve user confidence in scientific software. IEE, 8. doi:10.4033/iee.2015.8.8.f NA NA
ropensci 10.1002/ece3.508 Poisot, T., Péquin, B., & Gravel, D. (2013). High-Throughput Sequencing: A Roadmap Toward Community Ecology. Ecology and Evolution, 3(4), 1125–1139. doi:10.1002/ece3.508 NA NA
taxize 10.1002/ece3.1246 Pos, E., Guevara Andino, J. E., Sabatier, D., Molino, J.-F., Pitman, N., Mogollón, H., … ter Steege, H. (2014). Are all species necessary to reveal ecologically important patterns? Ecology and Evolution, 4(24), 4626–4636. doi:10.1002/ece3.1246 NA NA
rfishbase 10.1098/rspb.2015.1428 Price, S. A., Friedman, S. T., & Wainwright, P. C. (2015). How predation shaped fish: the impact of fin spines on body form evolution across teleosts. Proc. R. Soc. B, 282(1819), 20151428. doi:10.1098/rspb.2015.1428 NA NA
rgbif 10.2989/20702620.2014.999305 Richardson, D. M., Le Roux, J. J., & Wilson, J. R. (2015). Australian acacias as invasive species: lessons to be learnt from regions with long planting histories. Southern Forests: a Journal of Forest Science, 77(1), 31–39. doi:10.2989/20702620.2014.999305 NA NA
rfishbase 10.1111/ecog.01348 Sagouis, A., Cucherousset, J., Villéger, S., Santoul, F., & Boulêtreau, S. (2015). Non-native species modify the isotopic structure of freshwater fish communities across the globe. Ecography, 38(10), 979–985. doi:10.1111/ecog.01348 NA NA
rgbif 10.1002/ece3.1599 Turner, K. G., Fréville, H., & Rieseberg, L. H. (2015). Adaptive plasticity and niche expansion in an invasive thistle. Ecology and Evolution, 5(15), 3183–3197. doi:10.1002/ece3.1599 NA NA
ropensci 10.3390/jmse3041448 Vandepitte, L., Vanhoorne, B., Decock, W., Dekeyzer, S., Trias Verbeeck, A., Bovit, L., … Mees, J. (2015). How Aphia—The Platform behind Several Online and Taxonomically Oriented Databases—Can Serve Both the Taxonomic Community and the Field of Biodiversity Informatics. Journal of Marine Science and Engineering, 3(4), 1448–1473. doi:10.3390/jmse3041448 NA NA
paleobioDB 10.1111/ecog.01154 Varela, S., González-Hernández, J., Sgarbi, L. F., Marshall, C., Uhen, M. D., Peters, S., & McClennen, M. (2014). paleobioDB: an R package for downloading, visualizing and processing data from the Paleobiology Database. Ecography, 38(4), 419–425. doi:10.1111/ecog.01154 NA NA
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taxize 10.1890/15-1397.1 Bachelot, B., Uriarte, M., Zimmerman, J. K., Thompson, J., Leff, J. W., Asiaii, A., … McGuire, K. (2016). Long-lasting effects of land use history on soil fungal communities in second-growth tropical rain forests. Ecol Appl. doi:10.1890/15-1397.1 NA NA
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rfishbase 10.1007/s00338-015-1326-7 Price, S. A., Claverie, T., Near, T. J., & Wainwright, P. C. (2015). Phylogenetic insights into the history and diversification of fishes on reefs. Coral Reefs, 34(4), 997–1009. doi:10.1007/s00338-015-1326-7 NA NA
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rgbif 10.1073/pnas.1424030112 Werner, G. D. A., Cornwell, W. K., Cornelissen, J. H. C., & Kiers, E. T. (2015). Evolutionary signals of symbiotic persistence in the legume–rhizobia mutualism. Proc Natl Acad Sci USA, 112(33), 10262–10269. doi:10.1073/pnas.1424030112 NA NA
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rfishbase 10.1111/jzs.12103 Collins, R. A., Britz, R., & Rüber, L. (2015). Phylogenetic systematics of leaffishes (Teleostei: Polycentridae, Nandidae). Journal of Zoological Systematics and Evolutionary Research, 53(4), 259–272. doi:10.1111/jzs.12103 NA NA
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rfishbase 10.1080/00028487.2015.1111253 Schaefer, J., Frazier, N., & Barr, J. (2015). Dynamics of Near-Coastal Fish Assemblages following the Deepwater Horizon Oil Spill in the Northern Gulf of Mexico. Transactions of the American Fisheries Society, 145(1), 108–119. doi:10.1080/00028487.2015.1111253 NA NA
taxize 10.7717/peerj-cs.56 Schwery, O., & O’Meara, B. C. (2016). MonoPhy : a simple R package to find and visualize monophyly issues . PeerJ Computer Science, 2, e56. doi:10.7717/peerj-cs.56 NA NA
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rotl 10.1098/rspb.2018.2378 Ohmer, M. E. B., Cramp, R. L., White, C. R., Harlow, P. S., McFadden, M. S., Merino-Viteri, A., … Franklin, C. E. (2019). Phylogenetic investigation of skin sloughing rates in frogs: relationships with skin characteristics and disease-driven declines. Proceedings of the Royal Society B: Biological Sciences, 286(1896), 20182378. <https://doi.org/10.1098/rspb.2018.2378> img/OhmerEtal2019RoyalSocietyProceedingsB.png skin sloughing rates in frogs in relation to disease
taxize 10.1186/s12864-019-5516-5 Srivastava, S., Avvaru, A. K., Sowpati, D. T., & Mishra, R. K. (2019). Patterns of microsatellite distribution across eukaryotic genomes. BMC Genomics, 20(1). <https://doi.org/10.1186/s12864-019-5516-5> img/SrivastavaEtal2019BMCGenomics.png microsatellite distribution across eukaryotic genomes
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tidyhydat 10.1016/j.rse.2019.02.011 Beaton, A., Whaley, R., Corston, K., & Kenny, F. (2019). Identifying historic river ice breakup timing using MODIS and Google Earth Engine in support of operational flood monitoring in Northern Ontario. <https://doi.org/10.1016/j.rse.2019.02.011> img/BeatonEtAlRemoteSensingoftheEnvironment.png comparison of manually classified and remotely sensed river ice breakup times
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CoordinateCleaner 10.1111/geb.12897 Karger, D. N., Kessler, M., Conrad, O., Weigelt, P., Kreft, H., König, C., & Zimmermann, N. E. (2019). Why tree lines are lower on islands-Climatic and biogeographic effects hold the answer. Global Ecology and Biogeography. <https://doi.org/10.1111/geb.12897> img/KargerEtal2019GlobalEcology&Biogeography.png why tree lines are lower on islands
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plotly 10.1038/s41467-019-09250-6 Kelly, M. J., So, J., Rogers, A. J., Gregory, G., Li, J., Zethoven, M., … Kats, L. M. (2019). Bcor loss perturbs myeloid differentiation and promotes leukaemogenesis. Nature Communications, 10(1). <https://doi.org/10.1038/s41467-019-09250-6> NA myeloid differentiation and leukaemogenesis
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MODIStsp 10.3390/environments6040040 Nghiem, J., Potter, C., & Baiman, R. (2019). Detection of Vegetation Cover Change in Renewable Energy Development Zones of Southern California Using MODIS NDVI Time Series Analysis, 2000 to 2018. Environments, 6(4), 40. <https://doi.org/10.3390/environments6040040> img/NghiemEtal2019Environments.png detection of vegetation cover change
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rgbif 10.1038/s41598-019-41948-x Medina, I. (2019). The role of the environment in the evolution of nest shape in Australian passerines. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-41948-x> img/Medina2019ScientificReports.png the role of environment in bird nest shape evolution
osmdata 10.1007/978-3-030-16184-2_49 Castro, R., Tierra, A., & Luna, M. (2019). Assessing the Horizontal Positional Accuracy in OpenStreetMap: A Big Data Approach. Lecture Notes in Control and Information Sciences, 513–523. <https://doi.org/10.1007/978-3-030-16184-2_49> img/CastroEtal2019bookchapter.png assessing the horizontal positional accuracy in OpenStreetMap
plotly NA Chakroborty, D., Kurppa, K. J., Paatero, I., Ojala, V. K., Koivu, M., Tamirat, M. Z., ... & Elenius, K. (2019). An unbiased in vitro screen for activating epidermal growth factor receptor mutations. Journal of Biological Chemistry, jbc-RA118. <http://www.jbc.org/content/early/2019/04/05/jbc.RA118.006336> NA epidermal growth factor receptor mutations
rgbif 10.1101/596072 Maarten van Zonneveld, Mohamed Rakha, Shin-yee Tan, Yu-yu Chou, Ching-huan Chang, Joyce Yen, Roland Schafleitner, Ramakrishnan Nair, Ken Naito, Svein Ø. Solberg. bioRxiv 596072; doi: <https://doi.org/10.1101/596072> img/vanZonneveldEtal2019bioRxiv-reprint.png stress resilience and crop wild relatives
taxize 10.1093/gigascience/giz029 Axtner, J., Crampton-Platt, A., Hörig, L. A., Mohamed, A., Xu, C. C. Y., Yu, D. W., & Wilting, A. (2019). An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies. GigaScience, 8(4). <https://doi.org/10.1093/gigascience/giz029> img/AxtnerEtal2019GigaScience.png laboratory workflow and database for larger scale environmental DNA studies
rnoaa 10.1002/ece3.5121 Blakey, R. V., Webb, E. B., Kesler, D. C., Siegel, R. B., Corcoran, D., & Johnson, M. (2019). Bats in a changing landscape: Linking occupancy and traits of a diverse montane bat community to fire regime. Ecology and Evolution. <https://doi.org/10.1002/ece3.5121> img/BlakeyEtal2019Ecology&Evolution.png montane bat communities and fire regimes
rgbif 10.1371/journal.pone.0215229 Miranda, L. S., Imperatriz-Fonseca, V. L., & Giannini, T. C. (2019). Climate change impact on ecosystem functions provided by birds in southeastern Amazonia. PLOS ONE, 14(4), e0215229. <https://doi.org/10.1371/journal.pone.0215229> img/MirandaEtal2019PLOSOne.png ecosystem functions provided by birds
skimr 10.1111/ijsa.12238 Rodrigues, S., Sinval, J., Queirós, C., Marôco, J., & Kaiseler, M. (2019). Transitioning from recruit to officer: An investigation of how stress appraisal and coping influence work engagement. International Journal of Selection and Assessment. <https://doi.org/10.1111/ijsa.12238> img/RodriguesEtal2019IntJSelectionAssessment.png Portuguese police officer work engagement
textreuse 10.1016/j.dib.2019.103907 Sanger, W., & Warin, T. (2019). Dataset of Jaccard similarity indices from 1,597 European political manifestos across 27 countries (1945–2017). Data in Brief, 103907. <https://doi.org/10.1016/j.dib.2019.103907> NA a dataset of similarities among political manifestos
rgbif 10.26496/bjz.2019.28 Van de Perre, F., Leirs, H., & Verheyen, E. (2019). Paleoclimate, ecoregion size, and degree of isolation explain regional biodiversity differences among terrestrial vertebrates within the Congo Basin. Belgian Journal of Zoology, 149(1). <https://doi.org/10.26496/bjz.2019.28> img/VanDePerreEtal2019BelgianJournalOfZoology.png regional biodiversity differences among vertebrates in the Congo Basin
rredlist 10.26496/bjz.2019.28 Van de Perre, F., Leirs, H., & Verheyen, E. (2019). Paleoclimate, ecoregion size, and degree of isolation explain regional biodiversity differences among terrestrial vertebrates within the Congo Basin. Belgian Journal of Zoology, 149(1). <https://doi.org/10.26496/bjz.2019.28> img/VanDePerreEtal2019BelgianJournalOfZoology.png regional biodiversity differences among vertebrates in the Congo Basin
neotoma NA Chileen, B. (2019). Vegetation response to wildfire and climate forcing in a Rocky Mountain lodgepole pine forest over the past 2,500 years. Thesis. <https://krex.k-state.edu/dspace/bitstream/handle/2097/39566/BarrieChileen2019.pdf?sequence=1> NA vegetation response to wildfire and climate forcing
FedData 10.1177/0361198119838266 Medury, A., Griswold, J. B., Huang, L., & Grembek, O. (2019). Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters. Transportation Research Record: Journal of the Transportation Research Board, 036119811983826. <https://doi.org/10.1177/0361198119838266> img/MeduryEtal2019TransportationResearchRecord.png pedestrian count methods
taxize 10.1073/pnas.1816367116 Conde, D. A., Staerk, J., Colchero, F., da Silva, R., Schöley, J., Baden, H. M., … Vaupel, J. W. (2019). Data gaps and opportunities for comparative and conservation biology. Proceedings of the National Academy of Sciences, 201816367. <https://doi.org/10.1073/pnas.1816367116> img/CondeEtal2019PNAS.png Demographic Species Knowledge Index
rgbif 10.1111/ecog.04327 Hoban, S., Dawson, A., Robinson, J. D., Smith, A. B., & Strand, A. E. (2019). Inference of biogeographic history by formally integrating distinct lines of evidence: genetic, environmental niche, and fossil. Ecography. <https://doi.org/10.1111/ecog.04327> img/HobanEtal2019Ecography.png a review of biogeographic history inference
spatsoc 10.1002/ece3.5071 Peignier, M., Webber, Q. M. R., Koen, E. L., Laforge, M. P., Robitaille, A. L., & Vander Wal, E. (2019). Space use and social association in a gregarious ungulate: Testing the conspecific attraction and resource dispersion hypotheses. Ecology and Evolution. <https://doi.org/10.1002/ece3.5071> img/PeignierEtal2019Ecology&Evolution.png space use and social association in a gregarious ungulate
plotly 10.1007/978-1-4842-4511-8 Campbell, M. (2019). Learn RStudio IDE. <https://doi.org/10.1007/978-1-4842-4511-8> img/Campbell2019BookLearnRStudioIDE.png a book for the RStudio IDE
pdftools 10.3390/jrfm12020073 Iqbal, J. (2019). Managerial Self-Attribution Bias and Banks’ Future Performance: Evidence from Emerging Economies. Journal of Risk and Financial Management, 12(2), 73. <https://doi.org/10.3390/jrfm12020073> img/Iqbal2019JRiskFinancialManagement.png predicting future peformance of banks
rfishbase 10.1038/s41586-019-1132-4 Pinsky, M. L., Eikeset, A. M., McCauley, D. J., Payne, J. L., & Sunday, J. M. (2019). Greater vulnerability to warming of marine versus terrestrial ectotherms. Nature, 569(7754), 108–111. <https://doi.org/10.1038/s41586-019-1132-4> img/PinskyEtal2019Nature.png marine vs. terrrestrial ectotherm vulnerability to warming
rnoaa 10.1038/s41586-019-1132-4 Pinsky, M. L., Eikeset, A. M., McCauley, D. J., Payne, J. L., & Sunday, J. M. (2019). Greater vulnerability to warming of marine versus terrestrial ectotherms. Nature, 569(7754), 108–111. <https://doi.org/10.1038/s41586-019-1132-4> img/PinskyEtal2019Nature.png marine vs. terrrestrial ectotherm vulnerability to warming
rgbif 10.1093/botlinnean/boz006 Bacci, L. F., Michelangeli, F. A., & Goldenberg, R. (2019). Revisiting the classification of Melastomataceae: implications for habit and fruit evolution. Botanical Journal of the Linnean Society, 190(1), 1–24. <https://doi.org/10.1093/botlinnean/boz006> img/BacciEtal2019BotanicalJLinneanSociety.png classification of Melastomataceae
rgbif NA Domingos, A. M. (2019). Oportunidades e desafios em macroecologia marinha. <https://repositorio.bc.ufg.br/tede/bitstream/tede/9530/5/Tese%20-%20Andr%C3%A9%20Menegotto%20Domingos%20-%202019.pdf> NA geographic variations in species diversity
plotly 10.1016/j.isprsjprs.2019.04.009 Seyednasrollah, B., Milliman, T., & Richardson, A. D. (2019). Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process. ISPRS Journal of Photogrammetry and Remote Sensing, 152, 132–144. <https://doi.org/10.1016/j.isprsjprs.2019.04.009> NA data extraction from digital repeat photography
hunspell NA Nicolas, G., Bai, X., & Fiske, S. T. (2019). Automated Dictionary Creation for Analyzing Text: An Illustration from Stereotype Content. <https://psyarxiv.com/afm8k/download?format=pdf> NA automated dictionary creation for analyzing text
taxize 10.1021/acs.est.9b00893 Van den Berg, S. J. P., Baveco, H., Butler, E., De Laender, F., Focks, A., Franco, A., … Van den Brink, P. J. (2019). Modeling the Sensitivity of Aquatic Macroinvertebrates to Chemicals Using Traits. Environmental Science & Technology. <https://doi.org/10.1021/acs.est.9b00893> NA modeling sensitivity of aquatic invertebrates to chemicals
plotly 10.5751/es-10899-240208 Van Strien, M. J., Huber, S. H., Anderies, J. M., & Grêt-Regamey, A. (2019). Resilience in social-ecological systems: identifying stable and unstable equilibria with agent-based models. Ecology and Society, 24(2). <https://doi.org/10.5751/es-10899-240208> NA social-ecological systems
hunspell NA Bayer, D., & Michael, S. (2019). Exploring the Daschle Collection using Text Mining. arXiv preprint arXiv:1904.12623 <https://arxiv.org/pdf/1904.12623> NA the (US) Senator Daschle Collection
tesseract NA Bayer, D., & Michael, S. (2019). Exploring the Daschle Collection using Text Mining. arXiv preprint arXiv:1904.12623 <https://arxiv.org/pdf/1904.12623> NA the (US) Senator Daschle Collection
iheatmapr NA Ruiz, J. L., & Gómez-Díaz, E. (2019). The second life of Plasmodium in the mosquito host: gene regulation on the move. Briefings in functional genomics. <https://www.ncbi.nlm.nih.gov/pubmed/31058281> img/Ruiz&Gomez-Diaz2019BriefingsFunctionalGenomics.png gene regulation in Plasmodium
rgbif 10.1093/icb/icz030 Baliga, V. B., & Mehta, R. S. (2019). Morphology, ecology, and biogeography of independent origins of cleaning behavior around the world. Integrative and comparative biology. <https://doi.org/10.1093/icb/icz030> img/Baliga&Mehta2019Integrative&ComparativeBiology.png evolution of cleaning behavior in fishes
assertr NA Estrela, M. J. (2019) JCSP 44 PCEMI 44 Master of Defence Studies Maîtrise en études de la défense. <https://www.cfc.forces.gc.ca/papers/csc/csc44/mds/estrela.pdf> NA female voluntary attrition in the Canadian Armed Forces
datastorr 10.1093/gigascience/giz035 Falster, D. S., FitzJohn, R. G., Pennell, M. W., & Cornwell, W. K. (2019). Datastorr: a workflow and package for delivering successive versions of “evolving data” directly into R. GigaScience, 8(5). <https://doi.org/10.1093/gigascience/giz035> img/FalsterEtal2019Gigascience.png a workflow and package for evolving data in R (the datastorr paper)
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