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name doi citation img_path research_snippet
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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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). <https://doi.org/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. <https://doi.org/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. F1000Research, 2, 191. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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). <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/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. <https://doi.org/10.1111/ecog.01154> NA NA
rgbif 10.1111/nph.13623 Verheijen, L. M., Aerts, R., Bönisch, G., Kattge, J., & Van Bodegom, P. M. (2015). Variation in trait trade-offs allows differentiation among predefined plant functional types: implications for predictive ecology. New Phytol, 209(2), 563–575. <https://doi.org/10.1111/nph.13623> NA NA
rplos 10.4033/iee.2015.8.9.c White, E. (2015). Some thoughts on best publishing practices for scientific software. IEE, 8. <https://doi.org/10.4033/iee.2015.8.9.c> NA NA
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rgbif 10.3897/bdj.7.e31817 Dillen, M., Groom, Q., Chagnoux, S., Güntsch, A., Hardisty, A., Haston, E., … Phillips, S. (2019). A benchmark dataset of herbarium specimen images with label data. Biodiversity Data Journal, 7. <https://10.3897/bdj.7.e31817> img/DillenEtal2019BiodiversityDataJournal.png benchmarking dataset of herbarium specimen images with label data
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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tabulizer 10.1051/kmae/2019001 Prats, J., & Danis, P.-A. (2019). An epilimnion and hypolimnion temperature model based on air temperature and lake characteristics. Knowledge & Management of Aquatic Ecosystems, (420), 8. <https://doi.org/10.1051/kmae/2019001> img/Prats&Danis2019KnowledgeManagementAquaticEcosystems.png a model to calculate temperature of upper and lower layers in inland water bodies
NLMR 10.1007/978-3-030-01989-1_3 Fletcher, R., & Fortin, M.-J. (2018). Land-Cover Pattern and Change. Spatial Ecology and Conservation Modeling, 55–100. <https://doi.org/10.1007/978-3-030-01989-1_3> img/Fletcher&Fortin2018SpatialEcologyAndConservationModeling-Book.png book Spatial Ecology and Conservation Modeling
neotoma 10.1016/j.quascirev.2019.01.014 Nanavati, W. P., Whitlock, C., Iglesias, V., & de Porras, M. E. (2019). Postglacial vegetation, fire, and climate history along the eastern Andes, Argentina and Chile (lat. 41–55°S). Quaternary Science Reviews, 207, 145–160. <https://doi.org/10.1016/j.quascirev.2019.01.014> img/NanavatiEtal2019QuaternaryScienceReviews.png postglacial vegetation, fire and climate history along the eastern Andes
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
rcrossref 10.1177/0956797619830326 Olsson-Collentine, A., van Assen, M. A. L. M., & Hartgerink, C. H. J. (2019). The Prevalence of Marginally Significant Results in Psychology Over Time. Psychological Science, 095679761983032. <https://doi.org/10.1177/0956797619830326> img/Olsson-CollentineEtal2019PsychologicalScience.png the prevalence of marginally significant results in psychology
rentrez 10.1016/j.ijpara.2018.12.005 Poulin, R., Hay, E., & Jorge, F. (2019). Taxonomic and geographic bias in the genetic study of helminth parasites. International Journal for Parasitology. <https://doi.org/10.1016/j.ijpara.2018.12.005> img/PoulinEtal2019InternationalJournalforParasitology.png taxonomic/geographic bias in the genetic study of helminths
rgbif 10.1007/s13213-019-1446-3 Piñar, G., Poyntner, C., Tafer, H., & Sterflinger, K. (2019). A time travel story: metagenomic analyses decipher the unknown geographical shift and the storage history of possibly smuggled antique marble statues. Annals of Microbiology. <https://doi.org/10.1007/s13213-019-1446-3> img/PinarEtal2019AnnalsOfMicrobiology.png metagenomic analyses to decipher geographical shift of smuggled antiques
rgbif 10.1038/s41598-019-40531-8 Dreyer, J. B. B., Higuchi, P., & Silva, A. C. (2019). Ligustrum lucidum W. T. Aiton (broad-leaf privet) demonstrates climatic niche shifts during global-scale invasion. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-40531-8> img/DreyerEtal2019ScientificReports.png climatic niche shifts during global-scale invasion
rgbif 10.1002/ece3.5029 Ludt, W. B., Bernal, M. A., Kenworthy, E., Salas, E., & Chakrabarty, P. (2019). Genomic, ecological, and morphological approaches to investigating species limits: A case study in modern taxonomy from Tropical Eastern Pacific surgeonfishes. Ecology and Evolution. <https://doi.org/10.1002/ece3.5029> img/LudtEtal2019Ecology&Evolution.png investigating species limits (a case study w/ Tropical Eastern Pacific surgeonfishes)
skimr NA Peruffo, E. Improving predictive maintenance classifiers of industrial sensors’ data using entropy. A case study. <http://trap.ncirl.ie/3429/1/eleonoraperuffo.pdf> NA improving predictive maintenance classifiers of industrial sensors data
rfishbase 10.1126/science.aau1758 Free, C. M., Thorson, J. T., Pinsky, M. L., Oken, K. L., Wiedenmann, J., & Jensen, O. P. (2019). Impacts of historical warming on marine fisheries production. Science, 363(6430), 979–983. <https://doi.org/10.1126/science.aau1758> img/FreeEtal2019Science.png the impacts of historical warming on marine fisheries production
rentrez 10.3390/v11030240 Phelps, K., Hamel, L., Alhmoud, N., Ali, S., Bilgin, R., Sidamonidze, K., … Olival, K. (2019). Bat Research Networks and Viral Surveillance: Gaps and Opportunities in Western Asia. Viruses, 11(3), 240. <https://doi.org/10.3390/v11030240> img/PhelpsEtal2019Viruses.png bat research networks in western Asia
rnoaa NA Angel, J., & Markus, M. (2019). Frequency Distributions of Heavy Precipitation in Illinois: Updated Bulletin 70. ISWS CR 2019-05. <https://www.ideals.illinois.edu/handle/2142/103172> img/Angel&Markus2019Bulletin.png frequency distributions of heavy precipitation in Illinois
RSelenium 10.1101/572883 Mitchell, J. M., & Moseley, H. N. B. (2019). Deriving Accurate Lipid Classification based on Molecular Formula. <https://doi.org/10.1101/572883> NA lipid classification based on molecular formula
tabulizer NA Solt, F. Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database [DRAFT]. <http://www.globalfactcheck.org/documents/2019-03-08%20Standardized%20World%20Income%20Inequality%20Database.%20updating_swiid%20Solt.pdf> NA income inequality across countries and over time
plotly 10.1101/573774 Michalak, W., Tsiamis, V., Schwämmle, V., & Rogowska-Wrzesińska, A. (2019). ComplexBrowser: a tool for identification and quantification of protein complexes in large scale proteomics datasets. <https://doi.org/10.1101/573774> img/MichalakEtal2019Biorxiv-Preprint.png a tool for identification/quantification of protein complexes
plotly 10.1186/s13104-019-4179-2 Su, W., Sun, J., Shimizu, K., & Kadota, K. (2019). TCC-GUI: a Shiny-based application for differential expression analysis of RNA-Seq count data. BMC Research Notes, 12(1). <https://doi.org/10.1186/s13104-019-4179-2> img/SuEtal2019BMCResearchNotes.png a Shiny app for differential expression analysis of RNA-seq data
taxize 10.1371/journal.pbio.3000183 König, C., Weigelt, P., Schrader, J., Taylor, A., Kattge, J., & Kreft, H. (2019). Biodiversity data integration--The significance of data resolution and domain. PLOS Biology, 17(3), e3000183. <https://doi.org/10.1371/journal.pbio.3000183> NA the significance of data resolution and domain on biodiversity data integration
plotly 10.1186/s12859-019-2718-4 Ravenhall, M., Campino, S., & Clark, T. G. (2019). SV-Pop: population-based structural variant analysis and visualization. BMC Bioinformatics, 20(1). <https://doi.org/10.1186/s12859-019-2718-4> img/RavenhallEtal2019BMCBioinformatics.png population-based structural variant analysis and visualization
taxize 10.32942/osf.io/c63vj Higino, G., & Vital, M. V. C. (2019). Mapping and understanding the digital biodiversity knowledge about vertebrates in the Atlantic Rainforest. <https://doi.org/10.32942/osf.io/c63vj> img/Higino&Vital2019Ecorxiv-preprint.png digital biodiversity knowledge of vertebrates in the Atlantic Rainforest
colocr 10.7287/peerj.preprints.27613v1 Ahmed, M., Lai, T. H., & Kim, D. R. (2019). colocr: An R package for conducting co-localization analysis on fluorescence microscopy images. <https://doi.org/10.7287/peerj.preprints.27613v1> NA NA
taxize 10.4490/algae.2019.34.2.26 Jo, J., Lee, H.-G., Kim, K. Y., & Park, C. (2019). SoEM: a novel PCR-free biodiversity assessment method based on small-organelles enriched metagenomics. ALGAE, 34(1), 57–70. <https://doi.org/10.4490/algae.2019.34.2.26> img/JoEtal2019Algae.png a biodiversity assessment method
rotl 10.1111/1365-2745.13170 Shefferson, R. P., Bunch, W., Cowden, C. C., Lee, Y., Kartzinel, T. R., Yukawa, T., … Jiang, H. (2019). Does evolutionary history determine specificity in broad ecological interactions? Journal of Ecology. <https://doi.org/10.1111/1365-2745.13170> img/SheffersonEtal2019JournalOfEcology.png looking at the role of evoluiontary history in ecological interactions
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
RSelenium NA Rybinski, K. 2019. A machine learning framework for automated analysis of central bank communication and media discourse. The case of Narodowy Bank Polski. Bank & Credit. 50(1): 1-20. <http://bankikredyt.nbp.pl/content/2019/01/BIK_01_2019_01.pdf> img/Rybinski2019Bank&Credit.png analysis of central bank communications
rotl 10.1111/brv.12509 Pinto, N. S., Palaoro, A. V., & Peixoto, P. E. C. (2019). All by myself? Meta‐analysis of animal contests shows stronger support for self than for mutual assessment models. Biological Reviews. <https://doi.org/10.1111/brv.12509> img/PintoEtal2019BiologicalReviews.png animals settle contests
weathercan NA Konzen, E., Shi, J. Q., & Wang, Z. (2019). Modelling Function-Valued Processes with Nonseparable Covariance Structure. arXiv preprint arXiv:1903.09981. <https://arxiv.org/pdf/1903.09981.pdf> img/KonzenEtal2019arXiv-preprint.png modelling multidimensional function-valued processes w/ nonseparable covariance structure
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
NLMR 10.21105/joss.00722 Harris, M. (2019). KLRfome - Kernel Logistic Regression on Focal Mean Embeddings. Journal of Open Source Software, 4(35), 722. <https://doi.org/10.21105/joss.00722> img/Harris2019JOSS.png an R package for predicting presence of archaeological sites
MODIStsp 10.1016/j.jag.2018.12.003 Marcos, B., Gonçalves, J., Alcaraz-Segura, D., Cunha, M., & Honrado, J. P. (2019). Improving the detection of wildfire disturbances in space and time based on indicators extracted from MODIS data: a case study in northern Portugal. International Journal of Applied Earth Observation and Geoinformation, 78, 77-85. <https://doi.org/10.1016/j.jag.2018.12.003> NA improving the detection of wildfire disturbances
CoordinateCleaner 10.1038/s41559-019-0842-1 De Frenne, P., Zellweger, F., Rodríguez-Sánchez, F., Scheffers, B. R., Hylander, K., Luoto, M., … Lenoir, J. (2019). Global buffering of temperatures under forest canopies. Nature Ecology & Evolution. <https://doi.org/10.1038/s41559-019-0842-1> img/DeFrenneEtal2019NatureEcology&Evolution.png buggering of temperatures under forest canopies
rcrossref 10.3390/publications7020023 Matthias, L., Jahn, N., & Laakso, M. (2019). The Two-Way Street of Open Access Journal Publishing - Flip It and Reverse It. Publications. 7(2), 23. <https://doi.org/10.3390/publications7020023> img/MatthiasEtal2019Publications.png journals that convert from OA to a subscription model
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; <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)
rentrez 10.12688/f1000research.18453.1 Barnett, A. G., & Moher, D. (2019). Turning the tables: A university league-table based on quality not quantity. F1000Research, 8, 583. <https://doi.org/10.12688/f1000research.18453.1> NA university rankings with good research practices
rotl 10.1098/rspb.2019.0174 Kovacevic, A., Latombe, G., & Chown, S. L. (2019). Rate dynamics of ectotherm responses to thermal stress. Proceedings of the Royal Society B: Biological Sciences, 286(1902), 20190174. <https://doi.org/10.1098/rspb.2019.0174> img/KovacevicEtal2019ProceedingsB.png ectotherm responses to thermal stress
rplos NA Schindler, D., Yordanova, K., & Krüger, F. An annotation scheme for references to research artefacts in scientific publications. <https://h-suwa.github.io/percomworkshops2019/papers/p52-schindler.pdf> NA annotation scheme for research artifact references
plotly 10.1021/acs.oprd.9b00065 Piccione, P. M., Baumeister, J., Salvesen, T., Grosjean, C., Flores, Y., Groelly, E., … Lothschütz, C. (2019). Solvent Selection Methods and Tool. Organic Process Research & Development, 23(5), 998–1016. <https://doi.org/10.1021/acs.oprd.9b00065> img/PiccioneEtal2019OrgProcessResDev.png interactive plotting tool for solvent selection
plotly 10.3390/pr7050251 Łagód, G., Duda, S. M., Majerek, D., Szutt, A., & Dołhańczuk-Śródka, A. (2019). Application of Electronic Nose for Evaluation of Wastewater Treatment Process Effects at Full-Scale WWTP. Processes, 7(5), 251. <https://doi.org/10.3390/pr7050251> NA wastewater treatment processes
plotly 10.1016/j.bpj.2019.04.024 Kirsch, S. A., & Böckmann, R. A. (2019). Coupling of Membrane Nanodomain Formation and Enhanced Electroporation near Phase Transition. Biophysical Journal. <https://doi.org/10.1016/j.bpj.2019.04.024> NA biophysics research
phylotaR 10.1093/icb/icz026 Evans, K. M., Vidal-García, M., Tagliacollo, V. A., Taylor, S. J., & Fenolio, D. B. (2019). Bony Patchwork: Mosaic Patterns of Evolution in the Skull of Electric Fishes (Apteronotidae: Gymnotiformes). Integrative and Comparative Biology. <https://doi.org/10.1093/icb/icz026> img/EvansEtal2019Integrative&ComparativeBiology.png skull evolution in electric fishes
eechidna NA Jeremy Forbes, Dianne Cook, Rob J Hyndman. 2019. Spatial modelling of the two-party preferred vote in Australian federal elections: 2001-2016. Monash Econometrics and Business Statistics Working Papers 8/19, Monash University, Department of Econometrics and Business Statistics. <https://ideas.repec.org/p/msh/ebswps/2019-8.html> NA spatial modelling of Australian votes
CoordinateCleaner 10.1111/jbi.13585 Colli‐Silva, M., Vasconcelos, T. N. C., & Pirani, J. R. (2019). Outstanding plant endemism levels strongly support the recognition of campo rupestre provinces in mountaintops of eastern South America. Journal of Biogeography. <https://doi.org/10.1111/jbi.13585> img/Colli-SilvaEtal2019JOfBiogeography.png support for distinct bioregions in South America
MODIStsp 10.1016/j.rse.2019.04.026 Bhattarai, N., Mallick, K., Stuart, J., Vishwakarma, B. D., Niraula, R., Sen, S., & Jain, M. (2019). An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data. Remote Sensing of Environment, 229, 69–92. <https://doi.org/10.1016/j.rse.2019.04.026> img/BhattaraiEtal2019RemoteSensingOfEnvironment.png evapotranspiration mapping framework
tokenizers NA Płaczek, A., Płuciennik, A., Pach, M., Jarząb, M., & Mrozek, D. (2019). The Role of Feature Selection in Text Mining in the Process of Discovering Missing Clinical Annotations – Case Study. Communications in Computer and Information Science, 248–262. <https://doi.org/10.1007/978-3-030-19093-4_19> NA feature selection in text mining
plotly 10.1016/j.foreco.2019.05.010 Germon, A., Jourdan, C., Bordron, B., Robin, A., Nouvellon, Y., Chapuis-Lardy, L., … Laclau, J.-P. (2019). Consequences of clear-cutting and drought on fine root dynamics down to 17 m in coppice-managed eucalypt plantations. Forest Ecology and Management, 445, 48–59. <https://doi.org/10.1016/j.foreco.2019.05.010> img/GermonEtal2019ForestEcology&Management.png effects of clear-cutting and drought on eucalypt plantations
clifro 10.1016/j.pocean.2019.05.005 Chambault, P., Baudena, A., Bjorndal, K. A., AR Santos, M., Bolten, A. B., & Vandeperre, F. (2019). Swirling in the ocean: immature loggerhead turtles seasonally target old anticyclonic eddies at the fringe of the North Atlantic gyre. Progress in Oceanography. <https://doi.org/10.1016/j.pocean.2019.05.005> img/ChambaultEtal2019ProgressInOceanography.png loggerhead turtle movement patterns
rgbif 10.1007/s00606-019-01583-5 Kadereit, J. W., Lauterbach, M., Kandziora, M., Spillmann, J., & Nyffeler, R. (2019). Dual colonization of European high-altitude areas from Asia by Callianthemum (Ranunculaceae). Plant Systematics and Evolution. <https://doi.org/10.1007/s00606-019-01583-5> NA Callianthemum colonization of European high-altitude areas
writexl 10.1016/j.postharvbio.2019.04.023 Ktenioudaki, A., O’Donnell, C. P., & do Nascimento Nunes, M. C. (2019). Modelling the biochemical and sensory changes of strawberries during storage under diverse relative humidity conditions. Postharvest Biology and Technology, 154, 148–158. <https://doi.org/10.1016/j.postharvbio.2019.04.023> NA biochemical and sensory changes in strawberries
MODIStsp 10.4081/gh.2019.676 Adeola, A. M., Botai, J. O., Mukarugwiza Olwoch, J., DeW. Rautenbach, H. C. J., Adisa, O. M., De Jager, C., … Aaron, M. (2019). Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa. Geospatial Health, 14(1). <https://doi.org/10.4081/gh.2019.676> NA predicting malaria cases using remotely sensed data
magick 10.1007/s00468-019-01868-9 Salazar, P. C., Navarro-Cerrillo, R. M., Cruz, G., Grados, N., & Villar, R. (2019). Variability in growth and biomass allocation and the phenotypic plasticity of seven Prosopis pallida populations in response to water availability. Trees. <https://doi.org/10.1007/s00468-019-01868-9> NA growth and biomass allocation in Prosopis trees
plotly 10.1371/journal.pone.0215722 Best, B. D., & Halpin, P. N. (2019). Minimizing wildlife impacts for offshore wind energy development: Winning tradeoffs for seabirds in space and cetaceans in time. PLOS ONE, 14(5), e0215722. <https://doi.org/10.1371/journal.pone.0215722> img/Best&Halpin2019PlosOne.png minimizing impacts of wind energy
rentrez 10.1093/nar/gkz405 Mann, C. M., Martínez-Gálvez, G., Welker, J. M., Wierson, W. A., Ata, H., Almeida, M. P., … Dobbs, D. (2019). The Gene Sculpt Suite: a set of tools for genome editing. Nucleic Acids Research. <https://doi.org/10.1093/nar/gkz405> img/MannEtal2019NucleicAcidsResearch.png tools for genome editing
RSelenium NA da Silva, L. T., de Oliveira, I. L., Dantas, T., & Miranda, V. G. 2019. Studies of new data sources and techniques to improve CPI compilation in Brazil. 16th meeting of the Ottawa Group, Rio de Janeiro, Brazil. <https://eventos.fgv.br/sites/eventos.fgv.br/files/arquivos/u161/study_of_new_data_sources_snipc_lincoln_da_silva.pdf> NA techniques to improve consumer price index
taxize 10.1093/nar/gkz438 Lin, B. Y., Chan, P. P., & Lowe, T. M. (2019). tRNAviz: explore and visualize tRNA sequence features. Nucleic Acids Research. <https://doi.org/10.1093/nar/gkz438> img/LinEtal2019NucleicAcidsResearch.png visualizing tRNA sequences
nlrx NA Salecker, Jan; Dislich, Claudia; Wiegand, Kerstin; Meyer, Katrin M.; Pe'er,Guy (2019) : EFForTS-LGraf: A landscape generator for creating smallholder-driven land-use mosaics, EFForTS Discussion Paper Series, No. 29, Collaborative Research Centre990 - EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland RainforestTransformation Systems. <https://www.econstor.eu/bitstream/10419/196610/1/1665217219.pdf> NA land use mosaics
lingtypology 10.1007/978-3-319-73400-2_131-1 Comrie, B. (2019). Mapping the World’s Languages: From Data via Purpose to Representation. Handbook of the Changing World Language Map, 1–16. <https://doi.org/10.1007/978-3-319-73400-2_131-1> img/Comrie2019BookCh.png mapping the world's languages
taxize 10.1111/jvs.12763 Sporbert, M., Bruelheide, H., Seidler, G., Keil, P., Jandt, U., Austrheim, G., … Welk, E. (2019). Assessing sampling coverage of species distribution in biodiversity databases. Journal of Vegetation Science. <https://doi.org/10.1111/jvs.12763> img/SporbertEtal2019JournalOfVegetationScience.png sampling coverage of species distributions in biodiversity databases
hydroscoper 10.3390/w11051050 Vantas, K., Sidiropoulos, E., & Loukas, A. (2019). Robustness Spatiotemporal Clustering and Trend Detection of Rainfall Erosivity Density in Greece. Water, 11(5), 1050. <https://doi.org/10.3390/w11051050> img/VantasEtal2019Water.png rainfall erosivity in Greece
rgbif 10.1111/geb.12923 Schubert, M., Marcussen, T., Meseguer, A. S., & Fjellheim, S. (2019). The grass subfamily Pooideae: Cretaceous–Palaeocene origin and climate‐driven Cenozoic diversification. Global Ecology and Biogeography. <https://doi.org/10.1111/geb.12923> img/SchubertEtal2019GlobalEcology&Biogeography.png origin and climate‐driven diversification in grasses
taxize 10.1038/s41586-019-1128-0 Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., … Peay, K. G. (2019). Climatic controls of decomposition drive the global biogeography of forest-tree symbioses. Nature, 569(7756), 404–408. <https://doi.org/10.1038/s41586-019-1128-0> img/SteidingerEtal2019Nature.png decomposition and forest-tree symbioses
RSelenium NA Mitchell, J. M. (2019). Computational Tools for the Untargeted Assignment of FT-MS Metabolomics Datasets. Dissertation. <https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1042&context=biochem_etds> NA tools for metabolomics work
taxize 10.1016/j.ecolind.2019.04.088 Bagley, M., Pilgrim, E., Knapp, M., Yoder, C., Santo Domingo, J., & Banerji, A. (2019). High-throughput environmental DNA analysis informs a biological assessment of an urban stream. Ecological Indicators, 104, 378–389. <https://doi.org/10.1016/j.ecolind.2019.04.088> NA high-throughput environmental DNA and biological assessment
taxize 10.1111/1365-2745.13203 Foisy, M. R., Albert, L. P., Hughes, D. W. W., & Weber, M. G. (2019). Do latex and resin canals spur plant diversification? Re‐examining a classic example of escape and radiate coevolution. Journal of Ecology. <https://doi.org/10.1111/1365-2745.13203> img/FoisyEtal2019JEcology.png whether latex and resin canals spur plant diversification
plotly 10.1016/j.cmpb.2019.05.023 Ogłuszka, M., Orzechowska, M., Jędroszka, D., Witas, P., & Bednarek, A. K. (2019). Evaluate Cutpoints: Adaptable continuous data distribution system for determining survival in Kaplan-Meier estimator. Computer Methods and Programs in Biomedicine, 177, 133–139. <https://doi.org/10.1016/j.cmpb.2019.05.023> NA biomedical methods
rgbif 10.1016/j.algal.2019.101529 Westmeijer, G., Everaert, G., Pirlet, H., De Clerck, O., & Vandegehuchte, M. B. (2019). Mechanistic niche modelling to identify favorable growth sites of temperate macroalgae. Algal Research, 41, 101529. <https://doi.org/10.1016/j.algal.2019.101529> img/WestmeijerEtal2019AlgalResearch.png favorable growth sites for macroalgae
plotly 10.1098/rsbl.2019.0133 Kortz, A. R., & Magurran, A. E. (2019). Increases in local richness (α-diversity) following invasion are offset by biotic homogenization in a biodiversity hotspot. Biology Letters, 15(5), 20190133. <https://doi.org/10.1098/rsbl.2019.0133> NA biological diveristy in the Brazilian Cerrado
plotly 10.1093/nar/gkz411 Pérez-Palma, E., Gramm, M., Nürnberg, P., May, P., & Lal, D. (2019). Simple ClinVar: an interactive web server to explore and retrieve gene and disease variants aggregated in ClinVar database. Nucleic Acids Research. <https://doi.org/10.1093/nar/gkz411> NA a web tool for exploring genes
hunspell 10.12688/gatesopenres.12999.1 Green, E. P., Whitcomb, A., Kahumbura, C., Rosen, J. G., Goyal, S., Achieng, D., & Bellows, B. (2019). What is the best method of family planning for me?: a text mining analysis of messages between users and agents of a digital health service in Kenya. Gates Open Research, 3, 1475. <https://doi.org/10.12688/gatesopenres.12999.1> NA text mining digital health data
cld2 10.12688/gatesopenres.12999.1 Green, E. P., Whitcomb, A., Kahumbura, C., Rosen, J. G., Goyal, S., Achieng, D., & Bellows, B. (2019). What is the best method of family planning for me?: a text mining analysis of messages between users and agents of a digital health service in Kenya. Gates Open Research, 3, 1475. <https://doi.org/10.12688/gatesopenres.12999.1> NA text mining digital health data
rotl 10.1007/s00338-019-01820-w Mihalitsis, M., & Bellwood, D. R. (2019). Morphological and functional diversity of piscivorous fishes on coral reefs. Coral Reefs. <https://doi.org/10.1007/s00338-019-01820-w> img/Mihalitsis&Bellwood2019CoralReefs.png diversity of piscivorous fishes on coral reefs
MODISTools 10.1111/gcb.14710 Kannenberg, S. A., Novick, K. A., Alexander, M. R., Maxwell, J. T., Moore, D. J. P., Phillips, R. P., & Anderegg, W. R. L. (2019). Linking drought legacy effects across scales: From leaves to tree rings to ecosystems. Global Change Biology. <https://doi.org/10.1111/gcb.14710> NA drought legacy effects on ecosystems
plotly 10.1111/2041-210x.13232 Aspillaga, E., Safi, K., Hereu, B., & Bartumeus, F. (2019). Modelling the three‐dimensional space use of aquatic animals combining topography and Eulerian telemetry data. Methods in Ecology and Evolution. <https://doi.org/10.1111/2041-210x.13232> img/AspillagaEtal2019MethodsInEcology&Evolution.png modelling 3d space use of aquatic animals
plotly 10.1038/s41598-019-43875-3 Gibson, K. M., Nguyen, B. N., Neumann, L. M., Miller, M., Buss, P., Daniels, S., … Pukazhenthi, B. (2019). Gut microbiome differences between wild and captive black rhinoceros – implications for rhino health. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-43875-3> NA gut microbiome health in the black rhinoceros
skimr 10.1007/s11482-019-09730-3 Sinval, J., Sirgy, M. J., Lee, D.-J., & Marôco, J. (2019). The Quality of Work Life Scale: Validity Evidence from Brazil and Portugal. Applied Research in Quality of Life. <https://doi.org/10.1007/s11482-019-09730-3> NA the Quality of Work Life Scale (QWLS)
hunspell NA Iserman, M., Nalabandian, T., & Ireland, M. (2019, June). Dictionaries and Decision Trees for the 2019 CLPsych Shared Task. In Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology (pp. 188-194). <https://www.aclweb.org/anthology/W19-3025> NA dictionares and decision trees
rfishbase 10.1111/jbi.13595 Goodman, M. C., Hannah, S. M., & Ruttenberg, B. I. (2019). The relationship between geographic range extent, sea surface temperature and adult traits in coastal temperate fishes. Journal of Biogeography. <https://doi.org/10.1111/jbi.13595> img/GoodmanEtal2019JournalOfBiogeography.png the influence of ocean basin, traits and sea surface temperature on ranges
RSelenium 10.1002/joc.6177 Fioravanti, G., Piervitali, E., & Desiato, F. (2019). A new homogenized daily data set for temperature variability assessment in Italy. International Journal of Climatology. <https://doi.org/10.1002/joc.6177> NA a dataset for temperature variability assessment in Italy
magick 10.1016/j.chemosphere.2019.05.246 Logemann, A., Schafberg, M., & Brockmeyer, B. (2019). Using the HPTLC-bioluminescence bacteria assay for the determination of acute toxicities in marine sediments and its eligibility as a monitoring assessment tool. Chemosphere. <https://doi.org/10.1016/j.chemosphere.2019.05.246> NA bioluminescence bacteria assays
rentrez NA Al-Mustanjid, A. (2019). Design of a common pathway drug for all types of cardiovascular diseases: A network biology approach. Network Biology, 9(2), 28. <http://www.iaees.org/publications/journals/nb/articles/2019-9(2)/design-of-a-common-pathway-drug-for-cardiovascular-diseases.pdf> NA cardiovascular diseases
MODISTools 10.1186/s40795-019-0296-5 Wambui, K. M., & Musenge, E. (2019). A space-time analysis of recurrent malnutrition-related hospitalisations in Kilifi, Kenya for children under-5 years. BMC Nutrition, 5(1). <https://doi.org/10.1186/s40795-019-0296-5> NA malnutrition in Kilifi, Kenya
plotly 10.1186/s40168-019-0702-x Wright, R. J., Gibson, M. I., & Christie-Oleza, J. A. (2019). Understanding microbial community dynamics to improve optimal microbiome selection. Microbiome, 7(1). <https://doi.org/10.1186/s40168-019-0702-x> NA improving optimal microbiome selection
FedData 10.1111/tbed.13265 Meisner, J., Clifford, W. R., Wohrle, R. D., Kangiser, D., & Rabinowitz, P. (2019). Soil and climactic predictors of canine coccidioidomycosis seroprevalence in Washington State: an ecological cross‐sectional study. Transboundary and Emerging Diseases. <https://doi.org/10.1111/tbed.13265> NA soil and climate predictors of a canine infection
rotl 10.1016/j.biocon.2019.05.054 Tetzlaff, S. J., Sperry, J. H., & DeGregorio, B. A. (2019). Effects of antipredator training, environmental enrichment, and soft release on wildlife translocations: A review and meta-analysis. Biological Conservation, 236, 324–331. <https://doi.org/10.1016/j.biocon.2019.05.054> NA wildlife translocations
rredlist 10.1111/jbi.13619 Alhajeri, B. H., & Fourcade, Y. (2019). High correlation between species‐level environmental data estimates extracted from IUCN expert range maps and from GBIF occurrence data. Journal of Biogeography. <https://doi.org/10.1111/jbi.13619> img/Alhajeri&Fourcade2019JournalOfBiogeography.png species-level environmental data derived from IUCN vs. GBIF
rgbif 10.1111/jbi.13619 Alhajeri, B. H., & Fourcade, Y. (2019). High correlation between species‐level environmental data estimates extracted from IUCN expert range maps and from GBIF occurrence data. Journal of Biogeography. <https://doi.org/10.1111/jbi.13619> img/Alhajeri&Fourcade2019JournalOfBiogeography.png species-level environmental data derived from IUCN vs. GBIF
taxize 10.3390/genes10060431 Boggs, Scheible, Machado, & Meiklejohn. (2019). Single Fragment or Bulk Soil DNA Metabarcoding: Which is Better for Characterizing Biological Taxa Found in Surface Soils for Sample Separation? Genes, 10(6), 431. <https://doi.org/10.3390/genes10060431> NA comparing single fragment vs. bulk soil DNA metabarcoding
rgbif 10.3897/zookeys.852.28567 Ros-Candeira, A., Pérez-Luque, A. J., Suárez-Muñoz, M., Bonet-García, F. J., Hódar, J. A., Giménez de Azcárate, F., & Ortega-Díaz, E. (2019). Dataset of occurrence and incidence of pine processionary moth in Andalusia, south Spain. ZooKeys, 852, 125–136. <https://doi.org/10.3897/zookeys.852.28567> img/Ros-CandeiraEtal2019Zookeys.png an occurrence dataset of the pest pine processionary moth
rfishbase 10.32942/osf.io/8cu4y Van Denderen, D., Gislason, H., & Andersen, K. H. (2019). Little difference in average fish growth and maximum size across temperatures. EcoEvoRxiv. <https://doi.org/10.32942/osf.io/8cu4y> img/vanDenderenEtal2019EcoEvoRxiv-Preprint.png fish size and growth
plotly 10.1111/1365-2656.13041 Bailey, L. D., Ens, B. J., Both, C., Heg, D., Oosterbeek, K., & van de Pol, M. (2019). Habitat selection can reduce effects of extreme climatic events in a long‐lived shorebird. Journal of Animal Ecology. <https://doi.org/10.1111/1365-2656.13041> img/BaileyEtal2019JournalOfAnimalEcology.png effects of climatic events on shorebirds
taxize 10.1371/journal.pone.0216723 Palacios-Abrantes, J., Cisneros-Montemayor, A. M., Cisneros-Mata, M. A., Rodríguez, L., Arreguín-Sánchez, F., Aguilar, V., … Cheung, W. W. L. (2019). A metadata approach to evaluate the state of ocean knowledge: Strengths, limitations, and application to Mexico. PLOS ONE, 14(6), e0216723. <https://doi.org/10.1371/journal.pone.0216723> NA evaluating ocean knowledge in Mexico
rotl 10.3897/biss.3.36207 McTavish, E. J. (2019). Linking Biodiversity Data Using Evolutionary History. Biodiversity Information Science and Standards, 3. <https://doi.org/10.3897/biss.3.36207> NA linking biodiversity data using evolutionary history
rfishbase 10.1016/j.biocon.2019.05.003 Nyboer, E. A., Liang, C., & Chapman, L. J. (2019). Assessing the vulnerability of Africa’s freshwater fishes to climate change: A continent-wide trait-based analysis. Biological Conservation, 236, 505–520. <https://doi.org/10.1016/j.biocon.2019.05.003> img/NyboerEtal2019BiologicalConservation.png assessing vulnerability of fishes to climate change
rredlist 10.1016/j.biocon.2019.05.003 Nyboer, E. A., Liang, C., & Chapman, L. J. (2019). Assessing the vulnerability of Africa’s freshwater fishes to climate change: A continent-wide trait-based analysis. Biological Conservation, 236, 505–520. <https://doi.org/10.1016/j.biocon.2019.05.003> img/NyboerEtal2019BiologicalConservation.png assessing vulnerability of fishes to climate change
phylotar 10.21105/joss.01350 Krah, F.-S., & Heibl, C. (2019). rGUIDANCE – alignment confidence score computation in R. Journal of Open Source Software, 4(36), 1350. <https://doi.org/10.21105/joss.01350> NA alignment confidence score computation in R
osmdata 10.1111/tbed.13267 Morelle, K., Jezek, M., Licoppe, A., & Podgorski, T. (2019). Deathbed choice by ASF‐infected wild boar can help find carcasses. Transboundary and Emerging Diseases. <https://doi.org/10.1111/tbed.13267> NA African swine fever in wild boars
rgbif 10.3897/biss.3.36207 McTavish, E. J. (2019). Linking Biodiversity Data Using Evolutionary History. Bio/diversity Information Science and Standards, 3. <https://doi.org/10.3897/biss.3.36207> NA linking biodiversity data using evolutionary history
rredlist 10.3897/bdj.7.e36226 Grattarola, F., Botto, G., da Rosa, I., Gobel, N., González, E., González, J., … Pincheira-Donoso, D. (2019). Biodiversidata: An Open-Access Biodiversity Database for Uruguay. Biodiversity Data Journal, 7. <https://doi.org/10.3897/bdj.7.e36226> img/GrattarolaEtal2019BiodiversityDataJournal.png a biodiversity database for Uruguay
taxize 10.3897/bdj.7.e36226 Grattarola, F., Botto, G., da Rosa, I., Gobel, N., González, E., González, J., … Pincheira-Donoso, D. (2019). Biodiversidata: An Open-Access Biodiversity Database for Uruguay. Biodiversity Data Journal, 7. <https://doi.org/10.3897/bdj.7.e36226> img/GrattarolaEtal2019BiodiversityDataJournal.png a biodiversity database for Uruguay
rotl 10.1016/j.bbapap.2019.06.010 Kravchuk, O. I., Lyupina, Y. V., Erokhov, P. A., Finoshin, A. D., Adameyko, K. I., Mishyna, M. Y., … Mikhailov, V. S. (2019). Characterization of the 20S proteasome of the lepidopteran, Spodoptera frugiperda. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. <https://doi.org/10.1016/j.bbapap.2019.06.010> NA sequencing a lepidopteran proteasome
stplanr 10.1177/2399808319857726 Yen, Y., Zhao, P., & Sohail, M. T. (2019). The morphology and circuity of walkable, bikeable, and drivable street networks in Phnom Penh, Cambodia. Environment and Planning B: Urban Analytics and City Science, 239980831985772. <https://doi.org/10.1177/2399808319857726> img/YenEtal2019UrbanAnalytics&CityScience.png street networks in Phnom Phen, Cambodia
taxize 10.3390/ijms20102397 Danella Figo, D., De Amicis, K., Neiva Santos de Aquino, D., Pomiecinski, F., Gadermaier, G., Briza, P., … Souza Santos, K. (2019). Cashew Tree Pollen: An Unknown Source of IgE-Reactive Molecules. International Journal of Molecular Sciences, 20(10), 2397. <https://doi.org/10.3390/ijms20102397> NA cashew tree pollen as an allergen
hydroscoper NA Kanterakis, G., Skoulikaris, C., & Dimitriou, E. Assessment of hydrological modelling behaviour at basin scale on the number of delineated sub-basins. Proceedings of the Seventh International Conference on Environmental Management, Engineering, Planning & Economics <https://www.researchgate.net/profile/Charalampos_Skoulikaris/publication/333652500_Assessment_of_hydrological_modelling_behaviour_at_basin_scale_on_the_number_of_delineated_sub-basins/links/5cfa46ba4585157d15991da1/Assessment-of-hydrological-modelling-behaviour-at-basin-scale-on-the-number-of-delineated-sub-basins.pdf> NA hydrological modelling
rfishbase 10.1016/j.pocean.2019.102124 Petrik, C. M., Stock, C. A., Andersen, K. H., van Denderen, P. D., & Watson, J. R. (2019). Bottom-up drivers of global patterns of demersal, forage, and pelagic fishes. Progress in Oceanography, 176, 102124. <https://doi.org/10.1016/j.pocean.2019.102124> img/PetrikEtal2019ProgressInOceanography.png drivers of global patterns of fishes
tokenizers NA Calderone, A. (2019). A Computational Analysis of Natural Languages to Build a Sentence Structure Aware Artificial Neural Network. arXiv preprint arXiv:1906.05491 <https://arxiv.org/pdf/1906.05491.pdf> img/Calderone2019arXiv.png sentence structure aware artificial neural network
rgbif 10.7717/peerj.6792 Uzma, Jiménez-Mejías, P., Amir, R., Hayat, M. Q., & Hipp, A. L. (2019). Timing and ecological priority shaped the diversification of sedges in the Himalayas. PeerJ, 7, e6792. <https://doi.org/10.7717/peerj.6792> img/UzmaEtal2019PeerJ.png sedge diversification in the Himalayas
rerddap 10.1038/s41598-019-44695-1 Baylis, A. M. M., Tierney, M., Orben, R. A., Warwick-Evans, V., Wakefield, E., Grecian, W. J., … Brickle, P. (2019). Important At-Sea Areas of Colonial Breeding Marine Predators on the Southern Patagonian Shelf. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-44695-1> img/BaylisEtal2019ScientificReports.png important colonial breeding areas for marine predators
plotly 10.1016/j.ajpath.2019.05.009 Nourbakhsh, M., Mansoor, A., Koro, K., Zhang, Q., & Minoo, P. (2019). Expression Profiling Reveals Involvement of WNT Pathway in the Malignant Progression of Sessile Serrated Adenomas. The American Journal of Pathology. <https://doi.org/10.1016/j.ajpath.2019.05.009> NA colorectal cancer
CoordinateCleaner 10.3897/biss.3.35829 Waller, J. (2019). Data Location Quality at GBIF. Biodiversity Information Science and Standards, 3. <https://doi.org/10.3897/biss.3.35829> NA GBIF data quality
rentrez 10.1016/j.gecco.2019.e00689 Shackleton, M. E., Rees, G. N., Watson, G., Campbell, C., & Nielsen, D. (2019). Environmental DNA reveals landscape mosaic of wetland plant communities. Global Ecology and Conservation, 19, e00689. <https://doi.org/10.1016/j.gecco.2019.e00689> NA landscape mosaics of wetland plant communities
MODIStsp 10.1177/0962280219856380 Nelli, L., Ferguson, H. M., & Matthiopoulos, J. (2019). Achieving explanatory depth and spatial breadth in infectious disease modelling: Integrating active and passive case surveillance. Statistical Methods in Medical Research, 096228021985638. <https://doi.org/10.1177/0962280219856380> img/NelliEtal2019StatisticalMethodsInMedicalResearch.png infectious disease modelling
plotly 10.1093/bioinformatics/btz409 Glicksberg, B. S., Oskotsky, B., Thangaraj, P. M., Giangreco, N., Badgeley, M. A., Johnson, K. W., … Butte, A. J. (2019). PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinformatics. <https://doi.org/10.1093/bioinformatics/btz409> NA visualization of patient clinical history
tacmagic 10.1111/jon.12646 Brown, E. E., Rashidi‐Ranjbar, N., Caravaggio, F., Gerretsen, P., Pollock, B. G., … Mulsant, B. H. (2019). Brain Amyloid PET Tracer Delivery is Related to White Matter Integrity in Patients with Mild Cognitive Impairment. Journal of Neuroimaging. <https://doi.org/10.1111/jon.12646> img/BrownEtal2019JournalOfNeuroimaging.png Alzheimer's disease
rentrez 10.1016/j.csbj.2019.06.019 Koppelstaetter, C., Leierer, J., Rudnicki, M., Kerschbaum, J., Kronbichler, A., Melk, A., … Perco, P. (2019). Computational Drug Screening Identifies Compounds Targeting Renal Age-associated Molecular Profiles. Computational and Structural Biotechnology Journal, 17, 843–853. <https://doi.org/10.1016/j.csbj.2019.06.019> NA compounds targeting renal age-associated molecular profiles
pdftools 10.1007/978-3-030-22646-6_3 Calero Valdez A., Ziefle M. (2019) Trends and Changes in the Field of HCI the Last Decade from the Perspective of HCII Conference. In: Kurosu M. (eds) Human-Computer Interaction. Perspectives on Design. HCII 2019. Lecture Notes in Computer Science, vol 11566. Springer, Cham <https://doi.org/10.1007/978-3-030-22646-6_3> NA trends and changes in human computer interaction research
rfishbase 10.1093/icb/icz119 Alfaro, M. E., Karan, E., Schwartz, S. T., & Shultz, A. J. (2019). The Evolution of Color Pattern in Butterflyfishes (Chaetodontidae). Integrative and Comparative Biology. <https://doi.org/10.1093/icb/icz119> img/AlfaroEtal2019Integrative&ComparativeBiology.png color pattern in Butterflyfishes
rgbif 10.1002/ecy.2817 Butterfield, B. J., Holmgren, C. A., Anderson, R. S., & Betancourt, J. L. (2019). Life history traits predict colonization and extinction lags of desert plant species since the Last Glacial Maximum. Ecology. <https://doi.org/10.1002/ecy.2817> NA colonization and extinction lags of desert plant species
CoordinateCleaner 10.1002/ecy.2817 Butterfield, B. J., Holmgren, C. A., Anderson, R. S., & Betancourt, J. L. (2019). Life history traits predict colonization and extinction lags of desert plant species since the Last Glacial Maximum. Ecology. <https://doi.org/10.1002/ecy.2817> NA colonization and extinction lags of desert plant species
rfishbase 10.1086/704713 Kovalenko, K. E., Johnson, L. B., Brady, V. J., Ciborowski, J. J. H., Cooper, M. J., Gathman, J. P., … Uzarski, D. G. (2019). Hotspots and bright spots in functional and taxonomic fish diversity. Freshwater Science, 000–000. <https://doi.org/10.1086/704713> img/KovalenkoEtal2019FreshwaterScience.png functional and taxonomic fish diversity
rentrez 10.1038/s41598-019-45857-x Ferraz, M. de A. M. M., Carothers, A., Dahal, R., Noonan, M. J., & Songsasen, N. (2019). Oviductal extracellular vesicles interact with the spermatozoon’s head and mid-piece and improves its motility and fertilizing ability in the domestic cat. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-45857-x> NA influence of oviductal extracellular vesicles on sperm function in domestic cats
tesseract 10.1109/compsac.2019.10184 Saxena, P., Saxena, D., Nie, X., Helmers, A., Ramachandran, N., Sakib, N., & Ahamed, S. (2019). Feature Boosting in Natural Image Classification. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). <https://doi.org/10.1109/compsac.2019.10184> img/SaxenaEtal2019IEEEConferencePaper.png natural image classification
MODIStsp 10.1007/978-3-030-24302-9_51 Pilogallo, A., Saganeiti, L., Scorza, F., & Murgante, B. (2019). Investigating Urban Growth Dynamic – Land Surface Temperature Relationship. Lecture Notes in Computer Science, 701–710. <https://doi.org/10.1007/978-3-030-24302-9_51> NA urban growth dynamics
neotoma NA Sang, Zihaohan. No-analog ecological communities since the last glacial maximum inferred from fossil pollen records for North America. Diss. University of Alberta, 2019. <https://sites.ualberta.ca/~ahamann/people/pdfs/Sang_2019_MSc.pdf> img/Sang2019MScThesis.png no-analog ecological communities
plotly 10.3390/cells8070675 Xia, Liu, Zhang, & Guo. (2019). GEDS: A Gene Expression Display Server for mRNAs, miRNAs and Proteins. Cells, 8(7), 675. <https://doi.org/10.3390/cells8070675> NA gene expression web application
plotly NA Burkett, Kaitlyn E. Who Is Ready To Retire: Your Average Life Expectancy And The Savings Needed To Support You. Diss. Appalachian State University, 2019. <https://libres.uncg.edu/ir/asu/f/Burkett_Kaitlyn_2019_Thesis.pdf> NA retirement savings
rfishbase 10.20944/preprints201907.0030.v1 Valdez, J. W., & Mandrekar, K. (2019). Assessing the Species in the CARES Preservation Program and the Role of Aquarium Hobbyists in Freshwater Fish Conservation. <https://doi.org/10.20944/preprints201907.0030.v1> NA role of aquarium hobbyists in freshwater fish conservation
rgbif 10.1016/j.ecolind.2019.105539 Correia, R. A., Ruete, A., Stropp, J., Malhado, A. C. M., dos Santos, J. W., Lessa, T., … Ladle, R. J. (2019). Using ignorance scores to explore biodiversity recording effort for multiple taxa in the Caatinga. Ecological Indicators, 106, 105539. <https://doi.org/10.1016/j.ecolind.2019.105539> img/CorreiaEtal2019EcologicalIndicators.png ignorance scores to measure recording effort
hunspell 10.2196/14499 Lin, C., Lou, Y.-S., Tsai, D.-J., Lee, C.-C., Hsu, C.-J., Wu, D.-C., … Fang, W.-H. (2019). Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study. JMIR Medical Informatics, 7(3), e14499. <https://doi.org/10.2196/14499> NA word embeddings for electronic health records
RNeXML 10.1186/s12859-019-2982-3 Stöver, B. C., Wiechers, S., & Müller, K. F. (2019). JPhyloIO: a Java library for event-based reading and writing of different phylogenetic file formats through a common interface. BMC Bioinformatics, 20(1). <https://doi.org/10.1186/s12859-019-2982-3> NA Java library for reading/writing phylogenetic file formats
spocc 10.1111/mec.15182 Myers, E. A., Xue, A. T., Gehara, M., Cox, C., Davis Rabosky, A. R., Lemos‐Espinal, J., … Burbrink, F. T. (2019). Environmental Heterogeneity and Not Vicariant Biogeographic Barriers Generate Community Wide Population Structure in Desert Adapted Snakes. Molecular Ecology. <https://doi.org/10.1111/mec.15182> img/MyersEtal2019MolecularEcology.png community structure in desert snakes
fingertipsR NA Van Schaik, P., Peng, Y., Ojelabi, A., & Ling, J. (2019). Explainable statistical learning in public health for policy development: the case of real-world suicide data. BMC medical research methodology, 19(1), 152. <https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0796-7> NA open data, statistics, and public health
taxize 10.1111/jbi.13653 Hagen, O., Vaterlaus, L., Albouy, C., Brown, A., Leugger, F., Onstein, R. E., … Pellissier, L. (2019). Mountain building, climate cooling and the richness of cold‐adapted plants in the Northern Hemisphere. Journal of Biogeography. <https://doi.org/10.1111/jbi.13653> img/HagenEtal2019JounalOfBiogeography.png the origins of cold-adapted plant species diversity
plotly 10.1038/s41467-019-11139-3 Carlström, K. E., Ewing, E., Granqvist, M., Gyllenberg, A., Aeinehband, S., Enoksson, S. L., … Piehl, F. (2019). Therapeutic efficacy of dimethyl fumarate in relapsing-remitting multiple sclerosis associates with ROS pathway in monocytes. Nature Communications, 10(1). <https://doi.org/10.1038/s41467-019-11139-3> img/CarlstromEtal2019NatureCommunications.png efficacy of a treatment for multiple sclerosis
plotly 10.2991/ijcis.d.190618.001 Dag, O., Karabulut, E., & Alpar, R. (2019). GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms—R Package and Web-Based Tool. International Journal of Computational Intelligence Systems, 12(2), 649. <https://doi.org/10.2991/ijcis.d.190618.001> NA web application for neural network algorithms
CoordinateCleaner 10.1111/jbi.13633 Wüest, R. O., Zimmermann, N. E., Zurell, D., Alexander, J. M., Fritz, S. A., Hof, C., … Karger, D. N. (2019). Macroecology in the age of Big Data – Where to go from here? Journal of Biogeography. <https://doi.org/10.1111/jbi.13633> NA recent developments in macroecology research
rnoaa NA Saunders, K. R., Stephenson, A. G., & Karoly, D. J. (2019). A Regionalisation Approach for Rainfall based on Extremal Dependence. arXiv preprint <https://arxiv.org/pdf/1907.05750.pdf> img/SaundersEtal2019arXiv-preprint.png a statistical regionalisation approach for rainfall extremes
rentrez 10.1111/2041-210x.13276 Collins, R. A., Bakker, J., Wangensteen, O. S., Soto, A. Z., Corrigan, L., Sims, D. W., … Mariani, S. (2019). Non‐specific amplification compromises environmental DNA metabarcoding with COI. Methods in Ecology and Evolution. <https://doi.org/10.1111/2041-210x.13276> NA metabarcoding methods
USABoundaries 10.31223/osf.io/k9wv6 Elsner, J. B., & Schroder, Z. (2019, July 18). Tornado damage ratings estimated with cumulative logistic regression. <https://doi.org/10.31223/osf.io/k9wv6> NA a statistical model to estimate tornado damage ratings
plotly 10.1177/0748730419862474 Abhilash, L., & Sheeba, V. (2019). RhythmicAlly: Your R and Shiny–Based Open-Source Ally for the Analysis of Biological Rhythms. Journal of Biological Rhythms, 074873041986247. <https://doi.org/10.1177/0748730419862474> NA a shiny application for biological rhythms
rotl 10.1111/ele.13343 Peters, A., Delhey, K., Nakagawa, S., Aulsebrook, A., & Verhulst, S. (2019). Immunosenescence in wild animals: meta‐analysis and outlook. Ecology Letters. <https://doi.org/10.1111/ele.13343> img/PetersEtal2019EcologyLetters.png immunosenescence in wild animals
rentrez 10.1186/s12864-019-5952-2 Die, J. V., Elmassry, M. M., LeBlanc, K. H., Awe, O. I., Dillman, A., & Busby, B. (2019). geneHummus: an R package to define gene families and their expression in legumes and beyond. BMC Genomics, 20(1). <https://doi.org/10.1186/s12864-019-5952-2> NA an R pkg to define gene families in legumes
FedData 10.3390/w11081540 Saadi, M., Oudin, L., & Ribstein, P. (2019). Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters. Water, 11(8), 1540. <https://doi.org/10.3390/w11081540> NA hydrological modelling
rgbif 10.3390/data4030107 Jaganathan, G. K., & Dalrymple, S. E. (2019). Internal Seed Structure of Alpine Plants and Extreme Cold Exposure. Data, 4(3), 107. <https://doi.org/10.3390/data4030107> NA seed structure of alpine plants
taxize 10.1093/cz/zoz037 Alhajeri, B. H., Porto, L., & Maestri, R. (2019). Habitat productivity is a poor predictor of body size in rodents. Current Zoology. <https://doi.org/10.1093/cz/zoz037> NA body size in rodents
rnaturalearth 10.1038/d41586-019-01885-1 Atickem, A., Stenseth, N. C., Fashing, P. J., Nguyen, N., Chapman, C. A., Bekele, A., … Kalbitzer, U. (2019). Build science in Africa. Nature, 570(7761), 297–300. <https://doi.org/10.1038/d41586-019-01885-1> img/AtickemEtal2019Nature.png building science in Africa
rgbif 10.1111/2041-210x.13276 Collins, R. A., Bakker, J., Wangensteen, O. S., Soto, A. Z., Corrigan, L., Sims, D. W., … Mariani, S. (2019). Non‐specific amplification compromises environmental DNA metabarcoding with COI. Methods in Ecology and Evolution. <https://doi.org/10.1111/2041-210x.13276> NA metabarcoding methods
bold 10.1111/2041-210x.13276 Collins, R. A., Bakker, J., Wangensteen, O. S., Soto, A. Z., Corrigan, L., Sims, D. W., … Mariani, S. (2019). Non‐specific amplification compromises environmental DNA metabarcoding with COI. Methods in Ecology and Evolution. <https://doi.org/10.1111/2041-210x.13276> NA metabarcoding methods
rfishbase 10.1111/2041-210x.13276 Collins, R. A., Bakker, J., Wangensteen, O. S., Soto, A. Z., Corrigan, L., Sims, D. W., … Mariani, S. (2019). Non‐specific amplification compromises environmental DNA metabarcoding with COI. Methods in Ecology and Evolution. <https://doi.org/10.1111/2041-210x.13276> NA metabarcoding methods
plotly 10.1186/s12866-019-1545-0 Van der Veer, C., Bruisten, S. M., van Houdt, R., Matser, A. A., Tachedjian, G., van de Wijgert, J. H. H. M., … van der Helm, J. J. (2019). Effects of an over-the-counter lactic-acid containing intra-vaginal douching product on the vaginal microbiota. BMC Microbiology, 19(1). <https://doi.org/10.1186/s12866-019-1545-0> NA effects of over the counter lactic-acid on vaginal microbiota
assertr 10.18637/jss.v090.i06 Petersen, A. H., & Ekstrøm, C. T. (2019). dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R. Journal of Statistical Software, 90(6). <https://doi.org/10.18637/jss.v090.i06> NA data cleaning tools in R
rdhs 10.1136/bmjgh-2019-001582 Watson, O. J., Sumner, K. M., Janko, M., Goel, V., Winskill, P., Slater, H. C., … Parr, J. B. (2019). False-negative malaria rapid diagnostic test results and their impact on community-based malaria surveys in sub-Saharan Africa. BMJ Global Health, 4(4), e001582. <https://doi.org/10.1136/bmjgh-2019-001582> NA malaria diagnostic tests
fulltext 10.1093/gigascience/giz092 Piper, A. M., Batovska, J., Cogan, N. O. I., Weiss, J., Cunningham, J. P., Rodoni, B. C., & Blacket, M. J. (2019). Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance. GigaScience, 8(8). <https://doi.org/10.1093/gigascience/giz092> NA DNA metabarcoding for insect surveillance
rentrez 10.1093/gigascience/giz092 Piper, A. M., Batovska, J., Cogan, N. O. I., Weiss, J., Cunningham, J. P., Rodoni, B. C., & Blacket, M. J. (2019). Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance. GigaScience, 8(8). <https://doi.org/10.1093/gigascience/giz092> NA DNA metabarcoding for insect surveillance
bold 10.1093/gigascience/giz092 Piper, A. M., Batovska, J., Cogan, N. O. I., Weiss, J., Cunningham, J. P., Rodoni, B. C., & Blacket, M. J. (2019). Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance. GigaScience, 8(8). <https://doi.org/10.1093/gigascience/giz092> NA DNA metabarcoding for insect surveillance
rentrez NA Macip Sancho, G. 2019. Deciphering host-pathogen interactions at the biomembrane interface, key to target therapeutical approaches against Mycoplasma genitalium. Masters Thesis. Universitat Oberta de Catalunya. <http://hdl.handle.net/10609/97806> NA therapeutical approaches against Mycoplasma genitalium
MODIStsp NA Sobreiro, J. F. F. 2019. Vegetation multitemporal responses to hydroclimate variations in the Espinhaço Range (Brazil). Masters Thesis. <http://hdl.handle.net/11449/183096> NA vegetation response to climate variation
plotly 10.1186/s13040-019-0204-1 Brionne, A., Juanchich, A., & Hennequet-Antier, C. (2019). ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity. BioData Mining, 12(1). <https://doi.org/10.1186/s13040-019-0204-1> NA an R package for clustering biological functions
plotly NA Fernandez-Basso, C., Ruiz, M. D., Delgado, M., & Martin-Bautista, M. J. (2019, August). A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules. In 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Atlantis Press. <https://download.atlantis-press.com/article/125914842.pdf> NA a comparison of tools for visualising association rules
MODISTools 10.1007/s10344-019-1303-5 Zanin, M., Bergamaschi, C. L., Ferreira, J. R., Mendes, S. L., & Oliveira Moreira, D. (2019). Dog days are just starting: the ecology invasion of free-ranging dogs (Canis familiaris) in a protected area of the Atlantic Forest. European Journal of Wildlife Research, 65(5). <https://doi.org/10.1007/s10344-019-1303-5> NA invasion of free-ranging dogs in protected areas
hunspell 10.1016/j.foodqual.2019.103751 Luc, A., Lê, S., & Philippe, M. (2019). Nudging consumers for relevant data using Free JAR profiling: an application to product development. Food Quality and Preference, 103751. <https://doi.org/10.1016/j.foodqual.2019.103751> NA food consumers (cited only)
spelling 10.1016/j.foodqual.2019.103751 Luc, A., Lê, S., & Philippe, M. (2019). Nudging consumers for relevant data using Free JAR profiling: an application to product development. Food Quality and Preference, 103751. <https://doi.org/10.1016/j.foodqual.2019.103751> NA food consumers (cited only)
rredlist 10.1111/cobi.13404 Lennox, R. J., Veríssimo, D., Twardek, W. M., Davis, C. R., & Jarić, I. (2019). Sentiment analysis as a measure of conservation culture in scientific literature. Conservation Biology. <https://doi.org/10.1111/cobi.13404> NA measuring conservation beliefs with sentiment analysis
taxize 10.1111/cobi.13404 Lennox, R. J., Veríssimo, D., Twardek, W. M., Davis, C. R., & Jarić, I. (2019). Sentiment analysis as a measure of conservation culture in scientific literature. Conservation Biology. <https://doi.org/10.1111/cobi.13404> NA measuring conservation beliefs with sentiment analysis
skimr NA da Conceição António, N. M. (2019). Hotel Revenue Management: Using Data Science to Predict Booking Cancellations (Doctoral dissertation, ISCTE-IUL). <https://www.researchgate.net/profile/Nuno_Antonio/publication/334319208_Hotel_Revenue_Management_Using_Data_Science_to_Predict_Booking_Cancellations/links/5d246e94a6fdcc2462ce3339/Hotel-Revenue-Management-Using-Data-Science-to-Predict-Booking-Cancellations.pdf> NA using data to predict booking cancellations
chromer 10.1111/nph.16098 Han, T., Zheng, Q., Onstein, R. E., Rojas‐Andrés, B. M., Hauenschild, F., Muellner‐Riehl, A. N., & Xing, Y. (2019). Polyploidy promotes species diversification of Allium through ecological shifts. New Phytologist. <https://doi.org/10.1111/nph.16098> NA Allium species diversification
rredlist 10.1002/ecy.2856 Dawson, A., Paciorek, C. J., Goring, S. J., Jackson, S. T., McLachlan, J. S., & Williams, J. W. (2019). Quantifying trends and uncertainty in prehistoric forest composition in the upper Midwestern United States. Ecology. <https://doi.org/10.1002/ecy.2856> NA trends and uncertainty in prehistoric forests
rerddap 10.1073/pnas.1906766116 O’Farrell, S., Chollett, I., Sanchirico, J. N., & Perruso, L. (2019). Classifying fishing behavioral diversity using high-frequency movement data. Proceedings of the National Academy of Sciences, 201906766. <https://doi.org/10.1073/pnas.1906766116> img/OFarrellEtal2019PNAS.png fishing (human) behavior using movement data
rgbif 10.1038/s41598-019-47618-2 Hayden, B., Palomares, M. L. D., Smith, B. E., & Poelen, J. H. (2019). Biological and environmental drivers of trophic ecology in marine fishes - a global perspective. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-47618-2> img/HaydenEtal2019ScientificReports.png trophic ecology of marine fishes
rfishbase 10.1038/s41598-019-47618-2 Hayden, B., Palomares, M. L. D., Smith, B. E., & Poelen, J. H. (2019). Biological and environmental drivers of trophic ecology in marine fishes - a global perspective. Scientific Reports, 9(1). <https://doi.org/10.1038/s41598-019-47618-2> img/HaydenEtal2019ScientificReports.png trophic ecology of marine fishes
rentrez 10.1111/ppl.13018 Neugebauer, K., El‐Serehy, H. A., George, T. S., McNicol, J. W., Moraes, M. F., Sorreano, M. C. M., & White, P. J. (2019). The influence of phylogeny and ecology on root, shoot and plant ionomes of fourteen native Brazilian species. Physiologia Plantarum. <https://doi.org/10.1111/ppl.13018> NA influence of phylogeny and ecology on elemental composition of different plant species
pdftools NA Wagner, J. (2019). Using Advanced Analytics to Predict Risk for Grants Oversight. Masters Thesis. <https://jscholarship.library.jhu.edu/bitstream/handle/1774.2/61849/Wagner%2C%20Jennifer.pdf?sequence=1&isAllowed=y> NA analytical methods for grants oversight
spocc 10.1016/j.ecoinf.2019.100991 Pender, J. E., Hipp, A. L., Hahn, M., Kartesz, J., Nishino, M., & Starr, J. R. (2019). How sensitive are climatic niche inferences to distribution data sampling? A comparison of Biota of North America Program (BONAP) and Global Biodiversity Information Facility (GBIF) datasets. Ecological Informatics, 100991. <https://doi.org/10.1016/j.ecoinf.2019.100991> img/PenderEtal2019EcologicalInformatics.png GBIF vs. BONAP data for climatic niche inferences
rgbif 10.1016/j.ecoinf.2019.100991 Pender, J. E., Hipp, A. L., Hahn, M., Kartesz, J., Nishino, M., & Starr, J. R. (2019). How sensitive are climatic niche inferences to distribution data sampling? A comparison of Biota of North America Program (BONAP) and Global Biodiversity Information Facility (GBIF) datasets. Ecological Informatics, 100991. <https://doi.org/10.1016/j.ecoinf.2019.100991> img/PenderEtal2019EcologicalInformatics.png GBIF vs. BONAP data for climatic niche inferences
CoordinateCleaner 10.1016/j.ecoinf.2019.100991 Pender, J. E., Hipp, A. L., Hahn, M., Kartesz, J., Nishino, M., & Starr, J. R. (2019). How sensitive are climatic niche inferences to distribution data sampling? A comparison of Biota of North America Program (BONAP) and Global Biodiversity Information Facility (GBIF) datasets. Ecological Informatics, 100991. <https://doi.org/10.1016/j.ecoinf.2019.100991> img/PenderEtal2019EcologicalInformatics.png GBIF vs. BONAP data for climatic niche inferences
rotl 10.1098/rspb.2019.1277 Park, A. W. (2019). Food web structure selects for parasite host range. Proceedings of the Royal Society B: Biological Sciences, 286(1908), 20191277. <https://doi.org/10.1098/rspb.2019.1277> img/Park2019PRSLB.png food webs and parasites
rdhs 10.1371/journal.pone.0221178 Sánchez-Páez, D. A., & Ortega, J. A. (2019). Reported patterns of pregnancy termination from Demographic and Health Surveys. PLOS ONE, 14(8), e0221178. <https://doi.org/10.1371/journal.pone.0221178> NA pregnancy termination patterns
writexl 10.1016/j.dib.2019.104444 Ayodele Benjamin, E., Vincent, E., Claudius, A., Olatomiwa, L., & Dickson, E. (2019). Data-based investigation on the performance of an independent Gas turbine for electricity generation using real power measurements and other closely related parameters. Data in Brief, 104444. <https://doi.org/10.1016/j.dib.2019.104444> NA gas turbines in Nigeria
plotly NA Mendes, G., Paiva, J. G. S., & Schwartz, W. R. (2019, July). Point-Placement Techniques and Temporal Self-Similarity Maps for Visual Analysis of Surveillance Videos. In 2019 23rd International Conference Information Visualisation (IV) (pp. 127-132). IEEE. <https://ieeexplore.ieee.org/iel7/8798596/8811888/08811966.pdf> NA visual analysis of surveillance videos
plotly 10.1128/msphere.00454-19 Stewart, D. B., Wright, J. R., Fowler, M., McLimans, C. J., Tokarev, V., Amaniera, I., … Lamendella, R. (2019). Integrated Meta-omics Reveals a Fungus-Associated Bacteriome and Distinct Functional Pathways in Clostridioides difficile Infection. mSphere, 4(4). <https://doi.org/10.1128/msphere.00454-19> NA Clostridioides difficile infections
plotly 10.1016/j.celrep.2019.07.091 Lewis, M. J., Barnes, M. R., Blighe, K., Goldmann, K., Rana, S., Hackney, J. A., … Pitzalis, C. (2019). Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes. Cell Reports, 28(9), 2455–2470.e5. <https://doi.org/10.1016/j.celrep.2019.07.091> NA Rheumatoid arthritis
taxize 10.1002/ppp3.10064 Esperon‐Rodriguez, M., Power, S. A., Tjoelker, M. G., Beaumont, L. J., Burley, H., Caballero‐Rodriguez, D., & Rymer, P. D. (2019). Assessing the vulnerability of Australia’s urban forests to climate extremes. Plants, People, Planet. <https://doi.org/10.1002/ppp3.10064> img/Esperon-RodriguezEtal2019PlantsPeoplePlanet.png climate extremes and Australia’s urban forests
rgbif 10.1002/ppp3.10064 Esperon‐Rodriguez, M., Power, S. A., Tjoelker, M. G., Beaumont, L. J., Burley, H., Caballero‐Rodriguez, D., & Rymer, P. D. (2019). Assessing the vulnerability of Australia’s urban forests to climate extremes. Plants, People, Planet. <https://doi.org/10.1002/ppp3.10064> img/Esperon-RodriguezEtal2019PlantsPeoplePlanet.png climate extremes and Australia’s urban forests
rfishbase 10.1007/s10750-019-04044-9 Lacy, S. N., Corcoran, D., Alò, D., Lessmann, J., Meza, F., & Marquet, P. A. (2019). Main drivers of freshwater fish diversity across extra-tropical Southern Hemisphere rivers. Hydrobiologia. <https://doi.org/10.1007/s10750-019-04044-9> img/LacyEtal2019Hydrobiologia.png drivers of freshwater fish diversity
plotly 10.1371/journal.pone.0221368 Gonçalves, B., Coutinho, D., Exel, J., Travassos, B., Lago, C., & Sampaio, J. (2019). Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football. PLOS ONE, 14(8), e0221368. <https://doi.org/10.1371/journal.pone.0221368> NA analysis of soccer/football games
gender 10.1139/facets-2018-0039 Urquhart-Cronish, M., & Otto, S. P. (2019). Gender and language use in scientific grant writing. FACETS, 4(1), 442–458. <https://doi.org/10.1139/facets-2018-0039> NA gender use in grant writing
biomartr 10.1111/eva.12860 Wegrzyn, J. L., Falk, T., Grau, E., Buehler, S., Ramnath, R., & Herndon, N. (2019). Cyberinfrastructure and resources to enable an integrative approach to studying forest trees. Evolutionary Applications. <https://doi.org/10.1111/eva.12860> NA studying forest trees
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pdftools 10.3390/pharmacy7030130 Hanna, A., & Hanna, L.-A. (2019). Topic Analysis of UK Fitness to Practise Cases: What Lessons Can Be Learnt? Pharmacy, 7(3), 130. <https://doi.org/10.3390/pharmacy7030130> NA text-mining health care documents
hunspell 10.2217/fon-2019-0406 Ramagopalan, S. V., Malcolm, B., Merinopoulou, E., McDonald, L., & Cox, A. (2019). Automated extraction of treatment patterns from social media posts: an exploratory analysis in renal cell carcinoma. Future Oncology. <https://doi.org/10.2217/fon-2019-0406> NA extraction of treatment patterns from social media
rfishbase 10.1002/aqc.3215 Bayley, D. T. I., Mogg, A. O. M., Purvis, A., & Koldewey, H. J. (2019). Evaluating the efficacy of small‐scale marine protected areas for preserving reef health: A case study applying emerging monitoring technology. Aquatic Conservation: Marine and Freshwater Ecosystems. <https://doi.org/10.1002/aqc.3215> NA marine protected areas and reef health
rotl 10.1098/rsos.190040 Mihalitsis, M., & Bellwood, D. (2019). Functional implications of dentition-based morphotypes in piscivorous fishes. Royal Society Open Science, 6(9), 190040. <https://doi.org/10.1098/rsos.190040> NA functional implications of dentition differences in fishes
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rgbif NA Flower, C. (2019). Food Plant Biogeography of the Sonoran Desert (Doctoral dissertation, Arizona State University). <https://search.proquest.com/docview/2275500833> NA food plant biogeography of the Sonoran Desert
fingertipsR 10.1177/0969141319871977 Rebolj, M., Parmar, D., Maroni, R., Blyuss, O., & Duffy, S. W. (In press). Concurrent participation in screening for cervical, breast, and bowel cancer in England. Journal of Medical Screening. <https://doi.org/10.1177/0969141319871977> NA participation of women in the UK in cancer screenings
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rfishbase 10.1098/rspb.2019.1502 Friedman, M., Feilich, K. L., Beckett, H. T., Alfaro, M. E., Faircloth, B. C., Černý, D., … Harrington, R. C. (2019). A phylogenomic framework for pelagiarian fishes (Acanthomorpha: Percomorpha) highlights mosaic radiation in the open ocean. Proceedings of the Royal Society B: Biological Sciences, 286(1910), 20191502. <https://doi.org/10.1098/rspb.2019.1502> img/FriedmanEtal2019PRSLB.png a phylogenetic framework for pelagiarian fishes
rotl 10.32942/osf.io/yhfvk Sánchez-Tójar, A., Moran, N. P., O’Dea, R. E., Reinhold, K., & Nakagawa, S. (2019). Illustrating the importance of meta-analysing variances alongside means in ecology and evolution. <https://doi.org/10.32942/osf.io/yhfvk> NA meta-analysis
biomartR 10.1007/s11306-019-1586-2 Soh, P. X. Y., Marin Cely, J. M., Mortlock, S.-A., Jara, C. J., Booth, R., Natera, S., … Williamson, P. (2019). Genome-wide association studies of 74 plasma metabolites of German shepherd dogs reveal two metabolites associated with genes encoding their enzymes. Metabolomics, 15(9). <https://doi.org/10.1007/s11306-019-1586-2> NA genetic variation in German shepherd dog metabolites
rotl 10.1111/gcb.14821 Li, X., Zhu, H., Geisen, S., Bellard, C., Hu, F., Li, H., … Liu, M. (2019). Agriculture erases climate constraints on soil nematode communities across large spatial scales. Global Change Biology. <https://doi.org/10.1111/gcb.14821> NA agriculture, climate and nematodes
pdftools 10.1109/mcse.2019.2940221 Hwang, L. J., Pauloo, R. A., & Carlen, J. (2019). Assessing Impact of Outreach through Software Citation for Community Software in Geodynamics. Computing in Science & Engineering, 1–1. <https://doi.org/10.1109/mcse.2019.2940221> img/HwangEtal2019ComputingScience&Engineering.png software and community in geodynamics software
rerddap NA Dick, E.J. and He, X. 2019. Status of Cowcod (Sebastes levis) in 2019. Pacific Fishery Management Council, Portland, OR. <https://www.pcouncil.org/wp-content/uploads/2019/08/H5_Att9_Cowcod_2019_Full_E-Only_SEPT2019BB.pdf> img/Dick&He2019PacificFisheryMngtCouncil.png status of cowcod
CoordinateCleaner NA Flower, C. (2019). Food Plant Biogeography of the Sonoran Desert (Doctoral dissertation, Arizona State University). <https://search.proquest.com/docview/2275500833> NA food plant biogeography of the Sonoran Desert
rplos NA Enkhbayar, A., Haustein, S., Barata, G., & Alperin, J. P. (2019). How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers. arXiv preprint arXiv:1909.01476. <https://arxiv.org/abs/1909.01476> NA research sharing
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landscapetools 10.21105/joss.01661 Etherington, T., & Omondiagbe, O. (2019). virtualNicheR: generating virtual fundamental and realised niches for use in virtual ecology experiments. Journal of Open Source Software, 4(41), 1661. <https://doi.org/10.21105/joss.01661> NA an R package for generating niches
taxize 10.1111/gcb.14829 Cazelles, K., Bartley, T., Guzzo, M. M., Brice, M., MacDougall, A. S., Bennett, J. R., … McCann, K. S. (2019). Homogenization of freshwater lakes: recent compositional shifts in fish communities are explained by gamefish movement and not climate change. Global Change Biology. <https://doi.org/10.1111/gcb.14829> img/CazellesEtal2019GlobalChangeBiology.png freshwater lakes, game fish and climate change
rfishbase 10.1111/gcb.14829 Cazelles, K., Bartley, T., Guzzo, M. M., Brice, M., MacDougall, A. S., Bennett, J. R., … McCann, K. S. (2019). Homogenization of freshwater lakes: recent compositional shifts in fish communities are explained by gamefish movement and not climate change. Global Change Biology. <https://doi.org/10.1111/gcb.14829> img/CazellesEtal2019GlobalChangeBiology.png freshwater lakes, game fish and climate change
MODIStsp 10.1007/s10453-019-09607-w Verstraeten, W. W., Dujardin, S., Hoebeke, L., Bruffaerts, N., Kouznetsov, R., Dendoncker, N., … Delcloo, A. W. (2019). Spatio-temporal monitoring and modelling of birch pollen levels in Belgium. Aerobiologia. <https://doi.org/10.1007/s10453-019-09607-w> img/VerstraetenEtal2019Aerobiologia.png birch pollen in Belgium
taxize 10.1111/1365-2745.13293 Bufford, J. L., Hulme, P. E., Sikes, B. A., Cooper, J. A., Johnston, P. R., & Duncan, R. P. (2019). Novel interactions between alien pathogens and native plants increase plant‐pathogen network connectance and decrease specialization. Journal of Ecology. <https://doi.org/10.1111/1365-2745.13293> img/BuffordEtal2019JournalOfEcology.png plant-pathogen networks
writexl 10.1007/978-1-4939-9744-2_13 Palstrøm N.B., Matthiesen R., Beck H.C. (2020) Data Imputation in Merged Isobaric Labeling-Based Relative Quantification Datasets. In: Matthiesen R. (eds) Mass Spectrometry Data Analysis in Proteomics. Methods in Molecular Biology, vol 2051. Humana, New York, NY <https://doi.org/10.1007/978-1-4939-9744-2_13> NA a book chapter on data imputation
hunspell 10.1007/s10479-019-03372-2 Cinelli, M., Ficcadenti, V., & Riccioni, J. (2019). The interconnectedness of the economic content in the speeches of the US Presidents. Annals of Operations Research. <https://doi.org/10.1007/s10479-019-03372-2> img/CinelliEtal2019AnnalsOperationResearch.png economic content in speeches of US presidents
rnaturalearth NA Umlauf, N., Klein, N., Simon, T., & Zeileis, A. (2019). bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). arXiv preprint arXiv:1909.11784. <https://arxiv.org/abs/1909.11784> NA Bayesian regression
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rgbif 10.7717/peerj.7410 De Luca, D., Kooistra, W. H. C. F., Sarno, D., Gaonkar, C. C., & Piredda, R. (2019). Global distribution and diversity of Chaetoceros (Bacillariophyta, Mediophyceae): integration of classical and novel strategies. PeerJ, 7, e7410. <https://doi.org/10.7717/peerj.7410> img/DeLucaEtal2019PeerJ.png distribution and diversity of Chaetoceros planktonic diatoms
camsRad NA Ondra, M. 2019. Reliability based design approach to stochastic supply planning. <https://iaee2019ljubljana.oyco.eu/download/contribution/fullpaper/345/345_fullpaper_20190608_130510.pdf> NA stochastic supply planning
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skimr 10.31234/osf.io/8v5yd Nalborczyk, L., Grandchamp, R., Koster, E. H. W., Perrone-Bertolotti, M., & Loevenbruck, H. (2019). Can we decode phonetic features in inner speech using surface electromyography? <https://doi.org/10.31234/osf.io/8v5yd> NA decoding phonetic features in inner speech
webchem 10.3390/metabo9100200 Stanstrup, J., Broeckling, C., Helmus, R., Hoffmann, N., Mathé, E., Naake, T., … Neumann, S. (2019). The metaRbolomics Toolbox in Bioconductor and beyond. Metabolites, 9(10), 200. <https://doi.org/10.3390/metabo9100200> NA the metaRbolomics toolbox
CoordinateCleaner 10.1038/s41559-019-0972-5 Feng, X., Park, D. S., Walker, C., Peterson, A. T., Merow, C., & Papeş, M. (2019). A checklist for maximizing reproducibility of ecological niche models. Nature Ecology & Evolution. <https://doi.org/10.1038/s41559-019-0972-5> NA ecological niche models
hunspell 10.18687/LACCEI2019.1.1.414 Duffany, J. (2019). Developing CyberSecurity Skills with Intermediate Programming Courses. Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities.” <https://doi.org/10.18687/laccei2019.1.1.414> NA developing cyber-security skills in programming courses
rotl 10.1086/706187 Maherali, H. (2019). Mutualism as a plant functional trait: linking variation in the mycorrhizal symbiosis to climatic tolerance, geographic range and population dynamics. International Journal of Plant Sciences. <https://doi.org/10.1086/706187> NA mutualism as plant functional trait
rgbif 10.1016/j.ecolind.2019.105766 Havinga, I., Hein, L., Vega-Araya, M., & Languillaume, A. (2020). Spatial quantification to examine the effectiveness of payments for ecosystem services: A case study of Costa Rica’s Pago de Servicios Ambientales. Ecological Indicators, 108, 105766. <https://doi.org/10.1016/j.ecolind.2019.105766> img/HavingaEtal2019EcologicalIndicators.png payments for ecosystem services
tokenizers 10.1145/3349263.3351313 Jin, L., Tefft, B. C., & Horrey, W. J. (2019). Mining consumer complaints to identify unsuccessful interactions with advanced driver assistance systems. Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct Proceedings - AutomotiveUI ’19. <https://doi.org/10.1145/3349263.3351313> NA interactions between people and car warning systems
MODISTools 10.1111/1365-2656.13117 Fecchio, A., Bell, J. A., Bosholn, M., Vaughan, J. A., Tkach, V. V., Lutz, H. L., … Clark, N. J. (2019). An inverse latitudinal gradient in infection probability and phylogenetic diversity for Leucocytozoon blood parasites in New World birds. Journal of Animal Ecology. <https://doi.org/10.1111/1365-2656.13117> NA latitudinal gradient in infection probability in a blood parasite
rredlist 10.1126/science.aav5327 Scheffers, B. R., Oliveira, B. F., Lamb, I., & Edwards, D. P. (2019). Global wildlife trade across the tree of life. Science, 366(6461), 71–76. <https://doi.org/10.1126/science.aav5327> img/ScheffersEtalScience.png global wildlife trade and phylogeny
rplos NA Enkybayar, A., Haustein, S., Barata, G., & Alperin, J. P. Comparing public and private Facebook activity linking to PLOS ONE papers. Altmetrics 2019 Conference Proceedings <http://altmetrics.org/wp-content/uploads/2019/10/Enkybayar_altmetrics19_paper_8.pdf> NA science sharing on facebook
pdftools NA Lewinski, D., & Hasan, M. R. Russian Troll Account Classification with Twitter and Facebook Data. <https://www.researchgate.net/profile/Md_Rashidul_Hasan/publication/335880060_Russian_Troll_Account_Classification_with_Twitter_and_Facebook_Data/links/5d818ebf458515fca1711d72/Russian-Troll-Account-Classification-with-Twitter-and-Facebook-Data.pdf> NA russian troll social media account classification
rnoaa 10.1002/joc.6353 Dumitrescu, A., Cheval, S., & Guijarro, J. A. (2019). Homogenization of a combined hourly air temperature dataset over Romania. International Journal of Climatology. <https://doi.org/10.1002/joc.6353> NA homogenization of Romanian air temperature data
MODIStsp 10.5532/KJAFM.2019.21.2.97 Yoo, B. H., Kim, K. S., & Lee, J. (2019). MODIS 대기자료를 활용한 남북한 기상관측소에서의 냉방도일 추정. 한국농림기상학회지, 21(2), 97–109. <https://doi.org/10.5532/KJAFM.2019.21.2.97> NA estimating cooling degree days in South and North Korean weather stations
nlrx 10.31234/osf.io/w6dpa Kaaronen, R. O., & Strelkovskii, N. (2019). Cultural Evolution of Sustainable Behaviours: Pro-Environmental Tipping Points in an Agent-Based Model. <https://doi.org/10.31234/osf.io/w6dpa> NA modelling pro-environmental tipping points
taxize 10.1016/j.landurbplan.2019.103673 Sydenham, M. A. K., Moe, S. R., & Eldegard, K. (2020). When context matters: Spatial prediction models of environmental conditions can identify target areas for wild bee habitat management interventions. Landscape and Urban Planning, 193, 103673. <https://doi.org/10.1016/j.landurbplan.2019.103673> NA identifying target areas for wild bee management
taxize 10.1111/jvs.12825 Bottin, M., Peyre, G., Vargas, C., Raz, L., Richardson, J. E., & Sanchez, A. (2019). Phytosociological data and herbarium collections show congruent large scale patterns but differ in their local descriptions of community composition. Journal of Vegetation Science. <https://doi.org/10.1111/jvs.12825> img/BottinEtal2019JournalOfVegetationScience.png comparing phytosociological data and herbarium collections
rgbif NA Piatscheck, F. (2019). Past, present and future: Geographic and temporal variation in a Fig–fig wasp mutualism (Order No. 22588967). ProQuest Dissertations & Theses Global. (2302689695). <https://search.proquest.com/docview/2302689695> NA geographic/temporal variation in a fig-fig wasp mutualism
spocc NA Piatscheck, F. (2019). Past, present and future: Geographic and temporal variation in a Fig–fig wasp mutualism (Order No. 22588967). ProQuest Dissertations & Theses Global. (2302689695). <https://search.proquest.com/docview/2302689695> NA geographic/temporal variation in a fig-fig wasp mutualism
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iheatmapr 10.1186/s12864-019-6073-7 Reyes, A. L. P., Silva, T. C., Coetzee, S. G., Plummer, J. T., Davis, B. D., Chen, S., … Jones, M. R. (2019). GENAVi: a shiny web application for gene expression normalization, analysis and visualization. BMC Genomics, 20(1). <https://doi.org/10.1186/s12864-019-6073-7> img/ReyesEtal2019BMCGenomics.png a Shiny web app for gene expression
rotl NA Fetter, K.C. 2019. Natural Selection For Disease Resistance In Hybrid Poplars Targets Stomatal Patterning Traits And Regulatory Genes. Graduate College Dissertations and Theses. 1162. <https://scholarworks.uvm.edu/graddis/1162> img/Fetter2019Thesis.png natural selection for disease resistance in poplars
treeio 10.1186/s12866-019-1598-0 Paudyal, N., Pan, H., Elbediwi, M., Zhou, X., Peng, X., Li, X., … Yue, M. (2019). Characterization of Salmonella Dublin isolated from bovine and human hosts. BMC Microbiology, 19(1). <https://doi.org/10.1186/s12866-019-1598-0> NA bovine and human Salmonella characterization
brranching 10.1111/ele.13396 Bohner, T., & Diez, J. (2019). Extensive mismatches between species distributions and performance and their relationship to functional traits. Ecology Letters. <https://doi.org/10.1111/ele.13396> NA a conceptual framework for mismatch between optimal conditions and species performance
rotl 10.1111/brv.12555 Defolie, C., Merkling, T., & Fichtel, C. (2019). Patterns and variation in the mammal parasite–glucorticoid relationship. Biological Reviews. <https://doi.org/10.1111/brv.12555> NA mammal parasite–glucorticoid relationships
git2r 10.12688/f1000research.20843.1 Blischak, J. D., Carbonetto, P., & Stephens, M. (2019). Creating and sharing reproducible research code the workflowr way. F1000Research, 8, 1749. <https://doi.org/10.12688/f1000research.20843.1> NA reproducible research tools
taxize 10.1111/ecog.04532 Millard, J. W., Freeman, R., & Newbold, T. (2019). Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature. Ecography. <https://doi.org/10.1111/ecog.04532> img/MillardEtal2019Ecography.png text analysis of animal pollination literature
taxize 10.1111/jfb.14162 Hung, T., Rosales, M., Kurobe, T., Stevenson, T., Ellison, L., Tigan, G., … Teh, S. (2019). A pilot study of the performance of captive‐reared delta smelt Hypomesus transpacificus in a semi‐natural environment. Journal of Fish Biology. <https://doi.org/10.1111/jfb.14162> NA delta smelt performance
taxize 10.1111/ecog.04492 Chalmandrier, L., Pansu, J., Zinger, L., Boyer, F., Coissac, E., Génin, A., … Thuiller, W. (2019). Environmental and biotic drivers of soil microbial β‐diversity across spatial and phylogenetic scales. Ecography. <https://doi.org/10.1111/ecog.04492> NA drivers of soil microbial beta-diversity
rplos 10.1002/jrs.5744 Mishra, P., & Narayan Tripathi, L. (2019). Characterization of two‐dimensional materials from Raman spectral data. Journal of Raman Spectroscopy. <https://doi.org/10.1002/jrs.5744> NA characterization of 2-dimensional materials
rcrossref 10.1002/jrs.5744 Mishra, P., & Narayan Tripathi, L. (2019). Characterization of two‐dimensional materials from Raman spectral data. Journal of Raman Spectroscopy. <https://doi.org/10.1002/jrs.5744> NA characterization of 2-dimensional materials
fulltext 10.1002/jrs.5744 Mishra, P., & Narayan Tripathi, L. (2019). Characterization of two‐dimensional materials from Raman spectral data. Journal of Raman Spectroscopy. <https://doi.org/10.1002/jrs.5744> NA characterization of 2-dimensional materials
hunspell 10.31234/osf.io/eht87 Christensen, A. P., & Kenett, Y. (2019, October 22). Semantic Network Analysis (SemNA): A Tutorial on Preprocessing, Estimating, and Analyzing Semantic Networks. <https://doi.org/10.31234/osf.io/eht87> NA a tutorial on semantic network analysis
rnoaa 10.2134/cftm2019.07.0055 Zhong, B. H. W., Wiersma, J. J., Sheaffer, C. C., Steffenson, B. J., & Smith, K. P. (2019). Assessment of Winter Barley in Minnesota: Relationships among Cultivar, Fall Seeding Date, Winter Survival, and Grain Yield. Cftm, 5(1), 0. <https://doi.org/10.2134/cftm2019.07.0055> NA winter barley assessment in Minnesota
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webchem 10.1016/j.scitotenv.2019.134765 Malaj, E., Liber, K., & Morrissey, C. A. (2019). Spatial distribution of agricultural pesticide use and predicted wetland exposure in the Canadian Prairie Pothole Region. Science of The Total Environment, 134765. <https://doi.org/10.1016/j.scitotenv.2019.134765> NA pesticide use and wetland exposure in Canada
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rgbif 10.1126/sciadv.aax9444 Stévart, T., Dauby, G., Lowry, P. P., Blach-Overgaard, A., Droissart, V., Harris, D. J., … Couvreur, T. L. P. (2019). A third of the tropical African flora is potentially threatened with extinction. Science Advances, 5(11), eaax9444. <https://doi.org/10.1126/sciadv.aax9444> img/StevartEtal2019ScienceAdvances.png extinction threatened African flora
rgbif 10.1093/icesjms/fsz207 D’Amen, M., & Azzurro, E. (2019). Lessepsian fish invasion in Mediterranean marine protected areas: a risk assessment under climate change scenarios. ICES Journal of Marine Science, 77(1), 388–397. <https://doi.org/10.1093/icesjms/fsz207> NA fish and climate change
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