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401 to 410 of 462 Results
Eigenstrat files for Wang et al. 2019 Nature Communications
Feb 12, 2019
Haak, Wolfgang, 2019, "Eigenstrat files for Wang et al. 2019 Nature Communications", https://doi.org/10.17617/3.1Y, Edmond, V1
These are 1240K eigenstrat files from the newly reported ancient individuals in Wang et al. 2019 Nature Communications. We used a random allele calling option as described in https://github.com/stschiff/sequenceTools for Wang2019Caucasus.geno|snp|ind.txt files. Please use these for standard population genetic analyses. The majority calling option i...
West Siberian Genotyping Data from Flegontov et al. 2019 (Nature)
Feb 12, 2019
Schiffels, Stephan, 2019, "West Siberian Genotyping Data from Flegontov et al. 2019 (Nature)", https://doi.org/10.17617/3.1Z, Edmond, V1
This dataset is a Plink-formatted genotyping dataset consisting of 58 newly analysed present-day human individuals from West Siberia, published in Flegontov et al., Nature, 2019 (https://doi.org/10.1038/s41586-019-1251-y). The genotype array was the Affymetrix Human Origins array.
Community, competition, and dispersal data on yeast inhabiting carnivorous Sarracenia Purpurea pitchers
Jan 6, 2019
Boynton, Primrose; Peterson, Celeste; Pringle, Anne, 2019, "Community, competition, and dispersal data on yeast inhabiting carnivorous Sarracenia Purpurea pitchers", https://doi.org/10.17617/3.1W, Edmond, V1
Fungal communities were assessed in a metacommunity of Sarracena purpurea carnivorous pitchers using 454 sequencing. Community data were supplemented with laboratory competition assays and targeted sampling of three yeast species using species-specific PCR primers. Data include an operational taxonomic unit (OTU) table with assigned taxonomy of eac...
Inverse resource allocation between vision and olfaction across the genus Drosophila
Inverse resource allocation between vision and olfaction across the genus Drosophila
Dec 10, 2018
Keesey, Ian W.; Grabe, Veit; Gruber, Lydia; Körte, Sarah; Obiero, George; Bolton, Grant; Khallaf, Mohammed A.; Lavista Llanos, Sofia; Valenzano, Dario Riccardo; Rybak, Jürgen; Barrett, Bruce A.; Knaden, Markus; Hansson, Bill S., 2018, "Inverse resource allocation between vision and olfaction across the genus Drosophila", https://doi.org/10.17617/3.1D, Edmond, V1
Original image files and data sets for the titled publication
snr: A Visual Analytics Framework for Contextual Analyses of Private and Public RNA-Seq Data
snr: A Visual Analytics Framework for Contextual Analyses of Private and Public RNA-Seq Data
Dec 6, 2018
Klemm, Paul; Frommolt, Peter; Kornfeld, Jan-Wilhelm, 2018, "snr: A Visual Analytics Framework for Contextual Analyses of Private and Public RNA-Seq Data", https://doi.org/10.17617/3.8VEP43, Edmond, V1
Processed RNA-Sequencing data associated with the paper "snr: A Visual Analytics Framework for Contextual Analyses of Private and Public RNA-Seq Data" BMC Genomics, https://doi.org/10.1186/s12864-018-5396-0
Static landscape features predict uplift locations for soaring birds across Europe
Nov 30, 2018
Scacco, Martina; Flack, Andrea; Duriez, Olivier; Wikelski, Martin; Safi, Kamran, 2018, "Static landscape features predict uplift locations for soaring birds across Europe", https://doi.org/10.17617/3.1U, Edmond, V1
Prediction maps of uplift suitability and uplift intensity at European scale, produced from the models presented in Scacco et al. Static landscape features predict uplift locations for soaring birds across Europe (https://doi.org/10.1098/rsos.181440) The collection contains a compressed file with three prediction maps in TIF format and a legend.
Photo-induced Depletion of Binding Sites in DNA-PAINT Microscopy
Nov 26, 2018
Blumhardt, Philipp; Stein, Johannes; Mücksch, Jonas; Stehr, Florian; Bauer, Julian; Jungmann, Ralf; Schwille, Petra, 2018, "Photo-induced Depletion of Binding Sites in DNA-PAINT Microscopy", https://doi.org/10.17617/3.1V, Edmond, V1
Dataset for "A machine learning approach to model solute grain boundary segregation"
Nov 5, 2018
Huber, Liam, 2018, "Dataset for "A machine learning approach to model solute grain boundary segregation"", https://doi.org/10.17617/3.5TNVRM, Edmond, V1
Dataset for the publication "A machine learning approach to model solute grain boundary segregation", Huber, Hadian, Grabowski, and Neugebauer, npj Comp. Mat., doi:10.1038/s41524-018-0122-7 Data consists of atomic structure files and corresponding dilute segregation energies/site volumes/site coordinations/model energy predictions for grain boundar...
Unconventional magneto-transport in ultrapure PdCoO2 and PtCoO2
Oct 27, 2018
Kushwaha, Pallavi; Sunko, Veronika; Barber, Mark E.; Rosner, Helge; Khim, Seunghyun; Mackenzie, Andrew P.; Nandi, Nabhanila; Moll, Philip J. W.; Scaffidi, Thomas; Mazzola, Federico; King, Philip D. C.; König, Markus; Moore, Joel E.; Hartnoll, Sean, 2018, "Unconventional magneto-transport in ultrapure PdCoO2 and PtCoO2", https://doi.org/10.17617/3.1T, Edmond, V1
Max Planck Institute for Chemical Physics of Solids, Nöthnitzer Straße 40, 01187 Dresden, Germany
Mistuning Perception Test
Sep 13, 2018
Larrouy-Maestri, Pauline; Harrison, Peter; Müllensiefen, Daniel, 2018, "Mistuning Perception Test", https://doi.org/10.17617/3.DJ4ZLY, Edmond, V1
Behavior Research Methods, accepted
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