cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.757743.v1
title: Gaussian Job Archive for C15H12IN3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757736
title: Hufford et al. 2012

description: Files and data from Hufford, M.B.*, X. Xun*, J. van Heerwaarden*, T. Pyhäjärvi*, J-M. Chia, R.A. Cartwright, R.J. Elshire, J.C. Glaubitz, K.E. Guill, S. Kaeppler, J. Lai, P.L. Morrell, L.M. Shannon, C. Song, N.M. Springer, R.A. Swanson-Wagner, P. Tiffin, J. Wang, G. Zhang, J. Doebley, M.D. McMullen, D. Ware, E.S. Buckler, S. Yang, J. Ross-Ibarra. 2012. Comparative population genomics of maize domestication and improvement. Nature Genetics 44:808-811 <strong>55K Data</strong> 55K SNP data in Hapmap_55K.zip <strong>Recombination</strong> Files (rho.LR, rho.teo, rho.mz) are estimates of rho using Hudson's maxhap for teosinte, landraces, and maize from Hufford et al. Nat. Gen. 2012 (though these data were not published with the paper). The files are a bit redundant, but each line looks like: 1 100 141 100 14 0.000098 Which is chromosome, window, and number of SNPs repeated twice, followed by the MLE of rho. So the line above would be the 100th 10kb window on chromosome 1 (on reference genome AGPv1), with a rho=0.000098. I would be hesitant to trust the values with low S (definitely &lt;10 and probably &lt;20 &lt;30), as those probably reflect noise more than anything else. <strong><br></strong> <strong>Popgen Stats</strong> Summary statistics for 10kb windows genome-wide and for genes in the maize v2 filtered gene set. Files are for genes in teo, LR, and maize as above, as well as 10kb windows for all 3 taxa in one file. See details in the paper for criteria for calling SNPs, data used for statistics, etc. Columns are: locus: GRM name of gene in the filtered gene set S: number of Segregating sites ThetaW: Watterson's estimate of theta (per locus) ThetaPi: nucleotide diversity (per locus) ThetaH: Fay and Wu (2000) estimator (per locus) TajD: Tajima's D seqbp: # of bp sequenced. this should be used as the denominator to calculate per bp. values of the above statistics. <strong>src_NA</strong> The modified version of the XP-CLR code used in the paper.
DOI: 10.6084/m9.figshare.757738
title: Data from van Heerwaarden et al. 2012

description: SNP data from van Heerwaarden, J., M.B. Hufford, J. Ross-Ibarra. 2012. Historical genomics of North American maize. PNAS 109: 12420-12425
DOI: 10.6084/m9.figshare.757735
title: van Heerwaarden et al. 2011

description: SNP data from van Heerwaarden, J., J. Doebley, W.H. Briggs, J.C. Glaubitz, M.M. Goodman, J.J. Sánchez González, and J. Ross-Ibarra. 2011. Genetic signals of origin, spread and introgression in a large sample of maize landraces. PNAS 108: 1088-1092
DOI: 10.6084/m9.figshare.757741.v1
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757734
title: SNP data from van Heerwaarden et al. 2010

description: SNP data from van Heerwaarden, J., J. Ross-Ibarra, J. Doebley, J.C. Glaubitz, J. Sánchez González, B.S. Gaut, and L.E. Eguiarte. 2010. Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis). Molecular Ecology 19: 1162-1173
DOI: 10.6084/m9.figshare.757728.v1
title: Gaussian Job Archive for ClF3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757735.v1
title: new fileset

description: SNP data from van Heerwaarden, J., J. Doebley, W.H. Briggs, J.C. Glaubitz, M.M. Goodman, J.J. Sánchez González, and J. Ross-Ibarra. 2011. Genetic signals of origin, spread and introgression in a large sample of maize landraces. PNAS 108: 1088-1092
DOI: 10.6084/m9.figshare.757736.v1
title: new fileset

description: maizeSNP50 data from Hufford, M.B.*, X. Xun*, J. van Heerwaarden*, T. Pyhäjärvi*, J-M. Chia, R.A. Cartwright, R.J. Elshire, J.C. Glaubitz, K.E. Guill, S. Kaeppler, J. Lai, P.L. Morrell, L.M. Shannon, C. Song, N.M. Springer, R.A. Swanson-Wagner, P. Tiffin, J. Wang, G. Zhang, J. Doebley, M.D. McMullen, D. Ware, E.S. Buckler, S. Yang, J. Ross-Ibarra. 2012. Comparative population genomics of maize domestication and improvement. Nature Genetics 44:808-811
DOI: 10.6084/m9.figshare.757738.v1
title: van Heerwaarden et al. 2012

description: SNP data from van Heerwaarden, J., M.B. Hufford, J. Ross-Ibarra. 2012. Historical genomics of North American maize. PNAS 109: 12420-12425
DOI: 10.6084/m9.figshare.757738.v3
title: Data from van Heerwaarden et al. 2012

description: SNP data from van Heerwaarden, J., M.B. Hufford, J. Ross-Ibarra. 2012. Historical genomics of North American maize. PNAS 109: 12420-12425
DOI: 10.6084/m9.figshare.757734.v1
title: van Heerwaarden et al. 201

description: SNP data from van Heerwaarden, J., J. Ross-Ibarra, J. Doebley, J.C. Glaubitz, J. Sánchez González, B.S. Gaut, and L.E. Eguiarte. 2010. Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis). Molecular Ecology 19: 1162-1173
DOI: 10.6084/m9.figshare.757735.v2
title: van Heerwaarden et al. 2011

description: SNP data from van Heerwaarden, J., J. Doebley, W.H. Briggs, J.C. Glaubitz, M.M. Goodman, J.J. Sánchez González, and J. Ross-Ibarra. 2011. Genetic signals of origin, spread and introgression in a large sample of maize landraces. PNAS 108: 1088-1092
DOI: 10.6084/m9.figshare.757735.v4
title: van Heerwaarden et al. 2011

description: SNP data from van Heerwaarden, J., J. Doebley, W.H. Briggs, J.C. Glaubitz, M.M. Goodman, J.J. Sánchez González, and J. Ross-Ibarra. 2011. Genetic signals of origin, spread and introgression in a large sample of maize landraces. PNAS 108: 1088-1092
DOI: 10.6084/m9.figshare.757736.v2
title: Hufford et al. 2012

description: maizeSNP50 data from Hufford, M.B.*, X. Xun*, J. van Heerwaarden*, T. Pyhäjärvi*, J-M. Chia, R.A. Cartwright, R.J. Elshire, J.C. Glaubitz, K.E. Guill, S. Kaeppler, J. Lai, P.L. Morrell, L.M. Shannon, C. Song, N.M. Springer, R.A. Swanson-Wagner, P. Tiffin, J. Wang, G. Zhang, J. Doebley, M.D. McMullen, D. Ware, E.S. Buckler, S. Yang, J. Ross-Ibarra. 2012. Comparative population genomics of maize domestication and improvement. Nature Genetics 44:808-811
DOI: 10.6084/m9.figshare.757738.v2
title: van Heerwaarden et al. 2012

description: SNP data from van Heerwaarden, J., M.B. Hufford, J. Ross-Ibarra. 2012. Historical genomics of North American maize. PNAS 109: 12420-12425
DOI: 10.6084/m9.figshare.757736.v4
title: Hufford et al. 2012

description: Files and data from Hufford, M.B.*, X. Xun*, J. van Heerwaarden*, T. Pyhäjärvi*, J-M. Chia, R.A. Cartwright, R.J. Elshire, J.C. Glaubitz, K.E. Guill, S. Kaeppler, J. Lai, P.L. Morrell, L.M. Shannon, C. Song, N.M. Springer, R.A. Swanson-Wagner, P. Tiffin, J. Wang, G. Zhang, J. Doebley, M.D. McMullen, D. Ware, E.S. Buckler, S. Yang, J. Ross-Ibarra. 2012. Comparative population genomics of maize domestication and improvement. Nature Genetics 44:808-811 <strong>55K Data</strong> 55K SNP data in Hapmap_55K.zip <strong>Recombination</strong> Files (rho.LR, rho.teo, rho.mz) are estimates of rho using Hudson's maxhap for teosinte, landraces, and maize from Hufford et al. Nat. Gen. 2012 (though these data were not published with the paper). The files are a bit redundant, but each line looks like: 1 100 141 100 14 0.000098 Which is chromosome, window, and number of SNPs repeated twice, followed by the MLE of rho. So the line above would be the 100th 10kb window on chromosome 1 (on reference genome AGPv1), with a rho=0.000098. I would be hesitant to trust the values with low S (definitely &lt;10 and probably &lt;20 &lt;30), as those probably reflect noise more than anything else. <strong><br></strong> <strong>Popgen Stats</strong> Summary statistics for 10kb windows genome-wide and for genes in the maize v2 filtered gene set. Files are for genes in teo, LR, and maize as above, as well as 10kb windows for all 3 taxa in one file. See details in the paper for criteria for calling SNPs, data used for statistics, etc. Columns are: locus: GRM name of gene in the filtered gene set S: number of Segregating sites ThetaW: Watterson's estimate of theta (per locus) ThetaPi: nucleotide diversity (per locus) ThetaH: Fay and Wu (2000) estimator (per locus) TajD: Tajima's D seqbp: # of bp sequenced. this should be used as the denominator to calculate per bp. values of the above statistics. <strong>src_NA</strong> The modified version of the XP-CLR code used in the paper.
DOI: 10.6084/m9.figshare.757723
title: Baker Lake NU Weather Records 1958–1968

description: Original data sheets used to compile summaries of weather at Baker Lake, Nunavut in: Smith, S.M. 1970. The biting flies of the Baker Lake region, Northwest Territories (Diptera: Culicidae and Simuliidae). Ph.D. Thesis, The University of Manitoba, Winnipeg. Data sheets for the following are enclosed: • Day-degree sums &gt;32°F 1967 • Day-degree sums &gt;32°F 1965 (a cold year), 1960 (warm year) and 1958 (average year) • Daily temperatures, 1958–1968 • Weather summaries, 1958–1967 • Wind, 1963–1967 • Soil temperatures, 1965–1967 • Temperature and precipitation synopses, 1958–1967 • Temperature and precipitation summaries, 1958–1967 • Daily precipitation, 1958–1967 Note that the PDF is image only — no OCR. The raw data were compiled by Mrs J. West, Department of Entomology, University of Manitoba. PDFs of the thesis is available at https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis.pdf This is a PDF portfolio — it contains both the scanned original and the new, text version. If you prefer to download just one or other of the two files in the portfolio (it’s easy to extract them from the portfolio), here are links: https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis_Scanned_Version.pdf https://dl.dropboxusercontent.com/u/3686717/SmithSM_1970_PhD_Thesis_Text_Version.pdf
DOI: 10.6084/m9.figshare.757734.v2
title: van Heerwaarden et al. 2011

description: SNP data from van Heerwaarden, J., J. Ross-Ibarra, J. Doebley, J.C. Glaubitz, J. Sánchez González, B.S. Gaut, and L.E. Eguiarte. 2010. Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis). Molecular Ecology 19: 1162-1173
DOI: 10.6084/m9.figshare.757736.v3
title: Hufford et al. 2012

description: Files and data from Hufford, M.B.*, X. Xun*, J. van Heerwaarden*, T. Pyhäjärvi*, J-M. Chia, R.A. Cartwright, R.J. Elshire, J.C. Glaubitz, K.E. Guill, S. Kaeppler, J. Lai, P.L. Morrell, L.M. Shannon, C. Song, N.M. Springer, R.A. Swanson-Wagner, P. Tiffin, J. Wang, G. Zhang, J. Doebley, M.D. McMullen, D. Ware, E.S. Buckler, S. Yang, J. Ross-Ibarra. 2012. Comparative population genomics of maize domestication and improvement. Nature Genetics 44:808-811 <strong>55K Data</strong> 55K SNP data in Hapmap_55K.zip <strong>Recombination</strong> Files (rho.LR, rho.teo, rho.mz) are estimates of rho using Hudson's maxhap for teosinte, landraces, and maize from Hufford et al. Nat. Gen. 2012 (though these data were not published with the paper). The files are a bit redundant, but each line looks like: 1 100 141 100 14 0.000098 Which is chromosome, window, and number of SNPs repeated twice, followed by the MLE of rho. So the line above would be the 100th 10kb window on chromosome 1 (on reference genome AGPv1), with a rho=0.000098. I would be hesitant to trust the values with low S (definitely &lt;10 and probably &lt;20 &lt;30), as those probably reflect noise more than anything else. <strong><br></strong> <strong>Popgen Stats</strong> Summary statistics for 10kb windows genome-wide and for genes in the maize v2 filtered gene set. Files are for genes in teo, LR, and maize as above, as well as 10kb windows for all 3 taxa in one file. See details in the paper for criteria for calling SNPs, data used for statistics, etc. Columns are: locus: GRM name of gene in the filtered gene set S: number of Segregating sites ThetaW: Watterson's estimate of theta (per locus) ThetaPi: nucleotide diversity (per locus) ThetaH: Fay and Wu (2000) estimator (per locus) TajD: Tajima's D seqbp: # of bp sequenced. this should be used as the denominator to calculate per bp. values of the above statistics.
DOI: 10.6084/m9.figshare.757721
title: Bohlen-Pierce scale artificial grammar learning experiment

description: Here are the experiment files used in the following publication: Loui, P., Wessel, D. L., & Hudson Kam, C. L. (2010). Humans Rapidly Learn Grammatical Structure in a New Musical Scale. Music Perception, 27(5), 377-388. version 1 - Pure5.zip is Experiment 1 version 3 - Pure400.zip is Experiments 2 and 3
DOI: 10.6084/m9.figshare.757734.v4
title: SNP data from van Heerwaarden et al. 2010

description: SNP data from van Heerwaarden, J., J. Ross-Ibarra, J. Doebley, J.C. Glaubitz, J. Sánchez González, B.S. Gaut, and L.E. Eguiarte. 2010. Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis). Molecular Ecology 19: 1162-1173
DOI: 10.6084/m9.figshare.757735.v3
title: van Heerwaarden et al. 2011

description: SNP data from van Heerwaarden, J., J. Doebley, W.H. Briggs, J.C. Glaubitz, M.M. Goodman, J.J. Sánchez González, and J. Ross-Ibarra. 2011. Genetic signals of origin, spread and introgression in a large sample of maize landraces. PNAS 108: 1088-1092
DOI: 10.6084/m9.figshare.757734.v3
title: van Heerwaarden et al. 2010

description: SNP data from van Heerwaarden, J., J. Ross-Ibarra, J. Doebley, J.C. Glaubitz, J. Sánchez González, B.S. Gaut, and L.E. Eguiarte. 2010. Fine scale genetic structure in the wild ancestor of maize (Zea mays ssp. parviglumis). Molecular Ecology 19: 1162-1173
DOI: 10.6084/m9.figshare.757721.v1
title: Bohlen-Pierce scale artificial grammar learning experiment

description: Loui, P., Wessel, D. L., & Hudson Kam, C. L. (2010). Humans Rapidly Learn Grammatical Structure in a New Musical Scale. Music Perception, 27(5), 377-388. Experiments 2 and 3
DOI: 10.6084/m9.figshare.757721.v2
title: Bohlen-Pierce scale artificial grammar learning experiment

description: Here are the experiment files used in the following publication: Loui, P., Wessel, D. L., & Hudson Kam, C. L. (2010). Humans Rapidly Learn Grammatical Structure in a New Musical Scale. Music Perception, 27(5), 377-388. version 1 - Pure5.zip is Experiment 1 version 3 - Pure400.zip is Experiments 2 and 3
DOI: 10.6084/m9.figshare.757721.v4
title: Bohlen-Pierce scale artificial grammar learning experiment

description: Here are the experiment files used in the following publication: Loui, P., Wessel, D. L., & Hudson Kam, C. L. (2010). Humans Rapidly Learn Grammatical Structure in a New Musical Scale. Music Perception, 27(5), 377-388. version 1 - Pure5.zip is Experiment 1 version 3 - Pure400.zip is Experiments 2 and 3
DOI: 10.6084/m9.figshare.757695
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757695.v1
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757698
title: Measuring landscape connectivity of biomes to inform US climate adaptation

description: Poster presented at the International Conference on Conservation Biology, Baltimore, MD, 20130723.
DOI: 10.6084/m9.figshare.757721.v3
title: Bohlen-Pierce scale artificial grammar learning experiment

description: Here are the experiment files used in the following publication: Loui, P., Wessel, D. L., & Hudson Kam, C. L. (2010). Humans Rapidly Learn Grammatical Structure in a New Musical Scale. Music Perception, 27(5), 377-388. version 1 - Pure5.zip is Experiment 1 (the two versions are programs-only and full versions that include the stimulus melodies) version 3 - Pure400.zip is Experiments 2 and 3
DOI: 10.6084/m9.figshare.757690
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757692
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757693
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757690.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757692.v1
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757687
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757693.v1
title: Gaussian Job Archive for C42H48ClCuIN5

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757683
title: AvoPlot - graphical plotting tool based on matplotlib

description: Built on top of Python's excellent matplotlib plotting library, AvoPlot is a graphical plotting tool designed for visualising and analysing scientific data. In addition to providing a user-friendly interface to many of the capabilities of matplotlib, it also provides a plug-in framework, allowing users to easily extend its standard feature set to meet their specific requirements. Plug-ins can be written both to import different data sets (e.g. binary data), and to provide analysis tools for working with them (e.g. fitting routines, background subtraction etc.). Full documentation and examples can be found in the source distribution (the .tar.gz files), or on the project home page (see links below). <strong>Latest Version: 14.01</strong> This version features a much improved installer, which fixes the installation issues that some users experienced with the 13.11 release. There is also a 64bit installer available for Windows for this release. More plot editing features have been added including tick label and gridline editing. Behind the scenes, there have been many performance improvements. This release also includes a *very* limited and highly experimental scripting interface (which mimics matplotlib's pylab interface). See the project home page (linked below) for details.
DOI: 10.6084/m9.figshare.757688
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757687.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757688.v1
title: Gaussian Job Archive for C33H27CuI2N3P

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.757698.v1
title: Poster for ICCB conference 2013

description: Poster presented at the International Conference on Conservation Biology, Baltimore, MD, 20130723.
DOI: 10.6084/m9.figshare.757679
title: Neural Networks To Analyze Market Demographic Data

description: In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement. Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed. We will be putting together a full report on this software once we have completed our investigation. It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified. This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.
DOI: 10.6084/m9.figshare.757698.v3
title: Measuring landscape connectivity of biomes to inform US climate adaptation

description: Poster presented at the International Conference on Conservation Biology, Baltimore, MD, 20130723.
DOI: 10.6084/m9.figshare.757698.v2
title: Poster for ICCB conference 2013

description: Poster presented at the International Conference on Conservation Biology, Baltimore, MD, 20130723.
DOI: 10.6084/m9.figshare.757679.v2
title: Neural Networks To Analyze Market Demographic Data

description: In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement. Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed. We will be putting together a full report on this software once we have completed our investigation. It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified. This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.
DOI: 10.6084/m9.figshare.757679.v1
title: Neural Networks To Analyze Market Demographic Data

description: In a matter of days we have used my customizable software package to grow O.T.I.'s Facebook page likes from 10k to almost 18k likes. From the graph presented in the updated pdf, you can clearly see the impact our training phase had on the advertising performance, showcasing how the software package's suggestions increased/decreased page engagement. Once the training phase was completed a sharp increase in page likes, fan enagement, and shares was observed. An increase in external online traffic at the website and blog, as well as offline traffic was also observed. We will be putting together a full report on this software once we have completed our investigation. It is versatile, and our results suggest that it can be customized to any page producing any content. We have used similar generic engines, powered by neural networks, to locate patterns in other areas of science (reaction prediction software). The key to our work is a series of custom neural networks. A group to locate patterns, and another series of groups for additional pattern analysis once key parameters have been identified. This software package has significant commercial value and utilizes novel concepts in computer science/probability that will not be described publicly for proprietary reasons.