cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.156290.v2
title: Random integer partitions with restricted numbers of parts

description: A preprint of a manuscript revealing a conceptually simple and comparatively fast algorithm for generating uniform random integer partitions with restricted numbers of parts. Currently, no mathematical software includes a function to do this. From combing the literature and peer help cites, though the question has been asked, it doesn't appear to have been solved. It, at least, has not been implemented into a straightforward computing algorithm. I derive the algorithm, provide a generic code representation for it, provide a specific Python based implementation, and compare the performance to the random partitioning function of Sage (a powerful and generally very fast computer algebra environment). Figures and table are placed at the end of the paper. Finally, and the reason I tagged macroecology, maxent, and economics, I reveal how random integer partitioning algorithms such as this can and have already been used to address current and meaningful problems in the natural and social sciences. <strong> I would greatly appreciate your constructive and insightful comments.</strong> Additionally, the following provided some of the reason for posting this on figshare: <strong>http://emckiernan.wordpress.com/2012/09/21/why-i-chose-figshare-for-my-homeless-manuscript/</strong>
DOI: 10.6084/m9.figshare.156279
title: Summary of Ruaha Landscape Fire Analysis

description: These images summarize data compiled by David Erickson in collaboration with University of Maryland. Contact Pete@Coppolillo.com for to discuss the data and or collaboration opportunities
DOI: 10.6084/m9.figshare.156279.v1
title: Summary of Ruaha Landscape Fire Analysis

description: These images summarize data compiled by David Erickson in collaboration with University of Maryland. Contact Pete@Coppolillo.com for to discuss the data and or collaboration opportunities
DOI: 10.6084/m9.figshare.156290.v3
title: Random integer partitions with restricted numbers of parts

description: A preprint of a manuscript revealing a conceptually simple and comparatively fast algorithm for generating uniform random integer partitions with restricted numbers of parts. Currently, no mathematical software includes a function to do this. From combing the literature and peer help cites, though the question has been asked, it doesn't appear to have been solved. It, at least, has not been implemented into a straightforward computing algorithm. I derive the algorithm, provide a generic code representation for it, provide a specific Python based implementation, and compare the performance to the random partitioning function of Sage (a powerful and generally very fast computer algebra environment). Figures and table are placed at the end of the paper. Finally, and the reason I tagged macroecology, maxent, and economics, I reveal how random integer partitioning algorithms such as this can and have already been used to address current and meaningful problems in the natural and social sciences. <strong> I would greatly appreciate your constructive and insightful comments.</strong> Additionally, the following provided some of the reason for posting this on figshare: <strong>http://emckiernan.wordpress.com/2012/09/21/why-i-chose-figshare-for-my-homeless-manuscript/</strong>
DOI: 10.6084/m9.figshare.156395.v19
title: 2nd year Drosophila Developmental Genetics practical

description: This is the course material for the <em>Drosophila</em> module of the Developmental Genetics RSM 2013, Faculty of Life Sciences, Manchester, UK. This course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been run and optimised over a few years. To help improve it further, please, comment either in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156271
title: Preliminary Assessment of Giraffe Skin Disease in Ruaha

description: Summary of preliminary data on the distribution and prevalence of skin disease in Ruaha Giraffe.
DOI: 10.6084/m9.figshare.156290.v4
title: Random integer partitions with restricted numbers of parts

description: A preprint of a manuscript revealing a conceptually simple and comparatively fast algorithm for generating uniform random integer partitions with restricted numbers of parts. Currently, no mathematical software includes a function to do this. From combing the literature and peer help cites, though the question has been asked, it doesn't appear to have been solved. It, at least, has not been implemented into a straightforward computing algorithm. I derive the algorithm, provide a generic code representation for it, provide a specific Python based implementation, and compare the performance to the random partitioning function of Sage (a powerful and generally very fast computer algebra environment). Figures and table are placed at the end of the paper. Finally, and the reason I tagged macroecology, maxent, and economics, I reveal how random integer partitioning algorithms such as this can and have already been used to address current and meaningful problems in the natural and social sciences. <strong> I would greatly appreciate your constructive and insightful comments.</strong> Additionally, the following provided some of the reason for posting this on figshare: <strong>http://emckiernan.wordpress.com/2012/09/21/why-i-chose-figshare-for-my-homeless-manuscript/</strong>
DOI: 10.6084/m9.figshare.156395.v20
title: 2nd year Drosophila Developmental Genetics practical

description: This is the course material for the <em>Drosophila</em> module of the Developmental Genetics RSM 2013, Faculty of Life Sciences, Manchester, UK. This course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been run and optimised over a few years. To help improve it further, please, comment either in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156271.v1
title: Preliminary Assessment of Giraffe Skin Disease in Ruaha

description: Summary of preliminary data on the distribution and prevalence of skin disease in Ruaha Giraffe.
DOI: 10.6084/m9.figshare.156290.v5
title: Random integer partitions with restricted numbers of parts

description: A preprint of a manuscript revealing a conceptually simple and comparatively fast algorithm for generating uniform random integer partitions with restricted numbers of parts. Currently, no mathematical software includes a function to do this. From combing the literature and peer help cites, though the question has been asked, it doesn't appear to have been solved. It, at least, has not been implemented into a straightforward computing algorithm. I derive the algorithm, provide a generic code representation for it, provide a specific Python based implementation, and compare the performance to the random partitioning function of Sage (a powerful and generally very fast computer algebra environment). Figures and table are placed at the end of the paper. Finally, and the reason I tagged macroecology, maxent, and economics, I reveal how random integer partitioning algorithms such as this can and have already been used to address current and meaningful problems in the natural and social sciences. <strong> I would greatly appreciate your constructive and insightful comments.</strong> Additionally, the following provided some of the reason for posting this on figshare: <strong>http://emckiernan.wordpress.com/2012/09/21/why-i-chose-figshare-for-my-homeless-manuscript/</strong>
DOI: 10.6084/m9.figshare.156258
title: Rungwa Ruaha Fire maps

description: Maps of fire occurrences in the Rungwa Ruaha landscape of Tanzania. Fires were sensed with MODIS data and compiled using GIS
DOI: 10.6084/m9.figshare.156258.v1
title: Rungwa Ruaha Fire maps

description: Maps of fire occurrences in the Rungwa Ruaha landscape of Tanzania. Fires were sensed with MODIS data and compiled using GIS
DOI: 10.6084/m9.figshare.156395.v21
title: 2nd year Drosophila Developmental Genetics practical

description: This is the course material for the <em>Drosophila</em> module of the Developmental Genetics RSM 2013, Faculty of Life Sciences, Manchester, UK. This course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been run and optimised over a few years. To help improve it further, please, comment either in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156253
title: Total Counts of Hippopotamus in the Rungwa Ruaha Landscape

description: Mapped data from aerial total count of hippos in 2001, also compared with previous distributions...
DOI: 10.6084/m9.figshare.156253.v1
title: Total Counts of Hippopotamus in the Rungwa Ruaha Landscape

description: Mapped data from aerial total count of hippos in 2001, also compared with previous distributions...
DOI: 10.6084/m9.figshare.156290.v6
title: Random integer partitions with restricted numbers of parts

description: A preprint of a manuscript revealing a conceptually simple and comparatively fast algorithm for generating uniform random integer partitions with restricted numbers of parts. Currently, no mathematical software includes a function to do this. From combing the literature and peer help cites, though the question has been asked, it doesn't appear to have been solved. It, at least, has not been implemented into a straightforward computing algorithm. I derive the algorithm, provide a generic code representation for it, provide a specific Python based implementation, and compare the performance to the random partitioning function of Sage (a powerful and generally very fast computer algebra environment). Figures and table are placed at the end of the paper. Finally, and the reason I tagged macroecology, maxent, and economics, I reveal how random integer partitioning algorithms such as this can and have already been used to address current and meaningful problems in the natural and social sciences. <strong> I would greatly appreciate your constructive and insightful comments.</strong> Additionally, the following provided some of the reason for posting this on figshare: <strong>http://emckiernan.wordpress.com/2012/09/21/why-i-chose-figshare-for-my-homeless-manuscript/</strong>
DOI: 10.6084/m9.figshare.156395.v22
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Life Sciences at The University of Manchester in 2013. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is given to: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. An e-assessment has been developed and successfully applied to assess larger numbers of students for their skills in applied fly genetics. This assessment and its principal strategies will be made available in due course. Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156237
title: Relationships between raw and realized modularity

description: Relationships between raw and realized modularity for 290 networks, including the results of null models <strong>results.dat<br></strong> <strong>w</strong> - web number <strong>q</strong> - raw (Louvain) modularity <strong>nm</strong> - number of modules <strong>qr</strong> - realized modularity <strong>ed</strong> - number of edges <strong>no</strong> - number of nodes <strong>co</strong> - connectance <strong>qe</strong> - random expectation of Louvain modularity <strong>eqe</strong> - variance of the random modularity expectation <strong>qre</strong> - random expectation of realised modularity <strong>eqre</strong> - variance of the random realized modularity expectation <strong>rq</strong> - rank (based on modularity) <strong>rqr</strong> - ranked (based on realized modularity) <strong>dq</strong> - empirical - random modularity <strong>dqr </strong>- empirical - random realized modularity <strong>altmeasures.dat</strong> <strong>w</strong> - network (unipartite) number Wa(R) - modularity and realized modularity with the walktrap method <strong>Sp(R)</strong> - with the spinglass algorithm <strong>Eb(R)</strong> - with the edge-betweenness method
DOI: 10.6084/m9.figshare.156395.v23
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Life Sciences at The University of Manchester in 2014. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is given to: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. An e-assessment has been developed and successfully applied to assess larger numbers of students for their skills in applied fly genetics. This assessment and its principal strategies will be made available in due course. Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156237.v1
title: Relationships between raw and realized modularity

description: Relationships between raw and realized modularity for 290 networks, including the results of null models <strong>w</strong> - web number <strong>q</strong> - raw (Louvain) modularity <strong>nm</strong> - number of modules <strong>qr</strong> - realized modularity <strong>ed</strong> - number of edges <strong>no</strong> - number of nodes <strong>co</strong> - connectance <strong>qe</strong> - random expectation of Louvain modularity <strong>eqe</strong> - variance of the random modularity expectation <strong>qre</strong> - random expectation of realised modularity <strong>eqre</strong> - variance of the random realized modularity expectation <strong>rq</strong> - rank (based on modularity) <strong>rqr</strong> - ranked (based on realized modularity) <strong>dq</strong> - empirical - random modularity <strong>dqr </strong>- empirical - random realized modularity
DOI: 10.6084/m9.figshare.156136
title: eQTL lod-by-location

description: Pileup of LOD scores from eQTL scans. Grey = lod b/w 3-4; Blue = lod b/w 4-5; Red = lod &gt; 5. X-axis represents cM on a given chromosome Y-axis represents LOD scores. Data taken from the Hammond et al 2012.
DOI: 10.6084/m9.figshare.156395.v24
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Life Sciences at The University of Manchester in 2014. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is given to: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. An e-assessment has been developed and successfully applied to assess larger numbers of students for their skills in applied fly genetics. This assessment and its principal strategies will be made available in due course. Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156119
title: Gaussian Job Archive for C2H4O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.156136.v1
title: eQTL lod-by-location

description: Pileup of LOD scores from eQTL scans. Grey = lod b/w 3-4; Blue = lod b/w 4-5; Red = lod &gt; 5. X-axis represents cM on a given chromosome Y-axis represents LOD scores. Data taken from the Hammond et al 2012.
DOI: 10.6084/m9.figshare.156111
title: 24 Single Gene Alignments for Bacteria and Archaea

description: These are fasta-formatted amino acid alignments of the 24 phylogenetic marker genes used for Lang et al, 2013. These alignments contain 841 taxa, and include bacteria and archaea.
DOI: 10.6084/m9.figshare.156119.v1
title: Gaussian Job Archive for C2H4O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.156395.v25
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Life Sciences at The University of Manchester in 2014. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is given to: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. An e-assessment has been developed and successfully applied to assess larger numbers of students for their skills in applied fly genetics. This assessment and its principal strategies will be made available in due course. Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156085
title: 24 Single Gene Alignments for Bacteria

description: These are fasta-formatted amino acid alignments of the 24 phylogenetic marker genes used for Lang et al, 2013. These alignments contain 761 taxa, and include only bacteria.
DOI: 10.6084/m9.figshare.156111.v1
title: 24 Single Gene Alignments for Bacteria and Archaea

description: These are fasta-formatted amino acid alignments of the 24 phylogenetic marker genes used for Lang et al, 2013. These alignments contain 841 taxa, and include bacteria and archaea.
DOI: 10.6084/m9.figshare.156085.v1
title: 24 Single Gene Alignments for Bacteria

description: These are fasta-formatted amino acid alignments of the 24 phylogenetic marker genes used for Lang et al, 2013. These alignments contain 761 taxa, and include only bacteria.
DOI: 10.6084/m9.figshare.156395.v26
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Life Sciences at The University of Manchester in 2014. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is given to: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. An e-assessment has been developed and successfully applied to assess larger numbers of students for their skills in applied fly genetics. This assessment and its principal strategies will be made available in due course. Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the genetics manual.
DOI: 10.6084/m9.figshare.156059
title: Concatenated alignment of 24 genes for bacteria and archaea

description: This is a fasta-formatted concatenated alignment of 24 genes for 841 bacterial and archaeal taxa. It is described in Lang et al, 2013.
DOI: 10.6084/m9.figshare.156057
title: The origins of the Redfield nitrogen-to-phosphorus ratio are in an optimal protein:rRNA ratio

description: Mathematica Player file that shows how nitorgen-to-phosphorus (N:P) ratio depends on protein:rRNA ratio. Sensitivity Analysis for protein:rRNA ratios and their corresponding N:P ratios. Supporting Mathematica Player file for <b> Loladze, I and Elser JJ (2011) The Origins of the Redfield Nitrogen-to-Phosphorus Ratio are in a Homoeostatic Protein-to-rRNA Ratio. Ecology Letters, 14, 244-250</b>