cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.740444.v6
title: FoxP

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.6084/m9.figshare.739117
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.739131.v1
title: Protocol for Relapse Prevention

description: protocol for relapse prevention and maintenance of abstinence from drug use
DOI: 10.6084/m9.figshare.739116
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.739117.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.740444.v7
title: FoxP molecular, anatomical and behavioral raw data

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.6084/m9.figshare.739115
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.739115.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.739116.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.740444.v8
title: FoxP molecular, anatomical and behavioral raw data

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.6084/m9.figshare.740444.v10
title: Drosophila FoxP molecular, anatomical and behavioral raw data

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.6084/m9.figshare.738037
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738038
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.740444.v9
title: FoxP molecular, anatomical and behavioral raw data

description: The anatomical and behavioral data providing evidence for the necessity of Drosophila FoxP for operant self-learning
DOI: 10.6084/m9.figshare.738036
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738038.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738028
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738037.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738036.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.738028.v1
title: Gaussian Job Archive for C21H28O7

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.737989.v1
title: 'Austrian Genome Research Programme GEN-AU': Mid Term Programme Management Evaluation

description: In 2001 the Austrian Federal Ministry for Education, Science and Culture launched the “Austrian Genome Research Programme GEN-AU”. The genome research programme was planned for a period of nine years. The evaluation team was asked, in essence, to answer to overarching questions: “Should the programme be continued?” and “Is there room for improvement?” With this evaluation report the continuation of the programme is clearly advocated. Furthermore, a lot of small starting points for improvements are seen.
DOI: 10.6084/m9.figshare.737981
title: Gaussian Job Archive for C37H46ClMnN2O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.737981.v1
title: Gaussian Job Archive for C37H46ClMnN2O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.736532
title: CTD data from SAMBA 3 cruise

description: CTD casts from the SAMBA 3 cruise.
DOI: 10.6084/m9.figshare.736527
title: DCESim - Matlab simulation tool for MRI Dynamic Contrast Enhanced Experiment

description: This code simulates the MRI signal from a model of MRI voxel in the context of dynamic contrast enhanced MRI (DCE-MRI). Various voxel geometries (microvessels, cells) can be considered as well as several MRI sequences (spin-echo, gradient-echo, etc.). The simulations account for a simplistic model of blood flow, the arterial input function, the permeability of the vascular wall, the water diffusion, and the diffusion of the contrast agent within the extravasular, extracellular space. It runs on Matlab and was described in: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0057636 More information can be found in README.txt
DOI: 10.6084/m9.figshare.736530
title: USGinfonet Project Plan

description: The Universities at Shady Grove (USG) established in fall 2000; the facility is located in Rockville, Maryland that offers career-oriented higher education courses to resident of Montgomery County, Maryland and its surround region. Since its inception in 2000, USG has been transformed from a location for part-time evening instruction into a vibrant center serving more than 36,650 undergraduate and graduate students. As an innovation partnership of nine Maryland degree-granting institutions, USG is able to offer more than 70 of the best most popular degree programs from across the state on one convenient, state- of the art campus in Montgomery County. Employees at USG work in a far more complex environment than ever before. USG is not working with one University; instead USG work partners from nine public universities and works with employees from around Maryland State. With the outstanding services and growth at USG comes complexity. With this complexity comes the demand to promote common organization culture, enhance collaboration and better communication among students, staff and faculty from the nine universities. This is our first draft for our project plan to implement SharePoint Portal Intranet for USG
DOI: 10.6084/m9.figshare.736505
title: Maintaining Processes and Strategies

description: The importance of software maintenance during the life-cycle of software system cannot be over emphasized. The maintenance tasks were focused on delivering system improvements, fixing software defects and preventing software problems from happening. The International Organization for Standardization (ISO) provides guidance for the maintenance of software. The basis for Maintenances Process and its activities comes from the definition of ISO/IEC 12207. It defines the activities and tasks of software maintenance, and provides maintenance planning requirements. This process also includes the migration and retirement of the software. While ISO/IEC 12207 describes the process of what activities and tasks to do to provide guidance to Maintenance Process, ISO/IEC 14764 provides guidance on the management of how to perform the Maintenance Process. There are several models and approaches of how to perform software maintenance process. Organizations should seek to adopt maintenance strategies depending on their business’ need and, of course, capabilities. IT-manager should examine the key elements of their software structure beforehand implementing software maintenance process. This paper aimed to describe ISO/IEC 14764 which defines a clear emphasis on software maintenance process. In this study, I will also examine some of the software maintenance strategies/process that are used by organization and determine if there was improvement in the competitive measures of cost, quality and productivity.
DOI: 10.6084/m9.figshare.736530.v1
title: USGinfonet Project Plan

description: The Universities at Shady Grove (USG) established in fall 2000; the facility is located in Rockville, Maryland that offers career-oriented higher education courses to resident of Montgomery County, Maryland and its surround region. Since its inception in 2000, USG has been transformed from a location for part-time evening instruction into a vibrant center serving more than 36,650 undergraduate and graduate students. As an innovation partnership of nine Maryland degree-granting institutions, USG is able to offer more than 70 of the best most popular degree programs from across the state on one convenient, state- of the art campus in Montgomery County. Employees at USG work in a far more complex environment than ever before. USG is not working with one University; instead USG work partners from nine public universities and works with employees from around Maryland State. With the outstanding services and growth at USG comes complexity. With this complexity comes the demand to promote common organization culture, enhance collaboration and better communication among students, staff and faculty from the nine universities. This is our first draft for our project plan to implement SharePoint Portal Intranet for USG
DOI: 10.6084/m9.figshare.736527.v1
title: DCESim

description: This code simulates the MRI signal from a model of MRI voxel in the context of dynamic contrast enhanced MRI (DCE-MRI). Various voxel geometries (microvessels, cells) can be considered as well as several MRI sequences (spin-echo, gradient-echo, etc.). The simulations account for a simplistic model of blood flow, the arterial input function, the permeability of the vascular wall, the water diffusion, and the diffusion of the contrast agent within the extravasular, extracellular space. It runs on Matlab and was described in: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0057636 More information can be found README.txt
DOI: 10.6084/m9.figshare.736505.v1
title: MAINTAINING PROCESSES AND STRAGIES

description: The importance of software maintenance during the life-cycle of software system cannot be over emphasized. The maintenance tasks were focused on delivering system improvements, fixing software defects and preventing software problems from happening. The International Organization for Standardization (ISO) provides guidance for the maintenance of software. The basis for Maintenances Process and its activities comes from the definition of ISO/IEC 12207. It defines the activities and tasks of software maintenance, and provides maintenance planning requirements. This process also includes the migration and retirement of the software. While ISO/IEC 12207 describes the process of what activities and tasks to do to provide guidance to Maintenance Process, ISO/IEC 14764 provides guidance on the management of how to perform the Maintenance Process. There are several models and approaches of how to perform software maintenance process. Organizations should seek to adopt maintenance strategies depending on their business’ need and, of course, capabilities. IT-manager should examine the key elements of their software structure beforehand implementing software maintenance process. This paper aimed to describe ISO/IEC 14764 which defines a clear emphasis on software maintenance process. In this study, I will also examine some of the software maintenance strategies/process that are used by organization and determine if there was improvement in the competitive measures of cost, quality and productivity.
DOI: 10.6084/m9.figshare.736505.v3
title: Maintaining Processes and Strategies

description: The importance of software maintenance during the life-cycle of software system cannot be over emphasized. The maintenance tasks were focused on delivering system improvements, fixing software defects and preventing software problems from happening. The International Organization for Standardization (ISO) provides guidance for the maintenance of software. The basis for Maintenances Process and its activities comes from the definition of ISO/IEC 12207. It defines the activities and tasks of software maintenance, and provides maintenance planning requirements. This process also includes the migration and retirement of the software. While ISO/IEC 12207 describes the process of what activities and tasks to do to provide guidance to Maintenance Process, ISO/IEC 14764 provides guidance on the management of how to perform the Maintenance Process. There are several models and approaches of how to perform software maintenance process. Organizations should seek to adopt maintenance strategies depending on their business’ need and, of course, capabilities. IT-manager should examine the key elements of their software structure beforehand implementing software maintenance process. This paper aimed to describe ISO/IEC 14764 which defines a clear emphasis on software maintenance process. In this study, I will also examine some of the software maintenance strategies/process that are used by organization and determine if there was improvement in the competitive measures of cost, quality and productivity.
DOI: 10.6084/m9.figshare.736454
title: Comparison of edge-finding and extended edge-finding filtering algorithms

description: Raw data from experiments reported in two forthcoming papers: quadratic edge-finding in the journal <em>Constraints</em>, and quadratic extended edge-finding in the <em>Int. J. of Planning and Scheduling</em>. Edge-finding is a filtering algorithm used in constraint-based scheduling, a relaxation of the NP-Hard cumulative resource constraint. Extended edge-finding is a related algorithm. We propse new O(n^2) algorithms for each of these two filtering algorithms, improving on previous results, and compare the effectiveness of our algorithm with the state-of-the-art in cumulative propagation techniques. Includes several figures omitted from publication.
DOI: 10.6084/m9.figshare.735959
title: Implementation of technical and tactical actions qualified athletes in football different roles in gaming areas of the field

description: The aim of the study is to establish the structure of the technical and tactical actions skilled players with a specific game role and areas of the field. Found that the improvement of the technical and tactical actions must be due to functional responsibilities of the players depending on the game role and the different areas of the playing field. Found that the most involved areas on average during the match falls on the linebackers, and the lowest - in the forwards. The last defenders and midfielders mainly perform the technical and tactical actions in the flanking regions, and the central axis of the players - in the central areas of the field. The obtained data confirmed that modern football is important players perform functional duties in accordance with their roles and areas of the field. Differentiated approach is recommended in the process of improving the technical and tactical training of players.
DOI: 10.6084/m9.figshare.735961
title: MALDI Imaging Mass Spectrometry of a Mouse Kidney

description: Instrument: Autoflex III Smartbeam (Bruker, Bremen, Germany) Linear mode (m/z 2000 - 20000) Negative ion mode Matrix: 2,4,6-Trihydroxyacetophenone Spatial resolution: 150 µm <br> Tissue - Mouse Kidney (BI/6, C57BL/6JRccHsd) - Healthy - Snap frozen in liquid N2 immediately after harvest - 12 µm section (on Leica cryostat @ - 30°C) Matrix application Sublimation @ 160°C for 12 min 30 sec Recrystallization With 1 mL of 5% MeOH, 5% Acetic Acid @ 80°C for 2 min 30 sec (starting from RT) Tissue wash According to Yang and Caprioli, <em>Anal. Chem.</em> <strong>2011</strong>, 83, 5728-5734 ; Rinse protocol D
DOI: 10.6084/m9.figshare.735921
title: Dataset S8 - Fosmid 74 Sequence

description: Nucleotide sequence of Fosmid 74.
DOI: 10.6084/m9.figshare.735922
title: Metagenomic profiling of antibiotic resistance genes and other resistome-related elements in wastewater (Supporting Information)

description: Project containing supporting information.
DOI: 10.6084/m9.figshare.735917
title: Supporting Methods

description: Supporting Methods, written in R. See also Supporting Code.
DOI: 10.6084/m9.figshare.735920
title: Dataset S9 - Beta-lactamase ORF

description: Open reading frame (ORF) 2 from Fosmid 74. Predicted by prodigal.
DOI: 10.6084/m9.figshare.735915
title: Dataset S2 - Contigs

description: Metagenomic contigs as assembled by SPAdes 2.4.0.
DOI: 10.6084/m9.figshare.735917.v1
title: Supporting Methods

description: Supporting Methods, written in R. See also Supporting Code.
DOI: 10.6084/m9.figshare.735922.v1
title: Metagenomic profiling of antibiotic resistance genes and other resistome-related elements in wastewater (Supporting Information)

description: Project containing supporting information.
DOI: 10.6084/m9.figshare.735912
title: Supporting Table S2 - GenBank Tranposases

description: Table of tranposases, as generated by MGRAST using the GenBank database.
DOI: 10.6084/m9.figshare.735913
title: Supporting Table S1 - GenBank Antibiotic Resistance Gene Transcriptional Regulators

description: Table of antibiotic resistance gene transcriptional regulators, as generated by MGRAST using the GenBank database.
DOI: 10.6084/m9.figshare.735914
title: Supporting Code

description: Supplemental code used for data analysis and figure generation. Written in R, R Markdown, and Python.
DOI: 10.6084/m9.figshare.735915.v1
title: Dataset S2 - Contigs

description: Metagenomic contigs as assembled by SPAdes 2.4.0.
DOI: 10.6084/m9.figshare.735921.v1
title: Dataset S8 - Fosmid 74 Sequence

description: Nucleotide sequence of Fosmid 74.
DOI: 10.6084/m9.figshare.735910
title: Dataset S7 - RATC Subsystem Abundances

description: Resistance to Antibiotics and Toxic Compounds Subsystem abundance table, with metagenomes used for PCA.
DOI: 10.6084/m9.figshare.735912.v1
title: Supporting Table S2 - GenBank Tranposases

description: Table of tranposases, as generated by MGRAST using the GenBank database.
DOI: 10.6084/m9.figshare.735913.v1
title: Supporting Table S1 - GenBank Antibiotic Resistance Gene Transcriptional Regulators

description: Table of antibiotic resistance gene transcriptional regulators, as generated by MGRAST using the GenBank database.
DOI: 10.6084/m9.figshare.735914.v1
title: Supporting Code

description: Supplemental code used for data analysis and figure generation. Written in R, R Markdown, and Python.
DOI: 10.6084/m9.figshare.735907
title: Dataset S5 - RDP Classification of rRNAs

description: RDP classification of Metaxa-extracted rRNAs. Raw data.
DOI: 10.6084/m9.figshare.735908
title: Dataset S4 - Metaxa Extracted rRNA Sequences

description: rRNA sequences extracted by metaxa from metagenomic contigs. Raw data.
DOI: 10.6084/m9.figshare.735909
title: Dataset S6 - Phylogenetic Profile Comparison

description: Phylogenetic profile of metagenomic contigs using PhymmBL and Metaxa. Calculations via calc_phylum_bp.py script, using Datasets S2-S5.
DOI: 10.6084/m9.figshare.735911
title: Dataset S3 - PhymmBL Phylogenetic Classifications

description: PhymmBL phylogenetic classifications of metagenomic contigs. Raw data.
DOI: 10.6084/m9.figshare.735908.v1
title: Dataset S4 - Metaxa Extracted rRNA Sequences

description: rRNA sequences extracted by metaxa from metagenomic contigs. Raw data.
DOI: 10.6084/m9.figshare.735910.v1
title: Dataset S7 - RATC Subsystem Abundances

description: Resistance to Antibiotics and Toxic Compounds Subsystem abundance table, with metagenomes used for PCA.
DOI: 10.6084/m9.figshare.735911.v1
title: Dataset S3 - PhymmBL Phylogenetic Classifications

description: PhymmBL phylogenetic classifications of metagenomic contigs. Raw data.
DOI: 10.6084/m9.figshare.735906
title: Daatset S1 - SEED Subsystems Functional Classification

description: SEED Subsystems functional classification of metagenomic contigs.
DOI: 10.6084/m9.figshare.735901
title: Bik & Goldstein 2013, Guide to Shortened URLs, CSV format

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535
DOI: 10.6084/m9.figshare.735902
title: Guide to Shortened URLs in Bik & Goldstein 2013

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535 We have provided files in both CSV and XSLX formats.
DOI: 10.6084/m9.figshare.735900
title: Bik & Goldstein 2013, Guide to Shortened URLs, XLSX format

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535
DOI: 10.6084/m9.figshare.735906.v1
title: Daatset S1 - SEED Subsystems Functional Classification

description: SEED Subsystems functional classification of metagenomic contigs.
DOI: 10.6084/m9.figshare.735899
title: SunPy: Python for Solar Physicists

description: Poster created for SunPy for NAM 2013.
DOI: 10.6084/m9.figshare.735901.v1
title: Bik & Goldstein 2013, Guide to Shortened URLs

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535
DOI: 10.6084/m9.figshare.735902.v1
title: Guide to Shortened URLs in Bik & Goldstein 2013

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535 We have provided files in both CSV and XSLX formats.
DOI: 10.6084/m9.figshare.735900.v1
title: Bik & Goldstein 2013, Guide to Shortened URLs, XLSX format

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535
DOI: 10.6084/m9.figshare.735819
title: Learning Globalistics

description: Methodical reflections on globalist didactics.
DOI: 10.6084/m9.figshare.735901.v2
title: Bik & Goldstein 2013, Guide to Shortened URLs, CSV format

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535
DOI: 10.6084/m9.figshare.735902.v2
title: Guide to Shortened URLs in Bik & Goldstein 2013

description: This is a supplemental table that provides a key to the shortened URLs in: Bik HM, Goldstein MC (2013) An Introduction to Social Media for Scientists. PLoS Biol 11(4): e1001535. doi:10.1371/journal.pbio.1001535 We have provided files in both CSV and XSLX formats.
DOI: 10.6084/m9.figshare.735812
title: Direct Infusion Orbitrap MS data

description: mzXML files obtained by the msConvert (Proteowizard) from the RAW files acquired on the Orbitrap Velos Pro by Diect Infusion mass spectrometry using Nanomate (Advion).
DOI: 10.6084/m9.figshare.735819.v1
title: Learning Globalistics

description: Methodical reflections on globalist didactics.