cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.867703
title: Beaver dams shift desert fish assemblages toward dominance by non-native species (Verde River, Arizona, USA)

description: Gibson PG, Olden JD, O'Neill MO. 2015. Beaver dams shift desert fish assemblages toward dominance by non-native species (Verde River, Arizona, USA). <em>Ecology of Freshwater Fishes 24:355-372.<br></em> <strong>PLEASE email J. Olden (olden@uw.edu) if you use this data in your research.</strong> <strong>Abstract</strong><br>The reintroduction of beaver (Castor canadensis) into arid and semi-arid rivers is receiving increasing management and conservation attention in recent years, yet very little is known about native vs. non-native fish occupancy in beaver pond habitats. Streams of the American Southwest support a highly endemic, highly endangered native fish fauna and abundant non-native fishes, and here we investigated the hypothesis that beaver ponds in this region may lead to fish assemblages dominated by non-native species. We sampled fish assemblages within beaver ponds and within unimpounded stream reaches in the mainstem and in tributaries of the free-flowing upper Verde River, central Arizona. Non-native fishes consistently outnumbered native species, and this dominance was greater in pond than in stream assemblages. Few native species were recorded within ponds. Multivariate analysis indicated that fish assemblages in beaver ponds were distinct from those in stream reaches, in both mainstem and tributary locations. Individual species driving this distinction included abundant non-native green sunfish (Lepomis cyanellus) and western mosquitofish (Gambusia affinis) in pond sites, and native desert sucker (Catostomus clarkii) in streams. Overall, this study provides the first evidence that, relative to unimpounded stream habitat, beaver ponds in the Verde River basin support abundant small-bodied non-native fishes, which could have negative impacts on co-occurring native fish populations.
DOI: 10.6084/m9.figshare.867703.v1
title: Beaver dams shift desert fish assemblages toward dominance by non-native species (Verde River, Arizona, USA)

description: Gibson PG, Olden JD, O'Neill MO. In review. Beaver dams shift desert fish assemblages toward dominance by non-native species (Verde River, Arizona, USA). <em>Ecology of Freshwater Fishes.</em> <strong>PLEASE email J. Olden (olden@uw.edu) if you use this data in your research.</strong> <strong>Abstract</strong><br>The reintroduction of beaver (Castor canadensis) into arid and semi-arid rivers is receiving increasing management and conservation attention in recent years, yet very little is known about native vs. non-native fish occupancy in beaver pond habitats. Streams of the American Southwest support a highly endemic, highly endangered native fish fauna and abundant non-native fishes, and here we investigated the hypothesis that beaver ponds in this region may lead to fish assemblages dominated by non-native species. We sampled fish assemblages within beaver ponds and within unimpounded stream reaches in the mainstem and in tributaries of the free-flowing upper Verde River, central Arizona. Non-native fishes consistently outnumbered native species, and this dominance was greater in pond than in stream assemblages. Few native species were recorded within ponds. Multivariate analysis indicated that fish assemblages in beaver ponds were distinct from those in stream reaches, in both mainstem and tributary locations. Individual species driving this distinction included abundant non-native green sunfish (Lepomis cyanellus) and western mosquitofish (Gambusia affinis) in pond sites, and native desert sucker (Catostomus clarkii) in streams. Overall, this study provides the first evidence that, relative to unimpounded stream habitat, beaver ponds in the Verde River basin support abundant small-bodied non-native fishes, which could have negative impacts on co-occurring native fish populations.
DOI: 10.6084/m9.figshare.867686
title: Open letter to Student Attendance Monitoring Steering Group

description: This is an open letter of March 2013, written collaboratively by the listed authors and counter-signed by around 50 postgraduate students. It relates to a dispute with Newcastle University over their proposed implementation of a student surveillance system. The system was originally a response to the requirements of the UK Border Agency.
DOI: 10.6084/m9.figshare.867685
title: Digital Forensic Model for Non-Tecnical Lay People

description: Biometric data are being adopted increasingly by country governments and commercial organisations worldwide for Personal Identification and Recognition. This implied that Individuals of all walks of life may very soon become holders of biometric E-Passports, Visa and Credit cards, as well as other biometric identification documents. A core problem already suffered by the general lay and non-technical members of society involved the complex technical and fragmented settings of bureaucratic systems. How does one go about in reporting a hacking incident? The proposed Forensic Model as illustrated in <strong>Figure 5 </strong>provides an easy ‘do it yourself’ prescription for all non-technical lay people in organisations or home computer users or holders of any form of legal identification document in case of a potential breach of the law. The forensic investigation components contained all tasks expected to be carried out during each phase of the model. The three Phases of the model include: <strong>1. </strong>The <strong>Basic Phase </strong>- signifies the beginning of the forensic investigation process once the user realized that he/she has been hacked. <strong>2. </strong>The <strong>Advanced Phase</strong>– refers to the more detailed examination of evidence involving more sophisticated computer and experienced staff or others. <strong>3. </strong>The <strong>Specialist Phase </strong>- refers to a complete investigation analysis, examination and live presentation of evidences by the Forensic Scientific Laboratory Team with specialized equipment. <strong> </strong> <strong>7.3. Applications for Non-Technical Lay Members of Society. </strong> <strong> </strong> <strong>Phase 1 Basic </strong>– If an individual had suspected that any of his or her Identification Documents have been hacked, the basic step requires conducting an in-house investigation using the easy flexible digital forensic investigation components including: collecting, examining, reporting, presenting and preserving the information. Do not attempt to make changes in the documents. <strong> </strong> <strong>Phase 2 Advanced </strong>- Immediately report the incident to any of the community not-for-profit organisations such as the Community Law Centre; Citizens Advice Bureau; or ring the local police; or even contact some experienced friends to help with the forensic processes. The advanced level staff will then make appropriate referral to the Specialist Level. <strong> </strong> <strong>Phase 3 Specialist </strong>- will conduct the forensic investigation, examination and presentation of evidences in a court of law.
DOI: 10.6084/m9.figshare.867686.v1
title: Open letter to Student Attendance Monitoring Steering Group

description: This is an open letter of March 2013, written collaboratively by the listed authors and counter-signed by around 50 postgraduate students. It relates to a dispute with Newcastle University over their proposed implementation of a student surveillance system. The system was originally a response to the requirements of the UK Border Agency.
DOI: 10.6084/m9.figshare.867687.v1
title: Supplemental Table S2

description: Supplemental Table S2 for DEVELOP/2013/101709
DOI: 10.6084/m9.figshare.867666
title: Gaussian Job Archive for C45H70N4O9Zn2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867666.v1
title: Gaussian Job Archive for C45H70N4O9Zn2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867663
title: Neuromarketing db - Methodology report

description: This is the report written by Nicoline Beun who acted as a research assistant in 2009 on the project to document the history of neuromarketing in online media, conducted at the Rotterdam School of Management (related paper in submission). In this document, Nicoline reports the details of her search methods.
DOI: 10.6084/m9.figshare.867665
title: Gaussian Job Archive for C9H8O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867663.v1
title: Neuromarketing db - Methodology report

description: This is the report written by Nicoline Beun who acted as a research assistant in 2009 on the project to document the history of neuromarketing in online media, conducted at the Rotterdam School of Management (related paper in submission). In this document, Nicoline reports the details of her search methods.
DOI: 10.6084/m9.figshare.867664
title: Gaussian Job Archive for C9H8O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867665.v1
title: Gaussian Job Archive for C9H8O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867661
title: Sr-90 Initial Sample

description: Strontium-90 sample data set used to determine clustering algorithm definitions. Bias Voltage = 94V Acquisition Time = 0.01s 1000 Frames
DOI: 10.6084/m9.figshare.867662
title: Am-241 Initial Sample

description: Americium-241 sample data set used to determine clustering algorithm definitions. Bias Voltage = 94V Acquisition Time = 0.01s 1000 Frames
DOI: 10.6084/m9.figshare.867658
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867659
title: CERN@school: Attenuation of Radiation sample dataset

description: This dataset was obtained by A. Coupe (SEPnet intern, CERN@school) with a Timepix hybrid silicon detector as part of an experiment to measure the attenuation of beta particles from Strontium-90 by sheets of aluminium with varying thicknesses. The experiment and its results are described in (Whyntie et al. 2015).<br> The detector settings can be found in accompanying .dsc files. The distance from source to detector was 9.3 cm, the distance from source to aluminium was 4.0 cm. Inside the zip file, the data for each thickness of aluminium is saved in a file with the thickness as its folder name. Data is stored in dataXXX.txt files in X,Y,C format, where X is the x-co-ordinate of the hit pixel in the Timepix detector's 256x256 pixel silicon sensor element, Y is the y-co-ordinate of the pixel, and C is the number of counts recorded in the pixel. The counts recorded is equivalent to the charge deposited in the pixel about a predetermined threshold value. The detector is run in Time-Over-Threshold (ToT) mode, where it measures the charge for the amount of time it is above the threshold value.Code for analysing the data can be found at the GitHub repository listed below.<br><i>This work was supported by the UK Science and Technology Facilities Council (STFC) via grant numbers ST/J000256/1 and ST/N00101X/1, as well as a Special Award from the Royal Commission for the Exhibition of 1851. The authors wish to thank SEPnet for supporting A. Coupe's summer internship with CERN@school.</i><b>References</b><i><br></i>Whyntie, T. et al. "<i>CERN@school: demonstrating physics with the Timepix detector</i>", Contemporary Physics doi:10.1080/00107514.2015.1045193 (2015)<br>
DOI: 10.6084/m9.figshare.867661.v1
title: Sr-90 Initial Sample

description: Strontium-90 sample data set used to determine clustering algorithm definitions. Bias Voltage = 94V Acquisition Time = 0.01s 1000 Frames
DOI: 10.6084/m9.figshare.867662.v1
title: Am-241 Initial Sample

description: Americium-241 sample data set used to determine clustering algorithm definitions. Bias Voltage = 94V Acquisition Time = 0.01s 1000 Frames
DOI: 10.6084/m9.figshare.867664.v1
title: Gaussian Job Archive for C9H8O2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.867472
title: Laboratory-scale Data

description: Sequences from disinfection study of laboratory drinking water biofilter effluent.
DOI: 10.6084/m9.figshare.867656
title: Perithous speculator Haupt, 1954, holotype - original description and figures

description: <em><strong>Perithous speculator</strong></em> Haupt, 1954, holotype, ♀ Type locality. Germany: Halle a.S. Burgstraße 19 (51.49850°N,11.95582°E). The fileset contains a PDF file with the original description by Hermann Haupt from 1954, and two plates with high resolution figures of the holotype by Andreas Taeger. The type is housed in the collection of Senckenberg Deutsches Entomologisches Institut, Müncheberg. Photos were taken at the SDEI with a Leica DFC 495 digital camera and M205 C microscope. Composite images with an extended depth of field were created from stacks of images using the software CombineZP, and finally arranged and partly enhanced with Ulead PhotoImpact X3. Reference: Haupt, H. 1954: Fensterfänge bemerkenswerter Ichneumonidae (Hym.), darunter 10 neuer Arten. Deutsche Entomologische Zeitschrift N. F. <strong>1</strong>[1944-1954](1-2): 99-116.
DOI: 10.6084/m9.figshare.867658.v1
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866828
title: Academis Powerful Presentations

description: A PDF full of tips for improving the impact of Your scientific presentations. Find out what master speakers do differently. <strong>Contents</strong> 1) The learning Path of Presenters<br>2) Recipe for creating a Talk<br>3) Strong Openings<br>4) Less Content is More<br>5) Preparation Checklist<br>6) Feedback Sheet
DOI: 10.6084/m9.figshare.866829
title: Academis Getting Grants

description: <strong>This ebook contains six brief articles that put you on the tracks towards writing a successful grant application.</strong> It covers what is the basis for persuasive writing, and where and when to start writing an application. Three separate parts help you to convince grant secretaries, reviewers, and commissions. Finally, you find a list of Do's and Don'ts. I wrote the ebook for PhD and MSc students preparing their first grant application. If you are an experienced scientist, I would appreciate your comments so that I can improve future material.
DOI: 10.6084/m9.figshare.867472.v1
title: Laboratory-scale Data

description: Sequences from disinfection study of laboratory drinking water biofilter effluent.
DOI: 10.6084/m9.figshare.867659.v2
title: CERN@school: Attenuation of Radiation sample dataset

description: This dataset was obtained by A. Coupe (SEPnet intern, CERN@school) with a Timepix hybrid silicon detector as part of an experiment to measure the attenuation of beta particles from Strontium-90 by sheets of aluminium with varying thicknesses. The experiment and its results are described in (Whyntie et al. 2015).<br> The detector settings can be found in accompanying .dsc files. The distance from source to detector was 9.3 cm, the distance from source to aluminium was 4.0 cm. Inside the zip file, the data for each thickness of aluminium is saved in a file with the thickness as its folder name. Data is stored in dataXXX.txt files in X,Y,C format, where X is the x-co-ordinate of the hit pixel in the Timepix detector's 256x256 pixel silicon sensor element, Y is the y-co-ordinate of the pixel, and C is the number of counts recorded in the pixel. The counts recorded is equivalent to the charge deposited in the pixel about a predetermined threshold value. The detector is run in Time-Over-Threshold (ToT) mode, where it measures the charge for the amount of time it is above the threshold value.Code for analysing the data can be found at the GitHub repository listed below.<br><i>This work was supported by the UK Science and Technology Facilities Council (STFC) via grant numbers ST/J000256/1 and ST/N00101X/1, as well as a Special Award from the Royal Commission for the Exhibition of 1851. The authors wish to thank SEPnet for supporting A. Coupe's summer internship with CERN@school.</i><b>References</b><i><br></i>Whyntie, T. et al. "<i>CERN@school: demonstrating physics with the Timepix detector</i>", Contemporary Physics doi:10.1080/00107514.2015.1045193 (2015)<br>
DOI: 10.6084/m9.figshare.866827
title: Academis Linux Tutorial

description: In this tutorial you can learn the basics of Unix using the command line. This tutorial is for you if you have no previous experience with Unix-like systems, or know a few commands but would like to know more.
DOI: 10.6084/m9.figshare.867659.v1
title: Sr-90 test data

description: Data taken by Azaria Coupe (SEPnet intern, CERN@school) with a Timepix hybrid silicon detector as part of an experiment to measure the attenuation of beta particles from Strontium-90 by sheets of aluminium with varying thicknesses. The detector settings can be found in accompanying .dsc files. The distance from source to detector was 9.3 cm, the distance from source to aluminium was 4.0 cm. Inside the zip file, the data for each thickness of aluminium is saved in a file with the thickness as its folder name. Data is stored in dataXXX.txt files in X,Y,C format, where X is the x-co-ordinate of the hit pixel in the Timepix detector's 256x256 pixel silicon sensor element, Y is the y-co-ordinate of the pixel, and C is the number of counts recorded in the pixel. The counts recorded is equivalent to the charge deposited in the pixel about a predetermined threshold value. The detector is run in Time-Over-Threshold (ToT) mode, where it measures the charge for the amount of time it is above the threshold value.
DOI: 10.6084/m9.figshare.866829.v2
title: Academis Getting Grants

description: <strong>This ebook contains six brief articles that put you on the tracks towards writing a successful grant application.</strong> It covers what is the basis for persuasive writing, and where and when to start writing an application. Three separate parts help you to convince grant secretaries, reviewers, and commissions. Finally, you find a list of Do's and Don'ts. I wrote the ebook for PhD and MSc students preparing their first grant application. If you are an experienced scientist, I would appreciate your comments so that I can improve future material.
DOI: 10.6084/m9.figshare.866828.v2
title: Academis Powerful Presentations

description: A PDF full of tips for improving the impact of Your scientific presentations. Find out what master speakers do differently. <strong>Contents</strong> 1) The learning Path of Presenters<br>2) Recipe for creating a Talk<br>3) Strong Openings<br>4) Less Content is More<br>5) Preparation Checklist<br>6) Feedback Sheet
DOI: 10.6084/m9.figshare.866829.v1
title: Academis Getting Grants

description: <strong>This ebook contains six brief articles that put you on the tracks towards writing a successful grant application.</strong> It covers what is the basis for persuasive writing, and where and when to start writing an application. Three separate parts help you to convince grant secretaries, reviewers, and commissions. Finally, you find a list of Do's and Don'ts. I wrote the ebook for PhD and MSc students preparing their first grant application. If you are an experienced scientist, I would appreciate your comments so that I can improve future material.
DOI: 10.6084/m9.figshare.866828.v1
title: Academis Powerful Presentations

description: A PDF full of tips for improving the impact of Your scientific presentations. Find out what master speakers do differently. <strong>Contents</strong> 1) The learning Path of Presenters<br>2) Recipe for creating a Talk<br>3) Strong Openings<br>4) Less Content is More<br>5) Preparation Checklist<br>6) Feedback Sheet
DOI: 10.6084/m9.figshare.866798
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866799
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866803
title: MPWide version 1.8.1

description: Version 1.8.1 of the MPWide communication library for wide area message passing
DOI: 10.6084/m9.figshare.866796
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866797
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866798.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866799.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866795
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866796.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866797.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866793
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866794
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866795.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866792
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866792.v1
title: Gaussian Job Archive for C42H46N6O6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866793.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866794.v1
title: Gaussian Job Archive for C21H23N3O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866774
title: Instrument: SRLMQ

description: Survey instrument to test SRL behaviour of learners in a MOOC.
DOI: 10.6084/m9.figshare.866782
title: Gaussian Job Archive for C8H4O3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.866773
title: PL-MOOC Semi-structured interview script

description: Interview script to explore SRL behaviour in Massive Open Online Courses.
DOI: 10.6084/m9.figshare.866764
title: Gaussian Job Archive for C45H70N4O9Zn2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.