cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1334306
title: Error, signal, and the placement of Ctenophora sister to all other animals

description: Phylogenetic datasets, transcriptome assemblies, and gene annotation associated with the manuscript "Error, signal, and the placement of Ctenophora sister to all other animals" Annotations for genes: the gene number is column 4 (e.g. 1004|) corresponds to the gene as numbered in each gene list in the Final_Datasets.zip file.
DOI: 10.6084/m9.figshare.1334326
title: De Decker & Nycz (2012)

description: This folder contains the original color versions of figures 6-9 from De Decker & Nycz (2012). Note that plot dimensions and line types vary somewhat from the final black and white versions. It also contains the CORRECT images for Figs. 8a and 8b (in the published paper, Fig. 9a and 9b were somehow copied here). ~JN~
DOI: 10.6084/m9.figshare.1334326.v1
title: De Decker & Nycz (2012)

description: This folder contains the original color versions of figures 6-9 from De Decker & Nycz (2012). Note that plot dimensions and line types vary somewhat from the final black and white versions. It also contains the CORRECT images for Figs. 8a and 8b (in the published paper, Fig. 9a and 9b were somehow copied here). ~JN~
DOI: 10.6084/m9.figshare.1334327.v1
title: Clarke, De Decker & Van Herk (forthcoming)

description: Vowel plots for "Newfoundland" chapter in "Listening to the Past", edited by Raymond Hickey.
DOI: 10.6084/m9.figshare.1334302
title: ELEARNING IN ART AND DESIGN: THE ELEPHANT IN THE ROOM

description: Despite the numerous national and international policies that highlight the benefits of elearning for<br>Higher Education (HE), in general art and design education lags behind other disciplines in this<br>respect. The widespread use of Information and Communication Technologies (ICTs) and Virtual<br>Learning Environments (VLEs) in the sector has done little to address this issue; elearning is the<br>elephant in the room, it remains for art and design an area that is unaddressed, under-utilised and<br>under-researched. There is some anecdotal evidence about the reasons for this situation, and this revolves around the notion that studio-based disciplines have a contextual instructional dimension that is incompatible with elearning. This paper explores some of the reasons for the resistance to the introduction of elearning in art and design. Firstly, it highlights the need and rationale for embedding elearning in the respective curricula. Secondly, it elaborates on a threshold concept, vis-à-vis elearning in art and design; a change of perceptions by faculty on the actual role and contribution of elearning in having transformative potential and triggering innovative instructional approaches. It is proposed that the challenge for art and design education is to perceive elearning through the principle of functionalism (form follows function), and thus come up with a variety of useful and relevant applications that can enhance the respective curricula
DOI: 10.6084/m9.figshare.1334294
title: Supplementary Tables S1-S3

description: Pessia, A., Grad, Y., Cobey, S., Puranen, J. S. & Corander, J. K-Pax2: Bayesian identification of cluster-defining amino acid positions in large sequence datasets. Supplementary Table S1. Complete list of sequence accession numbers and metadata. Supplementary Table S2. K-Pax2 output summary. The table contains, for each cluster, the values of the most relevant statistical variables. Supplementary Table S3. List of authors, originating and submitting laboratories of the sequences from GISAID EpiFlu™ Database on which the research is based.
DOI: 10.6084/m9.figshare.1334302.v1
title: ELEARNING IN ART AND DESIGN: THE ELEPHANT IN THE ROOM

description: Despite the numerous national and international policies that highlight the benefits of elearning for<br>Higher Education (HE), in general art and design education lags behind other disciplines in this<br>respect. The widespread use of Information and Communication Technologies (ICTs) and Virtual<br>Learning Environments (VLEs) in the sector has done little to address this issue; elearning is the<br>elephant in the room, it remains for art and design an area that is unaddressed, under-utilised and<br>under-researched. There is some anecdotal evidence about the reasons for this situation, and this revolves around the notion that studio-based disciplines have a contextual instructional dimension that is incompatible with elearning. This paper explores some of the reasons for the resistance to the introduction of elearning in art and design. Firstly, it highlights the need and rationale for embedding elearning in the respective curricula. Secondly, it elaborates on a threshold concept, vis-à-vis elearning in art and design; a change of perceptions by faculty on the actual role and contribution of elearning in having transformative potential and triggering innovative instructional approaches. It is proposed that the challenge for art and design education is to perceive elearning through the principle of functionalism (form follows function), and thus come up with a variety of useful and relevant applications that can enhance the respective curricula
DOI: 10.6084/m9.figshare.1334306.v1
title: Error, signal, and the placement of Ctenophora sister to all other animals

description: Phylogenetic datasets, transcriptome assemblies, and gene annotation associated with the manuscript "Error, signal, and the placement of Ctenophora sister to all other animals" Annotations for genes: the gene number is column 4 (e.g. 1004|) corresponds to the gene as numbered in each gene list in the Final_Datasets.zip file.
DOI: 10.6084/m9.figshare.1334294.v1
title: Supplementary Tables S1-S3

description: Pessia, A., Grad, Y., Cobey, S., Puranen, J. S. & Corander, J. K-Pax2: Bayesian identification of cluster-defining amino acid positions in large sequence datasets. Supplementary Table S1. Complete list of sequence accession numbers and metadata. Supplementary Table S2. K-Pax2 output summary. The table contains, for each cluster, the values of the most relevant statistical variables. Supplementary Table S3. List of authors, originating and submitting laboratories of the sequences from GISAID EpiFlu™ Database on which the research is based.
DOI: 10.6084/m9.figshare.1334306.v2
title: Error, signal, and the placement of Ctenophora sister to all other animals

description: Phylogenetic datasets, transcriptome assemblies, and gene annotation associated with the manuscript "Error, signal, and the placement of Ctenophora sister to all other animals" Annotations for genes: the gene number is column 4 (e.g. 1004|) corresponds to the gene as numbered in each gene list in the Final_Datasets.zip file.
DOI: 10.6084/m9.figshare.1334271.v2
title: Finnish Software Effort Data set

description: The column identifiers are as follows: Project_tech_ID = Project code<br>YK = Customer code<br>Project_name = Project identifier<br>Business_names = Business sector of the customer<br>Protype_names = Development type<br>Hardware_names = Hardware/platform type<br>Duration = Duration of the project in months<br>Size_ep99_proj = Total size of the project software in Experience 2.0 FP's<br>Worksup = Total effort of the supplier<br>SituCoeff = Situation coefficient multiplier<br>T01 = Involvement of the customer representatives<br>T02 = Performance and availability of the development environment<br>T03 = Availability of IT staff<br>T04 = Number of stakeholders<br>T05 = Pressure on schedule<br>T06 = Impact of standards<br>T07 = Impact of methods<br>T08 = Impact of tools<br>T09 = Level of change management<br>T10 = Maturity of software development process<br>T11 = Logical complexity of software<br>T12 = Size of database based on number of entities<br>T13 = Number of interfaces to other software<br>T14 = Quality requirements of software<br>T15 = Efficiency requirements of software<br>T16 = Training and installation/platform requirements<br>T17 = Analysis skills of staff<br>T18 = Application knowledge of staff<br>T19 = Tool skills of staff<br>T20 = Experience of project management<br>T21 = Team skills of the project team<br>InpTot = Total number of input functions<br>InpFP = Size of inputs in Experience 2.0 fp's<br>InqTot = Total number of inquiry functions<br>InqFP = Size of inquiries in Experience 2.0 fp's<br>OutTot = Total number of output functions<br>OutFP = Size of outputs in Experience 2.0 fp's<br>IntTot = Total number of interface functions<br>IntFP = Size of interfaces in Experience 2.0 fp's<br>EntTot = Total number of entities<br>EntFP = Size of entities in Experience 2.0 fp's<br>AlgTot = Total number of algorithmic functions<br>AlgFP = Size of algorithms in Experience 2.0 fp's<br>AllTot = Total number of all types of functions<br>AllFP_ep20 = Application size in Experience 2.0 fp's
DOI: 10.6084/m9.figshare.1334232
title: Highest Resolution in vivo Human Brain MRI Using Prospective Motion Correction: highest resolution ToF data

description: Full dataset (140 slices) of the highest resolution 3D ToF scan (shown in Fig. 8).
DOI: 10.6084/m9.figshare.1334237
title: Shell Scripting 101

description: These are slides and examples from a lecture I taught on beginning shell scripting for computational biologists. Example files are included - feel free to try out the examples (and the assignment, if you're interested), and contact me (arunsethuraman@gmail.com) for any clarifications. Hope you'll find it useful! Cheers, Arun
DOI: 10.6084/m9.figshare.1334237.v1
title: Shell Scripting 101

description: These are slides and examples from a lecture I taught on beginning shell scripting for computational biologists. Example files are included - feel free to try out the examples (and the assignment, if you're interested), and contact me (arunsethuraman@gmail.com) for any clarifications. Hope you'll find it useful! Cheers, Arun
DOI: 10.6084/m9.figshare.1334229
title: Highest Resolution in vivo Human Brain MRI Using Prospective Motion Correction: highest resolution GRE data

description: Full dataset (21 slices) of the highest<br>resolution T2* 2D GRE scan (shown in Fig. 6).
DOI: 10.6084/m9.figshare.1334231
title: Highest Resolution in vivo Human Brain MRI Using Prospective Motion Correction: highest resolution MPRAGE data

description: Full dataset (384 slices) of the<br>highest resolution 3D MPRAGE scan (shown in Fig. 7).
DOI: 10.6084/m9.figshare.1334185
title: Records of Longhorned beetle from Tripura, Northeast India

description: Previously known as Aristobia testidua, this species is now correctly identified as <em>Aristobia reticulator</em> (Fabricius 1781) and adults also feed on the bark of a wild shrub, Microcos paniculata, found commonly in the wasteland and forests of Tripura and elsewhere in northeast India. The distribution range of this species is Southeast Asia.
DOI: 10.6084/m9.figshare.1334185.v1
title: Records of Longhorned beetle from Tripura, Northeast India

description: Previously known as Aristobia testidua, this species is now correctly identified as <em>Aristobia reticulator</em> (Fabricius 1781) and adults also feed on the bark of a wild shrub, Microcos paniculata, found commonly in the wasteland and forests of Tripura and elsewhere in northeast India. The distribution range of this species is Southeast Asia.
DOI: 10.6084/m9.figshare.1334179
title: Overlay maps based on Mendeley data: The use of altmetrics for readership networks

description: Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 and Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that the user does not have to produce a network based on all data (e.g. from one year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.
DOI: 10.6084/m9.figshare.1334120
title: forest governance participation dataset

description: data on which countries participate in the UN-REDD programme and/or the Forest Carbon Partnership Facility (FCPF), as of March 2015. Data sourced from un-redd.org & forestcarbonpartnership.org if this needs updating as new countries participate, or if you update this data and share a new version, please email me at cobi.smith@anu.edu.au
DOI: 10.6084/m9.figshare.1334179.v1
title: Overlay map for Science, Nature, PNAS

description: Overlay map based on articles and reviews from 2012 for Nature, Science and Proceedings of the National Academy of Sciences of the United States of America. The file can be loaded in VOSViewer for visualization.
DOI: 10.6084/m9.figshare.1334101
title: SEM data

description: Dissertation experiment where warming chambers and nitrogen addition were used as treatments to assess effects on a native plant community.
DOI: 10.6084/m9.figshare.1333625
title: the effect of habitat structure on scat detection dog performance

description: The data provides descriptions of a range of the conditions and appearance of scats used in training, as welll as environmental conditions, to inform further studies. The full dataset may be used with additional data for a separate publication and will be available in 12 months.
DOI: 10.6084/m9.figshare.1333709
title: Lista de espécies ocorrentes em 14 localidades de caatinga sobre bacia sedimentar arenosa (S) e embasamento cristalino (C) no município de Tucano, nordeste da Bahia, Brasil.

description: Lista de espécies ocorrentes em 14 localidades de caatinga sobre bacia sedimentar arenosa (S) e embasamento cristalino (C) no município de Tucano, nordeste da Bahia, Brasil. Siglas para as iniciais dos coletores, hábitos, observações: AMC = A.M. de Carvalho; DC = D.Cardoso; GC = G. Costa; LCLL = L.C.L.Lima; LPQ = L.P.de Queiroz; HM = H.Maia; MCM = M.C.Machado; MTOM = M.T.O. Menezes; RPO = R.P. Oliveira; arb = arbusto; arv = árvore; epi = epífita; erv = erva; hem = hemiparasita; trep = trepadeira; end = endêmica; rl = Red List; ex = exótica.
DOI: 10.6084/m9.figshare.1333709.v1
title: Lista de espécies ocorrentes em 14 localidades de caatinga sobre bacia sedimentar arenosa (S) e embasamento cristalino (C) no município de Tucano, nordeste da Bahia, Brasil.

description: Lista de espécies ocorrentes em 14 localidades de caatinga sobre bacia sedimentar arenosa (S) e embasamento cristalino (C) no município de Tucano, nordeste da Bahia, Brasil. Siglas para as iniciais dos coletores, hábitos, observações: AMC = A.M. de Carvalho; DC = D.Cardoso; GC = G. Costa; LCLL = L.C.L.Lima; LPQ = L.P.de Queiroz; HM = H.Maia; MCM = M.C.Machado; MTOM = M.T.O. Menezes; RPO = R.P. Oliveira; arb = arbusto; arv = árvore; epi = epífita; erv = erva; hem = hemiparasita; trep = trepadeira; end = endêmica; rl = Red List; ex = exótica.
DOI: 10.6084/m9.figshare.1334071
title: Koala skull CT scan

description: This is a file set of 200 CT slices of a koala skull with the soft tissue. The koala is an adult male that was struck by a car in Victoria, Australia. There is a fracture of the mandible.
DOI: 10.6084/m9.figshare.1334179.v2
title: Overlay map for Science, Nature, PNAS

description: Figure 6: Overlay map based on articles and reviews from 2012 for Nature, Science and Proceedings of the National Academy of Sciences of the United States of America. The file can be uploaded to VOSViewer for visualization.
DOI: 10.6084/m9.figshare.1334101.v1
title: SEM data

description: Dissertation experiment where warming chambers and nitrogen addition were used as treatments to assess effects on a native plant community.
DOI: 10.6084/m9.figshare.1333621
title: the effect of habitat on scat detection dog performance - manuscript data

description: This dataset contains the data used in analysis for the manuscript "An assessment of the effects of habitat structure on the scat finding performance of a wildlife detection dog" published in Methods in Ecology and Evolution.
DOI: 10.6084/m9.figshare.1333624
title: Jakobshavn WorldView DEMs

description: Original filelist of WorldView stereo pairs which were then processed through the Ames Stereo Pipeline to create high resolution digital elevation models (DEMs). These high resolution DEMs were then downsampled to 30 m resolution for comparison with Landsat 8-derived supraglacial lake depths. See Shean et al. (in prep) for DEM creation methodology, Pope et al. (Computers and Geosciences) for reprojection and analysis documentation, and Pope et al. (The Cryosphere) for presentation of data and results.
DOI: 10.6084/m9.figshare.1333625.v1
title: the effect of habitat structure on scat detection dog performance

description: The data provides descriptions of a range of the conditions and appearance of scats used in training, as welll as environmental conditions, to inform further studies. The full dataset may be used with additional data for a separate publication and will be available in 12 months.
DOI: 10.6084/m9.figshare.1334179.v3
title: Overlay map for Science, Nature, PNAS

description: Figure 6: Overlay map based on articles and reviews from 2012 for Nature, Science and Proceedings of the National Academy of Sciences of the United States of America. The file can be uploaded to VOSViewer for visualization.
DOI: 10.6084/m9.figshare.1333601
title: Data from Mercury concentrations in multiple tissues of Arctic Iceland Gulls (Larus glaucoides) wintering in Newfoundland

description: Data on total mercury measured in body feathers, blood plasma, and red blood cells in Iceland Gulls wintering in eastern Newfoundland from 2011-2014. Bond, A.L., and G.J. Robertson. 2015. Mercury concentrations in multiple tissues of Arctic Iceland Gulls (Larus glaucoides) wintering in Newfoundland. Arctic Science. DOI: 10.1139/AS-2015-0004
DOI: 10.6084/m9.figshare.1333621.v1
title: the effect of habitat on scat detection dog performance - manuscript data

description: This dataset contains the data used in analysis for the manuscript "An assessment of the effects of habitat structure on the scat finding performance of a wildlife detection dog" published in Methods in Ecology and Evolution.
DOI: 10.6084/m9.figshare.1333624.v1
title: Jakobshavn WorldView DEMs

description: Original filelist of WorldView stereo pairs which were then processed through the Ames Stereo Pipeline to create high resolution digital elevation models (DEMs). These high resolution DEMs were then downsampled to 30 m resolution for comparison with Landsat 8-derived supraglacial lake depths. See Shean et al. (in prep) for DEM creation methodology, Pope et al. (Computers and Geosciences) for reprojection and analysis documentation, and Pope et al. (The Cryosphere) for presentation of data and results.
DOI: 10.6084/m9.figshare.1333599
title: Predictors of Frequent Emergency Room Visits Among a Homeless Population - Dataset

description: Dataset includes key variables (demographics, health characteristics, health service utilization) included in analysis.
DOI: 10.6084/m9.figshare.1333601.v1
title: Data from Mercury concentrations in multiple tissues of Arctic Iceland Gulls (Larus glaucoides) wintering in Newfoundland

description: Data on total mercury measured in body feathers, blood plasma, and red blood cells in Iceland Gulls wintering in eastern Newfoundland from 2011-2014. Bond, A.L., and G.J. Robertson. 2015. Mercury concentrations in multiple tissues of Arctic Iceland Gulls (Larus glaucoides) wintering in Newfoundland. Arctic Science. DOI: 10.1139/AS-2015-0004
DOI: 10.6084/m9.figshare.1334179.v4
title: Overlay maps based on Mendeley data: The use of altmetrics for readership networks

description: Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 and Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that the user does not have to produce a network based on all data (e.g. from one year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.
DOI: 10.6084/m9.figshare.1333599.v1
title: Predictors of Frequent Emergency Room Visits Among a Homeless Population - Dataset

description: Dataset includes key variables (demographics, health characteristics, health service utilization) included in analysis.
DOI: 10.6084/m9.figshare.1333593
title: No effect of an elevated miR-30b level in mouse milk on its level in pup tissues

description: Recent reports have shown that ingested microRNAs may be transferred to blood, accumulate in tissues and exert canonical regulation on endogenous transcripts. In spite of several attempts to replicate these findings, they have not been confirmed and several questions remain. By using a transgenic mouse model presenting a high level of miR-30b in milk, the horizontal delivery of this microRNA <i>via</i> oral ingestion was studied in pups. Our findings demonstrated that, although very high levels of miR-30b were found in milk and in stomach contents of the pups, we did not detect an increase in miR-30b in tissues of pups fed by transgenic females compared to pups fed by wild-type females.
DOI: 10.6084/m9.figshare.1334179.v5
title: Overlay maps based on Mendeley data: The use of altmetrics for readership networks

description: Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 and Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that the user does not have to produce a network based on all data (e.g. from one year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.
DOI: 10.6084/m9.figshare.1334179.v6
title: Overlay maps based on Mendeley data: The use of altmetrics for readership networks

description: Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 and Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that the user does not have to produce a network based on all data (e.g. from one year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.