cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1476988
title: Input tracts (subject #01)

description: Fiber tracts data used in the below paper: An example-based multi-atlas approach to automatic labeling of white matter tracts (PLOS One 2015) - This file is for fiber tracts of subject #01 <strong>DOIs of other data:</strong> <br>- Input tracts s2: http://dx.doi.org/10.6084/m9.figshare.1476989 s3: http://dx.doi.org/10.6084/m9.figshare.1476987 s4: http://dx.doi.org/10.6084/m9.figshare.1476991 s5: http://dx.doi.org/10.6084/m9.figshare.1476992 s6: http://dx.doi.org/10.6084/m9.figshare.1476993 s7: http://dx.doi.org/10.6084/m9.figshare.1477902 s8: http://dx.doi.org/10.6084/m9.figshare.1477900 s9: http://dx.doi.org/10.6084/m9.figshare.1477901 s10: http://dx.doi.org/10.6084/m9.figshare.1477903 s11: http://dx.doi.org/10.6084/m9.figshare.1477904 s12: http://dx.doi.org/10.6084/m9.figshare.1477905 <strong></strong> <br>- Manually labeled tracts LH: http://dx.doi.org/10.6084/m9.figshare.1476981 RH: http://dx.doi.org/10.6084/m9.figshare.1476982 - Automatically labeled tracts LH: http://dx.doi.org/10.6084/m9.figshare.1476983 RH-1: http://dx.doi.org/10.6084/m9.figshare.1476984 RH-2: http://dx.doi.org/10.6084/m9.figshare.1476985
DOI: 10.6084/m9.figshare.1476989
title: Input tracts (subject #02)

description: Fiber tracts of subject #02
DOI: 10.6084/m9.figshare.1476989.v1
title: Input tracts (subject #02)

description: Fiber tracts of subject #02
DOI: 10.6084/m9.figshare.1476991.v1
title: Input tracts (subject #04)

description: Fiber tracts of subject #04
DOI: 10.6084/m9.figshare.1476987
title: Input tracts (subject #03)

description: Fiber tracts of subject #03
DOI: 10.6084/m9.figshare.1476984
title: Automatically labeled tracts (right1)

description: Automatically labeled tracts for right hemispheres of 6 subjects
DOI: 10.6084/m9.figshare.1476985
title: Automatically labeled tracts (right2)

description: Automatically labeled tracts for right hemispheres of 6 subjects
DOI: 10.6084/m9.figshare.1476987.v1
title: Input tracts (subject #03)

description: Fiber tracts of subject #03
DOI: 10.6084/m9.figshare.1476983
title: Automatically labeled tracts (left)

description: Automatically labeled tracts for left hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476984.v1
title: Automatically labeled tracts (right1)

description: Automatically labeled tracts for right hemispheres of 6 subjects
DOI: 10.6084/m9.figshare.1476982
title: Manually labeled tracts (right)

description: Manually labeled tracts for right hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476985.v1
title: Automatically labeled tracts (right2)

description: Automatically labeled tracts for right hemispheres of 6 subjects
DOI: 10.6084/m9.figshare.1476980
title: Flamingos

description: This is the artwork created for an online game that has been shared via scratch.mit.edu
DOI: 10.6084/m9.figshare.1476981
title: Manually labeled tracts (left)

description: Manually labeled tracts for left hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476983.v2
title: Automatically labeled tracts (left)

description: Automatically labeled tracts for left hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476983.v1
title: Automatically labeled tracts

description: Automatically labeled tracts for left hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476980.v2
title: Flamingos

description: This is the artwork created for an online game that has been shared via scratch.mit.edu
DOI: 10.6084/m9.figshare.1476916
title: Raw Data for Liquid-vapor PCM Paper

description: This dataset accompanies a publication in PLOS One (2015) by Shah K, Guelig D, Diesburg S, Buser J, Burton R, LaBarre P, Richards-Kortum R, and Weigl B titled "Design of a new type of compact chemical heater for isothermal nucleic acid amplification."
DOI: 10.6084/m9.figshare.1476982.v1
title: Manually labeled tracts

description: Manually labeled tracts for right hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476916.v1
title: Raw Data for Liquid-vapor PCM Paper

description: This dataset accompanies a publication in PLOS One (2015) by Shah K, Guelig D, Diesburg S, Buser J, Burton R, LaBarre P, Richards-Kortum R, and Weigl B titled "Design of a new type of compact chemical heater for isothermal nucleic acid amplification."
DOI: 10.6084/m9.figshare.1476981.v1
title: Manually labeled tracts

description: Manually labeled tracts for left hemispheres of 12 subjects
DOI: 10.6084/m9.figshare.1476980.v1
title: Flamingos

description: This is the artwork created for an online game that has been shared via scratch.mit.edu
DOI: 10.6084/m9.figshare.1476896
title: Sinnett et al Data

description: This datafile contains the data elements from our study examining the use of clinical trials registry searches in systematic reviews in neurology
DOI: 10.6084/m9.figshare.1476904
title: Association between paraoxonase 1 (PON1) polymorphisms and the risk of acute coronary syndrome

description: PON1 activity and genotype in Morrocan population
DOI: 10.6084/m9.figshare.1476904.v1
title: Association between paraoxonase 1 (PON1) polymorphisms and the risk of acute coronary syndrome

description: PON1 activity and genotype in Morrocan population
DOI: 10.6084/m9.figshare.1476896.v1
title: Sinnett et al Data

description: This datafile contains the data elements from our study examining the use of clinical trials registry searches in systematic reviews in neurology
DOI: 10.6084/m9.figshare.1476870
title: Software to calculate the magnetocaloric effect in second-order magnetic phase transition materials

description: With this code, written in Scilab, the user can calculate the magnetic entropy change and refrigerant capacity of a material with second-order magnetic phase transition. It uses as input the isothermal magnetization vs. magnetization curves placed in the same file with three columns: the first one is for temperatures, the second for applied magnetic field, the last for magnetization. You can find an example of input file distribution in the document named Pr2Fe17_Bulk_O_M(T,H).THM.
DOI: 10.6084/m9.figshare.1476831
title: Workflows and Flowcharts for report "RDM workflows and integrations for HEIs using hosted services"

description: Diagrams and flowcharts used in the report "RDM workflows and integrations for HEIs using hosted services" Matthew Addis. DOI: dx.doi.org/10.6084/m9.figshare.1476832 The upload and download process for extended EPrints/Arkivum integration (mockups) are by Tim Miles-Board at the University of London Computing Centre (ULCC). The other diagrams/flowcharts are by Matthew addis, Arkivum.
DOI: 10.6084/m9.figshare.1476780
title: GREAM-Files

description: The file set includes genome-wide statistics of the repeat element distribution, Homologene database and perl scripts for analysis
DOI: 10.6084/m9.figshare.1476805
title: Mechanism of Ion Permeation in Mammalian Voltage-Gated Sodium Channels

description: Nav1.4 model
DOI: 10.6084/m9.figshare.1476780.v2
title: GREAM-Files

description: The file set includes genome-wide statistics of the repeat element distribution, Homologene database and perl scripts for analysis
DOI: 10.6084/m9.figshare.1476293
title: Consensus expression signatures for L1000 compounds

description: In this fileset we provide our processed forms of the LINCS L1000 data. Starting with signature-level expression data from the L1000 project, we employ our pipeline (link below) to condense this information to consensus drug-level expression signatures. For a detailed overview of our approach, see the appended thinklab discussion link. In brief, our approach has 3 steps. (1) Pool set of LINCS gold signatures corresponding to drug of interest. (2) Compute weights for each signature, based on their mean Spearman correlation values with all other signatures. (3) Combine Z-scores across all signatures using Stouffer's method to create a consensus signature. These drug-level consensus signatures are provided in two drug vocabularies: LINCS perturbagens and DrugBank compounds. Rows are drugs, and columns are genes (Entrez Gene IDs). The values in both files are Z-scores, as per the LINCS L1000 standard.
DOI: 10.6084/m9.figshare.1476780.v1
title: GREAM-Files

description: The file set includes genome-wide statistics of the repeat element distribution, Homologene database and perl scripts for analysis
DOI: 10.6084/m9.figshare.1476831.v3
title: Workflows and Flowcharts for report "RDM workflows and integrations for HEIs using hosted services"

description: Diagrams and flowcharts used in the report "RDM workflows and integrations for HEIs using hosted services" Matthew Addis. DOI: dx.doi.org/10.6084/m9.figshare.1476832 The upload and download process for extended EPrints/Arkivum integration (mockups) are by Tim Miles-Board at the University of London Computing Centre (ULCC). The other diagrams/flowcharts are by Matthew addis, Arkivum.
DOI: 10.6084/m9.figshare.1476267
title: Financial Sustainability of UK Learned Societies - Analysis of 30 societies

description: This is the first of two datasets on the financial sustainability of learned societies, associated with the following publications: Research Information Network (2015), <em>Monitoring the Transition to Open Access: </em><em>A report for the Universities UK Open Access Co-ordination Group, </em>available at: http://www.researchinfonet.org/wp-content/uploads/2015/09/Full-report-FINAL-AS-PUBLISHED.pdf Johnson, R. and Fosci, M. (2015) "On shifting sands: assessing the financial sustainability of UK learned societies"<em>, Learned Publishing, </em>Volume 28, Number 4, October 2015, pp. 274-282 (9) DOI: http://dx.doi.org/10.1087/20150406
DOI: 10.6084/m9.figshare.1476411
title: Hedge scope detection corpus

description: corpus for hedge scope detection
DOI: 10.6084/m9.figshare.1476411.v1
title: Hedge scope detection corpus

description: corpus for hedge scope detection
DOI: 10.6084/m9.figshare.1476831.v5
title: Workflows and Flowcharts for report "RDM workflows and integrations for HEIs using hosted services"

description: Diagrams and flowcharts used in the report "RDM workflows and integrations for HEIs using hosted services" Matthew Addis. DOI: dx.doi.org/10.6084/m9.figshare.1476832 The upload and download process for extended EPrints/Arkivum integration (mockups) are by Tim Miles-Board at the University of London Computing Centre (ULCC). The other diagrams/flowcharts are by Matthew addis, Arkivum.
DOI: 10.6084/m9.figshare.1476266
title: Financial Sustainability of UK Learned Societies - List of UK Learned Societies

description: Full list of UK learned societies which publish peer-reviewed journals and conference proceedings, as at May 2015. This is the second of two datasets on the financial sustainability of learned societies, associated with the following publications: Research Information Network (2015), Monitoring the Transition to Open Access: A report for the Universities UK Open Access Co-ordination Group, available at: http://www.researchinfonet.org/wp-content/uploads/2015/09/Full-report-FINAL-AS-PUBLISHED.pdf Johnson, R. and Fosci, M. (2015) "On shifting sands: assessing the financial sustainability of UK learned societies", <em>Learned Publishing</em>, Volume 28, Number 4, October 2015, pp. 274-282 (9) DOI: http://dx.doi.org/10.1087/20150406
DOI: 10.6084/m9.figshare.1476831.v4
title: Workflows and Flowcharts for report "RDM workflows and integrations for HEIs using hosted services"

description: Diagrams and flowcharts used in the report "RDM workflows and integrations for HEIs using hosted services" Matthew Addis. DOI: dx.doi.org/10.6084/m9.figshare.1476832 The upload and download process for extended EPrints/Arkivum integration (mockups) are by Tim Miles-Board at the University of London Computing Centre (ULCC). The other diagrams/flowcharts are by Matthew addis, Arkivum.
DOI: 10.6084/m9.figshare.1476293.v1
title: L1000 Drug-level Consensus Expression Profiles

description: In this fileset we provide our processed forms of the LINCS L1000 data. Starting with signature-level expression data from the L1000 project, we employ our pipeline (https://github.com/LABrueggs/L1000/blob/78855427cbf62b92640f1e48f8ec08bd9ee9ff18/python_notebooks/GCT_pipeline.ipynb) to condense this information to consensus drug-level signatures. These drug-level consensus signatures are provided in two drug vocabularies: LINCS perturbagens and DrugBank compounds.
DOI: 10.6084/m9.figshare.1476259
title: Development of an open source tool for simulating cell-based models of epithelial tissues - progress and challenges

description: Short talk given at the NIMBios Investigative Workshop on Many-Cell System Modeling (7-9 July 2015) Workshop URL: http://www.nimbios.org/workshops/WS_manycell
DOI: 10.6084/m9.figshare.1476262
title: Cognitive fatigue and economic decision making

description: Data that accompanies: Mullette-Gillman OA, Leong R, and Kurnianingsih YA. Cognitive fatigue destabilizes economic decision making preferences and strategies (2015) PLos One
DOI: 10.6084/m9.figshare.1476259.v1
title: Development of an open source tool for simulating cell-based models of epithelial tissues - progress and challenges

description: Short talk given at the NIMBios Investigative Workshop on Many-Cell System Modeling (7-9 July 2015) Workshop URL: http://www.nimbios.org/workshops/WS_manycell
DOI: 10.6084/m9.figshare.1476262.v1
title: Cognitive fatigue and economic decision making

description: Data that accompanies: Mullette-Gillman OA, Leong R, and Kurnianingsih YA. Cognitive fatigue destabilizes economic decision making preferences and strategies (2015) PLos One
DOI: 10.6084/m9.figshare.1476253
title: Global analysis of biogenesis, stability and sub-cellular localization of lncRNAs mapping to intragenic regions of the human genome

description: Long noncoding RNAs (lncRNAs) that map to intragenic regions of the human genome with the same (intronic lncRNAs) or opposite orientation (antisense lncRNAs) relative to protein-coding mRNAs have been largely dismissed from biochemical and functional characterization due to the belief that they are mRNA precursors, byproducts of RNA splicing or simply transcriptional noise. In this work, we used a custom microarray to investigate aspects of the biogenesis, processing, stability, evolutionary conservation, and cellular localization of ∼6,000 intronic lncRNAs and ∼10,000 antisense lncRNAs. Most intronic (2,903 of 3,427, 85%) and antisense lncRNAs (4,945 of 5,214, 95%) expressed in HeLa cells showed evidence of 5′ cap modification, compatible with their transcription by RNAP II. Antisense lncRNAs (median t<sub>1/2</sub> = 3.9 h) were significantly (<i>p</i> &lt; 0.0001) more stable than mRNAs (median t<sub>1/2</sub> = 3.2 h), whereas intronic lncRNAs (median t<sub>1/2</sub> = 2.1 h) comprised a more heterogeneous class that included both stable (t<sub>1/2</sub> &gt; 3 h) and unstable (t<sub>1/2</sub> &lt; 1 h) transcripts. Intragenic lncRNAs display evidence of evolutionary conservation, have little/no coding potential and were ubiquitously detected in the cytoplasm. Notably, a fraction of the intronic and antisense lncRNAs (13 and 15%, respectively) were expressed from loci at which the corresponding host mRNA was not detected. The abundances of a subset of intronic/antisense lncRNAs were correlated (r ≥ |0.8|) with those of genes encoding proteins involved in cell division and DNA replication. Taken together, the findings of this study contribute novel biochemical and genomic information regarding intronic and antisense lncRNAs, supporting the notion that these classes include independently transcribed RNAs with potentials for exerting regulatory functions in the cell.
DOI: 10.6084/m9.figshare.1476252
title: "Evidence for multiple rhythmic skills" dataset

description: Rhythms, or patterns in time, play a vital role in both speech and music. Proficiency in a number of rhythm skills has been linked to language ability, suggesting that certain rhythmic processes in music and language rely on overlapping resources. However, a lack of understanding about how rhythm skills relate to each other has impeded progress in understanding how language relies on rhythm processing. In particular, it is unknown whether all rhythm skills are linked together, forming a single broad rhythmic competence, or whether there are multiple dissociable rhythm skills. We hypothesized that synchronization and rhythm memory/sequencing form two separate clusters of rhythm skills. This hypothesis was tested with a battery of two synchronization and two rhythm memory tests. Here we show that synchronization to a metronome and the ability to adjust to a changing tempo during synchronization are related skills. The ability to remember rhythms and to drum along to repeating rhythmic sequences are also related. However, we found no relationship between synchronization skills and rhythm memory skills. Thus, synchronization and rhythm memory are dissociable rhythmic aptitudes. This discovery may inform future research disambiguating how distinct rhythm competencies track with specific language functions.
DOI: 10.6084/m9.figshare.1476253.v1
title: Global analysis of biogenesis, stability and sub-cellular localization of lncRNAs mapping to intragenic regions of the human genome

description: ABSTRACTLong noncoding RNAs (lncRNAs) that map to intragenic regions of the human genome with the same (intronic lncRNAs) or opposite orientation (antisense lncRNAs) relative to protein-coding mRNAs have been largely dismissed from biochemical and functional characterization due to the belief that they are mRNA precursors, byproducts of RNA splicing or simply transcriptional noise. In this work, we used a custom microarray to investigate aspects of the biogenesis, processing, stability, evolutionary conservation, and cellular localization of ˜6,000 intronic lncRNAs and ˜10,000 antisense lncRNAs. Most intronic (2,903 of 3,427, 85%) and antisense lncRNAs (4,945 of 5,214, 95%) expressed in HeLa cells showed evidence of 5′ cap modification, compatible with their transcription by RNAP II. Antisense lncRNAs (median t<sub>1/2</sub> = 3.9 h) were significantly (<i>p</i> &lt; 0.0001) more stable than mRNAs (median t<sub>1/2</sub> = 3.2 h), whereas intronic lncRNAs (median t<sub>1/2</sub> = 2.1 h) comprised a more heterogeneous class that included both stable (t<sub>1/2</sub> &gt; 3 h) and unstable (t<sub>1/2</sub> &lt; 1 h) transcripts. Intragenic lncRNAs display evidence of evolutionary conservation, have little/no coding potential and were ubiquitously detected in the cytoplasm. Notably, a fraction of the intronic and antisense lncRNAs (13 and 15%, respectively) were expressed from loci at which the corresponding host mRNA was not detected. The abundances of a subset of intronic/antisense lncRNAs were correlated (r ≥ |0.8|) with those of genes encoding proteins involved in cell division and DNA replication. Taken together, the findings of this study contribute novel biochemical and genomic information regarding intronic and antisense lncRNAs, supporting the notion that these classes include independently transcribed RNAs with potentials for exerting regulatory functions in the cell.
DOI: 10.6084/m9.figshare.1476248
title: Temperature dependence of NDR effect

description: Temperature dependence of NDR effect, this is a trial run looking at meeting the open data requirements. The current data set is an IGOR file with the graph of pannel 5 b.
DOI: 10.6084/m9.figshare.1476253.v2
title: Global analysis of biogenesis, stability and sub-cellular localization of lncRNAs mapping to intragenic regions of the human genome

description: Long noncoding RNAs (lncRNAs) that map to intragenic regions of the human genome with the same (intronic lncRNAs) or opposite orientation (antisense lncRNAs) relative to protein-coding mRNAs have been largely dismissed from biochemical and functional characterization due to the belief that they are mRNA precursors, byproducts of RNA splicing or simply transcriptional noise. In this work, we used a custom microarray to investigate aspects of the biogenesis, processing, stability, evolutionary conservation, and cellular localization of ∼6,000 intronic lncRNAs and ∼10,000 antisense lncRNAs. Most intronic (2,903 of 3,427, 85%) and antisense lncRNAs (4,945 of 5,214, 95%) expressed in HeLa cells showed evidence of 5′ cap modification, compatible with their transcription by RNAP II. Antisense lncRNAs (median t<sub>1/2</sub> = 3.9 h) were significantly (<i>p</i> &lt; 0.0001) more stable than mRNAs (median t<sub>1/2</sub> = 3.2 h), whereas intronic lncRNAs (median t<sub>1/2</sub> = 2.1 h) comprised a more heterogeneous class that included both stable (t<sub>1/2</sub> &gt; 3 h) and unstable (t<sub>1/2</sub> &lt; 1 h) transcripts. Intragenic lncRNAs display evidence of evolutionary conservation, have little/no coding potential and were ubiquitously detected in the cytoplasm. Notably, a fraction of the intronic and antisense lncRNAs (13 and 15%, respectively) were expressed from loci at which the corresponding host mRNA was not detected. The abundances of a subset of intronic/antisense lncRNAs were correlated (r ≥ |0.8|) with those of genes encoding proteins involved in cell division and DNA replication. Taken together, the findings of this study contribute novel biochemical and genomic information regarding intronic and antisense lncRNAs, supporting the notion that these classes include independently transcribed RNAs with potentials for exerting regulatory functions in the cell.
DOI: 10.6084/m9.figshare.1476248.v2
title: Temperature dependence of NDR effect

description: Temperature dependence of NDR effect, this is a trial run looking at meeting the open data requirements. The current data set is an IGOR file with the graph of pannel 5 b.
DOI: 10.6084/m9.figshare.1476253.v4
title: Global analysis of biogenesis, stability and sub-cellular localization of lncRNAs mapping to intragenic regions of the human genome

description: Long noncoding RNAs (lncRNAs) that map to intragenic regions of the human genome with the same (intronic lncRNAs) or opposite orientation (antisense lncRNAs) relative to protein-coding mRNAs have been largely dismissed from biochemical and functional characterization due to the belief that they are mRNA precursors, byproducts of RNA splicing or simply transcriptional noise. In this work, we used a custom microarray to investigate aspects of the biogenesis, processing, stability, evolutionary conservation, and cellular localization of ∼6,000 intronic lncRNAs and ∼10,000 antisense lncRNAs. Most intronic (2,903 of 3,427, 85%) and antisense lncRNAs (4,945 of 5,214, 95%) expressed in HeLa cells showed evidence of 5′ cap modification, compatible with their transcription by RNAP II. Antisense lncRNAs (median t<sub>1/2</sub> = 3.9 h) were significantly (<i>p</i> &lt; 0.0001) more stable than mRNAs (median t<sub>1/2</sub> = 3.2 h), whereas intronic lncRNAs (median t<sub>1/2</sub> = 2.1 h) comprised a more heterogeneous class that included both stable (t<sub>1/2</sub> &gt; 3 h) and unstable (t<sub>1/2</sub> &lt; 1 h) transcripts. Intragenic lncRNAs display evidence of evolutionary conservation, have little/no coding potential and were ubiquitously detected in the cytoplasm. Notably, a fraction of the intronic and antisense lncRNAs (13 and 15%, respectively) were expressed from loci at which the corresponding host mRNA was not detected. The abundances of a subset of intronic/antisense lncRNAs were correlated (r ≥ |0.8|) with those of genes encoding proteins involved in cell division and DNA replication. Taken together, the findings of this study contribute novel biochemical and genomic information regarding intronic and antisense lncRNAs, supporting the notion that these classes include independently transcribed RNAs with potentials for exerting regulatory functions in the cell.