cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1289791.v15
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289791.v17
title: Nerwip Corpus

description: This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 408 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289717
title: Nanopore reads and alignments

description: File R7-3_pgx_metrichor2-23_1D.fastq: 1D template reads from MinION device File R7-3_pgx_metrichor2-23_1D_complement.fastq: 1D complement reads from MinION device File R7-3_pgx_metrichor2-23_2D.fastq: 2D consensus reads from MinION device File R7-3_pgx_metrichor2-23_only_2D_best_hg19.sort.bam (and .bai index):<br>Single best BLASR alignments of 2D reads File R7-3_pgx_metrichor2-23_only_2D_hg19.sort.bam (and .bai index):<br>Up to top 10 BLASR alignments of 2D reads
DOI: 10.6084/m9.figshare.1289791.v16
title: Nerwip Corpus

description: This corpus contains 409 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data. It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 409 articles (v4). The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Applied to Biographical Texts, S. Atdag & V. Labatut, 2013. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6632052&tag=1 The other files are NER tools-related data (models, dictionaries, etc.), needed by Nerwip to detect entities. If you want to use the tool, you need to unzip these files as explained in the README file associated to Nerwip on GitHub.
DOI: 10.6084/m9.figshare.1289715
title: Compositae COS sampling strategy - 200 genera

description: This is a spreadsheet indicating the 200 genus sampling strategy proposed for the Compositae COS project.
DOI: 10.6084/m9.figshare.1289717.v1
title: Nanopore reads and alignments

description: File R7-3_pgx_metrichor2-23_1D.fastq: 1D template reads from MinION device File R7-3_pgx_metrichor2-23_1D_complement.fastq: 1D complement reads from MinION device File R7-3_pgx_metrichor2-23_2D.fastq: 2D consensus reads from MinION device File R7-3_pgx_metrichor2-23_only_2D_best_hg19.sort.bam (and .bai index):<br>Single best BLASR alignments of 2D reads File R7-3_pgx_metrichor2-23_only_2D_hg19.sort.bam (and .bai index):<br>Up to top 10 BLASR alignments of 2D reads
DOI: 10.6084/m9.figshare.1289713
title: Galatanet - Description of the dataset

description: Textual description of the project and data.
DOI: 10.6084/m9.figshare.1289711
title: Galatanet 2 Dataset XLSX

description: Dataset of the second survey (GN2), as a table. The fields are described in the champs-fields.xlsx file. The data is the same than in gn2-table.csv, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289712
title: Galatanet - License

description: License for the Galatanet data.
DOI: 10.6084/m9.figshare.1289713.v2
title: Galatanet - Description of the dataset

description: Textual description of the project and data.
DOI: 10.6084/m9.figshare.1289715.v2
title: Compositae COS sampling strategy - 200 genera

description: This is a spreadsheet indicating the 200 genus sampling strategy proposed for the Compositae COS project.
DOI: 10.6084/m9.figshare.1289715.v1
title: Compositae COS sampling strategy - 200 genera

description: This is a spreadsheet indicating the 200 genus sampling strategy proposed for the Compositae COS project.
DOI: 10.6084/m9.figshare.1289711.v1
title: Galatanet 2 Dataset XLSX

description: Dataset of the second survey (GN2), as a table. The fields are described in the champs-fields.xlsx file. The data is the same than in gn2-table.csv, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289712.v2
title: Galatanet - License

description: License for the Galatanet data.
DOI: 10.6084/m9.figshare.1289713.v1
title: Description

description: Textual description of the project and data.
DOI: 10.6084/m9.figshare.1289709
title: Galatanet 2 Network Pajek

description: Social network extracted from the GN2 dataset, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn2.graphml)
DOI: 10.6084/m9.figshare.1289710
title: Galatanet 2 Dataset CSV

description: Dataset of the second survey (GN2), as a table. The fields are described in the champs-fields.csv.zip file. The data is the same than in gn2-table.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289708
title: Galatanet 2 Network Graphml

description: Social network extracted from the GN2 dataset, at the Graphml format. A few nodal attributes are included in this file, unlike the Pajek version of the same network (gn2.net)
DOI: 10.6084/m9.figshare.1289712.v1
title: License for the Galatanet data

description: License for the Galatanet data.
DOI: 10.6084/m9.figshare.1289706
title: Galatanet 1 Dataset CSV

description: Dataset of the first survey (GN1), as a table. The fields are described in the champs-fields.csv.zip file. The data is the same than in gn1-table.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289707
title: Galatanet 1 Dataset XLSX

description: Dataset of the first survey (GN1), as a table. The fields are described in the champs-fields.xlsx file. The data is the same than in gn1-table.csv, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289709.v1
title: Galatanet 2 Network Pajek

description: Social network extracted from the GN2 dataset, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn2.graphml)
DOI: 10.6084/m9.figshare.1289710.v1
title: Galatanet 2 Dataset CSV

description: Dataset of the second survey (GN2), as a table. The fields are described in the champs-fields.csv.zip file. The data is the same than in gn2-table.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289704
title: Galatanet 1 & 2 Network Graphml

description: Social network extracted from both GN1 and GN2 datasets, at the Graphml format. A few nodal attributes are included in this file, unlike the Pajek version of the same network (gn1-2.net)
DOI: 10.6084/m9.figshare.1289705
title: Galatanet 1 & 2 Network Pajek

description: Social network extracted from both GN1 and GN2 datasets, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn1.graphml)
DOI: 10.6084/m9.figshare.1289704.v1
title: Galatanet 1 & 2 Network Graphml

description: Social network extracted from both GN1 and GN2 datasets, at the Graphml format. A few nodal attributes are included in this file, unlike the Pajek version of the same network (gn1-2.net)
DOI: 10.6084/m9.figshare.1289707.v1
title: Galatanet 1 Dataset XLSX

description: Dataset of the first survey (GN1), as a table. The fields are described in the champs-fields.xlsx file. The data is the same than in gn1-table.csv, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289702
title: Galatanet 1 Network Graphml

description: Social network extracted from the GN1 dataset, at the Graphml format. A few nodal attributes are included in this file, unlike the Pajek version of the same network (gn1.net)
DOI: 10.6084/m9.figshare.1289705.v1
title: Galatanet 1 & 2 Network Pajek

description: Social network extracted from both GN1 and GN2 datasets, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn1.graphml)
DOI: 10.6084/m9.figshare.1289703
title: Galatanet 1 Network Pajek

description: Social network extracted from the GN1 dataset, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn1.graphml)
DOI: 10.6084/m9.figshare.1289706.v1
title: Galatanet 2 Dataset CSV

description: Dataset of the second survey (GN2), as a table. The fields are described in the champs-fields.csv.zip file. The data is the same than in gn2-table.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289708.v1
title: Galatanet 2 Network Pajek

description: Social network extracted from the GN2 dataset, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn2.graphml)
DOI: 10.6084/m9.figshare.1289700
title: procedural textures

description: procedural textures, similarity matrix and rating matrix from psychophysical experiments
DOI: 10.6084/m9.figshare.1289701
title: Galatanet - Fields Description CSV

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289703.v1
title: Galatanet 1 Network Pajek

description: Social network extracted from the GN1 dataset, at the Pajek .net format. No nodal attribute is included in this file, unlike the Graphml version of the same network (gn1.graphml)
DOI: 10.6084/m9.figshare.1289701.v2
title: Galatanet - Fields Description CSV

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289701.v1
title: Fields Description CSV

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.xlsx, but at the CSV format (comma-separated values).
DOI: 10.6084/m9.figshare.1289446
title: Effect of landscape pattern on insect species density within urban green spaces in Beijing, China

description: This is the metadata of our study on the relationship between landscape pattern and insect species density within urban green spaces in Beijing, China. The relevant article will be published in PLoS ONE.
DOI: 10.6084/m9.figshare.1289418
title: Rationale behind a reconceptualization of significance testing

description: Comments on Perezgonzalez's article (2014, doi:10.1177/0959354314546157).
DOI: 10.6084/m9.figshare.1289418.v1
title: Rationale behind a reconceptualization of significance testing

description: Comments on Perezgonzalez's article (2014, doi:10.1177/0959354314546157).
DOI: 10.6084/m9.figshare.1289415
title: Tenthredo tenuipennis Malaise, 1931, ♀ from Korea

description: <i><b>Tenthredo tenuipennis</b></i> Malaise, 1931, ♀ from Korea<br><br><br>A. Taeger, M. Wei, A. Shinohara (2016) Sibling species in Tenthredo Linné (Hymenoptera: Tenthredinidae): the status of some East Asian taxa.<br>EUROASIAN ENTOMOLOGICAL JOURNAL 15(Suppl. 1): 156-164.<br>
DOI: 10.6084/m9.figshare.1289415.v1
title: Tenthredo tenuipennis Malaise, 1931, ♀ from Korea

description: <i><b>Tenthredo tenuipennis</b></i> Malaise, 1931, ♀ from Korea<br><br><br>A. Taeger, M. Wei, A. Shinohara (2016) Sibling species in Tenthredo Linné (Hymenoptera: Tenthredinidae): the status of some East Asian taxa.<br>EUROASIAN ENTOMOLOGICAL JOURNAL 15(Suppl. 1): 156-164.<br>
DOI: 10.6084/m9.figshare.1289404
title: ESAT-6 targeting to DEC205+ Antigen Presenting Cells induces specific-T cell responses against ESAT-6 and reduces pulmonary infection with virulent Mycobacterium tuberculosis

description: Supporting information for the maunscript (submitted to PlOS ONE) "ESAT-6 targeting to DEC205+ Antigen Presenting Cells induces specific-T cell responses against ESAT-6 and reduces pulmonary infection with virulent Mycobacterium tuberculosis" By Silva-Sánchez Aaron* ●, Meza-Pérez Selene* ●, Flores-Langarica Adriana++, Donis-Maturano Luis*, Estrada-García Iris●, Calderón-Amador Juana*, Hernández-Pando Rogelio+, Idoyaga Juliana++, Steinman Ralph M ++ and Flores-Romo Leopoldo*#.
DOI: 10.6084/m9.figshare.1289358
title: Galatanet - Fields Description XLSX

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.csv.zip, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289404.v2
title: ESAT-6 targeting to DEC205+ Antigen Presenting Cells induces specific-T cell responses against ESAT-6 and reduces pulmonary infection with virulent Mycobacterium tuberculosis

description: Supporting information for the maunscript (submitted to PlOS ONE) "ESAT-6 targeting to DEC205+ Antigen Presenting Cells induces specific-T cell responses against ESAT-6 and reduces pulmonary infection with virulent Mycobacterium tuberculosis" By Silva-Sánchez Aaron* ●, Meza-Pérez Selene* ●, Flores-Langarica Adriana++, Donis-Maturano Luis*, Estrada-García Iris●, Calderón-Amador Juana*, Hernández-Pando Rogelio+, Idoyaga Juliana++, Steinman Ralph M ++ and Flores-Romo Leopoldo*#.
DOI: 10.6084/m9.figshare.1289404.v1
title: PONE-D-14-32124R1

description: Supporting information for the maunscript (submitted to PlOS ONE) "ESAT-6 targeting to DEC205+ Antigen Presenting Cells induces specific-T cell responses against ESAT-6 and reduces pulmonary infection with virulent Mycobacterium tuberculosis" By Silva-Sánchez Aaron* ●, Meza-Pérez Selene* ●, Flores-Langarica Adriana++, Donis-Maturano Luis*, Estrada-García Iris●, Calderón-Amador Juana*, Hernández-Pando Rogelio+, Idoyaga Juliana++, Steinman Ralph M ++ and Flores-Romo Leopoldo*#.
DOI: 10.6084/m9.figshare.1289355
title: Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation

description: Aberrant DNA methylation in the blood of patients with major depressive disorder (MDD) has been reported in several previous studies. However, no comprehensive studies using medication-free subjects with MDD have been conducted. Furthermore, the majority of these previous studies has been limited to the analysis of the CpG sites in CpG islands (CGIs) in the gene promoter regions. The main aim of the present study is to identify DNA methylation markers that distinguish patients with MDD from non-psychiatric controls. Genome-wide DNA methylation profiling of peripheral leukocytes was conducted in two set of samples, a discovery set (20 medication-free patients with MDD and 19 controls) and a replication set (12 medication-free patients with MDD and 12 controls), using Infinium HumanMethylation450 BeadChips. Significant diagnostic differences in DNA methylation were observed at 363 CpG sites in the discovery set. All of these loci demonstrated lower DNA methylation in patients with MDD than in the controls, and most of them (85.7%) were located in the CGIs in the gene promoter regions. We were able to distinguish patients with MDD from the control subjects with high accuracy in the discriminant analysis using the top DNA methylation markers. We also validated these selected DNA methylation markers in the replication set. Our results indicate that multiplex DNA methylation markers may be useful for distinguishing patients with MDD from non-psychiatric controls.
DOI: 10.6084/m9.figshare.1289358.v2
title: Fields Description

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.csv.zip, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289358.v4
title: Galatanet - Fields Description XLSX

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.csv.zip, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289358.v3
title: Fields Description XLSX

description: Description of the fields constituting both GN1 and GN2 tables. Same file than champs-fields.csv.zip, but at the MS Excel format.
DOI: 10.6084/m9.figshare.1289355.v1
title: Blood Diagnostic Biomarkers for Major Depressive Disorder using Multiplex DNA Methylation Profiles: Discovery and Validation

description: ABSTRACTAberrant DNA methylation in the blood of patients with major depressive disorder (MDD) has been reported in several previous studies. However, no comprehensive studies using medication-free subjects with MDD have been conducted. Furthermore, the majority of these previous studies has been limited to the analysis of the CpG sites in CpG islands (CGIs) in the gene promoter regions. The main aim of the present study is to identify DNA methylation markers that distinguish patients with MDD from non-psychiatric controls. Genome-wide DNA methylation profiling of peripheral leukocytes was conducted in two set of samples, a discovery set (20 medication-free patients with MDD and 19 controls) and a replication set (12 medication-free patients with MDD and 12 controls), using Infinium HumanMethylation450 BeadChips. Significant diagnostic differences in DNA methylation were observed at 363 CpG sites in the discovery set. All of these loci demonstrated lower DNA methylation in patients with MDD than in the controls, and most of them (85.7%) were located in the CGIs in the gene promoter regions. We were able to distinguish patients with MDD from the control subjects with high accuracy in the discriminant analysis using the top DNA methylation markers. We also validated these selected DNA methylation markers in the replication set. Our results indicate that multiplex DNA methylation markers may be useful for distinguishing patients with MDD from non-psychiatric controls.
DOI: 10.6084/m9.figshare.1289352
title: Combined biofouling and scaling in membrane feed channels: a new modeling approach

description: A mathematical model was developed for combined fouling due to biofilms and mineral precipitates in membrane feed channels with spacers. Finite element simulation of flow and solute transport in two-dimensional geometries was coupled with a particle-based approach for the development of a composite (cells and crystals) foulant layer. Three fouling scenarios were compared: biofouling only, scaling only and combined fouling. Combined fouling causes a quicker flux decline than the summed flux deterioration when scaling and biofouling act independently. The model results indicate that the presence of biofilms leads to more mineral formation due to: (1) an enhanced degree of saturation for salts next to the membrane and within the biofilm; and (2) more available surface for nucleation to occur. The impact of biofilm in accelerating gypsum precipitation depends on the composition of the feed water (eg the presence of NaCl) and the kinetics of crystal nucleation and growth. Interactions between flow, solute transport and biofilm-induced mineralization are discussed.
DOI: 10.6084/m9.figshare.1289355.v2
title: Blood diagnostic biomarkers for major depressive disorder using multiplex DNA methylation profiles: discovery and validation

description: Aberrant DNA methylation in the blood of patients with major depressive disorder (MDD) has been reported in several previous studies. However, no comprehensive studies using medication-free subjects with MDD have been conducted. Furthermore, the majority of these previous studies has been limited to the analysis of the CpG sites in CpG islands (CGIs) in the gene promoter regions. The main aim of the present study is to identify DNA methylation markers that distinguish patients with MDD from non-psychiatric controls. Genome-wide DNA methylation profiling of peripheral leukocytes was conducted in two set of samples, a discovery set (20 medication-free patients with MDD and 19 controls) and a replication set (12 medication-free patients with MDD and 12 controls), using Infinium HumanMethylation450 BeadChips. Significant diagnostic differences in DNA methylation were observed at 363 CpG sites in the discovery set. All of these loci demonstrated lower DNA methylation in patients with MDD than in the controls, and most of them (85.7%) were located in the CGIs in the gene promoter regions. We were able to distinguish patients with MDD from the control subjects with high accuracy in the discriminant analysis using the top DNA methylation markers. We also validated these selected DNA methylation markers in the replication set. Our results indicate that multiplex DNA methylation markers may be useful for distinguishing patients with MDD from non-psychiatric controls.
DOI: 10.6084/m9.figshare.1289352.v2
title: Combined biofouling and scaling in membrane feed channels: a new modeling approach

description: A mathematical model was developed for combined fouling due to biofilms and mineral precipitates in membrane feed channels with spacers. Finite element simulation of flow and solute transport in two-dimensional geometries was coupled with a particle-based approach for the development of a composite (cells and crystals) foulant layer. Three fouling scenarios were compared: biofouling only, scaling only and combined fouling. Combined fouling causes a quicker flux decline than the summed flux deterioration when scaling and biofouling act independently. The model results indicate that the presence of biofilms leads to more mineral formation due to: (1) an enhanced degree of saturation for salts next to the membrane and within the biofilm; and (2) more available surface for nucleation to occur. The impact of biofilm in accelerating gypsum precipitation depends on the composition of the feed water (eg the presence of NaCl) and the kinetics of crystal nucleation and growth. Interactions between flow, solute transport and biofilm-induced mineralization are discussed.
DOI: 10.6084/m9.figshare.1289350
title: Gaussian Job Archive for C14H14N2OS

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