cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1575700.v1
title: Reconstruction of full high-resolution HSQC using signal split in aliased spectra

description: Resolution enhancement is a long-sought goal in NMR spectroscopy. In conventional multidimensional NMR experiments, such as the <sup>1</sup>H-<sup>13</sup>C HSQC, the resolution in the indirect dimensions is typically 10 to 100 times lower as in 1D spectra because it is limited by the experimental time. Reducing the spectral window can significantly increase the resolution, but at the cost of ambiguities in frequencies as a result of spectral aliasing. Fortunately, this information is not completely lost, and can be retrieved using methods in which chemical shifts are encoded in the aliased spectra and decoded after processing to reconstruct high-resolution <sup>1</sup>H-<sup>13</sup>C HSQC spectrum with full spectral width and a resolution similar to that of 1D spectra. We applied a new reconstruction method called RHUMBA to spectra obtained using the DENA-HSQC and the new AMNA-HSQC experiments. The reconstructed spectra significantly facilitates both manual and automated spectral analysis and structure elucidation based on heteronuclear 2D experiments. The resolution is enhancement by two orders of magnitudes without the usual complications due to spectral aliasing.
DOI: 10.6084/m9.figshare.1575663
title: Genome-wide analysis of microsatellite markers based on sequenced database in Chinese SpringWheat (Triticum aestivum L. )

description: primers were developed from chinese spring wheat
DOI: 10.6084/m9.figshare.1575687
title: Dataset of 'An indicator of journal impact that is based on calculating a journal's percentage of highly cited publications' by Sara M. González-Betancor and Pablo Dorta González (2015), arXiv:1510

description: Supplementary material 1: Database with the values of the impact indicators
DOI: 10.6084/m9.figshare.1575663.v1
title: Genome-wide analysis of microsatellite markers based on sequenced database in Chinese SpringWheat (Triticum aestivum L. )

description: primers were developed from chinese spring wheat
DOI: 10.6084/m9.figshare.1575662
title: Genome-wide analysis of microsatellite markers based on sequenced database in Chinese SpringWheat ( Tr.aestivum. L )

description: SSR characters from chinese spring wheat
DOI: 10.6084/m9.figshare.1574438
title: Comparing algorithms to genotype short tandem repeats in next-generation sequencing data

description: Short tandem repeats (STRs) are short (2-6bp) DNA sequences repeated in tandem, which make up approximately 3% of the human genome. These loci are prone to frequent mutations and high polymorphism. Dozens of neurological and developmental disorders have been attributed to STR expansions. STRs have also been implicated in a range of functions such as DNA replication and repair, chromatin organisation and regulation of gene expression. Traditionally, STR variation has been measured using capillary gel electrophoresis. This process is time-consuming and expensive, and so has tended to limit STR analysis to a handful of loci. Next-generation sequencing has the potential to address these problems. However, determining STR lengths using next-generation sequencing data is difficult. For example, many callers are limited by sequencing read lengths and polymerase slippage during PCR amplification introduces stutter noise. Recently, a small number of software tools have been developed genotype STRs in next-generation sequencing data. We have performed a general comparison of the tools published to date, identifying their application domains, assumptions and limitations. We have assessed the performance of some of the most popular STR genotyping tools on human next-generation sequencing data. When comparing STR callers we have observed drastic differences in which STR loci are identified as variant. Surprisingly, even for variant loci reported in common between tools, there is markedly low concordance between the specific genotype calls. Finally, we draw together our findings to comment on the considerations when choosing and running an STR genotyping tool, with an emphasis on applications to human disease.
DOI: 10.6084/m9.figshare.1575687.v3
title: Dataset of

description: Supplementary material 1: Database with the values of the impact indicators
DOI: 10.6084/m9.figshare.1574198
title: A case report of a large placental lake in a woman affected by complex cardiac disease

description: A case report of a large placental lake in a woman affected by complex cardiac disease
DOI: 10.6084/m9.figshare.1574198.v1
title: A case report of a large placental lake in a woman affected by complex cardiac disease

description: A case report of a large placental lake in a woman affected by complex cardiac disease
DOI: 10.6084/m9.figshare.1574189
title: Taxonomy and conservation of <i>Pancratium maritimum</i> (Amaryllidaceae) and relatives in the Central Mediterranean

description: <i>Pancratium maritimum</i> L. (<i>Amaryllidaceae</i>) is a geophyte occurring in the Mediterranean region, from the Black Sea to part of the Atlantic coast. This plant is receiving much attention from the international scientific community due to its value as a bioindicator, the potential industrial value of its chemical compounds, and its use as a commercial ornamental plant. Plant morphometry and sequences of three plastid DNA regions (<i>rbc</i>L, <i>mat</i>K, <i>trn</i>H-<i>psb</i>A) were used to assess the phenotypic and genetic variability of this taxon and its closest congeneric species (in particular <i>Pancratium linosae</i>, from the volcanic island of Linosa) in the Central Mediterranean (Sicily, Tunisia and surrounding islands). <i>Pancratium maritimum</i> and <i>P. linosae</i> cannot be distinguished based on morphological and genetic data and should belong to the same taxon. Our results also highlight a diversified gene pool in <i>P. maritimum</i> that is worth preserving. The lectotypes of the names <i>Halmira stellaris</i>, <i>Pancratium angustifolium</i> and <i>Pancratium foetidum</i> are here designated.
DOI: 10.6084/m9.figshare.1574190
title: The Open Accessibility and Remoteness Index for Australia

description: <strong>The Open Accessibility and Remoteness Index for Australia.</strong> The "Open Accessibility and Remoteness Index for Australia" is an open-data, national GIS accessibility index for Australia. Many researchers are familiar with the Australian Bureau of Statistics Remoteness Structure, which categorises places in Australia into five classes according to their remoteness. Often it would be more useful to have remoteness measured as a continuous variable, rather than a categorical one however. The ABS Remoteness Structure is based on <em>ARIA+</em>, a continuous remoteness index produced by the National Centre for Social Applications of GIS at the University of Adelaide. Unfortunately, ARIA+ is a commercial product which costs hundreds of dollars. The "Open accessibility and remoteness index for Australia" reimplements the ARIA+ methodology and makes the results freely available in the public domain. The major divergence from the ARIA+ methodology is that where ARIA+ uses network distance along highways to measure proximity, this project uses Euclidian distance. The Open Accessibility and Remoteness Index for Australia is available for 2001, 2006 and 2011 census geographies. Files available for download include 1-km raster data , population-weighted mean values for selected ABS census geographic units and a brief technical report. Please contact Francis Markham with any inquiries.
DOI: 10.6084/m9.figshare.1574189.v2
title: Taxonomy and conservation of <i>Pancratium maritimum</i> (Amaryllidaceae) and relatives in the Central Mediterranean

description: <i>Pancratium maritimum</i> L. (<i>Amaryllidaceae</i>) is a geophyte occurring in the Mediterranean region, from the Black Sea to part of the Atlantic coast. This plant is receiving much attention from the international scientific community due to its value as a bioindicator, the potential industrial value of its chemical compounds, and its use as a commercial ornamental plant. Plant morphometry and sequences of three plastid DNA regions (<i>rbc</i>L, <i>mat</i>K, <i>trn</i>H-<i>psb</i>A) were used to assess the phenotypic and genetic variability of this taxon and its closest congeneric species (in particular <i>Pancratium linosae</i>, from the volcanic island of Linosa) in the Central Mediterranean (Sicily, Tunisia and surrounding islands). <i>Pancratium maritimum</i> and <i>P. linosae</i> cannot be distinguished based on morphological and genetic data and should belong to the same taxon. Our results also highlight a diversified gene pool in <i>P. maritimum</i> that is worth preserving. The lectotypes of the names <i>Halmira stellaris</i>, <i>Pancratium angustifolium</i> and <i>Pancratium foetidum</i> are here designated.
DOI: 10.6084/m9.figshare.1574189.v1
title: Taxonomy and conservation of <i>Pancratium maritimum</i> (Amaryllidaceae) and relatives in the Central Mediterranean

description: <i>Pancratium maritimum</i> L. (<i>Amaryllidaceae</i>) is a geophyte occurring in the Mediterranean region, from the Black Sea to part of the Atlantic coast. This plant is receiving much attention from the international scientific community due to its value as a bioindicator, the potential industrial value of its chemical compounds, and its use as a commercial ornamental plant. Plant morphometry and sequences of three plastid DNA regions (<i>rbc</i>L, <i>mat</i>K, <i>trn</i>H-<i>psb</i>A) were used to assess the phenotypic and genetic variability of this taxon and its closest congeneric species (in particular <i>Pancratium linosae</i>, from the volcanic island of Linosa) in the Central Mediterranean (Sicily, Tunisia and surrounding islands). <i>Pancratium maritimum</i> and <i>P. linosae</i> cannot be distinguished based on morphological and genetic data and should belong to the same taxon. Our results also highlight a diversified gene pool in <i>P. maritimum</i> that is worth preserving. The lectotypes of the names <i>Halmira stellaris</i>, <i>Pancratium angustifolium</i> and <i>Pancratium foetidum</i> are here designated.
DOI: 10.6084/m9.figshare.1574190.v3
title: 2001, 2006 and 2011 raster data - The Open Accessibility and Remoteness Index for Australia

description: The 2001, 2006 and 2011 raster data for the Open Accessibility and Remoteness Index for Australia.
DOI: 10.6084/m9.figshare.11977392
title: VTKEL of 31k documents

description: Updated revised version of VTKEL dataset for the 30k+ documents after fixing some bugs.
DOI: 10.6084/m9.figshare.1574186
title: Meteorological information in 2011

description: Meterological information
DOI: 10.6084/m9.figshare.1574186.v1
title: Meteorological information in 2011

description: Meterological information
DOI: 10.6084/m9.figshare.1574190.v4
title: 2001, 2006 and 2011 raster data - The Open Accessibility and Remoteness Index for Australia

description: The 2001, 2006 and 2011 raster data for the Open Accessibility and Remoteness Index for Australia.
DOI: 10.6084/m9.figshare.1574185
title: Tallgrass and redcedar interception master dataset

description: Canopy interception data for eastern redcedar (juniper) and tallgrasses
DOI: 10.6084/m9.figshare.11977392.v3
title: VTKEL of 31k documents

description: Updated revised version of VTKEL dataset for the 30k+ documents after fixing some bugs.
DOI: 10.6084/m9.figshare.1574185.v1
title: Tallgrass and redcedar interception master dataset

description: Canopy interception data for eastern redcedar (juniper) and tallgrasses
DOI: 10.6084/m9.figshare.11977392.v2
title: VTKEL of 31k documents

description: Revised version of VTKEL dataset for the 30k+ documents after fixing some bugs.
DOI: 10.6084/m9.figshare.1574180
title: Attini_matrix_No_APIS.nex

description: Full matrix used for dating analyses in "<b>Phylogenomics And Divergence Dating Of Fungus-Growing Ants (Hymenoptera: Formicidae)</b> <b>Of The Genera <i>Sericomyrmex</i> And <i>Apterostigma"</i></b>
DOI: 10.6084/m9.figshare.1574190.v5
title: The Open Accessibility and Remoteness Index for Australia

description: <strong>The Open Accessibility and Remoteness Index for Australia.</strong> The "Open Accessibility and Remoteness Index for Australia" is an open-data, national GIS accessibility index for Australia. Many researchers are familiar with the Australian Bureau of Statistics Remoteness Structure, which categorises places in Australia into five classes according to their remoteness. Often it would be more useful to have remoteness measured as a continuous variable, rather than a categorical one however. The ABS Remoteness Structure is based on ARIA+, a continuous remoteness index produced by GISCA at the University of Adelaide. Unfortunately, ARIA+ is a commercial product which costs hundreds of dollars. The "Open accessibility and remoteness index for Australia" replicates the ARIA+ methodology and makes the results freely available in the public domain. The only divergence from the ARIA+ methodology is that where ARIA+ uses network distance along highways to measure proximity, this project uses Euclidian distance. The Open Accessibility and Remoteness Index for Australia is available for 2001, 2006 and 2011 census geographies. Files available for download include the 2001, 2006 and 2011 raster data and a brief technical report. Please contact Francis Markham with any inquiries.
DOI: 10.6084/m9.figshare.1574175
title: Abdi-et-al-2015

description: Article abstract and link coming soon.
DOI: 10.6084/m9.figshare.1574179
title: Attini_matrix.nex

description: Full matrix used for phylogenetic analyses in "<b>Phylogenomics And Divergence Dating Of Fungus-Growing Ants (Hymenoptera: Formicidae)</b> <b>Of The Genera <i>Sericomyrmex</i> And <i>Apterostigma"</i></b>
DOI: 10.6084/m9.figshare.1574175.v1
title: Abdi-et-al-2015

description: Article abstract and link coming soon.
DOI: 10.6084/m9.figshare.1574182
title: Phytosociological survey vegetation map of Sicily (Mediterranean region)

description: We present the results of a study aimed at developing a vegetation map of Sicily (Italy) including the smaller circum-Sicilian islands, for an area of approximately 25,703 km<sup>2</sup>. The work is a synthesis of studies carried out in accordance with the survey methodology of phytosociology in the last 40 years over the whole study area. <i>The vegetation map of Sicily</i> was compiled in a Geographical Information Systems (GIS) environment, in order to produce a cartographic representation at a scale of 1:10,000 (reduced to a scale of 1:250,000). The physiognomic-structural characteristics of the plant landscape of Sicily are analyzed, providing a general and, at the same time, detailed overview of the phytocoenotic aspects represented on the territory, as well as of the relative bibliographic references. At the reference scale, 36 types are represented, 16 of which are related to zonal vegetation (Mediterranean maquis, <i>Quercus ilex</i> woods, <i>Quercus suber</i> woods, <i>Castanea sativa</i> woods, <i>Quercus pubescens</i> deciduous woods, mesophilous deciduous woods, <i>Fagus sylvatica</i> woods, <i>Betula aetnensis</i> woods, woods dominated by woody gymnosperms, forest edge shrubs, orophilous pulvinate shrubs, shrublands and garrigues, <i>Ampelodesmos mauritanicus</i> grasslands, mesophilous and sub-hygrophilous grasslands and pastures), 11 are related to azonal vegetation (riparian, psammophilous herbaceous, chasmo-halophitic, etc.) and 9 are related to anthropogenic vegetation (arable lands and extensive herbaceous crops, vineyards, olive groves and dry cultivation mosaics, hazelnut groves, irrigated citrus groves and orchards, greenhouses, built-up areas).
DOI: 10.6084/m9.figshare.1574182.v2
title: Phytosociological survey vegetation map of Sicily (Mediterranean region)

description: We present the results of a study aimed at developing a vegetation map of Sicily (Italy) including the smaller circum-Sicilian islands, for an area of approximately 25,703 km<sup>2</sup>. The work is a synthesis of studies carried out in accordance with the survey methodology of phytosociology in the last 40 years over the whole study area. <i>The vegetation map of Sicily</i> was compiled in a Geographical Information Systems (GIS) environment, in order to produce a cartographic representation at a scale of 1:10,000 (reduced to a scale of 1:250,000). The physiognomic-structural characteristics of the plant landscape of Sicily are analyzed, providing a general and, at the same time, detailed overview of the phytocoenotic aspects represented on the territory, as well as of the relative bibliographic references. At the reference scale, 36 types are represented, 16 of which are related to zonal vegetation (Mediterranean maquis, <i>Quercus ilex</i> woods, <i>Quercus suber</i> woods, <i>Castanea sativa</i> woods, <i>Quercus pubescens</i> deciduous woods, mesophilous deciduous woods, <i>Fagus sylvatica</i> woods, <i>Betula aetnensis</i> woods, woods dominated by woody gymnosperms, forest edge shrubs, orophilous pulvinate shrubs, shrublands and garrigues, <i>Ampelodesmos mauritanicus</i> grasslands, mesophilous and sub-hygrophilous grasslands and pastures), 11 are related to azonal vegetation (riparian, psammophilous herbaceous, chasmo-halophitic, etc.) and 9 are related to anthropogenic vegetation (arable lands and extensive herbaceous crops, vineyards, olive groves and dry cultivation mosaics, hazelnut groves, irrigated citrus groves and orchards, greenhouses, built-up areas).
DOI: 10.6084/m9.figshare.1574162
title: Abdi-2013

description: The efficacy of integrating open access geospatial data to produce habitat suitability maps for the corn bunting (Miliaria calandra) was investigated. Landsat Enhanced Thematic Mapper Plus (ETM+), Shuttle Radar Topography Mission (SRTM) and Corine (Coordination of Information on the Environment) land cover data for the year 2000 (CLC2000) were processed to extract explanatory variables and divided into three sets; Satellite (ETM+, SRTM), CLC2000 and Combined (CLC2000 + Satellite). Presence-absence data for M. calandra, collected during structured surveys for the Catalan Breeding Bird Atlas, were provided by the Catalan Ornithological Institute. The dataset was partitioned into an equal number of presence and absence points by dividing it into five groups, each composed of 88 randomly selected presence points to match the number of absences. A logistic regression model was then built for each group. Models were evaluated using area under the curve (AUC) of the receiver operating characteristic (ROC). Results of the five groups were averaged to produce mean Satellite, CLC2000 and Combined models. The mean AUC values were 0.69, 0.81 and 0.90 for the CLC2000, Satellite and the Combined model, respectively. The probability of M. calandra presence had the strongest positive correlation with land surface temperature, modified soil adjusted vegetation index, coefficient of variation for ETM+ band 5 and the fraction of non-irrigated arable land.
DOI: 10.6084/m9.figshare.1574180.v1
title: Attini_matrix_No_APIS.nex

description: Full matrix used for dating analyses in "<b>Phylogenomics And Divergence Dating Of Fungus-Growing Ants (Hymenoptera: Formicidae)</b> <b>Of The Genera <i>Sericomyrmex</i> And <i>Apterostigma"</i></b>
DOI: 10.6084/m9.figshare.1574162.v1
title: Abdi-2013

description: The efficacy of integrating open access geospatial data to produce habitat suitability maps for the corn bunting (Miliaria calandra) was investigated. Landsat Enhanced Thematic Mapper Plus (ETM+), Shuttle Radar Topography Mission (SRTM) and Corine (Coordination of Information on the Environment) land cover data for the year 2000 (CLC2000) were processed to extract explanatory variables and divided into three sets; Satellite (ETM+, SRTM), CLC2000 and Combined (CLC2000 + Satellite). Presence-absence data for M. calandra, collected during structured surveys for the Catalan Breeding Bird Atlas, were provided by the Catalan Ornithological Institute. The dataset was partitioned into an equal number of presence and absence points by dividing it into five groups, each composed of 88 randomly selected presence points to match the number of absences. A logistic regression model was then built for each group. Models were evaluated using area under the curve (AUC) of the receiver operating characteristic (ROC). Results of the five groups were averaged to produce mean Satellite, CLC2000 and Combined models. The mean AUC values were 0.69, 0.81 and 0.90 for the CLC2000, Satellite and the Combined model, respectively. The probability of M. calandra presence had the strongest positive correlation with land surface temperature, modified soil adjusted vegetation index, coefficient of variation for ETM+ band 5 and the fraction of non-irrigated arable land.
DOI: 10.6084/m9.figshare.1574179.v1
title: Attini_matrix.nex

description: Full matrix used for phylogenetic analyses in "<b>Phylogenomics And Divergence Dating Of Fungus-Growing Ants (Hymenoptera: Formicidae)</b> <b>Of The Genera <i>Sericomyrmex</i> And <i>Apterostigma"</i></b>
DOI: 10.6084/m9.figshare.1574190.v6
title: The Open Accessibility and Remoteness Index for Australia

description: <strong>The Open Accessibility and Remoteness Index for Australia.</strong> The "Open Accessibility and Remoteness Index for Australia" is an open-data, national GIS accessibility index for Australia. Many researchers are familiar with the Australian Bureau of Statistics Remoteness Structure, which categorises places in Australia into five classes according to their remoteness. Often it would be more useful to have remoteness measured as a continuous variable, rather than a categorical one however. The ABS Remoteness Structure is based on <em>ARIA+</em>, a continuous remoteness index produced by the National Centre for Social Applications of GIS at the University of Adelaide. Unfortunately, ARIA+ is a commercial product which costs hundreds of dollars. The "Open accessibility and remoteness index for Australia" reimplements the ARIA+ methodology and makes the results freely available in the public domain. The major divergence from the ARIA+ methodology is that where ARIA+ uses network distance along highways to measure proximity, this project uses Euclidian distance. The Open Accessibility and Remoteness Index for Australia is available for 2001, 2006 and 2011 census geographies. Files available for download include 1-km raster data , population-weighted mean values for selected ABS census geographic units and a brief technical report. Please contact Francis Markham with any inquiries.
DOI: 10.6084/m9.figshare.1574147
title: INTRALIMB COORDINATION PATTERNS IN ABSENT, MILD AND SEVERE STAGES OF DIABETIC NEUROPATHY: LOOKING BEYOND KINEMATIC ANALYSIS OF GAIT CYCLE

description: The dataset contains clinical information from a diabetic patients database from the Laboratory of Biomechanics of Human motion and posture from the School of Medicine of the University of Sao Paulo. The biomechanical data are a collection of kinematics of lower limb as well as angle phases and continuos relative phase. Legends: GCO: control group, GDI: diabetes group, GDN mild: mild diabetes neuropaty group, GDN severe: severe diabetes neuropaty group.
DOI: 10.6084/m9.figshare.1574141
title: Anvio 1.2.0

description: OS X installer for anvi'o v1.2.0
DOI: 10.6084/m9.figshare.1574147.v3
title: continuous_relative_phase_data

description: The dataset contains clinical information from a diabetic patients database from the Laboratory of Biomechanics of Human motion and posture from the School of Medicine of the University of Sao Paulo. The biomechanical data as: GCO: control group GDI: diabetes group GDN mild: mild diabetes neuropaty group GDN severe: severe diabetes neuropaty group
DOI: 10.6084/m9.figshare.1574141.v1
title: Anvi'o v1.2.0

description: OS X installer for anvi'o v1.2.0
DOI: 10.6084/m9.figshare.1574120
title: Raw questionnaire data

description: Raw questionnaire data (Japanese Language Only)
DOI: 10.6084/m9.figshare.1574120.v1
title: Raw questionnaire data

description: Raw questionnaire data (Japanese Language Only)