cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5422612
title: Citation networks for understanding median research teams in idea flow with in a research community

description: <pre>The dataset contains 9 citations graphs obtained from the Web of Science. 3 graphs were generated for each of 3 research areas. 3 research areas are used, including SWF (Switched-capacitor Filters), NLP (Natural Language Processing), and RTT (Real-Time Tracking). For each area, 3 methods are used for generating the graph. Different methods use different "seed papers" are the starting point of getting the entire graph. Three settings of "seed papers" are used:6seed -- 6 very highly cited papers in the area that are hand picked and considered as having significant contributions to the community;100cit -- 100 top cited papers from search result for the research area at the time;100relev -- 100 most relavant papers from search result for the research area at the time The datasets are named after the following rule: [area][seed paper type]_[file type].csv eg. NLP6seed_arcs.csv -- Natural Language Processing, using 6 very highly cited papers as seed papers. The file contains the arc information. NLP6seed is the dataset used in the paper. We also provide the supporting data for all other 8 datasets. Detailed description of the files are given below: <br>- [dataset]_arcs.csv: the netlist of the citation graph- [dataset]_vertices.csv: the node information of the citation graph (paper name, author names, #citations, etc.)- [dataset]_cluster.xlsx: the group category information of the citation graph. Each column represents: GN-group leader name, GP-group publication, GS-group size, GC-group citation count, SC-self citation counts, CL-group category We also provide the following results:<br>- bc_[dataset].mat : betweenness change when removing categories B and/or C from the graph- mbc_[dataset].mat :modified betweenness change when removing categories B and/or C from the graph- sp_[dataset].mat : shortest path length change when removing categories B and/or C from the graph- msp_[dataset].mat : modified shortest path length change when removing categories B and/or C from the graph <br></pre>
DOI: 10.6084/m9.figshare.5422594
title: From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013

description: Systems biology is a discipline that studies biological systems from a holistic and interdisciplinary perspective. It brings together biologists, mathematicians, computer scientists, physicists, and engineers, so it has both biology-oriented components and systems-oriented components. We applied several computational tools to analyze the bibliographic information of published articles in systems biology to answer the question: Did the research topics of systems biology become more biology-oriented or more systems-oriented from 1992 to 2013? We analyzed the metadata of 9923 articles on systems biology from the Web of Science database. We identified the most highly cited 330 references using computational tools and through close reading we divided them into nine categories of research types in systems biology, and found that articles in one category, namely, systems biology’s application in medical research, increased tremendously. This finding was corroborated by computational analysis of the abstracts, which also suggests that the percentages of topics on vaccines, diseases, drugs and cancers increased over time. Furthermore, we identified the most highly cited 330 authors over time. We found that before the mid-1990s, systems-oriented scientists have made the most referenced contributions, but in more recent years, biology-oriented researchers have made the most referenced contributions.
DOI: 10.6084/m9.figshare.5422594.v1
title: From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013

description: Systems biology is a discipline that studies biological systems from a holistic and interdisciplinary perspective. It brings together biologists, mathematicians, computer scientists, physicists, and engineers, so it has both biology-oriented components and systems-oriented components. We applied several computational tools to analyze the bibliographic information of published articles in systems biology to answer the question: Did the research topics of systems biology become more biology-oriented or more systems-oriented from 1992 to 2013? We analyzed the metadata of 9923 articles on systems biology from the Web of Science database. We identified the most highly cited 330 references using computational tools and through close reading we divided them into nine categories of research types in systems biology, and found that articles in one category, namely, systems biology’s application in medical research, increased tremendously. This finding was corroborated by computational analysis of the abstracts, which also suggests that the percentages of topics on vaccines, diseases, drugs and cancers increased over time. Furthermore, we identified the most highly cited 330 authors over time. We found that before the mid-1990s, systems-oriented scientists have made the most referenced contributions, but in more recent years, biology-oriented researchers have made the most referenced contributions.
DOI: 10.6084/m9.figshare.5422612.v1
title: NLP6seed

description: The folder contains the following files: <br>- [dataset]_arcs.csv: the netlist of the citation graph - [dataset]_vertices.csv: the node information of the citation graph (paper name, author names, #citations, etc.) - [dataset]_cluster.xlsx: the group category information of the citation graph. Each column represents: GN-group leader name, GP-group publication, GS-group size, GC-group citation count, SC-self citation counts, CL-group category <br>For dataset NLP6seed, we also provide the following results: - bc_[dataset].mat : betweenness change when removing categories B and/or C from the graph- mbc_[dataset].mat :modified betweenness change when removing categories B and/or C from the graph- sp_[dataset].mat : shortest path length change when removing categories B and/or C from the graph- msp_[dataset].mat : modified shortest path length change when removing categories B and/or C from the graph
DOI: 10.6084/m9.figshare.5422615
title: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position

description: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position
DOI: 10.6084/m9.figshare.5422615.v1
title: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position

description: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position
DOI: 10.6084/m9.figshare.5422615.v3
title: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position

description: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position
DOI: 10.6084/m9.figshare.5422615.v2
title: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position

description: Distortion correction of diffusion-weighted magnetic resonance imaging of the head and neck in radiotherapy position
DOI: 10.6084/m9.figshare.5422522
title: All English WIkipedia Article URLs (20-Sept-2017)

description: A list of all English Wikipedia article URLs (14mil+)<br>It includes redirects and disambiguation pages. It was compiled by scraping this list: https://en.wikipedia.org/w/index.php?title=Special:AllPages&hideredirects=1 on 20-Sept-2017<br>The urls are new-line delimited. Note that each url doesn't include the `https://en.wikipedia.org/wiki/` part. So `https://en.wikipedia.org/wiki/People` is simply listed as `People`.
DOI: 10.6084/m9.figshare.5422522.v1
title: All English WIkipedia Article URLs

description: A list of all English Wikipedia article URLs (14mil+)<br>It includes redirects and disambiguation pages. It was compiled by scraping this list: https://en.wikipedia.org/w/index.php?title=Special:AllPages&hideredirects=1<br>The urls are new-line delimited. Note that each url doesn't include the `https://en.wikipedia.org/wiki/` part. So `https://en.wikipedia.org/wiki/People` is simply listed as `People`.
DOI: 10.6084/m9.figshare.5421880
title: Discovery aggression data

description: Aggressive data associated with populations of socially parasitic (or not) rock ants
DOI: 10.6084/m9.figshare.5421949
title: Distributional data for Phanolinopsis discedens (Sharp)

description: Distributional data for Phanolinopsis discedens
DOI: 10.6084/m9.figshare.5421958
title: Height and lifespan in professional basketball players

description: This dataset examines living and deceased players who have played in the National Basketball Association (debut between 1946 – 2010) and/or the American Basketball Association (1967–1976) using descriptive and Kaplan-Meier and Cox regression analyses. The cut-off date for death data collection was December 11, 2015.
DOI: 10.6084/m9.figshare.5422036
title: Smith_etal_GRL_2017_sampled_parameters.csv

description: Tabulated values were sampled at 1 km spaced sites along the west coast and Channel Islands of the USA. Values reflect inverse distance weighted averages of terrestrial catchment characteristics of the nearest 40 streams, with an exponent of distance of 0.5. We used published bathymetry (NOAA bathymetric coverage, https://maps.ngdc.noaa.gov/viewers/bathymetry/, supplemented by California Seafloor Mapping Project coverage, http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm) to identify canyon heads and slope edge gullies. Canyons are indicated when a sampling site intersects a 5 km buffer surrounding identified canyon heads. Coastal drainage basins &gt;0.1 km<sup>2</sup> were delineated and topographically characterized (slope, relief, area) using the 1/3 second USGS National Elevation Dataset (https://catalog.data.gov/dataset/usgs-national-elevation-dataset-ned). These data were used with bedrock geology and precipitation to calculate bedload yields. The percentage of bedrock lithologies in each catchment was characterized using state bedrock geologic maps, and annual precipitation was obtained from the PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu/.
DOI: 10.6084/m9.figshare.5422036.v1
title: Smith_etal_GRL_2017_sampled_parameters.csv

description: Tabulated values were sampled at 1 km spaced sites along the west coast and Channel Islands of the USA. Values reflect inverse distance weighted averages of terrestrial catchment characteristics of the nearest 40 streams, with an exponent of distance of 0.5. We used published bathymetry (NOAA bathymetric coverage, https://maps.ngdc.noaa.gov/viewers/bathymetry/, supplemented by California Seafloor Mapping Project coverage, http://seafloor.otterlabs.org/SFMLwebDATA_SURVEYMAP.htm) to identify canyon heads and slope edge gullies. Canyons are indicated when a sampling site intersects a 5 km buffer surrounding identified canyon heads. Coastal drainage basins &gt;0.1 km<sup>2</sup> were delineated and topographically characterized (slope, relief, area) using the 1/3 second USGS National Elevation Dataset (https://catalog.data.gov/dataset/usgs-national-elevation-dataset-ned). These data were used with bedrock geology and precipitation to calculate bedload yields. The percentage of bedrock lithologies in each catchment was characterized using state bedrock geologic maps, and annual precipitation was obtained from the PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu/.
DOI: 10.6084/m9.figshare.5421880.v1
title: Discovery aggression data

description: Aggressive data associated with populations of socially parasitic (or not) rock ants
DOI: 10.6084/m9.figshare.5421949.v2
title: Distributional data for Phanolinopsis discedens (Sharp)

description: Distributional data for Phanolinopsis discedens
DOI: 10.6084/m9.figshare.5421949.v1
title: Distributional data for Phanolinopsis discedens(Sharp)

description: Distributional data for Phanolinopsis discedens
DOI: 10.6084/m9.figshare.5421655
title: TVBF_both_Trinotate_annotation_report_withUniref90.xls

description: Tetragnatha versicolor venom dimorphism transcriptome annotations, including gene ontologies.
DOI: 10.6084/m9.figshare.5421613
title: FootshockCircuit

description: A foot shock circuit for fear memory researches based on the design of Fred A. Masterson (1982) Grid and Peripheral Shock Stimulation in 'Electrical Stimulation Research Techniques', Academic Press. Because it utilizes relatively high voltage, over 500 V, only qualified engineers should make it. A MATLAB code for an auditory cue-dependent fear conditioning is available in GitHub (https://github.com/yuichi-takeuchi/CueFearConditioning).
DOI: 10.6084/m9.figshare.5421565
title: data files for phconvert

description: Example data for pt3 and t3r extension.
DOI: 10.6084/m9.figshare.5421517
title: TversicolorDimorphism_GFOLD.tar.gz

description: Tetragnatha versicolor venom dimorphism GFOLD differential expression results and associated files
DOI: 10.6084/m9.figshare.5421613.v1
title: FootshockCircuit

description: A foot shock circuit for fear memory researches based on a design of Fred A. Masterson (1982) Grid and Peripheral Shock Stimulation in 'Electrical Stimulation Research Techniques', Academic Press. Because it utilizes relatively high voltage, over 500V, only qualified engineers should make it. A Matlab code for an auditory cue-dependent fear conditioning is available in my Github page (https://github.com/yuichi-takeuchi/CueFearConditioning).
DOI: 10.6084/m9.figshare.5421517.v1
title: TversicolorDimorphism_GFOLD.tar.gz

description: Tetragnatha versicolor venom dimorphism GFOLD differential expression results and associated files
DOI: 10.6084/m9.figshare.5421565.v2
title: data files for phconvert

description: Example data for pt3 and t3r extension.
DOI: 10.6084/m9.figshare.5421085
title: Matlab fig. format and data for Supplementary Fig. 3

description: Matlab fig. format and data for Supplementary Fig. 3
DOI: 10.6084/m9.figshare.5421565.v1
title: data files for phconvert

description: Example data for pt3 and t3r extension.
DOI: 10.6084/m9.figshare.5420986
title: TversicolorDimorphism_GFclustering.tar.gz

description: Tetragnatha versicolor venom dimorphism gene family clustering results and associated files.
DOI: 10.6084/m9.figshare.5421613.v2
title: FootshockCircuit

description: A foot shock circuit for fear memory researches based on a design of Fred A. Masterson (1982) Grid and Peripheral Shock Stimulation in 'Electrical Stimulation Research Techniques', Academic Press. Because it utilizes relatively high voltage, over 500V, only qualified engineers should make it. A Matlab code for an auditory cue-dependent fear conditioning is available in my Github page (https://github.com/yuichi-takeuchi/CueFearConditioning).
DOI: 10.6084/m9.figshare.5421613.v4
title: FootshockCircuit

description: A foot shock circuit for fear memory researches based on the design of Fred A. Masterson (1982) Grid and Peripheral Shock Stimulation in 'Electrical Stimulation Research Techniques', Academic Press. Because it utilizes relatively high voltage, over 500 V, only qualified engineers should make it. A MATLAB code for an auditory cue-dependent fear conditioning is available in GitHub (https://github.com/yuichi-takeuchi/CueFearConditioning).
DOI: 10.6084/m9.figshare.5419531.v1
title: Annotated database of the mountain hare transcriptome

description: Data citation 2: Mountain hare transcriptome - annotated database file.
DOI: 10.6084/m9.figshare.5420740.v1
title: SNP inference VCF file

description: Data citation 2: SNP inference VCF file.
DOI: 10.6084/m9.figshare.5421133.v1
title: Svarteliste_ferskvannfisk_2017

description: Skript, filer og data for analyse av ekspansjonshastighet av fremmed ferskvannfisk for Norsk svarteliste 2017
DOI: 10.6084/m9.figshare.5421613.v3
title: FootshockCircuit

description: A foot shock circuit for fear memory researches based on the design of Fred A. Masterson (1982) Grid and Peripheral Shock Stimulation in 'Electrical Stimulation Research Techniques', Academic Press. Because it utilizes relatively high voltage, over 500 V, only qualified engineers should make it. A MATLAB code for an auditory cue-dependent fear conditioning is available in GitHub (https://github.com/yuichi-takeuchi/CueFearConditioning).
DOI: 10.6084/m9.figshare.5419471
title: Basis set limit coupled-cluster studies of hydrogen-bonded systems<sup>†</sup>

description: As hydrogen-bonded systems are of utmost importance in especially biological and chemical systems, a new set of highly accurate reference dissociation energies, denoted HB49, is devised. For the molecules in this set, the basis set convergence of post-Hartree–Fock methods, including F12 methods, is investigated. Using combined Møller–Plesset perturbation theory (MP2) and CCSD(T) approaches for energies and MP2 and QCISD(T) for gradients, we achieve CCSD(T) accuracy, which has been determined before to yield an accuracy of 0.2 kJ/mol for a subset of HB49. Both conventional extrapolation techniques and F12 techniques are competitive with each other. By using MP2+ΔCCSD(T), a rather fast basis set convergence is obtained when both basis sets are carefully chosen.
DOI: 10.6084/m9.figshare.5419501
title: Helicobacter pylori VCF

description: This data is a VCF file obtained after aligning the raw sequence from Bubendorfer et al to the two reference donor and receiver genome.<br><br>It was parsed downwards to look at traces of recombination and conversion frequencies.<br>
DOI: 10.6084/m9.figshare.5419408
title: Aggregate data for the forthcoming PLOS ONE article "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences" DOI: 10.1371/journal.pone.0185578

description: Aggregate data for the PLOS ONE article "Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences." DOI: 10.1371/journal.pone.0185578<br>Table 1. Explained and cumulative variance for each axis<br>Table 2. Relative contributions of the factor to the element for disciplines (expressed as a percentage)<br>Table 3. Number of papers indexed in WoS (all and with funding acknowledgements) and percentage of papers with funding acknowledgements, by discipline (2015)<br>For the purposes of the analysis presented in Fig 1 and 2, the dataset was partitioned by discipline and a Correspondence Analysis was applied to these subsets and using a MATLAB program.Fig 1. Bidimensional Correspondence Analysis for acknowledgements patterns by discipline (plane 1-2)<br>Fig 2. Bidimensional Correspondence Analysis for acknowledgements patterns by discipline (plane 3-4).<br>Supporting Information:S1 Fig. Frequency distribution of noun phrases found in acknowledgementsS1 Table. Frequency of the 214 most frequent noun phrases, by disciplineS2 Table. Quality of representation of the rows (cumulative contribution for each NP)S3 Table. Quality of representation of the columns (cumulative contribution for each discipline)
DOI: 10.6084/m9.figshare.5419471.v1
title: Basis set limit coupled-cluster studies of hydrogen-bonded systems<sup>†</sup>

description: As hydrogen-bonded systems are of utmost importance in especially biological and chemical systems, a new set of highly accurate reference dissociation energies, denoted HB49, is devised. For the molecules in this set, the basis set convergence of post-Hartree–Fock methods, including F12 methods, is investigated. Using combined Møller–Plesset perturbation theory (MP2) and CCSD(T) approaches for energies and MP2 and QCISD(T) for gradients, we achieve CCSD(T) accuracy, which has been determined before to yield an accuracy of 0.2 kJ/mol for a subset of HB49. Both conventional extrapolation techniques and F12 techniques are competitive with each other. By using MP2+ΔCCSD(T), a rather fast basis set convergence is obtained when both basis sets are carefully chosen.
DOI: 10.6084/m9.figshare.5419405
title: Analysis of the hatching site and migratory behaviour of the swordtip squid (<i>Uroteuthis edulis</i>) caught in the Japan Sea and Tsushima Strait in autumn estimated by statolith analysis

description: In contrast to the swordtip squid (<i>Uroteuthis edulis</i>) caught in the spring and summer, those caught in the autumn in the Japan Sea and the Tsushima Strait are characterized by thick bodies with large clubs, long tentacles and large suckers. In addition, most females and many males are immature. However, the reasons for these characteristics, as well as the hatching site and migratory behaviour, are not well known. The empirical water temperature of juveniles was estimated at ∼17°C through strontium:calcium (Sr:Ca) ratios in statoliths and information on seawater temperature distribution. The ontogenetic variation in Sr:Ca ratios decreased from hatching to 60 days after hatching and then remained stable. The estimated water temperature was ∼21°C after 60 days. Thus, individuals of the autumn-migrating group most likely hatch in the southern East China Sea in the winter and early spring and then move north-eastwards with currents and pass through the Tsushima Strait into the southern Japan Sea during or after July. However, the squid could be present in these waters without strong currents northeast of Tsushima Island, where thermoclines occur during summer, and become confined in limited layers until vertical mixing occurs in the autumn. The distribution of the squid would thereafter extend to fishing grounds in the southern and south-eastern Japan Sea and then to the Tsushima Strait. This migratory behaviour could be the cause of the observed characteristics because bottom seawater temperatures are much lower in the Japan Sea than in the East China Sea.
DOI: 10.6084/m9.figshare.5419405.v1
title: Analysis of the hatching site and migratory behaviour of the swordtip squid (<i>Uroteuthis edulis</i>) caught in the Japan Sea and Tsushima Strait in autumn estimated by statolith analysis

description: In contrast to the swordtip squid (<i>Uroteuthis edulis</i>) caught in the spring and summer, those caught in the autumn in the Japan Sea and the Tsushima Strait are characterized by thick bodies with large clubs, long tentacles and large suckers. In addition, most females and many males are immature. However, the reasons for these characteristics, as well as the hatching site and migratory behaviour, are not well known. The empirical water temperature of juveniles was estimated at ∼17°C through strontium:calcium (Sr:Ca) ratios in statoliths and information on seawater temperature distribution. The ontogenetic variation in Sr:Ca ratios decreased from hatching to 60 days after hatching and then remained stable. The estimated water temperature was ∼21°C after 60 days. Thus, individuals of the autumn-migrating group most likely hatch in the southern East China Sea in the winter and early spring and then move north-eastwards with currents and pass through the Tsushima Strait into the southern Japan Sea during or after July. However, the squid could be present in these waters without strong currents northeast of Tsushima Island, where thermoclines occur during summer, and become confined in limited layers until vertical mixing occurs in the autumn. The distribution of the squid would thereafter extend to fishing grounds in the southern and south-eastern Japan Sea and then to the Tsushima Strait. This migratory behaviour could be the cause of the observed characteristics because bottom seawater temperatures are much lower in the Japan Sea than in the East China Sea.