cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4001696
title: Dataset for Ob River floodplain

description: The complete dataset (Dataset S1) for the paper Carbon emission from the boreal floodplain of Ob’ River Authors: I.V. Krickov<sup>1</sup>*, S. Serikova<sup>2</sup>, O.S. Pokrovsky<sup>1,3,4</sup>*, S.N. Vorobyev<sup>1</sup>, A.G. Lim<sup>1</sup>, M.B. Siewert<sup>5</sup> and J. Karlsson<sup>5</sup> <sup>1</sup>BIO-GEO-CLIM Laboratory, Tomsk State University, Lenina 36, 634 050 Tomsk, Russia. <sup>2</sup>Swedish Geotechnical Institute, Olaus Magnus väg 35, 581 93 Linköping, Sweden. <sup>3</sup>GET UMR 5563 CNRS, Geoscience and Environment, University of Toulouse, 14 Avenue Edouard Belin, 31400 Toulouse, France. <sup>4</sup>Institute of Ecological Problems of the North, N. Laverov Federal Center for Integrated Arctic Research, Russian Academy of Sciences, Nab. Severnoi Dviny 23, 163 000 Arkhangelsk, Russia. <sup>5</sup>Climate Impacts Research Centre (CIRC), Department of Ecology and Environmental Science, Umeå University, Linnaeus väg 6, 901 87 Umeå, Sweden.
DOI: 10.5281/zenodo.4001695
title: Dataset for Ob River floodplain

description: The complete dataset (Dataset S1) for the paper Carbon emission from the boreal floodplain of Ob’ River Authors: I.V. Krickov<sup>1</sup>*, S. Serikova<sup>2</sup>, O.S. Pokrovsky<sup>1,3,4</sup>*, S.N. Vorobyev<sup>1</sup>, A.G. Lim<sup>1</sup>, M.B. Siewert<sup>5</sup> and J. Karlsson<sup>5</sup> <sup>1</sup>BIO-GEO-CLIM Laboratory, Tomsk State University, Lenina 36, 634 050 Tomsk, Russia. <sup>2</sup>Swedish Geotechnical Institute, Olaus Magnus väg 35, 581 93 Linköping, Sweden. <sup>3</sup>GET UMR 5563 CNRS, Geoscience and Environment, University of Toulouse, 14 Avenue Edouard Belin, 31400 Toulouse, France. <sup>4</sup>Institute of Ecological Problems of the North, N. Laverov Federal Center for Integrated Arctic Research, Russian Academy of Sciences, Nab. Severnoi Dviny 23, 163 000 Arkhangelsk, Russia. <sup>5</sup>Climate Impacts Research Centre (CIRC), Department of Ecology and Environmental Science, Umeå University, Linnaeus väg 6, 901 87 Umeå, Sweden.
DOI: 10.6084/m9.figshare.10064984
title: Supplementary Material for: Cochlear Place of Stimulation Is One Determinant of Cochlear Implant Sound Quality

description: <b><i>Objective:</i></b> Our aim was to determine the effect of acute changes in cochlear place of stimulation on cochlear implant (CI) sound quality. <b><i>Design:</i></b> In Experiment 1, 5 single-sided deaf (SSD) listeners fitted with a long (28-mm) electrode array were tested. Basal shifts in place of stimulation were implemented by turning off the most apical electrodes and reassigning the filters to more basal electrodes. In Experiment 2, 2 SSD patients fitted with a shorter (16.5-mm) electrode array were tested. Both basal and apical shifts in place of stimulation were implemented. The apical shifts were accomplished by current steering and creating a virtual place of stimulation more apical that that of the most apical electrode. <b><i>Results:</i></b> Listeners matched basal shifts by shifting, in the normal-hearing ear, the overall spectrum up in frequency and/or increasing voice pitch (F0). Listeners matched apical shifts by shifting down the overall frequency spectrum in the normal-hearing ear. <b><i>Conclusion:</i></b> One factor determining CI voice quality is the location of stimulation along the cochlear partition.
DOI: 10.6084/m9.figshare.10064984.v1
title: Supplementary Material for: Cochlear Place of Stimulation Is One Determinant of Cochlear Implant Sound Quality

description: <b><i>Objective:</i></b> Our aim was to determine the effect of acute changes in cochlear place of stimulation on cochlear implant (CI) sound quality. <b><i>Design:</i></b> In Experiment 1, 5 single-sided deaf (SSD) listeners fitted with a long (28-mm) electrode array were tested. Basal shifts in place of stimulation were implemented by turning off the most apical electrodes and reassigning the filters to more basal electrodes. In Experiment 2, 2 SSD patients fitted with a shorter (16.5-mm) electrode array were tested. Both basal and apical shifts in place of stimulation were implemented. The apical shifts were accomplished by current steering and creating a virtual place of stimulation more apical that that of the most apical electrode. <b><i>Results:</i></b> Listeners matched basal shifts by shifting, in the normal-hearing ear, the overall spectrum up in frequency and/or increasing voice pitch (F0). Listeners matched apical shifts by shifting down the overall frequency spectrum in the normal-hearing ear. <b><i>Conclusion:</i></b> One factor determining CI voice quality is the location of stimulation along the cochlear partition.
DOI: 10.6084/m9.figshare.10250684
title: Convenient synthesis of linear 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromenes from natural occurring compound; visnagin

description: A simple and convenient rout for the synthesis of linear 2-imino-2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromen-6-ones and 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>]chromene-2,6-diones has been described starting from natural occurring furochromone; visnagin (<b>1</b>). Ring opening of <b>1</b> yielded 6-formyl-7-hydroxy-5-methoxy-2-methylchromone (<b>2</b>), which underwent reaction with different acetonitrile derivatives furnished 2-imino-2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromen-6-ones (<b>5a–h</b>). Acid hydrolysis of <b>5a–h</b> led to the formation of 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>]chromene-2,6-diones (<b>6a–h</b>). Structures of the synthesized compounds were clarified based on their elemental analyses and spectral data. The entire target compounds were selected for <i>in vitro</i> anticancer activity against 60 human cancer cell lines at a single dose (10<sup>−5</sup> M) by the National Cancer Institute (NCI, Bethesda, USA).
DOI: 10.6084/m9.figshare.10250684.v1
title: Convenient synthesis of linear 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromenes from natural occurring compound; visnagin

description: A simple and convenient rout for the synthesis of linear 2-imino-2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromen-6-ones and 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>]chromene-2,6-diones has been described starting from natural occurring furochromone; visnagin (<b>1</b>). Ring opening of <b>1</b> yielded 6-formyl-7-hydroxy-5-methoxy-2-methylchromone (<b>2</b>), which underwent reaction with different acetonitrile derivatives furnished 2-imino-2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>] chromen-6-ones (<b>5a–h</b>). Acid hydrolysis of <b>5a–h</b> led to the formation of 2<i>H</i>,6<i>H</i>-pyrano[3,2-<i>g</i>]chromene-2,6-diones (<b>6a–h</b>). Structures of the synthesized compounds were clarified based on their elemental analyses and spectral data. The entire target compounds were selected for <i>in vitro</i> anticancer activity against 60 human cancer cell lines at a single dose (10<sup>−5</sup> M) by the National Cancer Institute (NCI, Bethesda, USA).
DOI: 10.6084/m9.figshare.10063064
title: ocean mesoscale eddies-atmosphere interaction in the Kuroshio-Oyashio extension region

description: This is a supporting dataset for a research about ocean mesoscale eddies-atmosphere interaction and its effects in the Kuroshio-Oyashio extension region. The source of the data is a high-resolution (9km) coupled regional climate model (CRCM) implemented in Texas A&M University (U.S.A).
DOI: 10.6084/m9.figshare.10063064.v1
title: ocean mesoscale eddies-atmosphere interaction in the Kuroshio-Oyashio extension region

description: This is a supporting dataset for a research about ocean mesoscale eddies-atmosphere interaction and its effects in the Kuroshio-Oyashio extension region. The source of the data is a high-resolution (9km) coupled regional climate model (CRCM) implemented in Texas A&M University (U.S.A).
DOI: 10.6084/m9.figshare.10063028
title: Anexo 1. BBDD temáticas iniciales

description: BBDD de temáticas iniciales.
DOI: 10.6084/m9.figshare.10063028.v1
title: Anexo 1. BBDD temáticas iniciales

description: BBDD de temáticas iniciales.
DOI: 10.6084/m9.figshare.10062485
title: Source data of Green's function and figure files.

description: In the article of " Universal Fermi-surface anisotropy renormalization for interacting Dirac fermions with long-range interactions", we present the analysis of the unequal time Green's function to find the renormalized energy as well as the anisotropy of the energy surface. This link provide both the source data of Green's function and the .fig files in the article. <br>This matlab data file includes the source data of unequal time Green's function for every parameters we simulated in projective quantum Monte Carlo. We study the fermionic model with the on-site Hubbard U and the long range Coulomb interaction r_s on honeycomb lattice and \pi-flux model with y-axis hopping magnitude t_y. We put the Green function of honeycomb lattice in datGF_hc.mat and the Green function of \pi-flux model in datGF_pi.mat.<br> The file contain a list of three levels. In the first level of the list, we classify the data according to the parameter \gamma, U and lattice size L. In second level, we list out all the Green's function (G_k(tau)=) of momentum k=(kx,ky) for the addition between conduction band and valence band, assuming the particle-hole symmetry. In our simulation, we find G(tau=0 to 10) in the imaginary time interval of 0.1. The Green function format is that the first column is tau label, the second column is the Green's function, and the third column is the error estimation of the Green's function. <br> For example, if we search the unequal time Green's function of valence band at the Dirac point (4.18,0) for rs=1/6, U=1 and lattice size L=15. We can access by datGF{9,4}{226,3}, which gives the Green's function and associated error in term of imaginary time. The Green's function here are calculated by averaging the data bins in converged Monte Carlo process.
DOI: 10.6084/m9.figshare.10062485.v1
title: Source data of Green's function and figure files.

description: In the article of " Universal Fermi-surface anisotropy renormalization for interacting Dirac fermions with long-range interactions", we present the analysis of the unequal time Green's function to find the renormalized energy as well as the anisotropy of the energy surface. This link provide both the source data of Green's function and the .fig files in the article. <br>This matlab data file includes the source data of unequal time Green's function for every parameters we simulated in projective quantum Monte Carlo. We study the fermionic model with the on-site Hubbard U and the long range Coulomb interaction r_s on honeycomb lattice and \pi-flux model with y-axis hopping magnitude t_y. We put the Green function of honeycomb lattice in datGF_hc.mat and the Green function of \pi-flux model in datGF_pi.mat.<br> The file contain a list of three levels. In the first level of the list, we classify the data according to the parameter \gamma, U and lattice size L. In second level, we list out all the Green's function (G_k(tau)=) of momentum k=(kx,ky) for the addition between conduction band and valence band, assuming the particle-hole symmetry. In our simulation, we find G(tau=0 to 10) in the imaginary time interval of 0.1. The Green function format is that the first column is tau label, the second column is the Green's function, and the third column is the error estimation of the Green's function. <br> For example, if we search the unequal time Green's function of valence band at the Dirac point (4.18,0) for rs=1/6, U=1 and lattice size L=15. We can access by datGF{9,4}{226,3}, which gives the Green's function and associated error in term of imaginary time. The Green's function here are calculated by averaging the data bins in converged Monte Carlo process.
DOI: 10.6084/m9.figshare.10062458
title: My data.zip

description: The dataset contains four nighttime lights satellite imageries as the source data, which were taken from Wuhan Ccity on June 14, 2018, Wuhan City on September 15, 2018, Shenyang City on September 10, 2018 and Shenyang City on March 17, 2019. The dataset also provides the "result.mxd" file for urban commercial areas detection using these four imageries .
DOI: 10.6084/m9.figshare.10062461
title: reference-hgcA-alignment

description: Trimmed and masked alignment of select HgcA proteins used for phylogenetic tree construction
DOI: 10.6084/m9.figshare.10062413
title: mehg-genomes-metadata

description: Genome classifications, statistics, and information for all 904 putative methylating Genbank assemblies and MAGs identified in this study.
DOI: 10.6084/m9.figshare.10062455
title: all-hgcA-proteins

description: FASTA-formatted file of all 904 confident, HgcA hits from publicly available Genbank accessions, freshwater MAGs from Jones et al. 2019, and newly assembled freswhater MAGs
DOI: 10.6084/m9.figshare.10062461.v2
title: reference-hgcA-alignment

description: Trimmed and masked alignment of select HgcA proteins used for phylogenetic tree construction
DOI: 10.6084/m9.figshare.10062455.v2
title: all-hgcA-proteins

description: FASTA-formatted file of all 904 confident, HgcA hits from publicly available Genbank accessions, freshwater MAGs from Jones et al. 2019, and newly assembled freswhater MAGs
DOI: 10.6084/m9.figshare.10062461.v1
title: reference-hgcA-alignment

description: Trimmed and masked alignment of select HgcA proteins used for phylogenetic tree construction
DOI: 10.6084/m9.figshare.10062512.v3
title: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment

description: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment
DOI: 10.6084/m9.figshare.10062368
title: Supplementary_data_tables.xlsx

description: Apatite fission track individual grain ages, confined track length measurements, and U-Pb isotopic data<br>
DOI: 10.6084/m9.figshare.10062371
title: Molecular phylogenetics and evolutionary history of the endemic land snail genus Everettia in northern Borneo

description: <b>Supplemental Information</b> Additional File 1. Species records of Genus <i>Everettia</i> in Sabah for Maxent Analysis. The table consists of the 718 records of 17 <i>Everettia</i> species in Sabah obtained from BORNEENSIS collection, Universiti Malaysia Sabah. The collection lot reference number, number of specimens in each collection lot, and the geographic coordinates of the specimens were included in the table. Additional File 2. Results of ModelTest for each partition of DNA sequencing alignment and parameter used in BEAST analysis. Each of the six partitions, namely, codons of COI, namely, 1st, 2nd and 3rd codon positions of COI, 16S rDNA, ITS-1, and 28S rDNA, was tested for molecular evolution via ModelFinder (Kalyaanamoorthy et al., 2017) and partition models (Chernomor et al., 2016) based on the both AIC and BIC that built into IQ-Tree v.1.6.7 (Nguyen et al., 2015; Trifinopoulos et al. 2016). We limited the candidate models to the six models that are available in MrBayes analysis, namely, JC, F81, K80, HKY, SYM, and GTR. Additional File 3. A zipped folder consists of input files and outputs of Bayesian (BA) and Maximum Likelihood (ML) analysis. The input files and outputs of Bayesian (BA) and Maximum Likelihood (ML) analysis for each of two different best-fit substitution models selected by BIC and AIC criteria, respectively. The phylogenies for each of the analyses were summarised in the word document file. Additional File 4. A zipped folder consists of input files and outputs of BEAST analysis. A total of four BEAST input XML files for the combinations two different best-fit substitution models (selected by BIC and AIC criteria) and two calibrated models (Yule model vs. Birth-Death model). The calibrated phylogenies for each of the four analyses were summarised in the word document file. Additional File 5. Correlations between bioclim variables. Bioclimatic variables were sampled 500 at random locations in Borneo in each of the 19 climatic layers. Collinearity among the 19 climatic variables was evaluated by using pairwise Pearson’s r correlation. After the analysis, 12 highly correlated variables (r &gt; 0.8) were excluded from MAXENT analysis. The seven climatic variables were used for species distribution modelling, namely, BIO1 Annual Mean Temperature, BIO3 Isothermality, BIO4 Temperature Seasonality, BIO7 Temperature Annual Range, BIO12 Annual Precipitation, BIO15 Precipitation Seasonality, and BIO19 Precipitation of Coldest Quarter. Additional File 6. Concatenated DNA Data Matrix for 16S, COI, ITS, and 28S Sequences for 73 taxa. DNA sequences alignment in FASTA format. Position 1-501: 16S; Position 502-1059: COI; Position 1060-1869: ITS; and Position 1870-2795: 28S.
DOI: 10.6084/m9.figshare.10062368.v1
title: Supplementary_data_tables.xlsx

description: Apatite fission track individual grain ages, confined track length measurements, and U-Pb isotopic data<br>
DOI: 10.6084/m9.figshare.10062455.v1
title: all-hgcA-proteins

description: FASTA-formatted file of all 904 confident, HgcA hits from publicly available Genbank accessions, freshwater MAGs from Jones et al. 2019, and newly assembled freswhater MAGs
DOI: 10.6084/m9.figshare.10062512.v4
title: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment

description: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment
DOI: 10.6084/m9.figshare.10062512.v5
title: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment

description: Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment
DOI: 10.6084/m9.figshare.10062224
title: Open_Repository_Support_Material

description: This is a Technical Report containing support material that was used to develop, evaluate and evolve an open repository to teaching software modeling employing active learning strategies. In addition, we present the evolve made from the first version to its current version.
DOI: 10.6084/m9.figshare.10062239
title: Spring and fall phenology data

description: The following dataset includes the dates at which 10%, 50%, and 90% of summed migratory movements occurred at 143 weather surveillance radar stations from 1995 to 2018 with the lower 48 states of the United States. Data include spring and fall movements.
DOI: 10.25380/iastate.10062203
title: CSAFE Handwriting Database

description: These data were collected to support the development of statistical approaches to the evaluation of handwriting as forensic evidence. Each enrolled participant provided handwriting samples at three data collection sessions, each at least three weeks apart. At each session participants completed a short survey and transcribed the contents of three prompts, each three times. This repository includes 27 scanned writing samples from each of 90 participants, making 2430 handwriting samples in total. In addition, survey data are available in table format including a few demographic variables and session specific information for each participant. Data were collected by researchers at the Center for Statistics and Applications in Forensic Evidence.<br>
DOI: 10.25380/iastate.10062203.v1
title: CSAFE Handwriting Database

description: These data were collected to support the development of statistical approaches to the evaluation of handwriting as forensic evidence. Each enrolled participant provided handwriting samples at three data collection sessions, each at least three weeks apart. At each session participants completed a short survey and transcribed the contents of three prompts, each three times. This repository includes 27 scanned writing samples from each of 90 participants, making 2430 handwriting samples in total. In addition, survey data are available in table format including a few demographic variables and session specific information for each participant. Data were collected by researchers at the Center for Statistics and Applications in Forensic Evidence.<br>
DOI: 10.6084/m9.figshare.10062224.v2
title: Open_Repository_Support_Material

description: This is a Technical Report containing support material that was used to develop, evaluate and evolve an open repository to teaching software modeling employing active learning ltrategies. In addition, we present the evolve made from the first version to its current version.
DOI: 10.6084/m9.figshare.10062224.v1
title: Open_Repository_Support_Material

description: This is a Technical Report containing support material that was used to develop, evaluate and evolve an open repository to teaching software modeling employing active learning ltrategies. In addition, we present the evolve made from the first version to its current version.
DOI: 10.6084/m9.figshare.10062095
title: S.O. Glucose Data.xlsx

description: Data associated with the analysis of a PMP-glucose derivative created from glucose in <i>S. oneidensis</i> cultures
DOI: 10.1184/r1/10061885
title: National Gallery of Art InceptionV3 Features

description: On October 24-25, 2019 the National Gallery of Art in Washington, D.C.hosted a "data-thon" where multiple teams of art historians and data scientists worked with the museum's open collection data to study questions about the history and composition of the collections. <br><br>A joint team from Carnegie Mellon and the University of Pittsburgh used image features from a convolutional neural network to index the National Gallery of Art's images by visual similarity. This allowed the team to compare the visual distribution of different collections within the National Gallery, and with related parts of the Samuel H. Kress collection (distributed in museums around the country) as well as a portion of the Lessig Rosenwald collection (split between the National Gallery and the Library of Congress).<br>This deposit includes:<br>- a table of Inception V3 image features computed for images from the National Gallery of Art- a set of JSON files containing basic curatorial data for each image, along with a list of its 7 nearest neighbors in the Inception V3 vector space<br>- 2D visualizations of paintings, and of prints and drawings, clustered based on these computed features.<br>- Colorized visualizations showing the distribution of individual collectors' contributions in this visual similarity space- Slides presented at the National Gallery<br>An interface for browsing these artworks by visual neighbors is available at https://dh-web.hss.cmu.edu/nga<br>
DOI: 10.1184/r1/10061885.v2
title: National Gallery of Art InceptionV3 Features

description: On October 24-25, 2019 the National Gallery of Art in Washington, D.C.hosted a "data-thon" where multiple teams of art historians and data scientists worked with the museum's open collection data to study questions about the history and composition of the collections. <br><br>A joint team from Carnegie Mellon and the University of Pittsburgh used image features from a convolutional neural network to index the National Gallery of Art's images by visual similarity. This allowed the team to compare the visual distribution of different collections within the National Gallery, and with related parts of the Samuel H. Kress collection (distributed in museums around the country) as well as a portion of the Lessig Rosenwald collection (split between the National Gallery and the Library of Congress).<br>This deposit includes:<br>- a table of Inception V3 image features computed for images from the National Gallery of Art- a set of JSON files containing basic curatorial data for each image, along with a list of its 7 nearest neighbors in the Inception V3 vector space<br>- 2D visualizations of paintings, and of prints and drawings, clustered based on these computed features.<br>- Colorized visualizations showing the distribution of individual collectors' contributions in this visual similarity space- Slides presented at the National Gallery<br>An interface for browsing these artworks by visual neighbors is available at https://dh-web.hss.cmu.edu/nga<br>