cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7882934.v1
title: Code for creating and processing semantic annotation datasets for Ancient Greek.

description: Code for creating and processing semantic annotation datasets in Ancient Greek from the Diorisis Ancient Greek corpus.<br>Author: Alessandro Vatri
DOI: 10.6084/m9.figshare.7882922.v1
title: gVCF_HG00577

description: 1000 Genomes gVCF mapped to hs37d5 for HG00577. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882925.v1
title: gVCF_HG00698

description: 1000 Genomes gVCF mapped to hs37d5 for HG00698. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882913
title: gVCF_HG00629

description: 1000 Genomes gVCF mapped to hs37d5 for HG00629. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882916
title: gVCF_HG00693

description: 1000 Genomes gVCF mapped to hs37d5 for HG00693. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882931.v1
title: gVCF_HG00578

description: 1000 Genomes gVCF mapped to hs37d5 for HG00578. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882898
title: gVCF_HG00628

description: 1000 Genomes gVCF mapped to hs37d5 for HG00628. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882901
title: gVCF_HG00692

description: 1000 Genomes gVCF mapped to hs37d5 for HG00692. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882910
title: gVCF_HG00566

description: 1000 Genomes gVCF mapped to hs37d5 for HG00566. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882916.v1
title: gVCF_HG00693

description: 1000 Genomes gVCF mapped to hs37d5 for HG00693. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882895
title: gVCF_HG00565

description: 1000 Genomes gVCF mapped to hs37d5 for HG00565. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882898.v1
title: gVCF_HG00628

description: 1000 Genomes gVCF mapped to hs37d5 for HG00628. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882901.v1
title: gVCF_HG00692

description: 1000 Genomes gVCF mapped to hs37d5 for HG00692. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882910.v1
title: gVCF_HG00566

description: 1000 Genomes gVCF mapped to hs37d5 for HG00566. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882913.v1
title: gVCF_HG00629

description: 1000 Genomes gVCF mapped to hs37d5 for HG00629. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.18462/iir.rankine.2020.1120
title: Characteristics of blends using ultra-low GWP molecules for application in positive displacement compressor-based systems operating at higher pressures.
DOI: 10.6084/m9.figshare.7882889
title: gVCF_HG00626

description: 1000 Genomes gVCF mapped to hs37d5 for HG00626. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882892
title: gVCF_HG00690

description: 1000 Genomes gVCF mapped to hs37d5 for HG00690. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.12881408
title: SLA_14May2018

description: Gridded SLA data from cds.climate.copernicus.eu for 14 May 2018.
DOI: 10.6084/m9.figshare.12881408.v1
title: SLA_14May2018

description: Gridded SLA data from cds.climate.copernicus.eu for 14 May 2018.
DOI: 10.6084/m9.figshare.7882883
title: gVCF_HG00689

description: 1000 Genomes gVCF mapped to hs37d5 for HG00689. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882886
title: gVCF_HG00560

description: 1000 Genomes gVCF mapped to hs37d5 for HG00560. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882889.v1
title: gVCF_HG00626

description: 1000 Genomes gVCF mapped to hs37d5 for HG00626. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882892.v1
title: gVCF_HG00690

description: 1000 Genomes gVCF mapped to hs37d5 for HG00690. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882895.v1
title: gVCF_HG00565

description: 1000 Genomes gVCF mapped to hs37d5 for HG00565. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882862
title: gVCF_HG00625

description: 1000 Genomes gVCF mapped to hs37d5 for HG00625. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882865
title: gVCF_HG00559

description: 1000 Genomes gVCF mapped to hs37d5 for HG00559. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882883.v1
title: gVCF_HG00689

description: 1000 Genomes gVCF mapped to hs37d5 for HG00689. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882859
title: gVCF_HG00684

description: 1000 Genomes gVCF mapped to hs37d5 for HG00684. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882862.v1
title: gVCF_HG00625

description: 1000 Genomes gVCF mapped to hs37d5 for HG00625. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882865.v1
title: gVCF_HG00559

description: 1000 Genomes gVCF mapped to hs37d5 for HG00559. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882886.v1
title: gVCF_HG00560

description: 1000 Genomes gVCF mapped to hs37d5 for HG00560. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882847
title: gVCF_HG00557

description: 1000 Genomes gVCF mapped to hs37d5 for HG00557. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882853
title: Supplementary Tables for funMotifs: Tissue-specific transcription factor motifs

description: funMotifs is developed to annotate transcription factor motifs using functional annotations.
DOI: 10.6084/m9.figshare.7882856
title: gVCF_HG00683

description: 1000 Genomes gVCF mapped to hs37d5 for HG00683. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882859.v1
title: gVCF_HG00684

description: 1000 Genomes gVCF mapped to hs37d5 for HG00684. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882844
title: gVCF_HG00675

description: 1000 Genomes gVCF mapped to hs37d5 for HG00675. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882850
title: gVCF_HG00623

description: 1000 Genomes gVCF mapped to hs37d5 for HG00623. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882850.v1
title: gVCF_HG00623

description: 1000 Genomes gVCF mapped to hs37d5 for HG00623. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882853.v1
title: Supplementary Tables for funMotifs: Tissue-specific transcription factor motifs

description: funMotifs is developed to annotate transcription factor motifs using functional annotations.
DOI: 10.6084/m9.figshare.7882856.v1
title: gVCF_HG00683

description: 1000 Genomes gVCF mapped to hs37d5 for HG00683. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882838
title: gVCF_HG00622

description: 1000 Genomes gVCF mapped to hs37d5 for HG00622. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882841
title: FASTAsearchFiles

description: Compiled 16S rRNA sequences of known methanotrophs (MOB), hydrogen-oxidizing bacteria, and carbon-monoxide oxidizing bacteria<br>
DOI: 10.6084/m9.figshare.7882844.v1
title: gVCF_HG00675

description: 1000 Genomes gVCF mapped to hs37d5 for HG00675. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882847.v1
title: gVCF_HG00557

description: 1000 Genomes gVCF mapped to hs37d5 for HG00557. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882814
title: gVCF_HG00674

description: 1000 Genomes gVCF mapped to hs37d5 for HG00674. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882820
title: gVCF_HG00556

description: 1000 Genomes gVCF mapped to hs37d5 for HG00556. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882823
title: gVCF_HG00620

description: 1000 Genomes gVCF mapped to hs37d5 for HG00620. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882841.v1
title: FASTAsearchFiles

description: Compiled 16S rRNA sequences of known methanotrophs (MOB), hydrogen-oxidizing bacteria, and carbon-monoxide oxidizing bacteria<br>
DOI: 10.6084/m9.figshare.7882814.v1
title: gVCF_HG00674

description: 1000 Genomes gVCF mapped to hs37d5 for HG00674. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882823.v1
title: gVCF_HG00620

description: 1000 Genomes gVCF mapped to hs37d5 for HG00620. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882838.v1
title: gVCF_HG00622

description: 1000 Genomes gVCF mapped to hs37d5 for HG00622. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882805
title: gVCF_HG00672

description: 1000 Genomes gVCF mapped to hs37d5 for HG00672. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882808
title: gVCF_HG00614

description: 1000 Genomes gVCF mapped to hs37d5 for HG00614. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882808.v1
title: gVCF_HG00614

description: 1000 Genomes gVCF mapped to hs37d5 for HG00614. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882811
title: gVCF_HG00619

description: 1000 Genomes gVCF mapped to hs37d5 for HG00619. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882820.v1
title: gVCF_HG00556

description: 1000 Genomes gVCF mapped to hs37d5 for HG00556. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882784
title: gVCF_HG00613

description: 1000 Genomes gVCF mapped to hs37d5 for HG00613. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882790
title: gVCF_HG00671

description: 1000 Genomes gVCF mapped to hs37d5 for HG00671. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882802
title: gVCF_HG00554

description: 1000 Genomes gVCF mapped to hs37d5 for HG00554. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882805.v1
title: gVCF_HG00672

description: 1000 Genomes gVCF mapped to hs37d5 for HG00672. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882787
title: gVCF_HG00553

description: 1000 Genomes gVCF mapped to hs37d5 for HG00553. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882790.v1
title: gVCF_HG00671

description: 1000 Genomes gVCF mapped to hs37d5 for HG00671. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882802.v1
title: gVCF_HG00554

description: 1000 Genomes gVCF mapped to hs37d5 for HG00554. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882811.v1
title: gVCF_HG00619

description: 1000 Genomes gVCF mapped to hs37d5 for HG00619. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882757
title: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2020 Scenario

description: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2020 Scenario
DOI: 10.6084/m9.figshare.7882784.v1
title: gVCF_HG00613

description: 1000 Genomes gVCF mapped to hs37d5 for HG00613. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882787.v1
title: gVCF_HG00553

description: 1000 Genomes gVCF mapped to hs37d5 for HG00553. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882559
title: gVCF_HG00611

description: 1000 Genomes gVCF mapped to hs37d5 for HG00611. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882568
title: gVCF_HG00551

description: 1000 Genomes gVCF mapped to hs37d5 for HG00551. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882757.v1
title: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2020 Scenario

description: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2020 Scenario
DOI: 10.6084/m9.figshare.7882256
title: gVCF_HG00662

description: 1000 Genomes gVCF mapped to hs37d5 for HG00662. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882559.v1
title: gVCF_HG00611

description: 1000 Genomes gVCF mapped to hs37d5 for HG00611. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882568.v1
title: gVCF_HG00551

description: 1000 Genomes gVCF mapped to hs37d5 for HG00551. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882727
title: gVCF_HG00663

description: 1000 Genomes gVCF mapped to hs37d5 for HG00663. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882727.v1
title: gVCF_HG00663

description: 1000 Genomes gVCF mapped to hs37d5 for HG00663. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881347
title: gVCF_HG00610

description: 1000 Genomes gVCF mapped to hs37d5 for HG00610. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881389
title: gVCF_HG00657

description: 1000 Genomes gVCF mapped to hs37d5 for HG00657. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881389.v1
title: gVCF_HG00657

description: 1000 Genomes gVCF mapped to hs37d5 for HG00657. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881896
title: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2015 Scenario.pdf

description: Hierarchical Task Analysis of Commercial Driving (HTAoCD) for a UK 2015 Scenario
DOI: 10.6084/m9.figshare.7882781.v1
title: VTKL dataset file

description: VTKL dataset, contains documents composed of pictures with five corresponding textual captions for each image. The VTKL dataset is obtained by extending the Flikr30k dataset, designed for visual-textual mention alignment, with links to YAGO ontolgy, one of the largest <em>web knowledge base</em>. These links are obtained automatically by processing each image caption with PIKES, an <em>NLP</em> tool for <em>entity recognition</em> and <em>linking</em>.
DOI: 10.6084/m9.figshare.7881317
title: gVCF_HG00543

description: 1000 Genomes gVCF mapped to hs37d5 for HG00543. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881347.v1
title: gVCF_HG00610

description: 1000 Genomes gVCF mapped to hs37d5 for HG00610. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7882256.v1
title: gVCF_HG00662

description: 1000 Genomes gVCF mapped to hs37d5 for HG00662. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881317.v1
title: gVCF_HG00543

description: 1000 Genomes gVCF mapped to hs37d5 for HG00543. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7881896.v1
title: Hierarchical Task Analysis of Commercial Driving (HTAoCD) - UK 2015 Scenario.pdf

description: Hierarchical Task Analysis of Commercial Driving (HTAoCD) for a UK 2015 Scenario
DOI: 10.6084/m9.figshare.7882781.v2
title: VTKL dataset file

description: VTKL dataset, contains documents composed of pictures with five corresponding textual captions for each image. The VTKL dataset is obtained by extending the Flikr30k dataset, designed for visual-textual mention alignment, with links to YAGO ontolgy, one of the largest <em>web knowledge base</em>. These links are obtained automatically by processing each image caption with PIKES, an <em>NLP</em> tool for <em>entity recognition</em> and <em>linking</em>.
DOI: 10.6084/m9.figshare.7881218
title: Supplementary Table 4

description: Nike treated with pathogen vs Nike non-treated (control) at 48 hpi
DOI: 10.6084/m9.figshare.7881218.v2
title: Supplementary Table 4

description: Nike treated with pathogen vs Nike non-treated (control) at 48 hpi
DOI: 10.6084/m9.figshare.7882781.v3
title: VTKEL: A resource for Visual-Textual-Knowledge Entity Linking

description: VTKL dataset, contains documents composed of pictures with five corresponding textual captions for each image. The VTKL dataset is obtained by extending the Flikr30k dataset, designed for visual-textual mention alignment, with links to YAGO ontolgy, one of the largest <em>web knowledge base</em>. These links are obtained automatically by processing each image caption with PIKES, an <em>NLP</em> tool for <em>entity recognition</em> and <em>linking</em>.
DOI: 10.6084/m9.figshare.7881218.v1
title: Supplementary Table 4.xlsx

description: Differental gene expression Nike versus control after 48 hours<br>
DOI: 10.6084/m9.figshare.7881146
title: Code and summary results for: Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Zip files contain (1) parameter and definition files and scripts and (2) summary-level results.
DOI: 10.6084/m9.figshare.7881251.v3
title: Maternal and Offspring Genetic Risk of Type 2 Diabetes and Offspring Birthweight Among African Ancestry Populations: Supplemental Information

description: Supplemental information of the manuscript -"Maternal and Offspring Genetic Risk of Type 2 Diabetes and Offspring Birthweight Among African Ancestry Populations"<b></b>Mohammad L. Rahman<sup>1,2</sup>, Deepika Shrestha<sup>1</sup>, Tsegaselassie Workalemahu<sup>1</sup>, Jing Wu<sup>3</sup>, Chunming Zhu<sup>3</sup>, Cuilin Zhang<sup>1</sup>, Fasil Tekola-Ayele<sup>1*</sup> <sup> </sup> <sup>1 </sup>Epidemiology Branch, Division of Intramural Population Health Research, <i>Eunice Kennedy Shriver</i> National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA <sup>2</sup> Current affiliation: Harvard Medical School, Department of Population Medicine and Harvard Pilgrim Health Care Institute <sup>3 </sup>Division of Intramural Population Health Research, <i>Eunice Kennedy Shriver</i> National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
DOI: 10.6084/m9.figshare.7882781.v4
title: VTKEL: A resource for Visual-Textual-Knowledge Entity Linking

description: VTKL dataset, contains documents composed of pictures with five corresponding textual captions for each image. The VTKL dataset is obtained by extending the Flikr30k dataset, designed for visual-textual mention alignment, with links to YAGO ontolgy, one of the largest <em>web knowledge base</em>. These links are obtained automatically by processing each image caption with PIKES, an <em>NLP</em> tool for <em>entity recognition</em> and <em>linking</em>.
DOI: 10.6084/m9.figshare.7881059
title: Ricardo Henriques talk at University of Birmingham 2019 - Democratising Live-Cell Compatible High-Speed Super-Resolution Microscopy

description: A copy of my lecture at University of Birmingham in 2019 titled "Democratising Live-Cell Compatible High-Speed Super-Resolution Microscopy". This recent publication highlights a large portion of the work shown in the presentation: https://iopscience.iop.org/article/10.1088/1361-6463/ab0261/meta
DOI: 10.6084/m9.figshare.7881062
title: Biomechanical property data.xlsx

description: This is the dataset associated with the paper: <br>Biomechanical properties of marsh vegetation in space and time: effects of salinity, inundation and seasonality <br>Journal: Annals of Botany <br><br>For more questions, please contact zhenchang.zhu@gdut.edu.cn
DOI: 10.6084/m9.figshare.7881101
title: Avian influenza knowledge study

description: Physicians from 50 hospitals in Tianjin, China, were asked about their knowledge of avian influenza.
DOI: 10.6084/m9.figshare.7881101.v1
title: Avian influenza knowledge study

description: Physicians from 50 hospitals in Tianjin, China, were asked about their knowledge of avian influenza.
DOI: 10.6084/m9.figshare.7880999.v1
title: Supplementary Figures S1-S3

description: Supplementary figures showing associations of mitochondrial respiration in white adipose, liver, and skeletal muscle, with body weight change and fiber CSA from a study of colon-26 tumor-induced cachexia.
DOI: 10.6084/m9.figshare.7880678
title: Functional group contributions to carbon fluxes in arctic-alpine ecosystems

description: Ongoing responses to climate change in arctic-alpine ecosystems, including the increasing dominance of deciduous shrubs, involve major shifts in plant functional group composition. Because rates of photosynthesis and respiration and their responses to temperature may vary among plant functional groups, a better understanding of their contributions to carbon fluxes will help improve predictions of how ecosystem changes will affect carbon source-sink relations in globally important tundra regions. We used a sequential harvest method to estimate growing season functional group contributions to net ecosystem exchange (NEE), ecosystem respiration (ER), and gross photosynthesis (GP) in alpine heath-, meadow-, and <i>Salix</i>-dominated shrub communities. We also partitioned ER into aboveground and belowground components in all three communities. Belowground efflux was the dominant component of ER in the heath and meadow communities (63 percent and 88 percent of ER, respectively) but contributed only approximately 40 percent of ER in the shrub community. The dominant functional group in each community contributed most to aboveground exchanges. Estimates for cryptogams were uncertain, but indicated a minor role for bryophytes and lichens in overall exchange. The results of our novel method of partitioning gas-exchange measurements suggest strong differences in the relative proportions of soil versus aboveground respiration and in the contributions of different functional groups in the net carbon exchange of three important arctic-alpine community types, with implications for changes in carbon dynamics as these systems respond to environmental change.