cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11483385
title: Summary transcript of Key informant interviews.docx

description: Summary transcript of key informant interviews
DOI: 10.6084/m9.figshare.11482887
title: Bactrain Camel Raw Data.xls

description: This data provides references about the Bactrian camel species living in China and Inner Mongolia. <br>
DOI: 10.6084/m9.figshare.11482794
title: A weakening nitrogen sensitivity of plant productivity over four decades (1976-2016) in a Tibetan alpine grassland

description: We conducted a four-level N addition experiment over 2011-2016 in a Tibetan alpine grassland, and collected data of aboveground net primary productivity (ANPP) from other five N addition experiments at the same site but different time periods over 1976-2012. Nitrogen response efficiency (ANPP response per unit N addition) generated from these six experiments was quantified to test the N sensitivity of plant productivity. Syntheses of these six experiments revealed that ANPP displayed a linear-plateau response to N addition and saturated at 9.3 g N m<sup>-2 </sup>yr<sup>-1</sup>. N response efficiency was significantly affected by mean annual temperature and monthly precipitation at the key growing stage (i.e., leaf-out phase in April and fast-growing phase in June), and decreased over the past four decades by a rate of -0.68 g g<sup>-1</sup> N yr<sup>-1</sup>. Such a decrease in N response efficiency was likely due to the consequences of improving soil nutrient availability, aggravating water limitation and shifting plant species composition along with global change. Our study highlighted that temporal shifting in ecosystem processes and driving factors on plant productivity should be considered in modelling to project carbon and N cycling under global change scenarios.Fig. 1 Responses of aboveground net primary productivity (ANPP, a) and N response efficiency (NRE, b) to N addition in our own manipulative experiment over 2011-2016.Fig. 2 Responses of aboveground net primary productivity (ANPP) to N addition (a) and changes in N response efficiency (NRE, b) across the six N addition experiments spanning from 1976 to 2016 at the Haibei station.<br>Fig. 3 A closing ANPP gap (the grey area) between the ambient (ANPP<sub>ambient</sub>) and upper boundary of varied N additions (ANPP<sub>upper</sub>) over 1976-2016 in a Tibetan alpine grassland. The solid line indicates a significant exponential increase in ANPP<sub>ambient</sub> and the dash line represents a stable level of ANPP<sub>upper</sub>. ANPP<sub>upper</sub>, the top 10 percentile of ANPP<sub>N</sub> observed under varied N additions (Fig. S2); and ANPP<sub>ambient</sub>, ANPP from the control of the six N addition experiments and the long-term monitoring study.<br>Fig. 4 Changes in climate, soil nutrients and plant functional group composition over 1976-2016 in a Tibetan alpine grassland. (a-c) MAT (mean annual temperature) and MAP (mean annual precipitation), and humidity index; (d-f) soil total N, Olsen-P and pH in the 0-10 cm; (g-i) relative abundance of grass, sedge and forb in plant community biomass. <br>
DOI: 10.6084/m9.figshare.11482686
title: SH2BindingData_Ronan_Naegle.zip

description: Datasets, including raw, intermediates, and final outputs of the re-evaluation of data from SH2-phosphotyrosine binding experiments of the publications listed below with characterization of all replicate-level information. All code available at: https://github.com/NaegleLab/SH2fp1. K. K. Leung, R. J. Hause, J. L. Barkinge, M. F. Ciaccio, C.-P. Chuu, R. B. Jones, Enhanced prediction of Src homology 2 (SH2) domain binding potentials using a fluorescence polarization-derived c-Met, c-Kit, ErbB, and androgen receptor interactome. <i>Mol. Cell. Proteomics</i>. <b>13</b>, 1705–23 (2014).2. R. J. Hause, K. K. Leung, J. L. Barkinge, M. F. Ciaccio, C. Chuu, R. B. Jones, Comprehensive Binary Interaction Mapping of SH2 Domains via Fluorescence Polarization Reveals Novel Functional Diversification of ErbB Receptors. <i>PLoS One</i>. <b>7</b>, e44471 (2012).
DOI: 10.6084/m9.figshare.11482794.v1
title: A weakening nitrogen sensitivity of plant productivity over four decades (1976-2016) in a Tibetan alpine grassland

description: We conducted a four-level N addition experiment over 2011-2016 in a Tibetan alpine grassland, and collected data of aboveground net primary productivity (ANPP) from other five N addition experiments at the same site but different time periods over 1976-2012. Nitrogen response efficiency (ANPP response per unit N addition) generated from these six experiments was quantified to test the N sensitivity of plant productivity. Syntheses of these six experiments revealed that ANPP displayed a linear-plateau response to N addition and saturated at 9.3 g N m<sup>-2 </sup>yr<sup>-1</sup>. N response efficiency was significantly affected by mean annual temperature and monthly precipitation at the key growing stage (i.e., leaf-out phase in April and fast-growing phase in June), and decreased over the past four decades by a rate of -0.68 g g<sup>-1</sup> N yr<sup>-1</sup>. Such a decrease in N response efficiency was likely due to the consequences of improving soil nutrient availability, aggravating water limitation and shifting plant species composition along with global change. Our study highlighted that temporal shifting in ecosystem processes and driving factors on plant productivity should be considered in modelling to project carbon and N cycling under global change scenarios.Fig. 1 Responses of aboveground net primary productivity (ANPP, a) and N response efficiency (NRE, b) to N addition in our own manipulative experiment over 2011-2016.Fig. 2 Responses of aboveground net primary productivity (ANPP) to N addition (a) and changes in N response efficiency (NRE, b) across the six N addition experiments spanning from 1976 to 2016 at the Haibei station.<br>Fig. 3 A closing ANPP gap (the grey area) between the ambient (ANPP<sub>ambient</sub>) and upper boundary of varied N additions (ANPP<sub>upper</sub>) over 1976-2016 in a Tibetan alpine grassland. The solid line indicates a significant exponential increase in ANPP<sub>ambient</sub> and the dash line represents a stable level of ANPP<sub>upper</sub>. ANPP<sub>upper</sub>, the top 10 percentile of ANPP<sub>N</sub> observed under varied N additions (Fig. S2); and ANPP<sub>ambient</sub>, ANPP from the control of the six N addition experiments and the long-term monitoring study.<br>Fig. 4 Changes in climate, soil nutrients and plant functional group composition over 1976-2016 in a Tibetan alpine grassland. (a-c) MAT (mean annual temperature) and MAP (mean annual precipitation), and humidity index; (d-f) soil total N, Olsen-P and pH in the 0-10 cm; (g-i) relative abundance of grass, sedge and forb in plant community biomass. <br>
DOI: 10.6084/m9.figshare.11482686.v2
title: SH2BindingData_Ronan_Naegle.zip

description: Datasets, including raw, intermediates, and final outputs of the re-evaluation of data from SH2-phosphotyrosine binding experiments of the publications listed below with characterization of all replicate-level information. All code available at: https://github.com/NaegleLab/SH2fp1. K. K. Leung, R. J. Hause, J. L. Barkinge, M. F. Ciaccio, C.-P. Chuu, R. B. Jones, Enhanced prediction of Src homology 2 (SH2) domain binding potentials using a fluorescence polarization-derived c-Met, c-Kit, ErbB, and androgen receptor interactome. <i>Mol. Cell. Proteomics</i>. <b>13</b>, 1705–23 (2014).2. R. J. Hause, K. K. Leung, J. L. Barkinge, M. F. Ciaccio, C. Chuu, R. B. Jones, Comprehensive Binary Interaction Mapping of SH2 Domains via Fluorescence Polarization Reveals Novel Functional Diversification of ErbB Receptors. <i>PLoS One</i>. <b>7</b>, e44471 (2012).
DOI: 10.6084/m9.figshare.11482566
title: EnergyFluxes_JGR_2019.mat

description: This dataset is presented in the paper submitted to Journal of Geophysical Research-Atmospheres: Hysteresis Behavior of Surface Water Fluxes in a Hydrologic Transition of an Ephemeral Lake. This dataset includes all the measured data used in the paper. For the detailed data description, please refer to the paper.<br>
DOI: 10.6084/m9.figshare.11482566.v1
title: EnergyFluxes_JGR_2019.mat

description: This dataset is presented in the paper submitted to Journal of Geophysical Research-Atmospheres: Hysteresis Behavior of Surface Water Fluxes in a Hydrologic Transition of an Ephemeral Lake. This dataset includes all the measured data used in the paper. For the detailed data description, please refer to the paper.<br>
DOI: 10.6084/m9.figshare.11481810
title: Metadata record for: PIC, a paediatric-specific intensive care database

description: This dataset contains key characteristics about the data described in the Data Descriptor PIC, a paediatric-specific intensive care database. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11481810.v2
title: Metadata record for: PIC, a paediatric-specific intensive care database

description: This dataset contains key characteristics about the data described in the Data Descriptor PIC, a paediatric-specific intensive care database. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br><br>Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.11481810.v1
title: Metadata record for: PIC, a paediatric-specific intensive care database

description: This dataset contains key characteristics about the data described in the Data Descriptor PIC, a paediatric-specific intensive care database. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11481738
title: Supplemental Table S6

description: Supplemental Table S6
DOI: 10.6084/m9.figshare.11481738.v1
title: Supplemental Table S6

description: Supplemental Table S6
DOI: 10.6084/m9.figshare.11481726
title: Supplemental Table S4

description: Supplemental Table S4
DOI: 10.6084/m9.figshare.11481732
title: Supplemental Table S5

description: Supplemental Table S5
DOI: 10.6084/m9.figshare.11481732.v1
title: Supplemental Table S5

description: Supplemental Table S5
DOI: 10.6084/m9.figshare.11481726.v1
title: Supplemental Table S4

description: Supplemental Table S4
DOI: 10.6084/m9.figshare.11481720
title: Supplemental Table S2

description: Supplemental Table S2
DOI: 10.6084/m9.figshare.11481723
title: Supplemental Table S3

description: Supplemental Table S3
DOI: 10.6084/m9.figshare.11481720.v1
title: Supplemental Table S2

description: Supplemental Table S2
DOI: 10.6084/m9.figshare.11481717
title: Supplemental Table S1

description: Supplemental Table S1
DOI: 10.6084/m9.figshare.11481717.v1
title: Supplemental Table S1

description: Supplemental Table S1
DOI: 10.6084/m9.figshare.11481699
title: Molecular pathogenic and host range determinants of reassortant Egyptian low pathogenic avian influenza H9N2 viruses from backyard chicken

description: Since the introduction of H9N2 low pathogenic avian influenza virus in Egypt, it became an endemic disease causing considerable economic losses in different poultry sectors especially in the presence of other secondary bacterial and viral infections. The H9N2 viruses in Egypt are in continuous evolution that needs deep analysis for their evolution pattern based on the genetic constitutions of the pathogenic determinant genes (HA, PB2, PB1, PA, and NS). In this work, samples were collected from the backyard chickens from 3 Egyptian governorates. Five selected viruses were sequenced and analyzed for the hemagglutinin gene which showed genetic relatedness to the Asian G1 lineage group B, similar to the circulating H9N2 viruses in Egypt since 2013. The sequence for PB2, PB1, PA, HA and NS genes of the selected five viruses indicate a natural re-assortment event with recent Eurasian subtypes and similar to Egyptian H9N2 virus isolated from pigeon in Egypt during 2014. The Egyptian viruses of our study possess amino acids signatures including S42, V127, L550, L672 and V504 in the internal genes NS1, PA, and PB2, of respectively of an impact on virus transmission and replication. This work indicates that the H9N2 is in continuous evolution with alarming to the reassortment occurrence.
DOI: 10.6084/m9.figshare.11481699.v1
title: Molecular pathogenic and host range determinants of reassortant Egyptian low pathogenic avian influenza H9N2 viruses from backyard chicken

description: Since the introduction of H9N2 low pathogenic avian influenza virus in Egypt, it became an endemic disease causing considerable economic losses in different poultry sectors especially in the presence of other secondary bacterial and viral infections. The H9N2 viruses in Egypt are in continuous evolution that needs deep analysis for their evolution pattern based on the genetic constitutions of the pathogenic determinant genes (HA, PB2, PB1, PA, and NS). In this work, samples were collected from the backyard chickens from 3 Egyptian governorates. Five selected viruses were sequenced and analyzed for the hemagglutinin gene which showed genetic relatedness to the Asian G1 lineage group B, similar to the circulating H9N2 viruses in Egypt since 2013. The sequence for PB2, PB1, PA, HA and NS genes of the selected five viruses indicate a natural re-assortment event with recent Eurasian subtypes and similar to Egyptian H9N2 virus isolated from pigeon in Egypt during 2014. The Egyptian viruses of our study possess amino acids signatures including S42, V127, L550, L672 and V504 in the internal genes NS1, PA, and PB2, of respectively of an impact on virus transmission and replication. This work indicates that the H9N2 is in continuous evolution with alarming to the reassortment occurrence.
DOI: 10.6084/m9.figshare.11481144
title: Vs_eachpoint_2

description: Shear wave velocity from nonlinear inversion at each grid point.
DOI: 10.6084/m9.figshare.11481144.v1
title: Vs_eachpoint_2

description: Shear wave velocity from nonlinear inversion at each grid point.
DOI: 10.6084/m9.figshare.11481015
title: MOESM1 of Costs and effects of interventions targeting frequent presenters to the emergency department: a systematic and narrative review

description: Additional file 1: Risk of Bias Assessment.
DOI: 10.6084/m9.figshare.11481015.v1
title: MOESM1 of Costs and effects of interventions targeting frequent presenters to the emergency department: a systematic and narrative review

description: Additional file 1: Risk of Bias Assessment.
DOI: 10.6084/m9.figshare.11481000
title: MOESM4 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 4: The table of top 10 ranking genes on LUSC datasets.
DOI: 10.6084/m9.figshare.11481000.v1
title: MOESM4 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 4: The table of top 10 ranking genes on LUSC datasets.
DOI: 10.6084/m9.figshare.11480994
title: MOESM3 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 3: The table of top 10 ranking genes on KIRC datasets.
DOI: 10.6084/m9.figshare.11480994.v1
title: MOESM3 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 3: The table of top 10 ranking genes on KIRC datasets.
DOI: 10.6084/m9.figshare.11480988
title: MOESM2 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 2: A list of top100 candidate-driver genes of three datasets (BRCA, KIRC, LUSC).
DOI: 10.6084/m9.figshare.11480982
title: MOESM1 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 1: A list of 616 cancer genes from Cancer Gene Census (CGC, 09/26/2016).
DOI: 10.6084/m9.figshare.11480988.v1
title: MOESM2 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 2: A list of top100 candidate-driver genes of three datasets (BRCA, KIRC, LUSC).
DOI: 10.6084/m9.figshare.11480982.v1
title: MOESM1 of MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks

description: Additional file 1: A list of 616 cancer genes from Cancer Gene Census (CGC, 09/26/2016).
DOI: 10.6084/m9.figshare.11480856
title: MOESM7 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 7: Table S4. Segmental duplication of TaMYC genes
DOI: 10.6084/m9.figshare.11480856.v1
title: MOESM7 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 7: Table S4. Segmental duplication of TaMYC genes
DOI: 10.6084/m9.figshare.11480844
title: MOESM5 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 5: Table S2. Numbers of cis-regulatory elements in the upstream promoter regions of TaMYC genes
DOI: 10.6084/m9.figshare.11480844.v1
title: MOESM5 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 5: Table S2. Numbers of cis-regulatory elements in the upstream promoter regions of TaMYC genes
DOI: 10.6084/m9.figshare.11480835
title: MOESM4 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 4: Table S1. The primers used in this study
DOI: 10.6084/m9.figshare.11480835.v1
title: MOESM4 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 4: Table S1. The primers used in this study
DOI: 10.6084/m9.figshare.11480829
title: MOESM3 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 3: File S1. Promoter sequences of MYC gene copies
DOI: 10.6084/m9.figshare.11480829.v1
title: MOESM3 of Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)

description: Additional file 3: File S1. Promoter sequences of MYC gene copies
DOI: 10.5519/qd.5zp9hsb0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (20147 records)
DOI: 10.6084/m9.figshare.11480769
title: MOESM1 of Benchmarking the PEPOP methods for mimicking discontinuous epitopes

description: Additional file 1: Table S1. The 75 antigen-monoclonal antibody complexes.
DOI: 10.6084/m9.figshare.11480769.v1
title: MOESM1 of Benchmarking the PEPOP methods for mimicking discontinuous epitopes

description: Additional file 1: Table S1. The 75 antigen-monoclonal antibody complexes.
DOI: 10.6084/m9.figshare.11480742
title: MOESM6 of Long-term impact of fecal transplantation in healthy volunteers

description: Additional file 6 Additional file 6: Table S2 Adverse effects after FMT in healthy volunteers (scored by Common Terminology Criteria for Adverse Events (CTCAE) Version 5.0.) Additional file 6: Table S3 Sequencing and general statistics. Additional file 6: Table S4 Relative abundance of microbial genera and viruses in the WGS metagenomes. Additional file 6: Table S5 MAGs assembly and taxonomic annotation statistics.
DOI: 10.6084/m9.figshare.11480742.v1
title: MOESM6 of Long-term impact of fecal transplantation in healthy volunteers

description: Additional file 6 Additional file 6: Table S2 Adverse effects after FMT in healthy volunteers (scored by Common Terminology Criteria for Adverse Events (CTCAE) Version 5.0.) Additional file 6: Table S3 Sequencing and general statistics. Additional file 6: Table S4 Relative abundance of microbial genera and viruses in the WGS metagenomes. Additional file 6: Table S5 MAGs assembly and taxonomic annotation statistics.
DOI: 10.6084/m9.figshare.11480661
title: MOESM1 of Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course

description: Additional file 1. Figure S1: 3D PDF of the kidney tumor model. Figure S2: 3D PDF of the mandible tumor model. Figure S3: 3D PDF of the pelvic fracture model.
DOI: 10.6084/m9.figshare.11480661.v1
title: MOESM1 of Creating patient-specific anatomical models for 3D printing and AR/VR: a supplement for the 2018 Radiological Society of North America (RSNA) hands-on course

description: Additional file 1. Figure S1: 3D PDF of the kidney tumor model. Figure S2: 3D PDF of the mandible tumor model. Figure S3: 3D PDF of the pelvic fracture model.
DOI: 10.5519/qd.3db9x77l
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (589 records)
DOI: 10.6084/m9.figshare.11480646
title: MOESM1 of The transcriptomic signature of low aggression in honey bees resembles a response to infection

description: Additional file 1. This file contains complete lists of differentially expressed genes in the brain (Table S1), fat body (Table S2), and midgut (Table S3), GO term lists in the brain (Table S4) and fat body (Table S5), pathogen data for the brain (Table S6), fat body (Table S7), and midgut (Table S8), and data accession numbers (Table S9).
DOI: 10.6084/m9.figshare.11480646.v1
title: MOESM1 of The transcriptomic signature of low aggression in honey bees resembles a response to infection

description: Additional file 1. This file contains complete lists of differentially expressed genes in the brain (Table S1), fat body (Table S2), and midgut (Table S3), GO term lists in the brain (Table S4) and fat body (Table S5), pathogen data for the brain (Table S6), fat body (Table S7), and midgut (Table S8), and data accession numbers (Table S9).
DOI: 10.6084/m9.figshare.11480601
title: MOESM3 of ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks

description: Additional file 3 Tutorial, including: ManiNetCluster Tutorial.
DOI: 10.6084/m9.figshare.11480601.v1
title: MOESM3 of ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks

description: Additional file 3 Tutorial, including: ManiNetCluster Tutorial.
DOI: 10.6084/m9.figshare.11480589
title: MOESM1 of ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks

description: Additional file 1 Tables, including: Table S1 Module data generated by ManiNetCluster. Table S2 ManiNetCluster module statistics.
DOI: 10.6084/m9.figshare.11480589.v1
title: MOESM1 of ManiNetCluster: a novel manifold learning approach to reveal the functional links between gene networks

description: Additional file 1 Tables, including: Table S1 Module data generated by ManiNetCluster. Table S2 ManiNetCluster module statistics.