cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12246455
title: Additional file 8 of High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

description: Additional file 8. Raw dataset. LiMu image analysis output.
DOI: 10.6084/m9.figshare.12246455.v1
title: Additional file 8 of High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

description: Additional file 8. Raw dataset. LiMu image analysis output.
DOI: 10.6084/m9.figshare.12246419
title: Additional file 3 of High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

description: Additional file 3. IMAGEJ macro for leaf area and damage quantification.
DOI: 10.6084/m9.figshare.12246419.v1
title: Additional file 3 of High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

description: Additional file 3. IMAGEJ macro for leaf area and damage quantification.
DOI: 10.6084/m9.figshare.12246341
title: Insights into paediatric tube feeding dependence: A Speech-language pathology perspective

description: <i>Purpose:</i> To explore possible factors contributing to paediatric tube feeding dependency from the speech-language pathology perspective. Tube feeding dependency can have serious repercussions for children and their families with failed or slow weaning/transitioning from tube to oral feeding, more likely after the age of five. <i>Method:</i> A mixed methods approach was conducted. During the first quantitative phase, an online national survey of speech-language pathologists (SLPs) from the health and non-health sectors was carried out followed by interviews with a subset of the respondents. Forty-three SLPs completed the survey. In the second qualitative phase, 10 participants from the survey were interviewed in depth as to their opinions about why tube dependency occurs. Survey data from phase one were analysed using descriptive statistics and chi square comparisons. Interview data were categorised using thematic analysis. Findings from both methodologies were combined to report the results. <i>Result:</i> Two interlinking meta-themes were identified from the combined data sets. These were: (1) <i>Medicalisation of tube fed children in infancy as a root cause of tube feeding dependency</i> and (2) <i>Fragmentation of the tube fed child’s continuity of care</i>. The specific results indicated several possible reasons for tube feeding dependency including medical emphasis on weight gain, prolonged nasogastric tube feeding and waiting too long for transition from tube to oral feeding. A lack of integrated care and clinician confidence in non-health settings also appeared to be a factor contributing to tube feeding dependency. <i>Conclusion:</i> Early and ongoing biomedical focus on weight gain affected long-term goals for transitioning leading, subsequently, to tube feeding becoming normalised by school age.
DOI: 10.6084/m9.figshare.12246350
title: sonde_launch_20200501

description: 1 second hexadecimal iMet data from Colorado launch on 01 May 2020<br>Documentation here:ftp://aftp.cmdl.noaa.gov/user/jordan/iMet Radiosonde%20Protocol.pdf<br>
DOI: 10.6084/m9.figshare.12246341.v1
title: Insights into paediatric tube feeding dependence: A Speech-language pathology perspective

description: <i>Purpose:</i> To explore possible factors contributing to paediatric tube feeding dependency from the speech-language pathology perspective. Tube feeding dependency can have serious repercussions for children and their families with failed or slow weaning/transitioning from tube to oral feeding, more likely after the age of five. <i>Method:</i> A mixed methods approach was conducted. During the first quantitative phase, an online national survey of speech-language pathologists (SLPs) from the health and non-health sectors was carried out followed by interviews with a subset of the respondents. Forty-three SLPs completed the survey. In the second qualitative phase, 10 participants from the survey were interviewed in depth as to their opinions about why tube dependency occurs. Survey data from phase one were analysed using descriptive statistics and chi square comparisons. Interview data were categorised using thematic analysis. Findings from both methodologies were combined to report the results. <i>Result:</i> Two interlinking meta-themes were identified from the combined data sets. These were: (1) <i>Medicalisation of tube fed children in infancy as a root cause of tube feeding dependency</i> and (2) <i>Fragmentation of the tube fed child’s continuity of care</i>. The specific results indicated several possible reasons for tube feeding dependency including medical emphasis on weight gain, prolonged nasogastric tube feeding and waiting too long for transition from tube to oral feeding. A lack of integrated care and clinician confidence in non-health settings also appeared to be a factor contributing to tube feeding dependency. <i>Conclusion:</i> Early and ongoing biomedical focus on weight gain affected long-term goals for transitioning leading, subsequently, to tube feeding becoming normalised by school age.
DOI: 10.6084/m9.figshare.12246350.v1
title: sonde_launch_20200501

description: 1 second hexadecimal iMet data from Colorado launch on 01 May 2020<br>Documentation here:ftp://aftp.cmdl.noaa.gov/user/jordan/iMet Radiosonde%20Protocol.pdf<br>
DOI: 10.6084/m9.figshare.12246332
title: Gross Primary Production Modelling from Satellite Solar-Induced Chlorophyll Fluorescence Data

description: These datasets contain terrestrial gross primary production (GPP) estimated from solar-induced chlorophyll fluorescence (SIF).<br>
DOI: 10.6084/m9.figshare.12246332.v1
title: Gross Primary Production Modelling from Satellite Solar-Induced Chlorophyll Fluorescence Data

description: These datasets contain terrestrial gross primary production (GPP) estimated from solar-induced chlorophyll fluorescence (SIF).<br>
DOI: 10.6084/m9.figshare.12246302
title: Phylogenetic tree supporting data

description: Phylogenetic network of 24 SARS-CoV-2 genomes from most of the representative countries used in the study determining the relationship between BCG vaccination and Covid-19 prevalence.
DOI: 10.6084/m9.figshare.12246302.v1
title: Phylogenetic tree supporting data

description: Phylogenetic network of 24 SARS-CoV-2 genomes from most of the representative countries used in the study determining the relationship between BCG vaccination and Covid-19 prevalence.
DOI: 10.6084/m9.figshare.12246218
title: EEG data

description: The present item contains the EEG data of the 48 subjects included in the manuscript
DOI: 10.6084/m9.figshare.12246032
title: S.cerevisiae core PPIs

description: S.cerevisiae core PPIs
DOI: 10.6084/m9.figshare.12246011
title: Genes characterized in the B. orbignyanus genome

description: File containing the list of genes characterized in genomic annotation for B. orbignyanus, from sequences above 10 kb extracted from a larger genomic assembly.<br>
DOI: 10.6084/m9.figshare.12246011.v1
title: Genes characterized in the B. orbignyanus genome

description: File containing the list of genes characterized in genomic annotation for B. orbignyanus, from sequences above 10 kb extracted from a larger genomic assembly.<br>
DOI: 10.6084/m9.figshare.12246032.v1
title: S.cerevisiae core PPIs

description: S.cerevisiae core PPIs
DOI: 10.6084/m9.figshare.12246032.v3
title: S.cerevisiae core PPIs

description: S.cerevisiae core PPIs
DOI: 10.6084/m9.figshare.12246032.v2
title: S.cerevisiae core PPIs

description: S.cerevisiae core PPIs
DOI: 10.6084/m9.figshare.12245906
title: HIV testing rapid results initiative 2017

description: This data set contains the raw data for total number of patients tested, number testing positive, HIV positivity, number enrolled into HIV care, number started on anti-retroviral therapy, number not linked to care and the geocodes of the nearest landmarks to their residences.
DOI: 10.6084/m9.figshare.12245906.v2
title: HIV testing rapid results initiative 2017

description: This data set contains the raw data for total number of patients tested, number testing positive, HIV positivity, number enrolled into HIV care, number started on anti-retroviral therapy, number not linked to care and the geocodes of the nearest landmarks to their residences.
DOI: 10.6084/m9.figshare.12245906.v1
title: RRI_ALL_Facilities_2017.csv

description: This data set contains the raw data for total number of patients tested, number testing positive, HIV positivity, number enrolled into HIV care, number started on anti-retroviral therapy, number not linked to care and the geocodes of the nearest landmarks to their residences.
DOI: 10.6084/m9.figshare.12245660
title: Fig5_pvalue_614TGF_subset

description: Results shown in Figure 5 for the 614-TGF-subset<br>
DOI: 10.6084/m9.figshare.12245666
title: Fig5_pvalue_all1341TGF

description: Results shown in Figure 5 for all 1341 TGFs<br>
DOI: 10.6084/m9.figshare.12245660.v1
title: Fig5_pvalue_614TGF_subset

description: Results shown in Figure 5 for the 614-TGF-subset<br>
DOI: 10.6084/m9.figshare.12245666.v2
title: Fig5_pvalue_all1341TGF

description: Results shown in Figure 5 for all 1341 TGFs<br>
DOI: 10.6084/m9.figshare.12245666.v1
title: Untitled Item

description: Results shown in Figure 5 for all 1341 TGFs<br>
DOI: 10.6084/m9.figshare.12245366
title: Dataset for C57BL/6 mice related to "Rapid decay in fast delta following prolonged wakefulness marks a phase of wake-inertia in NREM sleep"

description: This dataset includes 38 binary files for C57BL/6 mice containing sleep/wake scores, power spectra, EEG/EMG variance, and in a subset, cortical temperature. Also included are raw EEG traces for 37 of these mice. Matlab scripts to read both file formats, a data descriptor of the programs included, as well as an algorithm for detecting slow-waves, is included. Data represents 48h of baseline recordings, followed by a 6h sleep deprivation, and 42h of recovery, for a total of 96h. See data_descriptor.pdf for more information.<br><br>
DOI: 10.6084/m9.figshare.12245354
title: BC Wildfire Media Data 2010 - 2018.xlsx

description: Dataset: Media coverage of wildfires from 4 news sources in British Columbia (CBC BC, The Vancouver Sun, Georgia Straight, and The Prince George Citizen) between 2010 and 2018.
DOI: 10.6084/m9.figshare.12245258
title: Table S2: Raw synchrotron-based FTIR microspectroscopy data from Aluminosilicate haloes preserve complex life approximately 800 million years ago

description: Raw synchrotron-based FTIR microspectroscopy data.
DOI: 10.6084/m9.figshare.12245258.v1
title: Table S2: Raw synchrotron-based FTIR microspectroscopy data from Aluminosilicate haloes preserve complex life approximately 800 million years ago

description: Raw synchrotron-based FTIR microspectroscopy data.
DOI: 10.6084/m9.figshare.12241991
title: Spring wildflower phenology and pollinator activity respond similarly to climatic variation in an eastern hardwood forest

description: Climate warming could disrupt species interactions if organisms’ phenologies respond to climate change at different rates. Phenologies of plants and insects can be sensitive to temperature and timing of snowmelt; however, many important pollinators including ground-nesting bees have been little studied in this context. Without knowledge of the environmental cues affecting phenologies of co-occurring species, we have little ability to predict how species assemblages, and species interactions, will be affected by climate change. Here, we studied a hardwood forest understory over six years, to determine how spring temperatures, snowmelt timing, and photoperiod influence the phenology of two spring wildflowers (<i>Anemone</i> spp. and <i>Trillium grandiflorum</i>), activity of ground-nesting bees, and their temporal overlap. Surface degree-day accumulation was a better predictor of phenology for <i>Anemone</i> spp. (plant) and <i>Nomada</i> (bees) than were day of year (a proxy for photoperiod) or snowmelt date, whereas <i>Trillium</i> flowering appeared most sensitive to photoperiodic cues. Activity periods of <i>Andrena</i> and <i>Lasioglossum </i>bees<i> </i>were equally well described by degree-day accumulation and day of year. No taxon’s phenology was best predicted by snowmelt date. Despite these differences among taxa in their phenological responses, timing of bee activity and flowering responded similarly to variation in snowmelt date and early spring temperatures. Furthermore, temporal overlap between flowering and bee activity was similar over the years of this study and was unaffected by variability in snowmelt date or temperature. Nevertheless, the differences among some taxa in their phenological responses suggests that diverging temporal shifts are a possibility for the future.
DOI: 10.6084/m9.figshare.12241991.v1
title: Spring wildflower phenology and pollinator activity respond similarly to climatic variation in an eastern hardwood forest

description: Climate warming could disrupt species interactions if organisms’ phenologies respond to climate change at different rates. Phenologies of plants and insects can be sensitive to temperature and timing of snowmelt; however, many important pollinators including ground-nesting bees have been little studied in this context. Without knowledge of the environmental cues affecting phenologies of co-occurring species, we have little ability to predict how species assemblages, and species interactions, will be affected by climate change. Here, we studied a hardwood forest understory over six years, to determine how spring temperatures, snowmelt timing, and photoperiod influence the phenology of two spring wildflowers (<i>Anemone</i> spp. and <i>Trillium grandiflorum</i>), activity of ground-nesting bees, and their temporal overlap. Surface degree-day accumulation was a better predictor of phenology for <i>Anemone</i> spp. (plant) and <i>Nomada</i> (bees) than were day of year (a proxy for photoperiod) or snowmelt date, whereas <i>Trillium</i> flowering appeared most sensitive to photoperiodic cues. Activity periods of <i>Andrena</i> and <i>Lasioglossum </i>bees<i> </i>were equally well described by degree-day accumulation and day of year. No taxon’s phenology was best predicted by snowmelt date. Despite these differences among taxa in their phenological responses, timing of bee activity and flowering responded similarly to variation in snowmelt date and early spring temperatures. Furthermore, temporal overlap between flowering and bee activity was similar over the years of this study and was unaffected by variability in snowmelt date or temperature. Nevertheless, the differences among some taxa in their phenological responses suggests that diverging temporal shifts are a possibility for the future.
DOI: 10.6084/m9.figshare.12241727
title: Data for "A Novel Approach to Predicting Exceptional Growth in Research"

description: These data were used to calculate values given in the paper "A novel approach to predicting exceptional growth in research" by Richard Klavans, Kevin W. Boyack & Dewey A. Murdick.<br>Preprint is available at https://arxiv.org/abs/2004.13159. Additional explanation about the fields above can be found in the paper.<br>Data are provided to enable replication of key results.<br>
DOI: 10.6084/m9.figshare.12241727.v1
title: Data for "A Novel Approach to Predicting Exceptional Growth in Research"

description: These data were used to calculate values given in the paper "A novel approach to predicting exceptional growth in research" by Richard Klavans, Kevin W. Boyack & Dewey A. Murdick.<br>Preprint is available at https://arxiv.org/abs/2004.13159. Additional explanation about the fields above can be found in the paper.<br>Data are provided to enable replication of key results.<br>
DOI: 10.6084/m9.figshare.12241235
title: turbulence data

description: turbulence data TBRF<br>
DOI: 10.6084/m9.figshare.12241616
title: CHARACTERISTIC PROTECTION STRUCTURE OF ACTION PLAN BY HUMAN RESOURCE MANAGEMENT ON CONSTRUCTION WORKERS

description: Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies.
DOI: 10.6084/m9.figshare.12241235.v2
title: turbulence data

description: turbulence data TBRF<br>
DOI: 10.6084/m9.figshare.12241616.v1
title: CHARACTERISTIC PROTECTION STRUCTURE OF ACTION PLAN BY HUMAN RESOURCE MANAGEMENT ON CONSTRUCTION WORKERS

description: Some or all data, models, or code generated or used during the study are available in a repository or online in accordance with funder data retention policies.
DOI: 10.6084/m9.figshare.12241235.v1
title: turbulence data

description: turbulence data TBRF<br>
DOI: 10.6084/m9.figshare.12241160
title: Table of Differential Interactions

description: This is the set of significantly variable interactions across 24 different cell lines. <br>Three separate methods were utilized to assess significance. A complete description of these methods can be found in the Supplementary Methods. Here we have provided the set of significantly variable loops (FDR&lt;10%) as determined by each method. Each file contains 12 columns:<br>Columns 1-3: Location of interacting region 1.<br>Columns 4-6: Location of interacting region 2.Column 7: Adjusted p-value.<br>The three methods used were:(i) linear mixed effects model(ii) standard linear model(iii) Kruskal-Wallis rank sum test.<br>All p-values were were corrected for multiple hypothesis testing using the Benjamini-Hochberg procedure. For the set of results produced using the Kruskal-Wallis rank sum test, we have provided ranked all interactions by their p-values and provided the top 35,698 interactions.
DOI: 10.6084/m9.figshare.12241076
title: Set of Pan-Cell Line Loops

description: This is the set of chromatin interactions identified using the combined ChIA-PET data across all 48 samples (24 cell lines * 2 replicates). <br>Loops/interactions were called using the Mango framework:<br>Phanstiel DH, Boyle AP, Heidari N, Snyder MP. Mango: a bias-correcting ChIA-PET analysis pipeline. Bioinformatics. 2015 Oct 1;31(19):3092-8.<br><br>The file consists of six columns:Columns 1-3: Location of interacting region 1Columns 4-6: Location of interacting region 2<pre><br></pre><pre><br></pre><pre><br></pre>
DOI: 10.6084/m9.figshare.12240980
title: microsoftdata_behaviors.xlsx

description: Behavioral annotations using the malware behavioral catalog as a taxonomy. The behaviors contain an overall objective and the techniques employed to meet that objective.<br><br>Sandia National Laboratories is a multimission laboratory managed and operated by National Technology \& Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. SAND2020-5090 O<br>
DOI: 10.6084/m9.figshare.12240878.v1
title: TableS2_clusteredGenes-1.xlsx

description: S2 Table: Genes within Each Cluster
DOI: 10.6084/m9.figshare.12240878.v2
title: Supplementary data Tables 2,4,6,7

description: S2 Table: Genes within Each Cluster S4 Table: Ecdysteroid-regulated genes S6 Table: miRNA annotation S7 Table- <i>Manduca</i> miRna Targets <br>
DOI: 10.6084/m9.figshare.12240581
title: RAW_DATA_for_Peguero_et_al_Metabolome-wide phylogenetically controlled comparison indicates higher phenolic diversity in tropical tree species

description: Metabolomic profile and stoichiometrically-based compound classification of the leaves of 8 tree species from tropical and temperate distribution.<br>
DOI: 10.6084/m9.figshare.12240584
title: Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings

description: We develop new multi-factor dynamic copula models with time-varying factor loadings and observation-driven dynamics. The new models are highly flexible, scalable to high dimensions, and ensure positivity of covariance and correlation matrices. A closed-form likelihood expression allows for straightforward parameter estimation and likelihood inference. We apply the new model to a large panel of 100 U.S. stocks over the period 2001–2014. The proposed multi-factor structure is much better than existing (single-factor) models at describing stock return dependence dynamics in high-dimensions. The new factor models also improve one-step-ahead copula density forecasts and global minimum variance portfolio performance. Finally, we investigate different mechanisms to allocate firms into groups and find that a simple industry classification outperforms alternatives based on observable risk factors, such as size, value, or momentum.
DOI: 10.6084/m9.figshare.12240590
title: Weekly report format - Final (1).XLSX

description: mk kk
DOI: 10.6084/m9.figshare.12240608
title: Data Citation 2.docx

description: <i>Pennisetum sinese</i> is widely used in bioenergy industry and animal husbandry via an aerobic fermentation process. At present, most of the scientists have focused on a specific variety, while there are great differences in chemical characteristics among different varieties, which can affect the fermentation quality. However, the effects of silage bacteriome on different varieties of <i>P. </i><i>sinese</i><i> </i>still largely unexplored. In the present study, we described the sequencing data of 16S rRNA gene (V3-V4 region) of silage microbiome from 12 varieties of <i>P. </i><i>sinese</i><i> </i>(36 samples) using the Illumina HiSeq 2500 (PE250) platform. A total of 2,677,149 raw reads with an average of 71,424 sequences per sample were obtained. The top 10 genera with highest relative abundance accounted for 71.00% of total bacterial sequences. Moreover, we observed 13,816 overall operational taxonomic units (383 per sample) based on nucleotide sequence identity of 97% between reads. The initial data analysis and overview were supplied. The shared data could be applied to assess other silage microorganisms in order to improve the fermentation quality.
DOI: 10.6084/m9.figshare.12240581.v1
title: RAW_DATA_for_Peguero_et_al_Metabolome-wide phylogenetically controlled comparison indicates higher phenolic diversity in tropical tree species

description: Metabolomic profile and stoichiometrically-based compound classification of the leaves of 8 tree species from tropical and temperate distribution.<br>
DOI: 10.6084/m9.figshare.12240590.v1
title: Weekly report format - Final (1).XLSX

description: mk kk
DOI: 10.6084/m9.figshare.12240608.v2
title: Data Citation 2.docx

description: <i>Pennisetum sinese</i> is widely used in bioenergy industry and animal husbandry via an aerobic fermentation process. At present, most of the scientists have focused on a specific variety, while there are great differences in chemical characteristics among different varieties, which can affect the fermentation quality. However, the effects of silage bacteriome on different varieties of <i>P. </i><i>sinese</i><i> </i>still largely unexplored. In the present study, we described the sequencing data of 16S rRNA gene (V3-V4 region) of silage microbiome from 12 varieties of <i>P. </i><i>sinese</i><i> </i>(36 samples) using the Illumina HiSeq 2500 (PE250) platform. A total of 2,677,149 raw reads with an average of 71,424 sequences per sample were obtained. The top 10 genera with highest relative abundance accounted for 71.00% of total bacterial sequences. Moreover, we observed 13,816 overall operational taxonomic units (383 per sample) based on nucleotide sequence identity of 97% between reads. The initial data analysis and overview were supplied. The shared data could be applied to assess other silage microorganisms in order to improve the fermentation quality.