cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10146640
title: Keyterm Co-Occurence Network

description: A bibliometric map displaying various nodes (word items) and the links by which they are connected conceived on VOSviewer. In this publication, we focused on words indicative of deficit thinking (at risk, disorder, risk, deficit, psychopathology, impairment, abnormality, difficulty, problem, risk factor, delay, dysfunction, cognitive impairment, conduct disorder, brain abnormality, cognitive deficit, failure, anomaly, attention problem, behavior problem, cognitive dysfunction, environmental risk factor, neuropsychological deficit, executive dysfunction). This map can be viewed and explored by uploading the attached json file on app.vosviewer.com. Readers can evaluate specific nodes by using the "find" feature on the left-handside menu.
DOI: 10.26180/20999185.v2
title: Evaluation of statistical methods used to meta-analyse results from interrupted time series studies: a simulation study - Code and Data

description: The datasets containing simulation performance results during the current study, in addition to the code to replicate the simulation study in its entirety, are available here. See the README file for a description the Stata do-files, R-script files, tips to run the code, and the performance result dataset dictionaries.
DOI: 10.26179/s5b7-nr52
title: Glaciology Spring and Autumn Traverse Program Casey 1985
DOI: 10.22032/dbt.39350
title: Die Wirksamkeit von Richtigstellungen durch journalistische Faktenprüfung: Fragebogen und Materialien

description: In der heutigen digitalisierten Medienwelt ist es sowohl für Kommunikatoren als auch für Rezipienten schwierig, die Verlässlichkeit von Informationen zu beurteilen sowie Gerüchte und Falschmeldungen zu identifizieren. Vor diesem Hintergrund hat die journalistische Faktenprüfung in den letzten Jahren an Relevanz gewonnen und zahlreiche Redaktionen, die sich auf diese Aufgabe spezialisierten haben, wurden eingerichtet. Bislang ist aber wenig darüber bekannt, wie erfolgreich deren Arbeit ist und unter welchen Bedingungen es gelingt, durch Falschmeldungen hervorgerufene Fehlvorstellungen der Rezipienten zu korrigieren. Daten zur Beantwortung dieser Fragen wurden mit Hilfe dieses Fragebogens erhoben.
DOI: 10.22032/dbt.39374
title: Coffee Lectures: Snackable Content für Wissenschaftliche Bibliotheken: Definition, Geschichte und aktuelle Ausprägung. Forschungsdaten

description: Tabellarische Auswertung der Umfragen. zugehöriger Artikel: Coffee Lectures: Snackable Content für Wissenschaftliche Bibliotheken, unter: https://www.db-thueringen.de/receive/dbt_mods_00039370
DOI: 10.5281/zenodo.10183254
title: Full-coverage atmospheric CO2 reconstruction data in China from 2010 to 2019

description: This monthly atmospheric CO2 dataset was reconstructed from GOSAT XCO2 retrievals using a spatiotemporal kriging method. We employed this dataset to investiage the spatiotemporal variation in atmospheric CO2 and its influencing factors. Please the publication as below:
--Chen, X., He, Q., Ye, T., Liang, Y., & Li, Y. (2023). Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis. Science of The Total Environment, 167917.
 
We also share other atmopsheric reconstruction datasets:
For full-coverage, 1-km, AOD data in China, please go to harvard dataverse. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.
For full-coverage, 1-km, CO2 data in China, please go to 10.5281/zenodo.10022904. This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.
For full-covereage, 1-km, PM2.5 data in China, please go to 10.5281/zenodo.8437234 or 10.5281/zenodo.8347128.
DOI: 10.5281/zenodo.10183255
title: Full-coverage atmospheric CO2 reconstruction data in China from 2010 to 2019

description: This monthly atmospheric CO2 dataset was reconstructed from GOSAT XCO2 retrievals using a spatiotemporal kriging method. We employed this dataset to investiage the spatiotemporal variation in atmospheric CO2 and its influencing factors. Please the publication as below:
--Chen, X., He, Q., Ye, T., Liang, Y., & Li, Y. (2023). Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis. Science of The Total Environment, 167917.
 
We also share other atmopsheric reconstruction datasets:
For full-coverage, 1-km, AOD data in China, please go to harvard dataverse. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.
For full-coverage, 1-km, CO2 data in China, please go to 10.5281/zenodo.10022904. This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.
For full-covereage, 1-km, PM2.5 data in China, please go to 10.5281/zenodo.8437234 or 10.5281/zenodo.8347128.
DOI: 10.5281/zenodo.10182034
title: Genome Database: Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers

description: This repository contains the dataset used in the publication "Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers," which is currently under revision. A pre-print can be found here. The database is based on previously published work to create a genomic database of honeybee gut microbes by Kirsten Ellegaard (2021), found here.
The zipped folder deposited here after unzipping, should contain the following files and directories:

honeybee_genome.fasta : fasta file containing the host (Apis mellifera) genome sequence
beebiome_db : fasta file of 198 concatenated genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier
beebiome_red_db : fasta file of 39 species representative genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier to be used for the analysis of intra-specific variation
fna_files : directory containing genome sequence files and concatenated files where the concatenated files contain one fasta entry renamed to the genome identifier and all contigs concatenated into one entry
ffn_files : directory containing one file per genome listing the nucleotide sequence of all the predicted genes
faa_files : directory containing one file per genome listing the amino acid sequence of all the predicted genes
bed_files : directory containing bed files where the location of each of the predicted genes are indicated based on their position in the concatenated genome file
single_ortho : directory containing one file per phylotype listing all the single-copy orthogroups (OGs) identified by orthofinder where each line represents an OG id followed by a list of genes from each of the genomes of that phylotype that belong to that OG and the corresponding sequences of these genes can be found in the ffn file belonging to the respective genome
red_bed_files : directory containing bed files for species representative genomes that only list the positions genes that belong to the core orthogroups of their phylotype
Further information about how this genome database was used to analyze strain-level diversity can be found in the publication and accompanying code repository.
DOI: 10.5281/zenodo.10182033
title: Genome Database: Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers

description: This repository contains the dataset used in the publication "Turnover of strain-level diversity modulates functional traits in the honeybee gut microbiome between nurses and foragers," which is currently under revision. A pre-print can be found here. The database is based on previously published work to create a genomic database of honeybee gut microbes by Kirsten Ellegaard (2021), found here.
The zipped folder deposited here after unzipping, should contain the following files and directories:

honeybee_genome.fasta : fasta file containing the host (Apis mellifera) genome sequence
beebiome_db : fasta file of 198 concatenated genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier
beebiome_red_db : fasta file of 39 species representative genomes with one genome per entry (multi-line fasta) where the headers represent the genome identifier to be used for the analysis of intra-specific variation
fna_files : directory containing genome sequence files and concatenated files where the concatenated files contain one fasta entry renamed to the genome identifier and all contigs concatenated into one entry
ffn_files : directory containing one file per genome listing the nucleotide sequence of all the predicted genes
faa_files : directory containing one file per genome listing the amino acid sequence of all the predicted genes
bed_files : directory containing bed files where the location of each of the predicted genes are indicated based on their position in the concatenated genome file
single_ortho : directory containing one file per phylotype listing all the single-copy orthogroups (OGs) identified by orthofinder where each line represents an OG id followed by a list of genes from each of the genomes of that phylotype that belong to that OG and the corresponding sequences of these genes can be found in the ffn file belonging to the respective genome
red_bed_files : directory containing bed files for species representative genomes that only list the positions genes that belong to the core orthogroups of their phylotype
Further information about how this genome database was used to analyze strain-level diversity can be found in the publication and accompanying code repository.
DOI: 10.6084/m9.figshare.24602709
title: Santos Júnior e Statella (2023) - Slope streaks database

description: Banco de dados dos Slope Streaks
DOI: 10.6084/m9.figshare.24602709.v1
title: Santos Júnior e Statella (2023) - Slope streaks database

description: Banco de dados dos Slope Streaks
DOI: 10.17608/k6.auckland.23961780.v1
title: HVN FIBRE Metadata Record - The effect of increased fibre intake on HbA1c and peripheral immune cells in diabetes

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: Increased dietary fibre and the subsequent production of short chain fatty acids (SCFA) by gut microbiota is known to influence immune cell function and metabolic activity. High fibre diets correlate to decreased inflammatory markers in T2DM, and in animal experiments dietary fibre derived SCFA have been found to reduce inflammatory markers and protect against diabetic neuropathies. Furthermore modulation of immune cell metabolism by SCFA can lead to a rebalancing away from pro-inflammatory phenotypes. We hypothesise that in addition to improving clinical indicators such as HbA1c, fibre supplementation will lead to altered peripheral immune cell metabolic and phenotypic parameters. In this study, we will conduct analyses, to allow for functional immune profiling of trial participants, to provide insights on how enhanced fibre intake in T2DM impacts immunological metabolism and function. To do this we will isolate peripheral blood mononuclear cell (PBMCs) from trial participants before and during a dietary fibre intervention. We will use high dimensional spectral flow cytometry and extracellular flux analysis to profile functional phenotypes and metabolic characteristics of individual immune populations. We will compare these, to potential changes in blood plasma cytokine levels, faecal metabolite profiles and changes in clinical readouts (eg. HbA1c).
DOI: 10.17608/k6.auckland.23961780
title: HVN FIBRE Metadata Record - The effect of increased fibre intake on HbA1c and peripheral immune cells in diabetes

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: Increased dietary fibre and the subsequent production of short chain fatty acids (SCFA) by gut microbiota is known to influence immune cell function and metabolic activity. High fibre diets correlate to decreased inflammatory markers in T2DM, and in animal experiments dietary fibre derived SCFA have been found to reduce inflammatory markers and protect against diabetic neuropathies. Furthermore modulation of immune cell metabolism by SCFA can lead to a rebalancing away from pro-inflammatory phenotypes. We hypothesise that in addition to improving clinical indicators such as HbA1c, fibre supplementation will lead to altered peripheral immune cell metabolic and phenotypic parameters. In this study, we will conduct analyses, to allow for functional immune profiling of trial participants, to provide insights on how enhanced fibre intake in T2DM impacts immunological metabolism and function. To do this we will isolate peripheral blood mononuclear cell (PBMCs) from trial participants before and during a dietary fibre intervention. We will use high dimensional spectral flow cytometry and extracellular flux analysis to profile functional phenotypes and metabolic characteristics of individual immune populations. We will compare these, to potential changes in blood plasma cytokine levels, faecal metabolite profiles and changes in clinical readouts (eg. HbA1c).
DOI: 10.17608/k6.auckland.23596662
title: HVN COMFORT-PSYKI Metadata Record - The Christchurch IBS cohort to investigate mechanisms for gut relief and improved transit - Psyllium and Kiwifruit translation study

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: The Christchurch IBS cohort to investigate mechanisms for gut relief and improved transit (COMFORT) was launched in 2016 as a systems approach to gain a wide range of clinical, psychological, biological, and, as a novelty, dietary data. We believe that the approach used by the COMFORT study is the ideal basis to evaluate food as treatment options in FGIDs. To test this, we have chosen two SunGold (TM) Kiwifruit a day and compare this with a fibre matched psyllium preparation in a randomized cross-over study over the course of a maximum of 16 weeks, with each intervention being between 3 and 4 weeks long. We hypothesise that the Interventions will improve gastrointestinal symptoms as assessed by GSRS ratings in the FC/IBS-C group, as well as increase bowel movements. Additionally, we hope to find differences in microbiome and metabolome depending on the participant groups and interventions
DOI: 10.17608/k6.auckland.23596662.v1
title: HVN COMFORT-PSYKI Metadata Record - The Christchurch IBS cohort to investigate mechanisms for gut relief and improved transit - Psyllium and Kiwifruit translation study

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: The Christchurch IBS cohort to investigate mechanisms for gut relief and improved transit (COMFORT) was launched in 2016 as a systems approach to gain a wide range of clinical, psychological, biological, and, as a novelty, dietary data. We believe that the approach used by the COMFORT study is the ideal basis to evaluate food as treatment options in FGIDs. To test this, we have chosen two SunGold (TM) Kiwifruit a day and compare this with a fibre matched psyllium preparation in a randomized cross-over study over the course of a maximum of 16 weeks, with each intervention being between 3 and 4 weeks long. We hypothesise that the Interventions will improve gastrointestinal symptoms as assessed by GSRS ratings in the FC/IBS-C group, as well as increase bowel movements. Additionally, we hope to find differences in microbiome and metabolome depending on the participant groups and interventions
DOI: 10.17608/k6.auckland.24201639
title: HVN TUMMI Metadata Record - TuMMI Trial: Temperature treatment of Milk impacts on MRI digestion rates and nutrient delivery

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.The structure of ruminant milks is an important factor influencing their health and nutritional properties. Although food processing techniques change the structure of milks, not much is known about how these changes affect digestion, and the resulting health effects. This study aims to compare the digestive responses to two common heat treatments of milk, to better understand the influence of processing on digestion and nutrient delivery. To do this, acute responses to ultra-high temperature (UHT) milk will be compared to pasteurised (PAST) cow milk (500 mL each, separately) in women who habitually consume dairy. These will be compared in a randomised, cross-over, double blinded active control trial. Physiological measures will be used to non-invasively assess the digestive process, alongside biological responses, tracking nutrient appearance, and subjective measures of digestion. Hypothesis: That the different food structure of ultra high temperature treated milk will result in quicker gastric emptying than pasteruised milk, and that this will affect biological and physiological measures of digestion and nutrient delivery.
DOI: 10.17608/k6.auckland.23118617
title: HVN SYNERGY Metadata Record - The New Zealand SYNERGY Study: Diabetes Prevention in Asian Chinese

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: Researchers aim to identify blood, urine and faecal markers of type 2 diabetes (T2D) risk that differ between ethnicities; and undertake nutritional interventions that target these biomarkers. Our previous study showed that Asian Chinese had a unique ‘fingerprint’ of diabetes markers with worse blood glucose (blood sugar), lipids (blood fats), and different novel metabolomic markers when they were still younger and outwardly-slim than matched European Caucasian counterparts. The reason for this difference is not known, and so in this current study we will try to find out what causes the difference. One possibility is that the markers are different due to completely different home diets. Therefore, we will test whether differences in the novel ‘metabolomics’ blood markers are completely due to diet and also assess whether diet with additional nutrients may together (synergistically) be beneficial in changing the profile of these novel blood markers. In order to do so, we will design two healthy diets based on the New Zealand and the Chinese dietary guidelines for improving metabolic health. The two diet arms will be: 1) HEALTHY DIET (‘control’ diet, HD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health 2) HEALTHY SYNERGY+ DIET (SD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health and includes some additional nutrients** hypothesised to have further improve metabolic health. ** Examples are whole foods such as omega-3 rich fish, more fibre, nuts and seeds, meat with less saturated fats. Both diets are healthy and matched with each other for energy content. All Caucasian participants will be enrolled in the Healthy diet arm while the Chinese participants will be allocated by chance to either the Healthy diet or the Healthy Synergy+ diet arms.
DOI: 10.17608/k6.auckland.23118617.v1
title: HVN SYNERGY Metadata Record - The New Zealand SYNERGY Study: Diabetes Prevention in Asian Chinese

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future. Description: Researchers aim to identify blood, urine and faecal markers of type 2 diabetes (T2D) risk that differ between ethnicities; and undertake nutritional interventions that target these biomarkers. Our previous study showed that Asian Chinese had a unique ‘fingerprint’ of diabetes markers with worse blood glucose (blood sugar), lipids (blood fats), and different novel metabolomic markers when they were still younger and outwardly-slim than matched European Caucasian counterparts. The reason for this difference is not known, and so in this current study we will try to find out what causes the difference. One possibility is that the markers are different due to completely different home diets. Therefore, we will test whether differences in the novel ‘metabolomics’ blood markers are completely due to diet and also assess whether diet with additional nutrients may together (synergistically) be beneficial in changing the profile of these novel blood markers. In order to do so, we will design two healthy diets based on the New Zealand and the Chinese dietary guidelines for improving metabolic health. The two diet arms will be: 1) HEALTHY DIET (‘control’ diet, HD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health 2) HEALTHY SYNERGY+ DIET (SD): which adheres to NZ and Chinese national dietary guidelines for good metabolic health and includes some additional nutrients** hypothesised to have further improve metabolic health. ** Examples are whole foods such as omega-3 rich fish, more fibre, nuts and seeds, meat with less saturated fats. Both diets are healthy and matched with each other for energy content. All Caucasian participants will be enrolled in the Healthy diet arm while the Chinese participants will be allocated by chance to either the Healthy diet or the Healthy Synergy+ diet arms.
DOI: 10.26179/3gp6-r941
title: Law Dome/Wilkes Land Traverse Data 1984