cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25295728
title: Diversity and potential sources of introduction of the beech leaf nematode (<i>Litylenchus crenatae mccannii</i>) to Ontario, Canada

description: <i>Litylenchus crenatae mccannii</i> is a foliar nematode that causes severe damage to beech, known as beech leaf disease (BLD). Previous studies have characterized and identified <i>L. crenatae</i>in Japan and a subspecies <i>L. crenatae mccannii</i> in the USA. <i>Litylenchus crenatae mccannii</i> has been found to cause BLD in native and non-native beech hosts in North America. As little is known about the distribution and diversity of the nematode in Ontario, Canada, beech foliage was sampled throughout southcentral Ontario. Incidence and severity maps show that BLD spread from its first detections in 2017, in Elgin and Norfolk counties, to the west and northeast. A gradient in severity and incidence was observed with the highest ratings at the locations where it was originally found. The extent of the nematode’s distribution is much broader than BLD, occurring throughout much of the range of American beech. Sequences of two barcoding loci for the <i>L. crenatae mccannii</i> isolates from 11 locations in Ontario showed 100% similarity within and among these locations. The genotype of <i>L. crenatae mccannii</i> found in Ontario is the same as that identified in the USA. This finding is consistent with the fact that 92% of beech imported into Canada is from the USA and suggests that the USA could be the origin of <i>L. crenatae mccannii</i> nematodes in Ontario or that both countries have imported beech trees from the same source country of BLD. This research provides motivation for further studies to clarify the sources of <i>L. crenatae mccannii.</i>
DOI: 10.6084/m9.figshare.25295728.v1
title: Diversity and potential sources of introduction of the beech leaf nematode (<i>Litylenchus crenatae mccannii</i>) to Ontario, Canada

description: <i>Litylenchus crenatae mccannii</i> is a foliar nematode that causes severe damage to beech, known as beech leaf disease (BLD). Previous studies have characterized and identified <i>L. crenatae</i>in Japan and a subspecies <i>L. crenatae mccannii</i> in the USA. <i>Litylenchus crenatae mccannii</i> has been found to cause BLD in native and non-native beech hosts in North America. As little is known about the distribution and diversity of the nematode in Ontario, Canada, beech foliage was sampled throughout southcentral Ontario. Incidence and severity maps show that BLD spread from its first detections in 2017, in Elgin and Norfolk counties, to the west and northeast. A gradient in severity and incidence was observed with the highest ratings at the locations where it was originally found. The extent of the nematode’s distribution is much broader than BLD, occurring throughout much of the range of American beech. Sequences of two barcoding loci for the <i>L. crenatae mccannii</i> isolates from 11 locations in Ontario showed 100% similarity within and among these locations. The genotype of <i>L. crenatae mccannii</i> found in Ontario is the same as that identified in the USA. This finding is consistent with the fact that 92% of beech imported into Canada is from the USA and suggests that the USA could be the origin of <i>L. crenatae mccannii</i> nematodes in Ontario or that both countries have imported beech trees from the same source country of BLD. This research provides motivation for further studies to clarify the sources of <i>L. crenatae mccannii.</i>
DOI: 10.17632/cvp7v9nxkf.1
title: Detecting Statistically Significant Changes in Connectedness: A Bootstrap-based Technique

description: The folder provides the original DY2009 data and all programs to replicate the results, figures and tables in our paper (Detecting Statistically Significant Changes in Connectedness: A Bootstrap-based Technique).
DOI: 10.17632/s3b6jw8t88.1
title: Leadership Emoji Study 1

description: Study 1 SPSS dataset
DOI: 10.17632/6wv6xrb3h2.1
title: Leadership Emoji Study 2

description: Study 2 SPSS dataset
DOI: 10.17632/r7s28ypk2d.1
title: Package for Analytically pricing European options in dynamic markets: Incorporating liquidity variations and economic cycles

description: Replication package for "Analytically pricing European options in dynamic markets: Incorporating liquidity variations and economic cycles"
DOI: 10.17632/t8685h4md4.1
title: Extrachromosomal circular DNAs in IgA nephropathy

description: The sequence and analyses of extrachromosomal circular DNAs (eccDNAs) in plasma of IgA nephropathy patienst and healthy controls.
DOI: 10.17632/n83kf8m7v5.1
title: Pre-post assessment data

description: This data file contains the raw and processed results from pre- and post-workshop assessments conducted as part of a professional development workshop aimed at enhancing teachers' competency-based assessment skills. The data is presented in three sheets within the workbook:

Pre Test Data: This sheet includes the individual responses of participants to the assessment conducted before the commencement of the workshop. Each row represents a participant's responses to the 15 assessment items, which are anonymized to maintain confidentiality.

Post Test Data: This sheet records responses from the same assessment conducted after the workshop, allowing for a direct comparison of knowledge and skills before and after the training intervention. Similar to the pre-test data, responses are anonymized.

Key: This sheet contains the correct answers for the assessment items, facilitating analysis of the responses from the pre and post assessments. The correct answers are used to calculate the score for each item and generate the overall score for each participant.
DOI: 10.15468/dl.9eq6up
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Plantae",
 "Year is 1766"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043130-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yncydp8xvr.1
title: CIA2022 Irregulars and Nevers

description: This is a subset of the Catholics in Australia 2022 (CIA2022) data set relating specifically to participants' views on Catholic beliefs.
DOI: 10.17632/v4pssz2rz2.1
title: Data for: Urban-rural distribution patterns and environmental adaptation strategies of herbaceous plants in a Karst city

description: This data set contains all data used for analyzing urban-rural distribution patterns and environmental adaptation strategies of herbaceous plants in Guiyang. It includes the species names, abundances and functional traits of herbaceous plants in 80 plots across urban-rural gradients.
DOI: 10.17632/wg94x2szyp.1
title: One-day outpatient related data

description: The intervention model in our study is based on the one-day outpatient comprehensive management model of diabetes, which improves the insulin resistance of GDM patients. The possible mechanism is related to the implementation of one-day outpatient intervention measures, which reduces the stress adaptation disorder and oxidative stress injury of GDM patients. At the same time, the implementation of intervention measures reduces the rate of weight gain, which can also alleviate insulin resistance to a certain extent. One-day outpatient treatment has a positive effect on improving insulin resistance in GDM women, which can reduce the risk of maternal and fetal complications.
DOI: 10.17632/tnrh8tmbww.1
title: Global Perspectives on Early-Life Stress

description: This data was use to examine the relationships between early-life stress (ELS) and brain development, focusing on psychological and behavioral outcomes across diverse socio-economic backgrounds. Using data from 30 countries
DOI: 10.15468/dl.r3m9t9
title: Occurrence Download

description: A dataset containing 2186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Imperata cylindrica (L.) Raeusch."
 ]
}

 The dataset includes 2186 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043131-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jhzmfr8bbs.1
title: A replisome-associated histone H3-H4 chaperone required for epigenetic inheritance

description: Faithful transfer of parental histones to newly replicated daughter DNA strands is critical for inheritance of epigenetic states. Although replication proteins that facilitate parental histone transfer have been identified, how intact histone H3-H4 tetramers travel from the front to the back of the replication fork remains unknown. Here, we use AlphaFold- Multimer structural predictions combined with biochemical and genetic approaches to identify the Mrc1/CLASPIN subunit of the replisome as a histone chaperone. Mrc1 contains a conserved histone binding domain that forms a brace around the H3-H4 tetramer mimicking nucleosomal DNA and H2A-H2B histones, is required for heterochromatin inheritance, and promotes parental histone recycling during replication. We further identify binding sites for the FACT histone chaperone in Swi1/TIMELESS and DNA polymerase α that are required for heterochromatin inheritance. We propose that Mrc1, in concert with FACT acting as a mobile co-chaperone, coordinates the distribution of parental histones to newly replicated DNA.

This dataset is associated with the article "A replisome-associated histone H3-H4 chaperone required for epigenetic inheritance". It contains all yeast spotting assays, protein gels, western blots, and scripts to generate AlphaFold screen predictions using ColabFold-batch.
DOI: 10.15468/dl.9zaq5g
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Plantae",
 "Year is 1766"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043132-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/56n4b67mbx.1
title: NEW DYNAMIC SCORING METHOD FOR DEEP EVALUATION OF NALOXEGOL AS β-TUBULIN BINDING INHIBITOR

description: Dataset of Computer Aided Drug Design (CADD) and Molecular Dynamics (MD) operations for the article, titled "NEW DYNAMIC SCORING METHOD FOR DEEP EVALUATION OF NALOXEGOL AS β-TUBULIN BINDING INHIBITOR"
DOI: 10.15468/dl.auh2gr
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Plantae",
 "Year is 1766"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043133-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.4gsulwfr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (65 records)
DOI: 10.17632/jvchn7rsrt.1
title: Immune function Changes of chronic kidney disease patients after SARS-CoV-2 infection

description: Data for Immune function Changes of chronic kidney disease patients after SARS-CoV-2 infection
DOI: 10.6084/m9.figshare.26076451
title: Behavioural data - MIA validation (AYotova)

description: Full dataset of behavioural results - MIA project (Yotova et al., 2024)<br><br><i>Legend for "</i><i>Yotova-et-al_2024-MIA-full-behaviour-stats</i><i>.xlsx" & "</i><i>Yotova-et-al_2024-MIA-full-behaviour-results</i><i>.xlsx":</i> <br>SEX - 1=female; 2=male / MIA (poly(I:C) dose): <b>1= </b>0mg/kg; 2= 2.5 mg/kg; <b>3= </b>5 mg/kg <br><br><i>Legend for "Yotova-et-al_SPSS-LMM-behaviour-litter-as-random-effect.pdf":</i>SEX - 1=female; 2=male / MIA (poly(I:C) dose): <b>1= </b>5 mg/kg; 2=2.5 mg/kg; <b>3= </b>0 mg/kg
DOI: 10.6084/m9.figshare.26076451.v1
title: Behavioural data - MIA validation (AYotova)

description: Full dataset of behavioural results - MIA project (Yotova et al., 2024)<br><br><i>Legend for "</i><i>Yotova-et-al_2024-MIA-full-behaviour-stats</i><i>.xlsx" & "</i><i>Yotova-et-al_2024-MIA-full-behaviour-results</i><i>.xlsx":</i> <br>SEX - 1=female; 2=male / MIA (poly(I:C) dose): <b>1= </b>0mg/kg; 2= 2.5 mg/kg; <b>3= </b>5 mg/kg <br><br><i>Legend for "Yotova-et-al_SPSS-LMM-behaviour-litter-as-random-effect.pdf":</i>SEX - 1=female; 2=male / MIA (poly(I:C) dose): <b>1= </b>5 mg/kg; 2=2.5 mg/kg; <b>3= </b>0 mg/kg
DOI: 10.6084/m9.figshare.22581766
title: Adult-SynProteome_MIA_AYotova

description: Adult-Synaptic-Proteome_MIA-0-5mg/kg-Poly(IC)_Pool/M/F_LiliLi-AnnaYYotovaProteomic data (Spectronaut v18) - Raw + Full & Cleaned/Filtered Candidate Lists (w/ stats)
DOI: 10.17632/g5cgmk8f2b.1
title: IJHRM 2024
DOI: 10.17632/cwt9pk2gcx.1
title: Deep subduction-zone fluids cause the Mg-Fe isotope anomaly of arc magma

description: Appendix table Whole-rock geochemistry is the bulk-rock major- and trace-element compositions of samples from the coesite-bearing eclogite-vein system at Bixiling.
DOI: 10.15468/dl.e4z8aq
title: Occurrence Download

description: A dataset containing 91906897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 91906897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043128-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gk8vf59khp.1
title: Data for Climate Change and Sustainable Food Consumption Behaviors: A Study on Artificial Meat and Edible Insects

description: These data have been analyzed in Turkey. 
variables:
Climate change risk perception
Artificial meat diffusion optimism
Edible insects diffusion optimism
Food neophobia
DOI: 10.17632/56v336z2y7.1
title: Synthetic Dataset for COVID-19 Back Tracing

description: Contact tracing involves the systematic collection and analysis of information on individuals who have had close contact with confirmed cases of an infectious disease. Contact tracing systems encompasses various surveillance inputs that aid in predicting high-risk individuals. The considered inputs include distance, overlap time, incubation time, visiting time lag, and facility size. The generated data includes 1000 scenarios involving different sets of exposed individuals. To ensure diversity within the samples, random generation techniques were employed to assign each person a distinct exposure scenario, distinct from that of others in the sample. The generated data covers a wide range of distances, spanning from one foot to 97 feet, considering indoor meetings. Facility sizes are categorized into five groups, namely very small (1), small (2), medium (3), large (4), and very large (5). The overlap time duration varies from one minute to 480 minutes, and similarly the visiting time lag ranges from one minute to 480 minutes. Lastly, the incubation time is generated within the context of COVID-19, ranging from one day to 14 days.

Distance: This parameter represents the spatial separation between a confirmed infected person and an exposed individual during contact, indicating the physical distance maintained between them. 
Overlap Time: This parameter measures the duration of close proximity between an infected person and an exposed individual, indicating the amount of time spent in direct contact.
Visiting Time Lag: This parameter denotes the time gap between consecutive visits of an individual to a particular location or facility after a confirmed infected person has departed from the same place. This factor takes into account the possibility of indirect contact with the infected person through touching a contaminated object or surface. 
Incubation Time: The parameter representing the period elapsed from the moment of exposure to an infectious agent to the onset of noticeable symptoms in an infected individual.
Facility Size: The parameter indicating the dimensions or capacity of the specific location or venue where the contact takes place, offering insights into the physical space available for interactions.
DOI: 10.17632/56v336z2y7.2
title: Synthetic Dataset for COVID-19 Contact Tracing - One Million Scenarios

description: Contact tracing involves the systematic collection and analysis of information on individuals who have had close contact with confirmed cases of an infectious disease. Contact tracing systems encompasses various surveillance inputs that aid in predicting high-risk individuals. The considered inputs include in this data set are distance, overlap time, incubation time, visiting time lag, and facility size. The generated data includes 1000,000 scenarios involving different sets of exposed individuals. To ensure diversity within the samples, random generation techniques were employed to assign each person a distinct exposure scenario, distinct from that of others in the sample. The generated data covers a wide range of distances, spanning from one foot to 99 feet, considering indoor meetings. Facility sizes are categorized into five types, namely very small (1), small (2), medium (3), large (4), and very large (5). The overlap time duration varies from one minute to 480 minutes, and similarly the visiting time lag ranges from one minute to 480 minutes. Lastly, the incubation time is generated within the context of COVID-19, ranging from one day to 14 days.

Distance: This parameter represents the spatial separation between a confirmed infected person and an exposed individual during contact, indicating the physical distance maintained between them. 
Overlap Time: This parameter measures the duration of close proximity between an infected person and an exposed individual, indicating the amount of time spent in direct contact.
Visiting Time Lag: This parameter denotes the time gap between consecutive visits of an individual to a particular location or facility after a confirmed infected person has departed from the same place. This factor takes into account the possibility of indirect contact with the infected person through touching a contaminated object or surface. 
Incubation Time: The parameter representing the period elapsed from the moment of exposure to an infectious agent to the onset of noticeable symptoms in an infected individual.
Facility Size: The parameter indicating the dimensions or capacity of the specific location or venue where the contact takes place, offering insights into the physical space available for interactions.
DOI: 10.17632/rzfd64432m.1
title: Taxation Digital Economy

description: Evolution of the taxation value of digital economy.
DOI: 10.6084/m9.figshare.22581628
title: Embryonic SynProteome MIA_AYotova

description: Embryonic-Synaptic-Proteome_MIA-0-5mg/kg-Poly(IC)_Pool/M/F_LiliLi-AnnaYYotovaProteomic data (Spectronaut v18) - Raw + Full & Cleaned/Filtered Candidate Lists (w/ stats)
DOI: 10.5281/zenodo.13128098
title: Dataset for a discrete choice experiment examining preferences and willingness to pay for health app assessments among healthcare stakeholders

description: Data collected as part of a discrete choice experiment study which examined the preferences and willingness to pay for health app assessments with different value propositions among health app developers and health system representatives. The following documents are posted on Zenodo:



Codebook for participant background information

Participant background information

Discrete choice experiment data
DOI: 10.5281/zenodo.13128099
title: Dataset for a discrete choice experiment examining preferences and willingness to pay for health app assessments among healthcare stakeholders

description: Data collected as part of a discrete choice experiment study which examined the preferences and willingness to pay for health app assessments with different value propositions among health app developers and health system representatives. The following documents are posted on Zenodo:



Codebook for participant background information

Participant background information

Discrete choice experiment data
DOI: 10.6084/m9.figshare.26411257
title: Regression analysis variable data 2008-2021.xlsx

description: This study incorporates variables such as global value chain participation rates obtained from the Asian Development Bank (ADB) input-output tables and U.S. FDI inflows obtained from Statista. Other economic indicators include China's GDP growth rate, population growth rate, economic openness, and technological readiness
DOI: 10.17632/xhp5r3v6zp.1
title: INTEGRATED REPORTING QUALITY: THE INTERACTION OF BOARD ATTRIBUTES AND POLITICAL CONNECTIONS

description: This research examines the influence of board attributes—female directors, board size, and independent commissioners—on the quality of integrated reporting in non-cyclical consumer goods companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2022. It also investigates how political connections moderate these effects. The data, meticulously collected from annual reports, includes variables such as the presence and proportion of female directors, board size, independent commissioners, and earnings quality measures, alongside political connection data. Key findings indicate that the size of the board of commissioners significantly affects integrated reporting quality, whereas female directors and independent commissioners do not have significant direct effects. However, in politically connected companies, both female directors and board size exert a stronger influence on integrated reporting quality. This dataset is invaluable for researchers and practitioners focused on corporate governance and integrated reporting. It provides a foundation for replicating the study, extending research with additional variables or a broader sample, and informing policy reforms to enhance integrated reporting practices. By understanding the presented dynamics, stakeholders can better appreciate the factors contributing to high-quality integrated reporting and the role of political connections in shaping these outcomes. The data supports a nuanced understanding of how board composition and political ties impact corporate transparency and reporting standards, offering insights for improving governance practices in the corporate sector.
DOI: 10.15468/dl.v2mfqx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cepaea hortensis (O.F.Müller, 1774), Cepaea nemoralis (Linnaeus, 1758))",
 "Continent is Europe",
 "DecimalLatitude is less than 50",
 "DecimalLatitude is greater than or equal to 51"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043137-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26411347
title: Investment Comparison by Industry for 2018 and 2020

description: The period from 2018 to 2020 is particularly emphasized to coincide with the U.S.-China trade war, providing insights into the dynamic changes in the economic landscape, to illustrate the interconnections between different sectors within the GVC framework.