cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3635624_d4
title: Additional file 3: Table S2. of Capturing the diversity of the human gut microbiota through culture-enriched molecular profiling

description: Classification of Lachnospiraceae isolates cultured from Donor HV7 and IBS4 fecal samples. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.c.3635636_d1
title: Additional file 1: of Transcriptome-wide RNA processing kinetics revealed using extremely short 4tU labeling

description: Tables S1â  S14; figures S1â  S7; and Supplementary Methods and References. (ZIP 6028 kb)
DOI: 10.6084/m9.figshare.c.3635639_d2
title: Additional file 3: of Allele-specific expression in the human heart and its application to postoperative atrial fibrillation and myocardial ischemia

description: List of SNPs with significant allele-specific expression in LV. (TXT 1941 kb)
DOI: 10.6084/m9.figshare.c.3635639_d3
title: Additional file 2: of Allele-specific expression in the human heart and its application to postoperative atrial fibrillation and myocardial ischemia

description: List of SNPs with significant allele-specific expression in LA. (TXT 1290 kb)
DOI: 10.6084/m9.figshare.c.3635645_d2
title: Additional file 8: Table S7. of A comprehensive joint analysis of the long and short RNA transcriptomes of human erythrocytes

description: Primers used in this manuscript. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3640256_d1
title: Additional file 2: of Genotyping of whole genome amplified reduced representation libraries reveals a cryptic population of Culicoides brevitarsis in the Northern Territory, Australia

description: The Matrix of data containing the list of SNPs selected after filtration crossed with selected samples. The â  Nâ   tags the individuals where alleles are missing from the sequence reads. This could either be as a result of lack of a read at this site or a poor quality sequence, which cannot be called. (TXT 2744Â kb)
DOI: 10.6084/m9.figshare.c.3640256_d2
title: Additional file 3: of Genotyping of whole genome amplified reduced representation libraries reveals a cryptic population of Culicoides brevitarsis in the Northern Territory, Australia

description: Results of estimates of Hardy-Weinberg equilibrium tests conducted for each locus in the NT and East Coast populations (Pâ
DOI: 10.6084/m9.figshare.c.3640256_d3
title: Additional file 1: of Genotyping of whole genome amplified reduced representation libraries reveals a cryptic population of Culicoides brevitarsis in the Northern Territory, Australia

description: R script used to perform filtering of the isolated SNPs. This file has to be read with R. (R 14Â kb)
DOI: 10.6084/m9.figshare.c.3640256_d4
title: Additional file 4: of Genotyping of whole genome amplified reduced representation libraries reveals a cryptic population of Culicoides brevitarsis in the Northern Territory, Australia

description: BayeScan results for analysis for SNPs under natural selection. The first column is the tag of the selected reads. For each SNP, â  probâ   represents the posterior probability of departure from neutrality; PO (posterior odds) is the ratio of posterior probabilities and is indicative of how more likely the model with selection is compared to the neutral model. The q value estimates the statistical significance of the deviation. The three lowest values are highlighted in yellow. The q value was used for ordering of the rows in the table. (XLSX 150Â kb)
DOI: 10.6084/m9.figshare.c.3640283_d1
title: Additional file 3: of RNA-Seq in Mytilus galloprovincialis: comparative transcriptomics and expression profiles among different tissues

description: Pathways found in the annotated portion of the transcriptomes. (ZIP 4950 kb)
DOI: 10.6084/m9.figshare.c.3640283_d3
title: Additional file 5: of RNA-Seq in Mytilus galloprovincialis: comparative transcriptomics and expression profiles among different tissues

description: Mytilus galloprovincialis transcriptome in FASTA format. (ZIP 25884 kb)
DOI: 10.6084/m9.figshare.c.3640283_d4
title: Additional file 2: of RNA-Seq in Mytilus galloprovincialis: comparative transcriptomics and expression profiles among different tissues

description: Figure representing the number of transcripts obtained after the assembly of increasing number of mapped reads. (XLSX 743 kb)
DOI: 10.6084/m9.figshare.c.3640283_d2
title: Additional file 1: of RNA-Seq in Mytilus galloprovincialis: comparative transcriptomics and expression profiles among different tissues

description: Table listing Mytilus galloprovincialis transcripts, including the sequence, length, RPKM, description, accession number of the description (Hit ACC) and e-value obtained in each database used for annotation and the GO terms ascribed to each sequence. (XLSX 38412 kb)
DOI: 10.6084/m9.figshare.c.3640283_d5
title: Additional file 4: of RNA-Seq in Mytilus galloprovincialis: comparative transcriptomics and expression profiles among different tissues

description: Tables and figures showing the non-shared C1q variants found in the hemocytes, mantle, muscle and gills. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.c.3642932_d1
title: MOESM1 of Clinical utility of serum biomarkers in Duchenne muscular dystrophy

description: Additional file 1: Table S1. List of serum protein biomarkers indentified by mass spectrometry based proteome profiling and SomaScan technique References [44, 45].
DOI: 10.6084/m9.figshare.c.3642941_d1
title: Additional file 4: of Trends in risk factors for coronary heart disease in the Netherlands

description: Physical activity raw data. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.c.3642938_d3
title: Additional file 2: of Feasibility of controlling hookworm infection through preventive chemotherapy: a simulation study using the individual-based WORMSIM modelling framework

description: Zip archive containing the JAVA-based WORMSIM modelling framework (version 2.58Ap9), including example input files (XML) for hookworm transmission and detailed documentation of the XML schema for input files. The contents of this zip archive are licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. By opening Additional File X, you agree to the aforementioned license. You are free to use and share (copy and redistribute the material in any medium or format) the material contained within Additional File 4 under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial — You may not use the material for commercial purposes. NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. (ZIP 5.69 MB)
DOI: 10.6084/m9.figshare.c.3642941_d3
title: Additional file 3: of Trends in risk factors for coronary heart disease in the Netherlands

description: Smoking raw data. (XLSX 12Â kb)
DOI: 10.15468/dl.9aqd3w
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum flavopurpureum Goyder & Fontella"
 ]
}

 The dataset includes 67 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034531-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28029074
title: Air quality Ouagadougou, Burkina Faso

description: Air quality measurements taken at the artisanal granite quarries of Yagma and Pissy, Ouagadougou, Burkina Faso
DOI: 10.15468/dl.z25vrx
title: Occurrence Download

description: A dataset containing 9475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "Year 2000-2015"
 ]
}

 The dataset includes 9475 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034532-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjqr5y
title: Occurrence Download

description: A dataset containing 32642458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32642458 records from 3751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7adua
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asimina triloba",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004897-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4z9386z7m4
title: Research data

description: Data Document Description

Research Hypothesis: This study aims to validate a core hypothesis: in the context of energy economic transformation, the key factors influencing enterprises' adoption of Supply Chain Economic Substitutes (SCES) include not only traditional perceptions of usefulness and policy support but are also significantly affected by organizational-level perceptions of ease of use and behavioral economics concepts such as loss aversion. It is hypothesized that barriers related to technological ease of use and enterprises' psychological tendencies towards loss aversion together constitute significant behavioral obstacles.

Data Content and Collection Method: This dataset was generated through a structured computational experiment designed to create a controlled "theoretical laboratory." The data simulates decision-making behaviors from 855 companies across four key industries, including manufacturing and energy, over the period from 2017 to 2024, resulting in a total of 6,840 observations. Core variables include SCES adoption intensity, perceived usefulness (PU), perceived ease of use (PEOU), perceived behavioral control (PBC), estimated enterprise loss aversion coefficient (λ) using Bayesian methods, policy support index, market uncertainty, and technology readiness; all variables are measured on a scale from 0 to 10.

Main Findings and Data Interpretation: The results from data analysis strongly support the research hypothesis.
1. Perceived Ease of Use as a Key Driver: Its overall effect on enterprise attitudes is quantified at 0.486, highlighting the importance of reducing technological application complexity.
2. Loss Aversion Constituting Significant Barriers: The estimated average loss aversion coefficient λ for enterprises is found to be 1.70 with industry heterogeneity observed (highest in manufacturing at λ=2.29). This indicates that fear of potential losses substantially hinders their adoption decisions.
3. Policy Simulation Revealing Effective Pathways: Data suggests that scenarios combining policies with enhancements in ease-of-use can most effectively overcome behavioral barriers; by the end of year eight, this approach could elevate adoption rates to 82.2%.

Data Usage Guidelines: This dataset supports replication studies aimed at reproducing empirical results presented in this paper—including descriptive statistics, correlation analyses, Bayesian structural equation modeling estimates, and foundational policy simulations.
DOI: 10.3929/ethz-b-000640942
title: Data for publication: "Two new multirotor Uncrewed Aerial Vehicles (UAVs) for glaciogenic cloud seeding and aerosol measurements within the CLOUDLAB project"

description: Uncrewed Aerial Vehicles (UAVs) have become widely used in a range of atmospheric science research applications. Because of their small size, flexible range of motion, adaptability, and low cost, multirotor UAVs are especially well-suited for probing the lower atmosphere. However, their use so far has been limited to conditions outside of clouds, first because of the difficulty of flying beyond visual line of sight, and second because of the challenge of flying in icing conditions in supercooled clouds. Here, we present two UAVs for cloud microphysical research: one UAV (the measurement UAV) equipped with a Portable Optical Particle Spectrometer (POPS) and meteorological sensors to probe the aerosol and meteorological properties in the boundary layer, and one UAV (the seeding UAV) equipped with seeding flares to produce a plume of particles that can initiate ice in supercooled clouds. A propeller heating mechanism on both UAVs allows for operating in supercooled clouds with icing conditions. These UAVs are an integral part of the CLOUDLAB project in which glaciogenic cloud seeding of supercooled low stratus clouds is utilized for studying aerosol-cloud interactions and ice crystal formation and growth. In this paper, we first show validations of the POPS onboard the measurement UAV, demonstrating that the rotor turbulence has a minimal effect on particle number concentrations. We then exemplify the applicability for profiling the planetary boundary layer, as well as for sampling and characterizing aerosol plumes, in this case, the seeding plume. We also present a new method for filtering out high-concentration data to ensure good data quality of POPS. We explain the different flight patterns that are possible for both UAVs, namely horizontal or vertical leg patterns or hovering, with an extensive and flexible parameter space for designing the flight patterns according to our scientific goals. Finally, we show two examples of seeding experiments: first characterizing an out-of-cloud seeding plume with the measurement UAV flying horizontal transects through the plume, and second, characterizing an in-cloud seeding plume with downstream measurements from a POPS and a holographic imager mounted on a tethered balloon. Particle number concentrations and particle number size distributions of the seeding plume from the experiments reveal that we can successfully produce and measure the seeding plume, both in-cloud (with accompanying elevated ice crystal number concentrations) and out-of-cloud. The methods presented here will be useful for probing the lower atmosphere, for characterizing aerosol plumes, and for deepening our cloud microphysical understanding through cloud seeding experiments, all of which have the potential to benefit the atmospheric science community.
DOI: 10.17632/4z9386z7m4.2
title: Research data

description: Data Document Description

Research Hypothesis: This study aims to validate a core hypothesis: in the context of energy economic transformation, the key factors influencing enterprises' adoption of Supply Chain Economic Substitutes (SCES) include not only traditional perceptions of usefulness and policy support but are also significantly affected by organizational-level perceptions of ease of use and behavioral economics concepts such as loss aversion. It is hypothesized that barriers related to technological ease of use and enterprises' psychological tendencies towards loss aversion together constitute significant behavioral obstacles.

Data Content and Collection Method: This dataset was generated through a structured computational experiment designed to create a controlled "theoretical laboratory." The data simulates decision-making behaviors from 855 companies across four key industries, including manufacturing and energy, over the period from 2017 to 2024, resulting in a total of 6,840 observations. Core variables include SCES adoption intensity, perceived usefulness (PU), perceived ease of use (PEOU), perceived behavioral control (PBC), estimated enterprise loss aversion coefficient (λ) using Bayesian methods, policy support index, market uncertainty, and technology readiness; all variables are measured on a scale from 0 to 10.

Main Findings and Data Interpretation: The results from data analysis strongly support the research hypothesis.
1. Perceived Ease of Use as a Key Driver: Its overall effect on enterprise attitudes is quantified at 0.486, highlighting the importance of reducing technological application complexity.
2. Loss Aversion Constituting Significant Barriers: The estimated average loss aversion coefficient λ for enterprises is found to be 1.70 with industry heterogeneity observed (highest in manufacturing at λ=2.29). This indicates that fear of potential losses substantially hinders their adoption decisions.
3. Policy Simulation Revealing Effective Pathways: Data suggests that scenarios combining policies with enhancements in ease-of-use can most effectively overcome behavioral barriers; by the end of year eight, this approach could elevate adoption rates to 82.2%.

Data Usage Guidelines: This dataset supports replication studies aimed at reproducing empirical results presented in this paper—including descriptive statistics, correlation analyses, Bayesian structural equation modeling estimates, and foundational policy simulations.
DOI: 10.5281/zenodo.6373338
title: Files and dataset for Jenkins & Keppens 2022: 3D prominence formation and evolution

description: The MPI-AMRVAC files necessary to run the presented simulation from the start, including calculations necessary to output additional variables to the .dat file. Current setup is to save all additional variables - this is not recommended as it will exceed 60gb for a single file. It is recommended to only save one or two additional variables each time. Final snapshot for t = 668 is included - this is the snapshot presented and analysed within the manuscript. Analysis completed using yt-project package in Python; EUV and Hydrogen H-α visualisation routines are integrated into a modified frontend for this package but are immediately available on request: jack.jenkins@esa.int .
DOI: 10.5281/zenodo.6373339
title: Files and dataset for Jenkins & Keppens 2022: 3D prominence formation and evolution

description: The MPI-AMRVAC files necessary to run the presented simulation from the start, including calculations necessary to output additional variables to the .dat file. Current setup is to save all additional variables - this is not recommended as it will exceed 60gb for a single file. It is recommended to only save one or two additional variables each time. Final snapshot for t = 668 is included - this is the snapshot presented and analysed within the manuscript. Analysis completed using yt-project package in Python; EUV and Hydrogen H-α visualisation routines are integrated into a modified frontend for this package but are immediately available on request: jack.jenkins@esa.int .
DOI: 10.15468/dl.6qpgvz
title: Occurrence Download

description: A dataset containing 1667776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica dioica L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1667776 records from 4284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019031-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw6zj8
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus longicuspis Siebold & Zucc.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 341 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006234-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtxqfn
title: Occurrence Download

description: A dataset containing 2777 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant (KIWE-PL)"
 ]
}

 The dataset includes 2777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019694-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxrcum
title: Occurrence Download

description: A dataset containing 208645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Year is 2007",
 "Country is Brazil"
 ]
}

 The dataset includes 208645 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178558-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fev8fk
title: Occurrence Download

description: A dataset containing 2205 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Scandix australis L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2205 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019695-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kud7fk
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argemone chisosensis G.B.Ownbey"
 ]
}

 The dataset includes 115 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189319-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc9qgo
title: Occurrence Download

description: A dataset containing 333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((91.23047 0.59764,153.10547 0.59764,153.80859 44.51531,91.23047 45.26251,91.23047 0.59764))",
 "HasCoordinate is true",
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 333 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019695-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.12071
title: An Interview About The History of Biram Siise And Seet Mati (NCAC_RDD_TAPE_0596A_B)

description: Biram Siise and Seet Mati
 History of Baddibu and Nyoro


<sup><em>Alternative Names: Jagne, Alhagi, Alhagie, Alhajie, Malik, Malick, Ceesay, Cisse, Seesay, Sissay, Sise, Sisse, Jagne, Beram, Birang, Biran, Matty, Said, Sait, Sayid, Sayit, Seed </em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.12070
title: An Interview About The History of Biram Siise And Seet Mati (NCAC_RDD_TAPE_0596A_B)

description: Biram Siise and Seet Mati
 History of Baddibu and Nyoro


<sup><em>Alternative Names: Jagne, Alhagi, Alhagie, Alhajie, Malik, Malick, Ceesay, Cisse, Seesay, Sissay, Sise, Sisse, Jagne, Beram, Birang, Biran, Matty, Said, Sait, Sayid, Sayit, Seed </em></sup>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany