cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6rggtbxkv6.1
title: Does Peer Buyer Attractiveness in Customer-Generated Images Impact E-Commerce Apparel Purchase Intentions?

description: Customer-generated images (CGIs) on e-commerce platforms drive consumer decisions, but their precise impact on purchase intention remains under-explored, especially considering diverse levels of peer-buyer attractiveness (PBA) in apparel CGIs. To investigate this, we conducted five experiments involving female apparel shoppers (N1a = 230, N2a = 240, N2b =252, N3 = 284) and undergraduates (N1b = 95), employing experimental-causal-chain and measurement-of-mediation designs. Study 1 assessed PBA's effect on purchase intention, Study 2 explored self-referencing as a mediator, and Study 3 comprehensively evaluated a chain-mediation model. 

Hypotheses:
Hypothesis 1: CGIs negatively influence purchase intention (a) and CGIs with low PBA lead to lower purchase intention than those with high PBA (b).
Hypothesis 2: CGIs positively influence self-referencing (a) and CGIs with low PBA lead to lower self-referencing levels than those with high PBA (b).
Hypothesis H3: Self-referencing mediates the effect of PBA on purchase intention. 
Findings revealed that medium and low PBA in CGIs reduced purchase intentions, mediated by self-referencing. CGIs offer emotional benefits by alleviating body image distress; low PBA proves most effective, while medium PBA is less so. They also provide cognitive advantages by reducing uncertainty consistently across all PBA levels. Notably, chain-mediating effects of self-referencing and body image distress, also self-referencing and uncertainty, were identified between PBA and purchase intention.
Hypothesis 4: CGIs alleviate body image distress (a); compared with those with high PBA, CGIs with medium PBA lead to higher body image distress (b), while CGIs with low PBA lead to lower body image distress (c).
Hypothesis 5: Body image distress mediates the relationship between PBA and purchase intention. 
Hypothesis 6: Self-referencing and body image distress plays a chain-mediating role between PBA and purchase intention.
Hypothesis 7: CGIs reduce perceived uncertainty (a); CGIs with low PBA are associated with higher uncertainty than those with medium- or high PBA (b).
Hypothesis 8: Uncertainty plays a mediating role in PBA's impact on purchase intention (PI). 
Hypothesis 9: Self-referencing and uncertainty play a chain-mediating role between PBA and purchase intention.

Findings revealed that medium and low PBA in CGIs reduced purchase intentions, mediated by self-referencing. CGIs offer emotional benefits by alleviating body image distress; low PBA proves most effective, while medium PBA is less so. They also provide cognitive advantages by reducing uncertainty consistently across all PBA levels. Notably, chain-mediating effects of self-referencing and body image distress, also self-referencing and uncertainty, were identified between PBA and purchase intention.
DOI: 10.17632/w3b34swmf9.1
title: Jessica Florence Raw Data

description: Biodiversity conservation play an important role in the development of agriculture and mitigation of climate change. However, agriculture practices have major implication biodiversity conservation through unsustainable land conversion and management. The hypothesis of this  data is that many of our smallholder farmers particularly cocoa farmers in West Africa are not aware of biodiversity its conservation and benefit they can derive from it. Findings from this showed that farmers were not knowledgeable of biodiversity and it benefits to the society, they (most the respondents) were aware of the strategies or appropriate management practice they can employ on their farms to reduce biodiversity loss. Analysis of the data showed that farmers awareness of biodiversity was influenced by educational level. Suggesting that respondents with higher educational level are more likely to get assess to information related to biodiversity conservation in the study area than respondents with lower educational backgrounds
This data can be interpreted that majority of smallholder farmers not only cocoa producers have limited knowledge about sustainable practices through the agriculture sector due lack of education.  Effort should be made by  government  agencies, stakeholders and and NGOs to initiate programs to educate and train rural farmers particularly smallholder cocoa farmers in West Africa on sustainable agricultural practices.
DOI: 10.17632/w3b34swmf9.2
title: Dataset on the perceptions of smallholder cocoa farmers on biodiversity conservation and climate change mitigation in West Africa

description: Biodiversity conservation play an important role in the development of agriculture and mitigation of climate change. However, agriculture practices have major implication biodiversity conservation through unsustainable land conversion and management. The hypothesis of this  data is that many of our smallholder farmers particularly cocoa farmers in West Africa are not aware of biodiversity its conservation and benefit they can derive from it. Findings from this showed that farmers were not knowledgeable of biodiversity and it benefits to the society, Most of the respondents were not aware of the strategies or appropriate management practice they can employ on their farms to reduce biodiversity loss. Analysis of the data showed that farmers awareness of biodiversity was influenced by educational level. Suggesting that respondents with higher educational level are more likely to get assess to information related to biodiversity conservation in the study area than respondents with lower educational backgrounds
This data can be interpreted that majority of smallholder farmers not only cocoa producers have limited knowledge about sustainable practices through the agriculture sector due lack of education and training.  Effort should be made by  government  agencies, stakeholders and NGOs to initiate programs to educate and train rural farmers particularly smallholder cocoa farmers in West Africa on sustainable agricultural practices that ensure biodiversity conservation as well as food security .
DOI: 10.6084/m9.figshare.24183522
title: Genome structure annotation of <i>Monochamus</i> <i>alternatus</i>

description: GFF file of genome annotation of <i>Monochamus</i> <i>alternatus</i>
DOI: 10.5281/zenodo.8370500
title: "Inverted" cyclic(alkyl)(amino)carbene ligands allow olefin metathesis with ethylene at parts-per-billion catalyst loading

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Chem Catalysis </em><strong>2023</strong><em>, 3, 100713.</em> https://doi.org/10.1016/j.checat.2023.100713 The research was supported by the National Science Centre, Poland (OPUS grant DEC-2017/27/B/ST5/02563).
DOI: 10.5281/zenodo.8370499
title: "Inverted" cyclic(alkyl)(amino)carbene ligands allow olefin metathesis with ethylene at parts-per-billion catalyst loading

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Chem Catalysis </em><strong>2023</strong><em>, 3, 100713.</em> https://doi.org/10.1016/j.checat.2023.100713 The research was supported by the National Science Centre, Poland (OPUS grant DEC-2017/27/B/ST5/02563).
DOI: 10.6084/m9.figshare.24183660
title: Amino acid sequences of <i>Monochamus</i> <i>alternatus</i><i> </i>protein-coding genes

description: Fasta file of amino acid sequences of <i>Monochamus</i> <i>alternatus</i><i> </i>protein-coding genes.
DOI: 10.6084/m9.figshare.19772155
title: Sequence and phylogenetic analysis

description: # Raw data BolA.fasta <br> # Sequences reduced to 90% with cdhit BolA.cdhit90.fasta <br> # Raw alignment (mafft auto) BolA.cdhit90.ma.fasta <br> # Trimmed alignment (trimal, -gt 0.5) BolA.cdhit90.ma.ta50.fasta <br> # Tree file (iqtree) BolA.cdhit90.ma.ta50.fasta.treefile.tre <br> <br> <br>
DOI: 10.22008/fk2/itdopc/a7r2rr
title: UK-DK_Central_North_Sea_strat_upd_colour_scheme_2014-11-11.pdf

description: :unav
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n.3
title: C28H36CuF6N8P
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1, and canonical SMILES descriptor[cheminf_000007]: F[P-](F)(F)(F)(F)F.CN(C(=Nc1cccc2c1nccc2)N(C)C)C.CN(C(=Nc1cccc2c1nccc2)N(C)C)C.[Cu+], and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-36076 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000025 | cyclic voltammetry (CV) CHMO:0000025 | cyclic voltammetry (CV) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n/chmo0000025.3
title: cyclic voltammetry (CV) ()
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: dataset for cyclic voltammetry (CV) CV (1 mM Cpd, vs RefE = Ag/AgNO3, 100 mV/s): E1/2, meas (DeltaEp) = -0.375 V (90 mV) [[Cu(TMGqu)2]+/2+].
DOI: 10.14272/uvlhgradyisrgz-uhfffaoysa-n/chmo0000025.4
title: cyclic voltammetry (CV) ()
title: InChI=1S/2C14H18N4.Cu.F6P/c2*1-17(2)14(18(3)4)16-12-9-5-7-11-8-6-10-15-13(11)12;;1-7(2,3,4,5)6/h2*5-10H,1-4H3;;/q;;+1;-1

description: dataset for cyclic voltammetry (CV) CV (1 mM Cpd, 1 mM Fc in MeCN, vs RefE = Ag/AgNO3, 100 mV/s): E1/2, meas (DeltaEp) = -0.373 V (85 mV) [[Cu(TMGqu)2]+/2+], 0.060 V (80 mV) [Fc/Fc+]. CV (1mM Cpd in MeCN, vs Fc/Fc+, 100 mV/s): E1/2,calc (DeltaEp) = -0.433 V (85 mV) [[Cu(TMGqu)2]+/2+].
DOI: 10.21942/uva.24182760.v1
title: Annotations & analyses of aspectual reduplication in NGT (corpus & elicited data)

description: This item contains annotations and analyses that are a part of the PhD project “Morphological reduplication in Sign Language of the Netherlands: A typological and theoretical perspective” (part of the research programme PhDs in the Humanities with project number PGW19.003, funded by the Dutch Research Council (NWO); PhD student: Cindy van Boven; supervisors: Dr. Roland Pfau, Dr. Silke Hamann). The topic of this specific study is aspectual reduplication in Sign Language of the Netherlands (NGT). The annotations were made for two types of video data: a corpus data set and an elicited data set. The Excel file 'aspectual reduplication - annotations' contains the annotations made for both data sets. A .csv version of the same file is also available. The PDF file 'README - aspectual reduplication - annotations explained' contains a guide through the Excel/.csv files, explaining more about the methods, the data sets, and the annotation values. The elicited data were gathered by means of an elicitation task. A complete English translation of the background questions, instructions, and items of this task can be found in the PDF file 'Aspect elicitation task - translated'. Finally, the statistical analyses of both data sets can be found in the file 'statistical analyses aspect.Rmd'. An HTML-version of this file is also available. The analyses were conducted in R (R Development Core Team. 2008. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org).
DOI: 10.5281/zenodo.4519657
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite paper which introduces this database. The citation will be added here after publication.
DOI: 10.5281/zenodo.4519656
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite the following paper which introduces this database: Lue et al (2021). DROP: Molecular voucher database for identification of Drosophila parasitoids. Molecular Ecology Resources, 21, 2437–2454. https://doi.org/10.1111/1755-0998.13435
DOI: 10.5281/zenodo.4749456
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite paper which introduces this database. The citation will be added here after publication.
DOI: 10.5281/zenodo.5525172
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite the following paper which introduces this database: Lue et al (2021). DROP: Molecular voucher database for identification of Drosophila parasitoids. Molecular Ecology Resources, 21, 2437–2454. https://doi.org/10.1111/1755-0998.13435
DOI: 10.5281/zenodo.8212975
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite the following paper which introduces this database: Lue et al (2021). DROP: Molecular voucher database for identification of Drosophila parasitoids. Molecular Ecology Resources, 21, 2437–2454. https://doi.org/10.1111/1755-0998.13435
DOI: 10.5281/zenodo.8370544
title: DROP: Molecular voucher database for identification of Drosophila parasitoids

description: A curated open-access molecular reference database for <em>Drosophila</em> parasitoids (DROP). Identifying <em>Drosophila</em> parasitoids is challenging and poses major impediment to realize the full potential of this model system in studies ranging from molecular mechanisms to food webs, and in biological control of <em>Drosophila suzukii</em>. In DROP, genetic data are linked to voucher specimens and, where possible, the voucher specimens are identified by taxonomists and vetted through direct comparison with primary type material. An updated taxonomic catalogue for the research community is also part of DROP. DROP offers accurate molecular identification and improves cross-referencing between individual studies that we hope will catalyze research on this diverse and fascinating model system. Our effort should also serve as an example for researchers facing similar molecular identification problems in other groups of organisms.
description: Please primarily cite the following paper which introduces this database: Lue et al (2021). DROP: Molecular voucher database for identification of Drosophila parasitoids. Molecular Ecology Resources, 21, 2437–2454. https://doi.org/10.1111/1755-0998.13435
DOI: 10.22008/fk2/itdopc
title: Standard lithostratigraphic scheme for the central North Sea area

description: Standard lithostratigraphic scheme for the central North Sea area compiled using UK, Norwegian and Danish sources
DOI: 10.6084/m9.figshare.24183702.v1
title: Untitled Item

description: Raw dataset
DOI: 10.57745/cqoehb
title: 0-dataPreparation.html

description: script for the first step of simulated dataset generation
DOI: 10.57745/fxkmqz
title: Outputs.zip

description: complete agronomic dataset from STICS model (origin data for simulated)
DOI: 10.57745/hjcpfw
title: simulated_1.rda

description: final simulated dataset
DOI: 10.57745/khpsl3
title: Meteo.zip

description: complete meteorological dataset from WACSGen model (origin data for simulated)
DOI: 10.57745/zmuhe9
title: s0-data_generation.html

description: script for the second step of simulated dataset generation
DOI: 10.57745/znnr61
title: data_truffles_CWD.rda

description: processed truffle dataset (CWD predictor)
DOI: 10.57745/0gelpb
title: Climatruf_PernesLesFontaines_15mois.tab

description: origin data for truffle dataset
DOI: 10.57745/83hdxb
title: LICENSE.md

description: LICENSE for the R code included in this repository (GPL-3)
DOI: 10.57745/91i0c6
title: data_truffles_P.rda

description: processed truffle dataset (P predictor)
DOI: 10.57745/bmslyf
title: truffles-data_generation.html

description: script to process truffle dataset
DOI: 10.57745/hkqkgj
title: data_truffles_Tmax.rda

description: processed truffle dataset (Tmax predictor)
DOI: 10.57745/lbasxg
title: data_truffles_PmETP.rda

description: processed truffle dataset (PmETP predictor)