Field
Value
Language
dc.contributor.author
Carson, Bryce
datacite.creator.affiliationIdentifier
https://ror.org/04evsam41
en_US
datacite.creator.affiliation
Mount Royal University
en_US
datacite.creator.nameIdentifier
https://orcid.org/0000-0002-1362-2998
en_US
dc.date.accessioned
2022-06-28T21:58:11Z
dc.date.available
2022-06-28T21:58:11Z
dc.date.issued
2022-06-28
dc.identifier.uri
https://www.frdr-dfdr.ca/repo/dataset/88dae8ea-eb2f-43c2-8c3c-38ba5ca67fd1
dc.identifier.uri
https://doi.org/10.20383/102.0526
dc.description
Evolution model output data simulating the impact of custom mutations upon local
adaptation. Dataset also includes an SQLite3 database containing analyzed
results of the evolutionary model. Methodological information is in the
`README.md` file in the dataset, and usage instructions and workflow information
for the code can be found at
<https://github.com/bryce-carson/APCD10Cr_Carson_2022>. Model data was derived
using SLiM v3.3.2. See Haller and Messer (2019)
https://doi.org/10.1093/molbev/msy228 for additional information.
en_US
dc.publisher
Federated Research Data Repository / dépôt fédéré de données de recherche
dc.rights
Creative Commons Attribution 4.0 International (CC BY 4.0)
en_US
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
en_US
dc.subject
local adaptation
en_US
dc.subject
antagonistic pleiotropy
en_US
dc.subject
conditionally deleterious
en_US
dc.subject
conditionally deleterious mutation
en_US
dc.subject
continuous trait
en_US
dc.subject
population genetics
en_US
dc.subject
evolutionary biology
en_US
dc.title
SLiM 3 outputs of in silico local adaptation with conditonally deleterious mutations and antagonistic pleiotropy in a two-deme model
en_US
globus.shared_endpoint.name
f163c1b3-9c88-42f6-a7bb-5839ed6c4063
globus.shared_endpoint.path
/1/published/publication_521/
datacite.publicationyear
2022
datacite.contributor.Supervisor
Jon Mee
datacite.date.Collected
2020-05-01/2021-12-31
datacite.resourcetype
Dataset
en_US
datacite.relatedidentifier.IsCitedBy
Mee, J.A., Carson, B.A., & Yeaman, S.M. (2022) The accumulation of conditionally deleterious mutational load is augmented in regions linked to adaptive loci. BioRXiv manuscript in preparation
datacite.relatedidentifier.IsCitedBy
https://github.com/bryce-carson/APCD10Cr_Carson_2022
datacite.relatedidentifier.IsDerivedFrom
https://github.com/bryce-carson/APCD10Cr_Carson_2022
datacite.fundingReference.funderIdentifier
en_US
datacite.fundingReference.funderName
Natural Sciences and Engineering Research Council of Canada (NSERC)
en_US
datacite.fundingReference.awardNumber
USRA-549965-2020
en_US
datacite.fundingReference.awardTitle
Undergraduate Student Research Award (USRA)
en_US
datacite.fundingReference.awardNumber
RGPIN-2019-04351
en_US
datacite.fundingReference.awardTitle
Discovery Grant
en_US
frdr.crdc.code
RDF1060503
en_US
frdr.crdc.group_en
Biological sciences
en_US
frdr.crdc.class_en
Biological evolution
en_US
frdr.crdc.field_en
Biological adaptation
en_US
frdr.crdc.group_fr
Sciences biologiques
fr_CA
frdr.crdc.class_fr
Biologie de l'évolution
fr_CA
frdr.crdc.field_fr
Adaptation biologique
fr_CA
datacite.description.other
We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), funding reference number USRA-549965-2020 and RGPIN-2019-04351.
Cette recherche a été financée par le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG), [numéro de référence USRA-549965-2020 et RGPIN-2019-04351.