Data from Selection leads to false inferences of introgression using popular methods Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.6084/m9.figshare.24354277
This includes data associated with the paper Selection leads to false inferences of introgression using popular methods. Data include simulated data files in various formats. Data are further described in the GitHub repository https://github.com/meganlsmith/selectionandmigration. Note that tar files had different names originally, but could not be stored in separate folders here. For this reason, please move things to individual folders before unpacking, as some items may have identical names otherwise.MS-style data from uniform simulations:uniform_params.tar.gz (parameters)uniform_testingSims_1250.tar.gz (low divergence)uniform_testingSims_5000.tar.gz (medium divergence)uniform_testingSims_20000.tar.gz (high divergence)MS-style data from complex simulations:complex_params.tar.gz (parameters)complex_testingSims_1250.tar.gz (low divergence)complex_testingSims_5000.tar.gz (medium divergence)complex_testingSims_20000.tar.gz (high divergence)complex_testingSims_200000.tar.gz (high divergence, scaling = 10)Site Frequency Spectra:sfs-uniform-testing-redo-revisions.tar.gz (uniform simulation SFS)sfs-complex-testing-redo-revisions.tar.gz (complex simulation SFS)Alignments:bpp_alignments.tar.gz
Related Topics
- Type
- dataset
- Language
- en
- Landing Page
- https://doi.org/10.6084/m9.figshare.24354277
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394076167
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394076167Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.6084/m9.figshare.24354277Digital Object Identifier
- Title
-
Data from Selection leads to false inferences of introgression using popular methodsWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Megan L. Smith, Matthew W. HahnList of authors in order
- Landing page
-
https://doi.org/10.6084/m9.figshare.24354277Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.6084/m9.figshare.24354277Direct OA link when available
- Concepts
-
Introgression, Selection (genetic algorithm), Statistics, Computer science, Artificial intelligence, Evolutionary biology, Biology, Mathematics, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4394076167 |
|---|---|
| doi | https://doi.org/10.6084/m9.figshare.24354277 |
| ids.doi | https://doi.org/10.6084/m9.figshare.24354277 |
| ids.openalex | https://openalex.org/W4394076167 |
| fwci | |
| type | dataset |
| title | Data from Selection leads to false inferences of introgression using popular methods |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12535 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.32249999046325684 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Machine Learning and Data Classification |
| topics[1].id | https://openalex.org/T11871 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.30489999055862427 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2613 |
| topics[1].subfield.display_name | Statistics and Probability |
| topics[1].display_name | Advanced Statistical Methods and Models |
| topics[2].id | https://openalex.org/T10594 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.30469998717308044 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1311 |
| topics[2].subfield.display_name | Genetics |
| topics[2].display_name | Genetic and phenotypic traits in livestock |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C8182607 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7601935267448425 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2094405 |
| concepts[0].display_name | Introgression |
| concepts[1].id | https://openalex.org/C81917197 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6665705442428589 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q628760 |
| concepts[1].display_name | Selection (genetic algorithm) |
| concepts[2].id | https://openalex.org/C105795698 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4082622528076172 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[2].display_name | Statistics |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.39620277285575867 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3408345580101013 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C78458016 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3389204144477844 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q840400 |
| concepts[5].display_name | Evolutionary biology |
| concepts[6].id | https://openalex.org/C86803240 |
| concepts[6].level | 0 |
| concepts[6].score | 0.3179449439048767 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[6].display_name | Biology |
| concepts[7].id | https://openalex.org/C33923547 |
| concepts[7].level | 0 |
| concepts[7].score | 0.29723241925239563 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[7].display_name | Mathematics |
| concepts[8].id | https://openalex.org/C54355233 |
| concepts[8].level | 1 |
| concepts[8].score | 0.12102466821670532 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[8].display_name | Genetics |
| concepts[9].id | https://openalex.org/C104317684 |
| concepts[9].level | 2 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[9].display_name | Gene |
| keywords[0].id | https://openalex.org/keywords/introgression |
| keywords[0].score | 0.7601935267448425 |
| keywords[0].display_name | Introgression |
| keywords[1].id | https://openalex.org/keywords/selection |
| keywords[1].score | 0.6665705442428589 |
| keywords[1].display_name | Selection (genetic algorithm) |
| keywords[2].id | https://openalex.org/keywords/statistics |
| keywords[2].score | 0.4082622528076172 |
| keywords[2].display_name | Statistics |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.39620277285575867 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.3408345580101013 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/evolutionary-biology |
| keywords[5].score | 0.3389204144477844 |
| keywords[5].display_name | Evolutionary biology |
| keywords[6].id | https://openalex.org/keywords/biology |
| keywords[6].score | 0.3179449439048767 |
| keywords[6].display_name | Biology |
| keywords[7].id | https://openalex.org/keywords/mathematics |
| keywords[7].score | 0.29723241925239563 |
| keywords[7].display_name | Mathematics |
| keywords[8].id | https://openalex.org/keywords/genetics |
| keywords[8].score | 0.12102466821670532 |
| keywords[8].display_name | Genetics |
| language | en |
| locations[0].id | doi:10.6084/m9.figshare.24354277 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | dataset |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.6084/m9.figshare.24354277 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5076358224 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6362-9354 |
| authorships[0].author.display_name | Megan L. Smith |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Megan Smith |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5038671526 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5731-8808 |
| authorships[1].author.display_name | Matthew W. Hahn |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Matthew Hahn |
| authorships[1].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.6084/m9.figshare.24354277 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Data from Selection leads to false inferences of introgression using popular methods |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T12535 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.32249999046325684 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Machine Learning and Data Classification |
| related_works | https://openalex.org/W3171334450, https://openalex.org/W1778793768, https://openalex.org/W4233903139, https://openalex.org/W4200456906, https://openalex.org/W2175517687, https://openalex.org/W4306989334, https://openalex.org/W4393435933, https://openalex.org/W4389300316, https://openalex.org/W2621246910, https://openalex.org/W4205757195 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.6084/m9.figshare.24354277 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | dataset |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.6084/m9.figshare.24354277 |
| primary_location.id | doi:10.6084/m9.figshare.24354277 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | dataset |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.6084/m9.figshare.24354277 |
| publication_date | 2024-01-01 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.= | 95 |
| abstract_inverted_index.as | 62 |
| abstract_inverted_index.be | 45 |
| abstract_inverted_index.in | 22, 29, 47 |
| abstract_inverted_index.of | 12 |
| abstract_inverted_index.to | 9, 57 |
| abstract_inverted_index.For | 51 |
| abstract_inverted_index.are | 26 |
| abstract_inverted_index.but | 42 |
| abstract_inverted_index.had | 38 |
| abstract_inverted_index.may | 65 |
| abstract_inverted_index.not | 44 |
| abstract_inverted_index.tar | 36 |
| abstract_inverted_index.the | 5, 30 |
| abstract_inverted_index.(low | 75, 86 |
| abstract_inverted_index.Data | 17, 25 |
| abstract_inverted_index.Note | 34 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.data | 2, 20, 70, 81 |
| abstract_inverted_index.from | 71, 82 |
| abstract_inverted_index.have | 66 |
| abstract_inverted_index.move | 55 |
| abstract_inverted_index.some | 63 |
| abstract_inverted_index.that | 35 |
| abstract_inverted_index.this | 52 |
| abstract_inverted_index.with | 4 |
| abstract_inverted_index.(high | 79, 90, 92 |
| abstract_inverted_index.could | 43 |
| abstract_inverted_index.false | 10 |
| abstract_inverted_index.files | 21, 37 |
| abstract_inverted_index.here. | 50 |
| abstract_inverted_index.items | 64 |
| abstract_inverted_index.leads | 8 |
| abstract_inverted_index.names | 40, 68 |
| abstract_inverted_index.paper | 6 |
| abstract_inverted_index.using | 14 |
| abstract_inverted_index.GitHub | 31 |
| abstract_inverted_index.before | 60 |
| abstract_inverted_index.please | 54 |
| abstract_inverted_index.stored | 46 |
| abstract_inverted_index.things | 56 |
| abstract_inverted_index.(medium | 77, 88 |
| abstract_inverted_index.10)Site | 96 |
| abstract_inverted_index.complex | 83 |
| abstract_inverted_index.folders | 49, 59 |
| abstract_inverted_index.further | 27 |
| abstract_inverted_index.include | 18 |
| abstract_inverted_index.popular | 15 |
| abstract_inverted_index.reason, | 53 |
| abstract_inverted_index.scaling | 94 |
| abstract_inverted_index.uniform | 72 |
| abstract_inverted_index.various | 23 |
| abstract_inverted_index.(complex | 102 |
| abstract_inverted_index.(uniform | 99 |
| abstract_inverted_index.formats. | 24 |
| abstract_inverted_index.includes | 1 |
| abstract_inverted_index.separate | 48 |
| abstract_inverted_index.Frequency | 97 |
| abstract_inverted_index.described | 28 |
| abstract_inverted_index.different | 39 |
| abstract_inverted_index.identical | 67 |
| abstract_inverted_index.simulated | 19 |
| abstract_inverted_index.associated | 3 |
| abstract_inverted_index.individual | 58 |
| abstract_inverted_index.inferences | 11 |
| abstract_inverted_index.repository | 32 |
| abstract_inverted_index.simulation | 100, 103 |
| abstract_inverted_index.unpacking, | 61 |
| abstract_inverted_index.divergence, | 93 |
| abstract_inverted_index.originally, | 41 |
| abstract_inverted_index.<i>Selection | 7 |
| abstract_inverted_index.methods</i>. | 16 |
| abstract_inverted_index.introgression | 13 |
| abstract_inverted_index.otherwise.MS-style | 69 |
| abstract_inverted_index.divergence)MS-style | 80 |
| abstract_inverted_index.simulations:complex_params.tar.gz | 84 |
| abstract_inverted_index.simulations:uniform_params.tar.gz | 73 |
| abstract_inverted_index.SFS)Alignments:bpp_alignments.tar.gz<br> | 104 |
| abstract_inverted_index.divergence)complex_testingSims_5000.tar.gz | 87 |
| abstract_inverted_index.divergence)uniform_testingSims_5000.tar.gz | 76 |
| abstract_inverted_index.(parameters)complex_testingSims_1250.tar.gz | 85 |
| abstract_inverted_index.(parameters)uniform_testingSims_1250.tar.gz | 74 |
| abstract_inverted_index.divergence)complex_testingSims_20000.tar.gz | 89 |
| abstract_inverted_index.divergence)uniform_testingSims_20000.tar.gz | 78 |
| abstract_inverted_index.divergence)complex_testingSims_200000.tar.gz | 91 |
| abstract_inverted_index.SFS)sfs-complex-testing-redo-revisions.tar.gz | 101 |
| abstract_inverted_index.Spectra:sfs-uniform-testing-redo-revisions.tar.gz | 98 |
| abstract_inverted_index.https://github.com/meganlsmith/selectionandmigration. | 33 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |