cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1102021.10fu
title: SH1102021.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102023.10fu
title: SH1102023.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102028.10fu
title: SH1102028.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102031.10fu
title: SH1102031.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102032.10fu
title: SH1102032.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102035.10fu
title: SH1102035.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1102042.10fu
title: SH1102042.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.2rerf6
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Cotoneaster integerrimus"
 ]
}

 The dataset includes 96 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003844-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17461005
title: Data for "Origins of Graphite Resistivity: Decoupling Stacking Fault and Rotational Misorientation"
DOI: 10.5281/zenodo.17461004
title: Data for "Origins of Graphite Resistivity: Decoupling Stacking Fault and Rotational Misorientation"
DOI: 10.15468/dl.6mn8ym
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes",
 "Year 1948-2025"
 ]
}

 The dataset includes 94 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003846-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca7b65
title: Occurrence Download

description: A dataset containing 5276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 39c2c387-6880-47fb-8e9b-75cdca2d918e",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 5276 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003848-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxr27f
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Myricaria prostrata"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003849-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u56zh2
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Senecio vulgaris"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003850-251025141854904/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.29285741
title: Using genetic approaches to uncover the invasion history of bullfrogs in the Southwest

description: Eberle et al., 2025 (in prep) Population genetics of introduced bullfrogs (<i>Rana catesbeiana</i>) in New Mexico, USAIn this study, we investigated the invasion history of bullfrogs across their introduced range in New Mexico by evaluating their genetic composition. We aimed to answer the following objectives: (1) assess the level of genetic diversity and identify haplotypes within bullfrog populations in New Mexico, (2) compare genetic diversity of native and invasive bullfrog populations, (3) infer the number of introductions into New Mexico, and (4) identify potential native source populations.R SCRIPTS AND ANALYSESMann Whitney-U test for native vs. invasive populationsMann_whitney_u_data.csv - Input file with diversity indices by populationMann_whitney_U_bullfrogs.qmd - This script includes code for running a Shapiro normality test to ensure data is not normally distributed. It also includes code to run the Mann-Whitney U test and plots the results in a boxplot.Haplotype and Nucleotide Diversity Indices calculationNM_Bullfrog_Rscript - This script includes code for running haplotype and nucleotide diversity indices using sequence data as an input. Theta diversity indices calculation is also included in the code but not used in the study. Both input files are used in this code.NorthernGila33 - contains sequence data for Gila samplesNMonly_Alignment_Trimmed - contains sequence data for all NM samplesIQ-Tree RunIQ-Tree Run including one run to find best fit model and a second run to run the best fit model using 1000 bootstrap values. Files include output .log files including the commands and the input files in .fasta format.sequence_Raca_cytb_haplotypes - input file containing sequencessequence_Raca_cytb_haplotypes_bestmodel - log file for best-fit model findersequence_Raca_cytb_haplotypes_final_alignment alignment_shortened - log file running the best-fit modelAMOVAThese files in format (.arp) were used to run an AMOVA analysis in Arlequin 3.5. These files have been modified from existing files from Kamath et al. 2016 to include New Mexico sequences and other Rana catesbeiana cyt b sequences on Genbank. AMOVA compared each region of invasive and native populations to New Mexico populations.(.arp) files are directly input to Arlequin software. Files contain haplotypes and sample sizes for each region in order.(.hap) files are contained in same folder and include sequences and associated haplotype.Settings in Arlequin:<br>AMOVA: Locus by Locus AMOVA, 10,000 permutations, compute distance matrix by pairwise differencesPopulation comparisons: Compute pairwise FST, 10,000 permutations, significance level 0.05, compute distance matrix by pairwise differencesHaplotype network in PopArt softwaresequences_for_popart_haplotype_network - input file in nexus file format for PopArt containing sequencesHaplo_table_Inv_Nat_NM - input traits file for PopArt, including haplotype frequencies for chosen populationsQuestions? Contact me at ceberle17@unm.edu
DOI: 10.6084/m9.figshare.29285741.v1
title: Using genetic approaches to uncover the invasion history of bullfrogs in the Southwest

description: Eberle et al., 2025 (in prep) Population genetics of introduced bullfrogs (<i>Rana catesbeiana</i>) in New Mexico, USAIn this study, we investigated the invasion history of bullfrogs across their introduced range in New Mexico by evaluating their genetic composition. We aimed to answer the following objectives: (1) assess the level of genetic diversity and identify haplotypes within bullfrog populations in New Mexico, (2) compare genetic diversity of native and invasive bullfrog populations, (3) infer the number of introductions into New Mexico, and (4) identify potential native source populations.R SCRIPTS AND ANALYSESMann Whitney-U test for native vs. invasive populationsMann_whitney_u_data.csv - Input file with diversity indices by populationMann_whitney_U_bullfrogs.qmd - This script includes code for running a Shapiro normality test to ensure data is not normally distributed. It also includes code to run the Mann-Whitney U test and plots the results in a boxplot. Haplotype and Nucleotide Diversity Indices calculationNM_Bullfrog_Rscript - This script includes code for running haplotype and nucleotide diversity indices using sequence data as an input. Theta diversity indices calculation is also included in the code but not used in the study. Both input files are used in this code.NorthernGila33 - contains sequence data for Gila samplesNMonly_Alignment_Trimmed - contains sequence data for all NM samplesIQ-Tree RunIQ-Tree Run including one run to find best fit model and a second run to run the best fit model using 1000 bootstrap values. Files include output .log files including the commands and the input files in .fasta format.sequence_Raca_cytb_haplotypes - input file containing sequencessequence_Raca_cytb_haplotypes_bestmodel - log file for best-fit model findersequence_Raca_cytb_haplotypes_final_alignment alignment_shortened - log file running the best-fit modelAMOVAThese files in format (.arp) were used to run an AMOVA analysis in Arlequin 3.5. These files have been modified from existing files from Kamath et al. 2016 to include New Mexico sequences and other Rana catesbeiana cyt b sequences on Genbank. AMOVA compared each region of invasive and native populations to New Mexico populations.(.arp) files are directly input to Arlequin software. Files contain haplotypes and sample sizes for each region in order.(.hap) files are contained in same folder and include sequences and associated haplotype.Settings in Arlequin:<br>AMOVA: Locus by Locus AMOVA, 10,000 permutations, compute distance matrix by pairwise differencesPopulation comparisons: Compute pairwise FST, 10,000 permutations, significance level 0.05, compute distance matrix by pairwise differences<br>Questions? Contact me at ceberle17@unm.edu
DOI: 10.6084/m9.figshare.29285741.v2
title: Using genetic approaches to uncover the invasion history of bullfrogs in the Southwest

description: Eberle et al., 2025 (in prep) Population genetics of introduced bullfrogs (<i>Rana catesbeiana</i>) in New Mexico, USAIn this study, we investigated the invasion history of bullfrogs across their introduced range in New Mexico by evaluating their genetic composition. We aimed to answer the following objectives: (1) assess the level of genetic diversity and identify haplotypes within bullfrog populations in New Mexico, (2) compare genetic diversity of native and invasive bullfrog populations, (3) infer the number of introductions into New Mexico, and (4) identify potential native source populations.R SCRIPTS AND ANALYSESMann Whitney-U test for native vs. invasive populationsMann_whitney_u_data.csv - Input file with diversity indices by populationMann_whitney_U_bullfrogs.qmd - This script includes code for running a Shapiro normality test to ensure data is not normally distributed. It also includes code to run the Mann-Whitney U test and plots the results in a boxplot.Haplotype and Nucleotide Diversity Indices calculationNM_Bullfrog_Rscript - This script includes code for running haplotype and nucleotide diversity indices using sequence data as an input. Theta diversity indices calculation is also included in the code but not used in the study. Both input files are used in this code.NorthernGila33 - contains sequence data for Gila samplesNMonly_Alignment_Trimmed - contains sequence data for all NM samplesIQ-Tree RunIQ-Tree Run including one run to find best fit model and a second run to run the best fit model using 1000 bootstrap values. Files include output .log files including the commands and the input files in .fasta format.sequence_Raca_cytb_haplotypes - input file containing sequencessequence_Raca_cytb_haplotypes_bestmodel - log file for best-fit model findersequence_Raca_cytb_haplotypes_final_alignment alignment_shortened - log file running the best-fit modelAMOVAThese files in format (.arp) were used to run an AMOVA analysis in Arlequin 3.5. These files have been modified from existing files from Kamath et al. 2016 to include New Mexico sequences and other Rana catesbeiana cyt b sequences on Genbank. AMOVA compared each region of invasive and native populations to New Mexico populations.(.arp) files are directly input to Arlequin software. Files contain haplotypes and sample sizes for each region in order.(.hap) files are contained in same folder and include sequences and associated haplotype.Settings in Arlequin:<br>AMOVA: Locus by Locus AMOVA, 10,000 permutations, compute distance matrix by pairwise differencesPopulation comparisons: Compute pairwise FST, 10,000 permutations, significance level 0.05, compute distance matrix by pairwise differencesHaplotype network in PopArt softwaresequences_for_popart_haplotype_network - input file in nexus file format for PopArt containing sequencesHaplo_table_Inv_Nat_NM - input traits file for PopArt, including haplotype frequencies for chosen populationsQuestions? Contact me at ceberle17@unm.edu
DOI: 10.15468/dl.u9fc5n
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Endemic flora of Nepal at KATH"
 ]
}

 The dataset includes 274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003852-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhkqkz
title: Occurrence Download

description: A dataset containing 1635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Bolitoglossa adspersa"
 ]
}

 The dataset includes 1635 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003853-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tvwxr
title: Occurrence Download

description: A dataset containing 956438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Papua New Guinea",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 956438 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003829-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13526134
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.mp6yz9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Suaeda australis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003857-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf3xyg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Jurinea kaschgarica"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003856-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gh8aj
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Salsola nitraria"
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003858-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.365x5d
title: Occurrence Download

description: A dataset containing 802313 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "not" : {
 "PublishingCountry" : [
 "is Norway"
 ]
 }
 },
 "Country is Svalbard and Jan Mayen",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is (Table 3) Relative abundance of Azolla spp., peridinoid dinocysts, gonyaulacoid dinocysts, non-saccate pollen, bisaccate pollen and spores from the Lomonosov Ridge during different Arctic coring expeditions"
 ]
 }
 }
 ]
}

 The dataset includes 802313 records from 810 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003800-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.