cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0189148.10fu
title: SH0189148.10FU

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/sh0189149.10fu
title: SH0189149.10FU

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/sh0189150.10fu
title: SH0189150.10FU

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/sh0189151.10fu
title: SH0189151.10FU

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/sh0189152.10fu
title: SH0189152.10FU

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/sh0189153.10fu
title: SH0189153.10FU

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/sh0189154.10fu
title: SH0189154.10FU

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/sh0189155.10fu
title: SH0189155.10FU

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: 10.6084/m9.figshare.26610768
title: Additional file 1 of Extant thrips diverged in the early tertiary period

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26610771.v1
title: Additional file 2 of Extant thrips diverged in the early tertiary period

description: Supplementary Material 2
DOI: 10.15468/dl.rjvyzz
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Herbarium GB, University of Gothenburg, Herbario Amazónico Colombiano, Herbario Nacional Colombiano (COL), Herbario Universidad de Antioquia (HUA), Herbario Universidad de Caldas - FAUC, Herbario Pontificia Universidad Javeriana, Herbario del Museo de Historia Natural C.J. Marinkelle, Colección Herbario Federico Medem Bogotá - FMB)",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum melongena L."
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067532-240626123714530/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.26572519
title: Additional file 2 of The ELF3 transcription factor is associated with an epithelial phenotype and represses epithelial-mesenchymal transition

description: Additional file 2: Table S1.
DOI: 10.6084/m9.figshare.26572519.v1
title: Additional file 2 of The ELF3 transcription factor is associated with an epithelial phenotype and represses epithelial-mesenchymal transition

description: Additional file 2: Table S1.
DOI: 10.6084/m9.figshare.26688425
title: Additional file 1 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 1. WGS analyses and SNP discovery.
DOI: 10.6084/m9.figshare.26688428
title: Additional file 2 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 2. Mapping probes to reference genomes.
DOI: 10.6084/m9.figshare.26688431
title: Additional file 3 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 3. Segregation analysis from laboratory crosses.
DOI: 10.6084/m9.figshare.26688434
title: Additional file 4 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 4. Comparing genotypes of samples genotypes with WGS and chip.
DOI: 10.6084/m9.figshare.26688434.v1
title: Additional file 4 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 4. Comparing genotypes of samples genotypes with WGS and chip.
DOI: 10.6084/m9.figshare.26688437
title: Additional file 5 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 5. Comparing the genotypes of replicate samples.
DOI: 10.6084/m9.figshare.26688440
title: Additional file 6 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 6. Functional annotation of SNPs and chip bias evaluation.
DOI: 10.6084/m9.figshare.26688443
title: Additional file 7 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 7. Quality control for wild samples genotyped with the chip.
DOI: 10.6084/m9.figshare.26688443.v1
title: Additional file 7 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 7. Quality control for wild samples genotyped with the chip.
DOI: 10.6084/m9.figshare.26688446
title: Additional file 8 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 8. Linkage analysis with PopLDdecay.
DOI: 10.6084/m9.figshare.26688446.v1
title: Additional file 8 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 8. Linkage analysis with PopLDdecay.
DOI: 10.6084/m9.figshare.26688449
title: Additional file 9 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 9. Admixture analysis.
DOI: 10.6084/m9.figshare.26688449.v1
title: Additional file 9 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 9. Admixture analysis.
DOI: 10.6084/m9.figshare.26688452
title: Additional file 10 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 10. LEA analysis.
DOI: 10.6084/m9.figshare.26688452.v1
title: Additional file 10 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 10. LEA analysis.
DOI: 10.6084/m9.figshare.26688455
title: Additional file 11 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 11. fastStructure analysis.
DOI: 10.6084/m9.figshare.26688455.v1
title: Additional file 11 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 11. fastStructure analysis.
DOI: 10.6084/m9.figshare.26688458
title: Additional file 12 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 12. Neural Admixture analysis.
DOI: 10.6084/m9.figshare.26688458.v1
title: Additional file 12 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 12. Neural Admixture analysis.
DOI: 10.6084/m9.figshare.26688461
title: Additional file 13 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 13. Interpolation of admixture matrices over Asia.
DOI: 10.6084/m9.figshare.26688461.v1
title: Additional file 13 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 13. Interpolation of admixture matrices over Asia.
DOI: 10.6084/m9.figshare.26688464
title: Additional file 14 of A genotyping array for the globally invasive vector mosquito, Aedes albopictus

description: Additional file 14. Evaluating the impact of chip bias with LEA and PCA.
DOI: 10.15468/dl.6n5px4
title: Occurrence Download

description: A dataset containing 4930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Sphagnum capillifolium",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 4930 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008596-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewvwa7
title: Occurrence Download

description: A dataset containing 5563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mercenaria mercenaria (Linnaeus, 1758)"
 ]
}

 The dataset includes 5563 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008599-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26re6x
title: Occurrence Download

description: A dataset containing 14327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepidium densiflorum Schrad.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 14327 records from 361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008597-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/rrrv-wf13
title: GA-SA-3Opt

description: To evaluate the efficiency of the GA-SA3-opt algorithm, problems from the TSPLIB standard library are selected for simulation and testing. The computational environment is configured with an Intel i5-10200H 2.60GHz CPU and MATLAB 9.0.0.341360 (R2016a) 64-bit. First, the convergence speed of the algorithms is tested using the eil101 problem from TSPLIB. The optimal paths for each algorithm applied to the Eil101 problem are shown in figure 9. The machining starting point is located at the centre and four corners of the rectangular outer frame. The GA, SA, 3-opt, and GASA3-opt algorithms are applied for path optimization, and the results are presented in Table 4. In this paper, the machining starting point is at the origin of the workpiece coordinate system. The optimization results of the algorithms are shown in Figure. 11. Figure and table are in this paper.
DOI: 10.15468/dl.xv2c26
title: Occurrence Download

description: A dataset containing 1826501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1826501 records from 3733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021627-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f97ntv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schmaltzia Desv. ex Small"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072121-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qtnfr
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus greggii (A.DC.) Trel."
 ]
}

 The dataset includes 705 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061863-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv8ray
title: Occurrence Download

description: A dataset listing the 221061 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset's 221061 records were derived from 3344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009945-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14145585
title: Mesoscopic MRI at 0.35 mm isotropic resolution of living human brains

description: Work in progress...
DOI: 10.5281/zenodo.14131612
title: Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome

description: This is the repository associated with the manuscript Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome. It contains all data files used for figures presented in the manuscript. The code to reproduce the files can be found on GitHub.

 

Files

raw_host-associated_1.asvs.tsv --> ASV table, host-associated samplesraw_host-associated_2.asvs.tsv --> ASV table, host-associated samplesraw_free-living_1.asvs.tsv     --> ASV table, Sterivex samplesraw_free-living_2.asvs.tsv     --> ASV table, Sterivex samplesmetadata_host-associated.csv   --> metadata, host-associated samplesmetadata_free-living.csv       --> ASV table, Sterivex samplesasv_dat_taxinfo.tsv            --> taxonomy annotated using SILVA v138.1asv_bctab.tsv                  --> square-root transformed Bray-Curtis dissimilarities asv_richtab.tsv                --> Hill number diversity indicesasv_shared.tsv                 --> number of shared ASVspathway_list_cat.csv           --> KEGG pathway list with hand-annotated categoriesKEGG_path_to_ko.tsv            --> KEGG file mapping pathways to KOs
DOI: 10.5281/zenodo.14131611
title: Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome

description: This is the repository associated with the manuscript Host-level biodiversity shapes the dynamics and networks within the coral reef microbiome. It contains all data files used for figures presented in the manuscript. The code to reproduce the files can be found on GitHub.

 

Files

raw_host-associated_1.asvs.tsv --> ASV table, host-associated samplesraw_host-associated_2.asvs.tsv --> ASV table, host-associated samplesraw_free-living_1.asvs.tsv     --> ASV table, Sterivex samplesraw_free-living_2.asvs.tsv     --> ASV table, Sterivex samplesmetadata_host-associated.csv   --> metadata, host-associated samplesmetadata_free-living.csv       --> ASV table, Sterivex samplesasv_dat_taxinfo.tsv            --> taxonomy annotated using SILVA v138.1asv_bctab.tsv                  --> square-root transformed Bray-Curtis dissimilarities asv_richtab.tsv                --> Hill number diversity indicesasv_shared.tsv                 --> number of shared ASVspathway_list_cat.csv           --> KEGG pathway list with hand-annotated categoriesKEGG_path_to_ko.tsv            --> KEGG file mapping pathways to KOs
DOI: 10.15468/dl.md5cbk
title: Occurrence Download

description: A dataset containing 11724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.50914 49.4865,0.85173 50.53019,2.54346 51.46705,1.7991 53.6068,-1.85502 56.28722,-1.17833 58.01206,-1.71969 59.41745,-4.0881 59.41745,-7.60688 58.51041,-8.41891 57.28791,-9.2986 54.52018,-5.44148 53.92678,-6.52418 49.92412,-5.50914 49.4865))",
 "HasGeospatialIssue is false",
 "TaxonKey is Martes martes (Linnaeus, 1758)"
 ]
}

 The dataset includes 11724 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016457-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.