cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.98e6rr
title: Occurrence Download

description: A dataset containing 9882 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grus vipio"
 ]
}

 The dataset includes 9882 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041824-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.26892.03204
title: rotovap
DOI: 10.15468/dl.537e7t
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 611 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022457-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd5tg3
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022459-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fg4qa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022458-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e9k7k
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ozotoceros bezoarticus"
 ]
}

 The dataset includes 72 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022461-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8mw8p
title: Occurrence Download

description: A dataset containing 9524 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phylogenomics and the rise of the angiosperms"
 ]
}

 The dataset includes 9524 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022460-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fheggd
title: Occurrence Download

description: A dataset containing 790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 790 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022462-250920141307145/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.30225295
title: <b>Data file 3</b> Genomic comparison of strain PBL-D1 against all available genomes of <i>Gaetbulibacter</i> spp. using digital DNA-DNA hybridisation (dDDH) and average nucleotide identity (ANI).

description: <b>Title:</b><b> </b>­­Genome sequence of <i>Gaetbulibacter</i> sp. PBL-D1 isolated from Batu Laut beach in Selangor, Malaysia: insights into glycoside hydrolase repertoires<b>Data file 3 </b>Genomic comparison of strain PBL-D1 against all available genomes of<i> Gaetbulibacter </i>spp. using digital DNA-DNA hybridisation (dDDH) and average nucleotide identity (ANI).
DOI: 10.6084/m9.figshare.30225295.v1
title: <b>Data file 3</b> Genomic comparison of strain PBL-D1 against all available genomes of <i>Gaetbulibacter</i> spp. using digital DNA-DNA hybridisation (dDDH) and average nucleotide identity (ANI).

description: <b>Title:</b><b> </b>­­Genome sequence of <i>Gaetbulibacter</i> sp. PBL-D1 isolated from Batu Laut beach in Selangor, Malaysia: insights into glycoside hydrolase repertoires<b>Data file 3 </b>Genomic comparison of strain PBL-D1 against all available genomes of<i> Gaetbulibacter </i>spp. using digital DNA-DNA hybridisation (dDDH) and average nucleotide identity (ANI).
DOI: 10.5281/zenodo.17212719
title: TARIX – BUGUNIMIZ, ERTAMIZ, KELAJAGIMIZ

description: Har birimiz o‘quvchi bo‘lganmiz va maktab fanlari qatorida tarixni ham xohlaymizmi, yo‘q-mi, o‘qiganmiz. Hali so‘zim  tugamasdan,  qattiqqo‘l o‘qituvchi-yu, zerikarli tarix darsi, soat millariga termulgan ko‘zlaringizni yodga olgandirsiz. Fikringiz-ga biroz qo‘shilaman. Aslini olganda esa, tarix – bugunimiz, ertamiz, kelajagimiz. Biz esa uning yaratuvchilarimiz.  Bugungi kun, undagi islohotlar, yaratilayotgan  ixtirolar,  innovatsiyalar  vaqtlar o‘tgach  tarixga  aylanadi.  Nima deb o‘ylaysiz, ana shu biz uchun qadrli bo‘lgan tarix qadrsizlanmasmikan?
DOI: 10.5281/zenodo.17212720
title: TARIX – BUGUNIMIZ, ERTAMIZ, KELAJAGIMIZ

description: Har birimiz o‘quvchi bo‘lganmiz va maktab fanlari qatorida tarixni ham xohlaymizmi, yo‘q-mi, o‘qiganmiz. Hali so‘zim  tugamasdan,  qattiqqo‘l o‘qituvchi-yu, zerikarli tarix darsi, soat millariga termulgan ko‘zlaringizni yodga olgandirsiz. Fikringiz-ga biroz qo‘shilaman. Aslini olganda esa, tarix – bugunimiz, ertamiz, kelajagimiz. Biz esa uning yaratuvchilarimiz.  Bugungi kun, undagi islohotlar, yaratilayotgan  ixtirolar,  innovatsiyalar  vaqtlar o‘tgach  tarixga  aylanadi.  Nima deb o‘ylaysiz, ana shu biz uchun qadrli bo‘lgan tarix qadrsizlanmasmikan?
DOI: 10.15468/dl.zm5tyt
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022467-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4r2tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Congo, Democratic Republic of the",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022466-250920141307145/datasets/export for details.
DOI: 10.15468/dl.fpe8z4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Youngia japonica",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022468-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwxrea
title: Occurrence Download

description: A dataset containing 2475626809 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chordata"
 ]
}

 The dataset includes 2475626809 records from 31452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022345-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkck4b
title: Occurrence Download

description: A dataset containing 6820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tajikistan",
 "DatasetKey is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 6820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068451-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15736266
title: Temperature and Biodiversity Regulate the Robustness of Plant-Microbe Networks in Natural Forests at Large Scale

description: Supporting datasets and codes for manuscript "Temperature and Biodiversity Regulate the Robustness of Plant-Microbe Networks in Natural Forests at Large Scale".

-----26_local_IDEN_property_summary_all.txt  # Network properties summary for 26 plant-microbe networks-----Bacteria_uparse_Classifier_of_16srrna.txt  # Taxonomy file for microbial OTUs in communities-----plant_for_network_ncbi_taxnonomy.txt  # Taxonomy file for plant species-----RawInputs # Raw files including plant community and microbial community for each forest site, which was used to generate plant-microbe networks in iNAP(https://inap.denglab.org.cn)--------------BDGS_Filtered_matrix_with_majority.txt  # BDGS forest site as an example-----Results  # Generated plant-microbe network results, including network file and node files--------------BDGS_SpiecEasi_bipartite_cytoscape.sif   # Network file of plant-microbe networks for BDGS forest site--------------BDGS_SpiecEasi_bipartite_cytoscape_node_FG.txt   # Node attribute file of plant-microbe networks for BDGS forest site.

# Codes for conducting analysis and generating plots-----Plots_bipartite_networks.R  # Codes for Figure 1 of plant-microbe networks-----Plots_correlations.R # Codes for correlation plots in Figures 2 and 3-----Plots_PLS-PM.R  # Codes for PLS-PM analysis in Figure 4
DOI: 10.5281/zenodo.15736267
title: Temperature and Biodiversity Regulate the Robustness of Plant-Microbe Networks in Natural Forests at Large Scale

description: Supporting datasets and codes for manuscript "Temperature and Biodiversity Regulate the Robustness of Plant-Microbe Networks in Natural Forests at Large Scale".

-----26_local_IDEN_property_summary_all.txt  # Network properties summary for 26 plant-microbe networks-----Bacteria_uparse_Classifier_of_16srrna.txt  # Taxonomy file for microbial OTUs in communities-----plant_for_network_ncbi_taxnonomy.txt  # Taxonomy file for plant species-----RawInputs # Raw files including plant community and microbial community for each forest site, which was used to generate plant-microbe networks in iNAP(https://inap.denglab.org.cn)--------------BDGS_Filtered_matrix_with_majority.txt  # BDGS forest site as an example-----Results  # Generated plant-microbe network results, including network file and node files--------------BDGS_SpiecEasi_bipartite_cytoscape.sif   # Network file of plant-microbe networks for BDGS forest site--------------BDGS_SpiecEasi_bipartite_cytoscape_node_FG.txt   # Node attribute file of plant-microbe networks for BDGS forest site.

# Codes for conducting analysis and generating plots-----Plots_bipartite_networks.R  # Codes for Figure 1 of plant-microbe networks-----Plots_correlations.R # Codes for correlation plots in Figures 2 and 3-----Plots_PLS-PM.R  # Codes for PLS-PM analysis in Figure 4
DOI: 10.15156/bio/sh0184150.10fu
title: SH0184150.10FU

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: 10.5281/zenodo.18201528
title: Replication package for CAPS
DOI: 10.5281/zenodo.18201529
title: Replication package for CAPS
DOI: 10.15156/bio/sh0184151.10fu
title: SH0184151.10FU

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/sh0184152.10fu
title: SH0184152.10FU

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/sh0184153.10fu
title: SH0184153.10FU

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/sh0184154.10fu
title: SH0184154.10FU

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/sh0184155.10fu
title: SH0184155.10FU

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/sh0184156.10fu
title: SH0184156.10FU

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/sh0184157.10fu
title: SH0184157.10FU

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: 10.5281/zenodo.18189007
title: Divergent effects of native deer and alien wild pigs on forest understories

description: This is for the major code and data for our paper 'Divergent effects of native deer and alien wild pigs on forest understories' in Proceedings B. The major codes for data analyses were provided in 'Deer&PigEffects.R'. We also provided three compiled dataset: plot_alldata_seedling.rds is the seedling data of whole eastern North America, for the analyses of deer effects on forest recruitment; plot_alldata_invafinal.rds is the invasive plant data of whole eastern North America, for the analyses of deer effects on understory plant invasions; plot_boardata_final.rds is the seedling and invasive plant data for southern states, for the analyses fo pig effects on forest recruitment and invasions.
DOI: 10.5281/zenodo.18189008
title: Divergent effects of native deer and alien wild pigs on forest understories

description: This is for the major code and data for our paper 'Divergent effects of native deer and alien wild pigs on forest understories' in Proceedings B. The major codes for data analyses were provided in 'Deer&PigEffects.R'. We also provided three compiled dataset: plot_alldata_seedling.rds is the seedling data of whole eastern North America, for the analyses of deer effects on forest recruitment; plot_alldata_invafinal.rds is the invasive plant data of whole eastern North America, for the analyses of deer effects on understory plant invasions; plot_boardata_final.rds is the seedling and invasive plant data for southern states, for the analyses fo pig effects on forest recruitment and invasions.
DOI: 10.15156/bio/sh0184158.10fu
title: SH0184158.10FU

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.