cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/damqdq/0bfi56
title: MIRRI0095524.json

description: Strain json file
DOI: 10.57907/mirri/ekgpzr
title: MIRRI0095606

description: Organism type: Bacteria ; Taxon name: Pseudomonas aeruginosa ; Collection: NCCB 25028
DOI: 10.57907/mirri/fygrpo
title: MIRRI0095481

description: Organism type: Bacteria ; Taxon name: Agrobacterium radiobacter ; Collection: NCCB 64002
DOI: 10.57907/mirri/gatjab
title: MIRRI0097042

description: Organism type: Bacteria ; Taxon name: Pseudomonas aeruginosa ; Collection: NCCB 93072
DOI: 10.57907/mirri/ggnluz
title: MIRRI0095515

description: Organism type: Bacteria ; Taxon name: Clostridium acetobutylicum ; Collection: NCCB 29021
DOI: 10.57907/mirri/jvwhjc
title: MIRRI0095554

description: Organism type: Bacteria ; Taxon name: Clostridium beijerinckii ; Collection: NCCB 79061
DOI: 10.57907/mirri/kvfbzv/jyry6v
title: MIRRI0095556.json

description: Strain json file
DOI: 10.57907/mirri/pqf1xy/3zt5wd
title: MIRRI0096967.json

description: Strain json file
DOI: 10.57907/mirri/pym2e6/u0mabl
title: MIRRI0095525.json

description: Strain json file
DOI: 10.57907/mirri/tthkim
title: MIRRI0095639

description: Organism type: Bacteria ; Taxon name: Burkholderia gladioli ; Collection: NCCB 38018 ; Country: Indonesia
DOI: 10.57907/mirri/ujd51w
title: MIRRI0095520

description: Organism type: Bacteria ; Taxon name: Clostridium acetobutylicum ; Collection: NCCB 37011
DOI: 10.57907/mirri/w33tca
title: MIRRI0095495

description: Organism type: Bacteria ; Taxon name: Halococcus morrhuae ; Collection: NCCB 39022
DOI: 10.57907/mirri/zp8qpd
title: MIRRI0096957

description: Organism type: Bacteria ; Taxon name: Pseudomonas oleovorans ; Collection: NCCB 60081
DOI: 10.3535/5hc-l02-zpc
title: Polygonum bellardii All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7w3-y0x-p1a
title: Polygonum patulum M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/0hkobh
title: MIRRI0097267

description: Organism type: Bacteria ; Taxon name: Komagataeibacter xylinus ; Collection: NCCB 77031
DOI: 10.57907/mirri/1essjg
title: MIRRI0095544

description: Organism type: Bacteria ; Taxon name: Vibrio jasicida ; Collection: NCCB 100079
DOI: 10.57907/mirri/6mcuuj
title: MIRRI0097142

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 70070
DOI: 10.57907/mirri/9374w3
title: MIRRI0097045

description: Organism type: Bacteria ; Taxon name: Staphylococcus haemolyticus ; Collection: NCCB 93075
DOI: 10.57907/mirri/agporx/v0vxm5
title: MIRRI0097095.json

description: Strain json file
DOI: 10.57907/mirri/bqvbi1/odhi0k
title: MIRRI0097132.json

description: Strain json file
DOI: 10.57907/mirri/d07asu
title: MIRRI0096975

description: Organism type: Bacteria ; Taxon name: Pseudomonas syringae ; Collection: NCCB 60091
DOI: 10.57907/mirri/dnbno4
title: MIRRI0097115

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 70046
DOI: 10.57907/mirri/dqd4uw/uv3sse
title: MIRRI0097112.json

description: Strain json file
DOI: 10.57907/mirri/g3yo8o
title: MIRRI0097125

description: Organism type: Bacteria ; Taxon name: Salmonella ; Collection: NCCB 70059
DOI: 10.57907/mirri/gjfise
title: MIRRI0097113

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 70044
DOI: 10.57907/mirri/huddze
title: MIRRI0096987

description: Organism type: Bacteria ; Taxon name: Staphylococcus aureus ; Collection: NCCB 61003
DOI: 10.57907/mirri/j4i0xl/vnj1gq
title: MIRRI0097160.json

description: Strain json file
DOI: 10.57907/mirri/jic5tq
title: MIRRI0097006

description: Organism type: Bacteria ; Taxon name: Hafnia alvei ; Collection: NCCB 67002
DOI: 10.57907/mirri/jic5tq/xqy0lr
title: MIRRI0097006.json

description: Strain json file
DOI: 10.57907/mirri/k9orqa
title: MIRRI0097118

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 70049
DOI: 10.57907/mirri/kstsdk/mnlqkm
title: MIRRI0097038.json

description: Strain json file
DOI: 10.57907/mirri/lj9g3z/zu4jog
title: MIRRI0097144.json

description: Strain json file
DOI: 10.57907/mirri/llcbvp
title: MIRRI0096996

description: Organism type: Bacteria ; Taxon name: Streptococcus ; Collection: NCCB 63008
DOI: 10.57907/mirri/omfezu/8pavj5
title: MIRRI0097016.json

description: Strain json file
DOI: 10.57907/mirri/pke19j/fnomhi
title: MIRRI0096612.json

description: Strain json file
DOI: 10.57907/mirri/reueys/4c7vxs
title: MIRRI0097061.json

description: Strain json file
DOI: 10.57907/mirri/thnaa0
title: MIRRI0097054

description: Organism type: Bacteria ; Taxon name: Acidipropionibacterium acidipropionici ; Collection: NCCB 93088
DOI: 10.57907/mirri/tvskxd
title: MIRRI0096543

description: Organism type: Bacteria ; Taxon name: Rhizobium ; Collection: NCCB 26062
DOI: 10.57907/mirri/vbpjbd
title: MIRRI0097032

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 69024
DOI: 10.57907/mirri/vs98za
title: MIRRI0097021

description: Organism type: Bacteria ; Taxon name: Rhodobacter sphaeroides ; Collection: NCCB 68024
DOI: 10.57907/mirri/ylorg4/r5ynmx
title: MIRRI0097067.json

description: Strain json file
DOI: 10.57907/mirri/zarlbf
title: MIRRI0097110

description: Organism type: Bacteria ; Taxon name: Escherichia coli ; Collection: NCCB 70041
DOI: 10.3535/wc8-126-gla
title: Stellaria media (L.) Vill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.58jtxi
title: Occurrence Download

description: A dataset containing 1011820899 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1011820899 records from 20845 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047352-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e228322
title: Navigating Higher Education"Nontraditionally": Opportunities and Obstacles in Post-Traditional College Pathways to the Baccalaureate

description: Interview protocols and codebook for the study of post-traditional college graduates.
description: face-to-face interview;
DOI: 10.3886/e228322v1
title: Navigating Higher Education"Nontraditionally": Opportunities and Obstacles in Post-Traditional College Pathways to the Baccalaureate

description: Interview protocols and codebook for the study of post-traditional college graduates.
description: face-to-face interview;
DOI: 10.15468/dl.c64d98
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agriphila geniculea (Haworth, 1811)"
 ]
}

 The dataset includes 255 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009807-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9rnsk
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Dryophytes avivoca (Viosca, 1928))"
 ]
}

 The dataset includes 1368 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009808-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urk2zu
title: Occurrence Download

description: A dataset containing 4134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.70551 45.75778,11.84889 45.75778,11.84889 45.83319,11.70551 45.83319,11.70551 45.75778))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4134 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009809-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvy84k
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Petrophora chlorosata (Scopoli, 1763)"
 ]
}

 The dataset includes 2219 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009810-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edpj24
title: Occurrence Download

description: A dataset containing 1291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Hyla avivoca Viosca, 1928)"
 ]
}

 The dataset includes 1291 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009811-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxtwrc
title: Occurrence Download

description: A dataset containing 128824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is True",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "GadmGid is USA.7_1",
 "Year 1900-2025"
 ]
}

 The dataset includes 128824 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009806-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yjsbg
title: Occurrence Download

description: A dataset containing 3255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Eristalis pertinax (Scopoli, 1763)"
 ]
}

 The dataset includes 3255 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009813-250426092105405/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.28207571
title: Auto Insurance Fraud Detection

description: Auto Insurance Fraud Detection: Dataset and BQABA algorithm python code
DOI: 10.15468/dl.63sxgx
title: Occurrence Download

description: A dataset containing 2802705972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 1980-2025"
 ]
}

 The dataset includes 2802705972 records from 62590 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009436-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1383234.10fu
title: SH1383234.10FU

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/sh1383235.10fu
title: SH1383235.10FU

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/sh1383236.10fu
title: SH1383236.10FU

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/sh1383237.10fu
title: SH1383237.10FU

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/sh1383238.10fu
title: SH1383238.10FU

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/sh1383240.10fu
title: SH1383240.10FU

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/sh1383242.10fu
title: SH1383242.10FU

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/sh1383243.10fu
title: SH1383243.10FU

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/sh1383244.10fu
title: SH1383244.10FU

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/sh1383245.10fu
title: SH1383245.10FU

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.d7qpt8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aida inornata"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019361-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfyhu3
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dontostemon perennis"
 ]
}

 The dataset includes 169 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019364-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.