cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/cxe5-sy14
title: Inventory Purchase Order

description: The dataset is collected from Indonesian Power Plant Company, covering the period from 2018 to 2023. It includes detailed records of approximately 82,000 purchase transactions for 36,000 unique stock codes of spare parts.The dataset consists of various attributes related to the procurement and pricing of spare parts. Here is a detailed description of the fields present in the dataset:PREQ_STK_CODE: This field represents the stock code of the requested item.ITEM_NAME: The name of the item.STK_DESC: Description of the stock item.STOCK_TYPE: The type of stock.STOCK_SECTIONX3: Section or category of the stock.UNIT_OF_ISSUE: The unit in which the item is issued.PO_ITEM_NO: Purchase order item number.PO_NO: Purchase order number.CURR_NET_PR_I: Current net price (in IDR).CURR_NET_PR_P: Current net price (in IDR).GROSS_PRICE_P: Gross price of the item (in IDR).CURR_QTY_I: Current quantity in inventory.CURR_QTY_P: Current quantity purchased.DSTRCT_CODE: District code, indicating the unit location.DUE_SITE_DATE: Due date for the item to arrive at the site.ONST_RCPT_DATE: On-site receipt date, when the item was received.ONST_RCPT_REF: Reference for the on-site receipt.ORDER_DATE: The date when the order was placed.CREATION_DATE: The date when the purchase order was created.COMPLETED_DATE: The date when the purchase order was completed.SUPPLIER_NO: Supplier number, identifying the supplier of the item.This comprehensive dataset provides detailed insights into the procurement process, including information about purchase orders, item descriptions, prices, quantities, and key dates related to ordering and receiving spare parts.
DOI: 10.15468/dl.nktcvz
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.91012 -34.752026, 149.91012 -34.754271, 149.901137 -34.754271, 149.901137 -34.758763, 149.898891 -34.758763, 149.898891 -34.761009, 149.892154 -34.761009, 149.892154 -34.7655, 149.887662 -34.7655, 149.887662 -34.774484, 149.892154 -34.774484, 149.892154 -34.769992, 149.896645 -34.769992, 149.896645 -34.767746, 149.901137 -34.767746, 149.901137 -34.7655, 149.905628 -34.7655, 149.905628 -34.761009, 149.91012 -34.761009, 149.91012 -34.756517, 149.914611 -34.756517, 149.914611 -34.752026, 149.91012 -34.752026))"
 ]
}

 The dataset includes 149 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051036-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8hb77
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Selenicereus wittii (K.Schum.) G.D.Rowley)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051037-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjuc39
title: Occurrence Download

description: A dataset containing 35440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KOR",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Hypsipetes amaurotis (Temminck, 1830)"
 ]
}

 The dataset includes 35440 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051038-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4vck3
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((142.364235 -37.020283, 142.364235 -37.022528, 142.361989 -37.022528, 142.361989 -37.029266, 142.364235 -37.029266, 142.364235 -37.02702, 142.370973 -37.02702, 142.370973 -37.029266, 142.373218 -37.029266, 142.373218 -37.020283, 142.364235 -37.020283))"
 ]
}

 The dataset includes 154 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051039-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmqaug
title: Occurrence Download

description: A dataset containing 2918011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is China"
 ]
}

 The dataset includes 2918011 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051003-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8u3uky
title: Occurrence Download

description: A dataset containing 2107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong)",
 "Geometry POLYGON((68.17459 11.07242,139.68376 11.07242,139.68376 56.45069,68.17459 56.45069,68.17459 11.07242))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, VU, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1990-2024"
 ]
}

 The dataset includes 2107 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051040-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktwtke
title: Occurrence Download

description: A dataset containing 1813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stenocactus (K.Schum.) A.Berger)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1813 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051041-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khhx43
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.98547 -34.767746, 147.98547 -34.774484, 147.992208 -34.774484, 147.992208 -34.769992, 147.994453 -34.769992, 147.994453 -34.767746, 147.98547 -34.767746))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051042-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6n2phj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stenocactus lloydii A.Berger)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051044-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60703/r7ey-hh52
title: NSW Mental Health Ambulatory Data Collection
title: Mental Health Ambulatory Data Collection (NSW)

description: The Mental Health Ambulatory Data Collection (MH-AMB) is held within the State Health Information Exchange.
DOI: 10.15468/dl.qgd79p
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.057568 -37.004562, 144.057568 -37.006808, 144.053076 -37.006808, 144.053076 -37.009054, 144.057568 -37.009054, 144.057568 -37.013545, 144.059814 -37.013545, 144.059814 -37.009054, 144.064305 -37.009054, 144.064305 -37.015791, 144.071042 -37.015791, 144.071042 -37.020283, 144.066551 -37.020283, 144.066551 -37.022528, 144.073288 -37.022528, 144.073288 -37.020283, 144.075534 -37.020283, 144.075534 -37.013545, 144.066551 -37.013545, 144.066551 -37.006808, 144.064305 -37.006808, 144.064305 -37.004562, 144.057568 -37.004562)), ((144.075534 -37.020283, 144.075534 -37.022528, 144.080026 -37.022528, 144.080026 -37.020283, 144.075534 -37.020283)))"
 ]
}

 The dataset includes 254 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051043-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3gcuh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stenocereus peruvianus (L.) R.Kiesling)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051047-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txta8w
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.902376 -34.769992, 147.902376 -34.774484, 147.906867 -34.774484, 147.906867 -34.769992, 147.902376 -34.769992))"
 ]
}

 The dataset includes 126 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051045-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gndr9u
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KOR",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotus sinensis (Gmelin, 1789)",
 "Year 1999-2019"
 ]
}

 The dataset includes 335 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051048-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2ry9p
title: Occurrence Download

description: A dataset containing 16889239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Troglodytes troglodytes (Linnaeus, 1758), Motacilla alba Linnaeus, 1758, Turdus philomelos C.L.Brehm, 1831, Phoenicurus ochruros (S.G.Gmelin, 1774), Sylvia atricapilla (Linnaeus, 1758))",
 "Geometry POLYGON((-19.5 34.1, 27.8 34.1, 35.9 68.1, -25.3 68.1, -19.5 34.1))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation)",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2008"
 ]
}

 The dataset includes 16889239 records from 6528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051032-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0173519.10fu
title: SH0173519.10FU

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/sh0173520.10fu
title: SH0173520.10FU

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/sh0173521.10fu
title: SH0173521.10FU

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/sh0173522.10fu
title: SH0173522.10FU

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/sh0173523.10fu
title: SH0173523.10FU

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/sh0173524.10fu
title: SH0173524.10FU

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/sh0173525.10fu
title: SH0173525.10FU

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/sh0173526.10fu
title: SH0173526.10FU

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/sh0173527.10fu
title: SH0173527.10FU

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/sh0173528.10fu
title: SH0173528.10FU

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.