cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m9myyb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crataegus castlegarensis J.B.Phipps & O'Kennon)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011799-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/wf76di/8wtn6a
title: 5056.png
DOI: 10.25346/s6/wf76di/8wwslp
title: 5084.png
DOI: 10.25346/s6/wf76di/dmtecx
title: 5050.png
DOI: 10.15468/dl.v6y9v9
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crataegus coccinioides Ashe)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011801-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/wf76di/6ubzjv
title: 5027.png
DOI: 10.15468/dl.9rccfu
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crataegus coccinea L.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 86 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011800-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/wf76di/rlb5yn
title: 5045.png
DOI: 10.25346/s6/wf76di/rktp07
title: 5167.png
DOI: 10.25346/s6/ij7mg9
title: Greenstone Database

description: Spreadsheet data of greenstone artifacts at K'axob. View associated media in the photograph and illustration datasets.
DOI: 10.25346/s6/ij7mg9/3yftqi
title: greenstone_database.tab
DOI: 10.25346/s6/wf76di/pckoqt
title: 5205.png
DOI: 10.25346/s6/wf76di/othffa
title: 5055.png
DOI: 10.25346/s6/wf76di/jeyzt3
title: 5147.png
DOI: 10.25346/s6/wf76di/wrk507
title: 5135.png
DOI: 10.25346/s6/wf76di/53nhte
title: 5218.png
DOI: 10.25346/s6/wf76di/wjtgtl
title: 5038.png
DOI: 10.25346/s6/wf76di/qjxlch
title: 5082.png
DOI: 10.25346/s6/wf76di/f5w0fh
title: 5153.png
DOI: 10.25318/3410026101-eng
title: Municipal ownership of core infrastructure assets, by urban and rural, and population size, Infrastructure Canada, inactive

description: Number of core public infrastructure assets owned by municipalities. Core public infrastructure assets consist of public transit, potable water, stormwater, wastewater, solid waste, roads, bridges and tunnels, public social and affordable housing, and culture, recreation and sports facilities. Data are available for all provinces and territories by urban and rural municipalities and population size. Values are presented for 2016.
DOI: 10.15468/dl.hc4455
title: Occurrence Download

description: A dataset containing 133224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Belize",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is one of (EN, VU, NT)",
 "Year 2018-2025"
 ]
}

 The dataset includes 133224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011754-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/wf76di/aixr9x
title: 5066.png
DOI: 10.25346/s6/wf76di/tlpjz8
title: 5119.png
DOI: 10.15468/dl.pyxpxe
title: Occurrence Download

description: A dataset containing 146304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((99.52821 25.71438,99.27088 28.09276,98.49888 28.3267,97.49294 28.77118,96.75993 28.51385,95.78519 29.18448,96.05032 29.58217,95.42648 29.99547,95.01319 30.02666,94.65448 29.0831,94.47513 29.17668,94.40495 28.92714,94.2178 28.95054,93.77331 28.59963,93.18846 28.73219,92.93113 28.39688,93.10269 28.19413,92.82976 27.86662,92.15133 27.67167,91.91739 27.79644,91.42612 28.02258,89.75735 28.20193,87.59732 28.01478,87.51154 26.16666,99.52821 25.71438))",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 146304 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011760-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/wf76di/ocu1v0
title: 5096.png
DOI: 10.25346/s6/wf76di/rohz4i
title: 5054.png
DOI: 10.25346/s6/wf76di/vhfzau
title: 5048.png
DOI: 10.25346/s6/wf76di/4yqgx6
title: 5226.png
DOI: 10.25318/3410026101-fra
title: Propriété municipale des actifs d'infrastructures essentielles, selon la zone (urbaine ou rurale) et la taille de la population, Infrastructure Canada, inactif

description: Nombre d'actifs d'infrastructures publiques essentielles de propriété municipale. Les infrastructures publiques essentielles sont: transport en commun, eau potable, eaux pluviales, eaux usées, déchets solides, routes, ponts et tunnels, logement social et abordable, culture, sports et loisirs. Les données sont disponibles pour tous les provinces et territoires et par région urbaine et rurale et par taille de population. Les données sont présentées pour 2016.
DOI: 10.15468/dl.6w2ybz
title: Occurrence Download

description: A dataset containing 19662979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.81738 40.79973,3.78223 40.79973,3.78223 44.05007,-3.81738 44.05007,-3.81738 40.79973))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2000-2025"
 ]
}

 The dataset includes 19662979 records from 2956 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011757-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb68zr
title: Occurrence Download

description: A dataset listing the 18 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "TaxonKey is Plicopurpura columellaris (Lamarck, 1816)"
 ]
}

 The dataset's 18 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000413-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8kjos
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Argentina",
 "Country is Chile",
 "Country is Bolivia (Plurinational State of)"
 ]
 },
 "Year 2000-2018",
 "TaxonKey is Himantopus himantopus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004009-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ruqyi
title: Occurrence Download

description: A dataset containing 56746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Year 1960-2019",
 "HasCoordinate is true",
 "TaxonKey is Anthocharis cardamines (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56746 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004592-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k8yh4
title: Occurrence Download

description: A dataset containing 29521 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer monspessulanum L."
 ]
}

 The dataset includes 29521 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019234-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stgowg
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crax globulosa Spix, 1825"
 ]
}

 The dataset includes 164 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004009-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17985398
title: Metabolomics analysis of multiple organs upon in vivo application of WMK-1

description: C57BL/6 mice  were treated with vehilce or 40 mpk WMK-1 for two days (QD, through i.p. injection). Tissues, including liver, spleen, kidney, lung, and heart were collected and loaded for lipidomics and metabolomics analysis via LC-MC/MS. 

For tissue metabolomics profiling, 3 µL of metabolomics sample was loaded into a Vanquish Flex system coupled with an ACQUITY UPLC BEH Amide column (100 × 2.1 mm, 1.7 μm, 130 Å, Waters, Cat# 186004741), and separated chromatographically over a 15-min LC-gradient elution at a flow rate of 0.3 mL/min. The mobile phase for the positive ion acquisition mode contains H2O with 0.1% (v/v) formic acid and 10 mM ammonium formate for Phase A, and ACN/H2O (95:5) with 0.1% (v/v) formic acid and 10 mM ammonium formate for Phase B. The mobile phase for the negative ion acquisition mode is similar to the buffers for the positive ion mode except excluding formic acid in the buffer 

The Compound Discoverer v3.2 software (Thermo Fisher Scientific) was used for LC-MS/MS metabolomics data processing including peak alignment, background filtering, peak calling, and compound identification. We applied an adaptive curve alignment model and filtered out metabolites with intensities lower than the minimum cutoff of 100,000 in both positive and negative ion mode datasets. The remaining metabolites were used for further analysis. Adduct ions including [M+H]+, [M+Na]+, [M+K]+, [M+NH4]+and [M-H]- were identified by assigning predicted chemical composition to each ion based on the exact mass within a ±5 ppm deviation and the isotopic pattern with intensity tolerance < 30%.

For metabolite annotation, mzCloud search was used for mapping the MS/MS spectra with the endogenous metabolite library. A cosine-based identity search procedure with match activation type was employed during the DDA search method, which enables accurate matching of fragmentation patterns. During the mapping of activation energy, a tolerance within 20, and a minimum intensity threshold for filtering low-intensity signals were employed. Similarity search was turned off during annotation. We used a match factor threshold of 60 during the metabolite identification. Metabolites not detected in the samples were substituted with background noise signals. A minimum of 50% QC coverage and a maximum QC area RSD of 30% were employed during the QC correction. Lastly, metabolites whose intensities are lower than five times that of the corresponding blank samples were filtered out.
DOI: 10.15156/bio/sh0178861.10fu
title: SH0178861.10FU

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/sh0178862.10fu
title: SH0178862.10FU

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/sh0178863.10fu
title: SH0178863.10FU

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/sh0178864.10fu
title: SH0178864.10FU

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/sh0178865.10fu
title: SH0178865.10FU

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/sh0178866.10fu
title: SH0178866.10FU

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/sh0178867.10fu
title: SH0178867.10FU

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/sh0178868.10fu
title: SH0178868.10FU

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/sh0178869.10fu
title: SH0178869.10FU

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/sh0178870.10fu
title: SH0178870.10FU

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.