cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gp2wcz
title: Occurrence Download

description: A dataset containing 21188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scomberomorus cavalla (Cuvier, 1829)"
 ]
}

 The dataset includes 21188 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014639-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/0l9k3e
title: Extracted Data from: Biological effects of inhaled crude oil vapor. III. Pulmonary effects

description: This submission includes publicly available data extracted in its original form.
&lt;br/&gt; &lt;br/&gt;
If you have questions about the underlying data stored here, please contact Tina M Sager (sst2@cdc.gov) or the Health Effects Laboratory Division, Pathology and Physiology Research Branch (sa-cin-webteam@cdc.gov). If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu.”
&lt;br/&gt; &lt;br/&gt;
&lt;blockquote&gt;Workers involved in oil exploration and production in the upstream petroleum industry are exposed to crude oil vapor (COV). COV levels in the proximity of workers during production tank gauging and opening of thief hatches can exceed regulatory standards, and several deaths have occurred after opening thief hatches. There is a paucity of information regarding the effects of COV inhalation in the lung. To address these knowledge gaps, the present hazard identification study was one of six undertaken to investigate the effects of inhaled COV in a rat animal model. &lt;/blockquote&gt;
[Quote from: https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Biological-effects-of-inhaled-crude-oil-vapor-III-/aian-amjw/about_data]
description: This submission includes publicly available data extracted in its original form. Please reference
the Related Publication listed here for source and citation information Health Center Service
Delivery and Look-Alike Sites was downloaded by Joe Palmo on May 12, 2025
description: The uploaded files were downloaded from hhttps://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Biological-effects-of-inhaled-crude-oil-vapor-III-/aian-amjw/about_data. The CDC Agency Materials Use is uploaded along with the data. The
affiliated publication is also uploaded.
DOI: 10.34740/kaggle/dsv/11912666
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.15468/dl.pw2ymr
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cacatua haematuropygia (Statius Muller, 1776)"
 ]
}

 The dataset includes 299 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014642-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87km8p
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus obtusifolius Teijsm. ex Miq.",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014646-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15412157
title: Alternatively activated monocyte derived myeloid cells promote extracellular pathogen persistence within pulmonary fungal granulomas

description: Inhaled fungal pathogens often generate granuloma-contained latent infections that can reactivate to cause invasive disease. However, the mechanisms underlying the inability to generate sterilizing immunity against latent infection remains poorly understood.  Here, we leveraged spatial transcriptomics and flow cytometry to characterize the immune dynamics and cellular architecture of cryptococcal granulomas. Using fate mapping and murine genetic tools, we demonstrate that alternative activation of monocyte-derived myeloid cells by CD4+ T helper 2 cells antagonizes pulmonary fungal clearance during latent infection. In contrast to the prevailing view in the field, we find that alternatively activated myeloid cells are not an intrinsic replication niche for the fungus and more broadly, Cryptococcus predominantly resides in the extracellular environment. We propose a T helper 2 cell-myeloid circuit establishes a local immunosuppressive environment to drive extracellular fungal persistence, which could be leveraged as a new target for host-directed therapy to treat latent fungal infections.
description: Spatial transcriptomics

Euthanized mice were perfused with 20 ml PBS followed by 20 ml 4% PFA and then inflated with OCT from trachea. Lung tissues were collected and immediately fast frozen for storage at -80 °C. Sections were made with CrypStat by 10 mm directly on slides provided by 10X Genomics. Xenium Prime 5K kit was utilized for spatial transcriptomics according to commercial instructions. Briefly, sections were hybridized with priming oligos and then washed by RNase to release the RNA strand, followed by polishing to allow probe hybridization for the target RNA. We did not add customized probes on pre-designed mouse pan tissue & pathways panel containing 5006 probes. Unbound probes were washed away, and ligation was performed to ensure probe specificity by generating a circular DNA from hybridized probe, which was enzymatically amplified subsequently. Cell segmentation staining and autofluorescence quenching were performed before loading slides into Xenium Analyzer at NIAMS.
DOI: 10.15468/dl.84xrzk
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "and" : [
 "Country is United States of America",
 "StateProvince is one of (vermont, vermont (state))",
 "HasCoordinate is false",
 "OccurrenceStatus is Present"
 ]
 },
 {
 "and" : [
 "GadmGid is USA.46_1",
 "OccurrenceStatus is Present"
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Fossil)",
 "TaxonKey is one of (Epargyreus clarus (Cramer, 1775))"
 ]
 }
 ]
}

 The dataset includes 63 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014645-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c78bnv
title: Occurrence Download

description: A dataset containing 13202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xiphopenaeus kroyeri (Heller, 1862)"
 ]
}

 The dataset includes 13202 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014644-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg8vc8
title: Occurrence Download

description: A dataset containing 899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Academy of Natural Sciences Entomology Collection – OrthopNet",
 "Issue is Recorded date invalid"
 ]
}

 The dataset includes 899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014649-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmnup9
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cacatua haematuropygia (Statius Muller, 1776)"
 ]
}

 The dataset includes 299 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014643-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy2vv4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus palosapis Blanco",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014653-250515123054153/datasets/export for details.
DOI: 10.15468/dl.c49u4x
title: Occurrence Download

description: A dataset containing 36 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 2479882 OR occurrence.acceptedtaxonkey = 2479882 OR occurrence.kingdomkey = 2479882 OR occurrence.phylumkey = 2479882 OR occurrence.classkey = 2479882 OR occurrence.orderkey = 2479882 OR occurrence.familykey = 2479882 OR occurrence.genuskey = 2479882 OR occurrence.specieskey = 2479882)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 36 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014648-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axymbg
title: Occurrence Download

description: A dataset containing 1881366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepus europaeus Pallas, 1778, Elachista revinctella Zeller, 1850, Tholera cespitis (Denis & Schiffermüller), 1775, Apamea remissa (Hübner), Jassargus allobrogicus (Ribaut, 1936), Streptanus marginatus (Kirschbaum, 1858), Criomorphus albomarginatus Curtis, 1833, Dikraneura variata Hardy, 1850, Javesella discolor (Boheman, 1847), Eurysa lineata (Perris, 1857), Muellerianella fairmairei (Perris, 1857), Mythimna ferrago Fabricius, 1787, Oeneis norna Thunberg, 1791, Oeneis melissa (Fabricius, 1775), Torymus stenus Graham, 1994, Coelopisthia extenta (Walker, 1835), Lagopus lagopus (Linnaeus, 1758), Ophonus puncticeps Stephens, 1828, Mesopolobus clavicornis (Forster, 1878), Sphenarches caffer (Zeller, 1852), Diacrotricha fasciola Zeller, 1852, Rapala pheretima (Hewitson, 1863), Idioscopus nagpurensis (Singh-Pruthi, 1930), Acromyrmex octospinosus (Reich, 1793), Zaprionus indianus Gupta, 1970, Pheidole megacephala (Fabricius, 1793), Pionus senilis (Spix, 1824), Idioscopus clypealis (Lethierry, 1889), Nandayus nenday (Vieillot, 1823), Metopograpsus messor (Forskål, 1775), Zeuzera conferta Walker, 1856, Cenoloba obliteralis (Walker, 1864), Oceatra litoralis Gnezdilov & Malenovský, 2023, Hyblaea puera (Cramer, 1777), Norbanus thekkadiensis Sureshan, 2003, Coccophagus aethochreus Annecke & Insley, 1974, Columba punicea Blyth, 1842, Actilasioptera subfolium Gagné, 1999, Actilasioptera tuberculata Gagné, 1999, Actilasioptera pustulata Gagné, 1999, Actilasioptera falcaria (Felt, 1921), Hypochrysops apelles (Fabricius, 1775), Hypochrysops epicurus Miskin, 1876, Actilasioptera coronata Gagné, 1999, Dugong dugon (Müller, 1776), Neosarmatium africanum Ragionieri, Fratini & Schubart, 2012, Helograpsus haswellianus (Whitelegge, 1890), Parasesarma erythrodactyla, Protuliocnemis helpsi Holloway, 1996, Aphytis columbi (Girault, 1932))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1881366 records from 3804 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014633-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1226651.10fu
title: SH1226651.10FU

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/sh1226655.10fu
title: SH1226655.10FU

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/sh1226656.10fu
title: SH1226656.10FU

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/sh1226657.10fu
title: SH1226657.10FU

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/sh1226658.10fu
title: SH1226658.10FU

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/sh1226661.10fu
title: SH1226661.10FU

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/sh1226663.10fu
title: SH1226663.10FU

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/sh1226669.10fu
title: SH1226669.10FU

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/sh1226670.10fu
title: SH1226670.10FU

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.