cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28494134.v1
title: Data for the article pepin et al. (<b>Evaluation of parasitic contamination and effects on estimates of mitochondrial enzymatic activities in infected fish livers</b>)

description: Parasites can impair host performance through various physiological processes, including alterations to host metabolism. Since mitochondria are responsible for cellular energy production, it is likely that disruptions in host cellular metabolism contribute to changes in metabolism at the organismal level. However, some studies investigating parasite-induced alteration in cellular metabolism have not taken the presence of parasites in the target tissues into account, potentially biasing results. It is therefore critical to confirm that the measured enzyme activities reflect those of the hosts rather than the parasites themselves. Here, we tested a parasite extraction protocol to evaluate the extent to which parasite contamination impacts estimates of cellular enzyme activities in hepatic tissues of wild pumpkinseed sunfish (<i>Lepomis gibbosus</i>) infected with bass tapeworm cestodes (<i>Proteocephalus ambloplitis</i>). We tested four treatments: uninfected livers, cleaned infected livers, infected livers (repopulated) and parasites alone. We then compared the activity of key metabolic enzymes among groups. PCR tests were used to assess parasitic contamination of samples after applying the parasite extraction protocol on hepatic tissue. Enzyme activities of cleaned livers and contaminated livers were similar despite PCR tests revealing contamination. The intensity of cestode infection also did not influence enzyme activity, which suggests that parasite presence in liver tissues does not impact the accuracy of the enzyme activity estimates. These results suggest that studying the organs of heavily parasitized individuals is possible. Nevertheless, we recommend that our cleaning protocol is applied to infected organs to avoid any perception of biases in highly infected individuals.
DOI: 10.5284/1126707
title: Data from a Trial Trenching at Halse Copse East, Greatworth, Northamptonshire, 2018-2021 (HS2 Phase One)

description: This collection includes images, site records and a spreadsheet from a trial trench evaluation carried out by COPA (Cotswold Oxford Pre-Construct Archaeology) at Halse Copse East, Greatworth, Northamptonshire during March 2018.
DOI: 10.15468/dl.57eqc3
title: Occurrence Download

description: A dataset containing 331549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea ptarmica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 331549 records from 982 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000825-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15200232
title: Differential expression analysis data _Supplementary files
DOI: 10.5281/zenodo.15200233
title: Differential expression analysis data _Supplementary files
DOI: 10.15468/dl.rkgpwp
title: Occurrence Download

description: A dataset containing 563843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Artiodactyla"
 ]
}

 The dataset includes 563843 records from 489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070042-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.turq0q
title: Occurrence Download

description: A dataset containing 12371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plants of the Amur River Basin, Russia: specimen based occurrence dataset of 100 selected species"
 ]
}

 The dataset includes 12371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013642-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ge4p47
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panax vietnamensis Ha & Grushv."
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091349-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evkvww
title: Occurrence Download

description: A dataset containing 502447 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthaceae"
 ]
}

 The dataset includes 502447 records from 991 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005765-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cmaae
title: Occurrence Download

description: A dataset containing 1330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.15207 54.45799,-7.91685 54.34038,-7.71258 54.12373,-7.28546 54.13611,-6.99453 54.25372,-6.56122 54.03706,-5.76889 53.77708,-5.2613 54.34657,-6.06601 55.32461,-6.80263 55.29365,-7.25451 55.05224,-7.37454 55.0446,-7.53306 54.81083,-7.96637 54.71179,-7.76829 54.59417,-8.15207 54.45799))",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes (Linnaeus, 1758)",
 "Year 2000-2024"
 ]
}

 The dataset includes 1330 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066742-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcqnv8
title: Occurrence Download

description: A dataset containing 24980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Malaysia",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 24980 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110306-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efgtmr
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Plectrohyla lacertosa Bumzahem & Smith, 1954",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 201 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023409-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3aamw
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.83811 46.18171,8.84358 46.14159,8.89969 46.15012,8.88646 46.17034,8.83811 46.18171))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is May",
 "TaxonKey is one of (Troglodytes troglodytes (Linnaeus, 1758), Erithacus Cuvier, 1800, Luscinia megarhynchos C.L.Brehm, 1831, Phoenicurus ochruros (S.G.Gmelin, 1774), Saxicola rubetra (Linnaeus, 1758), Oenanthe oenanthe (Linnaeus, 1758), Turdus Linnaeus, 1758, Cettia cetti (Temminck, 1820), Acrocephalus J.A.Naumann & J.F.Naumann, 1811, Hippolais icterina (Vieillot, 1817), Sylvia Scopoli, 1769, Phylloscopus F.Boie, 1826, Muscicapa striata (Pallas, 1764), Ficedula hypoleuca (Pallas, 1764), Lanius collurio Linnaeus, 1758)",
 "Year is 2019"
 ]
}

 The dataset includes 58 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066745-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f5nwr
title: Occurrence Download

description: A dataset containing 828592 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Observation"
 ]
 },
 "Country is China",
 {
 "or" : [
 "Month is March",
 "Month is April",
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October"
 ]
 }
 ]
}

 The dataset includes 828592 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132640-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i341gn
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Anas cyanoptera Vieillot, 1816",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 671 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023408-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pqt6g
title: Occurrence Download

description: A dataset listing the 31 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Brown University Foraminiferal Data Base (BFD)"
 ]
}

 The dataset's 31 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066752-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erwaa7
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "TaxonKey is Caiman crocodilus (Linnaeus, 1758)"
 ]
}

 The dataset includes 42 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124226-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qipxw5
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Ortalis motmot (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023410-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7zxcs
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthocleista obanensis Wernham"
 ]
}

 The dataset includes 102 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007463-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48padf
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesoclemmys gibba (Schweigger, 1812)"
 ]
}

 The dataset includes 285 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343961-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfbj49
title: Occurrence Download

description: A dataset containing 6093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Colinus cristatus (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6093 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023414-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fscfm
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aptosimum elongatum (Hiern) Engl."
 ]
}

 The dataset includes 390 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012514-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uybwq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The InBIO Barcoding Initiative Database: Portuguese Snakeflies (Raphidioptera)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343958-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7ztv4
title: Occurrence Download

description: A dataset containing 11897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Malaysia",
 "Year 2009-2017",
 "HasCoordinate is true",
 "TaxonKey is Bucerotiformes",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11897 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013643-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9gnvn
title: Occurrence Download

description: A dataset containing 2910 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A checklist to the wasps of Peru (Hymenoptera, Aculeata)"
 ]
}

 The dataset includes 2910 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066755-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r6xke
title: Occurrence Download

description: A dataset containing 6655121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124 36,-106 36,-106 42,-124 42,-124 36))",
 "OccurrenceStatus is Present",
 "Year 2008-2012"
 ]
}

 The dataset includes 6655121 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138038-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1050835.10fu
title: SH1050835.10FU

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/sh1050842.10fu
title: SH1050842.10FU

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/sh1050843.10fu
title: SH1050843.10FU

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/sh1050845.10fu
title: SH1050845.10FU

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/sh1050847.10fu
title: SH1050847.10FU

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/sh1050850.10fu
title: SH1050850.10FU

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/sh1050853.10fu
title: SH1050853.10FU

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.