cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28648799
title: Impact of hepatic impairment and renal failure on the pharmacokinetics of linezolid and its metabolites: contribution of hepatic metabolism and renal excretion

description: Linezolid, an oxazolidinone antibiotic, is used in patients with liver or kidney disease. However, the effects and mechanisms of hepatic impairment or renal failure on the pharmacokinetics of linezolid and its metabolites (PNU-142586 and PNU-142300) remain unclear. We used carbon tetrachloride-induced impaired hepatic function and 5/6 nephrectomy-induced renal failure rat models to investigate linezolid and metabolites pharmacokinetics. Isolated primary rat hepatocytes were used to evaluate the impact of hepatic impairment or renal failure on linezolid metabolism. Uptake and efflux transport studies were also conducted. The influence of hepatic impairment or renal failure on the pharmacokinetics of linezolid and two metabolites did not differ between intragastric gavage and intravenous administration in rats. Linezolid did not accumulate in the brain, heart, lung, liver, kidney, and small intestinal tissues of the hepatic impairment or renal failure rats. And PNU-142300 did not accumulate in the liver or kidney tissue. Compared to the isolated normal rat hepatocytes, the <i>in vitro</i> hepatic clearance of linezolid in hepatic impairment and renal failure rat hepatocytes were decreased by 61.3% and 44.1%, respectively. Organic anion transporting polypeptide (OATP)1B1, OATP1B3, OATP2B1, Na+-taurocholate co-transporting polypeptide (NTCP), organic anion transporter (OAT)1, OAT3, multidrug resistance-associated protein 2 (MRP2), or multidrug resistance proteins 1 (MDR) did not mediated linezolid transport. Hepatic impairment primarily increases linezolid exposure through reduced hepatic metabolism, whereas renal failure increases both linezolid and two metabolites exposure through reduced hepatic metabolism and renal glomerular filtration. These findings provide guideance for adjusting the dose of linezolid in patients with hepatic and renal insufficiency.
DOI: 10.15468/dl.8g7qbt
title: Occurrence Download

description: A dataset containing 6229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (618f0fdc-3f11-49dd-9375-0d9686c8aefe, 54a7048f-6d1f-468e-bd38-a585e05ca24d, 315127e0-d7bb-11db-9885-b8a03c50a862, f6b48504-1651-4a49-a88d-c2bc6178694d, bc092ff0-02e4-11dc-991f-b8a03c50a862, b3bf3a83-1f68-4541-a03f-330d30d567f5, 396d5f30-dea9-11db-8ab4-b8a03c50a862, dfad10f6-d84b-4fa2-b6d0-df2a3eb38b65, e88c96a3-5884-4e51-a580-e417ca4c9eed)",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset includes 6229 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024438-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6twek
title: Occurrence Download

description: A dataset listing the 4034195 species recorded in GBIF matching the query:
{ }

 The dataset's 4034195 records were derived from 71937 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024425-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4452577
title: watercourse_100mseg: the Flemish watercourses represented by 100-meter line segments and corresponding downstream endpoints

description: The data source watercourse_100mseg is derived from the raw data source 'watercourses'. It represents all officially known watercourses of the Flemish Region as line segments of 100 m (or < 100 m, for the most upstream segment of a watercourse). The data source can be used as a base layer of statistical population units (line segments) and corresponding anchor points, in the design of monitoring and research of watercourses.


The data source is a GeoPackage with two spatial layers:



	

	
watercourse_100mseg_lines: the line segments;
	
	

	
watercourse_100mseg_points: the corresponding downstream endpoints ('downstream' as defined in watercourses).
	



The coordinate reference system is 'Belge 72 / Belgian Lambert 72' (EPSG-code 31370). Both layers have the same number of rows, and they share the same attributes:



	
rank: a unique, incremental number for each segment/endpoint. It just reflects the downstream-to-upstream order of segments within each original line.
	
vhag_code: the VHAG code from the raw watercourses data source. It distinguishes the different watercourses, so it is common to all segments/points that belong to the same watercourse.



This version was derived from version 'watercourses_20200807' (Zenodo DOI) as follows:



	

	
each line ('watercourse') of watercourses is split into segments of 100 m, where the remaining segment of < 100 m (per original line) is situated most upstream. For this step, the direction of the lines has been reverted (in watercourses the direction is from upstream to downstream). A unique rank number is assigned to each segment, as well as the VHAG code from the corresponding line in watercourses.
	
	

	
the downstream endpoint of each segment is located, and assigned the same attributes (rank and vhag_code).
	



See R and GRASS code in the GitHub repository 'n2khab-preprocessing' at commit 6b1d8f7 for the creation from the watercourses data source.


A reading function to return the data source in a standardized way into the R environment is provided by the R-package n2khab.
DOI: 10.5281/zenodo.4452578
title: watercourse_100mseg: the Flemish watercourses represented by 100-meter line segments and corresponding downstream endpoints

description: The data source watercourse_100mseg is derived from the raw data source 'watercourses'. It represents all officially known watercourses of the Flemish Region as line segments of 100 m (or < 100 m, for the most upstream segment of a watercourse). The data source can be used as a base layer of statistical population units (line segments) and corresponding anchor points, in the design of monitoring and research of watercourses.


The data source is a GeoPackage with two spatial layers:



	

	
watercourse_100mseg_lines: the line segments;
	
	

	
watercourse_100mseg_points: the corresponding downstream endpoints ('downstream' as defined in watercourses).
	



The coordinate reference system is 'Belge 72 / Belgian Lambert 72' (EPSG-code 31370). Both layers have the same number of rows, and they share the same attributes:



	
rank: a unique, incremental number for each segment/endpoint. It just reflects the downstream-to-upstream order of segments within each original line.
	
vhag_code: the VHAG code from the raw watercourses data source. It distinguishes the different watercourses, so it is common to all segments/points that belong to the same watercourse.



This version was derived from version 'watercourses_20200807' (Zenodo DOI) as follows:



	

	
each line ('watercourse') of watercourses is split into segments of 100 m, where the remaining segment of < 100 m (per original line) is situated most upstream. For this step, the direction of the lines has been reverted (in watercourses the direction is from upstream to downstream). A unique rank number is assigned to each segment, as well as the VHAG code from the corresponding line in watercourses.
	
	

	
the downstream endpoint of each segment is located, and assigned the same attributes (rank and vhag_code).
	



See R and GRASS code in the GitHub repository 'n2khab-preprocessing' at commit 6b1d8f7 for the creation from the watercourses data source.


A reading function to return the data source in a standardized way into the R environment is provided by the R-package n2khab.
DOI: 10.15468/dl.b3x5vn
title: Occurrence Download

description: A dataset containing 1821 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perna viridis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1821 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024440-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23bf9e
title: Occurrence Download

description: A dataset containing 949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Bucanetes githagineus (M.H.K.Lichtenstein, 1823)"
 ]
}

 The dataset includes 949 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024441-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vfp2b
title: Occurrence Download

description: A dataset containing 305273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus incana (L.) Moench, Alnus incana (L.) Medik., 1800)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 305273 records from 828 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024429-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111132308
title: Leather Cord from Qumran, Schoyen MS 5095/6

description: [Text Description:] Several pieces of leather cord ❧ [Text or Publication Number Note:] Schoyen MS 5095/6 ❧ [Medium:] Leather ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] 8 pieces of a leather cord, including 2 pieces tied together in a knot ❧ [Physical Object Note:] Width c. 6-7mm; longest piece is 74mm; another 70mm; two ends of cord tied in knot are 33mm and 13mm
DOI: 10.15468/dl.jkrhry
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apristurus herklotsi (Fowler, 1934)"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006176-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.glndjt
title: Occurrence Download

description: A dataset containing 59010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Huperzia selago (L.) Bernh.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59010 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027581-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111132560
title: Leather Cord from Qumran, Schoyen MS 5095/6

description: [Text Description:] Several pieces of leather cord ❧ [Text or Publication Number Note:] Schoyen MS 5095/6 ❧ [Medium:] Leather ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] 8 pieces of a leather cord, including 2 pieces tied together in a knot ❧ [Physical Object Note:] Width c. 6-7mm; longest piece is 74mm; another 70mm; two ends of cord tied in knot are 33mm and 13mm
DOI: 10.15468/dl.xgnycx
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Nano and microzooplankton abundance and biomass at station NBP96-04A-22-5"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180655-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzpadu
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Albizia glaberrima (Schumach. & Thonn.) Benth."
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006167-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111132513
title: Leather Cord from Qumran, Schoyen MS 5095/6

description: [Text Description:] Several pieces of leather cord ❧ [Text or Publication Number Note:] Schoyen MS 5095/6 ❧ [Medium:] Leather ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] 8 pieces of a leather cord, including 2 pieces tied together in a knot ❧ [Physical Object Note:] Width c. 6-7mm; longest piece is 74mm; another 70mm; two ends of cord tied in knot are 33mm and 13mm
DOI: 10.15468/dl.ey0j18
title: Occurrence Download

description: A dataset containing 459643 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Polybius navigator (Herbst, 1794)",
 "TaxonKey is Polydora cornuta Bosc, 1802",
 "TaxonKey is Polydora nuchalis Woodwick, 1953",
 "TaxonKey is Potamotrygon falkneri Castex & Maciel, 1963",
 "TaxonKey is Potamotrygon motoro (Müller & Henle, 1841)",
 "TaxonKey is Procambarus clarkii (Girard, 1852)",
 "TaxonKey is Prochilodus lineatus (Valenciennes, 1837)",
 "TaxonKey is Prosopis juliflora (Sw.) DC.",
 "TaxonKey is Prosopis juliflora f. fruticosa Hauman",
 "TaxonKey is Prosopis pallida (Humb. & Bonpl. ex Willd.) Kunth",
 "TaxonKey is Prunus persica (L.) Batsch",
 "TaxonKey is Prunus persica (L.) Siebold & Zucc.",
 "TaxonKey is Prunus persica (L.) Stokes",
 "TaxonKey is Pseudodiaptomus trihamatus Wright S., 1937",
 "TaxonKey is Pseudoplatystoma corruscans (Spix & Agassiz, 1829)",
 "TaxonKey is Pseudoplatystoma corruscanus (Spix & Agassiz, 1829)",
 "TaxonKey is Pseudoplatystoma fasciatum (Linnaeus, 1766)",
 "TaxonKey is Pseudoplatystoma fasciatum fasciatum",
 "TaxonKey is Pseudoplatystoma fasciatum reticulatum Eigenmann & Eigenmann, 1889",
 "TaxonKey is Pseudoplatystoma reticulatum Eigenmann & Eigenmann, 1889",
 "TaxonKey is Pseudopolydora achaeta Radashevsky & Hsieh, 2000",
 "TaxonKey is Pseudopolydora antennata (Claparède, 1869)",
 "TaxonKey is Pseudopolydora diopatra Hsieh, 1992",
 "TaxonKey is Pseudopolydora paucibranchiata (Okuda, 1937)",
 "TaxonKey is Psidium guajava Raddi",
 "TaxonKey is Psidium guajava L.",
 "TaxonKey is Psidium guajavafolia Berry",
 "TaxonKey is Pteris vittata Schkuhr",
 "TaxonKey is Pteris vittata Forssk.",
 "TaxonKey is Pteris vittata L.",
 "TaxonKey is Pterodoras granulosus (Valenciennes, 1821)",
 "TaxonKey is Pterois miles (Bennett, 1828)",
 "TaxonKey is Pterois volitans (Linnaeus, 1758)",
 "TaxonKey is Pterygoplichthys ambrosettii (Holmberg, 1893)",
 "TaxonKey is Pueraria phaseoloides (Roxb.) Benth.",
 "TaxonKey is Pygocentrus nattereri Kner, 1858",
 "TaxonKey is Pyromaia tuberculata (Lockington, 1877)",
 "TaxonKey is Pyropia suborbiculata (Kjellm.) J.E.Sutherl., H.G.Choi, M.S.Hwang & W.A.Nelson",
 "TaxonKey is Pyrrhura lepida (Wagler, 1832)",
 "TaxonKey is Pyrrhura lepida coerulescens Neumann, 1927",
 "TaxonKey is Pyrrhura lepida anerythra Neumann, 1927",
 "TaxonKey is Pyrus communis L.",
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)",
 "TaxonKey is Rattus rattus (Linnaeus, 1758)",
 "TaxonKey is Rhamphichthys hahni (Meinken, 1937)",
 "TaxonKey is Rhinella jimi (Stevaux, 2002)",
 "TaxonKey is Rhithropanopeus harrisii (Gould, 1841)",
 "TaxonKey is Ricinus communis L.",
 "TaxonKey is Robinia pseudoacacia L.",
 "TaxonKey is Roeboides descalvadensis Fowler, 1932"
 ]
}

 The dataset includes 459643 records from 1864 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005716-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkdvk5
title: Occurrence Download

description: A dataset containing 5842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oreochromis mossambicus (Peters, 1852)"
 ]
}

 The dataset includes 5842 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224550-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byxj40
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rapala manea (Hewitson, 1863)"
 ]
}

 The dataset includes 99 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026472-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbrtsx
title: Occurrence Download

description: A dataset containing 34684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Esox lucius Linnaeus, 1758"
 ]
}

 The dataset includes 34684 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005033-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtree9
title: Occurrence Download

description: A dataset listing the 17071600 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset's 17071600 records were derived from 2462 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026441-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1148317.10fu
title: SH1148317.10FU

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/sh1148319.10fu
title: SH1148319.10FU

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/sh1148320.10fu
title: SH1148320.10FU

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/sh1148321.10fu
title: SH1148321.10FU

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/sh1148324.10fu
title: SH1148324.10FU

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.