cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1376947.10fu
title: SH1376947.10FU

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/sh1376952.10fu
title: SH1376952.10FU

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/sh1376957.10fu
title: SH1376957.10FU

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/sh1376958.10fu
title: SH1376958.10FU

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/sh1376959.10fu
title: SH1376959.10FU

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/sh1376961.10fu
title: SH1376961.10FU

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/sh1376962.10fu
title: SH1376962.10FU

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/sh1376963.10fu
title: SH1376963.10FU

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/sh1376964.10fu
title: SH1376964.10FU

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: 10.15468/dl.f4wexu
title: Occurrence Download

description: A dataset containing 15258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Issue is one of (Zero coordinate, Coordinate out of range, Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "OccurrenceStatus is Present",
 "TaxonKey is Metrioptera brachyptera"
 ]
}

 The dataset includes 15258 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023941-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcpuzt
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cratoneuron filicinum",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 391 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023944-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4gdcm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bryophyte herbarium, The Arctic University Museum of Norway (TROM)",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000536-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcnj22
title: Occurrence Download

description: A dataset containing 2571699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Certhia americana Bonaparte, 1838, Chlorophorus annularis (Fabricius, 1787), Magnaporthiopsis maydis (Samra, Sabet & Hing.) Klaubauf, M.-H.Lebrun & Crous, Peronosclerospora philippinensis (W.Weston) C.G.Shaw, Peronosclerospora maydis (Racib.) C.G.Shaw, Pimelodus maculatus Lacepède, 1803, Sclerospora sorghi W.Weston & Uppal, Ascochyta maydis G.L.Stout, Cercospora zeina Crous & U.Braun, Talaromyces funiculosus (Thom) Samson, N.Yilmaz, Frisvad & Seifert, Aspergillus tamarii Kita, Heterodera zeae Koshy, Swarup & Sethi, 1971, Cercospora zeae-maydis Tehon & E.Y.Daniels, Peronosclerospora miscanthi (T.Miyake) C.G.Shaw, Peronosclerospora spontanea (W.Weston) C.G.Shaw, Coniothyrium phyllachorae Maubl., Paratrichodorus porosus (Allen, 1957) Siddiqi, 1974, Aspergillus fumigatus Fresen., Aspergillus alutaceus Berk. & M.A.Curtis, Mesocriconema sphaerocephalum (Taylor, 1936) Loof, 1989, Peronosclerospora sacchari (T.Miyake) Shirai & Hara, Aspergillus restrictus G.Sm., Longidorus breviannulatus Norton & Hoffmann, 1975, Emericella versicolor (Vuill.) Pitt & A.D.Hocking, Spiroplasma kunkelii Whitcomb et al., 1986, Penicillium oxalicum Currie & Thom, Botryosphaeria zeae (G.L.Stout) Arx & E.Müll., Fusarium boothii O'Donnell, T.Aoki, Kistler & Geiser, Aspergillus candidus Link, Fusarium meridionale T.Aoki, Kistler, Geiser & O'Donnell, Phaeosphaeria variiseptata (G.L.Stout) Shoemaker & C.E.Babc., Pythium butleri Subraman., Ascochyta zeae G.L.Stout, Phakopsora zeae (Mains) Buriticá, Paratrichodorus minor (Colbran, 1956), Penicillium chrysogenum Thom, Kabatiella zeae Narita & Y.Hirats., Physoderma maydis (Miyabe) Miyabe, Claviceps gigantea S.F.Fuentes, Isla, Ullstrup & A.E.Rodr., Xiphinema chambersi, Helicotylenchus pseudorobustus (Steiner, 1914) Golden, 1956, Scutellonema brachyurum (Steiner, 1938) Andrássy, 1958, Peronosclerospora heteropogonis Siradhana, Dange, Rathore & S.D.Singh, Microdochium maydis (E.Müll. & Samuels) Hern.-Restr. & Crous, Orphanocoela maydis (Latterell & A.E.Rossi) Nag Raj, Phaeosphaeria maydis (Henn.) Rane, Payak & Renfro, Aspergillus glaucus (L.) Link, Pythium lutarium Ali-Shtayeh, Trichoderma viride Pers., Didymella maydis (Arny & R.R.Nelson) Qian Chen & L.Cai)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2571699 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000527-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ph63uh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CESJ - Herbário Leopoldo Krieger",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000537-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkaqry
title: Occurrence Download

description: A dataset containing 2229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Bassariscus astutus (Lichtenstein, 1830)"
 ]
}

 The dataset includes 2229 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000535-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27822663.v1
title: A study on the citation impact of Open Science Indicators in the French Open Science Monitor

description: This study investigates the citation impact of various open science practices within the French Open Science Monitor (FOSM) dataset, which includes approximately 900,000 publications by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators (OSI) such as preprint publication, data sharing, and software sharing. Our analysis reveals a positive correlation between these practices and citation counts. Considering our most complete model, we have preprints contributing to a significant and positive effect of 19.8\% on citation counts, software sharing of 12.9\%, and data sharing of 13.3\%. The cumulative increases reach up to 46\% in additional citations for publications engaging in multiple open science practices. This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.
DOI: 10.15468/dl.mt2awk
title: Occurrence Download

description: A dataset containing 698 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day") yearmonthday,
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('HUMAN_OBSERVATION', 'LIVING_SPECIMEN', 'OCCURRENCE')
 AND occurrence.continent IN ('ASIA', 'EUROPE', 'AFRICA')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 2495464 OR occurrence.acceptedtaxonkey = 2495464 OR occurrence.kingdomkey = 2495464 OR occurrence.phylumkey = 2495464 OR occurrence.classkey = 2495464 OR occurrence.orderkey = 2495464 OR occurrence.familykey = 2495464 OR occurrence.genuskey = 2495464 OR occurrence.specieskey = 2495464)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL AND occurrence."day" 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,
 PRINTF('%04d-%02d-%02d', "year", "month", "day"),
 occurrence.countrycode

 The dataset's 698 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5tudh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fungal 28S Ribosomal RNA (LSU) RefSeq Targeted Loci Project.",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000539-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9vchj
title: Occurrence Download

description: A dataset containing 392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "GadmGid is ZAF.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Adansonia digitata L.",
 "Year 2020-2025"
 ]
}

 The dataset includes 392 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000540-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.