cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive149261.20241212.9.2
title: Exiguobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136961.10fu
title: SH0136961.10FU

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: 10.13145/bacdive149261.20251217.10
title: Exiguobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149262.20241212.9.2
title: Rothia mucilaginosa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149262.20251217.10
title: Rothia mucilaginosa

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136962.10fu
title: SH0136962.10FU

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/sh0136963.10fu
title: SH0136963.10FU

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: 10.13145/bacdive149263.20241212.9.2
title: Moraxella nonliquefaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive149263.20251217.10
title: Moraxella nonliquefaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0136964.10fu
title: SH0136964.10FU

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.ttohox
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moschiola indica (Gray, 1852)"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033035-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9v5vr
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bedotia geayi Pellegrin, 1907"
 ]
}

 The dataset includes 100 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247591-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbmpgt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Polyommatus golgus (Hübner, 1813)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014857-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feg3vt
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Pinus fenzeliana Hand.-Mazz."
 ]
}

 The dataset includes 145 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256203-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ektjk3
title: Occurrence Download

description: A dataset containing 1034 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plectrohyla sagorum Hartweg, 1941"
 ]
}

 The dataset includes 1034 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132998-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sr6dc
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.41071 34.53552,-80.43365 34.53552,-80.43365 36.8866,-84.41071 36.8866,-84.41071 34.53552))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron vaseyi A.Gray"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257075-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsve6h
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barleria prionitis L.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 231 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014858-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e65eg
title: Occurrence Download

description: A dataset containing 5037706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5037706 records from 2398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059900-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncqw6v
title: Occurrence Download

description: A dataset containing 11732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mullus surmuletus Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 11732 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004611-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xucmj5
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeolothrips albicinctus Haliday, 1836",
 "HasCoordinate is true"
 ]
}

 The dataset includes 230 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004609-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8r3bk
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lipotriche elliptica (O.Hoffm.) D.J.N.Hind",
 "Continent is Africa"
 ]
}

 The dataset includes 356 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004612-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twupk7
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus arvensis",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005976-251009101135966/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.26021533
title: 20B10032521_Variations_1605582796162.xlsx

description: The datasheets include the filtered gene variations of the patient.
DOI: 10.6084/m9.figshare.26021533.v1
title: 20B10032521_Variations_1605582796162.xlsx

description: The datasheets include the filtered gene variations of the patient.
DOI: 10.5281/zenodo.11525310
title: Artifacts for "Are LLMs all we need in code comparison tasks?"

description: This is the artifacts for paper "Are LLMs all we need in code comparison tasks?"

It includes all the datasets and results.
DOI: 10.5281/zenodo.11610661
title: INTRODUCTION AND INVESTMENT PROVISION OF INNOVATIVE PROCESSES IN AGRICULTURAL DEVELOPMENT: PROBLEMS AND SOLUTIONS IN THE ECONOMY
DOI: 10.5281/zenodo.11610662
title: INTRODUCTION AND INVESTMENT PROVISION OF INNOVATIVE PROCESSES IN AGRICULTURAL DEVELOPMENT: PROBLEMS AND SOLUTIONS IN THE ECONOMY
DOI: 10.15468/dl.bke8rp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onychostoma dongnaiensis Hoang, Pham & Tran, 2015"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070954-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpn5sa
title: Occurrence Download

description: A dataset containing 26705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Year 2000-2024"
 ]
}

 The dataset includes 26705 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070953-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkhptv
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onychostoma fangi Kottelat, 2000"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070955-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11610439
title: MBE Growth of GeSn devices with intrinsic disorder

description: These files consist of experimental data on GeSn devices. There are MATLAB files that were used to plot and analyse data.
DOI: 10.5281/zenodo.11610440
title: MBE Growth of GeSn devices with intrinsic disorder

description: These files consist of experimental data on GeSn devices. There are MATLAB files that were used to plot and analyse data.
DOI: 10.15468/dl.xe3gm4
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Onychostoma elongatum (Pellegrin & Chevey, 1934)"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070956-240506114902167/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.26014840.v3
title: Ruiz et al. (2024) - Fish eDNA metabarcodes' taxonomic resolution

description: Even though environmental DNA (eDNA) metabarcoding is revolutionizing biomonitoring, many critical steps remain unstandardized leading to arbitrary choices. Among them, choosing PCR primers and similarity thresholds for clustering can drastically influence inferences on biodiversity. For fishes, current<i> in silico </i>comparisons have generally focused on primer sets properties, but few have compared the taxonomic resolution for a comprehensive set of metabarcodes while more than 20 exists. In addition, these studies were hampered by genetic database biases, uncertain taxonomic reference, as well as unstandardized and simplistic taxonomic resolution definitions. To overcome these issues, we developed a robust framework based on the comparison of metabarcodes extracted from the same mitogenomes (all available for fishes in NCBI) to a standardized taxonomic reference baseline based on COI Barcode Index Numbers (BINs), allowing to quantify both false-positive (same taxon splitting) and false-negative (different taxa merging) as well as their determinants. Although each metabarcode exhibited various sensitivities to false-negative or false-positive errors, clustering threshold appears as the most important factor influencing biodiversity estimates, leading us to propose optimal similarity thresholds per metabarcode for taxonomic levels delineation (metabarcode gaps). In addition, we also found that taxonomic resolution significantly varied among gene, orders and community properties (diversity/redundancy), but not with metabarcode length as previously thought. Overall, our study strongly prevents against the blind choice of metabarcode and clustering threshold, which must be instead adapted the goal of each study. A set of commented R functions makes it easy to apply this taxonomic resolution evaluation to any other animal taxa.
DOI: 10.15468/dl.cp2mzp
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070935-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy369p
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Siamophryne troglodytes Suwannapoom, Sumontha, Tunprasert, Ruangsuwan, Pawangkhanant, Korost & Poyarkov, 2018",
 "Year 2000-2024"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070957-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.w6xumy
title: GenDivRange

description: GBIF observations for species distributions proxies
DOI: 10.15156/bio/sh1174611.10fu
title: SH1174611.10FU

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/sh1174612.10fu
title: SH1174612.10FU

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/sh1174615.10fu
title: SH1174615.10FU

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/sh1174617.10fu
title: SH1174617.10FU

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.