cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14991514
title: Project TIN CANN - projMCS6 - Pairwise Comparisons
DOI: 10.15468/dl.ggxhps
title: Occurrence Download

description: A dataset containing 79444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is one of (iNaturalist Research-grade Observations, BLM - National Landscape Monitoring Framework - Plants)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cylindropuntia (Engelm.) F.M.Knuth",
 "Year 1964-2025"
 ]
}

 The dataset includes 79444 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008377-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up792f
title: Occurrence Download

description: A dataset containing 1107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Grevillea banksii R.Br.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1107 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008301-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbkmb8
title: Occurrence Download

description: A dataset containing 541126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ilex aquifolium L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 541126 records from 2036 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008296-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpqes6
title: Occurrence Download

description: A dataset containing 10853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Cedrela odorata L."
 ]
}

 The dataset includes 10853 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000855-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkxc5w
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atraphaxis compacta Ledeb."
 ]
}

 The dataset includes 43 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000856-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kv3s9j
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epiplatys guineensis Romand, 1994"
 ]
}

 The dataset's 2 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.much28
title: Occurrence Download

description: A dataset containing 59534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "MediaType is Image",
 {
 "or" : [
 "ScientificName is Agropyron cristatum (L.) Gaertn.",
 "ScientificName is Allium polyrhizum Turcz. ex Regel",
 "ScientificName is Artemisia adamsii Besser",
 "ScientificName is Artemisia frigida Willd.",
 "ScientificName is Chenopodium album L.",
 "ScientificName is Cleistogenes squarrosa (Trin.) Keng",
 "ScientificName is Convolvulus ammannii Desr.",
 "ScientificName is Dontostemon integrifolius (L.) Ledeb.",
 "ScientificName is Leymus chinensis (Trin.) Tzvelev",
 "ScientificName is Heteropappus altaicus (Willd.) Novopokr.",
 "ScientificName is Koeleria macrantha (Ledeb.) Schult.",
 "ScientificName is Potentilla bifurca L.",
 "ScientificName is Ptilotrichum canescens (DC.) C.A.Mey.",
 "ScientificName is Stipa glareosa P.A.Smirn.",
 "ScientificName is Stipa klemenzii Roshev.",
 "ScientificName is Stipa krylovii Roshev."
 ]
 }
 ]
}

 The dataset includes 59534 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000811-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1sucfwv
title: ECCOE 2023 Surface Reflectance Validation Dataset

description: Scientists and engineers from the U.S. Geological Survey (USGS) Earth Resources Observation and Science Center (EROS) Cal/Val Center of Excellence (ECCOE) collected in situ measurements using field spectrometers to support the validation of surface reflectance products derived from Earth observing remote sensing imagery. Data provided in this data release were collected during select Earth observing satellite overpasses during the months of May through November 2023 at the USGS EROS facility in Minnehaha County, South Dakota. Each field collection file includes the calculated surface reflectance of each wavelength collected using a dual field spectrometer methodology. The dual field spectrometer methodology allows for the calculated surface reflectance of each wavelength to be computed using one or both of the spectrometers. The use of the dual field spectrometers system reduces uncertainty in the field measurements by accounting for changes in solar irradiance. Both single and dual spectrometer calculated surface reflectance are included with this dataset. The differing methodologies of the calculated surface reflectance data are denoted as "Single Spectrometer" and "Dual Spectrometer". Field spectrometer data are provided as Comma Separated Values (CSV) files and GeoPackage files.
DOI: 10.15468/dd.dk4m3h
title: Ficopomatus enigmaticus records used for Wind-NIS project dispersal modelling

description: Records of *Ficopomatus enigmaticus* were filtered to OSPAR Region II. Records missing coordinates, duplicate records, and records from fossil and preserved specimens were removed.
DOI: 10.18154/rwth-2024-00102
title: Ergänzende Berechnungen und Informationen aus der Dissertation Erzeugung synthetischer Wöhlerlinien für Sinterstähle mithilfe künstlicher neuronaler Netze
DOI: 10.18154/rwth-2024-11480
title: Design of Delamination- and Impact-Resistant Fibre Reinforced Composites based on Customized 3D Multilayer Fabrics [DATASET]

description: This record provides an overview of the data from the dissertation “Design of Delamination- and Impact-Resistant Fibre Reinforced Composites based on Customized 3D Multilayer Fabrics" by Philipp Maria Huber, RWTH Aachen University, date of oral examination 31.10.2024. A total of twelve 3D-woven CFRP and one laminated reference were developed, manufactured and extensively tested. The data is provided according to the FAIR principle under the listed records. The data is intended for further use, e.g. for modelling or calculations and to facilitate the development of 3D-woven FRP. A suitable licence is attached to each individual file. The naming of the files corresponds to the nomenclature used in the dissertation. All data sets are named with the test method and the sample designation. The produced fabrics, composites, provided data and contributing students are listed in the attached PDF. The respective datasets can be accessed via the related database entries.
DOI: 10.15468/dl.ndgvjw
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.8563 51.35181,6.54147 51.35181,6.54147 51.70544,5.8563 51.70544,5.8563 51.35181))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plecotus auritus (Linnaeus, 1758)"
 ]
}

 The dataset includes 117 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000857-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z26qu
title: Occurrence Download

description: A dataset containing 78428 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates pipiens (Schreber, 1782)"
 ]
}

 The dataset includes 78428 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000090-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/hgv1cg
title: FINAL_MetabO_Pos_5192.tab

description: Untargeted metabolomic LCMS dataset_positive mode
DOI: 10.57745/lfvnph
title: FINAL_MetabO_Neg_4133.tab

description: Untargeted metabolomic LCMS dataset_negative mode
DOI: 10.57745/rxdorn
title: ReadMe_Metabolomicdata_Berries_Syrah.docx

description: :unav
DOI: 10.15468/dl.err38g
title: Occurrence Download

description: A dataset containing 31312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adonis vernalis L."
 ]
}

 The dataset includes 31312 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000859-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s56hh
title: Occurrence Download

description: A dataset containing 9076411 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 {
 "and" : [
 "Country is United States of America",
 "StateProvince is one of (vermont, vermont (state))",
 "HasCoordinate is false",
 "OccurrenceStatus is Present"
 ]
 },
 {
 "and" : [
 "GadmGid is USA.46_1",
 "OccurrenceStatus is Present"
 ]
 }
 ]
 },
 "TaxonKey is one of (Aves)"
 ]
}

 The dataset includes 9076411 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000078-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvq6a9
title: Occurrence Download

description: A dataset containing 33485001 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 33485001 records from 4679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000103-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0065453.10fu
title: SH0065453.10FU

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/sh0065454.10fu
title: SH0065454.10FU

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.2uvdpm
title: Occurrence Download

description: A dataset containing 6293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus serratulae",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 6293 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076107-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0065455.10fu
title: SH0065455.10FU

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/sh0065456.10fu
title: SH0065456.10FU

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/sh0065457.10fu
title: SH0065457.10FU

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/sh0065458.10fu
title: SH0065458.10FU

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/sh0065459.10fu
title: SH0065459.10FU

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/sh0065460.10fu
title: SH0065460.10FU

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.uum8cv
title: Occurrence Download

description: A dataset containing 145233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sagina procumbens)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 145233 records from 890 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076096-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0065461.10fu
title: SH0065461.10FU

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/sh0065462.10fu
title: SH0065462.10FU

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.