cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0204502.10fu
title: SH0204502.10FU

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/sh0204503.10fu
title: SH0204503.10FU

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/sh0204504.10fu
title: SH0204504.10FU

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/sh0204505.10fu
title: SH0204505.10FU

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/sh0204506.10fu
title: SH0204506.10FU

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/sh0204507.10fu
title: SH0204507.10FU

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/sh0204508.10fu
title: SH0204508.10FU

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/sh0204509.10fu
title: SH0204509.10FU

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.6yjfjq
title: Occurrence Download

description: A dataset containing 529541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus terrestris"
 ]
}

 The dataset includes 529541 records from 1232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002200-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fxvs9
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Lepidosiren paradoxa Fitzinger, 1837"
 ]
}

 The dataset includes 33 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000462-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3gfck
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is Passer pyrrhonotus Blyth, 1845",
 "Year 1000-2025"
 ]
}

 The dataset includes 199 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000463-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43xg86
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chondracanthus chamissoi (C.Agardh) Kütz., 1843"
 ]
}

 The dataset includes 564 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000460-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phtpp5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation)",
 "TaxonKey is Pan troglodytes ellioti (Matschie, 1914)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000461-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2lq54n
title: CCDC 2404581: Experimental Crystal Structure Determination

description: Related Article: D. Kuzman, V. Damjanović, M. Cindrić, V. Vrdoljak|2025|CrystEngComm|27|1128|doi:10.1039/D4CE01187B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lq58s
title: CCDC 2404585: Experimental Crystal Structure Determination

description: Related Article: D. Kuzman, V. Damjanović, M. Cindrić, V. Vrdoljak|2025|CrystEngComm|27|1128|doi:10.1039/D4CE01187B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48577/jpl.ngajuq
title: Optical alignment of the Roman Space Telescope’s Coronagraph Instrument

description: Optical alignment of the Coronagraph Instrument (CGI) was completed in time to begin its full-functional and environmental testing and its integration into the Roman Space Telescope (RST). CGI optics relay the optical pupil of the RST five times so that science operations can be conducted at internal pupil and image planes. The CGI has multiple active optical assemblies, including a fast-steering mirror, a focus-control mirror, two deformable mirrors, and six precision alignment mechanisms that articulate masks and apertures into the beam. Initial alignment of CGI optics was accomplished using an interferometer to measure the wavefront error as optics were added sequentially from back to front. The end-to-end wavefront error was initially verified using surrogate optics in place of active optical assemblies, to allow their simultaneous development. Throughout alignment, pupil and image planes were referenced and coaligned optically using fiducials. Upon alignment of the pupil-relay optics, the active optical assemblies were integrated and aligned, and the entire CGI alignment was then optimized. The CGI optical subsystem was mapped to fiducials, which will later be used to integrate CGI into the RST observatory. This manuscript details the many alignment steps required to successfully achieve the performance criteria of the CGI.
DOI: 10.15468/dl.rdjrfu
title: Occurrence Download

description: A dataset containing 6857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.28490 4.65335,-73.98218 4.65335,-73.98218 4.77451,-74.28490 4.77451,-74.28490 4.65335))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubulcus ibis (Linnaeus, 1758)"
 ]
}

 The dataset includes 6857 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000466-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srfhtg
title: Occurrence Download

description: A dataset containing 4195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theobroma L.",
 "HasCoordinate is true",
 "Country is Colombia"
 ]
}

 The dataset includes 4195 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000467-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310018401-eng
title: Innovation activities conducted, by industry and enterprise size

description: Percentage of enterprises that conducted specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
DOI: 10.15468/dl.5vnv2k
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation)",
 "TaxonKey is Pan troglodytes troglodytes"
 ]
}

 The dataset includes 81 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000468-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.9zu7cn
title: Endurance: South Pole-Aitken Sample Returnand Exploration (SPARX) Rover

description: No abstract available.
DOI: 10.15468/dl.9gw9zq
title: Occurrence Download

description: A dataset containing 29431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Pteridium aquilinum",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 29431 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000469-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3310018401-fra
title: Activités d’innovation menées, selon l'industrie et la taille de l’entreprise

description: Pourcentage d’entreprises qui ont mené des activités d’innovation particulières, selon le code du Système de classification des industries de l’Amérique du Nord (SCIAN) et la taille de l’entreprise, sur une période d’observation d’un an. Les activités d’innovation peuvent comprendre les suivantes : recherche et développement expérimental; acquisition ou développement d’une technologie de pointe; activités de conception relatives à l'innovation d’autres organisations; formation des employés propre aux projets d’innovation; activités de consultation d’experts externes ou de groupes de travail internes; activités d’élaboration et de mise en œuvre de nouvelles méthodes de marketing; activités de préparation du marché directement liées au lancement de nouveaux biens ou services; autres activités d’innovation. Les estimations se rapportent à l’exercice financier 2017 (la date de fin se situant entre le 1er janvier 2017 et le 31 décembre 2017).
DOI: 10.5281/zenodo.14732476
title: Dataset and Associated Scripts for the Manuscript "Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations"

description: This dataset includes all data used in "Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations", and the scripts to recreate all plots found in the manuscript.

Information about the data and instructions to recreate the plots can be found in the README document. If any further information is required, please contact the corresponding author, Dr Ashwin Kumar Rajagopalan (a.rajagopalan@manchester.ac.uk).
DOI: 10.5281/zenodo.14732477
title: Dataset and Associated Scripts for the Manuscript "Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations"

description: This dataset includes all data used in "Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations", and the scripts to recreate all plots found in the manuscript.

Information about the data and instructions to recreate the plots can be found in the README document. If any further information is required, please contact the corresponding author, Dr Ashwin Kumar Rajagopalan (a.rajagopalan@manchester.ac.uk).
DOI: 10.15468/dl.56nms9
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saguinus niger (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 119 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000470-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/md/wis-sn1-2012-current_meter-qc
title: Current meter dataset with Quality Control (Nobska MAVS-3 @ 2 Hz) from INGV/NEMO-SN1 seafloor platform during SMO project in Western Ionian Sea site (East Sicily), part of EMSO network

description: This sensor performs water current measures in a three axial reference system. Flow velocity and direction is measured by observing the time-of-arrival difference of sound along the acoustic paths. It has also a compass in order to measure the earth's magnetic field, and a tilt sensor to measure the instrument's angle. Using these measurements, the direction of the instrument can be determined and consequently the flow direction.
This Quality Controlled (QC) version of the datasets has been elaborated verifying sensor efficiency through post-calibration and standardized validation procedures. More information about QC procedures is contained in the download file.
DOI: 10.25318/3310018501-eng
title: Average expenditures on innovation activities, by industry and enterprise size

description: Average expenditures (x 1,000) on specific innovation activities, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Innovation activities include research and experimental development; acquisition or development of advanced technology; design activities related to other organizations; employee training specifically for innovation projects; consultation activities with external experts or internal workgroups; activities related to the development and implementation of new marketing methods; market preparation activities directly linked to the introduction of new goods or services; and other innovation activities. Estimates refer to fiscal year 2017 (end date falling after January 1, 2017 and on or before December 31, 2017).
DOI: 10.25318/3310018501-fra
title: Dépenses moyennes en activités d’innovation, selon l'industrie et la taille de l’entreprise

description: Dépenses moyennes (x 1 000) pour certaines activités d’innovation, selon le code du Système de classification des industries de l’Amérique du Nord (SCIAN) et la taille de l’entreprise, sur une période d’observation d’un an. Les activités d’innovation peuvent comprendre les suivantes : recherche et développement expérimental; acquisition ou développement d’une technologie de pointe; activités de conception relatives à l'innovation d’autres organisations; formation des employés propre aux projets d’innovation; activités de consultation d’experts externes ou de groupes de travail; activités d’élaboration et de mise en œuvre de nouvelles méthodes de marketing; activités de préparation du marché directement liées au lancement de nouveaux biens ou services; autres activités d’innovation. Les estimations se rapportent à l’exercice financier 2017 (la date de fin se situant entre le 1er janvier 2017 et le 31 décembre 2017).