cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0016236.10fu
title: SH0016236.10FU

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: 10.3535/94c-jnt-zsm
title: Viola rupestris subsp. rupestris

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/v1f-gq3-7cx
title: Viola rupestris subsp. rupestris

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0016237.10fu
title: SH0016237.10FU

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: 10.3535/aqe-df6-vpg
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0016238.10fu
title: SH0016238.10FU

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: 10.3535/4dk-kgf-49b
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/sa3-774-63d
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0016239.10fu
title: SH0016239.10FU

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: 10.3535/7z4-rvl-q0x
title: Viola rupestris subsp. rupestris

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.gd6utz
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario Estación Científica Charles Darwin",
 "TaxonKey is Tribulus L.",
 "Year 2016-2024"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007588-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2vsvp
title: Occurrence Download

description: A dataset containing 4656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Tamaulipas",
 "TaxonKey is Fabaceae"
 ]
}

 The dataset includes 4656 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007589-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9d2vt3
title: Occurrence Download

description: A dataset containing 451503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "StateProvince is Campeche",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 451503 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007561-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9up3ea
title: Occurrence Download

description: A dataset containing 5914 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spea hammondii (Baird, 1859)"
 ]
}

 The dataset includes 5914 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007590-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x36f6d
title: Occurrence Download

description: A dataset containing 451503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "StateProvince is Campeche",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 451503 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007572-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agme85
title: Occurrence Download

description: A dataset containing 1225338 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Holcus lanatus L.)"
 ]
}

 The dataset includes 1225338 records from 3703 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007566-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyyqt3
title: Occurrence Download

description: A dataset containing 51949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.94827 20.23788,-103.04891 20.23788,-103.04891 21.14456,-103.94827 21.14456,-103.94827 20.23788))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 51949 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007534-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exrc9u
title: Occurrence Download

description: A dataset containing 592099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Furnariidae",
 "HasCoordinate is true",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Country is Colombia"
 ]
}

 The dataset includes 592099 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007458-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggpgaz
title: Occurrence Download

description: A dataset containing 4525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.5.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sialia mexicana Swainson, 1832"
 ]
}

 The dataset includes 4525 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007541-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djjccn
title: Occurrence Download

description: A dataset containing 235110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bombus impatiens Cresson, 1863)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 235110 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007443-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/cdaq-va45
title: FlowCam Plankton Image Collection - Perth Coastal Waters 2022

description: The Perth Coastal Waters 2022 image collection represents a comprehensive plankton imaging survey conducted at 15 sampling stations along the coast of Western Australia in August 2022. Using a FlowCam 8400 imaging flow cytometer, the project captured and processed over 218,000 individual plankton images extracted from 2,453 collage images. The dataset covers coastal waters from 32.264°S to 32.117°S and 115.683°E to 115.760°E, with samples collected using standardized 100 μm mesh plankton nets at depths ranging from -19.0m to -4.0m. Each image includes detailed morphological measurements, optical properties, and volumetric calculations, making this dataset particularly valuable for developing automated plankton classification systems using machine learning techniques. The dataset represents a significant advancement in marine plankton imaging and automated taxonomic classification efforts, with all data processed and standardized according to FAIR (Findable, Accessible, Interoperable, Reusable) principles.
DOI: 10.15468/dl.twzt6c
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-134.63588 59.77368,-132.81999 62.68375,-136.82425 69.85418,-141.96926 69.59809,-140.94492 59.47103,-134.63588 59.77368))",
 "TaxonKey is Phaonia alpicola (Zetterstedt, 1845)"
 ]
}

 The dataset includes 122 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007543-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14028503
title: Hardware Performance Archive

description: SHA256

MD5
DOI: 10.5281/zenodo.14028504
title: Hardware Performance Archive
title: HPA: Version 1.0.8

description: Checksum




MD5
 


SHA-1
 


SHA-256
 


SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14262334
title: Hardware Performance Archive
title: HPA: Version 1.0.9

description: Checksum




MD5
 


SHA-1
 


SHA-256
 


SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14372154
title: Hardware Performance Archive
title: HPA: Version 1.0.7

description: Checksum




MD5
 


SHA-1
 


SHA-256
bf47c81665dc45d513b8e1d393c04695e3978eb14b1ef39e61039335a62de9ab


SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14373106
title: Hardware Performance Archive
title: HPA: Version 1.0.6.1

description: Checksum




MD5
 


SHA-1
 


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SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14373388
title: Hardware Performance Archive
title: HPA: Version 1.0.6

description: Checksum




MD5
 


SHA-1
 


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SHA-512
DOI: 10.5281/zenodo.14399061
title: Hardware Performance Archive
title: HPA: Version 1.0.4

description: Checksum




MD5
 


SHA-1
 


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SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14399147
title: Hardware Performance Archive
title: HPA: Version 1.0.0

description: Checksum




MD5
 


SHA-1
 


SHA-256
5d7ade8ff7974b329308423165cecaabda5d9d6f002026c5e84d7f1929e82e7f


SHA-384
 


SHA-512
DOI: 10.5281/zenodo.14399388
title: Hardware Performance Archive
title: HPA: Version 1.0.3

description: Checksum




MD5
 


SHA-1
 


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SHA-512
DOI: 10.5281/zenodo.14399613
title: Hardware Performance Archive
title: HPA: Version 1.0.1

description: Checksum




MD5
 


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DOI: 10.5281/zenodo.14410007
title: Hardware Performance Archive
title: HPA: Version 1.0.2

description: Checksum




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DOI: 10.5281/zenodo.14410125
title: Hardware Performance Archive
title: HPA: Version 1.0.5

description: Checksum




MD5
 


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DOI: 10.5281/zenodo.14590489
title: Hardware Performance Archive
title: HPA: Version 1.1.0

description: Checksum




MD5
 


SHA-1
 


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SHA-512
DOI: 10.5281/zenodo.14977204
title: Hardware Performance Archive

description: SHA256

MD5
DOI: 10.25919/kng4-sr03
title: CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2023

description: The CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2023 is a comprehensive collection of high-quality microscopy images documenting the morphological diversity of phytoplankton species from the Australian National Algae Culture Collection (ANACC).
DOI: 10.15468/dl.836w6y
title: Occurrence Download

description: A dataset containing 2158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sciurus deppei Peters, 1863"
 ]
}

 The dataset includes 2158 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007544-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/jax0-7338
title: CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2021

description: The CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2021 is a comprehensive collection of high-quality microscopy images documenting the morphological diversity of phytoplankton species from the Australian National Algae Culture Collection (ANACC).
DOI: 10.15468/dl.yz9zqg
title: Occurrence Download

description: A dataset containing 220942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Arthurdendyus triangulatus (Dendy, 1895), Cabomba caroliniana A.Gray, Callosciurus finlaysonii (Horsfield, 1823), Cherax destructor Clark, 1936, Corvus splendens Vieillot, 1817, Crassula helmsii (Kirk) Cockayne, Elodea densa (Planch.) Casp., Eriocheir sinensis H.Milne Edwards, 1853, Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Gambusia affinis (Baird & Girard, 1853), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Heracleum pubescens (Hoffm.) M.Bieb., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Lepomis gibbosus (Linnaeus, 1758), Limnoperna fortunei (Dunker, 1857), Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Morone americana (Gmelin, 1789), Muntiacus reevesi (Ogilby, 1839), Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Pacifastacus leniusculus (Dana, 1852), Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Pseudorasbora parva (Temminck & Schlegel, 1846), Pycnonotus cafer (Linnaeus, 1766), Saururus cernuus L., Sciurus carolinensis Gmelin, 1788, Sciurus niger Linnaeus, 1758, Solenopsis invicta Buren, 1972, Solenopsis richteri Forel, 1909, Threskiornis aethiopicus (Latham, 1790), Vespa velutina Lepeletier, 1836, Zizania latifolia (Griseb.) Hance ex F.Muell.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 220942 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007455-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkwg6u
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sciurus griseus Ord, 1818"
 ]
}

 The dataset includes 34 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007545-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h72wfj
title: Occurrence Download

description: A dataset containing 71251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea montana L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 71251 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007539-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/0xpd-7f75
title: CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2022

description: The CSIRO Australian Phytoplankton Microscopy Dataset (CAPMD) 2022 is a comprehensive collection of high-quality microscopy images documenting the morphological diversity of phytoplankton species from the Australian National Algae Culture Collection (ANACC).
DOI: 10.15468/dl.qa4p7k
title: Occurrence Download

description: A dataset listing the 38500 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is one of (ARizona, Arizona, Arizoan, Arizoma, Arizon, Arizona (AZ), Arizona (State), Arizona ?, Arizona ;Western USA, Arizona State, Arizona,, Arizona, United States)",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 38500 records were derived from 735 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007461-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10479130
title: UFLUX 100m daily photosynthesis fluxes in in southwestern UK 2021

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in southwestern UK 2021

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266