cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/njk-fk5-kca
title: Veronica L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ayz-m2l-9tk
title: Centaurium littorale subsp. compressum (Hayne) Kirschner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n26-l9y-5t4
title: Pteroselinum austriacum (Jacq.) Rchb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dyp-45m-drm
title: Astragalus austriacus Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nga-4wb-rmq
title: Asperula tinctoria L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/747-rw3-g8j
title: Alisma gramineum Lej.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kx6-ken-sq5
title: Myosotis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0b4-13a-r2f
title: Alisma gramineum Lej.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.pwc6vp
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplycosia"
 ]
}

 The dataset includes 498 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063307-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1rd-hzz-1zp
title: Astragalus danicus Retz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/86r-2vz-5mg
title: Seseli libanotis (L.) W. D. J. Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/9twj3w3dsm.1
title: Generating vertical ground reaction forces using a stochastic data-driven model for pedestrian walking

description: This dataset is associated to the article entitled "Generating vertical ground reaction forces using a stochastic data-driven model for pedestrian walking". It contains all the algorithms and data required to reproduce all the results presented in that research paper. 

More details can be found within the article (https://doi.org/10.1016/j.jocs.2025.102602)
DOI: 10.17632/zktrrn69xt
title: Transcriptomics reveals the foraging gene regulating the division of labor in Apis mellifera

description: Prominent traits of social insects, such as defense and foraging, are the outcomes of collective effort by many individuals. The processes that integrate worker behavior into coordinated colony patterns are not well understood. In this study, two types of division of labor (DOL) in Western honeybees (Apis mellifera) were examined: foraging (nectar, pollen, and water collection) and defense (guard bees). Methods including the proboscis extension response (PER), quantitative polymerase chain reaction (qPCR), enzyme-linked immunosorbent assay (ELISA), and transcriptome analysis were employed to investigate internal regulatory mechanisms underlying these behaviors. The results showed that PER and gustatory response score (GRS) values for tasks such as water collection were significantly higher than those for defense tasks, while no difference was observed in nutritional foraging tasks like nectar and pollen collection. The relative expression levels of Amfor and PKG activity in water foragers were significantly higher than in guard bees, and pollen foragers showed higher levels than nectar foragers in nutrient collection tasks. Transcriptome analysis revealed that, compared with nectar foragers, the Amfor gene was significantly downregulated in defense and upregulated in pollen and water foragers. Compared with pollen foragers, 43 differentially expressed genes (DEGs) were identified in nectar foragers and 94 DEGs in water foragers. In contrast, 418 DEGs were found when compared with guard bees. DEGs in water foragers were related to body surface morphology, waterproof wax synthesis, and ion and water transport in the Malpighian tubules. In nectar and pollen foragers, DEGs are mainly involved in cGMP synthesis and actin binding. DEGs in defense tasks included genes related to retinol metabolism, olfaction, neurotransmitter transport, and responses to environmental changes. KEGG enrichment analysis showed that pathways regulating movement, cGMP-PKG signaling, oxidative phosphorylation, and thermogenesis, were uniquely enriched in foraging and defense tasks. Weighted Gene Co-expression Network Analysis identified that Nos (nitric oxide synthase), Camkii (calcium/calmodulin-dependent protein kinase II), and genes encoding cGMP-dependent protein kinase (PKG) were part of the cGMP-PKG pathway. These findings indicate that the foraging gene acts as a regulatory factor in the DOL in Western honeybees. Although the specific neuroethological functions of the foraging gene in the insect brain remain unclear, the PKG signaling pathway plays a storage role in neuroplasticity related to sensory, cognitive, and motor functions, forming the basis for behaviors such as foraging and aggression.
DOI: 10.17632/zktrrn69xt.1
title: Transcriptomics reveals the foraging gene regulating the division of labor in Apis mellifera

description: Prominent traits of social insects, such as defense and foraging, are the outcomes of collective effort by many individuals. The processes that integrate worker behavior into coordinated colony patterns are not well understood. In this study, two types of division of labor (DOL) in Western honeybees (Apis mellifera) were examined: foraging (nectar, pollen, and water collection) and defense (guard bees). Methods including the proboscis extension response (PER), quantitative polymerase chain reaction (qPCR), enzyme-linked immunosorbent assay (ELISA), and transcriptome analysis were employed to investigate internal regulatory mechanisms underlying these behaviors. The results showed that PER and gustatory response score (GRS) values for tasks such as water collection were significantly higher than those for defense tasks, while no difference was observed in nutritional foraging tasks like nectar and pollen collection. The relative expression levels of Amfor and PKG activity in water foragers were significantly higher than in guard bees, and pollen foragers showed higher levels than nectar foragers in nutrient collection tasks. Transcriptome analysis revealed that, compared with nectar foragers, the Amfor gene was significantly downregulated in defense and upregulated in pollen and water foragers. Compared with pollen foragers, 43 differentially expressed genes (DEGs) were identified in nectar foragers and 94 DEGs in water foragers. In contrast, 418 DEGs were found when compared with guard bees. DEGs in water foragers were related to body surface morphology, waterproof wax synthesis, and ion and water transport in the Malpighian tubules. In nectar and pollen foragers, DEGs are mainly involved in cGMP synthesis and actin binding. DEGs in defense tasks included genes related to retinol metabolism, olfaction, neurotransmitter transport, and responses to environmental changes. KEGG enrichment analysis showed that pathways regulating movement, cGMP-PKG signaling, oxidative phosphorylation, and thermogenesis, were uniquely enriched in foraging and defense tasks. Weighted Gene Co-expression Network Analysis identified that Nos (nitric oxide synthase), Camkii (calcium/calmodulin-dependent protein kinase II), and genes encoding cGMP-dependent protein kinase (PKG) were part of the cGMP-PKG pathway. These findings indicate that the foraging gene acts as a regulatory factor in the DOL in Western honeybees. Although the specific neuroethological functions of the foraging gene in the insect brain remain unclear, the PKG signaling pathway plays a storage role in neuroplasticity related to sensory, cognitive, and motor functions, forming the basis for behaviors such as foraging and aggression.
DOI: 10.15468/dl.atn9ad
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Proteles cristata (Sparrman, 1783)"
 ]
}

 The dataset includes 189 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007392-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5vfc6
title: Occurrence Download

description: A dataset containing 13597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia hypericifolia L."
 ]
}

 The dataset includes 13597 records from 368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007391-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zamzm
title: Occurrence Download

description: A dataset containing 107502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cissus adnata Roxb., Cissus alata Jacq., Cissus anisophylla Lombardi, Cissus antarctica Vent., Cissus aristolochiifolia Planch., Cissus assamica (M.A.Lawson) Craib, Cissus bathyrhakodes Werderm., Cissus biformifolia Standl., Cissus cacuminis Standl., Cissus coccinea (Baker) Mart. ex Planch., Cissus colombiensis Lombardi, Cissus convolvulacea Planch., Cissus cornifolia (Baker) Planch., Cissus craibii Gagnep., Cissus cucurbitina Standl., Cissus L., Cissus decidua Lombardi, Cissus elongata Roxb., Cissus erosa (L.) Rich., Cissus faucicola Wild & R.B.Drumm., Cissus fuliginea Kunth, Cissus gossypiifolia Standl., Cissus grisea (Baker) Planch., Cissus guerkeana (Büttner) T.Durand & Schinz, Cissus hastata (Miq.) Planch., Cissus hypoglauca A.Gray, Cissus integrifolia (Baker) Planch., Cissus intermedia A.Rich., Cissus javana DC., Cissus leemansii Dewit, Cissus leonardii Dewit, Cissus mexicana Moc. & Sessé ex DC., Cissus microcarpa Vahl, Cissus milnei Verdc., Cissus neei Croat, Cissus nigropilosa Dewit, Cissus nodosa Blume, Cissus oblonga (Benth.) Planch., Clematicissus opaca (F.Muell.) Jackes & Rossetto, Cissus palmata Poir., Cissus paullinifolia Vell., Nothocissus penninervis (F.Muell.) Latiff, Cissus pentaclada Jackes, Cissus populnea Guill. & Perr., Cissus producta Afzel., Cissus quadrangularis L., Cissus quarrei Dewit, Cissus reniformis Domin, Cissus repens Lam., Cissus rotundifolia (Forssk.) Vahl, Cissus verticillata (L.) Nicolson & C.E.Jarvis, Cissus spinosa Cambess., Nothocissus sterculiifolia (F.Muell. ex Benth.) Latiff, Cissus stipulata Vell., Cissus striata Ruiz & Pav., Cissus tiliacea Kunth, Cissus trianae Planch., Cissus trifoliata (L.) L., Cissus vinosa Jackes, Cissus vitiginea L.)"
 ]
}

 The dataset includes 107502 records from 833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228252-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.856zkg
title: Occurrence Download

description: A dataset containing 36077 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysophyllum L."
 ]
}

 The dataset includes 36077 records from 587 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245571-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46vjdp
title: Occurrence Download

description: A dataset containing 94527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cissus L."
 ]
}

 The dataset includes 94527 records from 825 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245575-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1374915.10fu
title: SH1374915.10FU

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/sh1374916.10fu
title: SH1374916.10FU

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/sh1374918.10fu
title: SH1374918.10FU

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/sh1374920.10fu
title: SH1374920.10FU

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/sh1374921.10fu
title: SH1374921.10FU

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/sh1374922.10fu
title: SH1374922.10FU

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/sh1374926.10fu
title: SH1374926.10FU

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/sh1374928.10fu
title: SH1374928.10FU

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/sh1374929.10fu
title: SH1374929.10FU

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/sh1374932.10fu
title: SH1374932.10FU

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: 10.5281/zenodo.17329272
title: translate_greek.csv
DOI: 10.5281/zenodo.17329273
title: translate_greek.csv
DOI: 10.15468/dl.ctjah3
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.HKG",
 "Month is September",
 "TaxonKey is Pycnonotus",
 "Year 2014-2014"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009353-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.