cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/mys-ps8-4yp
title: Solanum sieberi Van Heurck & Müll. Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pd2-hea-pwq
title: Pteronia uncinata DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1vk-2fq-8wt
title: Utricularia triloba R. D. Good

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svq-b4d-8hy
title: Elwendia kuhitangi (Nevski) Pimenov & Kljuykov

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7w8-6py-6db
title: Pentameris colorata (Steud.) Galley & H.P.Linder

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/96x-j34-47t
title: Callicostella papillata var. brevifolia M. Fleisch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rpv-3r6-y57
title: Spermacoce verticillata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wcp-w2z-6yn
title: Solanum laxum Spreng.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y9g-3mt-9a5
title: Hedysarum macranthum (Freyn & Sint.) B.Fedtsch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zvv-j0v-76l
title: Solanum evonymoides Sendtn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/07q-fsf-8cb
title: Solanum mauritianum Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f5w-hpk-rv0
title: Wahlenbergia grandiflora Brehmer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m40-8fr-czz
title: Psoralea wilmsii Harms

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rar-g62-7g5
title: Wissadula glechomifolia (A. St.-Hil.) R. E. Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7nc-wm2-fs6
title: Astragalus scholerianus Bornm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x01-32y-9gm
title: Tecoma stans (L.) Juss. ex Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/aw0-b8a-72a
title: Horaninovia minor Schrenk ex Fisch. & C. A. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yed-8c0-e2f
title: Senefeldera verticillata (Vell.) Croizat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2at-7w9-jf8
title: Ilex dumosa Reissek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6lr-s49-fj5
title: Wedelia montevidensis (Spreng.) B. L. Turner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h1n-y2n-r6p
title: Geranium cuneatum subsp. hololeucum (A. Gray) Carlquist & Bissing

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/75w-ymp-lpq
title: Lucilia acutifolia (Poir.) Cass.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jnk-fpz-9d6
title: Simira pikia (K.Schum.) Steyerm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mwa-8vg-n6y
title: Zanthoxylum fagara (L.) Sarg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.adnry9
title: Occurrence Download

description: A dataset containing 328517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Persicaria maculosa"
 ]
}

 The dataset includes 328517 records from 2231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065013-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgcmqg
title: Occurrence Download

description: A dataset containing 53970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scheuchzeria palustris L.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53970 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007116-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1377660.10fu
title: SH1377660.10FU

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/sh1377662.10fu
title: SH1377662.10FU

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/sh1377675.10fu
title: SH1377675.10FU

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/sh1377678.10fu
title: SH1377678.10FU

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/sh1377680.10fu
title: SH1377680.10FU

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/sh1377682.10fu
title: SH1377682.10FU

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/sh1377687.10fu
title: SH1377687.10FU

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/sh1377698.10fu
title: SH1377698.10FU

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/sh1377702.10fu
title: SH1377702.10FU

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/sh1377707.10fu
title: SH1377707.10FU

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.322k8n
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-35.16277 21.74421,1.16277 21.74421,1.16277 36.25579,-35.16277 36.25579,-35.16277 21.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lactuca palmensis",
 "Year 1000-2022"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005705-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eg9rv
title: Occurrence Download

description: A dataset containing 2019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juniperus rigida"
 ]
}

 The dataset includes 2019 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014399-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsgzbm
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lolium temulentum",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014400-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hy333
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lantana camara",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 263 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014401-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh4mpt
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((107.16977 2.53248,191.43215 2.53248,191.43215 87.48553,107.16977 87.48553,107.16977 2.53248))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mesoplodon ginkgodens"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014398-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28828769.v3
title: <b>Urban sports fields as an emerging evolutionary trap for polarotactic dragonflies</b>

description: We surveyed outdoor sports fields in Haikou City, Hainan Province, south China, from September to December 2024. For each field, we recorded its geographic coordinates and the composition of its surface colors. We observed whether dragonflies were laying eggs on the field surfaces, either with eyes or using binoculars. When egg-laying behavior was observed, we recorded the number of dragonflies ovipositing on each surface color. From a human visual perspective, the surface colors of the fields were easily distinguishable. We broadly classified them into four categories: red (R), green (G), blue (B), and yellow (Y). If a particular color was present at a site and used for oviposition, it was recorded as 1; if the color was present but not used, it was recorded as 0. Finally, we investigated the number of dragonflies that spawned at 37 sites (Table S1), along with the presence or absence of the four surface colors and whether they were used for oviposition (Table S2).To quantify the visual effect of the pitch surface from both human and dragonfly perspectives, we measured the reflectance spectrum of different colors using a spectrometer (AvaSpec-ULS2048, Beijing, China). We selected five of the twelve sites where dragonfly spawning was observed to measure the reflectance spectrum of different surface colors. These five sites included all four color types and were representative of two or more colors at each site. Reflectance spectra were measured following a standardized procedure (Yang et al. 2010). Each color was measured six times at each site.By investigating the attractiveness of different colored parts of the field to dragonflies, we found that dragonflies preferred to lay eggs on green and blue areas and rarely did so on red areas. Reflectance spectrum analysis showed that red was most distinct from the other colors, while green, blue, and yellow were less distinguishable or even indistinguishable, suggesting spawning preferences by dragonflies may stem from similarities between these colors and natural water features. Although sports fields create an evolutionary trap through polarized light as perceived by dragonflies, our study demonstrates that color vision could also provide a potential means of escape. By optimizing the color design of sports fields, the deceptive effects of polarized light can be mitigated, thereby contributing to the conservation of insect biodiversity within urban ecosystems.
DOI: 10.15468/dl.gqa8pd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lolium temulentum",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014402-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tavg33
title: Occurrence Download

description: A dataset containing 33637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thuja plicata, Thuja plicata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33637 records from 379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014403-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29gcwn
title: Occurrence Download

description: A dataset containing 76998 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turritis glabra"
 ]
}

 The dataset includes 76998 records from 980 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014301-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nrhy6
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Eurycea chamberlaini)"
 ]
}

 The dataset includes 412 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014404-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.