cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/etp-h99-sla
title: Silene muscipula L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eke-gxt-rn6
title: Silene auriculata Sibth. & Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qlh-aaf-wnj
title: Arenaria gracilis Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ke4-a23-q3n
title: Silene cretica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/svs-0m5-2t1
title: Silene gallica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/1zm-y8r-0p6
title: Triticum monococcum subsp. aegilopoides (Link) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.drjmp6
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset - Monitoring marine mammals around Réunion Island (southwest Indian Ocean) using environmental DNA (eDNA)"
 ]
}

 The dataset includes 100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112987-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dw0-etw-b0f
title: Pseudopodospermum molle (M. Bieb.) Kuth.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hyf-j0b-n8e
title: Stellaria graminea L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/g96-rmw-ff0
title: Triticum turgidum subsp. dicoccum (Schrank ex Schübl.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l4x-t6f-gv3
title: Stellaria alsine Grimm

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/37f-hxp-jbr
title: Dracaena congoensis Hua

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kbf-4c7-46g
title: Pseudopodospermum idaeum (Gand.) Zaika, Sukhor. & N. Kilian

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d8q-54q-2qz
title: Dracaena glomerata Baker

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k71-3p3-ss4
title: Moehringia ciliata (Scop.) Dalla Torre

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bg1-xts-7g3
title: Moehringia ciliata (Scop.) Dalla Torre

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jvw-96e-qm2
title: Stellaria crassifolia Ehrh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/z1k-n4k-cv8
title: Stellaria alsine Grimm

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.zcwvxh
title: Occurrence Download

description: A dataset containing 6525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Axonopus fissifolius"
 ]
}

 The dataset includes 6525 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008083-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpywzp
title: Occurrence Download

description: A dataset containing 3003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplospora dubia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 3003 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008084-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzm8j8
title: Occurrence Download

description: A dataset containing 132534895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidoptera",
 "HasCoordinate is true",
 "Geometry POLYGON((-20.000000 -37.000000, 60.000000 -37.000000, 60.000000 70.000000, -20.000000 70.000000, -20.000000 -37.000000))"
 ]
}

 The dataset includes 132534895 records from 9457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007844-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs6wun
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viburnum furcatum Blume ex Hook.fil. & Thomson",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 487 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006862-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fe8dxa
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lindera glauca (Siebold & Zucc.) Blume"
 ]
}

 The dataset includes 867 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004259-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15296576
title: Sex-Specific Control and Incomplete Matings in Sperm Removal Behaviour of Metaplastes ornatus
DOI: 10.5281/zenodo.15301776
title: Sex-Specific Control and Incomplete Matings: Sperm Removal Behaviour in a Bushcricket Species
DOI: 10.5281/zenodo.15296575
title: Sex-Specific Control and Incomplete Matings: Sperm Removal Behaviour in a Bushcricket Species
DOI: 10.5281/zenodo.15301867
title: Sex-Specific Control and Incomplete Matings: Sperm Removal Behaviour in a Bushcricket Species
DOI: 10.57703/ce-gfvgd
title: Q78 processed data

description: Atomic Force Microscopy (AFM) topographic images of sample Q78 (processed data). A Flatten filter was applied (subtracting an offset, linear or parabolic function to each horizontal line of the image) to remove irregular distributed low frequency noise.
DOI: 10.5281/zenodo.15301916
title: raw data - Exact Time For Post-Void Residual Urine Volume Measurement in The Examination Of Benign Prostate Hyperplasia
DOI: 10.5281/zenodo.15301917
title: raw data - Exact Time For Post-Void Residual Urine Volume Measurement in The Examination Of Benign Prostate Hyperplasia
DOI: 10.15468/dl.ey6mv2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DistanceFromCentroidInMeters 0.0-5000.0",
 "TaxonKey is Chazara prieuri (Pierret, 1837)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004265-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdpfxf
title: Occurrence Download

description: A dataset containing 15298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15298 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004260-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwnbub
title: Occurrence Download

description: A dataset containing 298537 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zygophyllaceae"
 ]
}

 The dataset includes 298537 records from 1273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004261-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tawu8a
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates okaloosae (Moler, 1985))"
 ]
}

 The dataset includes 60 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004266-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64hf44
title: Occurrence Download

description: A dataset containing 3789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Grus monacha Temminck, 1835"
 ]
}

 The dataset includes 3789 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004248-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00008336.1
title: Available datapackage for study 'Phase 3, Multicenter, Randomized, Double-blind, Placebo and Active Comparator-controlled Study Evaluating the Efficacy and Safety of Guselkumab in the Treatment of Subjects With Moderate to Severe Plaque-type Psoriasis'

description: The purpose of this study is to evaluate the efficacy, safety, and tolerability of guselkumab (CNTO 1959) in the treatment of participants with moderate to severe plaque-type psoriasis.
DOI: 10.25919/0n2w-qm08
title: Parkes observations for project P1356 semester 2025APRS_02

description: Magnetars are neutron stars with exceptionally high magnetic fields. From the 30 known magnetars, only six have had radio emission detected so far. The remaining 24 magnetars are generally only searched for radio emission after an X-ray outburst. This added a strong selection bias to whether magnetars are radio loud or not. From the known six radio loud magnetars, we know that the radio emission changes quickly with time and for the magnetar XTE J1810-197, it has been observed that the radio flux increases strongly without an enhancement in X-ray flux. Thus, it remains unclear whether the radio quiet magnetars are in fact radio quiet and the radio X-ray relation appears to be rather complex.
 In this proposal, we propose a regular monitoring campaign of 4 radio quiet magnetars with bi-weekly observations using the Parkes UWL receiver. For 3 of the sources, we will have accompanying X-ray observations and thus, this will give an unique data set to probe the relation between radio and X-ray independent outbursts. Any detection of radio emission, i.e. single pulses or folded profiles, would be a major discovery and help to constrain the emission mechanisms of magnetars. This will also help to improve the understanding of the emission mechanism of fast radio bursts. However, also a non-detection of radio emission will provide upper limits that serve as a baseline before any future outburst of the observed magnetars as well as allow to constrain the formation process of magnetars in contrast to pulsars.
DOI: 10.25919/5q8s-ht12
title: Long-term project observations for project P456 semester 2025APRS_01

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We, along with the international community, are now working hard to either confirm or deny this result, and to determine the astrophysical origin of this signal. With this proposal, we aim to maintain our pre-eminent position in the field. This is a continuing proposal for which observations of millisecond pulsars (MSPs) will continue to improve bounds on ultra-low-frequency gravitational waves until they are detected with confidence. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected, continued observations will resolve the background origin and individual sources will be identified; advancing the nascent field of gravitational wave astronomy.
DOI: 10.15468/dl.phkgv3
title: Occurrence Download

description: A dataset containing 17831 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bupleurum rotundifolium L."
 ]
}

 The dataset includes 17831 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004264-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0172720.10fu
title: SH0172720.10FU

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: 10.71802/o9gvyj8r
title: NILDE 2025 GENOVA

description: 20251002 ITALIA, XII Convegno NILDE 2025 Genova 2-3 ottobre 2025, https://convegnonilde2025.unige.it/ilconvegno, Presentation: RSCVD, an international Document Delivery Initiative, Speaker: Carmen Lomba
DOI: 10.15156/bio/sh0172721.10fu
title: SH0172721.10FU

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/sh0172722.10fu
title: SH0172722.10FU

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/sh0172723.10fu
title: SH0172723.10FU

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/sh0172724.10fu
title: SH0172724.10FU

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/sh0172725.10fu
title: SH0172725.10FU

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.18198777
title: Final data analisis of payleter use on data privacy
DOI: 10.15156/bio/sh0172726.10fu
title: SH0172726.10FU

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.18198776
title: Final data analisis of payleter use on data privacy
DOI: 10.15156/bio/sh0172727.10fu
title: SH0172727.10FU

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.