cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/4c2-scx-3cq
title: Solanum vespertilio Aiton

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cew-ndx-vqr
title: Trichopteryx stolziana Henrard

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/g3d-gld-c09
title: Solanum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/39f-kds-6ms
title: Trichopteryx fruticulosa Chiov.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mqj-51r-wzt
title: Solanum tectum Pers.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xty-x8s-zma
title: Trichopteryx fruticulosa Chiov.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w6q-t4w-fv8
title: Trichopteryx elegantula (Hook.f.) Stapf

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xmy-3xg-xt1
title: Solanum umbellatum Willd. ex Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mgx-5b5-0pd
title: Trichopteryx dregeana Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w96-nvj-nql
title: Solanum elaeagnifolium Cav.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9f1-g93-w2b
title: Solanum villosum Mill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fn7-3rf-fmd
title: Solanum pittosporifolium Hemsl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9ab-74f-rkn
title: Solanum pseudocapsicum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rt2-cr3-fg8
title: Solanum lanceolatum Cav.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/c01-hv8-kwl
title: Solanum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0yj-gj7-67j
title: Solanum crotonifolium Humb. & Bonpl. ex Dunal

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mmr-86q-74y
title: Solanum rufescens Sendtn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jfq-7m7-4w1
title: Melinis scabrida (K.Schum.) Hack.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jgt-snx-rwx
title: Trichoneura schlechteri Ekman

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4sf-vyt-l71
title: Melinis maroccana (Maire & Sam.) M.B.Crespo, M.Á.Alonso & Mart.-Azorín

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kk6-85t-r4e
title: Melinis longiseta (A.Rich.) Zizka

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hcl-hh9-z0c
title: Melinis longiseta (A.Rich.) Zizka

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/htf-fds-qt4
title: Tricholaena capensis subsp. arenaria (Nees) Zizka

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7wn-6zw-hj3
title: Sporobolus cordofanus (Hochst. ex Steud.) Hérincq ex Coss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/59r-zrf-hz6
title: Sporobolus cordofanus (Hochst. ex Steud.) Hérincq ex Coss.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6wg-r05-seg
title: Solanum marginatum L. fil.

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

description: A dataset containing 929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-127.98197 -60.07716,9.98197 -60.07716,9.98197 -4.92284,-127.98197 -4.92284,-127.98197 -60.07716))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scutia buxifolia Reissek"
 ]
}

 The dataset includes 929 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106797-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/j6v-2f5-k8k
title: Sporobolus discosporus Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mj4-bvz-0fs
title: Sporobolus discosporus Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/63v-cxe-ezl
title: Lipotriche abyssinica (Sch. Bip. ex Hochst.) Orchard

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8bd-bn8-705
title: Solanum volubile Sw.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/whc-ez0-zt3
title: Solanum stellatum Ruiz & Pav.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.23641/asha.29218775
title: Frequency effects on screening accuracy (Poll et al., 2025)

description: <b>Purpose: </b>Sentence repetition (SR) is a promising task for identifying children at risk for developmental language disorder (DLD) but is unclear how to calibrate the task for adults. In verbal recall, the frequency of language structures affects adults with DLD differently from peers with typical language (TL), particularly near the limits of adults’ processing capacity. We hypothesized that repetition accuracy for sentences with less frequent structures, passives, would better distinguish adults at risk for DLD from their peers with TL than sentences with more frequent structures, actives.<b>Method: </b>Forty-two adults (18–29 years old), including 17 classified as at risk for DLD, completed an SR task composed of active and passive sentences matched for lexical frequency and sentence plausibility. Sentences varied in length (eight to 16 words) and number of clauses (one to two). Repetition accuracy for matched active and passive sentences was evaluated for classification accuracy to determine whether the areas under the curve (AUCs) differed by structure.<b>Results: </b>Averaging repetition accuracy across all sentence lengths, the AUC for passives did not differ from actives. For sentences with 11 words and two clauses, the AUC for passive structures was significantly higher than for active structures.<b>Conclusions: </b>Given sentences long enough to challenge the capacity of adults to reconstruct sentences for recall, structural frequency affects those at risk for DLD differently than those with TL. Manipulating the frequency of sentence structures is a promising approach to developing an SR task suited to screening adults.<b>Supplemental Material S1. </b>Data and statistical comparisons of lexical frequency, lexical age of acquisition, and sentence plausibility across sentence conditions.Poll, G. H., Brown, B., & Miller, C. A. (2025). Exploring the effect of sentence structure frequency on the accuracy of a screener for adults at risk of developmental language disorder. <i>Journal of Speech, Language, and Hearing Research,</i><i> </i><i>68</i>(7), 3348–3356. https://doi.org/10.1044/2025_JSLHR-24-00628
DOI: 10.23641/asha.29218775.v1
title: Frequency effects on screening accuracy (Poll et al., 2025)

description: <b>Purpose: </b>Sentence repetition (SR) is a promising task for identifying children at risk for developmental language disorder (DLD) but is unclear how to calibrate the task for adults. In verbal recall, the frequency of language structures affects adults with DLD differently from peers with typical language (TL), particularly near the limits of adults’ processing capacity. We hypothesized that repetition accuracy for sentences with less frequent structures, passives, would better distinguish adults at risk for DLD from their peers with TL than sentences with more frequent structures, actives.<b>Method: </b>Forty-two adults (18–29 years old), including 17 classified as at risk for DLD, completed an SR task composed of active and passive sentences matched for lexical frequency and sentence plausibility. Sentences varied in length (eight to 16 words) and number of clauses (one to two). Repetition accuracy for matched active and passive sentences was evaluated for classification accuracy to determine whether the areas under the curve (AUCs) differed by structure.<b>Results: </b>Averaging repetition accuracy across all sentence lengths, the AUC for passives did not differ from actives. For sentences with 11 words and two clauses, the AUC for passive structures was significantly higher than for active structures.<b>Conclusions: </b>Given sentences long enough to challenge the capacity of adults to reconstruct sentences for recall, structural frequency affects those at risk for DLD differently than those with TL. Manipulating the frequency of sentence structures is a promising approach to developing an SR task suited to screening adults.<b>Supplemental Material S1. </b>Data and statistical comparisons of lexical frequency, lexical age of acquisition, and sentence plausibility across sentence conditions.Poll, G. H., Brown, B., & Miller, C. A. (2025). Exploring the effect of sentence structure frequency on the accuracy of a screener for adults at risk of developmental language disorder. <i>Journal of Speech, Language, and Hearing Research,</i><i> </i><i>68</i>(7), 3348–3356. https://doi.org/10.1044/2025_JSLHR-24-00628
DOI: 10.3535/glt-qp5-7bq
title: Solanum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15156/bio/sh0154774.10fu
title: SH0154774.10FU

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/sh0154775.10fu
title: SH0154775.10FU

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/sh0154776.10fu
title: SH0154776.10FU

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/sh0154777.10fu
title: SH0154777.10FU

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/sh0154778.10fu
title: SH0154778.10FU

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/sh0154779.10fu
title: SH0154779.10FU

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/sh0154780.10fu
title: SH0154780.10FU

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.8ndjnm
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudognaphalium gaudichaudianum"
 ]
}

 The dataset includes 450 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000782-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckr9rx
title: Occurrence Download

description: A dataset containing 82419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polytrichum commune",
 "Year 1000-2022"
 ]
}

 The dataset includes 82419 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000762-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0154781.10fu
title: SH0154781.10FU

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/sh0154782.10fu
title: SH0154782.10FU

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/sh0154783.10fu
title: SH0154783.10FU

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.4t83vb
title: Occurrence Download

description: A dataset containing 524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platycapnos spicata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 524 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012975-260129131611470/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.31248439
title: Chain files

description: Chain files for CHM13 and HG38
DOI: 10.6084/m9.figshare.31248439.v1
title: Chain files

description: Chain files for CHM13 and HG38