cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/pcra-c14-180325
title: Blahovisnyk = Evangelist, 2001, no. 3 (2001 July-September), whole no. 33

description: [description english/roman)] Blahovisnyk, 2001, no. 3 (2001 lypenʹ-veresenʹ), obshchiy no. 33 = Evangelist, 2001, no. 3 (2001 July-September), whole no. 33.
DOI: 10.15468/dl.3mccjm
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia bromelioides Cuatrec."
 ]
}

 The dataset includes 58 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002594-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1183
title: Maiak = [Lighthouse], vol. 13, no. 9 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.sxnewc
title: Occurrence Download

description: A dataset containing 26227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dicaeum trigonostigma (Scopoli, 1786))",
 "BasisOfRecord is one of (Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 26227 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002251-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-1179
title: Maiak = [Lighthouse], vol. 13, no. 9 (1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.f4f8tq
title: Occurrence Download

description: A dataset containing 2692 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Abarema jupunba (Willd.) Britton & Killip, Abarema jupunba var. jupunba, 2977859, Abarema jupunba var. jupunba)"
 ]
}

 The dataset includes 2692 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002600-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9sgk4
title: Occurrence Download

description: A dataset containing 204283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.79819 22.74582,105.13641 20.57271,105.41019 17.62105,108.69143 15.14033,111.2023 17.44138,111.67285 20.88927,108.79819 22.74582))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 204283 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000643-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pykd7
title: Occurrence Download

description: A dataset containing 1697113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2010",
 "Month is April"
 ]
}

 The dataset includes 1697113 records from 441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000669-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bfuqt
title: Occurrence Download

description: A dataset containing 6783 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hebomoia glaucippe (Linnaeus, 1758)"
 ]
}

 The dataset includes 6783 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000689-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5eusy
title: Occurrence Download

description: A dataset containing 31383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2020-2025"
 ]
}

 The dataset includes 31383 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000687-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2a7cn
title: Occurrence Download

description: A dataset containing 990 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus densata Mast."
 ]
}

 The dataset includes 990 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000690-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhjkam
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Podocarpus subtropicalis de Laub."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000691-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j396ss
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.5.12.4_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 280 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000692-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48y8ah
title: Occurrence Download

description: A dataset containing 264547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Erithacus rubecula (Linnaeus, 1758)",
 "Year 2024-2025"
 ]
}

 The dataset includes 264547 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000622-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhn6bn
title: Occurrence Download

description: A dataset containing 2591022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2591022 records from 977 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000600-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/rgk-qb7-flp
title: Viola L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/z9a-cz8-7fy
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ty-7x8-xe6
title: Elatine alsinastrum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/asc-pp3-kqc
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gxv-ndg-yky
title: Viola L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018814.10fu
title: SH0018814.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/jwa-3tk-zw6
title: Viola L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yx2-w3q-wpd
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18151950
title: Trajectory files for "Structural mechanism of TRPC3 inhibition by a potent and selective antagonist" by Collingridge et al.

description: Contains trajectory datasets for simulations described in the manuscript "Structural mechanism of TRPC3 inhibition by a potent and selective antagonist" by Collingridge et al (2026).
DOI: 10.15156/bio/sh0018815.10fu
title: SH0018815.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/5ag-fb3-5g1
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18151949
title: Trajectory files for "Structural mechanism of TRPC3 inhibition by a potent and selective antagonist" by Collingridge et al.

description: Contains trajectory datasets for simulations described in the manuscript "Structural mechanism of TRPC3 inhibition by a potent and selective antagonist" by Collingridge et al (2026).
DOI: 10.15156/bio/sh0018816.10fu
title: SH0018816.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/7g9-e3z-mrt
title: Helianthemum nummularium (L.) Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/r9f-4qs-z6e
title: Elatine alsinastrum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018817.10fu
title: SH0018817.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/hzm-a4h-gep
title: Elatine alsinastrum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rwl-28w-8sv
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/wtx-s4j-t6m
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018818.10fu
title: SH0018818.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/813-fpm-rxe
title: Potentilla sommerfeltii Lehm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xbm-ctd-2dz
title: Potentilla sommerfeltii Lehm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18153909
title: Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types

description: Background:

Deconvolution of bulk RNA-expression data unlocks the cellular complexity of cancer, yet traditional pseudobulk benchmarks may not always be reliable in real-world settings where absolute cell proportions are unknown.

Results:

Here, we introduce a novel real-data framework, leveraging 18 real bulk RNA-expression cohorts (5,891 samples) across nine cancer types to evaluate five deconvolution methods based on differentially proportioned (DP) and prognosis-related (PR) cell types. Across three innovative benchmark scenarios—consistency with scRNA-seq, reproducibility across cohorts, and reproducibility of prognostic relevance—ReCIDE and BayesPrism stand out as two robust deconvolution methods. Application of a pan-cancer analysis based on the deconvolution of TCGA cohorts identifies matrix cancer-associated fibroblasts (mCAF) as a prognostic marker with consistent effects across multiple cancers. Building on this finding, we find a prognostic indicator combining classical monocytes and mCAF cell proportions to be significant in five TCGA cohorts, which we further validate in five independent GEO cohorts.

Conclusions:

This study broadens deconvolution benchmarking, offering actionable tools for precision oncology and guiding method selection for translational research.
DOI: 10.3535/gtm-k64-9tw
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yha-s0e-536
title: Rubus nessensis Hall

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17769962
title: Evaluating deconvolution methods using real bulk RNA-expression data for robust prognostic insights across cancer types

description: Background:

Deconvolution of bulk RNA-expression data unlocks the cellular complexity of cancer, yet traditional pseudobulk benchmarks may not always be reliable in real-world settings where absolute cell proportions are unknown.

Results:

Here, we introduce a novel real-data framework, leveraging 18 real bulk RNA-expression cohorts (5,891 samples) across nine cancer types to evaluate five deconvolution methods based on differentially proportioned (DP) and prognosis-related (PR) cell types. Across three innovative benchmark scenarios—consistency with scRNA-seq, reproducibility across cohorts, and reproducibility of prognostic relevance—ReCIDE and BayesPrism stand out as two robust deconvolution methods. Application of a pan-cancer analysis based on the deconvolution of TCGA cohorts identifies matrix cancer-associated fibroblasts (mCAF) as a prognostic marker with consistent effects across multiple cancers. Building on this finding, we find a prognostic indicator combining classical monocytes and mCAF cell proportions to be significant in five TCGA cohorts, which we further validate in five independent GEO cohorts.

Conclusions:

This study broadens deconvolution benchmarking, offering actionable tools for precision oncology and guiding method selection for translational research.
DOI: 10.15156/bio/sh0018819.10fu
title: SH0018819.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/2sy-1wr-2w3
title: Helianthemum nummularium (L.) Mill.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/l6q-h50-e6m
title: Epilobium montanum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018820.10fu
title: SH0018820.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/r93-199-1jw
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/6e0-8x4-8k3
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/w2j-vyq-tcf
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0018821.10fu
title: SH0018821.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/dve-lc0-vp5
title: Epilobium collinum C. C. Gmel.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jmn-ryq-wn8
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.