cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uoo0ok
title: Occurrence Download

description: A dataset containing 150097 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme BioObs: observations naturalistes en milieux aquatiques-Observations de BioObs."
 ]
}

 The dataset includes 150097 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022524-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwj2k8
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus angustifolia Marshall",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 307 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166568-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cylrn
title: Occurrence Download

description: A dataset containing 69809291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emberizidae"
 ]
}

 The dataset includes 69809291 records from 1387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022524-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17467904
title: Heritage Tourism as a Catalyst for Rural Economic Revitalization in the United States

description: Heritage tourism is becoming an important way for rural communities in the United States to strengthen their economies while keeping their culture alive. By turning history, traditions, and local stories into visitor experiences, towns can create jobs, support small businesses, and build community pride. This paper looks at how heritage tourism works as both a cultural and economic tool, using three examples: the Appalachian towns of western North Carolina, the Bakersville Creek Walk, and the Mississippi Blues Trail. These case studies show how communities can use storytelling, preservation, and shared spaces to attract visitors and investment. The research uses a qualitative case study approach, drawing on existing studies and real-life projects, to explain what has worked well and what challenges remain. The findings shows that heritage tourism is most successful when local people are directly involved, when the cultural experience feels authentic, and when investments also improve life for residents. Overall, the study shows that heritage tourism is not just about protecting the past. It is also about shaping the future, giving rural communities a way to grow stronger while staying true to who they are.
DOI: 10.5281/zenodo.17467903
title: Heritage Tourism as a Catalyst for Rural Economic Revitalization in the United States

description: Heritage tourism is becoming an important way for rural communities in the United States to strengthen their economies while keeping their culture alive. By turning history, traditions, and local stories into visitor experiences, towns can create jobs, support small businesses, and build community pride. This paper looks at how heritage tourism works as both a cultural and economic tool, using three examples: the Appalachian towns of western North Carolina, the Bakersville Creek Walk, and the Mississippi Blues Trail. These case studies show how communities can use storytelling, preservation, and shared spaces to attract visitors and investment. The research uses a qualitative case study approach, drawing on existing studies and real-life projects, to explain what has worked well and what challenges remain. The findings shows that heritage tourism is most successful when local people are directly involved, when the cultural experience feels authentic, and when investments also improve life for residents. Overall, the study shows that heritage tourism is not just about protecting the past. It is also about shaping the future, giving rural communities a way to grow stronger while staying true to who they are.
DOI: 10.15156/bio/sh1172348.10fu
title: SH1172348.10FU

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/sh1172356.10fu
title: SH1172356.10FU

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/sh1172358.10fu
title: SH1172358.10FU

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/sh1172359.10fu
title: SH1172359.10FU

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/sh1172360.10fu
title: SH1172360.10FU

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/sh1172366.10fu
title: SH1172366.10FU

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/sh1172367.10fu
title: SH1172367.10FU

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/sh1172368.10fu
title: SH1172368.10FU

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/sh1172370.10fu
title: SH1172370.10FU

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: 10.25345/c5w37m758
title: MassIVE MSV000097577 - De novo pyrimidine biosynthesis inhibition synergizes with BCL-XL targeting in pancreatic cancer
title: Oncogenic KRAS induces metabolic rewiring in pancreatic adenocarcinoma (PDAC) characterized, in part, by dependency on de novo pyrimidine biosynthesis. Pharmacologic inhibition of dihydroorotate dehydrogenase (DHODH), an enzyme in the de novo pyrimidine synthesis pathway, delays pancreatic tumor growth; however, limited monotherapy efficacy suggests that compensatory pathways may drive resistance. Here, we use an integrated metabolomic, proteomic and in vitro and in vivo DHODH inhibitor-anchored genetic screening approach to identify compensatory pathways to DHODH inhibition (DHODHi) and targets for combination therapy strategies. We demonstrate that DHODHi alters the apoptotic regulatory proteome thereby enhancing sensitivity to inhibitors of the anti-apoptotic BCL2L1 (BCL-XL) protein. Co-targeting DHODH and BCL-XL synergistically induces apoptosis in PDAC cells and patient-derived organoids. The combination of DHODH inhibition with Brequinar and BCL-XL degradation by DT2216, a proteolysis targeting chimera (PROTAC), significantly inhibits PDAC tumor growth. These data define mechanisms of adaptation to DHODHi and support combination therapy targeting BCL-XL in PDAC.
DOI: 10.15468/dl.9aj2hy
title: Occurrence Download

description: A dataset containing 10270102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 10270102 records from 847 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004250-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15094101
title: 5D-NP-MATER_ZNOCMP - open dataset for "ZnO vapor phase infiltration into photo-patternable polyacrylate networks for the microfabrication of hybrid organic–inorganic structures"

description: This is the open dataset for the paper "ZnO vapor phase infiltration into photo-patternable polyacrylate networks for the microfabrication of hybrid organic–inorganic structures”. This includes supplementary information.
DOI: 10.5281/zenodo.15094102
title: 5D-NP-MATER_ZNOCMP - open dataset for "ZnO vapor phase infiltration into photo-patternable polyacrylate networks for the microfabrication of hybrid organic–inorganic structures"

description: This is the open dataset for the paper "ZnO vapor phase infiltration into photo-patternable polyacrylate networks for the microfabrication of hybrid organic–inorganic structures”. This includes supplementary information.
DOI: 10.15468/dl.dm6v8f
title: Occurrence Download

description: A dataset containing 10220280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2025"
 ]
}

 The dataset includes 10220280 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004254-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sm445
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tanacetum camphoratum Less."
 ]
}

 The dataset includes 102 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004271-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewrcng
title: Occurrence Download

description: A dataset containing 3560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polioptila lembeyei (Gundlach, 1858)"
 ]
}

 The dataset includes 3560 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004272-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29u757
title: Occurrence Download

description: A dataset containing 736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Allobates insperatus (Morales, 2002)"
 ]
}

 The dataset includes 736 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004273-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.beq9d2
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salmo letnica (Karaman, 1924)"
 ]
}

 The dataset includes 324 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004274-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17044/scilifelab.28380476
title: Coordinates of microbial contamination in eukaryotic reference genomes

description: This dataset contains coordinates of microbial contamination in eukaryotic chromosome-level reference genomes of 96 plant, 114 invertebrate and 162 non-mammalian vertebrate species, 566 chromosome- and scaffold-level mammalian reference assemblies from the National Center for Biotechnology Information Reference Sequence Database (NCBI RefSeq), https://ftp.ncbi.nlm.nih.gov/refseq/release/, and a custom arthropod dataset comprising 2088 reference genomes, and 1323 nordic plant contig-level assemblies from the PhyloNorway project, DataverseNO V1, https://dataverse.no/dataset.xhtml;jsessionid=dfe334bbadc5fb9c5eab4332d568?persistentId=doi:10.18710/3CVQAG&version=DRAFT.Each group of organisms has two coordinate (bed-) files: simple and comprehensive, the "full"-version corresponds to the comprehensive bed-file with microbial annotation for each region of microbial contamination.The dataset was produced by Nikolay Oskolkov, Lund University, Sweden, within the NBIS SciLifeLab long-term support project, PI Tom van der Valk, Centre for Palaeogenetics, Stockholm, Sweden.If you use the dataset for your research, please cite our manuscript:<i>Nikolay Oskolkov, Chenyu Jin, Samantha López Clinton, Flore Wijnands, Ernst Johnson, Benjamin Guinet, Verena Kutschera, Cormac Kinsella, Peter D. Heintzman and Tom van der Valk, Disinfecting eukaryotic reference genomes to improve taxonomic inference from environmental ancient metagenomic data, https://www.biorxiv.org/content/10.1101/2025.03.19.644176v1, https://doi.org/10.1101/2025.03.19.644176</i>Questions regarding the dataset should be sent to nikolay.oskolkov@scilifelab.se
DOI: 10.17044/scilifelab.28380476.v2
title: Coordinates of microbial contamination in eukaryotic reference genomes

description: This dataset contains coordinates of microbial contamination in eukaryotic chromosome-level reference genomes of 96 plant, 114 invertebrate and 162 non-mammalian vertebrate species, 566 chromosome- and scaffold-level mammalian reference assemblies from the National Center for Biotechnology Information Reference Sequence Database (NCBI RefSeq), https://ftp.ncbi.nlm.nih.gov/refseq/release/, and a custom arthropod dataset comprising 2088 reference genomes, and 1323 nordic plant contig-level assemblies from the PhyloNorway project, DataverseNO V1, https://dataverse.no/dataset.xhtml;jsessionid=dfe334bbadc5fb9c5eab4332d568?persistentId=doi:10.18710/3CVQAG&version=DRAFT.Each group of organisms has two coordinate (bed-) files: simple and comprehensive, the "full"-version corresponds to the comprehensive bed-file with microbial annotation for each region of microbial contamination.The dataset was produced by Nikolay Oskolkov, Lund University, Sweden, within the NBIS SciLifeLab long-term support project, PI Tom van der Valk, Centre for Palaeogenetics, Stockholm, Sweden.If you use the dataset for your research, please cite our manuscript:<i>Nikolay Oskolkov, Chenyu Jin, Samantha López Clinton, Flore Wijnands, Ernst Johnson, Benjamin Guinet, Verena Kutschera, Cormac Kinsella, Peter D. Heintzman and Tom van der Valk, Disinfecting eukaryotic reference genomes to improve taxonomic inference from environmental ancient metagenomic data, https://www.biorxiv.org/content/10.1101/2025.03.19.644176v1, https://doi.org/10.1101/2025.03.19.644176</i>Questions regarding the dataset should be sent to nikolay.oskolkov@scilifelab.se