cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2767042.08fu
title: SH2767042.08FU

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/sh2767043.08fu
title: SH2767043.08FU

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/sh499789.07fu
title: SH499789.07FU

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/sh499790.07fu
title: SH499790.07FU

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/sh2767044.08fu
title: SH2767044.08FU

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/sh2767045.08fu
title: SH2767045.08FU

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/sh2767046.08fu
title: SH2767046.08FU

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/sh499791.07fu
title: SH499791.07FU

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/sh499792.07fu
title: SH499792.07FU

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/sh499793.07fu
title: SH499793.07FU

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.mguerj
title: Occurrence Download

description: A dataset containing 5332 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria hoffmannseggiana (Willd. ex Schult.) Müll.Arg."
 ]
}

 The dataset includes 5332 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000257-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lrmvtu
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON ((158.55468749999997 -36.597889133070204, 151.5234375 -27.059125784374054, 137.109375 -27.68352808378776, 131.1328125 -36.87962060502676, 132.890625 -46.31658418182218, 144.4921875 -50.06419173665909, 153.6328125 -46.07323062540835, 158.55468749999997 -36.597889133070204))",
 "HasCoordinate is true",
 "TaxonKey is Lagarostrobos",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 189 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002570-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s75n7n
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus sedaensis Y.C.Ho"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036614-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lvtabb
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.50078 -5.42105,-49.36035 -5.42105,-49.36035 21.44901,-116.50078 21.44901,-116.50078 -5.42105))",
 "HasCoordinate is true",
 "TaxonKey is Cabassous centralis (Miller, 1899)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036471-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6znh6
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euroschinus elegans Engl."
 ]
}

 The dataset includes 66 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048210-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.itxfgw
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhionaeschna diffinis (Rambur, 1842)"
 ]
}

 The dataset includes 165 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002571-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzn6j2
title: Occurrence Download

description: A dataset containing 1144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 1144 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046716-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2hfws
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus deserticola Trel.",
 "Country is Mexico"
 ]
}

 The dataset includes 200 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002571-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt2mwj
title: Occurrence Download

description: A dataset containing 166059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Molossidae"
 ]
}

 The dataset includes 166059 records from 448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059383-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2j5euu
title: Occurrence Download

description: A dataset containing 4281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium bonariense L."
 ]
}

 The dataset includes 4281 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048240-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej7p4m
title: Occurrence Download

description: A dataset containing 40056 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium campestre (L.) W.T.Aiton"
 ]
}

 The dataset includes 40056 records from 1007 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048247-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5523/bris.r9y4n2gewtzw2acnzyynjbky9
title: Royal Soc Open Science Titelboim
title: Titelboim et al 2024

description: The data is stored in two folders one containing the CT scans and one the FEA models.
DOI: 10.6084/m9.figshare.16614380.v1
title: Additional file 8 of Whole-genome sequence-informed MALDI-TOF MS diagnostics reveal importance of Klebsiella oxytoca group in invasive infections: a retrospective clinical study

description: Additional file 8: Table S6. Binary table of the protein marker masses which can reproducibly be detected in MALDI-TOF MS spectra.
DOI: 10.6084/m9.figshare.16614374
title: Additional file 7 of Whole-genome sequence-informed MALDI-TOF MS diagnostics reveal importance of Klebsiella oxytoca group in invasive infections: a retrospective clinical study

description: Additional file 7: Table S5. Binary table displaying the predicted ribosomal subunits mass variants and whether this variant was predicted from an assembly or not.
DOI: 10.6084/m9.figshare.21332885.v1
title: Additional file 1 of CTpathway: a CrossTalk-based pathway enrichment analysis method for cancer research

description: Additional file 1: Table S1. Information of protein-protein (PPI) included in this study. Table S2. Summary of data sets analyzed in this study. Table S3. Summary of 12 gold standard data sets. Table S4. The degree of genes in the GPCM. Table S5. List of CGC genes of four cancer types. Table S6. GSEA enrichment results of RS or |log2FC| for CGC genes. Tables S7-S14. Significant (FDR &lt; 0.01) pathways identified by CTpathway for GEO COAD, TCGA COAD, GEO LIHC, TCGA LIHC, GEO LUAD, TCGA LUAD, GEO OV, TCGA OV. Tables S15-S18. Comparative results show significant KEGG pathways identified by CTpathway with other methods from GEO LUAD, TCGA LUAD, GEO OV, TCGA OV data. Table S19. Significant (FDR &lt; 0.01) KEGG pathways for GEO OV data only identified by CTpathway. Table S20. EMT genes in the top 100 of RS rank list.
DOI: 10.25502/66x7-pr20/d
title: Household Baseline Survey - Identifying opportunities/challenges to climate change adaptation for farmers in Zambia

description: Climate change is threatening Zambian crops and livestock systems, impacting agriculture businesses and undermining livelihoods. It is increasingly urgent for Zambian farmers and livestock keepers to be able to anticipate climate-related events and take appropriate preventative actions. AICCRA Zambia is working with local and national partners to scale actionable climate information, de-risk investments into agribusinesses and boost the knowledge and use of climate-smart agriculture technologies which promote gender and social inclusion.
DOI: 10.5281/zenodo.10581734
title: Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition with Increasing Inland Water Residence Time

description: Datasets that supports the manuscript "Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition with Increasing Inland Water Residence Time" accepted in Global Biogeochemical Cycles. Open the txt file Readme for more information.
DOI: 10.5281/zenodo.10581735
title: Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition with Increasing Inland Water Residence Time

description: Datasets that supports the manuscript "Decreasing Photoreactivity and Concurrent Change in Dissolved Organic Matter Composition with Increasing Inland Water Residence Time". Open the txt file Readme for more information.
DOI: 10.6084/m9.figshare.24999932
title: dry weight.xlsx

description: Background:In recent years, atmospheric UV-B radiation and nitrogen deposition caused by human activities have become increasingly serious, seriously affecting the productivity and biodiversity of terrestrial ecosystems. At present, there is a lack of attention on the impact of UV-B radiation enhancement and nitrogen deposition on the decomposition of fir litter, which limits people's understanding of the mechanism of fir litter decomposition in the context of global change. (2) Methods:Taking the fir plantation litter as the research object, by setting up different UV-B radiation enhancement and nitrogen deposition experimental treatments, a one-year positional study was conducted on the impact of the combined effect of UV-B enhancement and nitrogen deposition on the decomposition process of fir litter.(3) Results:Nitrogen deposition, UV-B radiation enhancement, and the combined effects of UV-B radiation enhancement and nitrogen deposition will shorten the litter decomposition cycle.(4) Conclusions: UV-B enhancement increases the photodegradation effect of UV-B on litter lignin and increases the population diversity and abundance of bacteria to promote litter decomposition. N deposition increases the diversity and richness of fungal communities, accelerates the release of nutrient elements, and accelerates the litter decomposition process.
DOI: 10.6084/m9.figshare.24999932.v1
title: dry weight.xlsx

description: Background:In recent years, atmospheric UV-B radiation and nitrogen deposition caused by human activities have become increasingly serious, seriously affecting the productivity and biodiversity of terrestrial ecosystems. At present, there is a lack of attention on the impact of UV-B radiation enhancement and nitrogen deposition on the decomposition of fir litter, which limits people's understanding of the mechanism of fir litter decomposition in the context of global change. (2) Methods:Taking the fir plantation litter as the research object, by setting up different UV-B radiation enhancement and nitrogen deposition experimental treatments, a one-year positional study was conducted on the impact of the combined effect of UV-B enhancement and nitrogen deposition on the decomposition process of fir litter.(3) Results:Nitrogen deposition, UV-B radiation enhancement, and the combined effects of UV-B radiation enhancement and nitrogen deposition will shorten the litter decomposition cycle.(4) Conclusions: UV-B enhancement increases the photodegradation effect of UV-B on litter lignin and increases the population diversity and abundance of bacteria to promote litter decomposition. N deposition increases the diversity and richness of fungal communities, accelerates the release of nutrient elements, and accelerates the litter decomposition process.