cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0216780.10fu
title: SH0216780.10FU

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/sh0216781.10fu
title: SH0216781.10FU

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/sh0216782.10fu
title: SH0216782.10FU

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/sh0216783.10fu
title: SH0216783.10FU

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/sh0216784.10fu
title: SH0216784.10FU

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/sh0216785.10fu
title: SH0216785.10FU

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/sh0216786.10fu
title: SH0216786.10FU

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: 10.25582/data.2024-04.3090931/2557632
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090933/2557633
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090936/2557634
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090938/2557635
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090941/2557636
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090945/2557637
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3090946/2557638
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.62e6rr
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena eriophylla (Boiss. & Hausskn.) Španiel, Al-Shehbaz, D.A.German & Marhold"
 ]
}

 The dataset includes 44 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064048-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9j96b
title: Occurrence Download

description: A dataset containing 53939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Cameroon",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 53939 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157885-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scu6rg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artibeus lituratus koopmani Wilson, 1991"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000201-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyyar2
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontarrhena inflata (Nyár.) D.A.German"
 ]
}

 The dataset includes 124 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064066-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6kyxt
title: Occurrence Download

description: A dataset listing the 8950 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia",
 "Year 2010-2020"
 ]
}

 The dataset's 8950 records were derived from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122273-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xjjnv
title: Occurrence Download

description: A dataset containing 29892398 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-80.15625 -31.46484,-34.10156 -31.46484,-34.10156 10.37109,-80.15625 10.37109,-80.15625 -31.46484))"
 ]
}

 The dataset includes 29892398 records from 3376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000193-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9t8upu
title: Occurrence Download

description: A dataset containing 2989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora capsularis L."
 ]
}

 The dataset includes 2989 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004216-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.4m8x6x
title: Exploring the potential of Typha Populations for biorefineries: Opportunities in Peru

description: Records used in [paper](https://doi.org/10.1088/1742-6596/2869/1/012004) (dn)
DOI: 10.15468/dl.eu4t3w
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora rovirosae Killip"
 ]
}

 The dataset includes 243 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004218-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.444nkw
title: Occurrence Download

description: A dataset containing 2946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Georgia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 2946 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004217-241126133413365/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.27924558
title: Proteomic analysis of mouse lung organoids

description: Proteomic analysis of alveolar mouse lung organoids
DOI: 10.6084/m9.figshare.27924558.v1
title: Proteomic analysis of mouse lung organoids

description: Proteomic analysis of alveolar mouse lung organoids
DOI: 10.34760/674834440c96e
title: SeMaglutide and Albuminuria Reduction Trial in obese individuals without diabetes
DOI: 10.15468/dl.73bdkd
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.04680 36.02987,120.78798 36.02987,120.78798 36.32652,120.04680 36.32652,120.04680 36.02987))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Columbiformes"
 ]
}

 The dataset includes 446 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s54xby
title: Occurrence Download

description: A dataset containing 2989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora capsularis L."
 ]
}

 The dataset includes 2989 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004220-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/27692952
title: AI for Development Planning Systematic Review

description: This dataset was curated specifically for the study presented in the paper, <i>Decoding Development: The AI Frontier in Policy Crafting - A Systematic Review</i>. It comprises 208 peer-reviewed publications that examine the integration of artificial intelligence (AI) and machine learning (ML) in policy planning and development. Each dataset entry includes detailed metadata, such as planning context, policy planning stage (e.g., problem diagnosis, resource allocation, outcome projection), specific Sustainable Development Goals (SDGs) addressed, and documented applications of AI/ML models. Systematically constructed, the dataset enables cross-sectional and comparative analyses, capturing the distribution and intensity of AI/ML applications across different stages of the policy planning cycle and economic contexts. By organizing data on each publication’s thematic focus and methodological approaches, this dataset facilitates a nuanced analysis of research trends, identifies existing gaps, and examines the role of smart algorithms in advancing development-oriented policy.
DOI: 10.5522/04/27692952.v2
title: Source Data - AI for Development Planning Systematic Review

description: This dataset was curated specifically for the study presented in the paper, <i>Decoding Development: The AI Frontier in Policy Crafting - A Systematic Review</i>. It comprises 208 peer-reviewed publications that examine the integration of artificial intelligence (AI) and machine learning (ML) in policy planning and development. Each dataset entry includes detailed metadata, such as planning context, policy planning stage (e.g., problem diagnosis, resource allocation, outcome projection), specific Sustainable Development Goals (SDGs) addressed, and documented applications of AI/ML models. Systematically constructed, the dataset enables cross-sectional and comparative analyses, capturing the distribution and intensity of AI/ML applications across different stages of the policy planning cycle and economic contexts. By organizing data on each publication’s thematic focus and methodological approaches, this dataset facilitates a nuanced analysis of research trends, identifies existing gaps, and examines the role of smart algorithms in advancing development-oriented policy.
DOI: 10.5281/zenodo.4091730
title: TSE results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Serbia

description: This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: TSE_2019_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
description: RS; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.5701277
title: TSE results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Serbia

description: This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: TSE_2020_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
description: RS; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.10069712
title: Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Serbia

description: This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.
Reporting authorities contributing to each data collection:

TSE_2022_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
TSE_2021_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
TSE_2020_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
TSE_2019_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
description: RS; en; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.14046730
title: Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Serbia

description: This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001.

Reporting authorities contributing to each data collection:



TSE_2023_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)

TSE_2022_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)

TSE_2021_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)

TSE_2020_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)

TSE_2019_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
description: RS; en; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.7269993
title: Results complementing the European Union summary report on surveillance for the presence of transmissible spongiform encephalopathies (TSE) - Serbia

description: This dataset contains TSE surveillance results in cattle, sheep, goats, cervids and other species, and genotyping in sheep, pursuant to Regulation (EC) 999/2001. <strong>Reporting authorities contributing to each data collection</strong>: TSE_2021_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS) TSE_2020_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS) TSE_2019_RS: Veterinary Directorate - Ministry of Agriculture and Environmental Protection (MPZZS)
description: RS; en; CSV; zoonoses_support@efsa.europa.eu
DOI: 10.48597/42pv-rm2q
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/wkjm-6ucp
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/54qj-zg2v
title: Sulphate_corrected at Keldsnor

description: Measurement of Sulphate_corrected at Keldsnor
DOI: 10.48597/qmhg-dyt8
title: Sulphate_corrected at Keldsnor

description: Measurement of Sulphate_corrected at Keldsnor
DOI: 10.48597/kgqa-e3d8
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/2t3w-dpaj
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/7bj3-h982
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/7b6j-as4a
title: Precipitation_amount at Keldsnor

description: Measurement of Precipitation_amount at Keldsnor
DOI: 10.48597/bdjt-tnme
title: Ammonium at Keldsnor

description: Measurement of Ammonium at Keldsnor
DOI: 10.48597/zypt-gkvq
title: Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/99at-f8k3
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/qqnh-ef9p
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/zgzh-th54
title: Measurement of Sulphate_corrected at Keldsnor

description: Measurement of Sulphate_corrected at Keldsnor
DOI: 10.48597/3ngy-tv2f
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/aa9p-3qqy
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/dxhj-y85r
title: Measurement of Precipitation_amount at Keldsnor

description: Measurement of Precipitation_amount at Keldsnor
DOI: 10.48597/yd5k-d7f2
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/dhfp-rbc4
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/8m9t-huv9
title: Measurement of Sulphate_corrected at Keldsnor

description: Measurement of Sulphate_corrected at Keldsnor
DOI: 10.48597/qdtb-6xfp
title: Measurement of Ammonium at Keldsnor

description: Measurement of Ammonium at Keldsnor
DOI: 10.48597/33hs-r3tf
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor
DOI: 10.48597/3uuq-c6mm
title: Measurement of Inorganics in precipitation at Keldsnor

description: Measurement of Inorganics in precipitation at Keldsnor