cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0214705.10fu
title: SH0214705.10FU

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/sh0214706.10fu
title: SH0214706.10FU

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/sh0214707.10fu
title: SH0214707.10FU

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/sh0214708.10fu
title: SH0214708.10FU

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/sh0214709.10fu
title: SH0214709.10FU

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/sh0214710.10fu
title: SH0214710.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.q3wqmx
title: Occurrence Download

description: A dataset containing 149787 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DEMNA-DNE : Occurrences of benthic macroinvertebrates in running waters of Wallonia, Belgium"
 ]
}

 The dataset includes 149787 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020337-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkegf3
title: Occurrence Download

description: A dataset containing 152194 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Graz, Institute of Plant Sciences - Herbarium GZU"
 ]
}

 The dataset includes 152194 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020335-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ktmgw
title: Occurrence Download

description: A dataset containing 1081872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1081872 records from 402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017980-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks4eyj
title: Occurrence Download

description: A dataset containing 260824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ortalis vetula (Wagler, 1830))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 260824 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059968-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy3kfq
title: Occurrence Download

description: A dataset containing 5309 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Twelve local floras of European Russia"
 ]
}

 The dataset includes 5309 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059988-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.citlwy
title: Occurrence Download

description: A dataset containing 34615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is South Africa",
 {
 "or" : [
 "DatasetKey is AM: Terrestrial Insect Collections (1896-2000)",
 "DatasetKey is Catalogue of Afrotropical Bees",
 "DatasetKey is Snow Entomological Museum Collection",
 "DatasetKey is ARC-PPRI: Collection of Southern African bees (1800-2007)",
 "DatasetKey is IZIKO South Africa Museum Collection (1800-2013)",
 "DatasetKey is DNSM: Durban Natural Science Museum Insect Collection (1900-2011)",
 "DatasetKey is FBIP: Systematics of South African Hymenoptera",
 "DatasetKey is FBIP: IZIKO Hymenoptera collection"
 ]
 },
 {
 "or" : [
 "InstitutionCode is sam",
 "InstitutionCode is am",
 "InstitutionCode is cas",
 "InstitutionCode is ppri",
 "InstitutionCode is samc",
 "InstitutionCode is arc",
 "InstitutionCode is ku",
 "InstitutionCode is sanc",
 "InstitutionCode is dmsa",
 "InstitutionCode is afribug (afrc)"
 ]
 },
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 34615 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000353-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r84qak
title: Occurrence Download

description: A dataset containing 2525 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orophea Blume"
 ]
}

 The dataset includes 2525 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199224-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enn43e
title: Occurrence Download

description: A dataset containing 304008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 304008 records from 501 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021087-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vuh2l
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypobathrum racemosum (Roxb.) Kurz",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042811-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w958hf
title: Occurrence Download

description: A dataset containing 3900286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Literature Occurrence, Specimen, Unknown evidence, Machine Observation)",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2021",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3900286 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119884-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2q8ama
title: Occurrence Download

description: A dataset containing 4140252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain"
 ]
}

 The dataset includes 4140252 records from 1516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119870-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73rjxn
title: Occurrence Download

description: A dataset containing 7831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-170 5,-50 5,-50 83,-170 83,-170 5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Deschampsia cespitosa (L.) P.Beauv."
 ]
}

 The dataset includes 7831 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005507-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygxtkt
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pabstiella uniflora (Lindl.) Luer"
 ]
}

 The dataset includes 134 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005559-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n6g74dcgvm.1
title: Graphene nanoengineered fiber reinforced concrete compressive strength dataset

description: This dataset accompanies the article titled "Assessment of Hybrid Fiber Reinforced Graphene Nano-Engineered Concrete Composites: From Experimental Testing to Explainable Machine Learning Modeling". It includes experimental data on the properties of concrete composites that incorporate hybrid fibers and graphene nano-engineering. The dataset contains key parameters such as:

Material Composition: Quantities of cement, sand, aggregate, and supplementary cementitious materials (SCM).
Additives: Information on water-to-binder ratio (W/B), superplasticizer (SP), and types of fibers used, including steel fiber (SF), polypropylene fiber (PP), and glass fiber (GF).
Experimental Conditions: The age of the concrete samples (in days) and the corresponding compressive strength (CS) values.
References: A column for source references providing additional details on the experimental setups.
This data supports the development and validation of machine learning models to predict the behavior of hybrid fiber reinforced graphene nano-engineered concrete composites.
DOI: 10.17632/xk8db3p74p.1
title: Data relating to public procurement criteria in public tendering proceedings in Poland

description: The data is available in the following XLSX files: 1) Set of unique criteria in Unique criteria.xlsx file, 2) Test dataset matrix in test dataset matrix.xlsx file, 3) Results of Lingo clustering algorithm in Lingo Max top lvl passes 0.xlsx and Lingo Max top lvl passes 4.xlsx files, 4) Results of cosine grouping in cosine 0.6 grouping.xlsx and cosine 0.8 grouping.xlsx files
DOI: 10.17632/xk8db3p74p.2
title: Data relating to public procurement criteria in public tendering proceedings in Poland

description: The data is available in the following XLSX files: 1) Set of unique criteria in Unique criteria.xlsx file, 2) Test dataset matrix in test dataset matrix.xlsx file, 3) Results of Lingo clustering algorithm in Lingo Max top lvl passes 0.xlsx and Lingo Max top lvl passes 4.xlsx files, 4) Results of cosine grouping in cosine 0.6 grouping.xlsx and cosine 0.8 grouping.xlsx files
DOI: 10.17632/kbmr3vbj33.1
title: Decision matrix including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of a two-dimensional decision matrix with values in TOE (tonnes of oil equivalent) per 1000 inhabitants. The data was collected for 2021. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/kbmr3vbj33.2
title: Decision matrix including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of a two-dimensional decision matrix with values in TOE (tonnes of oil equivalent) per 1000 inhabitants. The data was collected for 2021. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/3jcmt5b9t3.1
title: Decision matrices including performance values of alternatives for multi-criteria temporal assessment of SDG 7 implementation by selected European countries

description: This data includes values achieved by evaluated alternatives in relation to the realization of aims of the SDG 7 (Sustainable Development Goal 7 - Affordable and clean energy) framework collected for 2017-2022. The aims of SDG 7 are represented by 10 criteria for which data was collected in 6 two-dimensional decision matrices built for each year. SDG 7 prompts for ensuring universal access to affordable, reliable, and sustainable energy. The data is available in six individual XLSX and CSV files for particular years. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/3jcmt5b9t3.2
title: Decision matrices including performance values of alternatives for multi-criteria temporal assessment of SDG 7 implementation by selected European countries

description: This data includes values achieved by evaluated alternatives in relation to the realization of aims of the SDG 7 (Sustainable Development Goal 7 - Affordable and clean energy) framework collected for 2017-2022. The aims of SDG 7 are represented by 10 criteria for which data was collected in 6 two-dimensional decision matrices built for each year. SDG 7 prompts for ensuring universal access to affordable, reliable, and sustainable energy. The data is available in six individual XLSX and CSV files for particular years. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/k5ghn8d3y4.1
title: Decision matrix including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of a two-dimensional decision matrix with values in KTOE (kilotonnes of oil equivalent) per 100 000 inhabitants. The data was collected for 2022. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/k5ghn8d3y4.2
title: Decision matrix including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of a two-dimensional decision matrix with values in KTOE (kilotonnes of oil equivalent) per 100 000 inhabitants. The data was collected for 2022. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/hyggsrh68c.1
title: Decision matrices including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of 2 two-dimensional decision matrices with values, one in percentage of RES share in relation to total energy sources in each branch, and second in KTOE per 100 000 inhabitants. The data was collected for 2022. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf
DOI: 10.17632/hyggsrh68c.2
title: Decision matrices including performance values of alternatives for evaluation European countries regarding sustainable RES share

description: This data is related to performance values in relation to criteria for assessing European countries in terms of sustainable share of renewable energy. It consists of indicators related to the share of energy from renewable sources included in the SHARES (Short assessment of renewable energy sources) framework focused on the harmonized calculation of the share of energy from renewable sources for EU countries. Data are provided in the form of 2 two-dimensional decision matrices with values, one in percentage of RES share in relation to total energy sources in each branch, and second in KTOE per 100 000 inhabitants. The data was collected for 2022. The data is available in XLSX and CSV file. A detailed description of the data is provided in a PDF named data.pdf