cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18204985
title: Enhanced Time Series Forecasting of Employment Ratio Using Stacked Deep Learning Models

description: The proposed Stacked BiLSTM model demonstrates enhanced predictive accuracy by effectively capturing both past and future temporal relationships within the sequence data. This comprehensive model provides precise and explainable results for forecasting employment trends, facilitating more informed decision-making in the development of economic and workforce policies. The performance of the model is evaluated using metrics such as an R² of 0.9801, an Mean Squared Error(MSE) of 0.0008, an Mean Absolute Error(MAE) of 0.0225, an Explained Variance Score of 0.9845, and a Pearson Correlation of 0.9924, which explicitly surpasses the performance of GRU and LSTM models. The reliability and clarity of the model are further analysed through visualisation techniques, comprising residual distribution plots and training-validation MAE curves, while SHAP and LIME analyses provide meaningful insights into feature contributions.
DOI: 10.5281/zenodo.18204987
title: Enhanced Time Series Forecasting of Employment Ratio Using Stacked Deep Learning Models

description: The proposed Stacked BiLSTM model demonstrates enhanced predictive accuracy by effectively capturing both past and future temporal relationships within the sequence data. This comprehensive model provides precise and explainable results for forecasting employment trends, facilitating more informed decision-making in the development of economic and workforce policies. The performance of the model is evaluated using metrics such as an R² of 0.9801, an Mean Squared Error(MSE) of 0.0008, an Mean Absolute Error(MAE) of 0.0225, an Explained Variance Score of 0.9845, and a Pearson Correlation of 0.9924, which explicitly surpasses the performance of GRU and LSTM models. The reliability and clarity of the model are further analysed through visualisation techniques, comprising residual distribution plots and training-validation MAE curves, while SHAP and LIME analyses provide meaningful insights into feature contributions.
DOI: 10.15156/bio/sh1064065.10fu
title: SH1064065.10FU

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/sh1064066.10fu
title: SH1064066.10FU

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/sh1064070.10fu
title: SH1064070.10FU

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/sh1064079.10fu
title: SH1064079.10FU

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/sh1064080.10fu
title: SH1064080.10FU

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/sh1064082.10fu
title: SH1064082.10FU

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/sh1064083.10fu
title: SH1064083.10FU

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/sh1064085.10fu
title: SH1064085.10FU

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/sh1064086.10fu
title: SH1064086.10FU

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.buaprd
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turdus sanchezorum O'Neill, Lane & Naka, 2011"
 ]
}

 The dataset includes 294 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003276-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkcmgg
title: Occurrence Download

description: A dataset containing 3764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea salicifolia Besser ex DC.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3764 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069023-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.seuke3
title: Occurrence Download

description: A dataset listing the 253 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Rock Pool Project database - intertidal species records from rocky shore habitats - from February 2019"
 ]
}

 The dataset's 253 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111090-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezngqf
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is China",
 "Year 1950-2019",
 "HasCoordinate is true",
 "TaxonKey is Reptilia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 462 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003270-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4gchp
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angraecum dupontii Pailler"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008973-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67fh4x
title: Occurrence Download

description: A dataset containing 177479 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "Continent is Europe",
 "Country is Germany",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate uncertainty meters invalid",
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Country mismatch",
 "Issue is Country derived from coordinates",
 "Issue is Continent country mismatch",
 "Issue is Continent derived from coordinates",
 "Issue is Presumed negated longitude",
 "Issue is Presumed negated latitude",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date invalid",
 "Issue is Taxon match fuzzy",
 "Issue is Depth not metric",
 "Issue is Depth unlikely",
 "Issue is Depth min max swapped",
 "Issue is Depth non numeric",
 "Issue is Elevation unlikely",
 "Issue is Elevation not metric",
 "Issue is Elevation non numeric",
 "Issue is Modified date invalid",
 "Issue is Modified date unlikely",
 "Issue is Identified date unlikely",
 "Issue is Identified date invalid",
 "Issue is Basis of record invalid",
 "Issue is Type status invalid",
 "Issue is Multimedia URI invalid",
 "Issue is References URI invalid",
 "Issue is Error during interpretation",
 "Issue is Individual count invalid",
 "Issue is Individual count conflicts with occurrence status",
 "Issue is Occurrence status unparsable",
 "Issue is Occurrence status inferred from individual count",
 "Issue is Elevation min max swapped",
 "Issue is Multimedia date invalid"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2020"
 ]
}

 The dataset includes 177479 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128065-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7tzgv
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Uganda",
 "Country is Tanzania, United Republic of",
 "Country is Congo, Democratic Republic of the"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Celtis durandii Engl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005091-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vzqqf
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brachychiton rupestris (Lindl.) Schum."
 ]
}

 The dataset includes 568 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042642-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uz7re
title: Occurrence Download

description: A dataset containing 10534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achyranthes aspera L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10534 records from 380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069037-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4cz4z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Chinese Taipei",
 "Country is China"
 ]
 },
 "TaxonKey is Cephaloscyllium fasciatum Chan, 1966"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092079-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44vr7j
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achyrophorus laevigatus (L.) Talavera & M.Talavera",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 228 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069044-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnxj3s
title: Occurrence Download

description: A dataset containing 5214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Digitaria eriantha Steud."
 ]
}

 The dataset includes 5214 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005090-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqhmug
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinnyis ello Linnaeus, 1758"
 ]
}

 The dataset includes 1655 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092080-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhtnqg
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panaphis juglandis (Goeze, 1778))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 503 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042643-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzfzcb
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petrocosmea Oliv."
 ]
}

 The dataset includes 460 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005088-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggszg6
title: Occurrence Download

description: A dataset containing 5502 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "DatasetKey is one of (Monitoreos de Fauna y Flora en áreas biosensoras y de rehabilitación de la Mina Calenturitas, 2020-2022)"
 ]
}

 The dataset includes 5502 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069043-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjp5ft
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyornis colonus (Hartert & Ejo, 1898)"
 ]
}

 The dataset includes 38 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101491-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ltw1dc
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Uganda",
 "Country is Tanzania, United Republic of",
 "Country is Congo, Democratic Republic of the"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Celtis durandii Engl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005098-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.