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

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-94.043 28.929,-88.817 28.929,-88.817 33.019,-94.043 33.019,-94.043 28.929))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anemone berlandieri Pritz.",
 "Year 1980-2024"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017035-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wc8k7
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Aeshna mixta Latreille, 1805"
 ]
}

 The dataset includes 390 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142919-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncmuos
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 118 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045680-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zmzsd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus ahmed-adlii Bornm. & Gauba"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017029-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg4qp9
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "TaxonKey is Pararge xiphia Boisduval, 1832"
 ]
}

 The dataset includes 324 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144688-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58ulzc
title: Occurrence Download

description: A dataset containing 3665 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Artemisia tridentata Nutt."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3665 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045681-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pb9w6
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia qinlingensis Y.Ling & Y.R.Ling"
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017055-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnr297
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenicola loveni Kinberg, 1866"
 ]
}

 The dataset includes 84 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157549-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr01xv
title: Occurrence Download

description: A dataset containing 7256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Rhinella Fitzinger, 1826"
 ]
}

 The dataset includes 7256 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045681-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugenj8
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia prattii (Pamp.) Y.Ling & Y.R.Ling"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017004-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xmywg
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Odontophorus speciosus Tschudi, 1843"
 ]
}

 The dataset includes 389 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145557-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt8t4z
title: Occurrence Download

description: A dataset containing 40407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Klais guimeti (Bourcier, 1843)"
 ]
}

 The dataset includes 40407 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080337-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thnf26
title: Occurrence Download

description: A dataset containing 12813 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Beta maritima L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12813 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045682-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsc4tu
title: Occurrence Download

description: A dataset containing 4947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archips oporana (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4947 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018167-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/weph-zm68
title: Māori Business Datasets 2020-2024

description: Māori enterprises are pivotal to the economic and cultural prosperity of Aotearoa, yet predictive analysis of business outcomes tailored to these enterprises remains underexplored. This research examines the application of recurrent neural networks (RNNs) and transformer architectures to forecast key performance indicators (KPIs) for Māori small and medium-sized enterprises (SMEs). Anchored in the principles of indigenous data sovereignty—specifically through the Mana Rauranga framework—this study develops predictive models that uphold and protect the integrity of Māori data.The methodology utilises publicly available datasets, including business, employment, and earnings statistics from Stats NZ, while adhering to ethical protocols aligned with Māori aspirations for self-determination in data management. Comparative experiments assess the performance of RNN and transformer models in predicting financial sustainability and business growth. Preliminary findings indicate that transformers outperform RNNs in long-term sequence prediction tasks, offering scalable and culturally attuned AI solutions to support Māori entrepreneurship. This study bridges both technical and indigenous knowledge domains, offering a blueprint for how AI can enhance Māori business success through predictive insights while safeguarding data sovereignty. Future research will focus on community collaboration to further refine and contextualise these models, ensuring their relevance and adaptability.
DOI: 10.15468/dl.n377x7
title: Occurrence Download

description: A dataset containing 4488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "TaxonKey is Machilus thunbergii Siebold & Zucc."
 ]
}

 The dataset includes 4488 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018168-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e9d38
title: Occurrence Download

description: A dataset containing 73275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-80.519 39.721,-78.038 39.721,-78.038 42.269,-80.519 42.269,-80.519 39.721))",
 "TaxonKey is Plantae",
 "Year 2023-2024"
 ]
}

 The dataset includes 73275 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018166-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14892331
title: Predictions of EnzymeExplorer for UniRef90 clusters with no InterPro annotations

description: This dataset contains the results of predictions by the software EnzymeExplorer on UniRef90 clusters that are longer than 230 amino acid residues and do not have any annotation in InterPro, making them a protein dark matter. 

Enzyme explorer predicts whether a protein belongs to the family of terpene synthases (TPS). The dataset is a csv file with the following columns:



ID - The UniProt id of the predicted sequence

sequence - The amino acid sequence of the protein

isTPS - A confidence score if this protein is a terpene synthase. The lowest scores that have been experimentally observed to be functional terpene synthases are about 0.35

precursor substr - A confidence score if this protein is a isoprenyl diphosphate synthase, that is the enzyme responsible for synthesis of TPS substrates. Enzymes that are isoprenyl diphosphate synthases have usually low isTPS scores

Substrates (8 columns) - Confidence scores for predictions of substrates accepted by this enzyme
DOI: 10.5281/zenodo.14892332
title: Predictions of EnzymeExplorer for UniRef90 clusters with no InterPro annotations

description: This dataset contains the results of predictions by the software EnzymeExplorer on UniRef90 clusters that are longer than 230 amino acid residues and do not have any annotation in InterPro, making them a protein dark matter. 

Enzyme explorer predicts whether a protein belongs to the family of terpene synthases (TPS). The dataset is a csv file with the following columns:



ID - The UniProt id of the predicted sequence

sequence - The amino acid sequence of the protein

isTPS - A confidence score if this protein is a terpene synthase. The lowest scores that have been experimentally observed to be functional terpene synthases are about 0.35

precursor substr - A confidence score if this protein is a isoprenyl diphosphate synthase, that is the enzyme responsible for synthesis of TPS substrates. Enzymes that are isoprenyl diphosphate synthases have usually low isTPS scores

Substrates (8 columns) - Confidence scores for predictions of substrates accepted by this enzyme
DOI: 10.5281/zenodo.15055077
title: eljavatar/DynaMTests: v1.0.0

description: This is the first version of the DynaMTests (Dynamic context Mapped Tests) dataset and corpus. This version includes the following:





Folder dataset: Contains pairs of test cases mapped with methods to their respective focal methods, plus metadata that allows to identify the dependencies used within the focal method.




Corpus folder: Contains a corpus of data with source-target pairs, where target is the test method and source is the focal method together with its dynamic context or focal context. This corpus is available in three formats: csv, json and raw.




Repos folder: Contains json files with the list of repositories that were used to create this dataset.




Defects4j_corpus folder: Contains a corpus with projects from the Defects4J dataset. This corpus also contains source-target pairs, where target is the test method and source is the focal method together with its dynamic context or its focal context. This corpus is also available in three formats: csv, json and raw.




Folder d4j_utils: Contains utility scripts that were used to build the Defects4J corpus.




In the root of the repository, the rest of the scripts used to build the DynaMTests dataset and corpus are located.



 



Accessing via Git LFS


The repository makes use of the Git large file storage (LFS) service. Git LFS does replacing large files in the repository with tiny pointer files. To pull the actual files do:


 



# first, clone the repo
git clone git@github.com:eljavatar/DynaMTests.git
# next, change to the DynaMTests folder
cd DynaMTests
# finally, pull the files
git lfs pull
DOI: 10.5281/zenodo.15055078
title: eljavatar/DynaMTests: v1.0.0

description: This is the first version of the DynaMTests (Dynamic context Mapped Tests) dataset and corpus. This version includes the following:





Folder dataset: Contains pairs of test cases mapped with methods to their respective focal methods, plus metadata that allows to identify the dependencies used within the focal method.




Corpus folder: Contains a corpus of data with source-target pairs, where target is the test method and source is the focal method together with its dynamic context or focal context. This corpus is available in three formats: csv, json and raw.




Repos folder: Contains json files with the list of repositories that were used to create this dataset.




Defects4j_corpus folder: Contains a corpus with projects from the Defects4J dataset. This corpus also contains source-target pairs, where target is the test method and source is the focal method together with its dynamic context or its focal context. This corpus is also available in three formats: csv, json and raw.




Folder d4j_utils: Contains utility scripts that were used to build the Defects4J corpus.




In the root of the repository, the rest of the scripts used to build the DynaMTests dataset and corpus are located.



 



Accessing via Git LFS


The repository makes use of the Git large file storage (LFS) service. Git LFS does replacing large files in the repository with tiny pointer files. To pull the actual files do:


 



# first, clone the repo
git clone git@github.com:eljavatar/DynaMTests.git
# next, change to the DynaMTests folder
cd DynaMTests
# finally, pull the files
git lfs pull
DOI: 10.15468/dl.99py4e
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arhopalus asperatus (LeConte, 1859)"
 ]
}

 The dataset includes 724 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018171-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbtfhg
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aptinothrips rufus (Haliday, 1836)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1126 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018172-250310093411724/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.24081441
title: Data for running the analyses in the study 'Bumblebee occupancy responds to complex interactions between local and landscape land use, climatic niche properties and climate change'Bumble bee probability of occurrence responds to interactions between local and landscape land use, climatic niche properties and climate change

description: Contained here are all of the data needed to run the analyses in 'Bumblebee occupancy responds to complex interactions between local and landscape land use, climatic niche properties and climate change', besides those that are available elsewhere and for which we don't have sharing permission.
DOI: 10.15468/dl.6putra
title: Occurrence Download

description: A dataset containing 20421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Swiss National Dragonflies Databank",
 "GadmGid is CHE.18_1"
 ]
}

 The dataset includes 20421 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018173-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15055239
title: The numerical simulation results
DOI: 10.5281/zenodo.15055240
title: The numerical simulation results
DOI: 10.15468/dl.p3seut
title: Occurrence Download

description: A dataset containing 816049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sambucus nigra L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 816049 records from 3371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018165-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1124368.10fu
title: SH1124368.10FU

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/sh1124371.10fu
title: SH1124371.10FU

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/sh1124374.10fu
title: SH1124374.10FU

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/sh1124375.10fu
title: SH1124375.10FU

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.