cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0014315.10fu
title: SH0014315.10FU

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: 10.17632/5jmc3zpkpd.1
title: Self-Esteem Classification

description: This dataset was used in the study entitled “SMOTE Effectiveness and various Machine Learning Algorithms to Predict Self-Esteem Levels of Indonesian Student.” Data were collected through a questionnaire distributed to students aged 16–30 years, containing 19 features covering social, emotional, and demographic aspects related to self-esteem levels. A total of 47 responses were obtained, with 64% indicating high self-esteem and 36% indicating low self-esteem. Features include variables such as social relations, psychological well-being, social support, social media usage, emotional regulation, and others. The dataset was used to develop classification models using Naïve Bayes, Decision Tree, Random Forest, Logistic Regression, and Support Vector Machine (SVM) algorithms, and evaluated with preprocessing techniques such as SMOTE and min-max normalization. This dataset is suitable for research in psychology, education, mental health, and machine learning, particularly in studies related to psychological prediction using tabular data.

Keywords:
self-esteem, mental health, machine learning, SMOTE, normalization, survey dataset, psychological prediction, Indonesian students

Additional Information:
Sample size: 47
Number of features: 19
Data format: Tabular (CSV/Excel)
Questionnaire language: Indonesian
Measurement scale: Likert 1–5 and categorical data
Related publication: JURNAL EMAES Vol.7 No.2 May 2025, DOI: 10.21512/emacsjournal.v7i2.13521

Citation Suggestion:
Anshori, M., Siwi Pradini, R., & Teja Kusuma, W. (2025). SMOTE Effectiveness and various Machine Learning Algorithms to Predict Self-Esteem Levels of Indonesian Student. Engineering, MAthematics and Computer Science Journal (EMACS), 7(2), 175–182. https://doi.org/10.21512/emacsjournal.v7i2.13521
DOI: 10.3535/69m-jjn-dnf
title: Viola tricolor L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014316.10fu
title: SH0014316.10FU

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: 10.17632/zbtjfc3vrw
title: Evaluation of systemic risk in a financial system using dynamic mode decomposition - research data

description: Research data for reproducing the results from "Evaluation of systemic risk in a financial system using dynamic mode decomposition" paper
DOI: 10.3535/d52-w8z-y5x
title: Malva pusilla Sm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014317.10fu
title: SH0014317.10FU

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: 10.3535/f3f-vkt-ky5
title: Malva pusilla Sm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/k0c-njk-nqr
title: Impatiens parviflora DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17632/zbtjfc3vrw.1
title: Evaluation of systemic risk in a financial system using dynamic mode decomposition - research data

description: Research data for reproducing the results from "Evaluation of systemic risk in a financial system using dynamic mode decomposition" paper
DOI: 10.3535/hwe-jes-t52
title: Malva pusilla Sm.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014318.10fu
title: SH0014318.10FU

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: 10.3535/qat-45v-hhv
title: Viola tricolor subsp. tricolor

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014319.10fu
title: SH0014319.10FU

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: 10.3535/0eh-mch-88y
title: Epilobium lamyi F. W. Schultz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3wb-wnw-tlb
title: Impatiens parviflora DC.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5db-wr4-0nr
title: Epilobium lamyi F. W. Schultz

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014320.10fu
title: SH0014320.10FU

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: 10.3535/jcy-6fl-9qd
title: Cucumis melo L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0014321.10fu
title: SH0014321.10FU

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.69nq63
title: Occurrence Download

description: A dataset containing 239294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2018-2021"
 ]
}

 The dataset includes 239294 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002364-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcfb33
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scybalium jamaicense (Sw.) Schott & Endl."
 ]
}

 The dataset includes 97 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024090-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phdz5a
title: Occurrence Download

description: A dataset containing 364376 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus halepensis Mill."
 ]
}

 The dataset includes 364376 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118290-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veqrkw
title: Occurrence Download

description: A dataset containing 3735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 8.16405444148049",
 "DecimalLongitude is less than 8.16711399466489",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3735 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006938-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsude2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malus sieversii (Ledeb.) Roem.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1943",
 "Year is less than or equal to 2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066113-231120084113126/datasets/export for details.
DOI: 10.15468/dl.tbpflg
title: Occurrence Download

description: A dataset containing 25460 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Momotus momota (Linnaeus, 1766)",
 "TaxonKey is Bothrops bilineatus Duméril, Bibron & Duméril, 1854"
 ]
}

 The dataset includes 25460 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024091-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t4j3w
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimera fimbriata (Exell) R.H.Archer"
 ]
}

 The dataset includes 50 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343901-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyo5tr
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Country is Mexico",
 "TaxonKey is Didelphis Linnaeus, 1758"
 ]
}

 The dataset includes 90 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008504-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc3x7n
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amorphophallus gallowayi Hett."
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006940-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9smxt
title: Occurrence Download

description: A dataset containing 527918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lathyrus pratensis L.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1943",
 "Year is less than or equal to 2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 527918 records from 1659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066115-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111139578
title: Incantation against Evil Eye

description: [Text Description:] Protagonist (Anat?) consumes flesh and drinks blood of his/her "brother" ❧ [Text or Publication Number Note:] KTU 1.96; CAT 1.96; KTU2 1.96; CTU 1.96; RS 22.225 ❧ [Excavation Description:] Excavations at Ras Shamra 1959. Found in Southern Quarter, p.t. 2610 at .9 m, excavated by Claude F.-A. Schaeffer, Mission Archeologique Francaise. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet, 7.8 cm. X 6.5 cm.
DOI: 10.15468/dl.guccbe
title: Occurrence Download

description: A dataset containing 6066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-86.1966254000000021 41.6627713000000028, -86.1966254000000021 41.6657287100000033, -86.1966254000000021 41.6690557900000016, -86.1966254000000021 41.6718283599999992, -86.1966254000000021 41.6757099599999989, -86.1966254000000021 41.6781128499999980, -86.1966254000000021 41.6812551000000013, -86.1925658899999974 41.6812551000000013, -86.1894292500000034 41.6812551000000013, -86.1846320300000031 41.6812551000000013, -86.1803883399999933 41.6812551000000013, -86.1770671999999962 41.6812551000000013, -86.1742995700000023 41.6812551000000013, -86.1695023599999956 41.6812551000000013, -86.1665502299999986 41.6812551000000013, -86.1632290799999936 41.6812551000000013, -86.1576934999999935 41.6812551000000013, -86.1576934999999935 41.6792218800000001, -86.1576934999999935 41.6764493100000024, -86.1576934999999935 41.6721980399999978, -86.1576934999999935 41.6692406299999973, -86.1576934999999935 41.6655438700000005, -86.1576934999999935 41.6627713000000028, -86.1613839900000045 41.6627713000000028, -86.1652586700000001 41.6627713000000028, -86.1678417800000034 41.6627713000000028, -86.1715319500000021 41.6627713000000028, -86.1759601499999945 41.6627713000000028, -86.1789122800000058 41.6627713000000028, -86.1820489199999997 41.6627713000000028, -86.1868461300000064 41.6627713000000028, -86.1923813800000005 41.6627713000000028, -86.1966254000000021 41.6627713000000028))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 6066 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099304-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11413233
title: Bioinformatics for public health microbiologists: Module 1 dataset (South African Salmonella)

description: Module 1 (WGS) dataset (paired-end Illumina reads of Salmonella enterica strains isolated from animals and animal products in South Africa)





module1_dataset_ZAsalmonella.tar.gz: raw Illumina paired-end reads




trimmed_reads.tar.gz: trimmed Illumina paired-end reads (i.e., trimmed via fastp v0.23.4)




contigs.tar.gz: assembled genomes (i.e., trimmed reads assembled into contigs using SKESA v2.5.1)




prokka.tar.gz: whole-genome annotation results (i.e., produced via Prokka v1.14.6)




enterobase_salmonella.tar.gz: publicly available assembled genomes (downloaded via Enterobase; https://enterobase.warwick.ac.uk/, accessed 1 June 2024)




snippy_input.tsv: input file used for Snippy (https://github.com/tseemann/snippy)
DOI: 10.25549/inscriptifact-ouc111328013
title: Codex Climaci Rescriptus: Ladder of Ascent by John Climacus, MS.000149.1-.86

description: [Text Description:] Codex Climaci Rescriptus: Syriac translation of Ladder of Divine Ascent by John Climacus, upper text ❧ [Text or Publication Number Note:] MS.000149.1-.86 ❧ [Excavation Description:] Found at St. Catherine's Monastery ❧ [Medium:] Parchment ❧ [Script Note:] Syriac ❧ [Physical Object Description:] 137 folios; 9.06 x 14.56 in. (23 x 37 cm); vellum with ink ❧ [Physical Object Note:] Palimpsest
DOI: 10.25549/inscriptifact-ouc111139165
title: Kilamuwa Inscription

description: [Text Description:] Kilamuwa's Achievements as King ❧ [Text or Publication Number Note:] KAI 24 ❧ [Excavation Description:] Discovered 1902 in excavations of Zinjirli ❧ [Medium:] Stone ❧ [Script Note:] Phoenician ❧ [Physical Object Description:] Stele 130 x 154 cm