cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1206529.10fu
title: SH1206529.10FU

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/sh1206532.10fu
title: SH1206532.10FU

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/sh1206534.10fu
title: SH1206534.10FU

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/sh1206537.10fu
title: SH1206537.10FU

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/sh1206538.10fu
title: SH1206538.10FU

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/sh1206540.10fu
title: SH1206540.10FU

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/sh1206541.10fu
title: SH1206541.10FU

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/sh1206545.10fu
title: SH1206545.10FU

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/sh1206547.10fu
title: SH1206547.10FU

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.fzrynj
title: Occurrence Download

description: A dataset containing 66499 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrhura Bonaparte, 1856"
 ]
}

 The dataset includes 66499 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244263-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5vxvd
title: Occurrence Download

description: A dataset containing 104747 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxus baccata L."
 ]
}

 The dataset includes 104747 records from 538 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262810-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfk3vg
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Lasius alienus (Foerster, 1850)"
 ]
}

 The dataset includes 468 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014504-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x76b6
title: Occurrence Download

description: A dataset containing 15233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-156.57316 14.88448,-50.16532 14.88448,-50.16532 57.42750,-156.57316 57.42750,-156.57316 14.88448))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terrapene carolina (Linnaeus, 1758)",
 "Year 1989-2021"
 ]
}

 The dataset includes 15233 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226183-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntnfxr
title: Occurrence Download

description: A dataset containing 1673 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziziphus lotus (L.) Lam."
 ]
}

 The dataset includes 1673 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014960-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxkph2
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caesalpinia magnifoliolata F.P.Metcalf"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275762-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrj8bd
title: Occurrence Download

description: A dataset containing 8935 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Chrysolina americana (Linnaeus, 1758)",
 "TaxonKey is Chrysolina bankii (Fabricius, 1775)",
 "TaxonKey is Chrysolina graminis (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8935 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012174-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqramp
title: Occurrence Download

description: A dataset containing 3835796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 1950-2021"
 ]
}

 The dataset includes 3835796 records from 2309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271561-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54bwwa
title: Occurrence Download

description: A dataset containing 465872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megaptera novaeangliae",
 "Year 2000-2025"
 ]
}

 The dataset includes 465872 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008885-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25909/31166728
title: ModARO User Study Evaluation - User Questionnaire Responses

description: Questionnaire responses for a user study comparing ModARO (MODular Architecture Reconstruction Orchestrator) to another architecture reconstruction tool (ReSSA) to evaluate its usefulness and usability.
DOI: 10.25909/31166728.v1
title: ModARO User Study Evaluation - User Questionnaire Responses

description: Questionnaire responses for a user study comparing ModARO (MODular Architecture Reconstruction Orchestrator) to another architecture reconstruction tool (ReSSA) to evaluate its usefulness and usability.
DOI: 10.5281/zenodo.18464679
title: DEVELOPING SYLLABLE-BASED READING SKILLS IN PRIMARY SCHOOL STUDENTS

description: This article examines the pedagogical value of syllable-based reading in primary education and presents a methodological framework for developing reading accuracy, fluency, and phonemic awareness among young learners. Grounded in linguistic, psychodidactic, and methodological principles, the study analyzes effective teaching methods for syllable-based reading and evaluates their classroom impact. Using an IMRAD (Introduction, Methods, Results, and Discussion) structure, the article highlights comparative teaching methods, schematic models, and classroom-based practices aimed at strengthening early literacy skills. The findings confirm that systematic syllable-based reading instruction significantly improves students’ reading confidence, decoding accuracy, and overall literacy development.
DOI: 10.5281/zenodo.18464680
title: DEVELOPING SYLLABLE-BASED READING SKILLS IN PRIMARY SCHOOL STUDENTS

description: This article examines the pedagogical value of syllable-based reading in primary education and presents a methodological framework for developing reading accuracy, fluency, and phonemic awareness among young learners. Grounded in linguistic, psychodidactic, and methodological principles, the study analyzes effective teaching methods for syllable-based reading and evaluates their classroom impact. Using an IMRAD (Introduction, Methods, Results, and Discussion) structure, the article highlights comparative teaching methods, schematic models, and classroom-based practices aimed at strengthening early literacy skills. The findings confirm that systematic syllable-based reading instruction significantly improves students’ reading confidence, decoding accuracy, and overall literacy development.
DOI: 10.15468/dl.5jrc2b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melaleuca comboynensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008930-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6eqn32
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salsola angusta"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008929-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18464695
title: Supplementary Material for: Precessional Age Structure and Great Pyramid Metrology: A Quantitative Analysis

description: Supplementary tables, diagrams, and workbook for the forthcoming paper "Precessional Age Structure and Great Pyramid Metrology: A Quantitative Analysis."

Includes:  Table S1: 89-epoch chronology (Creation to present) Table S2: Extra notes Table S3: Delta-T differences (Swiss Ephemeris vs. JPL Horizons/DE441) Table S4: Lunar longitude residuals Table S5: Neptune–Pluto conjunctions (5500 BCE–4300 CE) with live verification links Supplementary tables and diagrams Excel workbook: Pyramid precessional chronology calculator (reproducible model)
DOI: 10.5281/zenodo.18002840
title: Supplementary Material for: Precessional Age Structure and Great Pyramid Metrology: A Quantitative Analysis

description: Supplementary tables, diagrams, and workbook for the forthcoming paper "Precessional Age Structure and Great Pyramid Metrology: A Quantitative Analysis."

Includes:  Table S1: 89-epoch chronology (Creation to present) Table S2: Extra notes Table S3: Delta-T differences (Swiss Ephemeris vs. JPL Horizons/DE441) Table S4: Lunar longitude residuals Table S5: Neptune–Pluto conjunctions (5500 BCE–4300 CE) with live verification links Supplementary tables and diagrams Excel workbook: Pyramid precessional chronology calculator (reproducible model)
DOI: 10.15468/dl.97xerx
title: Occurrence Download

description: A dataset containing 6660 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dyssodia papposa"
 ]
}

 The dataset includes 6660 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008931-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gur9x
title: Occurrence Download

description: A dataset containing 1196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19.9_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 1196 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008932-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g23w85
title: Occurrence Download

description: A dataset containing 11900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (function (name, pos = -1, envir = as.environment(pos), all.names = FALSE, pattern, sorted = TRUE) \n{\n if (!missing(name)) {\n pos &lt;- tryCatch(name, error = function(e) e)\n if (inherits(pos, \"error\")) {\n name &lt;- substitute(name)\n if (!is.character(name)) \n name &lt;- deparse(name)\n warning(gettextf(\"%s converted to character string\", sQuote(name)), domain = NA)\n pos &lt;- name\n }\n }\n all.names &lt;- .Internal(ls(envir, all.names, sorted))\n if (!missing(pattern)) {\n if ((ll &lt;- length(grep(\"[\", pattern, fixed = TRUE))) && ll != length(grep(\"]\", pattern, fixed = TRUE))) {\n if (pattern == \"[\") {\n pattern &lt;- \"\\\\[\"\n warning(\"replaced regular expression pattern '[' by '\\\\\\\\['\")\n }\n else if (length(grep(\"[^\\\\\\\\]\\\\[&lt;-\", pattern))) {\n pattern &lt;- sub(\"\\\\[&lt;-\", \"\\\\\\\\\\\\[&lt;-\", pattern)\n warning(\"replaced '[&lt;-' by '\\\\\\\\[&lt;-' in regular expression pattern\")\n }\n }\n grep(pattern, all.names, value = TRUE)\n }\n else all.names\n}, Praxelis clematidea, Solanum erianthum)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11900 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008927-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2etkc
title: Occurrence Download

description: A dataset containing 61002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megaptera novaeangliae",
 "Year 2000-2025"
 ]
}

 The dataset includes 61002 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008886-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejpdh8
title: Occurrence Download

description: A dataset containing 3557172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Podiceps cristatus"
 ]
}

 The dataset includes 3557172 records from 2394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008896-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pukgwx
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atelomycterus erdmanni Fahmi & White, 2015"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030227-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.