cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qegdz9
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoracantha semipunctata (Fabricius, 1775)"
 ]
}

 The dataset includes 1263 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043300-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s87ja3
title: Occurrence Download

description: A dataset containing 4782511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is one of (Mammalia, Squamata, Amphibia, Testudines, Elasmobranchii, Crocodylia, Sphenodontia)"
 ]
}

 The dataset includes 4782511 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259198-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b93mmt
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ancistrus temminckii (Valenciennes, 1840))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 268 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070047-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx99vn
title: Occurrence Download

description: A dataset containing 1134 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 (Caracterización biológica para la zona propuesta de ampliación del DRMI Pance en Cali (Pance))"
 ]
}

 The dataset includes 1134 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263385-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b97mcu
title: Occurrence Download

description: A dataset containing 3305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Catasticta nimbice (Boisduval, 1836)"
 ]
}

 The dataset includes 3305 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070046-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed35zr
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duroia duckei Huber"
 ]
}

 The dataset includes 217 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036115-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b67eez
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juncus spectabilis Rendle"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259200-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wezv9x
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus erythrocorys F.Muell."
 ]
}

 The dataset includes 360 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043339-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e69gbp
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoebe bournei (Hemsl.) Yen C.Yang",
 "Year 1000-2010"
 ]
}

 The dataset includes 105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036137-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyje75
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrobium amoenum Wall. ex Lindl.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 130 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263390-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bw2p5s
title: Occurrence Download

description: A dataset containing 513590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria vesca L.",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 513590 records from 1866 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259191-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu6vmj
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (DIBA-Parc Natural del Montseny, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), VIT Herbarium - Vascular Plants (The Natural History Museum of Alava))",
 "Geometry POLYGON((-9.52435 43.41698,-9.82592 41.58289,-7.07411 41.44175,-8.24269 38.34808,-7.48877 35.85306,-2.70137 36.31004,0.72897 37.84376,0.38971 39.28791,3.36769 41.04493,3.44309 42.83924,-1.60818 43.66291,-6.99872 44.20583,-9.52435 43.41698))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 230 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004862-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/cd9zt5
title: Intercropping_Mixed_A12_20240408_150101_mask.png

description: :unav
DOI: 10.15468/dl.z43v2z
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (DIBA-Parc Natural del Montseny, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), VIT Herbarium - Vascular Plants (The Natural History Museum of Alava))",
 "Geometry POLYGON((-2.12835 43.96896,-8.06715 44.5287,-10.20304 43.51733,-9.26533 42.06474,-6.45222 41.90985,-7.49411 37.54521,-6.76479 35.91702,-1.03436 36.00136,3.65416 42.60387,-2.12835 43.96896))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 230 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004863-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/idczkl
title: Pure_Faba_HUAP30_20240321_141919_mask.png

description: :unav
DOI: 10.57745/0khqca
title: Intercropping_Mixed_HUAP30_20240321_160156_mask.png

description: :unav
DOI: 10.57745/og7xh6
title: Intercropping_Mixed_A12_20240321_160537.jpg

description: :unav
DOI: 10.57745/6t9blx
title: Pure_tri_TS_REDN4_20240422_154814_mask.png

description: :unav
DOI: 10.57745/rlqfa8
title: Intercropping_Mixed_REDN11_20240422_162345_mask.png

description: :unav
DOI: 10.57745/dqjnrh
title: Pure_tri_0N_REDN4_20240422_153338.jpg

description: :unav
DOI: 10.57745/7wg1zc
title: Intercropping_Mixed_REDN11_20240408_150520_mask.png

description: :unav
DOI: 10.57745/ippprw
title: Intercropping_In_row_REDN11_20240321_155152_mask.png

description: :unav
DOI: 10.15468/dl.gv8gg5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum nocturnum",
 "Country is Philippines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005388-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naaxhe
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cestrum nocturnum",
 "Country is Niue",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005387-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17313843
title: HERITRACE user testing results: usability evaluation and qualitative analysis

description: This dataset contains complete user testing data and results for HERITRACE, a semantic content management system for cultural heritage institutions. The study involved 14 participants divided into two groups: end users (7 participants) and configurators (7 participants).

The dataset combines quantitative metrics (SUS scores, task duration, error rates, success rates) with qualitative analysis following grounded theory methodology (open, axial, and selective coding). All data is provided in accessible formats (JSON for structured data, Markdown for textual content, PNG for visualizations), enabling reproducibility and secondary analysis.

Dataset structure:

  /results  ├── aggregated_analysis/  │   ├── recruitment/ - Participant recruitment distribution data and visualizations  │   ├── sus/ - Aggregated System Usability Scale (SUS) reports, individual scores, and comparative visualizations  │   └── tasks/ - Cross-participant task metrics including duration comparisons, error heatmaps, and success rates  │  ├── endusers/ - Data from 7 end user participants (1e-7e)  │   ├── transcriptions/ - Complete verbatim transcriptions of testing sessions  │   ├── written_answers/ - Responses to post-test written questionnaires  │   ├── sus/ - Individual System Usability Scale questionnaires  │   ├── task_completion/ - Structured task performance data (completion status, duration, errors)  │   ├── open_coding/ - First-level qualitative coding of transcriptions  │   ├── end_user_axial_codes.json - Second-level categorical analysis  │   ├── end_user_selective_codes.json - Third-level theoretical integration  │   └── TEMPLATE_task_completion.json - Task completion data structure template  │  ├── technicians/ - Data from 7 technician/configurator participants (1t-7t)  │   ├── transcriptions/ - Complete verbatim transcriptions of testing sessions  │   ├── written_answers/ - Responses to post-test written questionnaires  │   ├── sus/ - Individual System Usability Scale questionnaires  │   ├── task_completion/ - Structured task performance data (completion status, duration, errors)  │   ├── open_coding/ - First-level qualitative coding of transcriptions  │   ├── technician_axial_codes.json - Second-level categorical analysis  │   ├── technician_selective_codes.json - Third-level theoretical integration  │   └── TEMPLATE_task_completion.json - Task completion data structure template  │  └── templates/ - Methodological templates documenting the analytical structure      ├── TEMPLATE_axial_codes.json - Axial coding structure      ├── TEMPLATE_open_codes.json - Open coding structure      └── TEMPLATE_selective_codes.json - Selective coding structure
DOI: 10.15156/bio/sh1149573.10fu
title: SH1149573.10FU

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/sh1149574.10fu
title: SH1149574.10FU

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/sh1149579.10fu
title: SH1149579.10FU

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/sh1149584.10fu
title: SH1149584.10FU

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/sh1149588.10fu
title: SH1149588.10FU

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/sh1149592.10fu
title: SH1149592.10FU

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/sh1149598.10fu
title: SH1149598.10FU

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/sh1149601.10fu
title: SH1149601.10FU

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/sh1149609.10fu
title: SH1149609.10FU

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/sh1149611.10fu
title: SH1149611.10FU

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.