cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9rcs7a
title: Occurrence Download

description: A dataset containing 3686290 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bryophyte data for Great Britain and Ireland from the British Bryological Society held by BRC"
 ]
}

 The dataset includes 3686290 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009930-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18771961
title: CAMBER Dataset – Road Survey Video #38

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-25 13:02:12 UTC

**Processing Information:**
- Video ID: 38
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 38

**Machine Learning Model:**
- Model: models/yolov8_pothole_detection.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.5281/zenodo.18771962
title: CAMBER Dataset – Road Survey Video #38

description: This dataset contains road survey video recordings collected within the CAMBER - European Road Infrastructure Monitoring Project. The videos capture forward-facing visual information on road infrastructure condition, including pavement defects, surface degradation, and road furniture elements.

**Data Generation Method:**
The video was recorded using mobile devices during road monitoring campaigns. Video frames were processed using YOLO-based computer vision models to detect road malfunctions including potholes, manholes, and speed breakers. Detections were geo-referenced using synchronized GPS track data.

**Type of Data:** Video / Image sequences

**Data Format(s):** MP4 (video), CSV (detection results), GPX (GPS track)

**Spatial Coverage:**
- Geographic coordinates: WGS84 (EPSG:4326)

**Temporal Coverage:**
- Recording date: 2026-02-25 13:02:12 UTC

**Processing Information:**
- Video ID: 38
- Processing status: Pending
- Safety assessment: Green (Totally Safe)
- Associated Route ID: 38

**Machine Learning Model:**
- Model: models/yolov8_pothole_detection.pt
- Detected classes: manhole,pothole,speedbreaker,potholes
- Confidence threshold: 0.45
- Minimum track age: 5 frames

**Data Access:**
The dataset files are stored on the CAMBER project infrastructure with S3-compatible storage. Zenodo serves as a persistent metadata record and DOI landing page. Access to the full dataset is provided via the related identifiers or upon request.

**Funding:**
This work was funded by the European Union under the Horizon Europe programme, Grant Agreement No. 101156387.
description: For access requests, technical questions, or further information about this dataset, please contact: data@camber-project.eu

Project website: https://camber-project.eu (TODO: Update with actual URL)
DOI: 10.5281/zenodo.18771849
title: dta_do_excel
DOI: 10.5281/zenodo.18771850
title: dta_do_excel
DOI: 10.15468/dl.wqvrzj
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaimarrornis leucocephalus"
 ]
}

 The dataset includes 460 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009952-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyjrbj
title: Occurrence Download

description: A dataset containing 1108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglossa variabilis"
 ]
}

 The dataset includes 1108 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1407537.10fu
title: SH1407537.10FU

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/sh1407538.10fu
title: SH1407538.10FU

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/sh1407539.10fu
title: SH1407539.10FU

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/sh1407543.10fu
title: SH1407543.10FU

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/sh1407547.10fu
title: SH1407547.10FU

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/sh1407548.10fu
title: SH1407548.10FU

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/sh1407550.10fu
title: SH1407550.10FU

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/sh1407554.10fu
title: SH1407554.10FU

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/sh1407556.10fu
title: SH1407556.10FU

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.pcmeu2
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globisporangium splendens (Hans Braun) Uzuhashi, Tojo & Kakish.",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127221-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxt7yx
title: Occurrence Download

description: A dataset containing 4256 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Kalahari woody vegetation Transect by Ringrose and Matheson (1995 - 2009)"
 ]
}

 The dataset includes 4256 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224815-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94xrw7
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gloriosa baudii (A.Terracc.) Chiov."
 ]
}

 The dataset includes 30 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230186-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nkfjp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((13.923849 41.017702,13.923645 41.017774,13.923563 41.01787,13.923324 41.018011,13.922822 41.018346,13.922239 41.018599,13.921615 41.019309,13.921009 41.02026,13.920975 41.020305,13.921038 41.020644,13.921384 41.020743,13.921598 41.020592,13.922194 41.020509,13.922494 41.020497,13.922139 41.020284,13.921968 41.020006,13.92202 41.019691,13.922455 41.019473,13.922922 41.01968,13.923899 41.02018,13.924152 41.020539,13.924392 41.020729,13.924984 41.021102,13.925171 41.021094,13.925478 41.021679,13.926254 41.021988,13.927676 41.022896,13.928844 41.023928,13.929704 41.02486,13.930496 41.025396,13.931678 41.026114,13.932014 41.026584,13.932676 41.027064,13.933018 41.027424,13.9337 41.027993,13.934384 41.028591,13.934791 41.029,13.935469 41.029513,13.936239 41.030249,13.937242 41.031089,13.938177 41.032017,13.938984 41.032752,13.939633 41.033379,13.940638 41.032225,13.940561 41.03069,13.940204 41.030449,13.939613 41.029591,13.93855 41.027956,13.938167 41.026306,13.937996 41.025587,13.94133 41.025386,13.941784 41.02041,13.941919 41.020204,13.94003 41.019089,13.94045 41.018672,13.939972 41.01781,13.939666 41.017633,13.942122 41.015381,13.941851 41.014766,13.937679 41.011298,13.937105 41.011665,13.936562 41.011945,13.936006 41.012494,13.935347 41.012795,13.934335 41.013351,13.933156 41.013686,13.93257 41.014184,13.932416 41.014251,13.932095 41.014486,13.932046 41.014576,13.931771 41.014771,13.930858 41.015208,13.93079 41.015241,13.929597 41.01589,13.928613 41.016303,13.928334 41.01642,13.928167 41.016455,13.928003 41.01656,13.927482 41.016779,13.927213 41.016854,13.926308 41.016917,13.926135 41.016865,13.925539 41.016947,13.924927 41.017315,13.924369 41.017396,13.923849 41.017702)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029039-230530130749713/datasets/export for details.
DOI: 10.15468/dl.wrdux3
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria yunnanensis Keng f. & K.D.Yu"
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127226-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4bkyr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is ALCB herbarium - Universidade Federal da Bahia - Herbário Virtual REFLORA",
 "TaxonKey is Posoqueria Aubl."
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225122-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bbj8y
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.1_1",
 "TaxonKey is Pseudoedophrys hilleri (Faust, 1889)"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230180-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8beqzr
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tree stand investigations at the old-growth taiga forest (the core of the Kologrivsky Forest Nature Reserve, Russia)"
 ]
}

 The dataset includes 718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224821-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6eysz5
title: Occurrence Download

description: A dataset containing 4978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Harpalus anxius (Duftschmid, 1812))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4978 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069027-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6s548
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globisporangium splendens (Hans Braun) Uzuhashi, Tojo & Kakish.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 92 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127224-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dea77g
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Cypella Herb."
 ]
}

 The dataset includes 499 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029150-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2fh96
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gloriosa flavovirens (Dammer) J.C.Manning & Vinn."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230189-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.