cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dcykx5
title: Occurrence Download

description: A dataset containing 32799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-90.6303463200000010 41.5013727600000024, -90.6303463200000010 41.5099452999999983, -90.6303463200000010 41.5211555400000023, -90.6303463200000010 41.5323657799999992, -90.6303463200000010 41.5415977500000011, -90.6303463200000010 41.5541268400000021, -90.6303463200000010 41.5673153600000020, -90.6158042099999932 41.5673153600000020, -90.6039047699999998 41.5673153600000020, -90.5913442500000059 41.5673153600000020, -90.5761394099999961 41.5673153600000020, -90.5622567300000014 41.5673153600000020, -90.5516794499999946 41.5673153600000020, -90.5338302899999974 41.5673153600000020, -90.5219325000000055 41.5673153600000020, -90.5219325000000055 41.5528079899999980, -90.5219325000000055 41.5409383200000022, -90.5219325000000055 41.5237932499999971, -90.5219325000000055 41.5132424299999983, -90.5219325000000055 41.5013727600000024, -90.5318470499999961 41.5013727600000024, -90.5457297300000050 41.5013727600000024, -90.5622567300000014 41.5013727600000024, -90.5748172499999953 41.5013727600000024, -90.5913442500000059 41.5013727600000024, -90.5992772099999968 41.5013727600000024, -90.6131598900000057 41.5013727600000024, -90.6303463200000010 41.5013727600000024))",
 "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 32799 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117905-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grd6bu
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is South Africa",
 "Country is Eswatini"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Englerodaphne pilosa Burtt Davy",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000652-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ann4bg
title: Occurrence Download

description: A dataset containing 104914 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB"
 ]
}

 The dataset includes 104914 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090624-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxf68f
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leavenworthia crassa Rollins"
 ]
}

 The dataset includes 358 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063148-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vylm4b
title: Occurrence Download

description: A dataset containing 1188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Dendrocolaptes sanctithomae (Lafresnaye, 1852)"
 ]
}

 The dataset includes 1188 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009684-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yprr6m
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phymatodocis nordstedtiana Wolle",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141149-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmdkd3
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leavenworthia alabamica Rollins"
 ]
}

 The dataset includes 475 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063146-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j1qcru
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "TaxonKey is Englerodaphne ovalifolia (Meisn.) E.Phillips",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000653-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yp3g4
title: Occurrence Download

description: A dataset containing 26676022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 26676022 records from 661 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143870-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5t2vh
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lachnoloma lehmannii Bunge"
 ]
}

 The dataset includes 91 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063144-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akgzgm
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-102 -26,103 -26,103 28,-102 28,-102 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acer flabellatum Rehder"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010718-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15173655
title: UAV Canyelles Vineyard Dataset 2024-08-30

description: The dataset includes the following components:



RGB: contains 427 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE, R and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE, R and NDVI. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on August 30th, 2024, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 20 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15173656
title: UAV Canyelles Vineyard Dataset 2024-08-30

description: The dataset includes the following components:



RGB: contains 427 RGB images captured using a DJI Mavic 3M UAV. The images are stored in JPG format, with metadata that includes location information, camera settings and capture dates.

SHAPE: contains the shape file used in Metashape Agisoft to crop the point cloud, orthomosaics and DEM, ensuring a clear visualization of the vineyard rows.

POINTCLOUDS: includes both the raw and cropped pointclouds in RGB, NIR, G, RE, R and NDVI. All of them were processed using Metashape Agisoft and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaics in RGB, NIR, G, RE, R and NDVI. All of them were generated using Metashape Agisoft and are in TIF format.

DEM: contains the original and cropped DEM images, also processed using Metashape Agisoft, and stored in TIF format.


This data is aligned with the rest of UAV Canyelles Vineyard Datasets uploaded by Noumena (UC1), so different orthomosaics / pointclouds / DEM of different dates can be analyzed jointly for cropped and uncropped files. 

Data collection took place on August 30th, 2024, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 20 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.48804/b1db2x
title: Intego-II database December 2024

description: The Intego-II database builds on three decades of primary care data collection in Flanders, Belgium. Since 1994 pseudonymized electronic medical record (EMR) data from participating general practices are collected within Intego. Its integration with Healthdata.be provides scalable linkage to mortality, environmental, and disease-specific datasets at the national level. 

Intego-II incorporates substantial advancements in the database’s structure, operations, and accessibility. A robust two-step Extract-Transform-Load (ETL) process ensures data security, privacy, tidiness, and quality. To enhance international research interoperability, the database is aligned with the OMOP Common Data Model. 

Intego-II is organized into three key modules: Patient Information, Medical History, and Clinical Encounters, enabling longitudinal analyses across diverse healthcare domains covering, among others, demographic variables, diagnoses, prescriptions, and laboratory test results. 

Structured quarterly releases with detailed metadata ensure findability and reusability. Researchers can access the full Intego-II database via a secure research environment provided by Healthdata.be, following submission and approval of a study protocol. The data access process can be found on www.intego.be.
DOI: 10.5258/soton/d3362
title: Dataset in support of the thesis 'Characterisation of geotechnical properties for whole-life design'

description: This dataset corresponds to raw and interpreted direct simple shear tests performed on soft clays at the norwegian geotechnical institute. The tests were composed of episodic cyclic sequences with varying number of cycles, episodes and applied stress levels. the data composed of stress, strain behaviour of soil and interpreted parameters (strength, stiffness and coefficient of consolidation) The dataset was used to calibrate a theoretical framework to characterize effects of cyclic loading interevend with consolidation periods.
DOI: 10.15468/dl.2j7dfw
title: Occurrence Download

description: A dataset containing 216939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Symphyotrichum Nees"
 ]
}

 The dataset includes 216939 records from 1098 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001698-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3v7xv
title: Occurrence Download

description: A dataset containing 1563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Erigeron strigosus Muhl. ex Willd.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1563 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018096-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58g78t
title: Occurrence Download

description: A dataset containing 927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon caddoensis Pope & Pope, 1951)"
 ]
}

 The dataset includes 927 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018097-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0215576.10fu
title: SH0215576.10FU

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/sh0215577.10fu
title: SH0215577.10FU

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/sh0215578.10fu
title: SH0215578.10FU

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/sh0215579.10fu
title: SH0215579.10FU

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/sh0215580.10fu
title: SH0215580.10FU

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/sh0215581.10fu
title: SH0215581.10FU

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/sh0215582.10fu
title: SH0215582.10FU

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/sh0215583.10fu
title: SH0215583.10FU

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/sh0215584.10fu
title: SH0215584.10FU

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.