cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0106744.10fu
title: SH0106744.10FU

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: 10.13145/bacdive114868.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114868.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106745.10fu
title: SH0106745.10FU

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: 10.13145/bacdive114869.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114869.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106746.10fu
title: SH0106746.10FU

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: 10.13145/bacdive114870.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114870.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114871.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114871.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106747.10fu
title: SH0106747.10FU

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/sh0106748.10fu
title: SH0106748.10FU

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: 10.13145/bacdive114872.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114872.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106749.10fu
title: SH0106749.10FU

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: 10.13145/bacdive114873.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114873.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114874.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114874.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0106750.10fu
title: SH0106750.10FU

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: 10.25326/265
title: Relative humidity, Bambey, Senegal

description: Relative humidity is measured at 0.1 Hz using a HMP50 temperature & relative humidity probe (Campbell® Scientific Instruments). The HMP50 probe is located in a naturally ventilated 10-plate radiation shield at 5.2 m height. The relative humidity in percent (%) is recorded as 5 min averages using a CR200 datalogger (Campbell® Scientific Instruments) and distributed as 1 hour averages (UTC). The value reported for 01:00UTC represents the average over the past hour, and so on (the number of values used to compute the average is given for each time step).
DOI: 10.71795/qyyt-x043
title: Manner of Loss thesaurus
DOI: 10.15468/dl.vsz9t9
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blastophaga psenes (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003623-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11203082
title: UAV Canyelles Vineyard Dataset 2023-05-05

description: The dataset includes the following components:



RGB(1-3): contains 1359 RGB images captured using a DJI Mavic 3 Classic 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 point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, 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 May 5th, 2023, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 10 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.11203083
title: UAV Canyelles Vineyard Dataset 2023-05-05

description: The dataset encompasses these Drone-Captured Image Folders:





RGB.tar.gz: A compilation of the top-view RGB images.




SHAPE.tar.gz: It contains the Agisoft shape that defines the vineyard area as vineyard_shape.




POINTCLOUD.tar.gz: Point Clouds of the complete terrain and cropped vineyard area defined by vineyard_shape.




ORTHOMOSAICS.tar.gz: A folder containing the following RGB orthomosaic images of the complete terrain and the cropped vineyard area defined by vineyard_shape.




DEM.tar.gz: Represents the digital model of the surface that defines the ground topography of the complete and cropped vineyard area defined by vineyard_shape.



The data collection procedure involved flying the DJI MAVIC 3 CLASSIC drone over the vineyard in Canyelles in Catalonia, Spain. The flight took place under sunny weather conditions with an average temperature of 26 degrees Celsius.
DOI: 10.5281/zenodo.14967911
title: UAV Canyelles Vineyard Dataset 2023-05-05

description: The dataset includes the following components:



RGB(1-4): contains 1359 RGB images captured using a DJI Mavic 3 Classic 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 point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, 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 May 5th, 2023, in Canyelles, Catalonia, Spain. The UAV was manually flown at an altitude of 10 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15058492
title: UAV Canyelles Vineyard Dataset 2023-05-05

description: The dataset includes the following components:



RGB(1-3): contains 1359 RGB images captured using a DJI Mavic 3 Classic 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 point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, 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 May 5th, 2023, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 10 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.5281/zenodo.15124564
title: UAV Canyelles Vineyard Dataset 2023-05-05

description: The dataset includes the following components:



RGB(1-3): contains 1359 RGB images captured using a DJI Mavic 3 Classic 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 point clouds, processed using Metashape Agisoft, and stored in XYZ format (.txt).

ORTHOMOSAICS: includes the original and cropped orthomosaic images, generated with Metashape Agisoft, 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 May 5th, 2023, in Canyelles, Catalonia, Spain. The UAV was flown at an altitude of 10 meters, ensuring sufficient frontal and side overlap between images.
DOI: 10.15468/dl.fdqgnt
title: Occurrence Download

description: A dataset containing 1277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bledius gallicus (Gravenhorst, 1806)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1277 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003624-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb54pt
title: Occurrence Download

description: A dataset containing 2155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Myriopteris tomentosa (Link) Fée"
 ]
}

 The dataset includes 2155 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069922-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7dubd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa neocaledonica Jonsell"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064638-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usejse
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Irlbachia nemorosa (Willd. ex Roem. & Schult.) Merr."
 ]
}

 The dataset includes 458 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254690-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya3q4r
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homalocarpus digitatus (Phil.) Mathias & Constance"
 ]
}

 The dataset includes 21 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248298-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewzukw
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muhlenbergia flaviseta Scribn."
 ]
}

 The dataset includes 355 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044034-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjw796
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scambopus curvipes (F.Muell.) O.E.Schulz"
 ]
}

 The dataset includes 63 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064681-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tyx6h
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia calocalix Luer"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019863-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjac33
title: Occurrence Download

description: A dataset containing 9872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodentia",
 "Country is Haiti"
 ]
}

 The dataset includes 9872 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021309-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp39t2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "TaxonKey is Freyeria trochylus (Freyer, 1845)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248305-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uu6guk
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rorippa vallicola V.I.Dorof."
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064668-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.