cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1087187.10fu
title: SH1087187.10FU

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/sh1087188.10fu
title: SH1087188.10FU

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/sh1087189.10fu
title: SH1087189.10FU

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/sh1087192.10fu
title: SH1087192.10FU

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/sh1087193.10fu
title: SH1087193.10FU

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/sh1087195.10fu
title: SH1087195.10FU

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/sh1087198.10fu
title: SH1087198.10FU

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/sh1087199.10fu
title: SH1087199.10FU

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/sh1087201.10fu
title: SH1087201.10FU

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.njv7ry
title: Occurrence Download

description: A dataset listing the 205 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrina L."
 ]
}

 The dataset's 205 records were derived from 829 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005245-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fseenn
title: Occurrence Download

description: A dataset containing 1204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phacelia ciliata Benth.)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is United States of America",
 "StateProvince is California"
 ]
}

 The dataset includes 1204 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005258-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/7jsrkt
title: Sponge occurrence and associated species and habitat descriptions derived from the 2021 and 2022 SCUBA diving surveys in the Eastern Shore Islands Area of Interest, Nova Scotia.

description: Funded under DFO's Marine Conservation Targets Program in partnership with the Huntsman Marine Science Centre (HMSC), this diver-based imagery and sample collection benthic survey documents the occurrence of sponges at 42 dive sites in the Eastern Shore Islands (ESI) Area of Interest (AOI, ~2089 km2) off the Atlantic coast of Nova Scotia, Canada from dive surveys conducted in summer 2021 and 2022. Water quality, species occurrences and counts, habitat, slope, and substrate characteristics were catalogued through diver log sheets, camera imagery, specimen vouchers, and high-resolution bathymetric data. A total of 54 dives to depths from 11 to 33 m (below sea level), collecting up to 147 still images, one-hour of video, and 17 specimen samples per site, resulted in 220 observations for 27 different sponge taxa. This included three new records for Canada (Hymedesmia stellifera, Plocamionida arndti, Hymedesmia jecusculum) and a range extension for a species new to science (Crellomima mehqisinpekonuta) which was recently described from the Bay of Fundy. There were also four species which may seem to be new to science (Halichondria sp., Hymedesmia sp., Protosuberires sp., and Sphaerotylus sp.). Sponges were found to occupy a diversity of micro-habitats, often several different ones in proximity. A total of eight distinct habitat classes were defined, based on varying abundances and diversity of sponges and associated benthic species. These are likely widely distributed among the many complex submerged seabed features within this AOI. Collected specimens were preserved and are stored at the Atlantic Reference Centre (ARC) in St. Andrew's, New Brunswick.
DOI: 10.6073/pasta/2242837fccdaa307911ff5ae79db6761
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP C-CALI met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.15468/dl.pthqrh
title: Occurrence Download

description: A dataset containing 6822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amsinckia menziesii (Lehm.) A.Nelson & J.F.Macbr.)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is United States of America",
 "StateProvince is California"
 ]
}

 The dataset includes 6822 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005260-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gwq7r
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhizoecus dianthi Green, 1926",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005259-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzfdyh
title: Occurrence Download

description: A dataset containing 343531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Brazil",
 "TaxonKey is one of (Plantae, Samanea samaningua Pittier, Animalia von Ellenrieder & Garrison, 2008)"
 ]
}

 The dataset includes 343531 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005224-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddpxfg
title: Occurrence Download

description: A dataset listing the 62 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-122.23821 37.40849,-122.24822 37.40136,-122.24592 37.39808,-122.23571 37.39762,-122.22882 37.39803,-122.22723 37.39997,-122.23821 37.40849))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-1901"
 ]
}

 The dataset's 62 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005252-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2dm6a
title: Occurrence Download

description: A dataset containing 2201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caulanthus lasiophyllus (Hook. & Arn.) Payson)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is United States of America",
 "StateProvince is California"
 ]
}

 The dataset includes 2201 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005265-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/d2bf3a3b398da024d3e1be7ceff702a9
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: Daily summary data: 2017 - ongoing

description: Daily summary data at NPP P-SMAL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.2908/tps00202
title: Taux de mortalité par suicide par groupe d'age
title: Suicide death rate by age group
title: Selbstmordrate nach Altersgruppe

description: Taux brut de mortalité liée au suicide et à l'auto-mutilation intentionnelle pour 100 000 habitants, par groupe d'âge. Les méthodes d'enregistrement des suicides varient entre les pays et dans le temps. Les chiffres n'incluent pas les décès par évènements dont l'intention n'est pas déterminée (dont une partie devrait être considérée comme des suicides) et les tentatives de suicide qui n'ont pas engendré de décès.
description: Rohe Sterberate aufgrund von Selbstmord und vorsätzlicher Selbstbeschädigung pro 100 000 Einwohner, gegliedert nach Altersgruppe. Die Methoden zur Erfassung von Selbstmord variieren zwischen den Ländern und im zeitlichen Verlauf . Die Zahlenangaben enthalten keine Todesfälle durch Ereignisse, deren nähere Umstände unbestimmt sind (und bei denen es sich aller Wahrscheinlichkeit nach um Selbstmorde handelt) sowie Selbstmordversuche ohne Todesfolge.
description: Crude death rate from suicide and intentional self-harm per 100 000 people, by age group. Suicide registration methods vary between countries and over time. Figures do not include deaths from events of undetermined intent (part of which should be considered as suicides) and attempted suicides which did not result in death.
DOI: 10.15468/dl.2cxw4r
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pteridium aquilinum (L.) Kuhn"
 ]
}

 The dataset includes 849 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005266-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14234043
title: Data for publication. CANOPIES Grape bunch and peduncle dataset

description: In September 2021, data of grape bunches and peduncles were collected in the vineyard of the Corsira Agricultural Cooperative Society (Aprilia, Italy) (Via Corsira (https://goo.gl/maps/UdqVTNQnJTGzRnY39), where table grapes are grown. A total of 45 sequences were recorded, with a total duration of 3,660 seconds (61 minutes) and containing a total of 103,775 images and 80,489 point clouds. The images were acquired on different days and at different times, from 9am to 5pm. They had different lighting conditions due to weather conditions, density of foliage, or time of day. The images were also taken at different distances from the bunches, ranging from 30cm to 2m. 

From the data recorded, ten sequences were selected in which the peduncles and bunches were fully or partially visible, discarding those taken from too far away to identify the peduncle. The CANOPIES Grape Bunch and Peduncle (GBPD) dataset contains a total of 810 RGB images and with their correspondent binary masks for grape bunches and peduncles.

The images were recorded using an Intel RealSense Depth Camera D435. Both 640x480 and 1280x720 resolutions were used. 

The dataset was labelled using VGG Image Annotator (VIA) [1], a free software that can be used without any installation. The labelling work was divided among 8 people. Each of them was given strict guidelines on how to label the images in order to keep the labelling consistent. 

These data were used for accurate detection of table grapes and peduncles for harvesting which methods can be seen in the article [2].

 References

[1] A. Dutta, A. Gupta and A. Zisserman (2019), VGG image annotator (VIA). http://www.robots.ox.ac.uk/~vgg/software/via/ 

[2] Gabriel Coll-Ribes, Ivan J. Torres-Rodriguez, Antoni Grau, Edmundo Guerra, Alberto Sanfeliu (2023), Accurate detection and depth estimation of table grapes and peduncles for robot harvesting, combining monocular depth estimation and CNN methods. Computer and Electronics in Agriculture. Vol. 215, December 2023, 108362. https://doi.org/10.1016/j.compag.2023.108362