cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ytu6vw
title: Occurrence Download

description: A dataset containing 59560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aulacorhynchus prasinus (Gould, 1833)"
 ]
}

 The dataset includes 59560 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215411-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezczp5
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is Roadkill"
 ]
}

 The dataset includes 65 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012722-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vceczc
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 662 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015609-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xgt2v
title: Occurrence Download

description: A dataset containing 4357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is LACM Invertebrate Paleontology",
 "RecordedBy is Georg Statz"
 ]
}

 The dataset includes 4357 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215413-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5e57d
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Macao, Hong Kong)",
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Paleobiology Database)",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)"
 ]
}

 The dataset includes 584 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132051-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9aeeyg
title: Occurrence Download

description: A dataset containing 246466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "Geometry POLYGON((-66.83643 -11.58838,-68.27783 -12.2915,-66.34424 -16.75635,-64.23486 -17.42432,-60.85986 -15.45557,-59.52392 -13.83838,-63.63721 -11.86963,-64.90283 -10.35791,-66.83643 -11.58838))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 246466 records from 379 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081638-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsukrh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capra hircus Linnaeus, 1758",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281415-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm6gtw
title: Occurrence Download

description: A dataset containing 2080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Netherlands, United States of America)",
 "MediaType is Audio",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year 1000-2023"
 ]
}

 The dataset includes 2080 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132069-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e5xzx
title: Occurrence Download

description: A dataset containing 747163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chlorophyta",
 "Year 2000-2021"
 ]
}

 The dataset includes 747163 records from 1013 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083000-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10818943
title: How ChatGPT defines risk - Data

description: This is the dataset associated to the paper How ChatGPT defines risk? published on Journal of Risk Research. Here is the paper abstract:

 

Large Language Models (LLMs) are prominent AI tools potentially useful in various applications involving natural language interactions and exchanges of information with human users. These models, however, have the potential to spread misinformation and misconceptions, especially when used by individuals lacking the necessary expertise to critically assess their output. ChatGPT, developed by OpenAI, is a public available LLM and one of the most renowned. The paper explores whether the information it provides about the concept of risk and some related basic notions can be considered sufficiently correct. Specifically, ChatGPT was first utilized to build a glossary of basic concepts for the risk analysis field, modeled after that of the Society for Risk Analysis (SRA). The model was then used to assess the quality of the generated entries for clarity, precision, completeness and presence of examples, and to compare such entries to those of the SRA glossary again for quality and for semantic similarity. Independent ChatGPT user sessions were used throughout so as to avoid influencing one output by the previous ones. The results suggest that, while the SRA and ChatGPT entries may differ in focus and scopes, they share a common core and do not conflict in substantial ways. Therefore, we can develop the working hypothesis that ChatGPT does not promote major misconceptions as to the foundational definitions about risk, at least with respect to those provided by the SRA
DOI: 10.5281/zenodo.10818944
title: How ChatGPT defines risk - Data

description: This dataset contains the results discussed in the manuscript "How ChatGPT defines risk" submitted for publication. At present no access permission will be granted except to the reviewers.
DOI: 10.5281/zenodo.11669999
title: How ChatGPT defines risk - Data

description: This is the dataset associated to the paper How ChatGPT defines risk? published on Journal of Risk Research. Here is the paper abstract:

 

Large Language Models (LLMs) are prominent AI tools potentially useful in various applications involving natural language interactions and exchanges of information with human users. These models, however, have the potential to spread misinformation and misconceptions, especially when used by individuals lacking the necessary expertise to critically assess their output. ChatGPT, developed by OpenAI, is a public available LLM and one of the most renowned. The paper explores whether the information it provides about the concept of risk and some related basic notions can be considered sufficiently correct. Specifically, ChatGPT was first utilized to build a glossary of basic concepts for the risk analysis field, modeled after that of the Society for Risk Analysis (SRA). The model was then used to assess the quality of the generated entries for clarity, precision, completeness and presence of examples, and to compare such entries to those of the SRA glossary again for quality and for semantic similarity. Independent ChatGPT user sessions were used throughout so as to avoid influencing one output by the previous ones. The results suggest that, while the SRA and ChatGPT entries may differ in focus and scopes, they share a common core and do not conflict in substantial ways. Therefore, we can develop the working hypothesis that ChatGPT does not promote major misconceptions as to the foundational definitions about risk, at least with respect to those provided by the SRA
DOI: 10.15468/dl.9w8yr2
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Svalbard and Jan Mayen",
 "TaxonKey is Ursus maritimus Phipps, 1774",
 "Year is 2023"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020174-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axbqd5
title: Occurrence Download

description: A dataset listing the 57 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "DatasetKey is FishBase Database",
 "IucnRedListCategory is one of (EW, CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (192a9ab0-5565-11d8-b290-b8a03c50a862, 3b5161b7-9831-4444-9822-a60df4df107d, b711353c-44d7-4e8b-90c5-16fea0d247e0, a3250342-34a5-4101-8831-d1a136483952)",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset's 57 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020130-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26999416
title: composite 1061 gene trees

description: These are the gene trees obtained from the hybseq process using the composite 1061 probeset. The species included are <i>Dyssodia decipiens, D. tagetiflora, D. papposa, and D. pinnata,</i> as well as <i>Comaclinium montanum, Tagetes lunulata, Boeberoides grandiflora, </i>and<i> Gymnolaena serratifolia.</i>
DOI: 10.6084/m9.figshare.26999416.v1
title: composite 1061 gene trees

description: These are the gene trees obtained from the hybseq process using the composite 1061 probeset. The species included are <i>Dyssodia decipiens, D. tagetiflora, D. papposa, and D. pinnata,</i> as well as <i>Comaclinium montanum, Tagetes lunulata, Boeberoides grandiflora, </i>and<i> Gymnolaena serratifolia.</i>
DOI: 10.15468/dl.8hr55e
title: Occurrence Download

description: A dataset containing 1513602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 838537fc-4aeb-4980-8b58-97fbdcd1d91a"
 ]
}

 The dataset includes 1513602 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020134-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pqejc
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Argemone mexicana L."
 ]
}

 The dataset includes 63 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020177-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27048094
title: composite 1272 gene trees

description: These are the gene trees obtained from the hybseq process using the composite 1272 probeset. The species included are<i> Dyssodia decipiens, D. tagetiflora, D. papposa, </i>and <i>D. pinnata, </i>as well as <i>Comaclinium montanum, Tagetes lunulata, Boeberoides grandiflora</i>, and <i>Gymnolaena serratifolia.</i>
DOI: 10.6084/m9.figshare.27048094.v1
title: composite 1272 gene trees

description: These are the gene trees obtained from the hybseq process using the composite 1272 probeset. The species included are<i> Dyssodia decipiens, D. tagetiflora, D. papposa, </i>and <i>D. pinnata, </i>as well as <i>Comaclinium montanum, Tagetes lunulata, Boeberoides grandiflora</i>, and <i>Gymnolaena serratifolia.</i>
DOI: 10.15468/dl.f5s6j8
title: Occurrence Download

description: A dataset containing 939219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-07-23",
 "EventDate is less than or equal to 2024-08-22",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 939219 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020098-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.brkkic
title: Quantum-Well Heterodyne Detector for High-Resolution THz Spectroscopy

description: Quantum-Well Heterodyne Detector for High-Resolution THz Spectroscopy
DOI: 10.15468/dl.6kug9n
title: Occurrence Download

description: A dataset containing 7495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((171.25492 -44.37363,171.26096 -44.35882,171.25858 -44.35779,171.25353 -44.35721,171.24984 -44.35877,171.24614 -44.36083,171.24548 -44.36333,171.2461 -44.36608,171.24745 -44.37096,171.2507 -44.37248,171.25492 -44.37363))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7495 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020178-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5bn9xf2j
title: MassIVE MSV000095888 - Analysis of protein phosphorylation in response to the ATP treatment in Arabidopsis thaliana
title: The project intended to reveal protein phosphorylation patterns in Arabidopsis thaliana in response to ATP. For this purpose, Arabidopsis thaliana plants, including WT, ATP receptor mutants (p2k1, p2k2, and double mutant p2k1/p2k2), and P2K1 overexpression plants, were treated with ATP or buffer (as the negative control). Crude membrane proteins were then extracted, reduced with DTT, alkylated with iodoacetamide, and digested with Lys-C/trypsin. The digested peptides were then acidified with formic acid, desalted with C18 SPE columns, and concentrated in a Speed-Vac concentrator. The Phosphopeptides were enriched from the above digested peptide samples using IMAC and then analyzed with LC-MS/MS. Data was searched with MaxQuant (ver. 2.0.1.0), which identified and quantified peptides and proteins across all of with Arabidopsis thaliana data set (Uniprot.2020.11.02).
DOI: 10.15468/dl.j4znj8
title: Occurrence Download

description: A dataset containing 781254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Other BSBI Scottish data up to 2018, Flora von Deutschland (Phanerogamen))",
 "TaxonKey is Cyperaceae"
 ]
}

 The dataset includes 781254 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020096-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3srq5
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copris minutus (Drury, 1773)"
 ]
}

 The dataset includes 822 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020180-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hztsnp
title: Occurrence Download

description: A dataset containing 912511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Dutch Vegetation Database, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt)",
 "TaxonKey is Cyperaceae"
 ]
}

 The dataset includes 912511 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020095-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6u6sr
title: Occurrence Download

description: A dataset containing 1484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heliconia rostrata Ruiz & Pav."
 ]
}

 The dataset includes 1484 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020181-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13772694
title: Datasets for time-lapse camera monitoring of insects and their floral environments

description: Contains the dataset for training and validation of models to estimate flower cover and identify taxa of arthropods in time-lapse camera recordings described in the paper:

Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke T. Høye, A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments, 2024, bioRxiv, https://doi.org/10.1101/2024.04.12.589205

The zip files contain the needed files and directory structure to train the models in Python code published at: https://github.com/kimbjerge/insectsFlowers

Content of zip files:===============

insects.zip: Contains images and labels in YOLO format: https://github.com/ultralytics/yolov5/issues/2293

trainI21m contains the images and labels to train the insect detector with YOLOv5. Contains only the motion-informed enhanced images (MIE).testI21m contains the images and labels to test the insect detector trained with YOLOv5. Contains only the motion-informed enhanced images (MIE).

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Flowers.zip: contains the images of plants and flowers with black and white masks to train the DeepLabv3 flower semantic segmentation model.

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

NI2-19cls.zip: contains images for training and validation of the arthropod classifiers 

Image crops of arthropods are organized in 19 subdirectories one for each class.

A1-CoccinellidaeB2-ColeopteraC3-BackgroundD4-BombusE5-SyrphidaeF6-LepidopteraG7-AranaeaeH8-FormidicidaeI9-DipteraJ10-HemipteraK11-IsopodaL12-UspecificeredeN13-HymenopteraO14-OrthopteraP15-Rhagonycha_fulvaQ16-SatyrinaeR17-Aglais_urticeaS18-OdonataT19-Apis_mellifera
DOI: 10.5281/zenodo.13772695
title: Datasets for time-lapse camera monitoring of insects and their floral environments

description: Contains the dataset for training and validation of models to estimate flower cover and identify taxa of arthropods in time-lapse camera recordings described in the paper:

Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke T. Høye, A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments, 2024, bioRxiv, https://doi.org/10.1101/2024.04.12.589205

The zip files contain the needed files and directory structure to train the models in Python code published at: https://github.com/kimbjerge/insectsFlowers

Content of zip files:===============

insects.zip: Contains images and labels in YOLO format: https://github.com/ultralytics/yolov5/issues/2293

trainI21m contains the images and labels to train the insect detector with YOLOv5. Contains only the motion-informed enhanced images (MIE).testI21m contains the images and labels to test the insect detector trained with YOLOv5. Contains only the motion-informed enhanced images (MIE).

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Flowers.zip: contains the images of plants and flowers with black and white masks to train the DeepLabv3 flower semantic segmentation model.

----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

NI2-19cls.zip: contains images for training and validation of the arthropod classifiers 

Image crops of arthropods are organized in 19 subdirectories one for each class.

A1-CoccinellidaeB2-ColeopteraC3-BackgroundD4-BombusE5-SyrphidaeF6-LepidopteraG7-AranaeaeH8-FormidicidaeI9-DipteraJ10-HemipteraK11-IsopodaL12-UspecificeredeN13-HymenopteraO14-OrthopteraP15-Rhagonycha_fulvaQ16-SatyrinaeR17-Aglais_urticeaS18-OdonataT19-Apis_mellifera
DOI: 10.15468/dl.42cqhj
title: Occurrence Download

description: A dataset containing 111791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa canina L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2010",
 "BasisOfRecord is Human Observation",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 111791 records from 1721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020151-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgwur3
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elegia deusta (Rottb.) Kunth"
 ]
}

 The dataset includes 113 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033756-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgevgb
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis simensis Rüppell, 1840"
 ]
}

 The dataset includes 86 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067672-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.