cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gx74t6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus Linnaeus, 1758",
 "Country is Saint Helena, Ascension and Tristan da Cunha",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032074-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14210979
title: Database of GeoNet Broadband and Short Period Stations operating between 2001 and 2021.

description: A station xml file containing all GeoNet stations from 2001 to 2021. In this version not all channels are included for every station but all channels should be listed. Later updates will expand to include all channels. This includes unlisted stations in the GeoNet station search tool. Data obtained from GeoNet New Zealand Seismograph Network (https://doi.org/10.21420/G19Y-9D40).
DOI: 10.5281/zenodo.14210980
title: Database of GeoNet Broadband and Short Period Stations operating between 2001 and 2021.

description: A station xml file containing all GeoNet stations from 2001 to 2021. In this version not all channels are included for every station but all channels should be listed. Later updates will expand to include all channels. This includes unlisted stations in the GeoNet station search tool. Data obtained from GeoNet New Zealand Seismograph Network (https://doi.org/10.21420/G19Y-9D40).
DOI: 10.15468/dl.5vfqv4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.65055 -0.44031,-78.58216 -0.71634,-78.5304 -1.69971,-77.21925 -1.82047,-77.04673 -0.49206,-77.65055 -0.44031))",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032077-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhavhb
title: Occurrence Download

description: A dataset containing 1411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-94.78763 28.7766,-88.87661 28.7766,-88.87661 34.13999,-94.78763 34.13999,-94.78763 28.7766))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelecanus occidentalis Linnaeus, 1766",
 "Year is 2009"
 ]
}

 The dataset includes 1411 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032078-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9qpkd
title: Occurrence Download

description: A dataset containing 3996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((73.45753 0.17109,151.86439 0.17109,151.86439 53.94136,73.45753 53.94136,73.45753 0.17109))",
 "TaxonKey is Quercus acutissima Carruth."
 ]
}

 The dataset includes 3996 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032079-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8jxzc
title: Occurrence Download

description: A dataset containing 100 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 one of (Lysidice brevicalyx C.F.Wei)"
 ]
}

 The dataset includes 100 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032080-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7et9n
title: Occurrence Download

description: A dataset containing 204527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulex europaeus L.",
 "Year 1000-2023"
 ]
}

 The dataset includes 204527 records from 1292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032075-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11070878
title: The Object Detection for Olfactory References (ODOR) Dataset

description: The Object Detection for Olfactory References (ODOR) Dataset

Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-grained target classes. 

Existing datasets provide instance-level annotations on artworks but are generally biased towards the image centre and limited with regard to detailed object classes. The ODOR dataset fills this gap, offering 38,116 object-level annotations across 4,712 images, spanning an extensive set of 139 fine-grained categories. 

It has challenging dataset properties, such as a detailed set of categories, dense and overlapping objects, and spatial distribution over the whole image canvas. 

Inspiring further research on artwork object detection and broader visual cultural heritage studies, the dataset challenges researchers to explore the intersection of object recognition and smell perception.

How to use

The annotations are provided in COCO JSON format. To represent the two-level hierarchy of the object classes, we make use of the supercategory field in the categories array as defined by COCO. In addition to the object-level annotations, we provide an additional CSV file with image-level metadata, which includes content-related fields, such as Iconclass codes or image descriptions, as well as formal annotations, such as artist, license, or creation year.  

In addition to a zip containing the dataset images, we provide links to their source collections in the metadata file and a Python script to conveniently download the artwork images (`download_imgs.py`).

The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively.
DOI: 10.15468/dl.q7e7tc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nematopagurus richeri McLaughlin, 2004"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126216-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10027116
title: The Object Detection for Olfactory References (ODOR) Dataset

description: The Object Detection for Olfactory References (ODOR) Dataset
Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-grained target classes. 
Existing datasets provide instance-level annotations on artworks but are generally biased towards the image centre and limited with regard to detailed object classes. The ODOR dataset fills this gap, offering 38,116 object-level annotations across 4,712 images, spanning an extensive set of 139 fine-grained categories. 
It has challenging dataset properties, such as a detailed set of categories, dense and overlapping objects, and spatial distribution over the whole image canvas. 
Inspiring further research on artwork object detection and broader visual cultural heritage studies, the dataset challenges researchers to explore the intersection of object recognition and smell perception.
How to use
To download the dataset images, run the `download_imgs.py` script in the subfolder. The images will be downloaded to the `imgs` folder.
The annotations are provided in COCO JSON format. To represent the two-level hierarchy of the object classes, we make use of the supercategory field in the categories array as defined by COCO. In addition to the object-level annotations, we provide an additional CSV file with image-level metadata, which includes content-related fields, such as Iconclass codes or image descriptions, as well as formal annotations, such as artist, license, or creation year. For the sake of license compliance, we do not publish the images directly (although most of the images are public domain). Instead, we provide links to their source  collections in the metadata file (meta.csv) and a python script to download the artwork images (download_images.py).
The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively.
DOI: 10.5281/zenodo.6362951
title: The Object Detection for Olfactory References (ODOR) Dataset

description: The Object Detection for Olfactory References (ODOR) Dataset

Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-grained target classes. 

Existing datasets provide instance-level annotations on artworks but are generally biased towards the image centre and limited with regard to detailed object classes. The ODOR dataset fills this gap, offering 38,116 object-level annotations across 4,712 images, spanning an extensive set of 139 fine-grained categories. 

It has challenging dataset properties, such as a detailed set of categories, dense and overlapping objects, and spatial distribution over the whole image canvas. 

Inspiring further research on artwork object detection and broader visual cultural heritage studies, the dataset challenges researchers to explore the intersection of object recognition and smell perception.

How to use

The annotations are provided in COCO JSON format. To represent the two-level hierarchy of the object classes, we make use of the supercategory field in the categories array as defined by COCO. In addition to the object-level annotations, we provide an additional CSV file with image-level metadata, which includes content-related fields, such as Iconclass codes or image descriptions, as well as formal annotations, such as artist, license, or creation year.  

In addition to a zip containing the dataset images, we provide links to their source collections in the metadata file and a Python script to conveniently download the artwork images (`download_imgs.py`).

The mapping between the `images` array of the `annotations.json` and the `metadata.csv` file can be accomplished via the `file_name` attribute of the elements of the `images` array and the unique `File Name` column of the `metadata.csv` file, respectively.
DOI: 10.15468/dl.gmwj3m
title: Occurrence Download

description: A dataset containing 6981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Emoia caeruleocauda (De Vis, 1892))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6981 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042446-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.derhkr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oligodon saintgironsi David, Vogel & Pauwels, 2008)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042458-230224095556074/datasets/export for details.
DOI: 10.15468/dl.wg832r
title: Occurrence Download

description: A dataset containing 7489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "TaxonKey is Metteniusales"
 ]
}

 The dataset includes 7489 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077307-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnum5e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calamaria buchi Marx & Inger, 1955)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042448-230224095556074/datasets/export for details.
DOI: 10.15468/dl.87he2m
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterygoplichthys pardalis (Castelnau, 1855)"
 ]
}

 The dataset includes 826 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184212-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z49znm
title: Occurrence Download

description: A dataset containing 1224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lerista desertorum (Sternfeld, 1919))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1224 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042507-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tb8cn2
title: Occurrence Download

description: A dataset containing 5938309 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 5938309 records from 4482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087865-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvhvxh
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stephanomeria runcinata Nutt.",
 "Geometry POLYGON((-111 36, -99 36, -99 45, -111 45, -111 36))"
 ]
}

 The dataset includes 104 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017589-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2110275221
title: Austrian Crystallographic Diffraction Consortium

description: The Austrian Crystallographic Diffraction Consortium (ACDC) BAG aims at supporting several macromolecular structural biology groups across Austria (in total
20 research groups at 9 institutions in 4 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes,
but also solution scattering approaches are frequently used to characterize dynamic assemblies. Approval of this BAG will be essential for researchers in all
our groups to carry out their structural studies on various health-related and basic research-oriented topics, which are targeted at characterizing large molecular
assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable
through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual
research fields.
DOI: 10.15468/dl.uzqsmi
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "Month is May",
 "Month is June",
 "Month is July",
 "Month is August",
 "Month is September",
 "Month is October",
 "Month is November"
 ]
 },
 "Year 2010-2020",
 "TaxonKey is Clupea harengus Linnaeus, 1758"
 ]
}

 The dataset includes 386 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013750-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btkzr4
title: Occurrence Download

description: A dataset containing 185423 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas des plantes vasculaires de Lorraine"
 ]
}

 The dataset includes 185423 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009045-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybnzyg
title: Occurrence Download

description: A dataset containing 180505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ascidiacea",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 180505 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001525-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrlegu
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllobates terribilis Myers, Daly & Malkin, 1978"
 ]
}

 The dataset includes 796 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001543-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dedaxd
title: Occurrence Download

description: A dataset containing 1827 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Pascal ROUSSE"
 ]
}

 The dataset includes 1827 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024787-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsmqib
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia tindaleae Pedley",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039091-191105090559680/datasets/export for details.
DOI: 10.15468/dl.pxtc5g
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia semirigida Maiden & Blakely",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039067-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rokpzf
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Cedrela odorata L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 125 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048639-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nyjxw
title: Occurrence Download

description: A dataset containing 2015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psittacula finschii (Hume, 1874))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2015 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059432-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzp4sb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptuca limicola (Crane, 1941)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017206-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ifrtd
title: Occurrence Download

description: A dataset containing 27030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sinotaia F.Haas, 1939, Heterogen Annandale, 1921, Heterogeniates Ohaus, 1909, Heterogenea Knoch, 1783, Heterogenaphis Ivanovskaya-Shubina, 1966, Heterogenius Moser, 1911, Heterogenesia Dang, 1967, Heterogena Turner, 1947, Heterogenys Chace, 1986, Heterogena Froussart, 1961, Heterogenella Mamaev, 1963, Mekongia Crosse & P.Fischer, 1876, Mekongia Uvarov, 1925, Mekongiana Uvarov, 1940, Filopaludina Habe, 1964, Margarya G.Nevill, 1877, Neothauma E.A.Smith, 1880, Neothaumatolites Linnaeus, 1982, Neothaumalea Pivar, Moulton & Sinclair, 2018, Viviparus Beck, 1847, Viviparus Montfort, 1810, Taia Annandale, 1918, Taiaroa Bayer & Muzik, 1976, Taiacris Donskoff, 1986, Taianocephalus Sun, 1925, Taialia Tsuneki, 1971, Torotaia F.Haas, 1939, Idiopoma Pilsbry, 1901, Bellamya Jousseaume, 1886, Campeloma Rafinesque, 1819, Angulyagra H.S.Rao, 1931, Trochopaludina Starobogatov, 1986, Cipangopaludina Hannibal, 1912, Rivularia Heude, 1890, Rivularia A.W.Roth, 1797, Rivularia C.Agardh ex Bornet & Flahault, 1886, Rivularialithus Maslov, 1955, Anularya L.-J.Zhang & S.-C.Chen, 2015, Lioplacodes Meek, 1864)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27030 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009049-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.