cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15044695
title: Geolocated Imagery Dataset (Scotland)

description: Description:







This dataset offers a comprehensive collection of Geolocated Imagery Dataset (Scotland) captured in Scotland by the Defence Science and Technology Laboratory (Dstl) in February 2019. The dataset is designed to support the development and testing of algorithms that can infer an image’s geographical location based on its visual content rather than relying solely on metadata. This capability is particularly valuable in defense, security, and emergency scenarios, where images may lack precise metadata or timestamps but still need to be geolocated.







Download Dataset









Key Use Cases

One of the primary defense applications for this dataset is to assist in locating hostages or other persons of interest from visual media such as photos or videos sent by captors. In such critical cases, intelligence analysts may only have limited visual data, such as one or two images, and may lack accurate metadata regarding the time or location of the capture. This dataset aids in the creation of machine learning algorithms capable of analyzing the content within the images—such as landscapes, buildings, or natural features—to predict the location.

Dataset Composition and Structure

The dataset consists of a variety of images representing both urban and rural environments, providing diverse visual cues such as buildings, streets, landscapes, and natural elements (e.g., forests, hills). Images were captured using a mobile phone, resulting in mixed quality, a deliberate decision to simulate real-world conditions where image quality may vary. These variations in quality and orientation challenge algorithm development, ensuring robustness across different scenarios.

Geolocation Accuracy

Each image in this dataset is accompanied by geolocation data, which has undergone manual inspection and corrections to mitigate inaccuracies caused by mobile GPS lag. The dataset boasts an accuracy within 100 meters for all images, with most achieving significantly higher accuracy. This ensures that the dataset is suitable for high-precision geolocation tasks, providing a reliable foundation for model training and evaluation.

Privacy and Data Modifications

To safeguard privacy, all identifiable faces and vehicle license plates in the images have been blurred. Apart from these modifications, the images have been kept in their original form to preserve the authenticity and realism of the dataset. The images span a range of angles, orientations, and times of day, making them ideal for training models that must function under variable conditions.

Data Quality and Variety

The dataset emphasizes realistic image conditions, offering a diverse range of visual content:



Urban and rural settings.

Varied lighting and weather conditions.

Different image orientations and angles to simulate real-world data variability.


This dataset is sourced from Kaggle.
DOI: 10.15468/dl.2buecm
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contarinia maculipennis Felt, 1933",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014739-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/zsg3ab
title: Research data for: Modeling frequency shifts in small-scale beams with multiple eccentric masses

description: This dataset contains data used for preparation of the publication:Hossein Darban, Raimondo Luciano, Michał Basista, Modeling frequency shifts in small-scale beams with multiple eccentric masses, Thin-Walled Structures, Volume 201, Part A, 2024, 112005, https://doi.org/10.1016/j.tws.2024.112005This research has received funding from the National Science Centre (NCN) in Poland through the grant agreement No: UMO-2022/47/D/ST8/01348.The data are listed in *.xlsx and *.txt files. The included data are described in files: meta_data_file.txt.The calculations have been performed with Maple.
DOI: 10.15468/dl.3ghftb
title: Occurrence Download

description: A dataset containing 2300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2300 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014741-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm4cr8
title: Occurrence Download

description: A dataset containing 104356531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "License" : [
 "is one of (CC-BY-NC 4.0)"
 ]
 }
 },
 {
 "and" : [
 "Year is greater than 2005",
 "Year is less than or equal to 2010"
 ]
 }
 ]
}

 The dataset includes 104356531 records from 2001 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014714-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kyu3z
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia aintabensis Boiss. & Hausskn."
 ]
}

 The dataset includes 123 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030152-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkmpr4
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grindelia obovatifolia S.F.Blake"
 ]
}

 The dataset includes 80 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233595-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67upeh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((12.868112 43.014692,12.86609 43.013828,12.865921 43.013743,12.865603 43.013905,12.8653 43.014306,12.864102 43.014798,12.863878 43.015798,12.864595 43.016134,12.865916 43.016932,12.866555 43.017963,12.86666 43.018982,12.866995 43.019753,12.867527 43.019735,12.868602 43.019879,12.868753 43.020325,12.868566 43.023218,12.868291 43.023408,12.867734 43.024329,12.867309 43.025396,12.867224 43.026001,12.867014 43.026579,12.86642 43.0269,12.866275 43.027206,12.866649 43.027283,12.866822 43.027428,12.867199 43.027566,12.867612 43.027612,12.868356 43.027707,12.868849 43.02772,12.869353 43.027914,12.870318 43.028272,12.870943 43.028431,12.872032 43.028785,12.87273 43.029454,12.87358 43.029936,12.874499 43.030206,12.8752 43.030272,12.876055 43.030183,12.876769 43.029798,12.877347 43.029207,12.877389 43.028574,12.877983 43.028253,12.878445 43.027124,12.87883 43.02672,12.879734 43.026118,12.880431 43.025463,12.881035 43.025292,12.881495 43.025427,12.882079 43.025587,12.882659 43.025688,12.883302 43.025486,12.884265 43.025152,12.884587 43.024419,12.883477 43.024367,12.882484 43.02422,12.882132 43.023841,12.882112 43.023511,12.882124 43.023059,12.881785 43.022229,12.880932 43.021055,12.880666 43.020733,12.880161 43.020539,12.87986 43.020309,12.879275 43.019487,12.878402 43.017982,12.877709 43.017404,12.876394 43.016035,12.87594 43.015991,12.875259 43.015593,12.87423 43.014876,12.873687 43.014714,12.87307 43.014674,12.872278 43.014461,12.871588 43.014574,12.870449 43.014703,12.869225 43.014805,12.868528 43.014798,12.868112 43.014692)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029895-230530130749713/datasets/export for details.
DOI: 10.15468/dl.ww4nqr
title: Occurrence Download

description: A dataset containing 2238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Girardia tigrina (Girard, 1850))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2238 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069238-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcz8kf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gypsophila syriaca Schischk."
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235299-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uptcw6
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grindelia nelsonii Steyerm."
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233589-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xdvjg
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veyretia hassleri (Cogn.) Szlach."
 ]
}

 The dataset includes 69 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030120-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbw7v8
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "TaxonKey is Epipremnum aureum (Linden & André) G.S.Bunting"
 ]
}

 The dataset includes 512 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234488-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a5uhy
title: Occurrence Download

description: A dataset containing 200443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galium saxatile L."
 ]
}

 The dataset includes 200443 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233578-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgfjty
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gypsophila tenuifolia M.Bieb."
 ]
}

 The dataset includes 229 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235302-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j887yz
title: Occurrence Download

description: A dataset containing 839 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Choisya ternata Kunth"
 ]
}

 The dataset includes 839 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030123-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x32un
title: Occurrence Download

description: A dataset listing the 4709 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Occurrence evidence)",
 "Continent is Europe",
 "Country is Spain",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 4709 records were derived from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069228-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4shr7
title: Occurrence Download

description: A dataset containing 57850 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lama guanicoe (Müller, 1776)"
 ]
}

 The dataset includes 57850 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007759-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edf28z
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave gracillima A.Berger"
 ]
}

 The dataset includes 34 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019017-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkstg4
title: Occurrence Download

description: A dataset containing 22447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodentia",
 "Country is South Africa"
 ]
}

 The dataset includes 22447 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019126-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3rq43
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia cassia Boiss."
 ]
}

 The dataset includes 78 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030215-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shhsu2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than or equal to 45.6194277813024",
 "DecimalLatitude is less than or equal to 45.6320331701669",
 "DecimalLongitude is greater than or equal to 20.2002080002709",
 "DecimalLongitude is less than or equal to 20.2181738602385",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233591-230224095556074/datasets/export for details.
DOI: 10.15468/dl.4j9rk7
title: Occurrence Download

description: A dataset containing 7285962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Country is Belgium",
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 5000"
 ]
}

 The dataset includes 7285962 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007760-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw7nbw
title: Occurrence Download

description: A dataset containing 228153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnadenia conopsea (L.) R.Br."
 ]
}

 The dataset includes 228153 records from 840 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234485-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive105769.20251217.10
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/bacdive105770.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0097707.10fu
title: SH0097707.10FU

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/bacdive105770.20251217.10
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/sh0097708.10fu
title: SH0097708.10FU

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/bacdive105771.20241212.9.2
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/bacdive105771.20251217.10
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/sh0097709.10fu
title: SH0097709.10FU

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/bacdive105772.20241212.9.2
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/bacdive105772.20251217.10
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/sh0097710.10fu
title: SH0097710.10FU

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/bacdive105773.20241212.9.2
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/bacdive105773.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.