cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1104987.10fu
title: SH1104987.10FU

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/sh1104990.10fu
title: SH1104990.10FU

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/sh1104991.10fu
title: SH1104991.10FU

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/sh1104995.10fu
title: SH1104995.10FU

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/sh1104998.10fu
title: SH1104998.10FU

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/sh1105001.10fu
title: SH1105001.10FU

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/sh1105004.10fu
title: SH1105004.10FU

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/sh1105005.10fu
title: SH1105005.10FU

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/sh1105006.10fu
title: SH1105006.10FU

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/sh1105011.10fu
title: SH1105011.10FU

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.byzsqg
title: Occurrence Download

description: A dataset containing 13373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes canadensis (Theobald, 1901)"
 ]
}

 The dataset includes 13373 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012320-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6kdeq
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Unaspis yanonensis (Kuwana, 1923))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012323-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zduvvv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptotermes dudleyi Banks, 1918)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012322-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6d35u
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diaphorina citri Kuwayama, 1908)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 382 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012321-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nscdzz
title: Occurrence Download

description: A dataset containing 9058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orientus ishidae (Matsumura, 1902))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9058 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012324-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bbvrw
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalcides bedriagai (Bosca, 1880)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 146 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012325-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptj2dy
title: Occurrence Download

description: A dataset containing 40446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Gulo gulo (Linnaeus, 1758)"
 ]
}

 The dataset includes 40446 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012326-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t5g4b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chalcides simonyi (Steindachner, 1891)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012328-250310093411724/datasets/export for details.
DOI: 10.5281/zenodo.11281899
title: Data for "How does the latitude of Stratospheric Aerosol Injection Affect the Climate in UKESM1?"

description: Data for "How does the latitude of Stratospheric Aerosol Injection Affect the Climate in UKESM1?" by Matthew Henry et al. published in Atmospheric Chemistry and Physics.

Each file contains the relevant variables for a given run.

The run names are given below in the correct order (r1,r2,r3,r4,r8 or r1,r2,r3):

ARISE-SAI-1.5 : u-cl322, u-cl458, u-cl459, u-cl460, u-cl461

EQ : u-de029, u-de034, u-cy805

15N+15S : u-cu743, u-cy806, u-cy807

30N+30S : u-cr991, u-cs992, u-cs993, u-cs994, u-cs995

60N+60S : u-ct762, u-cy808, u-cy809

And the "FeedBack_Stats*" files contain the controller output from which you can get the amount of SO2 injected for each run.
DOI: 10.5281/zenodo.11281900
title: Data for "How does the latitude of Stratospheric Aerosol Injection Affect the Climate in UKESM1?"

description: Data for "How does the latitude of Stratospheric Aerosol Injection Affect the Climate in UKESM1?" by Matthew Henry et al. published in Atmospheric Chemistry and Physics.

Each file contains the relevant variables for a given run.

The run names are given below in the correct order (r1,r2,r3,r4,r8 or r1,r2,r3):

ARISE-SAI-1.5 : u-cl322, u-cl458, u-cl459, u-cl460, u-cl461

EQ : u-de029, u-de034, u-cy805

15N+15S : u-cu743, u-cy806, u-cy807

30N+30S : u-cr991, u-cs992, u-cs993, u-cs994, u-cs995

60N+60S : u-ct762, u-cy808, u-cy809

And the "FeedBack_Stats*" files contain the controller output from which you can get the amount of SO2 injected for each run.
DOI: 10.5284/1127577
title: Site Data from a Watching Brief at Market Hall and Sabine's Yard, Swadlincote, Derbyshire, March-June 2023

description: This collection comprises images, site records, and vector drawings from a watching brief at Market Hall and Sabine's Yard, Swadlincote, Derbyshire undertaken by Archaeological Research Services Ltd. between March and June 2023. A selection of post medieval pottery, glass, kiln furniture and iron were recovered from the remains of a series of structures encountered across the site.
DOI: 10.15468/dl.d8bbed
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-20.38333 6.71667,52.95 6.71667,52.95 49.03333,-20.38333 49.03333,-20.38333 6.71667)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Meriones libycus Lichtenstein, 1823"
 ]
}

 The dataset includes 865 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012333-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgzyqw
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xylosandrus morigerus Reitter, 1913)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012329-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4h9mg
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agriosphodrus dohrni (Signoret, 1862))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 420 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012331-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jsehus
title: Occurrence Download

description: A dataset containing 11793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is AUT.9_1",
 "Month is April",
 "Year 2024-2024"
 ]
}

 The dataset includes 11793 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012334-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15038528
title: Forchheim Image Dataset

description: Description:







The Forchheim Image Dataset is design specifically for Source Camera Identification (SCI) tasks, offering a diverse range of images captured from various devices. This dataset is an essential resource for forensic and cybersecurity professionals who are working to trace the origin of digital images to the cameras that captured them.

The dataset contains a total of 3,851 high-resolution images, meticulously curated from 27 distinct digital devices, ensuring broad representation across different camera models and manufacturers. To maintain the focus on Source Camera Identification, only the ‘original’ (unprocessed) images from each device have been retain, while all other derivative files, such as edited or compressed versions, have been exclude.







Download Dataset









Key Features of the Forchheim Dataset:



Diversity of Devices: Includes images from 27 unique devices, ranging from smartphones to high-end cameras, covering various sensor types, lenses, and software configurations.

High-Quality Images: All images are preserved in their original, unaltered formats to ensure authenticity and integrity for SCI tasks.

Exclusively for SCI: Derivative files and any post-processed images have been remove, ensuring that the dataset strictly serves the purpose of source camera identification.

Applications: Ideal for forensic analysis, digital media forensics, image authentication, and cybersecurity research where tracing the origin of images is critical.

Dataset Structure: The dataset is organize into folders by device, making it easier for researchers to access and analyze images base on their source.


Potential Use Cases:



Forensic Analysis: Identifying the source of images in legal cases or criminal investigations.

Cybersecurity: Detecting manipulated or unauthorized images used in malicious campaigns.

Academic Research: Training and testing machine learning models for image source attribution


This dataset is sourced from Kaggle.