cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15745531
title: Alpaca Dataset Image Classification

description: Description:

The Alpaca Dataset is a collection of JPEG images designed for binary image classification tasks, specifically classifying images as “Alpaca” or “Not Alpaca”. This dataset is ideal for training and fine-tuning machine learning models using transfer learning techniques.

Download Dataset

Context

This small dataset is perfect for educational purposes, initial model testing, and developing proof-of-concept applications in image classification. Due to its limited size, it is most beneficial when used in conjunction with transfer learning to leverage pre-trained models for improved accuracy.

Content

The dataset is organized into two primary directories:



Alpaca: Contains images that include alpacas.

Not Alpaca: Contains images without alpacas, featuring subjects that may resemble alpacas but are not.


Additional Information



Format: All images are in JPEG format, ensuring compatibility with a wide range of image processing libraries and tools.

Usage: This dataset can be utilized in various machine learning frameworks such as TensorFlow, PyTorch, and Keras for building and testing classification models.

Applications: Potential applications include animal recognition systems, educational tools, and development of AI-driven content moderation systems.


Data Statistics



Total Images: X (Number of images in the dataset)

Alpaca Images: Y (Number of images in the Alpaca directory)

Not Alpaca Images: Z (Number of images in the Not Alpaca directory)

Image Resolution: Varies, with most images having a resolution suitable for quick model training and evaluation.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15745532
title: Alpaca Dataset Image Classification

description: Description:

The Alpaca Dataset is a collection of JPEG images designed for binary image classification tasks, specifically classifying images as “Alpaca” or “Not Alpaca”. This dataset is ideal for training and fine-tuning machine learning models using transfer learning techniques.

Download Dataset

Context

This small dataset is perfect for educational purposes, initial model testing, and developing proof-of-concept applications in image classification. Due to its limited size, it is most beneficial when used in conjunction with transfer learning to leverage pre-trained models for improved accuracy.

Content

The dataset is organized into two primary directories:



Alpaca: Contains images that include alpacas.

Not Alpaca: Contains images without alpacas, featuring subjects that may resemble alpacas but are not.


Additional Information



Format: All images are in JPEG format, ensuring compatibility with a wide range of image processing libraries and tools.

Usage: This dataset can be utilized in various machine learning frameworks such as TensorFlow, PyTorch, and Keras for building and testing classification models.

Applications: Potential applications include animal recognition systems, educational tools, and development of AI-driven content moderation systems.


Data Statistics



Total Images: X (Number of images in the dataset)

Alpaca Images: Y (Number of images in the Alpaca directory)

Not Alpaca Images: Z (Number of images in the Not Alpaca directory)

Image Resolution: Varies, with most images having a resolution suitable for quick model training and evaluation.


This dataset is sourced from Kaggle.
DOI: 10.15156/bio/sh0210147.10fu
title: SH0210147.10FU

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/sh0210148.10fu
title: SH0210148.10FU

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/sh0210149.10fu
title: SH0210149.10FU

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/sh0210150.10fu
title: SH0210150.10FU

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/sh0210151.10fu
title: SH0210151.10FU

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/sh0210152.10fu
title: SH0210152.10FU

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/sh0210153.10fu
title: SH0210153.10FU

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/sh0210154.10fu
title: SH0210154.10FU

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.7devj4
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Darevskia brauneri (Méhely, 1909))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 378 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045157-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbh7zv
title: Occurrence Download

description: A dataset containing 71292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "TaxonKey is Dioscoreales"
 ]
}

 The dataset includes 71292 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075733-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4y958
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Iranolacerta brandtii (De Filippi, 1863))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045188-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzzcg3
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron trichanthum Rehder"
 ]
}

 The dataset includes 127 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnjfj2
title: Occurrence Download

description: A dataset containing 1403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hanleya hanleyi (W.Bean, 1844)"
 ]
}

 The dataset includes 1403 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075751-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrkwce
title: Occurrence Download

description: A dataset containing 827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Darevskia raddei (Boettger, 1892), Darevskia rudis (Bedriaga, 1886), Darevskia kamii Ahmadzadeh, Flecks, Carretero, Mozaffari, Böhme, Harris, Freitas & Rödder, 2013)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 827 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045179-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fzazs
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Draco caerulhians Lazell, 1992)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045195-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uce85c
title: Occurrence Download

description: A dataset containing 539892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is PRT.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 539892 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107210-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bg3dk
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalaenopsis pulcherrima (Lindl.) J.J.Sm.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgyats
title: Occurrence Download

description: A dataset containing 2433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sericocarpus linifolius (L.) Britton, Sterns & Poggenb."
 ]
}

 The dataset includes 2433 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045189-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksyn8u
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malletia cumingii (Hanley, 1860)"
 ]
}

 The dataset includes 33 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107203-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jubewn
title: Occurrence Download

description: A dataset containing 8716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Laurales"
 ]
}

 The dataset includes 8716 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045191-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajjuqf
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catocala duplicata Butler, 1885",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 487 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128397-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hfn2f
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Darevskia uzzelli (Darevsky & Danielyan, 1977))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045198-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chb38v
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malletia johnsoni A.H.Clarke, 1961"
 ]
}

 The dataset includes 483 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107211-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb3ajy
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilex verticillata (L.) A.Gray",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is unknown or invalid"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "Continent" : [
 "is North America"
 ]
 }
 }
 ]
}

 The dataset includes 708 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045236-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk5rvm
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Dendroctonus W.F.Erichson, 1836"
 ]
}

 The dataset includes 69 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042563-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddw39g
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euaugaptilus angustus (Sars G.O., 1905)"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118850-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dssr6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arenaria livermorensis Correll"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045218-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e49bt3
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia visco Lorentz ex Griseb."
 ]
}

 The dataset includes 197 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099794-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.