cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1379279.10fu
title: SH1379279.10FU

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/sh1379280.10fu
title: SH1379280.10FU

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/sh1379283.10fu
title: SH1379283.10FU

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/sh1379286.10fu
title: SH1379286.10FU

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: 10.21338/icosw2e02_0
title: ICOS Cities Wave 2 edition 2.0
DOI: 10.15156/bio/sh1379287.10fu
title: SH1379287.10FU

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/sh1379288.10fu
title: SH1379288.10FU

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.8ksjyq
title: Occurrence Download

description: A dataset containing 1068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "OccurrenceStatus is Present",
 "TaxonKey is Metasequoia Hu & W.C.Cheng"
 ]
}

 The dataset includes 1068 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001234-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.763hjf
title: Occurrence Download

description: A dataset containing 1287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "OccurrenceStatus is Present",
 "TaxonKey is Cercidiphyllum Siebold & Zucc."
 ]
}

 The dataset includes 1287 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001233-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6n3g6a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apodiformes",
 "HasCoordinate is true",
 "DatasetKey is 50c9509d-2e2a-454e-9a72-a097ed4c94b0",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001247-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mxusc4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caprimulgiformes",
 "HasCoordinate is true",
 "DatasetKey is 50c9509d-2e2a-454e-9a72-a097ed4c94b0",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001244-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6pnt4j
title: Occurrence Download

description: A dataset containing 2406 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Odonata Collection of Zoology Museum - Sapienza University"
 ]
}

 The dataset includes 2406 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001235-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15515859
title: Healthy Chicken Head

description: This dataset contains 1,000 images of chicken heads, each resized to 128x128 pixels. The dataset was collected for research on automated poultry health assessment and detection using computer vision techniques. Images are provided in PNG format (or JPG, etc.), organized in a compressed archive.
DOI: 10.15468/dl.rge3ry
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "TaxonKey is Rhincodon typus Smith, 1828"
 ]
}

 The dataset includes 117 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001236-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57707/fmi-b2share.6ab3cd7b06ce4c87885cc45880da3b05
title: Simulated data for the manuscript "Ensembles in Urban Large Eddy Simulations with Changing Wind Direction" By Keskinen and Hellsten

description: Output data from the simulations described in the manuscript "Ensembles in Urban Large Eddy Simulations with Changing Wind Direction" (accepted for publication in Boundary-Layer Meteorology). Time series, averaged 3D fields, and instantaneous 3D fields for both the staggered cube array and the realistic urban environment are provided. All data are simulated using PALM.
description: Different data is provided through different files, all downloadable using the given links. All data is provided as netCDF files compressed using tar and xz.

Two cases are available: 
1) staggered cube array, indicated by "RESPONSE-kuutiot/240/" in the file url.
2) realistic urban environment, indicated by "RESPONSE-v2/240K/" in the file url.

For both cases, files with different content is available using the following naming convention:
1) Time series data for all ensemble members, file name: "DATA_1D_TS_All.tar.xz".
2) Ensemble member are indicated with "/RUN[1-50]/" in the link url where [1-50] indicates the number of the ensemble member.
3) Instantaneous 3D data, indicated by "DATA_3D_NETCDF" in the file name.
4) Time-averaged 3D data, indicated by "DATA_3D_AV_NETCDF" in the file name.
5) For the case of realistic urban environment data, "_N03" indicates that data is from the innermost domain.
DOI: 10.15468/dl.8rbp4w
title: Occurrence Download

description: A dataset containing 995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Chinese Taipei)",
 "TaxonKey is Taraxacum mongolicum Hand.-Mazz."
 ]
}

 The dataset includes 995 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001237-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15512150
title: Wang Y et al. PATQUANT

description: This is a dataset of 283 images used for interobserver agreement study in the work:

"AI algorithm for lung adenocarcinoma pattern quantification (PATQUANT): International validation and advanced risk stratification superior to conventional grading" by Wang Y. et al.

These images were analysed by 13 pathologists and AI tool (PATQUANT).

The dataset includes:

1) Images of lung adenocarcinomas (conventional invasive non-mucinous adenocarcinoma, resection cases).

2) CSV files containing all evaluation results:

*Raw results with percentages of single pattern for each grader.

*Processed results with dominant and secondary pattern / image for each grader.

 

Pattern coding:

1- ACINAR

2- LEPIDIC  

3- SOLID    

4- MICROPAPILLARY    

5- PAPILLARY    

6- COMPLEX_GLANDULAR

 

3) Code used for training, test experiments, and WSI processing.

The detailed description of the code components is provided in code_description.txt

We do not provide trained checkpoints.

 

More details on composition of dataset, principles of analysis, and other aspects can be found in the publication:

[Publication DOI link - appears after publication]

 

This dataset for academic, non-commercial research only.

The original publication should be cited in case of using the dataset in further publications.
DOI: 10.5281/zenodo.15512151
title: Wang Y et al. PATQUANT

description: This is a dataset of 283 images used for interobserver agreement study in the work:

"AI algorithm for lung adenocarcinoma pattern quantification (PATQUANT): International validation and advanced risk stratification superior to conventional grading" by Wang Y. et al.

These images were analysed by 13 pathologists and AI tool (PATQUANT).

The dataset includes:

1) Images of lung adenocarcinomas (conventional invasive non-mucinous adenocarcinoma, resection cases).

2) CSV files containing all evaluation results:

*Raw results with percentages of single pattern for each grader.

*Processed results with dominant and secondary pattern / image for each grader.

 

Pattern coding:

1- ACINAR

2- LEPIDIC  

3- SOLID    

4- MICROPAPILLARY    

5- PAPILLARY    

6- COMPLEX_GLANDULAR

 

3) Code used for training, test experiments, and WSI processing.

The detailed description of the code components is provided in code_description.txt

We do not provide trained checkpoints.

 

More details on composition of dataset, principles of analysis, and other aspects can be found in the publication:

[Publication DOI link - appears after publication]

 

This dataset for academic, non-commercial research only.

The original publication should be cited in case of using the dataset in further publications.
DOI: 10.15468/dl.pa9yuz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caprimulgiformes",
 "HasCoordinate is true",
 "DatasetKey is 50c9509d-2e2a-454e-9a72-a097ed4c94b0",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001250-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gdc2aw
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is false",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)"
 ]
}

 The dataset includes 201 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001242-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8361
title: WRITE. New Forms of Calligraphy in Contemporary China. Dataset

description: The current dataset is associated with the Open Access publication “New Forms of Calligraphy in Contemporary China” (KERVAN - International Journal of African and Asiatic Studies, vol. 28 No. 2 2024, DOI https://doi.org/10.13135/1825-263X/11615). It collects the metadata descriptions of the main artworks analysed in the publication as formalised in the “WRITE digital archive”, that is the semantic web digital archive of the WRITE project (G.A. 949645). Each file contains the metadata related not only to the artwork(s) itself, but also to its author(s), Calli-Writing Unit(s) (CWU – artwork content unit with calligraphic features), and, if any, related exhibition(s), artwork(s), and literary work(s).The artworks were selected from a large number of works included in the archive as the most representative of the new forms of calligraphy emerged in contemporary China.
DOI: 10.15468/dl.39zq2n
title: Occurrence Download

description: A dataset containing 5454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana iguana (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 5454 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001240-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15516083
title: Results of coding by LLM of 1,050 research articles based on the AI Displacement (AID) scale

description: CSV file containing the coding by LLM of 1,050 research articles based on the AID scale, as defined in DOI 10.5281/zenodo.15515971.
DOI: 10.5281/zenodo.15516084
title: Results of coding by LLM of 1,050 research articles based on the AI Displacement (AID) scale

description: CSV file containing the coding by LLM of 1,050 research articles based on the AID scale, as defined in DOI 10.5281/zenodo.15515971.
DOI: 10.15468/dl.2uuktx
title: Occurrence Download

description: A dataset listing the 69506 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1980-2025"
 ]
}

 The dataset's 69506 records were derived from 19974 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001239-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/dzmnsz
title: MARA043_1.1.fq.gz

description: :unav
DOI: 10.57745/ql4wea
title: MARA040_1.2.fq.gz

description: :unav
DOI: 10.57745/ugc12i
title: MARA063_1.2.fq.gz

description: :unav
DOI: 10.57745/cm55q5
title: MARA039_1.2.fq.gz

description: :unav
DOI: 10.57745/zxdnsl
title: MARA060_2.2.fq.gz

description: :unav
DOI: 10.57745/xe2npn
title: MARA056_2.2.fq.gz

description: :unav
DOI: 10.57745/7ipker
title: MARA041_2.2.fq.gz

description: :unav
DOI: 10.57745/4h32or
title: MARA058_2.2.fq.gz

description: :unav
DOI: 10.57745/rrl1yf
title: MARA058_1.2.fq.gz

description: :unav
DOI: 10.57745/inuflo
title: MARA057_1.1.fq.gz

description: :unav
DOI: 10.57745/dn7dmf
title: MARA060_1.1.fq.gz

description: :unav
DOI: 10.57745/iwzeql
title: MEDEA04_1.1.fq.gz

description: :unav
DOI: 10.57745/4vi6ie
title: MEDEA24_2.2.fq.gz

description: :unav
DOI: 10.57745/p09or5
title: MEDEA08_1.2.fq.gz

description: :unav
DOI: 10.57745/p7mhhx
title: MEDEA08_2.1.fq.gz

description: :unav
DOI: 10.57745/5lomuq
title: MEDEA18_2.1.fq.gz

description: :unav
DOI: 10.57745/kngert
title: MEDEA28_1.1.fq.gz

description: :unav
DOI: 10.57745/a24te3
title: MEDEA25_1.1.fq.gz

description: :unav
DOI: 10.57745/j3d1bp
title: MEDEA12_1.2.fq.gz

description: :unav
DOI: 10.57745/2qfjgw
title: MEDEA_B_2.2.fq.gz

description: :unav
DOI: 10.57745/tnjqdb
title: MEDEA20_1.2.fq.gz

description: :unav
DOI: 10.57745/twgncb
title: MEDEA11_2.2.fq.gz

description: :unav
DOI: 10.15468/dl.bj9jph
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuphea odonellii"
 ]
}

 The dataset includes 368 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016196-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/zd97ly
title: MEDEA16_1.1.fq.gz

description: :unav
DOI: 10.57745/pivtu1
title: MEDEA13_1.2.fq.gz

description: :unav
DOI: 10.57745/yc36ow
title: MEDEA33_1.1.fq.gz

description: :unav
DOI: 10.57745/intqiz
title: MEDEA22_2.1.fq.gz

description: :unav
DOI: 10.57745/picbjq
title: MEDEA27_1.1.fq.gz

description: :unav
DOI: 10.57745/clsyjl
title: MEDEA32_1.1.fq.gz

description: :unav
DOI: 10.57745/xpzaly
title: MEDEA28_2.1.fq.gz

description: :unav
DOI: 10.57745/9isjjl
title: MEDEA32_1.2.fq.gz

description: :unav
DOI: 10.57745/uckl08
title: MEDEA19_2.2.fq.gz

description: :unav
DOI: 10.57745/nq8mlq
title: MEDEA01_1.1.fq.gz

description: :unav
DOI: 10.57745/xcrzww
title: MEDEA02_1.1.fq.gz

description: :unav
DOI: 10.57745/kvana8
title: MEDEA26_2.2.fq.gz

description: :unav
DOI: 10.57745/fh7xae
title: MEDEA18_1.1.fq.gz

description: :unav
DOI: 10.57745/k87ijj
title: MEDEA20_1.1.fq.gz

description: :unav
DOI: 10.57745/678itv
title: MEDEA_B_5.2.fq.gz

description: :unav
DOI: 10.57745/7901nj
title: MEDEA_B_1.1.fq.gz

description: :unav
DOI: 10.57745/usdxv1
title: MEDEA10_2.2.fq.gz

description: :unav
DOI: 10.57745/1mcmxl
title: MEDEA28_2.2.fq.gz

description: :unav
DOI: 10.57745/tkygh6
title: MEDEA10_2.1.fq.gz

description: :unav
DOI: 10.57745/epfqtp
title: MEDEA27_2.2.fq.gz

description: :unav
DOI: 10.57745/m1djk8
title: MEDEA24_1.2.fq.gz

description: :unav
DOI: 10.57745/v2gd0h
title: MEDEA26_1.2.fq.gz

description: :unav
DOI: 10.57745/t25hyu
title: MEDEA14_1.2.fq.gz

description: :unav
DOI: 10.57745/6wm447
title: MEDEA34_1.2.fq.gz

description: :unav
DOI: 10.57745/dl1q6h
title: MEDEA30_2.1.fq.gz

description: :unav
DOI: 10.57745/mj39yt
title: MEDEA20_2.2.fq.gz

description: :unav
DOI: 10.57745/wugwol
title: MEDEA16_2.1.fq.gz

description: :unav
DOI: 10.57745/pxf0dd
title: MEDEA06_2.2.fq.gz

description: :unav
DOI: 10.57745/uvkzsg
title: MEDEA15_1.1.fq.gz

description: :unav
DOI: 10.57745/elodne
title: MEDEA12_2.1.fq.gz

description: :unav
DOI: 10.57745/iufva9
title: MEDEA26_2.1.fq.gz

description: :unav
DOI: 10.57745/j4gcso
title: MEDEA23_2.2.fq.gz

description: :unav
DOI: 10.57745/myrzek
title: MEDEA24_2.1.fq.gz

description: :unav
DOI: 10.57745/rr6a3m
title: MEDEA22_2.2.fq.gz

description: :unav
DOI: 10.57745/il88jc
title: MEDEA_B_4.1.fq.gz

description: :unav
DOI: 10.57745/j56cro
title: MEDEA_B_4.2.fq.gz

description: :unav
DOI: 10.57745/x2hxm5
title: MEDEA03_1.1.fq.gz

description: :unav
DOI: 10.57745/0ibsiu
title: MEDEA26_1.1.fq.gz

description: :unav
DOI: 10.15468/dl.h5y8gj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD6582"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016197-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ziilzj
title: MEDEA_B_1.2.fq.gz

description: :unav
DOI: 10.57745/nb4ev4
title: MEDEA34_2.1.fq.gz

description: :unav
DOI: 10.57745/enjrpz
title: MEDEA14_1.1.fq.gz

description: :unav
DOI: 10.57745/xqybvt
title: MEDEA13_1.1.fq.gz

description: :unav
DOI: 10.57745/gr2tu8
title: MEDEA30_1.1.fq.gz

description: :unav
DOI: 10.57745/4utobm
title: MEDEA_B_5.1.fq.gz

description: :unav
DOI: 10.57745/c6yn95
title: MEDEA32_2.1.fq.gz

description: :unav