cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0155445.10fu
title: SH0155445.10FU

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/sh0155446.10fu
title: SH0155446.10FU

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/sh0155447.10fu
title: SH0155447.10FU

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/sh0155448.10fu
title: SH0155448.10FU

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/sh0155449.10fu
title: SH0155449.10FU

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/sh0155450.10fu
title: SH0155450.10FU

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/sh0155451.10fu
title: SH0155451.10FU

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/sh0155452.10fu
title: SH0155452.10FU

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/sh0155453.10fu
title: SH0155453.10FU

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/sh0155454.10fu
title: SH0155454.10FU

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: 10.25549/inscriptifact-ouc112041183
title: Cuneiform Tablet 1913.14.1719, Spurlock 1913.14.1719

description: [Text Description:] Receipt of sheep for offerings ❧ [Text or Publication Number Note:] Spurlock 1913.14.1719; CDLI P421570 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Dark Gray (N 3.5/ 7.7% R) Yellowish Gray (10YR 8.5/2) ❧ [Physical Object Note:] 3.3 x 2.3 x 1.4 cm (11 g)
DOI: 10.15468/dl.uqfrxw
title: Occurrence Download

description: A dataset containing 2330691 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emberiza citrinella Linnaeus, 1758"
 ]
}

 The dataset includes 2330691 records from 2281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0407169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/43451
title: Chandra X-ray Observatory ObsId 43451
DOI: 10.25574/43460
title: Chandra X-ray Observatory ObsId 43460
DOI: 10.5281/zenodo.17484078
title: Chapter 4 - Mineral Chemistry
DOI: 10.5281/zenodo.17484077
title: Chapter 4 - Mineral Chemistry
DOI: 10.15468/dl.wxhut7
title: Occurrence Download

description: A dataset containing 16549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnus alburnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 1989"
 ]
}

 The dataset includes 16549 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080651-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/i5850be8
title: Strategy games

description: Strategy games
DOI: 10.57702/9t8gmb6n
title: Uber Dataset

description: The dataset used in this paper is a real-world dataset from Uber, containing 4.5 million Uber pickups in New York City from April to September 2014, and 14.3 million Uber pickups from January to June 2015.
DOI: 10.57702/0burtq66
title: Collision Prediction from UWB Range Measurements

description: The dataset used for collision prediction from UWB range measurements
DOI: 10.57702/ep0b5v4a
title: SAPIEN

description: A dataset for view synthesis, part segmentation, and articulated pose estimation of articulated objects.
DOI: 10.57702/y3gmvxi2
title: PARRY

description: A chatbot designed by Colby et al. to imitate aggressive emotions.
DOI: 10.57702/elu1yt1x
title: Mallows Noise Model

description: The dataset used in the paper is a Mallows noise model, which represents the grading behaviour of students in a massive open online course.
DOI: 10.57702/eibgp0mr
title: Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition

description: Skeleton-based action recognition has recently made significant progress. However, data imbalance is still a great challenge in real-world scenarios. The performance of current action recognition algorithms declines sharply when training data suffers from heavy class imbalance. The imbalanced data actually degrades the representations learned by these methods and becomes the bottleneck for action recognition. How to learn unbiased representations from imbalanced action data is the key to long-tailed action recognition.
DOI: 10.15468/dl.h4weba
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bangladesh",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080138-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/8fa7pjyg
title: FSOD

description: FSOD is a benchmark for object-level image retrieval, containing 14K images from 200 categories.
DOI: 10.57702/s0qmgkis
title: Janelia MouseLight project

description: Cellular data from the Janelia MouseLight project to characterize morphological aspects of neurons.
DOI: 10.57702/uu9jd92k
title: Visual Instruction Generation

description: The dataset used in the paper for visual instruction generation, containing 200 goals and instructions for various tasks.
DOI: 10.57702/52pdoqzt
title: Synthetic data for Hes1 genetic oscillator

description: A dataset of synthetic data generated from a stochastic model of the Hes1 genetic oscillator.
DOI: 10.57702/0wcugcwc
title: English-Chinese Books

description: High-quality human translations from books, leveraging the induction bias that high-quality human translations are superior to machine-generated translations.
DOI: 10.57702/5ude0042
title: iWildCam 2018 Challenge Dataset

description: The iWildCam 2018 Challenge Dataset is a collection of images of animals taken by camera traps.
DOI: 10.5517/ccdc.csd.cc1p8425
title: CCDC 1556946: Experimental Crystal Structure Determination

description: Related Article: K. Boopathi, A. Suvitha, R. Jagan, P. Ramasamy|2025|Inorg.Chem.Commun.|172|113620|doi:10.1016/j.inoche.2024.113620
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57702/b36i795n
title: LXMERT

description: The LXMERT dataset is used for visual question answering task. It uses pre-trained weights provided by Tan and Bansal (2019) and fine-tunes it with adaptive approaches mentioned in the paper.
DOI: 10.5517/ccdc.csd.cc2ldbgt
title: CCDC 2395136: Experimental Crystal Structure Determination

description: Related Article: Ning Li, Si‐Yu Du, Cheng‐Yu Hou, Zuo‐Peng Li, Jian‐Hong Xi, Lei Zhang, Guo‐Xin Zhai, Su‐Fang Zhang, Hong‐Fang Ma, Yu‐Heng Liu, Peng Fei, Yi‐Qing Wang, Yu‐Jia Zhai, Xia Jin|2025|Appl.Organomet.Chem.|39|e70447|doi:10.1002/aoc.70447
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.xpmb82
title: Occurrence Download

description: A dataset containing 872683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "IucnRedListCategory is one of (NT, VU, EN, CR)",
 "OccurrenceStatus is Present",
 "StartDayOfYear 1-366",
 "StateProvince is Oregon",
 "Year 1820-2026"
 ]
}

 The dataset includes 872683 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7py34
title: Occurrence Download

description: A dataset containing 1667 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peromyscus megalops Merriam, 1898"
 ]
}

 The dataset includes 1667 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143099-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ss9nqs
title: Occurrence Download

description: A dataset containing 66376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (164689634, 205946468, Adelidae, 205787631, Adelidae, Adelidae, Adelidae, Adelidae, Adelidae, 205646437, 206008834, 204819945, Adelidae, Adelidae, 204984414, Adelidae, Adelidae, 157970447, 205901850, 205659934, 205198353, 206232212, 205950667, 205973891, Adelidae, 204384483, 203600818, Adelidae, Adelidae, Adelidae, Adelidae, 199481782, Adelidae, Adelidae, 205850527, 205885977, Adelidae, Adelidae Bruand, 1851, Adelidae Bruand, 1850, Adelidae Bruand, 1851, Adelidae Bruand, 1851, 124329631, Adelidae Bruand, 1850, 161505024, Prodoxidae Zeller, 1873, Prodoxidae Riley, 1881, Micropterigidae Herrich-Schäffer, 1855, Nemophoridae, 203140770)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66376 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216499-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.14343
title: An Interview About The History And Political And Social Structure of Bakau (NCAC_RDD_TAPE_0406_I_A_B)

description: Quality of audio not very good


 Bakau
 History
 Political and social structure
 Marriage procedures


<em><sup>Alternative names: Suwareh, Alhagi, Alhagie, Alhajie, Jammeh, Sidibeh, Bakay, Bakai, Bakery, Kebba</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.14344
title: An Interview About The History And Political And Social Structure of Bakau (NCAC_RDD_TAPE_0406_I_A_B)

description: Quality of audio not very good


 Bakau
 History
 Political and social structure
 Marriage procedures


<em><sup>Alternative names: Suwareh, Alhagi, Alhagie, Alhajie, Jammeh, Sidibeh, Bakay, Bakai, Bakery, Kebba</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.7jb28d
title: Occurrence Download

description: A dataset containing 25099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias tuberosa L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25099 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095779-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjvzct
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thelypodium wrightii A.Gray"
 ]
}

 The dataset includes 728 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150308-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqb7d8
title: Occurrence Download

description: A dataset containing 326588 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "Year 2016-2022",
 "GadmGid is one of (USA.10_1)",
 "TaxonKey is one of (Egretta tricolor (Statius Muller, 1776))"
 ]
 }
 ]
}

 The dataset includes 326588 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237331-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afkz42
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Diphylla ecaudata Spix, 1823"
 ]
}

 The dataset includes 1249 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143194-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.