cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0156043.10fu
title: SH0156043.10FU

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/sh0156044.10fu
title: SH0156044.10FU

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.v28den
title: Occurrence Download

description: A dataset containing 817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sao Tome and Principe",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 817 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000837-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0156045.10fu
title: SH0156045.10FU

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/sh0156046.10fu
title: SH0156046.10FU

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/sh0156047.10fu
title: SH0156047.10FU

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/sh0156048.10fu
title: SH0156048.10FU

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/sh0156049.10fu
title: SH0156049.10FU

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/sh0156050.10fu
title: SH0156050.10FU

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: 10.57702/mip1cuk1
title: Open-vocabulary image segmentation

description: Open-vocabulary image segmentation explores how to recognize any categories at pixel level.
DOI: 10.57702/5lo44x5g
title: PathMNIST

description: PathMNIST is a medical imaging dataset containing 9,000 images of breast cancer tissue, each with a size of 224x224x3.
DOI: 10.57702/ocwm4nco
title: MDRC dataset

description: The dataset used in this study is the MDRC dataset, which contains data from experimental evaluations of changes in welfare-to-work programs during the early 1980s.
DOI: 10.57702/v9icbzyo
title: eICU Collaborative Research Database

description: The eICU Collaborative Research Database is a multi-center dataset collated from 208 care centers in the United States, available through PhysioNet. It comprises 200,859 patient unit encounters for 139,367 unique patients admitted to ICUs between 2014 and 2015.
DOI: 10.57702/rqktgtkd
title: Pandalm Dataset

description: The dataset used to train Pandalm, a generative safety evaluator for Chinese.
DOI: 10.7910/dvn/oebwvz
title: Replication Package for "Competition and Debt Conservatism

description: This is the replication package for the JFQA paper, titled "Competition and Debt Conservatism" by Seth Armitage and Woon Sau Leung (published online on 05 November 2025). 

This dataset contains three files: (1) a readme document, (2) a Stata .do file containing all codes used for cleaning each dataset, constructing and merging the data samples, and performing all analysis, and (3) a small pseudo (i.e., randomized and with firm ID masked) final sample.
DOI: 10.57702/z3u69ayb
title: UCF101 dataset

description: UCF101 dataset is used to test the proposed text-to-video model. The dataset contains 101 action categories, and each category has 10 videos. The videos are labeled with text descriptions.
DOI: 10.57702/extjl1ke
title: Pets

description: The dataset used in the paper to evaluate the effectiveness of the Unlearnable Clusters (UCs) technique.
DOI: 10.57702/4gt7xmc8
title: EuRoC

description: The EuRoC dataset is a collection of images taken by a drone in an industrial setting.
DOI: 10.57702/lemp71mo
title: PERCEPT-R audio Corpus

description: The PERCEPT-R audio Corpus is a collection of audio files of children and adults speaking American English.
DOI: 10.57702/6ilbd3tw
title: Twitter OOV Word Dataset

description: The dataset is a collection of Twitter tweets, filtered to include only English language tweets. The dataset is used to study out-of-vocabulary (OOV) words in Twitter.
DOI: 10.57702/nkoia07e
title: Hand Actions 3D

description: A dataset of synthetic images of hands performing various actions.
DOI: 10.57702/jiaumbuk
title: Physics-Model-Based Deep Neural Networks

description: The Phy-Taylor framework proposes a physics-model-based deep neural network framework that addresses the challenge of purely data-driven deep DNNs facing the violation of inferred relations with physics laws.
DOI: 10.57702/ioasaeo1
title: African Swine Fever in Wild Boar

description: African swine fever case data and its separation into clusters.
DOI: 10.6084/m9.figshare.31017988
title: Database, R Code and Supplementary material for Article: Gabriel Barco; Ezequiel Vivas; Adrian Díaz; David L. Vergara-Tabares. "FROM SALTWATER TO LAND: BIRD ASSEMBLAGES AND NEW RECORDS IN THE SOUTHERN ANSENUZA WETLAND"

description: This study updates the known bird communities of the southern region of the Río Dulce and Mar de Ansenuza wetlands, analyzes the assembly and composition of bird communities in different environments, and presents evidence of new bird species in the region.This work was supported by the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health (grant number R01AI183506).
DOI: 10.6084/m9.figshare.31017988.v1
title: Database, R Code and Supplementary material for Article: Gabriel Barco; Ezequiel Vivas; Adrian Díaz; David L. Vergara-Tabares. "FROM SALTWATER TO LAND: BIRD ASSEMBLAGES AND NEW RECORDS IN THE SOUTHERN ANSENUZA WETLAND"

description: This study updates the known bird communities of the southern region of the Río Dulce and Mar de Ansenuza wetlands, analyzes the assembly and composition of bird communities in different environments, and presents evidence of new bird species in the region.This work was supported by the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health (grant number R01AI183506).
DOI: 10.57702/0ihelmnb
title: Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation

description: A method for LiDAR 3D point-cloud semantic segmentation exploiting perceptual information from RGB images and spatial-depth information from point clouds.
DOI: 10.57702/v2f82434
title: CTR Prediction Models

description: The dataset used in this paper is a real-world online sponsor advertising application, containing user click history logs from Baidu’s search engine.
DOI: 10.57702/je1kn2jp
title: AQUALOC

description: A benchmark dataset for testing the proposed VDN-NeRF method.
DOI: 10.57702/2oi0k9hs
title: Airport dataset

description: The Airport dataset comprises 500 nodes representing the busiest airports in the United States, with edges weighted by the number of passengers traveling from one airport to another.
DOI: 10.57702/bdrlr0ta
title: WirelessLLM

description: The WirelessLLM dataset contains questions and answers about wireless communication systems, focusing on questions with a single entity and relation.
DOI: 10.57702/juyn1v60
title: Various Machine Translation datasets

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various datasets for machine translation tasks.
DOI: 10.57702/lb7eaaob
title: Domestic violence data

description: Domestic violence data from the city of Chicago, including crime incidents and census data.
DOI: 10.57702/hkk9l9uu
title: CODA

description: The CODA dataset is a real-world road corner case dataset for object detection in autonomous driving.
DOI: 10.57702/p11hhm83
title: CW-Hard

description: The dataset contains 280,538 POV-tagged statements from Wikipedia revisions.
DOI: 10.5281/zenodo.18210532
title: Supplemental Data for "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants"

description: This dataset contains the following supplemental data associated with the manuscript "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants":



whole genome sequencing data of fgtA (CW1, CW2) and wbpL (CW5, CW8) deletion mutants

CLSM imaging data of all analyzed strains
DOI: 10.5281/zenodo.18210533
title: Supplemental Data for "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants"

description: This dataset contains the following supplemental data associated with the manuscript "Revisiting protein glycosylation in Pseudomonas aeruginosa reveals distinct phenotypes in motility and biofilm formation for different O-glycosylation pathway mutants":



whole genome sequencing data of fgtA (CW1, CW2) and wbpL (CW5, CW8) deletion mutants

CLSM imaging data of all analyzed strains
DOI: 10.15468/dl.pcvf65
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trapa incisa"
 ]
}

 The dataset includes 55 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002837-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udcmjy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Verbena litoralis",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007905-251009101135966/datasets/export for details.
DOI: 10.5281/zenodo.11623274
title: Development of ferret immune repertoire reference resources and single-cell-based high- throughput profiling assays

description: We performed long read transcriptome sequencing of ferret splenocyte and lymph node samples full-length, non-chimeric circular consensus sequencing (CCS) reads to obtain over 120,000 high-quality immunoglobin (Ig) and T cell receptor (TCR) transcripts.
description: Organism, tissue, replicate number, index number or character, and FLNC is the structure of the fastq.gz files. Colonic Lymph nodes, Cranial Lymph nodes, and Splenocytes are denoted as CLN, CLMN, and SPL respectively.

UDEL iso-seq data are included for supporting evidence but were not used to identify transcripts (i.e. VDJ sequences) due to low sequencing quality. UDEL_8-5-20_primer_IG.fasta contains ferret splenocyte sequencing (three individual ferrets) and UDEL_6-12-20_IG.fasta contains ferret lymph node sequencing (8 -12 samples). All ferrets were female and 4-6 months in age.
DOI: 10.5281/zenodo.7897325
title: Development of ferret immune repertoire reference resources and single-cell-based high- throughput profiling assays

description: We performed long read transcriptome sequencing of ferret splenocyte and lymph node samples full-length, non-chimeric circular consensus sequencing (CCS) reads to obtain over 120,000 high-quality immunoglobin (Ig) and T cell receptor (TCR) transcripts.
description: Organism, tissue, replicate number, index number or character, and FLNC is the structure of the fastq.gz files. Colonic Lymph nodes, Cranial Lymph nodes, and Splenocytes are denoted as CLN, CLMN, and SPL respectively.

UDEL iso-seq data are included for supporting evidence but were not used to identify transcripts (i.e. VDJ sequences) due to low sequencing quality. UDEL_8-5-20_primer_IG.fasta contains ferret splenocyte sequencing (three individual ferrets) and UDEL_6-12-20_IG.fasta contains ferret lymph node sequencing (8 -12 samples). All ferrets were female and 4-6 months in age.
DOI: 10.15468/dl.n5v2mj
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006246-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11065080
title: Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war

description: This repository contains the necessary data and code used to support major results and findings of the research on "Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war". It encompasses:

1. The generated 10-m crop type map of Ukraine in 20202. Validation sample sets for crop type and planting condition3. Python and JavaScript code for reproducing main figures and tables in the manuscript, including sample-based area estimation, economic loss calculation, NDVI difference computation, and regression analysis

For more information, please refer to our accompanying paper:

Bin Chen, Ying Tu, Jiafu An, Shengbiao Wu, Chen Lin, and Peng Gong. "Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war". Communications Earth & Environment (2024).
DOI: 10.5281/zenodo.11065079
title: Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war

description: This repository contains the necessary data and code used to support major results and findings of the research on "Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war". It encompasses:

1. The generated 10-m crop type map of Ukraine in 20202. Validation sample sets for crop type and planting condition3. Python and JavaScript code for reproducing main figures and tables in the manuscript, including sample-based area estimation, economic loss calculation, NDVI difference computation, and regression analysis

For more information, please refer to our accompanying paper:

Bin Chen, Ying Tu, Jiafu An, Shengbiao Wu, Chen Lin, and Peng Gong. "Quantification of losses in agriculture production in eastern Ukraine due to the Russia-Ukraine war". Communications Earth & Environment (2024).
DOI: 10.5281/zenodo.11280149
title: Dataset: The impact of UKRI funded research on policy

description: Publications Dataset used in the study "The Impact of UKRI Research Councils Funded Research on Policy: An Explorative Analysis". The data were collected during the first week of March 2024.
DOI: 10.5281/zenodo.11624817
title: Dataset: The impact of UKRI funded research on policy

description: Publications Dataset used in the study "The Impact of UKRI Research Councils Funded Research on Policy: An Explorative Analysis". The data were collected during the first week of March 2024.
DOI: 10.15468/dl.b6js33
title: Occurrence Download

description: A dataset containing 782279024 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 782279024 records from 16862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000626-170627171947987/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.