cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0168512.10fu
title: SH0168512.10FU

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/sh0168513.10fu
title: SH0168513.10FU

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/sh0168514.10fu
title: SH0168514.10FU

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/sh0168515.10fu
title: SH0168515.10FU

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.fegdjz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.54611800000001 20.665523, 75.471057 20.659947, 75.39786100000001 20.643356, 75.328345 20.616164, 75.264233 20.579044, 75.207111 20.532918, 75.158387 20.478928, 75.11926 20.418412, 75.090683 20.352865, 75.07335 20.283908, 75.067673 20.21324, 75.07377700000001 20.142605, 75.091494 20.073738, 75.12037599999999 20.008333, 75.1597 19.947995, 75.208491 19.894203, 75.265546 19.848274, 75.32946200000001 19.811333, 75.398672 19.784282, 75.471484 19.767783, 75.54611800000001 19.762238, 75.620752 19.767783, 75.69356399999999 19.784282, 75.76277399999999 19.811333, 75.82669 19.848274, 75.883745 19.894203, 75.932536 19.947995, 75.97186000000001 20.008333, 76.000742 20.073738, 76.01845899999999 20.142605, 76.024563 20.21324, 76.01888599999999 20.283908, 76.001553 20.352865, 75.972976 20.418412, 75.933849 20.478928, 75.885125 20.532918, 75.828003 20.579044, 75.763891 20.616164, 75.69437499999999 20.643356, 75.621179 20.659947, 75.54611800000001 20.665523))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001325-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0168516.10fu
title: SH0168516.10FU

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/sh0168517.10fu
title: SH0168517.10FU

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/sh0168518.10fu
title: SH0168518.10FU

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/sh0168519.10fu
title: SH0168519.10FU

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/sh0168520.10fu
title: SH0168520.10FU

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/sh0168521.10fu
title: SH0168521.10FU

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: 10.5517/ccdc.csd.cc2pcwfd
title: CCDC 2484074: Experimental Crystal Structure Determination

description: Related Article: Ernesto A. Hernández-Morales, Geraldyne Castro, Jan Blahut, Simon J. Teat, Mauricio Maldonado-Domínguez, Martin Dračínský, Braulio Rodríguez-Molina|2025|Chem.Mater.|||doi:10.1021/acs.chemmater.5c02409
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.ez6vhj
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/0011289-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v64pgd
title: Occurrence Download

description: A dataset containing 723002167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Year 2000-2023"
 ]
}

 The dataset includes 723002167 records from 2067 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278194-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/m10-a1p-mn7
title: Eugenia concinna Phil.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.vhm66g
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconops gracilis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 61 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004159-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18575379
title: Childhood Cancer Survivor Study and St. Jude Lifetime Cohort Dataset for Patient-Reported Symptoms in Predicting the Subsequent Progression of Chronic Health Conditions Among Childhood Cancer Survivors

description: The dataset contains variables from the Childhood Cancer Survivor Study and St. Jude Lifetime Cohort Study used in the study of patient-reported symptoms in predicting subsequent progression of chronic health conditions in adult survivors of childhood cancer. 

When using downloaded data, please cite this repository:



Horan MR, Liu, W, Wang M, et al. (2026). Childhood Cancer Survivor Study and St. Jude Lifetime Cohort dataset for patient-reported symptoms in predicting the subsequent progression of chronic health conditions among childhood cancer survivors (Version 1) [Data set]. 2026. Zenodo. http://doi.org/10.5281/zenodo.18575379


Funding:

The research reported in this manuscript was supported by the U.S. National Cancer Institute under award numbers R21CA202210, R01CA238368, R01CA258193, U01CA195547, and U24CA055727. The content is solely the responsibility of the authors and does not represent the official views of the funding agencies. Support for St. Jude Children’s Research Hospital was also provided by the Cancer Center Support (CORE) grant (CA21765, C. Roberts, Principal Investigator) and the American Lebanese-Syrian Associated Charities (ALSAC).
DOI: 10.5281/zenodo.18575378
title: Childhood Cancer Survivor Study and St. Jude Lifetime Cohort Dataset for Patient-Reported Symptoms in Predicting the Subsequent Progression of Chronic Health Conditions Among Childhood Cancer Survivors

description: The dataset contains variables from the Childhood Cancer Survivor Study and St. Jude Lifetime Cohort Study used in the study of patient-reported symptoms in predicting subsequent progression of chronic health conditions in adult survivors of childhood cancer. 

When using downloaded data, please cite this repository:



Horan MR, Liu, W, Wang M, et al. (2026). Childhood Cancer Survivor Study and St. Jude Lifetime Cohort dataset for patient-reported symptoms in predicting the subsequent progression of chronic health conditions among childhood cancer survivors (Version 1) [Data set]. 2026. Zenodo. http://doi.org/10.5281/zenodo.18575379


Funding:

The research reported in this manuscript was supported by the U.S. National Cancer Institute under award numbers R21CA202210, R01CA238368, R01CA258193, U01CA195547, and U24CA055727. The content is solely the responsibility of the authors and does not represent the official views of the funding agencies. Support for St. Jude Children’s Research Hospital was also provided by the Cancer Center Support (CORE) grant (CA21765, C. Roberts, Principal Investigator) and the American Lebanese-Syrian Associated Charities (ALSAC).
DOI: 10.15468/dl.tdhtan
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconops munduruku",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004163-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18552287
title: Raw Dataset used in Paper titled "Identification of a Tertiary Lymphoid Structure Signature for Predicting Tumor Outcomes through Transcriptomics Analysis"

description: This repository contains the TCGA and ICB cohorts' transcriptome and clinical data used in the paper titled “Identification of a Tertiary Lymphoid Structure Signature for Predicting Tumor Outcomes through Transcriptomics Analysis”.
DOI: 10.5281/zenodo.18552286
title: Raw Dataset used in Paper titled "Identification of a Tertiary Lymphoid Structure Signature for Predicting Tumor Outcomes through Transcriptomics Analysis"

description: This repository contains the TCGA and ICB cohorts' transcriptome and clinical data used in the paper titled “Identification of a Tertiary Lymphoid Structure Signature for Predicting Tumor Outcomes through Transcriptomics Analysis”.
DOI: 10.15468/dl.kh3hwu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconops piracolina",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004164-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/bfw-d0k-wqx
title: Caloplaca irrubescens var. disjecta J. Steiner

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/9f2-tdr-5qw
title: Ascocoryne striata (Ellis & Everh.) V. Kucera & Lizon

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ly9-l1f-w4k
title: Lithographa deplanata J. Steiner

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3886/e242726v1-198515
title: National Health Interview Survey (NHIS) - Mental Health Indicators

description: Data source description - Adults: NHIS monitors the health of the U.S. population by collecting and analyzing data on a broad range of health topics. Interviews are conducted continuously throughout the year, and are initiated in-person, with telephone follow-up. NHIS focuses on the health of children and adults in the United States. One adult household member is randomly selected to be the subject of a detailed health interview. If children are present, one child is also randomly selected. Adults answer on their own behalf, while a knowledgeable adult answers on behalf of the selected child. NHIS topics featured include adult life satisfaction, anxiety, depression, mental health conditions, mental health care, and social and emotional support.


Data source description - Teenagers: NHIS-Teen was a web-based health survey of teenagers between the ages of 12 to 17. Answers from teenagers helped paint a picture of the health of teenagers living in the United States.â€¯NHIS-Teen covered questions on a variety of health topics, including doctor visits, mental health, and social and emotional support. Data were collected between July 2021 and December 2023.â€¯


For additional information, please see: Mental Health Data Sources.
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description: (Downloaded 1/7/2026)
DOI: 10.15468/dl.8wyu5t
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryconops tocantinensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004165-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.