cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1085200.10fu
title: SH1085200.10FU

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/sh1085203.10fu
title: SH1085203.10FU

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/sh1085206.10fu
title: SH1085206.10FU

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/sh1085207.10fu
title: SH1085207.10FU

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/sh1085210.10fu
title: SH1085210.10FU

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/sh1085212.10fu
title: SH1085212.10FU

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/sh1085213.10fu
title: SH1085213.10FU

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: 10.25345/c5b27q42d
title: MassIVE MSV000098387 - Systematic evaluation of analytical methods for CSF proteomics
title: Mass spectrometry based proteomics data from cerebrospinal fluid samples, systematically comparing MStern, Seer, N-glycopeptide capture (N-Gp), and two extracellular vesicle fractions (P20-EV and P150-EV)
DOI: 10.5281/zenodo.15693438
title: Type 2 diabetes polygenic risk score demonstrates context-dependent effects and associations with type 2 diabetes-related risk factors and complications across diverse populations

description: Polygenic risk scores (PRS) hold prognostic value for identifying individuals at higher risk of type 2 diabetes (T2D). However, further characterization is needed to understand the generalizability of T2D PRS in diverse populations across various contexts. We characterized a multi-ancestry T2D PRS among 244,637 cases and 637,891 controls across eight populations from the Population Architecture Genomics and Epidemiology (PAGE) Study and 13 additional biobanks and cohorts. PRS performance was context dependent, with better performance in those who were younger, male, with a family history of T2D, without hypertension, and not obese or overweight. Additionally, the PRS was associated with various diabetes-related cardiometabolic traits and T2D complications, suggesting its utility for stratifying risk of complications and identifying shared genetic architecture between T2D and other diseases. These findings highlight the need to account for context when evaluating PRS as a tool for T2D risk prognostication and potentially generalizable associations of T2D PRS with diabetes-related traits despite differential performance in T2D prediction across diverse populations.

Here, we provide the full T2D PRS PheWAS results meta-analyzed across all populations and by population, and PheWAS results in each of the five biobanks: the Icahn School of Medicine at Mount Sinai BioMe biobank in New York City (BioMe), BioVU Biobank (BioVU), Colorado Center for Personalized Medicine Biobank (CCPM), Million Veteran Program (MVP), and Michigan Genomics Initiative (MGI).

Utilizing the PheWAS R package, we ran logistic regression models to assess PRS-phenotype associations, adjusting for age, sex, BMI, and the first ten PCs. For the mapping of the International Classification of Diseases (ICD) 9 and ICD-10 codes to phecodes, we utilized phecodes version 1.2 for ICD-9-CM and the 2018 beta version of ICD-10-CM. Cases were considered valid if they had a minimum phecode count of two. Only phecodes with at least 10 cases were considered. A total of 1,815 unique phenotypes across 17 disease categories were tested across the five biobanks, with 1,777, 1,171, 1,813, and 1,695 phenotypes available in AFR, ASN, EUR, and HIS populations, respectively. Any values smaller than the smallest non-zero value that R can represent are denoted as  5.0E-324.
DOI: 10.15468/dl.v7k4ww
title: Occurrence Download

description: A dataset containing 9572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9572 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081968-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz94jr
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 145 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081970-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mxuch
title: Occurrence Download

description: A dataset containing 25542 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum Marshall"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 24.1271113347408",
 "DecimalLatitude is less than or equal to 56.572699215132005",
 "DecimalLongitude is greater than or equal to -89.31544323258166",
 "DecimalLongitude is less than or equal to -51.73636965516586",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25542 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081969-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15777585
title: Demo Xenium Dataset (slim)

description: A small subset of Xenium bundle files for analysis demo. No transcripts or high resolution images are included.
DOI: 10.5281/zenodo.15777586
title: Demo Xenium Dataset (slim)

description: A small subset of Xenium bundle files for analysis demo. No transcripts or high resolution images are included.
DOI: 10.15468/dl.pxf292
title: Occurrence Download

description: A dataset containing 3064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3064 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081971-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.6873c286
title: 03_artefatto_agrinion_0004
title: 4.0

description: 1.0
description: Source: Socal, Michela
description: Provenance: Agrinio
description: Provenance: Museo Archeologico
description: modified: 43165.0
DOI: 10.34847/nkl.68771c25
title: 01_ESTAMP_THASOS_00013
title: Estampage n. 00013

description: Source: Sève, Michel
description: Provenance: Grèce
DOI: 10.34847/nkl.68794p3m
title: Detailed dataset description xlsx
DOI: 10.15468/dl.mg3puj
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus glaucescens Bonpl."
 ]
}

 The dataset includes 496 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081972-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec72bk
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 402 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081974-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzyt9r
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 148 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081973-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9dmua
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of North Texas Elm Fork Insect Collection",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset's 9 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj68ay
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus grahamii Benth."
 ]
}

 The dataset includes 308 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081975-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hrmzj
title: Occurrence Download

description: A dataset containing 4255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus grisea Liebm."
 ]
}

 The dataset includes 4255 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081977-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dev7ph
title: Occurrence Download

description: A dataset containing 1668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pelecanus crispus Bruch, 1832"
 ]
}

 The dataset includes 1668 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081976-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.655htg
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Moldova, Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081979-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qprjk
title: Occurrence Download

description: A dataset containing 9853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhyacophila dorsalis (Curtis, 1834)",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9853 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081978-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34vapn
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is North Macedonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081981-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whf89z
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Montenegro",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081980-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.689bnh46
title: ar_TUN_babnet

description: Data extracted from MediaCloud
DOI: 10.15468/dl.zp5z25
title: Occurrence Download

description: A dataset containing 11270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola riviniana Rchb.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11270 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081982-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etftfm
title: Occurrence Download

description: A dataset containing 27021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27021 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081983-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15724852
title: Curiosity driven learning using band excitation piezo-response spectroscopy (BEPS) data on lead titanate (PTO) samples.

description: This is the experimental data involving band excitation piezoresponse spectroscopy (BEPS) of lead titanate (PTO) samples. This data was acquired using band excitation piezoresponse force microscopy (BE-PFM). We use this data on curiosity driven algorithms to explore structure-spectral relationships using scanning probe microscopy.

Further details are available in the publication: Aditya Vatsavai, Ganesh Narasimha, Yongtao Liu, Jawad Chowdury, Jan-Chi Yang, Hiroshu Funakubo, Maxim Ziatdinov, and Rama Vasudevan. "Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy." RSC Digitial Discovery (2025). 

A preprint version of the same is available at: Vatsavai, Aditya, et al. "Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy." arXiv preprint arXiv:2504.20011 (2025).

The code and the notebooks used for model training and analysis can be found in the repository: github.com/cylindrical-penguin/Curiosity-Driven-RL-for-PFM.
DOI: 10.5281/zenodo.15777800
title: Curiosity driven learning using band excitation piezo-response spectroscopy (BEPS) data on lead titanate (PTO) samples.

description: This is the experimental data involving band excitation piezoresponse spectroscopy (BEPS) of lead titanate (PTO) samples. This data was acquired using band excitation piezoresponse force microscopy (BE-PFM). We use this data on curiosity driven algorithms to explore structure-spectral relationships using scanning probe microscopy.

Further details are available in the publication: Aditya Vatsavai, Ganesh Narasimha, Yongtao Liu, Jawad Chowdury, Jan-Chi Yang, Hiroshu Funakubo, Maxim Ziatdinov, and Rama Vasudevan. "Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy." RSC Digitial Discovery (2025). 

A preprint version of the same is available at: Vatsavai, Aditya, et al. "Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy." arXiv preprint arXiv:2504.20011 (2025).

The code and the notebooks used for model training and analysis can be found in the repository: github.com/cylindrical-penguin/Curiosity-Driven-RL-for-PFM.