cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1197065.10fu
title: SH1197065.10FU

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/sh1197067.10fu
title: SH1197067.10FU

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/sh1197068.10fu
title: SH1197068.10FU

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/sh1197069.10fu
title: SH1197069.10FU

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/sh1197070.10fu
title: SH1197070.10FU

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.5fxbpb
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gironniera parvifolia Planch.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033596-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chxhnm
title: Occurrence Download

description: A dataset containing 401150 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "not" : {
 "PublishingCountry" : [
 "is Norway"
 ]
 }
 },
 "Country is Svalbard and Jan Mayen"
 ]
}

 The dataset includes 401150 records from 721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065835-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69ug55
title: Occurrence Download

description: A dataset containing 1944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon hirtipes (Wagler, 1830)"
 ]
}

 The dataset includes 1944 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123174-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb6tsv
title: Occurrence Download

description: A dataset containing 74709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gentiana lutea L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 74709 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033473-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkpdae
title: Occurrence Download

description: A dataset containing 932 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippocampus trimaculatus Leach, 1814"
 ]
}

 The dataset includes 932 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033565-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9ev5h
title: Occurrence Download

description: A dataset containing 634257 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario Español de Especies Terrestres (MAGRAMA)"
 ]
}

 The dataset includes 634257 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098480-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pe9p2
title: Occurrence Download

description: A dataset containing 1158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus arctos Linnaeus, 1758"
 ]
}

 The dataset includes 1158 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016505-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgjyu3
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((44.22790 -22.14823,217.77210 -22.14823,217.77210 47.14823,44.22790 47.14823,44.22790 -22.14823))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Collabium Blume"
 ]
}

 The dataset includes 114 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162505-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a86bgs
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis petersii Bocourt, 1873",
 "Year 1952-2022"
 ]
}

 The dataset includes 51 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033474-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6jaq7
title: Occurrence Download

description: A dataset containing 9249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus palustris Gaudin",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9249 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033597-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9346r9
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hyla andersonii Baird, 1854"
 ]
}

 The dataset includes 241 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123193-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysas2x
title: Occurrence Download

description: A dataset containing 632610 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 632610 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033598-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twvhhz
title: Occurrence Download

description: A dataset containing 9464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Delphinapterus leucas (Pallas, 1776)"
 ]
}

 The dataset includes 9464 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118610-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmt4ad
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plecotus balensis Kruskop & Lavrenchenko, 2000"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033616-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5nq427
title: Occurrence Download

description: A dataset containing 4076 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon scorpioides (Linnaeus, 1766)"
 ]
}

 The dataset includes 4076 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123179-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emk2nh
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gentiana septemfida Pall.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 625 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033482-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq4qm5
title: Occurrence Download

description: A dataset containing 11332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geum canadense Jacq.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11332 records from 426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033567-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15999.27040/1
title: 6 Key Features of Classical Pavlovian Conditioning
DOI: 10.5281/zenodo.17869519
title: Enhanced Suite of Probabilistic Models for Benchmarking Agentic Debugging Frameworks in Probabilistic Inference

description: This manuscript extends prior work on the Reactive Oxygen Species (ROS) stochastic differential equation (SDE) model (Models 1--3) by presenting four additional probabilistic models implemented in PyMC v5.25.0+. These models form a rigorous benchmark suite for evaluating agentic debugging frameworks in probabilistic programming, with escalating inferential complexity. Rooted in biological aging, the suite comprises: (1) Gaussian Process (GP) regression with hyperparameter optimization for non-parametric covariance estimation in biological variability \cite{riihimaki2010}; (2) Hidden Markov Model (HMM) for sequential latent state inference in regime shifts, modeling cellular transitions \cite{munozgil2023}; (3) non-linear SDE for telomere attrition with multiplicative noise, extending linear models for shortening variability \cite{wattis2020}; and (4) Bayesian hierarchical model for epigenetic age acceleration, incorporating latent methylation transitions and senescence thresholds \cite{lu2019}.Each model includes reproducible data generation, PyMC implementations using No-U-Turn Sampler (NUTS) for Hamiltonian Monte Carlo (HMC) inference, and reference posteriors from \( N=10^6 \) draws (ESS \( >10^5 \), \( \hat{R} < 1.001 \)). Mathematical derivations are original, grounded in aging biology, ensuring novelty—exhaustive arXiv and PubMed searches confirm no prior GP-HMM-SDE-epigenetic integration for telomere-senescence benchmarking in agentic contexts \cite{riihimaki2010, munozgil2023, olofsson1999, lu2019}. Diagnostics from \( N=500 \) draws per chain (500 tuning) show convergence (ESS \( \gtrsim 400 \); \( \hat{R} \lesssim 1.005 \)), validated by simulation-based calibration (SBC: uniform ranks, KS \( D < 0.05 \), \( p \in [0.05, 0.95] \) over 1000 replications) and prior sensitivity (posterior mean shifts \( <3\% \)).The suite features derivations, Stan cross-validations, PGFPlots diagnostics, comparisons, and benchmarks (inference \( <25 \) s on AMD EPYC 7543 for \( N=500 \), scalable via Dask). Calibration to longitudinal datasets \cite{aviv2018, horvath2013} ensures fidelity, SBC posteriors minimize biases. This framework tests agentic performance in non-conjugate, high-dimensional inference with statistical rigor.
DOI: 10.5281/zenodo.18184917
title: Enhanced Suite of Probabilistic Models for Benchmarking Agentic Debugging Frameworks in Probabilistic Inference

description: This manuscript extends prior work on the Reactive Oxygen Species (ROS) stochastic differential equation (SDE) model (Models 1--3) by presenting four additional probabilistic models implemented in PyMC v5.25.0+. These models form a rigorous benchmark suite for evaluating agentic debugging frameworks in probabilistic programming, with escalating inferential complexity. Rooted in biological aging, the suite comprises: (1) Gaussian Process (GP) regression with hyperparameter optimization for non-parametric covariance estimation in biological variability \cite{riihimaki2010}; (2) Hidden Markov Model (HMM) for sequential latent state inference in regime shifts, modeling cellular transitions \cite{munozgil2023}; (3) non-linear SDE for telomere attrition with multiplicative noise, extending linear models for shortening variability \cite{wattis2020}; and (4) Bayesian hierarchical model for epigenetic age acceleration, incorporating latent methylation transitions and senescence thresholds \cite{lu2019}.Each model includes reproducible data generation, PyMC implementations using No-U-Turn Sampler (NUTS) for Hamiltonian Monte Carlo (HMC) inference, and reference posteriors from \( N=10^6 \) draws (ESS \( >10^5 \), \( \hat{R} < 1.001 \)). Mathematical derivations are original, grounded in aging biology, ensuring novelty—exhaustive arXiv and PubMed searches confirm no prior GP-HMM-SDE-epigenetic integration for telomere-senescence benchmarking in agentic contexts \cite{riihimaki2010, munozgil2023, olofsson1999, lu2019}. Diagnostics from \( N=500 \) draws per chain (500 tuning) show convergence (ESS \( \gtrsim 400 \); \( \hat{R} \lesssim 1.005 \)), validated by simulation-based calibration (SBC: uniform ranks, KS \( D < 0.05 \), \( p \in [0.05, 0.95] \) over 1000 replications) and prior sensitivity (posterior mean shifts \( <3\% \)).The suite features derivations, Stan cross-validations, PGFPlots diagnostics, comparisons, and benchmarks (inference \( <25 \) s on AMD EPYC 7543 for \( N=500 \), scalable via Dask). Calibration to longitudinal datasets \cite{aviv2018, horvath2013} ensures fidelity, SBC posteriors minimize biases. This framework tests agentic performance in non-conjugate, high-dimensional inference with statistical rigor.
DOI: 10.5517/ccdc.csd.cc288nz6
title: CCDC 2093708: Experimental Crystal Structure Determination

description: Related Article: Huangjun Deng, Zhan Yang, Gaoyu Li, Dongyu Ma, Zongliang Xie, Wenlang Li, Zhu Mao, Juan Zhao, Zhiyong Yang, Yi Zhang, Zhenguo Chi|2022|Chem.Eng.Journal|438|135519|doi:10.1016/j.cej.2022.135519
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: 10.5517/ccdc.csd.cc288p08
title: CCDC 2093709: Experimental Crystal Structure Determination

description: Related Article: Huangjun Deng, Zhan Yang, Gaoyu Li, Dongyu Ma, Zongliang Xie, Wenlang Li, Zhu Mao, Juan Zhao, Zhiyong Yang, Yi Zhang, Zhenguo Chi|2022|Chem.Eng.Journal|438|135519|doi:10.1016/j.cej.2022.135519
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: 10.5517/ccdc.csd.cc288p19
title: CCDC 2093710: Experimental Crystal Structure Determination

description: Related Article: Huangjun Deng, Zhan Yang, Gaoyu Li, Dongyu Ma, Zongliang Xie, Wenlang Li, Zhu Mao, Juan Zhao, Zhiyong Yang, Yi Zhang, Zhenguo Chi|2022|Chem.Eng.Journal|438|135519|doi:10.1016/j.cej.2022.135519
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: 10.5517/ccdc.csd.cc2f7n4h
title: CCDC 2241676: Experimental Crystal Structure Determination

description: Related Article: Shun Irii, Takuya Ogaki, Shun Yamamoto, Hana Miyashita, Kazutaka Nobori, Hiroki Iida, Yoshiki Ozawa, Masaaki Abe, Hiroyasu Sato, Yasunori Matsui, Hiroshi Ikeda|2025|J.Mater.Chem.C|14|232|doi:10.1039/d5tc03195h
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: 10.5517/ccdc.csd.cc2f7n5j
title: CCDC 2241677: Experimental Crystal Structure Determination

description: Related Article: Shun Irii, Takuya Ogaki, Shun Yamamoto, Hana Miyashita, Kazutaka Nobori, Hiroki Iida, Yoshiki Ozawa, Masaaki Abe, Hiroyasu Sato, Yasunori Matsui, Hiroshi Ikeda|2025|J.Mater.Chem.C|14|232|doi:10.1039/d5tc03195h
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: 10.5517/ccdc.csd.cc2f7n6k
title: CCDC 2241678: Experimental Crystal Structure Determination

description: Related Article: Shun Irii, Takuya Ogaki, Shun Yamamoto, Hana Miyashita, Kazutaka Nobori, Hiroki Iida, Yoshiki Ozawa, Masaaki Abe, Hiroyasu Sato, Yasunori Matsui, Hiroshi Ikeda|2025|J.Mater.Chem.C|14|232|doi:10.1039/d5tc03195h
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.