cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1067924.10fu
title: SH1067924.10FU

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/sh1067925.10fu
title: SH1067925.10FU

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/sh1067926.10fu
title: SH1067926.10FU

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/sh1067931.10fu
title: SH1067931.10FU

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/sh1067933.10fu
title: SH1067933.10FU

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/sh1067934.10fu
title: SH1067934.10FU

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/sh1067937.10fu
title: SH1067937.10FU

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.akx24e
title: Occurrence Download

description: A dataset containing 1427743 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum Weber"
 ]
}

 The dataset includes 1427743 records from 3120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001406-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17289138
title: Luminous Temporality: The Photick as a Quantum Subdivision of the SI Second

description: Theory of Luminous Temporality: The Photick as a Quantum Subdivision of the SI Second

Abstract

The photick extends the Theory of Luminous Temporality (TLT) by dening the photick—a

new quantum subdivision of the SI second—derived directly from the cesium-133 hyperne

transition frequency.

This denition is entirely consistent with the SI framework yet introduces a quantized

interpretation of temporal ow.

The manuscript goes far beyond simple denition: it oers numerical derivations,

dimensional proofs, theoretical connections (Rovelli, Page–Wootters, Wilczek), and even

proposes concrete experimental schemes.

The work could form the basis of a new subeld in quantum time metrology.

The central idea—time quantized through discrete photon events—is original and

physically grounded.

Whereas traditional denitions of the second are operational but continuous, TLT asserts

that each photon event marks an elementary “tick.”

This redenition is not merely philosophical: it could, in principle, inuence

synchronization, quantum-clock design, and the interpretation of Planck-scale

discreteness.

The discrete-time reinterpretation ( t = n \tau

_{\rm ph} ) within the timeless constraint (

\hat{H}{\rm tot} |\Psi \rangle = 0 ) is particularly compelling.

It recasts the photick as a quantum tick within relational time frameworks.

The photick’s derivation from the same cesium transition that denes the SI second ensures

consistency, while its reinterpretation as a quantum observable gives it novelty.

Emphasize that the photick is operationally denable but conceptually distinct from the

existing SI period; it quantizes interpretation, not measurement.

Using a cesium-derived frequency standard to count photicks in optical clocks is feasible with

modern technology (NIST, JILA).

[ \delta t \ge \frac{\tau{\rm ph}}{2\sqrt{N}} ]

The comparison with Planck time ( \tau

_{\rm Pl} = \sqrt{\frac{\hbar G}{c^5}} \approx 5.39

\times 10^{-44} ) s and the ratio ( \tau

_{\rm ph}/\tau

_{\rm Pl} \approx 2 \times 10^{33} ) is an

eective way to contextualize how “quantized but measurable” time (photick) diers from

“quantized but theoretical” time (Planck).

Which positions TLT as a mesoscopic bridge between laboratory-scale quantum mechanics

and Planck-scale quantum gravity.

This unit quanties time in terms of discrete photon events, providing a formal link

between quantum electrodynamics and metrology.

The manuscript derives its equation, discusses mathematical consistency, and explores

implications for precision timing.

Future implementations may integrate photick-based standards into optical clocks and

quantum networks.
DOI: 10.15468/dl.futb42
title: Occurrence Download

description: A dataset containing 2366631 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.15_2)"
 ]
}

 The dataset includes 2366631 records from 732 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058825-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30297025
title: Motoric Cognitive Risk Syndrome Supplementary Table 2

description: Motoric Cognitive Risk Syndrome Supplementary Table 2
DOI: 10.6084/m9.figshare.30297025.v1
title: Motoric Cognitive Risk Syndrome Supplementary Table 2

description: Motoric Cognitive Risk Syndrome Supplementary Table 2
DOI: 10.5281/zenodo.17430000
title: Reticulated Phylogenetic Eigenvector Maps

description: Generation of reticulated or non-reticulated Phylogenetic Eigenvector Maps (PEM) and phylogenetic signal modelling tools.
DOI: 10.5281/zenodo.17430001
title: Reticulated Phylogenetic Eigenvector Maps

description: Generation of reticulated or non-reticulated Phylogenetic Eigenvector Maps (PEM) and phylogenetic signal modelling tools.
DOI: 10.15468/dl.5ddszz
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kimberleytrachia"
 ]
}

 The dataset includes 351 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053902-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14917552
title: Estimation of the microplastic stock and risk in China's reservoirs

description: ChinaReservoirMPStock.zip: Contains the estimation of microplastic stock and concentration in China's main reservoirs

ChinaReservoirMPRisk.zip: Contains the estimation of microplastic ecological risk in China's main reservoirs

Codes.zip: Codes to produce the microplastic stock and risk assessments in China's reservoirs

DataOnWorldReservoirMP.xlsx: The collected MP data in reservoirs around the world
DOI: 10.5281/zenodo.14917553
title: Estimation of the microplastic stock and risk in China's reservoirs

description: ChinaReservoirMPStock.zip: Contains the estimation of microplastic stock and concentration in China's main reservoirs

ChinaReservoirMPRisk.zip: Contains the estimation of microplastic ecological risk in China's main reservoirs

Codes.zip: Codes to produce the microplastic stock and risk assessments in China's reservoirs

DataOnWorldReservoirMP.xlsx: The collected MP data in reservoirs around the world
DOI: 10.5517/ccdc.csd.cc1m5tn8
title: CCDC 1495150: Experimental Crystal Structure Determination

description: Related Article: Nazarii Sabat, Lenka Poštová Slavětínská, Blanka Klepetářová, Michal Hocek|2016|J.Org.Chem.|81|9507|doi:10.1021/acs.joc.6b01970
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.cc1m5vg3
title: CCDC 1495175: Experimental Crystal Structure Determination

description: Related Article: Joan Soldevila-Sanmartín, José A. Ayllón, Teresa Calvet, Merce Font-Bardia, Josefina Pons|2017|Polyhedron|126|184|doi:10.1016/j.poly.2017.01.023
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.cc1m5vh4
title: CCDC 1495176: Experimental Crystal Structure Determination

description: Related Article: Joan Soldevila-Sanmartín, José A. Ayllón, Teresa Calvet, Merce Font-Bardia, Josefina Pons|2017|Polyhedron|126|184|doi:10.1016/j.poly.2017.01.023
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.cc1m5v8x
title: CCDC 1495169: Experimental Crystal Structure Determination

description: Related Article: Insa Badiane, Stéphane Freslon, Yan Suffren, Carole Daiguebonne, Guillaume Calvez, Kevin Bernot, Magatte Camara, Olivier Guillou|2017|Inorg.Chim.Acta|461|136|doi:10.1016/j.ica.2017.02.012
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.cc1m5vf2
title: CCDC 1495174: Experimental Crystal Structure Determination

description: Related Article: Chia-Hao Chang, Jeng-Liang Han|2016|Chem. Sel.|1|5628|doi:10.1002/slct.201601425
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.cc1m5vk6
title: CCDC 1495178: Experimental Crystal Structure Determination

description: Related Article: Imtiaz Begum, Gregor Schnakenburg and Rainer Streubel|2016|Eur.J.Inorg.Chem.|2016|5265|doi:10.1002/ejic.201600911
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.cc1m5vl7
title: CCDC 1495179: Experimental Crystal Structure Determination

description: Related Article: Galina Morales Torres, Stephan Behrens, Dirk Michalik, Detlef Selent, Anke Spannenberg, Susan Lühr, Katrin Marie Dyballa, Robert Franke, Armin Börner|2017|ChemistryOpen|6|247|doi:10.1002/open.201600152
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.cc1m5vm8
title: CCDC 1495180: Experimental Crystal Structure Determination

description: Related Article: Galina Morales Torres, Stephan Behrens, Dirk Michalik, Detlef Selent, Anke Spannenberg, Susan Lühr, Katrin Marie Dyballa, Robert Franke, Armin Börner|2017|ChemistryOpen|6|247|doi:10.1002/open.201600152
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.cc13hp4f
title: CCDC 1027964: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Mikhailov, Konstantin A. Brylev, Pavel A. Abramov, Eri Sakuda, Soichiro Akagi, Akitaka Ito, Noboru Kitamura, and Maxim N. Sokolov|2016|Inorg.Chem.|55|8437|doi:10.1021/acs.inorgchem.6b01042
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.cc13hp6h
title: CCDC 1027966: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Mikhailov, Konstantin A. Brylev, Pavel A. Abramov, Eri Sakuda, Soichiro Akagi, Akitaka Ito, Noboru Kitamura, and Maxim N. Sokolov|2016|Inorg.Chem.|55|8437|doi:10.1021/acs.inorgchem.6b01042
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.cc1ldwsn
title: CCDC 1472152: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Mikhailov, Konstantin A. Brylev, Pavel A. Abramov, Eri Sakuda, Soichiro Akagi, Akitaka Ito, Noboru Kitamura, and Maxim N. Sokolov|2016|Inorg.Chem.|55|8437|doi:10.1021/acs.inorgchem.6b01042
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.cc1m5vn9
title: CCDC 1495181: Experimental Crystal Structure Determination

description: Related Article: Peng-Chao Ci, Zhong Zhang, Bai-Feng Yang, Xin-Xiong Li, Guo-Yu Yang|2017|J.Cluster Sci.|28|1249|doi:10.1007/s10876-016-1138-0
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.cc13hp5g
title: CCDC 1027965: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Mikhailov, Konstantin A. Brylev, Pavel A. Abramov, Eri Sakuda, Soichiro Akagi, Akitaka Ito, Noboru Kitamura, and Maxim N. Sokolov|2016|Inorg.Chem.|55|8437|doi:10.1021/acs.inorgchem.6b01042
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.cc1ldwtp
title: CCDC 1472153: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Mikhailov, Konstantin A. Brylev, Pavel A. Abramov, Eri Sakuda, Soichiro Akagi, Akitaka Ito, Noboru Kitamura, and Maxim N. Sokolov|2016|Inorg.Chem.|55|8437|doi:10.1021/acs.inorgchem.6b01042
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.cc1m5vpb
title: CCDC 1495182: Experimental Crystal Structure Determination

description: Related Article: El Hachemia El Mamouni, Martin Cattoen, Marie Cordier, Janine Cossy, Stellios Arseniyadis, Hocine Ilitki, Laurent El Kaïm|2016|Chem.Commun.|52|14490|doi:10.1039/C6CC08171A
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.