cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18371680
title: TABLE 4 in New taxa of the genus Phlugiolopsis (Orthoptera: Tettigoniidae: Meconematinae) from Yunnan, China, with comments on the importance to taxonomy of the left tegmen

description: TABLE 4. Eigenvalues, cumulative percentages and Factors, obtained by factor analysis from left tegmen of Phlugiolopsis.
CharacterInitial EigenvaluesFactorTotal% of VarianceCumulative %Factor 1Factor 2Factor 3LTL (mm)9.81775.51275.5120.9630.0920.035LTW (mm)1.199.15284.6640.946-0.007-0.186FL (mm)1.18.46593.1290.8580.4260.058TN0.5063.89397.0230.0650.935-0.164LTCS0.1951.598.5230.9830.119-0.042LTA (sq.unit)0.10.76799.290.9880.086-0.045LTP (unit)0.0410.31599.6040.9790.1420SACS0.0320.24799.8510.9690.170.113SAA (sq.unit)0.0160.12199.9720.970.1590.136SAP (unit)0.0020.01799.9890.9690.1630.113VE0.0010.00999.9980.5280.4740.395VCS00.0021000.8790.3950.173VD3.40E-050100-0.044-0.1180.943
description: Published as part of Bian, Xun & Shi, Fuming, 2018, New taxa of the genus Phlugiolopsis (Orthoptera: Tettigoniidae: Meconematinae) from Yunnan, China, with comments on the importance to taxonomy of the left tegmen, pp. 362 in Zootaxa 4532 (3) on page 362, DOI: 10.11646/zootaxa.4532.3.2, http://zenodo.org/record/2615397
DOI: 10.5281/zenodo.18371681
title: TABLE 4 in New taxa of the genus Phlugiolopsis (Orthoptera: Tettigoniidae: Meconematinae) from Yunnan, China, with comments on the importance to taxonomy of the left tegmen

description: TABLE 4. Eigenvalues, cumulative percentages and Factors, obtained by factor analysis from left tegmen of Phlugiolopsis.
CharacterInitial EigenvaluesFactorTotal% of VarianceCumulative %Factor 1Factor 2Factor 3LTL (mm)9.81775.51275.5120.9630.0920.035LTW (mm)1.199.15284.6640.946-0.007-0.186FL (mm)1.18.46593.1290.8580.4260.058TN0.5063.89397.0230.0650.935-0.164LTCS0.1951.598.5230.9830.119-0.042LTA (sq.unit)0.10.76799.290.9880.086-0.045LTP (unit)0.0410.31599.6040.9790.1420SACS0.0320.24799.8510.9690.170.113SAA (sq.unit)0.0160.12199.9720.970.1590.136SAP (unit)0.0020.01799.9890.9690.1630.113VE0.0010.00999.9980.5280.4740.395VCS00.0021000.8790.3950.173VD3.40E-050100-0.044-0.1180.943
description: Published as part of Bian, Xun & Shi, Fuming, 2018, New taxa of the genus Phlugiolopsis (Orthoptera: Tettigoniidae: Meconematinae) from Yunnan, China, with comments on the importance to taxonomy of the left tegmen, pp. 362 in Zootaxa 4532 (3) on page 362, DOI: 10.11646/zootaxa.4532.3.2, http://zenodo.org/record/2615397
DOI: 10.6084/m9.figshare.27314505.v1
title: The causal relationship between cognitive restructuring and Aha! emotional experiences during insight problem solving

description: The relationship between restructuring and "Aha!" experience as key components of insight problem solving remains unclear. This study utilizes matchstick arithmetic problems to investigate the effects of different types of restructuring (constraint relaxation and chunk decomposition) on "Aha!" experience. The research primarily examines high (vs. low) constraint ranges and tight (vs. loose) chunk decomposition, which were found to elicit a stronger "Aha!" experience characterized by pleasure, surprise, and suddenness. Furthermore, the emotions of all dimensions of the "Aha!" experience remained unchanged or declined after solution feedback in the case of correctly generated solutions. This study provides evidence for a causal relationship between different types of insight restructuring and "Aha!" experience and reveals that "Aha!" experience is influenced by solution feedback.
DOI: 10.7910/dvn/xyc5dy
title: Mapping the evolution of cross-Strait relations via GDELT (2014–2023)

description: The code and data here are the complete code and data of the paper “Mapping the evolution of cross-Strait relations via global news big data (2014–2023): an analysis integrating GDELT and machine learning.”

This includes data analysis based on GDELT and text analysis of the 1000 most important news reports on cross-Strait relations. Please read these codes and data in conjunction with the manuscript.

The data analysis code includes the following parts: (1) The global media's portrayal of cross-strait relations, measured across six dimensions: Attention Index, Balance Index, Impact Index, Tone Index, QuadClass, and EventRootCode, from 2014 to 2023. (2) The distribution of high-impact media outlets in reporting cross-Strait relations and their internal differences, measured using the Deviation Index. (3) The relationship between the influence and deviation indices of high-impact media outlets, measured through correlation and regression analysis. (4) How all the figures were generated.

The text analysis code includes the following parts: (1) LDA topic modeling of 1000 news reports. We provide detailed information on the report samples, stop word list, collocations, and data results. (2) Sentiment analysis of the titles of 1000 news reports. We combined two LLMs (ChatGPT and Grok) for sentiment analysis, along with manual verification, to provide a final credibility score.

To address concerns about whether the Deviation Index can be directly calculated by taking the arithmetic mean of the six dimensions (Attention, Balance, Tone, Impact, QuadClass, and EventRootCode), this paper adds the following steps:
1. Performing PCA analysis (code number 16); 2. Sensitivity analysis (code number 17); 3. Robustness checks by substituting alternative distance and error metrics (MAE and Hellinger distance in place of RMSE and Jensen–Shannon divergence, code numbers 18, 19, and 20). [Added in 2026-01-26]

We welcome the imitation and learning of this code, data, and research ideas. Please remember to cite our work.
DOI: 10.15468/dl.rzpb29
title: Occurrence Download

description: A dataset containing 2873196461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Theromyzon, Haemadipsa, Haemopis, Alma, Eiseniella, Animalia, Dero, Tubificoides, Barbronia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2873196461 records from 55949 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011533-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/60km-xk26
title: Parkes observations for project P1365 semester 2025OCTS_15

description: Following the successful demonstration of a pilot first-pass (shallow) search of a small fraction of the sky, the second-pass processing has commenced for the SMART pulsar survey, which involves deep searches of 80-minute observations. The processing over the past year has led to the discovery of 11 new pulsars (including two millisecond ones), thus tripling the initial count from the first pass, and hinting at the exciting promise of this first southern-sky pulsar survey in the frequency band of SKA-Low. All new pulsars need to be timed in order to determine their spin and astrometric parameters and to select specialised targets for detailed follow-ups. With the MWA no longer supporting routine pulsar observations for the coming year, timing follow-ups rely on other telescopes. The Parkes \emph{Murriyang} telescope, with an identical sky coverage, sensitivity and the wide frequency coverage, offers the best option to time SMART discoveries. We have demonstrated \emph{Murriyang's} suitability for this through a pilot project last semester and are now extending the project to a larger sample of 10 pulsars including two from the pilot project. The data will also allow us to study pulse profiles, polarisation, and flux densities from $\sim$100 MHz to 4 GHz. The analysis/results will be included in a publication in preparation that will detail the deep-search pipeline and report on initial pulsar discoveries.
DOI: 10.25919/dpj0-v973
title: Parkes observations for project PX600 semester 2020APRS_148

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.25919/ptqz-d263
title: Long-term project observations for project P1101 semester 2025OCTS_08

description: We propose a long-term project to monitor a very active repeater, FRB 20190520B, with Murriyang's UWL system. Our previous observations show that FRB 20190520B is not only among the most active FRBs that can be observed with Murriyang, but also shows extreme rotation measure (RM) and dispersion measure (DM) evolution, along with distinctive behavior at 3GHz frequency. This makes the UWL receiver uniquely suited for detailed studies and long-term monitoring of this repeating FRB. Through this program, we anticipate detecting a large sample of bursts from this FRB. In collaboration with FAST, we aim to investigate the time evolution of various properties of FRB 20190520B, enhance our understanding of polarisation across an extremely wide bandwidth with high sensitivity, and gain deeper insights into the local environment and emission mechanisms of FRBs.
DOI: 10.5061/dryad.1g1jwsv6z
title: Data from: Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas

description: Drones have recently been used to assess wildlife populations and their
 abundance. The automatic detection of target animals in drone footage
 enables efficient abundance estimation. However, accurately detecting
 animals remains challenging, especially in complex field environments.
 Moreover, automating the tracking of individuals across consecutive images
 and counting them along transect lines is necessary to apply drones to
 line-transect surveys. In this dataset, we prepared images obtained at
 Japanese coastal areas from drones for deep-learning-based models to
 automatically detect green turtles (Chelonia mydas). The images contain
 training and validation data for the YOLOv7 model. In addition, for
 testing the BoT-SORT object-tracking algorithm to track green turtles, we
 prepared eight drone footage clips.
description: # Drone images and footage for green turtle detection and tracking We have
 submitted our training images (**train folder**), validation images
 (**valid folder**), and drone footage data for testing (**video folder**).
 ## Description of the data and file structure #### File: data.7z
 **Description:**  * *train* folder: images used for training of the YOLOv7
 model for green turtle detection * *valid* folder: images used for
 validation of the YOLOv7 model for green turtle detection * *video*
 folder: drone footage data used for testing of the BoT-SORT model for
 green turtle tracking and counting See our primary article
 at [https://doi.org/10.1016/j.ecoinf.2025.103009](https://doi.org/10.1016/j.ecoinf.2025.103009 "Persistent link using digital object identifier") for details
DOI: 10.15468/dl.zxkwxc
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthocephalus anguillae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004229-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxqyfj
title: Occurrence Download

description: A dataset containing 42937 records in GBIF matching the query:
SELECT
 '505' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 51.21395264452012
 AND decimalLatitude &lt;= 56.135291543055025
 AND decimalLongitude &gt;= -14.391020376704889
 AND decimalLongitude &lt;= -6.681438016390939
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 42937 records were derived from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004224-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18407628
title: Hamiltonian Worldlines Triangle

description: My Worldlines theory expanded with Hamiltonian

 




Title Idea

A Hamiltonian-Parameterized Formalism for Worldline Selection: Bridging Quantum Coherence and Classical Transport Laws

Description / Abstract

Overview:

This paper introduces a novel physical formalism that redefines the transition from quantum dynamics to classical reality. Unlike standard stochastic approximations, this work demonstrates that the emergence of classical trajectories (worldlines) is a deterministic process governed by the Hamiltonian ($H$) acting as a fundamental selection parameter rather than a mere energy eigenvalue.

Methodology:

We establish a rigorous mathematical bridge between operational dynamics and classical observables. By integrating the momentum-dependent phase shift $\phi(p)$ directly into the worldline action, we derive a self-consistent mechanism for path selection. This approach resolves the "coherence-to-classic" bottleneck without relying on arbitrary decoherence models.

Key Results:





Operational Hamiltonian: A new derivation showing how $H$ parameterizes the evolution of worldlines in a phase-space manifold.




Classical Emergence: The formalism successfully derives established transport laws, including electrical conductivity and optical reflectivity, from first principles.




Momentum Integration: We prove that the phase shift associated with momentum $p$ is the governing factor in the stability of macroscopic worldlines.



Conclusion:

This work offers a significant shift in perspective for theoretical physics, the provided mathematical proofs confirm that this formalism is consistent with current experimental data while providing a more robust ontological foundation for classical dynamics.



 

 

This manuscript is current in Official Peer Review.

Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved.

This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws.

No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author.

For correspondence, citations, collaboration inquiries, or feedback please contact:degiuseppealex@gmail.com

The hash files that determine ownership have been created
DOI: 10.15468/dl.2wncct
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-100.99037 20.50472,-100.95044 20.50472,-100.95044 20.52136,-100.99037 20.52136,-100.99037 20.50472))",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004230-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zg9z3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthocephalus clavula",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004231-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2p77mt
title: CCDC 2479616: Experimental Crystal Structure Determination

description: Related Article: Tyler-Rayne Nero, Chad M. Studvick, Andrew C. Boggiano, Maximilian G. Bernbeck, Ivan A. Popov, Henry S. La Pierre|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05024
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.cc2p8f9q
title: CCDC 2480753: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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: 10.5281/zenodo.18407615
title: TIPIK BО'Z TUPRОQLАRNING BIОLОGIK FАОLLIGI VА UNING TUPRОQ UNUMDОRLIGIDАGI АHАMIYАTI

description: Mаzkur mаqоlаdа tipik bо‘z tuprоqlаrning biоlоgik fаоlligi, yа’ni mikrооrgаnizmlаr, tuprоq fаunаsi vа fermentаtiv jаrаyоnlаrning intensivligi tаhlil qilinаdi. Tipik bо‘z tuprоqlаrdа biоlоgik fаоllik dаrаjаsi gumus miqdоri, nаmlik rejimi, hаrоrаt vа аgrоtexnik tаdbirlаr bilаn chаmbаrchаs bоg‘liq ekаni ilmiy mаnbаlаr аsоsidа yоritilgаn. Shuningdek, biоlоgik fаоllikning оziqа elementlаri аylаnishi vа tuprоq unumdоrligigа tа’siri bаhоlаngаn.
DOI: 10.5517/ccdc.csd.cc2p8fbr
title: CCDC 2480754: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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: 10.5281/zenodo.18407614
title: TIPIK BО'Z TUPRОQLАRNING BIОLОGIK FАОLLIGI VА UNING TUPRОQ UNUMDОRLIGIDАGI АHАMIYАTI

description: Mаzkur mаqоlаdа tipik bо‘z tuprоqlаrning biоlоgik fаоlligi, yа’ni mikrооrgаnizmlаr, tuprоq fаunаsi vа fermentаtiv jаrаyоnlаrning intensivligi tаhlil qilinаdi. Tipik bо‘z tuprоqlаrdа biоlоgik fаоllik dаrаjаsi gumus miqdоri, nаmlik rejimi, hаrоrаt vа аgrоtexnik tаdbirlаr bilаn chаmbаrchаs bоg‘liq ekаni ilmiy mаnbаlаr аsоsidа yоritilgаn. Shuningdek, biоlоgik fаоllikning оziqа elementlаri аylаnishi vа tuprоq unumdоrligigа tа’siri bаhоlаngаn.
DOI: 10.5517/ccdc.csd.cc2p8fcs
title: CCDC 2480755: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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.cc2p8fdt
title: CCDC 2480756: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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.cc2p8ffv
title: CCDC 2480757: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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.cc2p8fgw
title: CCDC 2480758: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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.cc2p8fhx
title: CCDC 2480759: Experimental Crystal Structure Determination

description: Related Article: Holger Schimanski, André Streiter, Micheline May, Oliver Mimkes, Johannes van Kempen, Constantin Daniliuc, Günter Haufe|2026|Helv.Chim.Acta||e00185|doi:10.1002/hlca.202500185
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.