cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21223/p3/fformj
title: Dataset for: Advanced clones of group B3 cycle 3, population B with late blight resistance in Oxapampa, 2014

description: The B3C3 population came from crossing the elite clones of B3C2 population, in 2011 under quarantine greenhouses at La Molina. For this, 30,000 genotypes (60 families with 500 seeds each) were planted. At harvest 21685 genotypes, were selected (72%). These selected clones were planted in La Victoria - Huancayo, to increase the number of tubers and make selection for agronomic attributes, where 3123 clones (10.41% of the original population) were selected. This dataset is part of the following selection where selected clones were evaluated for three seasons (2012, 2013 and 2014), in Oxapampa where the environmental conditions (rain, relative humidity, temperature) are great to have a high pressure of late blight allowing us to select clones with resistance to this disease. In 2014-2015 at Oxapampa, the third evaluation of resistance to late blight was conducted. 370 clones were planted in plots of 10 plants with two replications. Furthermore, variety Kory, semiresistant Amarilis and Yungay, a susceptible variety, were used as controls to the resistant clones. The selected clones showed lower values in the scale of suceptibility to late blight, than the susceptible witness Yungay. 94 clones with marketable and total tuber yield above controls and with scale values of susceptibility to late blight lower than Control yungay were selected, but all clones were tested again for resistance to late blight, because that year the presence of late blight was very low.
DOI: 10.34740/kaggle/dsv/14656402
title: Berita UNDIP
DOI: 10.15468/dl.zy6pk8
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vipera aspis zinnikeri"
 ]
}

 The dataset includes 900 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004186-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24fh2j
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vipera aspis zinnikeri"
 ]
}

 The dataset includes 900 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004185-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mce2k3
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vipera aspis zinnikeri"
 ]
}

 The dataset includes 900 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004187-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9ss3m
title: Occurrence Download

description: A dataset containing 17991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-180 -60,-70 -60,-70 70,-180 70,-180 -60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (e9f60bdb-217d-4b4e-a22a-2781321220a1, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 4aaf1825-3ebd-4943-87a3-f67552d468f1, c54097e6-0972-4acb-b849-eaeba29c917d, 750a8724-fa66-4c27-b645-bd58ac5ee010, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Megaptera novaeangliae",
 "Year 2000-2026"
 ]
}

 The dataset includes 17991 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004188-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18406901
title: GeoMorphoGuard
title: Servizio open data di monitoraggio e protezione delle aree a rischio idro-geomorfologico

description: (EN) From the need to provide increasingly up-to-date data on natural and anthropogenic risks caused by the climate crisis, GeoMorphoGuard was created: an open data service for monitoring and protecting areas at hydro-geomorphological risk.The project leverages LiDAR products (DTM and DSM at 5 m resolution) made available by the RSDI Geoportal of the Basilicata Region, data from the Hydrogeological Structure Plan (PAI) of the River Basin Authority of the Southern Apennines District, and interferometric products derived from Sentinel-1 satellite imagery and optical data from Sentinel-2 within the framework of the Copernicus programme (EU).Area of interest: Vulture Alto-Bradano (Basilicata, Italy).

(IT) Dall'esigenza di fornire dati sempre più aggiornati sui rischi naturali e antropici causati dalla crisi climatica nasce GeoMorphoGuard, un servizio open data per il monitoraggio e la protezione delle aree a rischio idro-geomorfologico.Il progetto utilizza prodotti LiDAR (DTM e DSM a 5 m di risoluzione) resi disponibili dal Geoportale RSDI della Regione Basilicata, dati del PAI (Piano di Assetto Idrogeologico) dell’Autorità di Bacino Distrettuale dell’Appennino Meridionale, e prodotti interferometrici derivati da immagini satellitari Sentinel-1 e dati ottici Sentinel-2 del programma Copernicus dell’Unione Europea.Area di interesse: Vulture Alto-Bradano (Basilicata, Italia).
DOI: 10.5281/zenodo.11002747
title: GeoMorphoGuard
title: Servizio open data di monitoraggio e protezione delle aree a rischio idro-geomorfologico

description: (EN) From the need to provide increasingly up-to-date data on natural and anthropogenic risks caused by the climate crisis, GeoMorphoGuard was created: an open data service for monitoring and protecting areas at hydro-geomorphological risk.The project leverages LiDAR products (DTM and DSM at 5 m resolution) made available by the RSDI Geoportal of the Basilicata Region, data from the Hydrogeological Structure Plan (PAI) of the River Basin Authority of the Southern Apennines District, and interferometric products derived from Sentinel-1 satellite imagery and optical data from Sentinel-2 within the framework of the Copernicus programme (EU).Area of interest: Vulture Alto-Bradano (Basilicata, Italy).

(IT) Dall'esigenza di fornire dati sempre più aggiornati sui rischi naturali e antropici causati dalla crisi climatica nasce GeoMorphoGuard, un servizio open data per il monitoraggio e la protezione delle aree a rischio idro-geomorfologico.Il progetto utilizza prodotti LiDAR (DTM e DSM a 5 m di risoluzione) resi disponibili dal Geoportale RSDI della Regione Basilicata, dati del PAI (Piano di Assetto Idrogeologico) dell’Autorità di Bacino Distrettuale dell’Appennino Meridionale, e prodotti interferometrici derivati da immagini satellitari Sentinel-1 e dati ottici Sentinel-2 del programma Copernicus dell’Unione Europea.Area di interesse: Vulture Alto-Bradano (Basilicata, Italia).
DOI: 10.15468/dl.ncz7mj
title: Occurrence Download

description: A dataset containing 1318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloroscombrus chrysurus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 1318 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004189-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.jwstqjqkr
title: Investigation of introgressive hybridization in endangered Sinohyriopsis mussels (Mollusca: Unionidae) using genome-wide data in Japan

description: Anthropogenic hybridization is a global phenomenon and a major concern in
 conservation biology. Sinohyriopsis schlegelii (Mollusca: Bivalvia:
 Unionidae), native to Lake Biwa in Japan, is considered endangered because
 of its hybridization with an introduced Chinese species, S. cumingii.
 Although previous research suggested hybridization among Sinohyriopsis
 mussels, the research has failed to (1) evaluate the prevalence of
 hybrids, (2) predict the genetic consequences for populations containing
 hybrids, and (3) genetically assess a population devoid of hybrids. This
 study aimed to fill the knowledge gaps. We collected samples from all
 persistent populations in Lake Biwa, Lake Kasumigaura, and Lake Anenuma
 (the latter two populations were introduced from Lake Biwa) and analyzed
 genome-wide single nucleotide polymorphisms (SNPs) data. Our findings
 demonstrate that hybrids are prevalent in Lake Biwa and Lake Kasumigaura
 but absent in Lake Anenuma. The proportion of S. cumingii ancestry
 increased over the past 20 years, indicating that the genetic material of
 S. schlegelii may diminish further in the future. Moreover, the S.
 schlegelii population in Lake Anenuma shared genetic similarities with the
 pre-hybridization population of Lake Biwa. Although the Lake Anenuma
 population exhibited lower genetic diversity, no signs of inbreeding were
 observed. Overall, the Lake Anenuma population remains the only
 genetically pure S. schlegelii population, but its low genetic diversity
 indicates a reduced adaptive potential to environmental changes. This
 study provides valuable insights into the current genetic status of S.
 schlegelii, ultimately informing conservation efforts for this critically
 endangered species.
description: # Investigation of introgressive hybridization in endangered
 *Sinohyriopsis* mussels (Mollusca: Unionidae) using genome-wide data in
 Japan
 [https://doi.org/10.5061/dryad.jwstqjqkr](https://doi.org/10.5061/dryad.jwstqjqkr) ## Description of the data This data is used in an article entitled "Investigation of introgressive hybridization in endangered *Sinohyriopsis* mussels (Mollusca: Unionidae) using genome-wide data in Japan" published by Conservation Genetics. The assembled data are included. The original sequencing files (i.e., fastq files) are deposited at DDBJ. For the accession numbers of these fastq files, see the article. ## File description: data.zip The zip file includes four files. * `adm_input.bed`, `adm_input.bim`, `adm_input.fam`: Input files for ADMIXTURE    * `ref_rn4_ikecho_rmlowq_rmout_sh098.nex`: An input file for SplitsTree4 * `ref_rn4_ikecho_rmlowq*rmoutsh098.vcf`: An input file for PCA and ADMIXTOOLS   * `ref_rn4_ikecho_rmlowq_rmout_sh098_pop.stru`: An input file for dartR to calculate population genetics indices
DOI: 10.5066/p13e3lfm
title: Multitemporal Seasonal Tabular Data Products Derived from Landsat Imagery for the Selected Ciénegas and Surrounding Floodplains of the Greater Madrean Archipelago Ecoregion, 1985-2023

description: Ciénegas are wetlands in arid and semi-arid regions of North America. We quantified changes in ciénega condition and floodplain dynamics using the detailed boundaries of 31 ciénegas and their respective controls.This data release is a series of four data collections consisting of 68 tabular data files (.csv) that include the following:
(i) “i_Cienega_Timeseries_CSVs.zip” data collection consisting of 31 tabular data files (i.e., one for each ciénega) displaying yearly January to June precipitation and 31 tabular data files (i.e., one for each ciénega) displaying a seasonal time series of NDVI, NDII, and precipitation;
(ii) “ii_Cienega_Slope_CSVs.zip” data collection consisting of 1 tabular data file displaying seasonal Sen’s slope results and corresponding p-values for NDVI, NDII, and precipitation for each ciénega, and it’s respective control, on a seasonal time scale;
(iii) “iii_Histogram”CSVs.zip” data collection consisting of 4 tabular data files displaying Sen’s slope and corresponding p-values of high greenness conditions for each ciénega, yearly time series of high greenness conditions for each ciénega, seasonal histogram statistics for each ciénega, and the NDVI and NDII scores for 2023; and
(iv) “iv_Staitstical_Variable_Assessment.zip” data collection consisting of 1 tabular data file containing data variables for each ciénega.
DOI: 10.15468/58zxna
title: LWS herbarium. Vascular plants

description: This dataset contains the data on specimens of vascular plants hosted at the LWS herbarium (Lviv, Ukraine) that were chosen as prioritized for digitization in 2023 in frames of the NRFU (National Research Foundation of Ukraine) project to virtually preserve them in case of possible destruction due to hostilities. It omits the specimens that were already digitized. It contains data mostly on rare and relict species of vascular plants distributed in the western part of Ukraine.
DOI: 10.15468/dl.3ek6ew
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cololabis saira",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 54 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004191-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82294/dvnviloie
title: Posters. Reconocimiento de aprendizajes. Territorio: Cali. Sector: Todos. Año: 2025

description: Esta fue una estrategia desarrollada por los equipos territoriales, sus coordinadores y formadores, con el objetivo de revelar los aprendizajes en el marco del proceso de acompañamiento situado. Se integraron los elementos más significativos tanto de las retroalimentaciones sobre los datos recolectados, como las reflexiones de las practicas realizadas por los educadores artísticos y culturales.
DOI: 10.15468/dl.c53p6b
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Conus obscurus"
 ]
}

 The dataset includes 407 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004192-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.g1jwstr1j
title: Phylogenetic trees and sequences accession numbers list of the new species Viola evoluta

description: Here we present the full-size figures of phylogeny trees and the list of
 sequences used in this study. The sequences of the new species were
 extracted and sequenced from the dried leaves collected from the field,
 the other sequences of the related species were downloaded from GenBank.
 Phylogeny trees were generated from the IQTREE and Phylosuite and were
 annotated in iTOL and PS.
description: # Phylogenetic trees and sequences accession numbers list
 [https://doi.org/10.5061/dryad.g1jwstr1j](https://doi.org/10.5061/dryad.g1jwstr1j) ## Description of the data and file structure Here, we present the full-size figures of phylogeny trees and their datasets of ITS and three plastid loci (*rpl16, matK, and rbcL*) as EXCEL. Voucher specimens were listed as collection numbers, which can be traced in CSH (Chenshan Botanical Garden). N/A means the sequences downloaded from GenBank without direct voucher information. Newly generated sequences in this study were marked with an asterisk in Excel.
DOI: 10.15139/s3/4hdq8g
title: Data Management and Sharing Plan for: Advancing Digital Justice for Indigenous Stewardship: Using Kichwa Traditional Ecological Knowledge to Protect Amazonian River Ecosystems

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5066/p13bwm4n
title: Model Archive Summary for Suspended-Sediment Concentration at station 06329500, Yellowstone River near Sidney, Montana, April 2022 through October 2024

description: This model archive summary (MAS) and associated model calibration dataset documents the suspended-sediment concentration (SSC) model developed to compute 15-minute, near-real-time SSC at U.S. Geological Survey (USGS) streamgage station 06329500, Yellowstone River near Sidney, Montana (MT) for calendar years 2022-2024 and is the model currently in use. This model is specific to USGS site 06329500, Yellowstone River near Sidney, MT, during this study period and cannot be applied to data collected from other locations on the Yellowstone River or data collected from other water bodies. The methods used follow USGS guidance as referenced in relevant Office of Surface Water (OSW)/Office of Water Quality (OWQ) technical memoranda and USGS techniques and methods, book 3, chapter C4 (Rasmussen and others, 2009).

References:

Rasmussen, P.P., Gray, J.R., Glysson, G.D., and Ziegler, A.C., 2009, Guidelines and procedures for computing time-series suspended-sediment concentrations and loads from in-stream turbidity-sensor and streamflow data: U.S. Geological Survey Techniques and Methods book 3, chap. C4, 53 p., accessed September 2025 at https://pubs.usgs.gov/tm/tm3c4/pdf/TM3C4.pdf
DOI: 10.34740/kaggle/dsv/14656450
title: Berita UNNES
DOI: 10.5061/dryad.9kd51c5t8
title: Data from: Ornithogalum christiniae (Asparagaceae): A new species from an offshore islet on the Cretan area (S. Aegean, Greece)

description: Ornithogalum christiniae collected from the offshore islet of Agria
 Gramvousa (Northwestern Crete), is described and illustrated as a local
 endemic species, new to science. It is related to the species Ornithogalum
 montanum, O. atticum and O. pumilum, however, it differs from its
 relatives in having wrinkled and corrugated leaf surface, thickened
 fruiting pedicels at base, flexuose rachis of infruitescence and winged
 capsules. The relationships between the new species and the aforementioned
 are discussed, while information regarding its ecology, conservation
 status and karyotype is also given.
description: The raw data are chromosomes measurements from three good
 metaphase plates. In the tables the relative length (R-length) and arm
 ratio (r-index) values of the haploid chromosome complement is
 given.
description: # Data from: Ornithogalum christiniae (Asparagaceae): A new species from
 an offshore islet on the Cretan area (S. Aegean, Greece)
 [https://doi.org/10.5061/dryad.9kd51c5t8](https://doi.org/10.5061/dryad.9kd51c5t8) ## Description of the data and file structure An excel file with the raw chromosome measurments of three good metaphase plates. The mean values of all three phases can be seen in a table in the main article published in Nordic Journal of Botany.  Measurements include R-length (relative length of chromosomes) and r-index (arm ratio of chromosomes). ### Files and variables #### File: R\_length\_r\_index\_raw\_data.xlsx **Description:** Raw data of chromosome measurements ##### Variables * R-length (relative length of chromosomes) * r-index (arm ratio of chromosomes)
DOI: 10.15468/dl.3mkyjg
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Conus cuvieri"
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004193-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18406934
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

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