cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14238766
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 37 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.
DOI: 10.5281/zenodo.15185984
title: A Comprehensive Review of Techniques, Methods, Processes, Frameworks, and Tools for Privacy Requirements

description:  Context: Requirements Engineering (RE) relies on the collaboration of various roles—such as requirements engineers, stakeholders, and developers—and various techniques, methods, processes, frameworks, and tools. This makes RE a highly human-dependent process that benefits greatly from tool support. Understanding how these techniques, methods, processes, frameworks, and tools are applied across RE phases could provide valuable insights into ways to enhance the RE process, contributing to more successful outcomes. Objective: The primary objective of this study is to identify the techniques, methods, processes, frameworks, and tools applied across different requirements engineering phases—such as elicitation, analysis, specification, validation, and management—to address privacy requirements. Method: We conducted a systematic literature review (SLR) and identified 125 primary studies, and we also conducted a survey with 37 practitioners. Results: Our review identified a range of techniques, methods, processes, frameworks, and tools for addressing privacy requirements. Most studies were conducted in academic contexts, with the most frequently used tools being: PriS Method, Secure Tropos, LINDDUN, i* (i-star), STRAP (Structured Analysis for Privacy), Privacy by Design (PbD), and SQUARE. Additionally, over 75% of the studies applied these tools in the privacy requirements elicitation phase. In the industry, most of the techniques identified in the literature are not known or used by practitioners. Conclusion: This study provides a comprehensive analysis of techniques and tools for privacy requirements in RE, revealing a strong focus on academic contexts with limited industry application. Future research should explore the scalability and effectiveness of these tools in real-world environments, as well as the reasons why practitioners do not use them.
DOI: 10.15468/dl.5wg7g9
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Synallaxis zimmeri Koepcke, 1957)",
 "DecimalLatitude is greater than or equal to -20.85",
 "DecimalLatitude is less than or equal to 2.46666666666667",
 "DecimalLongitude is greater than or equal to -83.8333333333333",
 "DecimalLongitude is less than or equal to -66.15"
 ]
}

 The dataset includes 158 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8ikhi
title: Occurrence Download

description: A dataset containing 42806 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Manacus candei (Parzudaki, 1841)",
 "TaxonKey is Manacus aurantiacus (Salvin, 1870)",
 "TaxonKey is Lophornis helenae (Delattre, 1843)"
 ]
}

 The dataset includes 42806 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012367-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u44ab5
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrochirus bellus (Jordan & Hubbs, 1925)"
 ]
}

 The dataset includes 88 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059704-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dk8b89
title: Occurrence Download

description: A dataset containing 5585190 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 5585190 records from 1454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195198-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubwany
title: Occurrence Download

description: A dataset containing 2304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "Geometry POLYGON ((-130.7383528944533 -59.46314024951374, -130.7383528944533 32.71876227804215, -26.26729810228821 32.71876227804215, -26.26729810228821 -59.46314024951374, -130.7383528944533 -59.46314024951374))",
 "OccurrenceStatus is Present",
 "TaxonKey is Capito dayi Cherrie, 1916"
 ]
}

 The dataset includes 2304 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050344-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xx7dr
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amandinea lecideina (H.Mayrhofer & Poelt) Scheid. & H.Mayrhofer"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000271-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hzpj2
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 1998-2018",
 "HasCoordinate is true",
 "TaxonKey is Canis lupus baileyi Nelson & Goldman, 1929",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012368-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh2s43
title: Occurrence Download

description: A dataset containing 41433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alchemilla alpina L."
 ]
}

 The dataset includes 41433 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015824-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3ermf
title: Occurrence Download

description: A dataset containing 1987 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aipysurus laevis"
 ]
}

 The dataset includes 1987 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081947-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6xccp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.147066 22.252668, 71.07118800000001 22.247092, 70.997197 22.2305, 70.926928 22.203307, 70.862126 22.166186, 70.804394 22.12006, 70.755155 22.066071, 70.71562 22.005559, 70.686753 21.940018, 70.669253 21.87107, 70.663534 21.800414, 70.669721 21.729793, 70.68764400000001 21.660943, 70.716846 21.595557, 70.756597 21.535238, 70.805909 21.481464, 70.863568 21.435553, 70.92815400000001 21.398626, 70.998087 21.371586, 71.071657 21.355094, 71.147066 21.349551, 71.222475 21.355094, 71.29604500000001 21.371586, 71.365978 21.398626, 71.430564 21.435553, 71.488223 21.481464, 71.53753500000001 21.535238, 71.577286 21.595557, 71.606488 21.660943, 71.62441099999999 21.729793, 71.63059800000001 21.800414, 71.62487900000001 21.87107, 71.60737899999999 21.940018, 71.578512 22.005559, 71.538977 22.066071, 71.489738 22.12006, 71.432006 22.166186, 71.367204 22.203307, 71.296935 22.2305, 71.222944 22.247092, 71.147066 22.252668))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081948-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18163904
title: UNITE features extracted from sWGS data

description: For best practices in reproducible science, all features used in the paper, i.e., Len, SD, C/T, S/L, CNA and multidimension arrays, as well as metadata of all samples are stored in an `MultiAssayExperiment` object in RDS format. The RDS files are depostied in this Zenodo record.

The features from cross validation, held-out test and unseen test are saved in three R object, respectively. 

`MultiAssayExperiment` offers a data structure for representing and analyzing multi-omics experiments.

To extract those features from the `MultiAssayExperiment` object, please refer to [documentation](https://www.bioconductor.org/packages/release/bioc/vignettes/MultiAssayExperiment/inst/doc/MultiAssayExperiment.html).

 

For more details on UNITE pipeline, please see GitHub page: https://github.com/nrlab-CRUK/UNITE-paper
DOI: 10.5281/zenodo.18163905
title: UNITE features extracted from sWGS data

description: For best practices in reproducible science, all features used in the paper, i.e., Len, SD, C/T, S/L, CNA and multidimension arrays, as well as metadata of all samples are stored in an `MultiAssayExperiment` object in RDS format. The RDS files are depostied in this Zenodo record.

The features from cross validation, held-out test and unseen test are saved in three R object, respectively. 

`MultiAssayExperiment` offers a data structure for representing and analyzing multi-omics experiments.

To extract those features from the `MultiAssayExperiment` object, please refer to [documentation](https://www.bioconductor.org/packages/release/bioc/vignettes/MultiAssayExperiment/inst/doc/MultiAssayExperiment.html).

 

For more details on UNITE pipeline, please see GitHub page: https://github.com/nrlab-CRUK/UNITE-paper
DOI: 10.5281/zenodo.18187158
title: THE LAW OF VARIABLE INERTIAL MASS (LVIM): A Vacuum-Dependent Extension of Classical and Relativistic Dynamics

description:  

THE LAW OF VARIABLE INERTIAL MASS (LVIM): A Vacuum-Dependent Extension of Classical and Relativistic Dynamics

Authors:Dr. B. MazumdarIndependent Researcher–Scholar | Founder, FAIR+D Canon — India (2025)ORCID: 0009-0007-5615-3558

Description:The Law of Variable Inertial Mass (LVIM) presents a complete, self-consistent, and falsifiable framework in which inertial mass emerges from the interaction between matter and local quantum vacuum energy density.

Inertial mass formulation (plain-text math-safe):

m_i = m_0 + mu * rho_vac
alpha_i = mu * rho_vac / m_0 << 1


Predicted inertial deviations:

Delta a / a ≈ mu * |∇rho_vac| / m_0 ~ 1e-15


Experimental signatures:




Platform
Predicted
Sensitivity




Atom Interferometry
1e-16
1e-17


Space-Based Precision Tests
1e-15
1e-15


Casimir Vacuum Systems
1e-14
1e-13




Additional Features:



Equivalence Principle: Compatible to first order in alpha_i (m_g ≈ m_i)

Cosmology: Reduces to standard physics for homogeneous vacua (∇rho_vac ≈ 0)

Distinction: LVIM is local, covariant, and testable, unlike Machian, electromagnetic vacuum-drag, or Higgs-based models


Accompanying Files:



PDF Manuscript (LaTeX): Full derivations, equations, and Appendix A (Numerical Illustration)

Python Code: Simulation illustrating vacuum-induced inertial deviations


Significance:LVIM provides a minimal, conservative, experimentally accessible extension of inertial dynamics, offering a concrete pathway to resolve the physical origin of inertial mass.

DOI: 10.5281/zenodo.18187158

License: CC-BY 4.0

Keywords:Inertial Mass, Quantum Vacuum, Emergent Inertia, Foundations of Physics, Testable Dynamics, Relativistic Dynamics, Covariant Formulation
DOI: 10.15468/dl.zk29a7
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.58442 45.50631,-2.69332 42.82803,2.62864 41.64542,3.15978 41.43393,3.53831 41.63413,4.08191 41.88488,4.76391 42.19675,8.21477 43.53795,6.96119 45.9987,6.7574 46.14517,6.76377 46.41104,6.0953 46.08594,5.85808 46.14166,6.11599 46.36614,-1.58442 45.50631))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Teucrium scordium",
 "Year 2016-2026"
 ]
}

 The dataset includes 487 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081949-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25326/277
title: PM2.5 and PM10 inorganic chemical composition, Lamto, Côte d'Ivoire

description: Aerosols samples are collected with two automatic aerosol samplers specifically designed and developed for the INDAAF program (http://indaaf.obs-mip.fr). Each sampler is equipped with two independent air inlet pumps connected each one at a filter support. This latter is surmounted with a sampling head corresponding to an aerodynamic particles diameter (PM2.5 & PM10). Two Mini Partisol low air inlets (Rupprechtand Patashnick) operate at a flow rate of 5 l/min and the air volume sample is measured with a precision of ± 0.01 using a gas meter. Sampling of PM10 and PM2.5 aerosol are collected on Teflon filters (Pall Zefluor, 47 mm diameter and 0.5 µm of porosity) intended for analysis of soluble major ions. Field blanks are included with the samplers sent into the field. After collection and before analysis, samples and blanks filters conditioned in petri slides boxes are stored at 4°C. Integrated PM2.5 and PM10 weekly filters samples are analyzed at LAERO using Ionic chromatography and are then converted in micrograms per cubic meter (μg.m-3). 
PM2.5 and PM10 aerosol mineral composition (soluble ions) has been determined since 2005. Before this date, weekly bulk aerosol sampling on teflon filters was performed (1998-2005).
DOI: 10.15468/dl.4n8jm2
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.182948 22.390005, 71.106996 22.384428, 71.032932 22.367837, 70.96259499999999 22.340643, 70.89773099999999 22.303522, 70.83994300000001 22.257396, 70.790657 22.203408, 70.751085 22.142895, 70.72219200000001 22.077355, 70.70467600000001 22.008408, 70.698954 21.937753, 70.70514799999999 21.867133, 70.723089 21.798285, 70.75232099999999 21.7329, 70.79210999999999 21.672583, 70.84147 21.618811, 70.89918299999999 21.572901, 70.963831 21.535976, 71.03382999999999 21.508937, 71.107468 21.492445, 71.182948 21.486903, 71.25842799999999 21.492445, 71.332066 21.508937, 71.40206499999999 21.535976, 71.466713 21.572901, 71.52442600000001 21.618811, 71.573786 21.672583, 71.613575 21.7329, 71.642807 21.798285, 71.660748 21.867133, 71.66694200000001 21.937753, 71.66122 22.008408, 71.643704 22.077355, 71.614811 22.142895, 71.575239 22.203408, 71.525953 22.257396, 71.468165 22.303522, 71.403301 22.340643, 71.332964 22.367837, 71.2589 22.384428, 71.182948 22.390005))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081950-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48331/scielodata.kdqjte/7wojva
title: README_e13.pdf
DOI: 10.48331/scielodata.kdqjte/2i2cmx
title: rimtsp_68_e13_supl_mat.pdf

description: Supplementary Material of the Article "Yellow fever virus resurgence in Sao Paulo State, Brazil, 2024–2025"
DOI: 10.48331/scielodata.kdqjte
title: Supplementary Material of the Article "Yellow fever virus resurgence in Sao Paulo State, Brazil, 2024–2025"

description: Supplementary Material of the Article "Yellow fever virus resurgence in Sao Paulo State, Brazil, 2024–2025"
DOI: 10.5281/zenodo.17861824
title: Locations of hollows within impact craters with a degradation class and their superposed craters
DOI: 10.5281/zenodo.17861823
title: Locations of hollows within impact craters with a degradation class and their superposed craters
DOI: 10.5517/ccdc.csd.cc26ggpv
title: CCDC 2039697: Experimental Crystal Structure Determination

description: Related Article: Muazzam Idris, Savannah C. Kapper, Abegail C. Tadle, Thilini Batagoda, Daniel Sylvinson M. R., Peter Djurovich, Jongchan Kim, Caleb Coburn, Stephen R. Forrest, Mark E. Thompson|2021|Adv. Opt. Mater.|9|2001994|doi:10.1002/adom.202001994
description: Related Article: Muazzam Idris, Savannah C. Kapper, Abegail C. Tadle, Thilini Batagoda, M. R. Daniel Sylvinson, Peter Djurovich, Jongchan Kim, Caleb Coburn, Stephen R. Forrest and Mark E. Thompson|2021|CSD Communication|||
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.cc2gs1cp
title: CCDC 2287222: Experimental Crystal Structure Determination

description: Related Article: Matteo Bevilacqua, Kevin Breitwieser, Fabian Dankert, Bernd Morgenstern, Andrea Biffis, Christian Hering-Junghans, Dominik Munz|2024|Adv. Sci.|11|2400699|doi:10.1002/advs.202400699
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.cc2gs1dq
title: CCDC 2287223: Experimental Crystal Structure Determination

description: Related Article: Matteo Bevilacqua, Kevin Breitwieser, Fabian Dankert, Bernd Morgenstern, Andrea Biffis, Christian Hering-Junghans, Dominik Munz|2024|Adv. Sci.|11|2400699|doi:10.1002/advs.202400699
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.cc2gs1fr
title: CCDC 2287224: Experimental Crystal Structure Determination

description: Related Article: Matteo Bevilacqua, Kevin Breitwieser, Fabian Dankert, Bernd Morgenstern, Andrea Biffis, Christian Hering-Junghans, Dominik Munz|2024|Adv. Sci.|11|2400699|doi:10.1002/advs.202400699
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.cc2gsd0p
title: CCDC 2287552: Experimental Crystal Structure Determination

description: Related Article: Matteo Bevilacqua, Kevin Breitwieser, Fabian Dankert, Bernd Morgenstern, Andrea Biffis, Christian Hering-Junghans, Dominik Munz|2024|Adv. Sci.|11|2400699|doi:10.1002/advs.202400699
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.cc2gxff8
title: CCDC 2291440: Experimental Crystal Structure Determination

description: Related Article: Guadalupe Hernández Téllez, José A. Reyes-Avendaño, José M. Bravo-Arredondo, Gloria E. Moreno Morales, Pankaj Sharma, Claudia P. Villamizar C., Angel Mendoza, Bertin Anzaldo|2025|ACS Omega|10|51170|doi:10.1021/acsomega.5c06111
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.