cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17886774
title: Climate web app provenance run run_20251210T220522Z

description: Run-level provenance artefacts (OpenLineage JSONL, enriched JSON, session Parquet, PROV-O TTL graph, and TTL graph PNG) captured from the Climate dashboard.
DOI: 10.5281/zenodo.17886775
title: Climate web app provenance run run_20251210T220522Z

description: Run-level provenance artefacts (OpenLineage JSONL, enriched JSON, session Parquet, PROV-O TTL graph, and TTL graph PNG) captured from the Climate dashboard.
DOI: 10.15468/dl.fn5tmj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.171 -2.332824, 116.100679 -2.338389, 116.032087 -2.354948, 115.966913 -2.382092, 115.90676 -2.419154, 115.853107 -2.465222, 115.807276 -2.519164, 115.770395 -2.57965, 115.743374 -2.645194, 115.726877 -2.714181, 115.721315 -2.784914, 115.726824 -2.855651, 115.743273 -2.92465, 115.770256 -2.990212, 115.807113 -3.050722, 115.852935 -3.10469, 115.906597 -3.150784, 115.966774 -3.18787, 116.031987 -3.215033, 116.100626 -3.231603, 116.171 -3.237172, 116.241374 -3.231603, 116.310013 -3.215033, 116.375226 -3.18787, 116.435403 -3.150784, 116.489065 -3.10469, 116.534887 -3.050722, 116.571744 -2.990212, 116.598727 -2.92465, 116.615176 -2.855651, 116.620685 -2.784914, 116.615123 -2.714181, 116.598626 -2.645194, 116.571605 -2.57965, 116.534724 -2.519164, 116.488893 -2.465222, 116.43524 -2.419154, 116.375087 -2.382092, 116.309913 -2.354948, 116.241321 -2.338389, 116.171 -2.332824))"},{"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 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045849-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/g4mwg7
title: Northumberland Strait multi-species trawl survey dataset

description: Catch weight, length frequencies, and biological information for crustaceans and fish caught during the annual July-August research vessel trawl survey in Northumberland Strait (NAFO Division 4T). Abundance indices and spatial distribution patterns of commercial and non-commercial crustaceans and other groundfish.
DOI: 10.15468/dl.rzf9aa
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Goniada bifida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045850-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58080/5j27-ff09
title: A phase II, randomised, non-comparative two-arm trial of neoadjuvant chemotherapy plus either olaparib or olaparib + durvalumab in young, pre-menopausal women with HR-positive, HER2-negative early breast cancer (BCT 2301 OLIO).

description: HeSANDA 1.0.0
description: THIS DATASET IS NOT YET AVAILABLE FOR SHARING. Dataset of 56 young (18-45 years), pre-menopausal women with HR-positive, HER2-negative early breast cancer. OLIO is a non-comparative randomised clinical trial evaluating the pCR rate of olaparib + paclitaxel, with or without durvalumab, in HR-positive, HER2-negative early breast cancer patients. The primary focus is to assess whether any of the two treatment arms have an acceptable pCR rate. All comparisons between the arms are purely exploratory to inform the design of a subsequent trial. Participants will have standard neoadjuvant treatment of 4 cycles anthracycline-based chemotherapy, followed by 12 weeks of study treatment. Arm A: Olaparib: 100 mg tablet taken twice daily for weeks 1-12 with weekly paclitaxel intravenously (IV) 80 mg/m^2 for 12 weeks. Arm B: Olaparib: 100 mg tablet taken twice daily for weeks 1-12; and Durvalumab: 1500 mg intravenously (IV) every 4 weeks for 12 weeks (i.e. 3 treatments) with weekly paclitaxel intravenously (IV) 80 mg/m^2 for 12 weeks. Participants will be followed up for 5 years after surgery. Cancer Australia demographic data has been collected including: Year of birth, Postcode of home of address, Ethnicity, CALD status (Country of Birth, Main language spoken as a child, Main language other than English used as the principle means of communication).
DOI: 10.15468/dl.zjh3mf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.631 -2.313824, 104.56068 -2.319389, 104.492089 -2.335948, 104.426916 -2.363092, 104.366763 -2.400154, 104.313111 -2.446223, 104.267281 -2.500164, 104.230401 -2.560651, 104.20338 -2.626194, 104.186884 -2.695182, 104.181322 -2.765914, 104.186832 -2.836651, 104.20328 -2.905651, 104.230263 -2.971213, 104.267119 -3.031723, 104.312941 -3.08569, 104.366601 -3.131785, 104.426778 -3.16887, 104.491989 -3.196033, 104.560627 -3.212603, 104.631 -3.218172, 104.701373 -3.212603, 104.770011 -3.196033, 104.835222 -3.16887, 104.895399 -3.131785, 104.949059 -3.08569, 104.994881 -3.031723, 105.031737 -2.971213, 105.05872 -2.905651, 105.075168 -2.836651, 105.080678 -2.765914, 105.075116 -2.695182, 105.05862 -2.626194, 105.031599 -2.560651, 104.994719 -2.500164, 104.948889 -2.446223, 104.895237 -2.400154, 104.835084 -2.363092, 104.769911 -2.335948, 104.70132 -2.319389, 104.631 -2.313824))"},{"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 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045851-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r25c9j
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Goniada japonica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 242 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045853-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xjetde
title: Incidental catch at British Columbia marine finfish aquaculture sites

description: Fisheries and Oceans Canada’s (DFO’s) Conditions of Licence for finfish aquaculture include requirements to minimize harm to wild fish that swim into facilities. Facility operators must also maintain an incidental catch log, which is a record of wild fish caught at the facility during harvest and transfer events. This information is submitted to DFO and public reports are posted quarterly. The tables provided list the reported incidental catch of dead wild finfish and the year and month in which they were captured from B.C. marine finfish facilities during harvest and transfer events.Data are reported in the quarter in which the harvest activities ended and will not exist for farms that do not have fish on site or where no incidentally caught fish were recorded.Historical data are available from 2011 to the present. Explanation of the terms used in the report’s column headings can be found in the terminology file: https://open.canada.ca/data/en/dataset/0bf04c4e-d2b0-4188-9053-08dc4a7a2b03
DOI: 10.15468/dl.yhmr74
title: Occurrence Download

description: A dataset containing 61391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -5.914722",
 "DecimalLatitude is less than or equal to -0.914722",
 "DecimalLongitude is greater than or equal to 55.0",
 "DecimalLongitude is less than or equal to 60.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 61391 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045832-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5tga2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.254 -2.312824, 103.18368 -2.318389, 103.115089 -2.334948, 103.049916 -2.362092, 102.989763 -2.399154, 102.936112 -2.445223, 102.890281 -2.499164, 102.853401 -2.559651, 102.82638 -2.625194, 102.809885 -2.694182, 102.804322 -2.764914, 102.809832 -2.835651, 102.82628 -2.904651, 102.853264 -2.970213, 102.89012 -3.030723, 102.935941 -3.08469, 102.989602 -3.130785, 103.049778 -3.16787, 103.114989 -3.195033, 103.183627 -3.211603, 103.254 -3.217172, 103.324373 -3.211603, 103.393011 -3.195033, 103.458222 -3.16787, 103.518398 -3.130785, 103.572059 -3.08469, 103.61788 -3.030723, 103.654736 -2.970213, 103.68172 -2.904651, 103.698168 -2.835651, 103.703678 -2.764914, 103.698115 -2.694182, 103.68162 -2.625194, 103.654599 -2.559651, 103.617719 -2.499164, 103.571888 -2.445223, 103.518237 -2.399154, 103.458084 -2.362092, 103.392911 -2.334948, 103.32432 -2.318389, 103.254 -2.312824))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045854-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17886757
title: Sentiment Analysis in Rural Areas: A Systematic Review of Applications and Approaches
DOI: 10.5281/zenodo.17886756
title: Sentiment Analysis in Rural Areas: A Systematic Review of Applications and Approaches
DOI: 10.15468/dl.6zn4kj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Goniada tridens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045855-251120083545085/datasets/export for details.
DOI: 10.7278/s5d-x24s-v2rg
title: Content Analysis for Digital Tools in Urban Forestry Research, 1998–2023
DOI: 10.15468/dl.cjhrrr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.392 -2.304824, 101.32168 -2.310389, 101.25309 -2.326948, 101.187917 -2.354092, 101.127765 -2.391154, 101.074114 -2.437223, 101.028284 -2.491164, 100.991404 -2.551651, 100.964383 -2.617194, 100.947888 -2.686182, 100.942325 -2.756915, 100.947835 -2.827652, 100.964283 -2.896651, 100.991267 -2.962213, 101.028122 -3.022723, 101.073944 -3.07669, 101.127604 -3.122785, 101.18778 -3.15987, 101.25299 -3.187033, 101.321628 -3.203603, 101.392 -3.209172, 101.462372 -3.203603, 101.53101 -3.187033, 101.59622 -3.15987, 101.656396 -3.122785, 101.710056 -3.07669, 101.755878 -3.022723, 101.792733 -2.962213, 101.819717 -2.896651, 101.836165 -2.827652, 101.841675 -2.756915, 101.836112 -2.686182, 101.819617 -2.617194, 101.792596 -2.551651, 101.755716 -2.491164, 101.709886 -2.437223, 101.656235 -2.391154, 101.596083 -2.354092, 101.53091 -2.326948, 101.46232 -2.310389, 101.392 -2.304824))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045856-251120083545085/datasets/export for details.
DOI: 10.25901/5yg0-rm28
title: Alice Springs Mulga Flux Data Release 2025_v2
DOI: 10.15468/dl.464xe3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Goniada beiraensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045858-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14098475
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tmwawp
title: Occurrence Download

description: A dataset containing 548521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Bryophyta, Marchantiophyta, Anthocerotophyta)",
 "Country is one of (Spain, Portugal, Cabo Verde)"
 ]
}

 The dataset includes 548521 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045848-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrf4nr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.437 -2.302824, 112.36668 -2.308389, 112.29809 -2.324948, 112.232918 -2.352092, 112.172765 -2.389154, 112.119114 -2.435223, 112.073284 -2.489164, 112.036405 -2.549651, 112.009384 -2.615194, 111.992888 -2.684182, 111.987326 -2.754915, 111.992836 -2.825652, 112.009284 -2.894651, 112.036267 -2.960213, 112.073123 -3.020723, 112.118944 -3.07469, 112.172604 -3.120785, 112.23278 -3.15787, 112.297991 -3.185033, 112.366628 -3.201603, 112.437 -3.207172, 112.507372 -3.201603, 112.576009 -3.185033, 112.64122 -3.15787, 112.701396 -3.120785, 112.755056 -3.07469, 112.800877 -3.020723, 112.837733 -2.960213, 112.864716 -2.894651, 112.881164 -2.825652, 112.886674 -2.754915, 112.881112 -2.684182, 112.864616 -2.615194, 112.837595 -2.549651, 112.800716 -2.489164, 112.754886 -2.435223, 112.701235 -2.389154, 112.641082 -2.352092, 112.57591 -2.324948, 112.50732 -2.308389, 112.437 -2.302824))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045859-251120083545085/datasets/export for details.
DOI: 10.15468/un9xr2
title: DFO Gulf Region Aquatic Invasive Species Data

description: DFO Science monitors for AIS in the Gulf Region along with several provincial agencies, universities and NGOs. The data collected from DFO's biofouling monitoring program provides an overview of the distribution and abundance of Aquatic Invasive Species (AIS) in the Gulf Region. This information can be used by the general public, scientists and DFO managers.
DOI: 10.5281/zenodo.17886746
title: Posteriors for PE runs: Misinterpreting Spin Precession as Orbital Eccentricity in Gravitational-Wave Signals (Tibrewal et al.)

description: Here we provide the posterior files for the PE runs carried out in section IV of our paper: Misinterpreting Spin Precession as Orbital Eccentricity in Gravitational-Wave Signals  (Tibrewal et al.). These files have a .dat extension and contain a header line listing the column names.
DOI: 10.5281/zenodo.17886745
title: Posteriors for PE runs: Misinterpreting Spin Precession as Orbital Eccentricity in Gravitational-Wave Signals (Tibrewal et al.)

description: Here we provide the posterior files for the PE runs carried out in section IV of our paper: Misinterpreting Spin Precession as Orbital Eccentricity in Gravitational-Wave Signals  (Tibrewal et al.). These files have a .dat extension and contain a header line listing the column names.
DOI: 10.15468/dl.xjznp6
title: Occurrence Download

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

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045861-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/u8pkm
title: Unpredictable chronic stress does not alter social behavior in zebrafish

description: This repository contains the raw behavioral data and associated analytical materials supporting the study “Unpredictable chronic stress does not alter social behavior in zebrafish”. The dataset comprises individual-level and group-level measures collected across two independent experiments examining the effects of a 14-day unpredictable chronic stress (UCS) protocol.

The repository includes:

Raw data from the social preference test;

Raw data from the shoal cohesion test;

Raw data from the novel tank test;

Experimental group assignments (UCS vs. control);

Files and analysis code used for effect size estimation;

Original image files used for shoal cohesion assessment.

All experimental procedures were conducted in accordance with institutional and ethical guidelines for the care and use of animals.
DOI: 10.15468/dl.ffheqw
title: Occurrence Download

description: A dataset containing 32929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis"
 ]
}

 The dataset includes 32929 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045860-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hnkum
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((108.002 -2.287824, 107.931681 -2.293389, 107.863092 -2.309947, 107.79792 -2.337092, 107.737768 -2.374154, 107.684118 -2.420223, 107.638288 -2.474164, 107.601409 -2.534651, 107.574389 -2.600195, 107.557894 -2.669182, 107.552332 -2.739915, 107.557842 -2.810652, 107.57429 -2.879651, 107.601273 -2.945213, 107.638128 -3.005723, 107.683949 -3.059691, 107.737608 -3.105785, 107.797783 -3.142871, 107.862993 -3.170033, 107.931629 -3.186603, 108.002 -3.192173, 108.072371 -3.186603, 108.141007 -3.170033, 108.206217 -3.142871, 108.266392 -3.105785, 108.320051 -3.059691, 108.365872 -3.005723, 108.402727 -2.945213, 108.42971 -2.879651, 108.446158 -2.810652, 108.451668 -2.739915, 108.446106 -2.669182, 108.429611 -2.600195, 108.402591 -2.534651, 108.365712 -2.474164, 108.319882 -2.420223, 108.266232 -2.374154, 108.20608 -2.337092, 108.140908 -2.309947, 108.072319 -2.293389, 108.002 -2.287824))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045862-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17887112
title: Quantum Trojan Detection Dataset

description: Quantum Trojan Detection Dataset


This project focuses on the detection of trojan-injected quantum circuits using classical and quantum machine learning models. It forms part of a master’s thesis exploring security threats in quantum computing environments.



Research Focus




Objective: Detect anomalies and logical tampering in quantum circuits.

Models Used:



Classical: Random Forest

Quantum: Quantum Support Vector Machine (QSVM)



Circuits Analyzed:



Deutsch–Jozsa (DJ)

Grover’s Search

Quantum Fourier Transform (QFT)

Shor’s Algorithm

Bernstein–Vazirani (BV)

Quantum Approximate Optimization Algorithm (QAOA)






Core Features




Clean and malicious quantum circuit generation (Qiskit)

Circuit simulation using Qiskit Aer

Feature extraction from quantum circuits:



Depth, gate counts, entropy, structure



CSV dataset generation for training/testing

Binary classification: Clean vs. Malicious

Evaluation: Accuracy, Precision, Recall, F1, ROC-AUC
DOI: 10.5281/zenodo.17372821
title: Quantum Trojan Detection Dataset

description: Quantum Trojan Detection Dataset


This project focuses on the detection of trojan-injected quantum circuits using classical and quantum machine learning models. It forms part of a master’s thesis exploring security threats in quantum computing environments.



Research Focus




Objective: Detect anomalies and logical tampering in quantum circuits.

Models Used:



Classical: Random Forest

Quantum: Quantum Support Vector Machine (QSVM)



Circuits Analyzed:



Deutsch–Jozsa (DJ)

Grover’s Search

Quantum Fourier Transform (QFT)

Shor’s Algorithm

Bernstein–Vazirani (BV)

Quantum Approximate Optimization Algorithm (QAOA)






Core Features




Clean and malicious quantum circuit generation (Qiskit)

Circuit simulation using Qiskit Aer

Feature extraction from quantum circuits:



Depth, gate counts, entropy, structure



CSV dataset generation for training/testing

Binary classification: Clean vs. Malicious

Evaluation: Accuracy, Precision, Recall, F1, ROC-AUC