cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/j5l-xcj-4g1
title: Lygephila (Lygephila) pastinum Treitschke, 1826

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17844950
title: XGuardian Raw Data - Part 10
DOI: 10.3535/8wf-2c8-ftr
title: Apamea (Apamea) monoglypha (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dwy-bk8-dy6
title: Xyleta vetusta (Hübner, 1813)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17844949
title: XGuardian Raw Data - Part 10
DOI: 10.3535/axx-ec1-9an
title: Xyleta vetusta (Hübner, 1813)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yk0-14h-yqy
title: Tetheella fluctuosa (Hübner, 1803)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/f5v-89s-ahb
title: Colocasia coryli (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rdn-zx8-y53
title: Apamea (Apamea) lithoxylaea ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/x83-4k2-trq
title: Xyleta vetusta (Hübner, 1813)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xfx-1h1-7kj
title: Colocasia coryli (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/74t-eq0-py0
title: Oligia latruncula ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/qe1-7c6-5ee
title: Agrochola (Sunira) Franclemont, 1950

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/9l8-ye6-zmk
title: Xestia (Pachnobia) tecta Hübner

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3ah-pk5-86e
title: Xestia (Pachnobia) speciosa Hübner, 1813

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rym-6bl-cce
title: Euclidia (Euclidia) glyphica Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xfk-ddx-f85
title: Cosmia (Calymnia) trapezina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/nk4-vp8-d6y
title: Dendrolimus pini (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/1sw-zgg-w1x
title: Cosmia (Calymnia) trapezina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.r5smt8
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((73 34,94 34,94 43,73 43,73 34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haloxylon",
 "Year 1970-2023"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/206-kw2-447
title: Xestia (Pachnobia) speciosa Hübner, 1813

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/g9d-as7-jvw
title: Lithophane (Lithophane) consocia Borkhausen, 1792

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/1jq-k64-kl9
title: Mythimna (Mythimna) pallens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/85t-va3-w3q
title: Mythimna (Mythimna) pallens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/6ks-lxc-aaf
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/xgt-j1n-1pn
title: Elophila nymphaeata Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hv5-6zz-bw2
title: Xylena (Lithomoia) solidaginis Hübner, 1803

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17844964
title: XGuardian Raw Data - Part 11

description: XGuardian Raw Data - Part 11
DOI: 10.3535/6rc-dn7-srq
title: Apamea (Apamea) lateritia (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vm8-dkm-2mn
title: Xylena (Lithomoia) solidaginis Hübner, 1803

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17844963
title: XGuardian Raw Data - Part 11

description: XGuardian Raw Data - Part 11
DOI: 10.3535/fj5-vf0-rq8
title: Colostygia turbata (Hübner, [1799])

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/8jt-djk-ws6
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pew-986-0f1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lp7-bmn-2a7
title: Lithophane (Lithophane) consocia Borkhausen, 1792

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3ar-3j5-czn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/56j-jnx-rb1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5cq-gw3-vyz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/tv8-erh-7na
title: Xylena (Lithomoia) solidaginis Hübner, 1803

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vy5-cmf-a2b
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/6ws-9xb-y5x
title: Epirrhoe alternata (Müller, 1764)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kkm-qsa-ame
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pd6-s9s-whf
title: Oligia latruncula ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lym-50d-7wf
title: Scoparia ambigualis Treitschke, 1829

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/nt0-2wg-xbr
title: Selenia dentaria (Fabricius, 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fez-ekf-yrl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17844968
title: XGuardian Raw Data - Part 12

description: XGuardian Raw Data - Part 12
DOI: 10.5281/zenodo.17844969
title: XGuardian Raw Data - Part 12

description: XGuardian Raw Data - Part 12
DOI: 10.3535/xz0-gf8-ydm
title: Xestia (Pachnobia) speciosa Hübner, 1813

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/264-hkp-bw7
title: Autographa Hübner, 1821

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y54-p69-jce
title: Scoparia ambigualis Treitschke, 1829

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/nln-q6m-ds8
title: Dioryctria schutzeella Fuchs, 1899

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.vh34vz
title: Occurrence Download

description: A dataset containing 1169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mayetiola destructor",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1169 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034786-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0vr-74d-7z1
title: Xylena (Lithomoia) solidaginis Hübner, 1803

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dds-jrl-ndz
title: Autographa Hübner, 1821

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/616-rrg-1vm
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zdm-dh0-gr8
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/695-rma-0tr
title: Sympistis heliophila Paykull, 1793

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/n9r-38c-m5w
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fmm-na6-a2n
title: Scoparia ambigualis Treitschke, 1829

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/z2c-wpc-pjp
title: Sympistis heliophila Paykull, 1793

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hm6-jns-vv3
title: Caradrina (Caradrina) morpheus (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/k3t-6jb-fsh
title: Cosmia (Calymnia) trapezina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gjg-byc-ds2
title: Euplexia lucipara (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0xt-362-scx
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.bs43nh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labrorostratus parasiticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034787-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/zzh-gef-a24
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/df8-sza-1lm
title: Dypterygia scabriuscula (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kza-yzj-kcf
title: Scoparia ambigualis Treitschke, 1829

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/9lp-w8n-gdx
title: Speyeria aglaja (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/c0q-stb-v3h
title: Autographa Hübner, 1821

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/93y-wfj-nls
title: Oligia latruncula ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s2n-0qx-mt0
title: Eupithecia pimpinellata (Hübner, [1813])

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/kf3-rsz-wh9
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/69x-45g-ccp
title: Hyppa rectilinea (Esper, 1788)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fnc-s6d-9td
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s5m-13f-h2a
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/2cn-fwv-a09
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4t0-a14-7ds
title: Scoparia ambigualis Treitschke, 1829

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dht-sxw-765
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/qzf-7gt-ywg
title: Manulea (Manulea) complana (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dc2-bdr-9hd
title: Vanessa cardui (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/g4y-hvg-alr
title: Elophila nymphaeata Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/a6t-g9z-96w
title: Eupithecia pimpinellata (Hübner, [1813])

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/yzr-l28-2r1
title: Aglais io (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/1m4-g86-2t4
title: Eupithecia pimpinellata (Hübner, [1813])

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4pm-x4b-rjv
title: Chrysoteuchia culmella Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/dyf-gg2-aey
title: Animalia

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/7q2-76b-1m5
title: Autographa Hübner, 1821

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.30814802
title: COST PREDICTION DATASET

description: Accurate prediction of customer acquisition costs has become a critical business metric, enabling organizations to strategically allocate resources for growth and client acquisition. Customer acquisition cost represents the total expenditure incurred to onboard a new client. However, building an effective prediction model is a complex task due to the presence of numerous independent variables and categorical data with high cardinality, as observed in the Food Mart X dataset and real-world scenarios. Estimating this cost remains a significant challenge for researchers and practitioners alike.This study proposes a machine learning-based approach to predict customer acquisition costs with high accuracy. Leveraging the Food Mart X dataset, which contains records of 48,000 customers, the proposed models employ algorithms such as Decision Tree (DT), Random Forest (RF), and Bagging Forest (BF) to analyze and predict acquisition costs. Among these methods, the Random Forest algorithm demonstrated the highest accuracy compared to Decision Tree and Bagging methods, showcasing its robustness in handling complex datasets.While existing literature highlights the potential of neural network models in cost prediction, this study focuses on traditional machine learning techniques. The findings confirm that machine learning methods, particularly Random Forest, can serve as reliable tools for accurate customer acquisition cost prediction, offering valuable insights for businesses to optimize their acquisition strategies.<br>
DOI: 10.6084/m9.figshare.30814802.v1
title: COST PREDICTION DATASET

description: Accurate prediction of customer acquisition costs has become a critical business metric, enabling organizations to strategically allocate resources for growth and client acquisition. Customer acquisition cost represents the total expenditure incurred to onboard a new client. However, building an effective prediction model is a complex task due to the presence of numerous independent variables and categorical data with high cardinality, as observed in the Food Mart X dataset and real-world scenarios. Estimating this cost remains a significant challenge for researchers and practitioners alike.This study proposes a machine learning-based approach to predict customer acquisition costs with high accuracy. Leveraging the Food Mart X dataset, which contains records of 48,000 customers, the proposed models employ algorithms such as Decision Tree (DT), Random Forest (RF), and Bagging Forest (BF) to analyze and predict acquisition costs. Among these methods, the Random Forest algorithm demonstrated the highest accuracy compared to Decision Tree and Bagging methods, showcasing its robustness in handling complex datasets.While existing literature highlights the potential of neural network models in cost prediction, this study focuses on traditional machine learning techniques. The findings confirm that machine learning methods, particularly Random Forest, can serve as reliable tools for accurate customer acquisition cost prediction, offering valuable insights for businesses to optimize their acquisition strategies.<br>
DOI: 10.6084/m9.figshare.30814802.v2
title: COST PREDICTION DATASET

description: Accurate prediction of customer acquisition costs has become a critical business metric, enabling organizations to strategically allocate resources for growth and client acquisition. Customer acquisition cost represents the total expenditure incurred to onboard a new client. However, building an effective prediction model is a complex task due to the presence of numerous independent variables and categorical data with high cardinality, as observed in the Food Mart X dataset and real-world scenarios. Estimating this cost remains a significant challenge for researchers and practitioners alike.This study proposes a machine learning-based approach to predict customer acquisition costs with high accuracy. Leveraging the Food Mart X dataset, which contains records of 48,000 customers, the proposed models employ algorithms such as Decision Tree (DT), Random Forest (RF), and Bagging Forest (BF) to analyze and predict acquisition costs. Among these methods, the Random Forest algorithm demonstrated the highest accuracy compared to Decision Tree and Bagging methods, showcasing its robustness in handling complex datasets.While existing literature highlights the potential of neural network models in cost prediction, this study focuses on traditional machine learning techniques. The findings confirm that machine learning methods, particularly Random Forest, can serve as reliable tools for accurate customer acquisition cost prediction, offering valuable insights for businesses to optimize their acquisition strategies.<br>
DOI: 10.3535/vn4-kkx-tha
title: Chrysoteuchia culmella Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/zmv-kc0-gt6
title: Autographa Hübner, 1821

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17846345
title: Simulation Codes and Datasets for: A Simulation Framework for Resilient Emergency Medical Systems in Crisis Scenarios – An Iranian Case Study
title: Supplementary material for the article submitted to International Journal of Disaster Risk Reduction (IJDRR)

description: This deposit contains all simulation codes, models, datasets, and supplementary materials associated with the research article:

“A Simulation Framework for Resilient Emergency Medical Systems in Crisis Scenarios: An Iranian Case Study with Sensitivity Analysis”

Contents:- NS3_Q6IS.cc                  → NS-3 network simulation (Mesh, FHSS/DSSS, EMP/jamming resilience)- AnyLogic_Q6IS.alp            → AnyLogic agent-based model for casualty evacuation and dispatch logistics- MATLAB_Q6IS.m                 → Complete MATLAB scripts for statistical analysis, logistic survival model, sensitivity analysis, and Monte Carlo simulation (n=1000 runs)- emergency_data.csv            → Calibrated dataset based on public records from the 2003 Bam earthquake and 2023 Turkey earthquakes- Supplementary_Figures.pdf     → Additional figures (tornado diagram, Monte Carlo histogram, error bars)- README.md                     → Step-by-step instructions to reproduce all results

The framework (Q6IS) is designed for emergency medical services under severe jamming, EMP, and infrastructure disruption scenarios. All files are provided for full reproducibility of the results reported in the paper.

License: CC-BY 4.0Contact: Mohammad Bagher Tabatabaee (corresponding author)Version: 1.0 (December 2025)
DOI: 10.5281/zenodo.17846346
title: Simulation Codes and Datasets for: A Simulation Framework for Resilient Emergency Medical Systems in Crisis Scenarios – An Iranian Case Study
title: Supplementary material for the article submitted to International Journal of Disaster Risk Reduction (IJDRR)

description: This deposit contains all simulation codes, models, datasets, and supplementary materials associated with the research article:

“A Simulation Framework for Resilient Emergency Medical Systems in Crisis Scenarios: An Iranian Case Study with Sensitivity Analysis”

Contents:- NS3_Q6IS.cc                  → NS-3 network simulation (Mesh, FHSS/DSSS, EMP/jamming resilience)- AnyLogic_Q6IS.alp            → AnyLogic agent-based model for casualty evacuation and dispatch logistics- MATLAB_Q6IS.m                 → Complete MATLAB scripts for statistical analysis, logistic survival model, sensitivity analysis, and Monte Carlo simulation (n=1000 runs)- emergency_data.csv            → Calibrated dataset based on public records from the 2003 Bam earthquake and 2023 Turkey earthquakes- Supplementary_Figures.pdf     → Additional figures (tornado diagram, Monte Carlo histogram, error bars)- README.md                     → Step-by-step instructions to reproduce all results

The framework (Q6IS) is designed for emergency medical services under severe jamming, EMP, and infrastructure disruption scenarios. All files are provided for full reproducibility of the results reported in the paper.

License: CC-BY 4.0Contact: Mohammad Bagher Tabatabaee (corresponding author)Version: 1.0 (December 2025)