cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29610785.v3
title: Data

description: Description: This dataset contains the 20 validated occurrence points used for the species distribution modeling in the manuscript "Synergistic and Trade-off Regulation of Multi-scale Environmental Factors on the Niche of the Yellow-Spined Bamboo Locust, Ceracris kiangsu: A Nested Model Study".
DOI: 10.15468/dl.e3ggjv
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022836-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sk3c9
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum mauritianum",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022838-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29169695
title: Data deposition AHA

description: genetic regulation of cardiac maturation
DOI: 10.6084/m9.figshare.29169695.v1
title: Data deposition AHA

description: genetic regulation of cardiac maturation
DOI: 10.17632/fnhyc6drm8
title: Transformed Customer Shopping Dataset with Advanced Feature Engineering and Anonymization

description: This dataset represents a thoroughly transformed and enriched version of a publicly available customer shopping dataset. It has undergone comprehensive processing to ensure it is clean, privacy-compliant, and enriched with new features, making it highly suitable for advanced analytics, machine learning, and business research applications.

The transformation process focused on creating a high-quality dataset that supports robust customer behavior analysis, segmentation, and anomaly detection, while maintaining strict privacy through anonymization and data validation.

➡ Data Cleaning and Preprocessing :
Duplicates were removed. Missing numerical values (Age, Purchase Amount, Review Rating) were filled with medians; missing categorical values labeled “Unknown.” Text data were cleaned and standardized, and numeric fields were clipped to valid ranges.

➡ Feature Engineering :
New informative variables were engineered to augment the dataset’s analytical power. These include:
• Avg_Amount_Per_Purchase: Average purchase amount calculated by dividing total purchase value by the number of previous purchases, capturing spending behavior per transaction.
• Age_Group: Categorical age segmentation into meaningful bins such as Teen, Young Adult, Adult, Senior, and Elder.
• Purchase_Frequency_Score: Quantitative mapping of purchase frequency to annualized values to facilitate numerical analysis.
• Discount_Impact: Monetary quantification of discount application effects on purchases.
• Processing_Date: Timestamp indicating the dataset transformation date for provenance tracking.

➡ Data Filtering :
Rows with ages outside 0–100 were removed. Only core categories (Clothing, Footwear, Outerwear, Accessories) and the top 25% of high-value customers by purchase amount were retained for focused analysis.

➡ Data Transformation : 
Key numeric features were standardized, and log transformations were applied to skewed data to improve model performance.

➡ Advanced Features : 
Created a category-wise average purchase and a loyalty score combining purchase frequency and volume.

➡ Segmentation & Anomaly Detection : 
Used KMeans to cluster customers into four groups and Isolation Forest to flag anomalies.

➡ Text Processing : 
Cleaned text fields and added a binary indicator for clothing items.

➡ Privacy : 
Hashed Customer ID and removed sensitive columns like Location to ensure privacy.

➡ Validation : 
Automated checks for data integrity, including negative values and valid ranges.

This transformed dataset supports a wide range of research and practical applications, including customer segmentation, purchase behavior modeling, marketing strategy development, fraud detection, and machine learning education. It serves as a reliable and privacy-aware resource for academics, data scientists, and business analysts.
DOI: 10.17632/fnhyc6drm8.1
title: Transformed Customer Shopping Dataset with Advanced Feature Engineering and Anonymization

description: This dataset represents a thoroughly transformed and enriched version of a publicly available customer shopping dataset. It has undergone comprehensive processing to ensure it is clean, privacy-compliant, and enriched with new features, making it highly suitable for advanced analytics, machine learning, and business research applications.

The transformation process focused on creating a high-quality dataset that supports robust customer behavior analysis, segmentation, and anomaly detection, while maintaining strict privacy through anonymization and data validation.

➡ Data Cleaning and Preprocessing :
Duplicates were removed. Missing numerical values (Age, Purchase Amount, Review Rating) were filled with medians; missing categorical values labeled “Unknown.” Text data were cleaned and standardized, and numeric fields were clipped to valid ranges.

➡ Feature Engineering :
New informative variables were engineered to augment the dataset’s analytical power. These include:
• Avg_Amount_Per_Purchase: Average purchase amount calculated by dividing total purchase value by the number of previous purchases, capturing spending behavior per transaction.
• Age_Group: Categorical age segmentation into meaningful bins such as Teen, Young Adult, Adult, Senior, and Elder.
• Purchase_Frequency_Score: Quantitative mapping of purchase frequency to annualized values to facilitate numerical analysis.
• Discount_Impact: Monetary quantification of discount application effects on purchases.
• Processing_Date: Timestamp indicating the dataset transformation date for provenance tracking.

➡ Data Filtering :
Rows with ages outside 0–100 were removed. Only core categories (Clothing, Footwear, Outerwear, Accessories) and the top 25% of high-value customers by purchase amount were retained for focused analysis.

➡ Data Transformation : 
Key numeric features were standardized, and log transformations were applied to skewed data to improve model performance.

➡ Advanced Features : 
Created a category-wise average purchase and a loyalty score combining purchase frequency and volume.

➡ Segmentation & Anomaly Detection : 
Used KMeans to cluster customers into four groups and Isolation Forest to flag anomalies.

➡ Text Processing : 
Cleaned text fields and added a binary indicator for clothing items.

➡ Privacy : 
Hashed Customer ID and removed sensitive columns like Location to ensure privacy.

➡ Validation : 
Automated checks for data integrity, including negative values and valid ranges.

This transformed dataset supports a wide range of research and practical applications, including customer segmentation, purchase behavior modeling, marketing strategy development, fraud detection, and machine learning education. It serves as a reliable and privacy-aware resource for academics, data scientists, and business analysts.
DOI: 10.15468/dl.wzunng
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Euphonia hirundinacea)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022839-250717081556266/datasets/export for details.
DOI: 10.15468/dl.s7e8rb
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022840-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5nhbn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhynchospora capillacea, Phaeocephalum capillaceum, Phaeocephalum capillaceum levisetum, Rhynchospora capillacea capillacea, Rhynchospora capillacea leviseta, Rhynchospora capillacea leviseta, Rhynchospora capillacea leviseta, Rhynchospora setacea, Schoenus setaceus, Triodon capillaceus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022841-250717081556266/datasets/export for details.
DOI: 10.15468/dl.h2vzyc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Castanopsis diversifolia"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022842-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57783/2k90-6f21
title: IPUMS-1930
DOI: 10.57783/a4w2-ts61
title: IPUMS-1930
DOI: 10.14279/depositonce-23940
title: Pop Groove Ground-Truth Dataset (PGGT)
title: Entwicklung einer Ground-Truth Datenbasis für die automatische Groove-Klassifikation von Popmusiktiteln

description: This dataset is the outcome of Luzie Ahrens' (2024) master thesis "Entwicklung einer Ground-Truth Datenbasis für die automatische Groove-Klassifikation von Popmusiktiteln" in the Audio Communication & Technology M.Sc. program at Technische Universität Berlin, supervised by Dr. Steffen Lepa and Prof. Reinhard Kopiez. Data is available in RDS format for R and contains n = 1775 valid observations, from m = 178 respondents with sociodemographic and music-related information (genre liking and musical expertise in terms of GOLD-MSI, Schaal et al. 20214). Variable and category labels are provided in the SAV version. All data stems from an online survey that was performed in spring 2024, participant recruitment was conducted via social media. The respondents evaluated k = 448 pop song excerpts, 68% of which were familiar to them, on the German-language EGQ (Experience of Groove Questionnaire, Düvel et al. 2024), as well as on the German DGA (Dimensions of Groove Affordances, Lepa et al. 2025) survey instrument. Broken down by genre, 215 assessments are available for country, 275 for electronic, 73 for R'n'B, 721 for hip hop, 21 for Latin, 376 for pop and 94 for rock. The uneven distribution results, on the one hand, from the number of cases of the genres in the stimulus pool and, on the other hand, from the random selection of tracks from the pool during the online survey.
DOI: 10.15468/dl.9vcuvd
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022843-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2v739
title: Occurrence Download

description: A dataset containing 3127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Macaca mulatta"
 ]
}

 The dataset includes 3127 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022844-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/djykh2tfpb
title: Dataset of N-acetyl cysteine (NAC) Clinical Trial in Multi Drugs Resistance Tuberculosis Tanzania

description: The Dataset was originated from the NAC trial, primary aim was to assess the development of clinical or laboratory-based or both adverse events at any frequency during the first six month of MDR-TB treatment MDRTB patients using NAC at a dose of 900mg daily or 900mg twice a day in combination with second line regimen and compare with patients using the standard based regimen. Other objectives include
- To assess the effect of NAC at a dose of 900mg daily or 900mg twice a day on pharmacokinetics of second-line anti-TB drugs.
- To assess safety and tolerability of patients on NAC at a dose of 900mg and 900 mg twice a day in combination of second line anti-TB regimen.
DOI: 10.17632/djykh2tfpb.1
title: Dataset of N-acetyl cysteine (NAC) Clinical Trial in Multi Drugs Resistance Tuberculosis Tanzania

description: The Dataset was originated from the NAC trial, primary aim was to assess the development of clinical or laboratory-based or both adverse events at any frequency during the first six month of MDR-TB treatment MDRTB patients using NAC at a dose of 900mg daily or 900mg twice a day in combination with second line regimen and compare with patients using the standard based regimen. Other objectives include
- To assess the effect of NAC at a dose of 900mg daily or 900mg twice a day on pharmacokinetics of second-line anti-TB drugs.
- To assess safety and tolerability of patients on NAC at a dose of 900mg and 900 mg twice a day in combination of second line anti-TB regimen.
DOI: 10.15468/dl.uxg2rr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium cumini",
 "Country is Algeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022846-250717081556266/datasets/export for details.
DOI: 10.17632/stdfgsbjmt
title: Association between ambient temperatures during pregnancy and the sex ratio of stillbirths in historical GP

description: The file contains data on stillbirths in the historical Poznań province, covering the mid-19th century. It includes information on the year and month of conception, air temperatures during each month of pregnancy, and the sex of stillborn children. The dataset allows for the analysis of the impact of climatic conditions—particularly ambient temperature—on the risk of stillbirth and the sex ratio of stillbirths. Social factors such as maternal marital status and place of residence are also included.
DOI: 10.17632/stdfgsbjmt.1
title: Association between ambient temperatures during pregnancy and the sex ratio of stillbirths in historical GP

description: The file contains data on stillbirths in the historical Poznań province, covering the mid-19th century. It includes information on the year and month of conception, air temperatures during each month of pregnancy, and the sex of stillborn children. The dataset allows for the analysis of the impact of climatic conditions—particularly ambient temperature—on the risk of stillbirth and the sex ratio of stillbirths. Social factors such as maternal marital status and place of residence are also included.
DOI: 10.15468/dl.m7brt3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Human Observation)",
 "Country is Tanzania, United Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is Rungwecebus kipunji"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022845-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75fp4z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lygodium microphyllum",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022848-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n975twtvx9
title: Synthetic Collective Perception Message Dataset Derived from BurST-ADMA

description: This is a repo for both spatio-temporal GNN and Tabular Synthetic Collective Perception Message datasets generated from BurST-ADMA to be used in EvolveGCNOi-CPM model defined in 'State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks' paper.

Please kindly cite the paper as;

@inproceedings{yuce2025state,
 title={State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks},
 author={Yuce, Mehmet Fatih and Erturk, Mehmet Ali and Aydin, Muhammed Ali},
 booktitle={2025 IEEE 36th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
 year={2025},
 organization={IEEE} 
}
DOI: 10.15468/dl.y2snc7
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer negundo, Ailanthus altissima, Amaranthus deflexus, Amaranthus spinosus, Ambrosia artemisiifolia, Ammannia baccifera, Amorpha fruticosa, Aphanomyces astaci, Arundo donax, Broussonetia papyrifera, Buddleja davidii, Camelus bactrianus, Chenopodium trigonon trigonon, Columba livia, Commelina communis, Crassula tillaea, Cryphonectria parasitica, Cyprinus carpio, Dama dama, Dysphania ambrosioides, Eleusine indica, Elodea canadensis, Entoleuca mammata, Erigeron annuus, Erigeron bonariensis, Erigeron canadensis, Erigeron strigosus, Euphorbia maculata, Frankliniella occidentalis, Galinsoga parviflora, Galinsoga quadriradiata, Gleditsia triacanthos, Glinus lotoides, Harmonia axyridis, Heteranthera limosa, Hyphantria cunea, Hypophthalmichthys molitrix, Juncus tenuis, Kleinhovia hospita, Koelreuteria paniculata, Lepomis gibbosus, Leptinotarsa decemlineata, Leptoglossus occidentalis, Lindernia dubia, Lobularia maritima, Lumbricus rubellus, Malcolmia africana, Matricaria discoidea, Mus musculus, Mustela vison, Myocastor coypus, Obolodiplosis robiniae, Ondatra zibethicus, Ovis aries musimon, Parectopa robiniella, Paspalum distichum, Phalaris canariensis, Phasianus colchicus, Physella acuta, incertae sedis, Pseudaulacaspis pentagona, Rattus norvegicus, Rattus rattus, Reynoutria japonica, Robinia pseudoacacia, Sisyrinchium angustifolium, Solanum elaeagnifolium, Solidago canadensis, Sporobolus indicus, Tagetes minuta, Vallisneria spiralis, Xanthium spinosum)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((19.03335 48.09742, 19.05642 48.09082, 19.06656 48.08295, 19.12256 48.07062, 19.16073 48.06526, 19.17427 48.10988, 19.17204 48.12449, 19.21311 48.13265, 19.15206 48.21218, 19.12945 48.23134, 19.10088 48.21688, 19.07623 48.2253, 19.05989 48.20015, 19.05484 48.15336, 19.0532 48.1216, 19.03335 48.09742))"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022847-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n975twtvx9.1
title: Synthetic Collective Perception Message Dataset Derived from BurST-ADMA

description: This is a repo for both spatio-temporal GNN and Tabular Synthetic Collective Perception Message datasets generated from BurST-ADMA to be used in EvolveGCNOi-CPM model defined in 'State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks' paper.

Please kindly cite the paper as;

@inproceedings{yuce2025state,
 title={State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks},
 author={Yuce, Mehmet Fatih and Erturk, Mehmet Ali and Aydin, Muhammed Ali},
 booktitle={2025 IEEE 36th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
 year={2025},
 organization={IEEE} 
}
DOI: 10.17632/hc63dx7324
title: Ultra Low Cost Insulin Pump V2.1

description: All files required to recreate hardware and load firmware for the ULCIPV2.1.
DOI: 10.17632/hc63dx7324.1
title: Ultra Low Cost Insulin Pump V2.1

description: All files required to recreate hardware and load firmware for the ULCIPV2.1.
DOI: 10.17632/mx4bhrbk7j
title: The Influence of Attributional Stability on Learning Crafting and the Related Intervening Variables in High School Students: Evidence From Diary Studies

description: This study utilized a 9-day diary design with 168 Chinese high school students. Variables include daily measures of attributional stability, learning crafting, competence need satisfaction, and baseline achievement goals.
DOI: 10.17632/mx4bhrbk7j.1
title: The Influence of Attributional Stability on Learning Crafting and the Related Intervening Variables in High School Students: Evidence From Diary Studies

description: This study utilized a 9-day diary design with 168 Chinese high school students. Variables include daily measures of attributional stability, learning crafting, competence need satisfaction, and baseline achievement goals.