cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/pofbsm
title: Data Management and Sharing Plan for: Understanding the Origins of Early COPD

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5281/zenodo.16898424
title: CropPlantHarvest: A 500 m annual dataset of crop planting and harvesting dates (2001–2024) of the U.S. Midwest

description: CropPlantHarvest is the first annual dataset of corn and soybean planting and harvesting dates across the U.S. Midwest, mapped at 500 m resolution from 2001 to 2024. The dataset is provided as an image collection consisting of four layers: corn planting dates, corn harvesting dates, soybean planting dates, and soybean harvesting dates. Each pixel value represents the specific day of year (DOY, e.g., 123) corresponding to the estimated planting or harvesting date. The most current version is `CropPlantHarvest.zip`.

For technical details about the methods used to create this dataset, please refer to Liu et al. (2023), Liu et al. (2025), and the data description paper available soon.

This research was supported in part by the Illinois Computes project which is supported by the University of Illinois Urbana-Champaign and the University of Illinois System.
DOI: 10.5281/zenodo.16967482
title: CropPlantHarvest: A 500 m annual dataset of crop planting and harvesting dates (2001–2024) of the U.S. Midwest

description: CropPlantHarvest is the first annual dataset of corn and soybean planting and harvesting dates across the U.S. Midwest, mapped at 500 m resolution from 2001 to 2024. The dataset is provided as an image collection consisting of four layers: corn planting dates, corn harvesting dates, soybean planting dates, and soybean harvesting dates. Each pixel value represents the specific day of year (DOY, e.g., 123) corresponding to the estimated planting or harvesting date. The most current version is `CropPlantHarvest.zip`.

For technical details about the methods used to create this dataset, please refer to Liu et al. (2023), Liu et al. (2025), and the data description paper available soon.

This research was supported in part by the Illinois Computes project which is supported by the University of Illinois Urbana-Champaign and the University of Illinois System.
DOI: 10.6084/m9.figshare.30095950
title: Data_with_coding

description: We analyze 10,986 participants (mean age 77; 63% women; 54% non-White) across seven U.S. cohorts to study the relationship between mitochondrial DNA (mtDNA) heteroplasmy and nuclear DNA methylation. We identify 597 CpGs associated with heteroplasmy burden, generally showing lower methylation. These CpGs are enriched in dynamically regulated island shores and depleted in CpG islands, indicating involvement in context-specific rather than constitutive gene regulation. In HEK293T cells, we introduce a truncating mtDNA mutation (MT-COX3, mt.9979) and observe a positive correlation between variant allele fraction and methylation at cg04569152, supporting a direct mtDNA–nDNA epigenetic link. Many heteroplasmy-associated CpGs overlap with known methylation-trait associations for metabolic and behavioral traits. Composite CpG scores predict all-cause mortality and incident CVD, with one-unit increases associated with 1.27-fold and 1.12-fold higher hazards, respectively. These findings suggest an mtDNA–nDNA epigenetic connection in aging and disease, though its direction and mechanisms remain to be studied. This zipped file includes data and codes for plotting Fig 2, Fig 3, Fig4A_4B, Fig4C_SupplFig16-17, Fig5_and_SupplFig19_22, SupplFig2_9, SupplFig1, SupplFig10_14
DOI: 10.6084/m9.figshare.30095950.v1
title: Data_with_coding

description: We analyze 10,986 participants (mean age 77; 63% women; 54% non-White) across seven U.S. cohorts to study the relationship between mitochondrial DNA (mtDNA) heteroplasmy and nuclear DNA methylation. We identify 597 CpGs associated with heteroplasmy burden, generally showing lower methylation. These CpGs are enriched in dynamically regulated island shores and depleted in CpG islands, indicating involvement in context-specific rather than constitutive gene regulation. In HEK293T cells, we introduce a truncating mtDNA mutation (MT-COX3, mt.9979) and observe a positive correlation between variant allele fraction and methylation at cg04569152, supporting a direct mtDNA–nDNA epigenetic link. Many heteroplasmy-associated CpGs overlap with known methylation-trait associations for metabolic and behavioral traits. Composite CpG scores predict all-cause mortality and incident CVD, with one-unit increases associated with 1.27-fold and 1.12-fold higher hazards, respectively. These findings suggest an mtDNA–nDNA epigenetic connection in aging and disease, though its direction and mechanisms remain to be studied. This zipped file includes data and codes for plotting Fig 2, Fig 3, Fig4A_4B, Fig4C_SupplFig16-17, Fig5_and_SupplFig19_22, SupplFig2_9, SupplFig1, SupplFig10_14
DOI: 10.15468/dl.udatx3
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Heliconia beckneri"
 ]
}

 The dataset includes 33 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050171-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnscc2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clupeichthys bleekeri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050172-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jz48yy
title: Occurrence Download

description: A dataset containing 177205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.05422 21.46037,-104.36003 21.46037,-104.36003 22.65114,-105.05422 22.65114,-105.05422 21.46037))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aves, Mammalia, Amphibia, Squamata, Testudines, Crocodylia)"
 ]
}

 The dataset includes 177205 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050094-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w9bkr
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050174-250827131500795/datasets/export for details.
DOI: 10.15468/dl.9rau3w
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus parviflorus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050173-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpyauc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050175-250827131500795/datasets/export for details.
DOI: 10.25574/00494
title: Chandra X-ray Observatory ObsId 00494

description: THE COOLING FLOW IN A1795
DOI: 10.25574/00790
title: Chandra X-ray Observatory ObsId 00790

description: STARBURSTS AND THE `POLLUTION' OF THE IGM: AXAF OBSERVATIONS OF THE SUPERWIND FROM NGC 253
DOI: 10.34740/kaggle/dsv/13020587
title: Bedroom Comfort Dataset
DOI: 10.5281/zenodo.17079488
title: Dataset for the reserch "Using case-control study to explain software fault-proneness"
DOI: 10.5281/zenodo.17079489
title: Dataset for the reserch "Using case-control study to explain software fault-proneness"
DOI: 10.15468/dl.ne6wd4
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Heliconia danielsiana"
 ]
}

 The dataset includes 75 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050178-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux74u6
title: Occurrence Download

description: A dataset containing 210497 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ABV - Common breeding birds in Flanders, Belgium (post 2016)"
 ]
}

 The dataset includes 210497 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050154-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rjgjh8hgrt
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
To use the dataset, please cite the following:
R. Zannat, A. Al Shafi and A. Muntakim, "Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11012950.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11012950&isnumber=11012919
DOI: 10.17632/rjgjh8hgrt.6
title: A Structured Bangla Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy

description: The dataset is structured in a tabular format and consists of disease-symptom relationships. it is organized as follows: the first column represents diseases, the remaining columns represent symptoms. Each cell contains a binary value (1 or 0), where 1 indicates that the symptom is associated with the disease and 0 indicates no association. There are 85 Unique Diseases, 172 Symptoms along with 758 Disease-Symptoms Relations.
To use the dataset, please cite the following:
R. Zannat, A. Al Shafi and A. Muntakim, "Bridging the Gap in Bangla Healthcare: Machine Learning Based Disease Prediction Using a Symptoms-Disease Dataset," 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6, doi: 10.1109/ECCE64574.2025.11012950.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11012950&isnumber=11012919
DOI: 10.15468/dl.r77tcq
title: Occurrence Download

description: A dataset containing 15462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.15621 38.49156,-94.22261 26.78127,-79.14239 24.30984,-75.65722 30.99273,-74.55334 38.56651,-90.15621 38.49156))",
 "HasGeospatialIssue is false",
 "TaxonKey is Campsis radicans"
 ]
}

 The dataset includes 15462 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050179-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hnvhkbgvy2.3
title: A Supervised Machine Learning Approach to Understanding Migration Decisions and Psychological Stress Among Youth.

description: Migration decisions—especially for youth—are influenced by personal ambitions, socio-economic conditions, and global exposure. These decisions involve complex emotional processes like uncertainty, anxiety, and family or societal pressure. Many young Bangladeshi individuals aspire to pursue better opportunities abroad, making it critical to understand their motivations and psychological stressors.
This dataset was collected through structured questionnaires distributed via Google Forms and in-person interviews across Bangladesh. It includes diverse responses related to migration interest, stress levels, coping mechanisms, and future plans, gathered from various ages, occupations, and socio-cultural backgrounds.
Key Features:
Demographics: Age group, Gender, Occupation.
Migration Decisions: Whether decided to migrate abroad, intended duration, awareness of migration programs or scholarships.
Influencing Factors: Role of social media, family, friends, mentors, and target countries.
Psychological Stress Indicators: Type and intensity of stress (e.g., visa anxiety, family pressure, fear of rejection), self-reported emotional challenges in migration planning.
Coping Strategies: Stress relief methods such as hobbies, physical activity, social support, and online forums.
Barriers to Migration: Financial constraints, lack of experience or qualifications, family obligations or cultural resistance.
Return Plans & Impact: Plans to return, perceived impact on family/community, trust in government youth migration support.
Recommendation Likelihood: Willingness to recommend migration to peers (scale of 1 to 5).
Usage:
This dataset is useful for researchers, data scientists, policymakers, and mental health professionals to understand:
Psychological aspects of youth migration.
Barriers and motivations influencing migration choices.
Support strategies for stressed or at-risk individuals.
Using machine learning and data analytics, it supports models like:
Migration intent prediction (Logistic Regression, Random Forest, XGBoost).
Stress level classification (SVM, Decision Tree).
Cluster analysis of motivations (K-Means, DBSCAN).
Recommendation systems for stress management (ML-kNN, content-based filtering).
Return likelihood and family impact prediction.
These insights can improve policy decisions, mental health awareness, and personalized services for youth.
Data Sources:
Collected from 26,14 individuals including university students, professionals, urban and rural residents across Bangladesh through survey online and face-to-face methods; all data standardized via Google Forms. The dataset’s csv file size is 1.10 kb.
DOI: 10.15468/dl.vxu3t4
title: Occurrence Download

description: A dataset containing 142440 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterfly monitoring scheme in Flanders, Belgium"
 ]
}

 The dataset includes 142440 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050158-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/06159
title: Chandra X-ray Observatory ObsId 06159

description: Monitoring the Spatial Variation of the ACIS Contaminant with Abell 1795
DOI: 10.25574/06161
title: Chandra X-ray Observatory ObsId 06161

description: Monitoring the Spatial Variation of the ACIS Contaminant with Abell 1795
DOI: 10.15468/dl.e6vja2
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus parviflorus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050180-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bquvak
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus parviflorus",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050181-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17047629
title: Redistribution of soil phosphorus fractions alleviates phosphorus limitations following afforestation

description: Afforestation plays a crucial role in mitigating climate change, yet the transfer of soil phosphorus (P) to aboveground biomass may lead to soil P limitation. However, the influences of afforestation on soil P fractions and availability remain unclear. Here, we investigated soil P fractions at 144 paired sampling sites by comparing afforested lands with adjacent non-afforested lands in subtropical China.
DOI: 10.5281/zenodo.17047630
title: Redistribution of soil phosphorus fractions alleviates phosphorus limitations following afforestation

description: Afforestation plays a crucial role in mitigating climate change, yet the transfer of soil phosphorus (P) to aboveground biomass may lead to soil P limitation. However, the influences of afforestation on soil P fractions and availability remain unclear. Here, we investigated soil P fractions at 144 paired sampling sites by comparing afforested lands with adjacent non-afforested lands in subtropical China.
DOI: 10.17632/d2tpkh2ysk
title: COMPARISON BETWEEN CLSSICAL MODELS (VAR& VECM) & A.I(ANN & RNN INCLUDING LTSM & GRU) MODELS.

description: This Python script performs a comprehensive comparison of classical time series models and AI-based models on synthetic financial datasets. It generates synthetic gold price data (Open, Close, High, Low) and banking data (Interest Rate, Deposits, Loans, Exchange Rate) for 200 daily observations. The script then:

Applies classical models – VAR (Vector Autoregression) and VECM (Vector Error Correction Model) – to analyze relationships between gold prices and banking indicators and to forecast future prices.

Implements AI models – ANN (Artificial Neural Network), Simple RNN, LSTM, and GRU – to predict gold prices based on bank data sequences.

Evaluates model performance using RMSE and R² metrics.

Plots the actual gold prices, AI predictions, and VAR/VECM forecasts in a single figure for direct visual comparison.

The script is written in a single-page format, making it easy to run and modify. It demonstrates the effectiveness of classical econometric models versus AI sequence models in financial forecasting.

Author: Prof. Eldirdiri Fadol Ibrahim
DOI: 10.15468/dl.q2yg9g
title: Occurrence Download

description: A dataset containing 331596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Streptoprocne zonaris"
 ]
}

 The dataset includes 331596 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050098-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kadpe8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus parviflorus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050182-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d2tpkh2ysk.1
title: COMPARISON BETWEEN CLSSICAL MODELS (VAR& VECM) & A.I(ANN & RNN INCLUDING LTSM & GRU) MODELS.

description: This Python script performs a comprehensive comparison of classical time series models and AI-based models on synthetic financial datasets. It generates synthetic gold price data (Open, Close, High, Low) and banking data (Interest Rate, Deposits, Loans, Exchange Rate) for 200 daily observations. The script then:

Applies classical models – VAR (Vector Autoregression) and VECM (Vector Error Correction Model) – to analyze relationships between gold prices and banking indicators and to forecast future prices.

Implements AI models – ANN (Artificial Neural Network), Simple RNN, LSTM, and GRU – to predict gold prices based on bank data sequences.

Evaluates model performance using RMSE and R² metrics.

Plots the actual gold prices, AI predictions, and VAR/VECM forecasts in a single figure for direct visual comparison.

The script is written in a single-page format, making it easy to run and modify. It demonstrates the effectiveness of classical econometric models versus AI sequence models in financial forecasting.

Author: Prof. Eldirdiri Fadol Ibrahim
DOI: 10.17632/bh922rwnc9
title: pumice_mwifa xrd data

description: XRD data for pumice_solida waste incienrator based alkali-activated geopolymers
DOI: 10.17632/bh922rwnc9.1
title: pumice_mwifa xrd data

description: XRD data for pumice_solida waste incienrator based alkali-activated geopolymers
DOI: 10.17632/rswzyxd9sr
title: Distributions of Membrane Lipids (3-Hydroxy Fatty Acids and Branched GDGTs) in Global Soil: Insights into Temperature and pH Variations

description: The spreadsheet includes the isomeric distribution of 3-hydroxy fatty acids (3-OH FAs) and branched glycerol dialkyl glycerol tetraethers (brGDGTs) at both regional and global scales. It also contains data on total organic carbon (TOC%), total nitrogen (TN%), δ¹³C, δ¹⁵N, and various environmental parameters, such as temperature, precipitation, pH, soil moisture content, and average grain size.
DOI: 10.17632/rswzyxd9sr.1
title: Distributions of Membrane Lipids (3-Hydroxy Fatty Acids and Branched GDGTs) in Global Soil: Insights into Temperature and pH Variations

description: The spreadsheet includes the isomeric distribution of 3-hydroxy fatty acids (3-OH FAs) and branched glycerol dialkyl glycerol tetraethers (brGDGTs) at both regional and global scales. It also contains data on total organic carbon (TOC%), total nitrogen (TN%), δ¹³C, δ¹⁵N, and various environmental parameters, such as temperature, precipitation, pH, soil moisture content, and average grain size.
DOI: 10.15468/dl.5jsrm8
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Agonum duftschmidi"
 ]
}

 The dataset includes 101 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050183-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.