cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16744547
title: Synthetic Gold Investor Behavior Dataset

description: Dataset Description

The Synthetic Gold Investor Behavior Dataset contains 500 anonymized records generated to simulate investor demographics and behavioral patterns in gold markets. Each record includes:



Investor_ID: Unique identifier

Age: Age of investor (20–65)

Access_Mode_Code: Encoded as 100 (Web), 101 (App), 102 (Branch)

Confidence_Score_Value: Trust score in digital platforms (150–210)

Preferred_Asset_Code: Encoded as 301 (Jewellery), 302 (Digital Gold), 304 (ETF), 305 (Gold Bonds)

Investment_Frequency: Monthly investment frequency (1–10 times)

Investment_Amount: Monthly investment in INR (₹1,000–₹50,000)


The dataset is suitable for SPSS statistical analysis and machine learning models in scikit-learn.
DOI: 10.5281/zenodo.16744548
title: Synthetic Gold Investor Behavior Dataset

description: Dataset Description

The Synthetic Gold Investor Behavior Dataset contains 500 anonymized records generated to simulate investor demographics and behavioral patterns in gold markets. Each record includes:



Investor_ID: Unique identifier

Age: Age of investor (20–65)

Access_Mode_Code: Encoded as 100 (Web), 101 (App), 102 (Branch)

Confidence_Score_Value: Trust score in digital platforms (150–210)

Preferred_Asset_Code: Encoded as 301 (Jewellery), 302 (Digital Gold), 304 (ETF), 305 (Gold Bonds)

Investment_Frequency: Monthly investment frequency (1–10 times)

Investment_Amount: Monthly investment in INR (₹1,000–₹50,000)


The dataset is suitable for SPSS statistical analysis and machine learning models in scikit-learn.
DOI: 10.17632/x6sr8jd9vm
title: The RNA expression level of each gene in samples left on the transfer catheters

description: Samples left on the transfer catheter after cleavage stage embryos transfer (day 3, D3, presumable pre-receptivity, n=96) and blastocysts transfer (day 5, D5, presumable receptivity, n=127) in 223 ART patients who achieved successful clinical pregnancies subsequently were collected. The RNA expression level of each gene was estimated by FPKM (fragments per kilobase million).
DOI: 10.15468/dl.s8h2ny
title: Occurrence Download

description: A dataset containing 49268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis coronata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 49268 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014836-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x6sr8jd9vm.1
title: The RNA expression level of each gene in samples left on the transfer catheters

description: Samples left on the transfer catheter after cleavage stage embryos transfer (day 3, D3, presumable pre-receptivity, n=96) and blastocysts transfer (day 5, D5, presumable receptivity, n=127) in 223 ART patients who achieved successful clinical pregnancies subsequently were collected. The RNA expression level of each gene was estimated by FPKM (fragments per kilobase million).
DOI: 10.17632/nk7xmgbzr7
title: Significance of temperature-rearing conditions for shaping the responses of an aphid parasitoid under thermal stress

description: Data set of the article "Significance of temperature-rearing conditions for shaping the responses of an aphid parasitoid under thermal stress"
DOI: 10.17632/nk7xmgbzr7.1
title: Significance of temperature-rearing conditions for shaping the responses of an aphid parasitoid under thermal stress

description: Data set of the article "Significance of temperature-rearing conditions for shaping the responses of an aphid parasitoid under thermal stress"
DOI: 10.15468/dl.p62ehs
title: Occurrence Download

description: A dataset containing 232204 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 (Fulica cristata)",
 "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 232204 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014807-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sr6tbx3w42
title: Disparities in Survival and Tumor Characteristics in Patients With Single and Multiple Primary Merkel Cell Carcinomas

description: Supplementary materials for the original article titled “Disparities in Survival and Tumor Characteristics in Patients With Single and Multiple Primary Merkel Cell Carcinomas”

Patient Consent: All data were de-identified and publicly available, thus the study was exempt from institutional review board approval and informed consent.

Finding: Despite a low prevalence of MPMCC, patients with MCC have a 60-fold increased risk of subsequent MCC compared with the general population. Second primary MCCs were generally smaller, and mainly diagnosed within five years after the initial MCC. MPMCC was associated with significantly worse overall and cancer-specific survival than SPMCC. These findings suggest that intensified follow-up strategies are warranted for patients with MPMCC to reduce overall and cancer-specific mortality among MCC survivors.
DOI: 10.15468/dl.be5qc9
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 {
 "or" : [
 "Geometry POLYGON((90 25,98 25,98 35,90 35,90 25))",
 "Geometry POLYGON((90 20,98 20,98 35,90 35,90 20))",
 "Geometry POLYGON((94 29,97 29,97 31,94 31,94 29))",
 "Geometry POLYGON((94 20,97 20,97 31,94 31,94 20))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca mulatta",
 "Year 2010-2025"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014839-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sr6tbx3w42.1
title: Disparities in Survival and Tumor Characteristics in Patients With Single and Multiple Primary Merkel Cell Carcinomas

description: Supplementary materials for the original article titled “Disparities in Survival and Tumor Characteristics in Patients With Single and Multiple Primary Merkel Cell Carcinomas”

Patient Consent: All data were de-identified and publicly available, thus the study was exempt from institutional review board approval and informed consent.

Finding: Despite a low prevalence of MPMCC, patients with MCC have a 60-fold increased risk of subsequent MCC compared with the general population. Second primary MCCs were generally smaller, and mainly diagnosed within five years after the initial MCC. MPMCC was associated with significantly worse overall and cancer-specific survival than SPMCC. These findings suggest that intensified follow-up strategies are warranted for patients with MPMCC to reduce overall and cancer-specific mortality among MCC survivors.
DOI: 10.17632/6v2g4n3y64
title: Impact of SWCC measurement methods on the numerical investigations of unsaturated soils. (Tebessa)

description: The soil-water characteristic curve SWCC, also known as the soil-water retention curve SWRC, describes the relationship between soil suction and water content in unsaturated soils. Many studies rely on specific laboratory testing methods without considering their impact on numerical simulations. This research investigates the effect of different SWCC measurement techniques on numerical modeling outcomes. Soil samples from the Tebessa region were tested using three methods: the filter paper method, the osmotic technique, and the axis translation technique. Numerical simulations were then conducted using FLAC software to analyze the influence of these methods on the hydromechanical properties of unsaturated soils and slope stability under two days of wetting conditions. The results indicate that the selected SWCC measurement method significantly affects the predicted vertical suction profile and influence the factor of safety (FOS) in slope stability analysis. This suggests that while accurate suction measurements are crucial for understanding soil behavior, their overall impact on slope stability predictions varies depending on the testing technique employed.
DOI: 10.17632/6v2g4n3y64.1
title: Impact of SWCC measurement methods on the numerical investigations of unsaturated soils. (Tebessa)

description: The soil-water characteristic curve SWCC, also known as the soil-water retention curve SWRC, describes the relationship between soil suction and water content in unsaturated soils. Many studies rely on specific laboratory testing methods without considering their impact on numerical simulations. This research investigates the effect of different SWCC measurement techniques on numerical modeling outcomes. Soil samples from the Tebessa region were tested using three methods: the filter paper method, the osmotic technique, and the axis translation technique. Numerical simulations were then conducted using FLAC software to analyze the influence of these methods on the hydromechanical properties of unsaturated soils and slope stability under two days of wetting conditions. The results indicate that the selected SWCC measurement method significantly affects the predicted vertical suction profile and influence the factor of safety (FOS) in slope stability analysis. This suggests that while accurate suction measurements are crucial for understanding soil behavior, their overall impact on slope stability predictions varies depending on the testing technique employed.
DOI: 10.17632/d5xccmsmkm
title: Dolui_FTICR

description: Code and raw data used for visualization of molecular composition (from FTICR-MS data processed by MetaboDirect) of Brady paleosol and modern soils using van Krevelen diagrams (occurence of group-specific compounds in chemical space defined by H:C vs O:C ratios) and stacked bar charts, as well as statistical comparisons of molecular class abundance amongst groups.
DOI: 10.17632/d5xccmsmkm.1
title: Dolui_FTICR

description: Code and raw data used for visualization of molecular composition (from FTICR-MS data processed by MetaboDirect) of Brady paleosol and modern soils using van Krevelen diagrams (occurence of group-specific compounds in chemical space defined by H:C vs O:C ratios) and stacked bar charts, as well as statistical comparisons of molecular class abundance amongst groups.
DOI: 10.17632/jfpzx7hcz2.2
title: Data for: A Validated White Cast Scoring Method for Mineral Sunscreens

description: The study addresses a significant gap in sunscreen development. No official method exists to quantify white cast, and consumer compliance with sunscreen application depends largely on its cosmetic elegance. Therefore, designing mineral sunscreens for diverse skin tones that are cosmetically elegant is a challenge. The published study presents a validated white cast scoring protocol that combines objective L* value measurements with subjective consumer feedback to provide a quantitative approach for evaluating the cosmetic elegance of mineral sunscreens across diverse skin tones. The available data are the results of our in vitro and in vivo protocols, which are presented as L* values to measure whiteness and subjective data from the volunteers' demographics and their thoughts on white cast from mineral sunscreens. Using these results, we developed a scoring system that offers an innovative and standardized quantitative tool for evaluating and refining mineral sunscreen formulations. This is critical for cosmetic scientists and formulators who aim to contribute to the development of more cosmetically elegant sunscreens suitable for a wide range of skin tones.
DOI: 10.15468/dl.3mxc4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Farlowella venezuelensis)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014838-250802193616735/datasets/export for details.
DOI: 10.15468/dl.4k3tm8
title: Occurrence Download

description: A dataset containing 31558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis flaveola)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 31558 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014837-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uepwsx
title: Occurrence Download

description: A dataset containing 3368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is one of (Suffolk Biodiversity Information Service (SBIS) Dataset, NBIS Records to December 2016)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Triturus cristatus",
 "Year 1980-2025"
 ]
}

 The dataset includes 3368 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014840-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7nhytjd9m8
title: Military-affiliated Ministers in Republican Governments (1923-2025)

description: This submission includes two distinct but related datasets that provide a detailed quantitative analysis of the presence of military-affiliated individuals in Turkish cabinets. The data covers the period from 1920 to 2025 and serves to illustrate the extent of the military's influence within the executive branch of the Turkish government.

Dataset 1: "Table 4. Military-affiliated Ministers in Turkish Cabinets (1920-2025)"
This dataset provides a comprehensive list of all ministers who had a military background, organized by the cabinet they served in. The dataset includes the following variables:

Government Number: The sequential number of the cabinet.

Cabinet Name: The name of the cabinet (e.g., The 1st Government of the Executive Committee, The 2nd Government of İsmet İnönü).

Years in Office: The time period during which the cabinet was in power.

Name of the Minister: The full name of the minister with a military background.

Ministry: The specific ministry or portfolio held by the individual (e.g., Ministry of National Defense, Ministry of Foreign Affairs).

Highest Military Rank: The highest rank the individual attained in the Turkish Armed Forces.

Years of Military Service: The duration of the individual's service in the military.

Dataset 2: "Table 5. Military-affiliated Ministers by Cabinet (1920-2025)"
This dataset provides a statistical summary of the number of military-affiliated ministers for each cabinet. It offers a macro-level view of the trends over time and includes the following variables:

Government Number: The sequential number of the cabinet.

Total Number of Ministers: The total number of ministers in the cabinet.

Number of Military-affiliated Ministers: The count of ministers in the cabinet with a military background.

Percentage of Military-affiliated Ministers: The calculated percentage of military-affiliated ministers relative to the total number of ministers in the cabinet.

Both datasets were compiled through a meticulous review of official cabinet lists, biographical records, and government archives. They are suitable for longitudinal statistical analysis, allowing researchers to track the historical evolution of military presence in the executive branch and to correlate these trends with major political events and shifts in civil-military relations in Turkey.
DOI: 10.17632/7nhytjd9m8.1
title: Military-affiliated Ministers in Republican Governments (1923-2025)

description: This submission includes two distinct but related datasets that provide a detailed quantitative analysis of the presence of military-affiliated individuals in Turkish cabinets. The data covers the period from 1920 to 2025 and serves to illustrate the extent of the military's influence within the executive branch of the Turkish government.

Dataset 1: "Table 4. Military-affiliated Ministers in Turkish Cabinets (1920-2025)"
This dataset provides a comprehensive list of all ministers who had a military background, organized by the cabinet they served in. The dataset includes the following variables:

Government Number: The sequential number of the cabinet.

Cabinet Name: The name of the cabinet (e.g., The 1st Government of the Executive Committee, The 2nd Government of İsmet İnönü).

Years in Office: The time period during which the cabinet was in power.

Name of the Minister: The full name of the minister with a military background.

Ministry: The specific ministry or portfolio held by the individual (e.g., Ministry of National Defense, Ministry of Foreign Affairs).

Highest Military Rank: The highest rank the individual attained in the Turkish Armed Forces.

Years of Military Service: The duration of the individual's service in the military.

Dataset 2: "Table 5. Military-affiliated Ministers by Cabinet (1920-2025)"
This dataset provides a statistical summary of the number of military-affiliated ministers for each cabinet. It offers a macro-level view of the trends over time and includes the following variables:

Government Number: The sequential number of the cabinet.

Total Number of Ministers: The total number of ministers in the cabinet.

Number of Military-affiliated Ministers: The count of ministers in the cabinet with a military background.

Percentage of Military-affiliated Ministers: The calculated percentage of military-affiliated ministers relative to the total number of ministers in the cabinet.

Both datasets were compiled through a meticulous review of official cabinet lists, biographical records, and government archives. They are suitable for longitudinal statistical analysis, allowing researchers to track the historical evolution of military presence in the executive branch and to correlate these trends with major political events and shifts in civil-military relations in Turkey.
DOI: 10.17632/nkbgydybr4
title: Gut Microbiota and Peptides: Key Players in Obesity

description: Obesity is a growing global epidemic associated with various metabolic disorders, including insulin resistance and cardiovascular diseases. The gut microbiota has emerged as a key player in obesity, influencing metabolic homeostasis through its interaction with gut peptides that regulate appetite and energy balance. This cross-sectional study investigated the relationship between gut microbiota composition and fasting gut peptides in people with obesity (POB) and normal weight (NW) Lebanese individuals. The study recruited 53 participants (30 POB, 23 NW) and assessed anthropometric, biochemical, and gut microbiota profiles. Results indicated significant differences in gut microbiota composition between the groups, with Lachnoclostridium being abundant in individuals with obesity and Peptococcus, Ruminococcus, and others more prevalent in NW individuals. Gut peptides such as ghrelin, GLP-1, and PYY showed significant associations with specific bacterial genera, suggesting a potential role of gut microbiota in metabolic regulation. Notably, GLP-1 levels were higher in POB and negatively associated with Butyricimonas and Ruminococcaceae species, while PYY levels were also higher in POB and negatively correlated with Alistipes and Parasutterella. These findings highlight the intricate interplay between gut microbiota and metabolic hormones, providing insights into potential microbiota-based strategies for obesity management. Further research is needed to understand casual links, the underlying mechanisms and their implications for therapeutic interventions.
DOI: 10.17632/nkbgydybr4.1
title: Gut Microbiota and Peptides: Key Players in Obesity

description: Obesity is a growing global epidemic associated with various metabolic disorders, including insulin resistance and cardiovascular diseases. The gut microbiota has emerged as a key player in obesity, influencing metabolic homeostasis through its interaction with gut peptides that regulate appetite and energy balance. This cross-sectional study investigated the relationship between gut microbiota composition and fasting gut peptides in people with obesity (POB) and normal weight (NW) Lebanese individuals. The study recruited 53 participants (30 POB, 23 NW) and assessed anthropometric, biochemical, and gut microbiota profiles. Results indicated significant differences in gut microbiota composition between the groups, with Lachnoclostridium being abundant in individuals with obesity and Peptococcus, Ruminococcus, and others more prevalent in NW individuals. Gut peptides such as ghrelin, GLP-1, and PYY showed significant associations with specific bacterial genera, suggesting a potential role of gut microbiota in metabolic regulation. Notably, GLP-1 levels were higher in POB and negatively associated with Butyricimonas and Ruminococcaceae species, while PYY levels were also higher in POB and negatively correlated with Alistipes and Parasutterella. These findings highlight the intricate interplay between gut microbiota and metabolic hormones, providing insights into potential microbiota-based strategies for obesity management. Further research is needed to understand casual links, the underlying mechanisms and their implications for therapeutic interventions.
DOI: 10.17632/tjgh2kj89j.1
title: Gallium isotope ratios in Mars and 4 Vesta as a result of evaporative loss

description: All parameters required for the calculations presented in this article are provided to facilitate readers’ understanding of the equations and the underlying research logic.