cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hfw6vv2t9b.2
title: Ministromatolite modular framework reef, ~1.5 Ga, North China

description: A small lensoid mound, with cavernous framework formed by microbial carbonate, occurs in the ~1500-million-year-old (Myr) Wumishan Formation at Yesanpo, northern China. It consists of column and cones composed of innumerable conjoined ministromatolites, each ≤2 cm wide. The irregular, decimetric, framework cavities contain carbonate mud, pisoids, and marine cement. Geochemical signatures, together with traces of organic filaments in the ministromatolites, are consistent with slight oxygenation. The role of ministromatolites in creating this modular framework can broadly be compared with that of polyps in present-day scleractinian coral colonies. Cavernous habitats create extraordinary biodiversity in present-day tropical coral reefs. Yesanpo, currently the oldest known framework reef, predates earliest reported reef-dwelling animals by ~600 Myr. As oxygenation increased in the Late Proterozoic, microbial reef frameworks - similar in structure to Yesanpo - may have been occupied by cryptic biota. These habitats provide prime targets in the continued search for early marine animal life.
DOI: 10.17632/hmpys9rr6s
title: Data for "Age-Related Directional Asymmetry in the Rod-and-Frame Test"

description: This dataset includes data from 39 young adult subjects and 50 older adult subjects who participated in the Virtual Reality Rod and Frame Test. Each subject completed one trial for each frame tilt angle. The frame tilt angles range from −45° to +45° in 5° increments. Data for each subject group are stored in separate CSV files. In the dataset, the first two columns correspond to age and sex, while the remaining columns correspond to the different frame tilt angles. Each row represents an individual subject. Additionally, the dataset includes a video demonstrating two example trials of the experiment.
DOI: 10.17632/hmpys9rr6s.1
title: Data for "Age-Related Directional Asymmetry in the Rod-and-Frame Test"

description: This dataset includes data from 39 young adult subjects and 50 older adult subjects who participated in the Virtual Reality Rod and Frame Test. Each subject completed one trial for each frame tilt angle. The frame tilt angles range from −45° to +45° in 5° increments. Data for each subject group are stored in separate CSV files. In the dataset, the first two columns correspond to age and sex, while the remaining columns correspond to the different frame tilt angles. Each row represents an individual subject. Additionally, the dataset includes a video demonstrating two example trials of the experiment.
DOI: 10.15468/dl.j5uq3g
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stirellus bicolor"
 ]
}

 The dataset includes 2252 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004349-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r2mwwz4xy6
title: A Multi-Chain Framework for Decentralized Conservation through a Multitoken Economy

description: This document outlines a roadmap for a decentralized conservation ecosystem designed to transition the global community from "Climate Storytelling" to "Climate Agency". By synthesizing natural philosophy, blockchain technology, and Artificial Intelligence, the framework establishes a verifiable, incentivized mechanism for planetary regeneration.

Core Purpose: Bridging the "Trust Gap" The primary goal is to address the systemic failures of traditional conservation finance, which often suffers from administrative "leakage" and a lack of real-time impact verification. 

The framework aims to:

Mobilize Capital: Help bridge the $20 billion annual nature finance gap mandated by the Kunming-Montreal Global Biodiversity Framework.

Empower Local Custodians: Direct funding and ecological intelligence to Indigenous Peoples and local communities (IPLCs) who protect the majority of the world's biodiversity.

Institutionalize Nature as an Asset: Move from symbolic offsets to a mathematically verified foundation for the planetary economy.

Nature of the Framework: The "Archipelago of Trust" Rather than relying on a single, monolithic blockchain, the document proposes a Multi-Chain Framework comprising four distinct, interoperable layers to optimize for security, liquidity, and sovereignty.

LayerName Primary Function

Layer 1 Truth Chain: Immutable ledger for content authenticity and hashing scientific data.

Layer 2 Impact Chain: A high-speed environment for the liquid market of BioImpact Tokens (BITs).

Layer 3: Governance Chain: Manages the DAO's voting mechanisms, identity (SBTs), and treasury.

Layer 4 Sovereign Chains Independent chains providing absolute data sovereignty for local communities.

Scope and Technical Innovation
The scope of this proposal is global, designed to integrate with established institutions like the UNESCO Man and the Biosphere (MAB) Programme and its network of 759 reserves.

Verifiable BioImpactT he framework utilizes Eco-Oracles—a network of IoT sensors and satellite imagery—to feed data into the "Scientific Mesh 2.0". 

This system calculates a Multidimensional Biodiversity Index (MBI) to ensure a "Proof of Net Gain":
MBI = w_1 A + w_2 P + w_3 N + w_4 S + w_5 R

Where A is area, P is productivity, N is connectivity, S is species richness, and R is rarity.

Multitoken Economy
Economic value is managed through a tripartite or dual-token model:

BioImpact Tokens (BITs): Semi-fungible assets (ERC-1155) representing verified ecological outcomes that can be traded or retired for ESG requirements.

Soulbound Tokens (SBTs): Non-transferable reputation tokens awarded to experts and indigenous leaders to grant them veto power in the Guardian Chamber.

Solving Adoption Friction
To ensure the technology is accessible to those on the ground, the framework integrates Account Abstraction (ERC-4337), allowing for "gasless" transactions and social recovery of wallets, effectively making the blockchain invisible to the end-user.
DOI: 10.17632/r2mwwz4xy6.1
title: A Multi-Chain Framework for Decentralized Conservation through a Multitoken Economy

description: This document outlines a roadmap for a decentralized conservation ecosystem designed to transition the global community from "Climate Storytelling" to "Climate Agency". By synthesizing natural philosophy, blockchain technology, and Artificial Intelligence, the framework establishes a verifiable, incentivized mechanism for planetary regeneration.

Core Purpose: Bridging the "Trust Gap" The primary goal is to address the systemic failures of traditional conservation finance, which often suffers from administrative "leakage" and a lack of real-time impact verification. 

The framework aims to:

Mobilize Capital: Help bridge the $20 billion annual nature finance gap mandated by the Kunming-Montreal Global Biodiversity Framework.

Empower Local Custodians: Direct funding and ecological intelligence to Indigenous Peoples and local communities (IPLCs) who protect the majority of the world's biodiversity.

Institutionalize Nature as an Asset: Move from symbolic offsets to a mathematically verified foundation for the planetary economy.

Nature of the Framework: The "Archipelago of Trust" Rather than relying on a single, monolithic blockchain, the document proposes a Multi-Chain Framework comprising four distinct, interoperable layers to optimize for security, liquidity, and sovereignty.

LayerName Primary Function

Layer 1 Truth Chain: Immutable ledger for content authenticity and hashing scientific data.

Layer 2 Impact Chain: A high-speed environment for the liquid market of BioImpact Tokens (BITs).

Layer 3: Governance Chain: Manages the DAO's voting mechanisms, identity (SBTs), and treasury.

Layer 4 Sovereign Chains Independent chains providing absolute data sovereignty for local communities.

Scope and Technical Innovation
The scope of this proposal is global, designed to integrate with established institutions like the UNESCO Man and the Biosphere (MAB) Programme and its network of 759 reserves.

Verifiable BioImpactT he framework utilizes Eco-Oracles—a network of IoT sensors and satellite imagery—to feed data into the "Scientific Mesh 2.0". 

This system calculates a Multidimensional Biodiversity Index (MBI) to ensure a "Proof of Net Gain":
MBI = w_1 A + w_2 P + w_3 N + w_4 S + w_5 R

Where A is area, P is productivity, N is connectivity, S is species richness, and R is rarity.

Multitoken Economy
Economic value is managed through a tripartite or dual-token model:

BioImpact Tokens (BITs): Semi-fungible assets (ERC-1155) representing verified ecological outcomes that can be traded or retired for ESG requirements.

Soulbound Tokens (SBTs): Non-transferable reputation tokens awarded to experts and indigenous leaders to grant them veto power in the Guardian Chamber.

Solving Adoption Friction
To ensure the technology is accessible to those on the ground, the framework integrates Account Abstraction (ERC-4337), allowing for "gasless" transactions and social recovery of wallets, effectively making the blockchain invisible to the end-user.
DOI: 10.17632/zs8b39n8md
title: (Dataset) UAVs for Healthcare Logistics, review

description: This dataset compiles and systematizes bibliographic records analyzed in a systematic review on AI-enabled UAVs for healthcare logistics. It includes study classification, research questions, evidence levels, and quality indicators, supporting transparency, reproducibility, and future meta-analytical research in medical drone deployment.
DOI: 10.17632/zs8b39n8md.1
title: (Dataset) UAVs for Healthcare Logistics, review

description: This dataset compiles and systematizes bibliographic records analyzed in a systematic review on AI-enabled UAVs for healthcare logistics. It includes study classification, research questions, evidence levels, and quality indicators, supporting transparency, reproducibility, and future meta-analytical research in medical drone deployment.
DOI: 10.17632/ccvmzwxwjv
title: Multi-Species Inventory of Biomass and Carbon Sequestration Potential of Tree Species across Gujarat’s Regional Ecosystems, India

description: This dataset presents an exhaustive dendrometric and biochemical analysis of various tree species found in the Western and Northern regions of Gujarat, India. The primary motivation for this collection is the lack of localized allometric data for common regional species such as Madhuca longifolia and Mangifera indica when grown in specific soil-climatic zones like Banaskantha, Junagadh, and Dahod. By providing a direct link between physical parameters (radius and height) and environmental outputs (Total Biomass and CO2 Tonnes), this dataset enables researchers to move beyond generalized tropical forest averages toward high-precision, species-specific modeling. The data was generated through a rigorous field-to-model pipeline designed to minimize measurement error and maximize reproducibility. The dataset consists of 120 records with 15 variables. The data has undergone extensive statistical validation to ensure its utility for predictive modeling and environmental auditing. The dataset reveals a wide spectrum of carbon storage, from saplings sequestering &lt;1 kg to massive mature specimens like Bombex ceiba (Bombacaceae), which recorded a total biomass of over 3.7 million kg. The mean height across the dataset is 20.38 meters, with a mean CO2 sequestration of 215.9 tonnes per specimen. A Pearson correlation analysis confirms a near-perfect relationship between Radius and Carbon Weight (r = 0.94), suggesting that trunk girth is the most reliable field-measurable proxy for carbon content. A Multiple Linear Regression model was developed. The model achieved an R2 value of 0.7737, indicating that 77.4% of the variance in carbon sequestration can be predicted solely from these two physical dimensions. Using the Shapiro-Wilk test, it was determined that the carbon distribution is non-normal (p &lt; 0.05), exhibiting a heavy right tail due to "megatrees”. Consequently, a Kruskal-Wallis H-test was applied to compare sequestration across the top 5 botanical families. The result (p = 0.078) indicates that while family-level differences exist, the variance in age and size within a single family often outweighs inter-family differences in this regional context. This dataset is designed for modular use by various stakeholders, Environmental Researchers, Urban Forestry Planners, Policy Makers and Educational Use. As a "Gold Standard" dataset for teaching biostatistics and allometric modeling in botany and environmental science programs. Every record in this dataset has been audited for mathematical consistency. Data cleaning protocols were used to identify and verify "mega-specimen" outliers, ensuring that the high values recorded (e.g., in the Junagadh and Banaskantha records) are biologically plausible given the reported dimensions. The current dataset is standard for preliminary regional audits, researchers seeking sub-gram precision are encouraged to cross-reference these findings with species-specific specific gravity tables provided in the documentation.
DOI: 10.17632/ccvmzwxwjv.1
title: Multi-Species Inventory of Biomass and Carbon Sequestration Potential of Tree Species across Gujarat’s Regional Ecosystems, India

description: This dataset presents an exhaustive dendrometric and biochemical analysis of various tree species found in the Western and Northern regions of Gujarat, India. The primary motivation for this collection is the lack of localized allometric data for common regional species such as Madhuca longifolia and Mangifera indica when grown in specific soil-climatic zones like Banaskantha, Junagadh, and Dahod. By providing a direct link between physical parameters (radius and height) and environmental outputs (Total Biomass and CO2 Tonnes), this dataset enables researchers to move beyond generalized tropical forest averages toward high-precision, species-specific modeling. The data was generated through a rigorous field-to-model pipeline designed to minimize measurement error and maximize reproducibility. The dataset consists of 120 records with 15 variables. The data has undergone extensive statistical validation to ensure its utility for predictive modeling and environmental auditing. The dataset reveals a wide spectrum of carbon storage, from saplings sequestering &lt;1 kg to massive mature specimens like Bombex ceiba (Bombacaceae), which recorded a total biomass of over 3.7 million kg. The mean height across the dataset is 20.38 meters, with a mean CO2 sequestration of 215.9 tonnes per specimen. A Pearson correlation analysis confirms a near-perfect relationship between Radius and Carbon Weight (r = 0.94), suggesting that trunk girth is the most reliable field-measurable proxy for carbon content. A Multiple Linear Regression model was developed. The model achieved an R2 value of 0.7737, indicating that 77.4% of the variance in carbon sequestration can be predicted solely from these two physical dimensions. Using the Shapiro-Wilk test, it was determined that the carbon distribution is non-normal (p &lt; 0.05), exhibiting a heavy right tail due to "megatrees”. Consequently, a Kruskal-Wallis H-test was applied to compare sequestration across the top 5 botanical families. The result (p = 0.078) indicates that while family-level differences exist, the variance in age and size within a single family often outweighs inter-family differences in this regional context. This dataset is designed for modular use by various stakeholders, Environmental Researchers, Urban Forestry Planners, Policy Makers and Educational Use. As a "Gold Standard" dataset for teaching biostatistics and allometric modeling in botany and environmental science programs. Every record in this dataset has been audited for mathematical consistency. Data cleaning protocols were used to identify and verify "mega-specimen" outliers, ensuring that the high values recorded (e.g., in the Junagadh and Banaskantha records) are biologically plausible given the reported dimensions. The current dataset is standard for preliminary regional audits, researchers seeking sub-gram precision are encouraged to cross-reference these findings with species-specific specific gravity tables provided in the documentation.
DOI: 10.15468/dl.3z67ry
title: Occurrence Download

description: A dataset containing 17202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andigena nigrirostris",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17202 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004348-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9rvygvfxxp
title: Survey Dataset on Technology Adoption, Ethics, and Innovation in Chinese Manufacturing Enterprises (N = 111)

description: This dataset contains anonymized survey responses from 111 participants employed in Chinese manufacturing enterprises. The survey was designed to examine the roles of technology, workplace ethics, and innovation in digital transformation by extending the Technology Acceptance Model (TAM).

The dataset includes measures of perceived usefulness (PU), perceived ease of use (PEU), workplace ethics, innovation culture, and actual technology use, along with selected demographic variables (e.g., age group, work experience, departmental affiliation). All attitudinal items were measured using a 5-point Likert scale.

The data were analyzed using descriptive statistics, Pearson correlation, and multiple linear regression to assess relationships between normative organizational factors and technology adoption. The dataset has been fully anonymized, and no personally identifiable information is included.
DOI: 10.17632/9rvygvfxxp.1
title: Survey Dataset on Technology Adoption, Ethics, and Innovation in Chinese Manufacturing Enterprises (N = 111)

description: This dataset contains anonymized survey responses from 111 participants employed in Chinese manufacturing enterprises. The survey was designed to examine the roles of technology, workplace ethics, and innovation in digital transformation by extending the Technology Acceptance Model (TAM).

The dataset includes measures of perceived usefulness (PU), perceived ease of use (PEU), workplace ethics, innovation culture, and actual technology use, along with selected demographic variables (e.g., age group, work experience, departmental affiliation). All attitudinal items were measured using a 5-point Likert scale.

The data were analyzed using descriptive statistics, Pearson correlation, and multiple linear regression to assess relationships between normative organizational factors and technology adoption. The dataset has been fully anonymized, and no personally identifiable information is included.
DOI: 10.17632/kksdy2cny8
title: Raw data for Rubidium and Potassium Isotope Fractionation during Chemical Weathering

description: The dataset includes a csv file containing geochemical data of Cayce Diabase saprolites compiled from this and previous studies. See the article for full information.
DOI: 10.17632/kksdy2cny8.1
title: Raw data for Rubidium and Potassium Isotope Fractionation during Chemical Weathering

description: The dataset includes a csv file containing geochemical data of Cayce Diabase saprolites compiled from this and previous studies. See the article for full information.
DOI: 10.17632/vddyd42gpr
title: Replication Package v.2 "When trade policy uncertainty disrupts critical mineral supply: Evidence from China’s rare earth exports and global oil markets"

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/vddyd42gpr.1
title: Replication Package v.2 "When trade policy uncertainty disrupts critical mineral supply: Evidence from China’s rare earth exports and global oil markets"

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/fzhk5mn8mp
title: Replication package for "When trade policy uncertainty disrupts critical mineral supply: Evidence from China’s rare earth exports and global oil markets""

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/fzhk5mn8mp.2
title: Replication package for "When trade policy uncertainty disrupts critical mineral supply: Evidence from China’s rare earth exports and global oil markets""

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/9wvwcrpgcs
title: Multi-Fidelity Knowledge Transfer for Construction and Demolition Waste Prediction in Data-Scarce Chinese Cities

description: Source data of the paper “Multi-Fidelity Knowledge Transfer for Construction and Demolition Waste Prediction in Data-Scarce Chinese Cities”
DOI: 10.17632/9wvwcrpgcs.1
title: Multi-Fidelity Knowledge Transfer for Construction and Demolition Waste Prediction in Data-Scarce Chinese Cities

description: Source data of the paper “Multi-Fidelity Knowledge Transfer for Construction and Demolition Waste Prediction in Data-Scarce Chinese Cities”
DOI: 10.17632/9wgw2f93pm
title: Treatments utilized in jmf

description: Supplemental Table 1: Treatments utilized in jMF
DOI: 10.5281/zenodo.18748972
title: eurypetalum_tessmannii_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18748973
title: eurypetalum_tessmannii_decontaminated_FSCR.fasta.gz
DOI: 10.17632/9wgw2f93pm.1
title: Treatments utilized in jmf

description: Supplemental Table 1: Treatments utilized in jMF
DOI: 10.17632/phyh6m3bzj.1
title: EDIT Databases - Manufacturing

description: EDIT Databases - Manufacturing