cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mk2kt3
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptogium cochleatum",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 148 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014446-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c6fvk
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etheostoma obama",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014447-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bruwgv
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptogium burgessii",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 170 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014448-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk3mdx
title: Occurrence Download

description: A dataset containing 2257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anadenanthera colubrina cebil",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2257 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014449-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/4nrgje
title: Small Acalypterate Families Recording Scheme - records via iRecord

description: This recording scheme covers 15 families of acalypterate flies, each of which contains a relatively small number of species. The dataset contains records verified via iRecord (including records sourced from iNaturalist UK). Records for four families are currently included: Aulacigastridae, Braulidae, Dryomyzidae and Piophilidae. Additional families will be added in future. The Recording Scheme was first formed in 1999 (Dipterists Forum Bulletin #47) in anticipation of improved expertise, interest, records and recording methodology. Such conditions were met in 2022.
DOI: 10.15468/dl.teujag
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aztekium ritteri",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014450-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15536.83203
title: Seer Ising model: Methodology & Data Availability
DOI: 10.15468/dl.ym7yax
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etheostoma maculatum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 492 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014451-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8j84gk
title: Occurrence Download

description: A dataset containing 832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptogium cyanescens",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 832 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014452-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbv4he
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aristolochia cymbifera",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 205 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014453-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkwye5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphantha werdermannii",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014454-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18628300
title: Synthetic Dataset for the Privacy Risk Index (PRI) Model

description: This dataset contains 500 synthetic web tracking environments generatedto evaluate the Privacy Risk Index (PRI) model described in:

Rohit Kumar, "A Unified Privacy Risk Index for Quantifying Ecosystem-Level Web Tracking Leakage."

The dataset includes normalized values of identifier entropy,tracker density, cross-site behavioral correlation,third-party data-sharing ratio, network leakage coefficient,and computed PRI scores.

The dataset was generated using Python with NumPy and NetworkX.
DOI: 10.5281/zenodo.18628299
title: Synthetic Dataset for the Privacy Risk Index (PRI) Model

description: This dataset contains 500 synthetic web tracking environments generatedto evaluate the Privacy Risk Index (PRI) model described in:

Rohit Kumar, "A Unified Privacy Risk Index for Quantifying Ecosystem-Level Web Tracking Leakage."

The dataset includes normalized values of identifier entropy,tracker density, cross-site behavioral correlation,third-party data-sharing ratio, network leakage coefficient,and computed PRI scores.

The dataset was generated using Python with NumPy and NetworkX.
DOI: 10.4121/fb2b2d59-3fea-47e1-9f26-3cdf2d21d6e1
title: Data supporting the publication: Microsphere-assisted generation of localized optical emitters in 2D hexagonal boron nitride

description: Crystal defects in hexagonal boron nitride (hBN) are emerging as versatile nanoscale optical probes with a wide application profile, spanning the fields of nanophotonics, biosensing, bioimaging, and quantum information processing. However, generating these crystal defects as reliable optical emitters remains challenging due to the need for deterministic defect placement and precise control of the emission area. Here, we demonstrate an approach that integrates microspheres with hBN crystal lattices to enhance both hBN defect generation and optical signal readout. This technique harnesses microspheres to amplify light–matter interactions at the nanoscale through two mechanisms: focused femtosecond (fs) laser irradiation into a photonic nanojet (PNJ) for highly localized defect generation and enhanced light collection via the whispering gallery mode (WGM) effect. Our microsphere-assisted defect generation method reduces the emission area by a factor of 5 and increases the fluorescence collection efficiency by approximately 10 times compared to microsphere-free samples. These advancements in defect generation precision and signal collection efficiency open new possibilities for optical emitter manipulation in hBN, with potential applications in quantum technologies and nanoscale sensing.
DOI: 10.4121/fb2b2d59-3fea-47e1-9f26-3cdf2d21d6e1.v1
title: Data supporting the publication: Microsphere-assisted generation of localized optical emitters in 2D hexagonal boron nitride

description: Crystal defects in hexagonal boron nitride (hBN) are emerging as versatile nanoscale optical probes with a wide application profile, spanning the fields of nanophotonics, biosensing, bioimaging, and quantum information processing. However, generating these crystal defects as reliable optical emitters remains challenging due to the need for deterministic defect placement and precise control of the emission area. Here, we demonstrate an approach that integrates microspheres with hBN crystal lattices to enhance both hBN defect generation and optical signal readout. This technique harnesses microspheres to amplify light–matter interactions at the nanoscale through two mechanisms: focused femtosecond (fs) laser irradiation into a photonic nanojet (PNJ) for highly localized defect generation and enhanced light collection via the whispering gallery mode (WGM) effect. Our microsphere-assisted defect generation method reduces the emission area by a factor of 5 and increases the fluorescence collection efficiency by approximately 10 times compared to microsphere-free samples. These advancements in defect generation precision and signal collection efficiency open new possibilities for optical emitter manipulation in hBN, with potential applications in quantum technologies and nanoscale sensing.
DOI: 10.5281/zenodo.18606029
title: Benchmarking machine learning and ensemble approaches for remote sensing–based forest aboveground carbon mapping

description: This dataset supports the manuscript entitled “Benchmarking machine learning and ensemble approaches for remote sensing–based forest aboveground carbon mapping.”

The repository contains the processed datasets and source code used to develop and evaluate multiple machine learning models for estimating forest aboveground carbon (AGC) storage using multi-source remote sensing data.

Specifically, the repository includes:





Training and validation samplesField-derived aboveground carbon measurements linked with corresponding remote sensing predictor variables.




Remote sensing–derived feature variablesProcessed spectral indices, environmental variables, and auxiliary predictors used in model development.




Model performance resultsEvaluation metrics for different machine learning models, feature selection strategies, hyperparameter optimization methods, and ensemble configurations.




Predicted AGC outputsModel-based AGC estimation results used to generate spatial carbon maps.
DOI: 10.5281/zenodo.18606028
title: Benchmarking machine learning and ensemble approaches for remote sensing–based forest aboveground carbon mapping

description: This dataset supports the manuscript entitled “Benchmarking machine learning and ensemble approaches for remote sensing–based forest aboveground carbon mapping.”

The repository contains the processed datasets and source code used to develop and evaluate multiple machine learning models for estimating forest aboveground carbon (AGC) storage using multi-source remote sensing data.

Specifically, the repository includes:





Training and validation samplesField-derived aboveground carbon measurements linked with corresponding remote sensing predictor variables.




Remote sensing–derived feature variablesProcessed spectral indices, environmental variables, and auxiliary predictors used in model development.




Model performance resultsEvaluation metrics for different machine learning models, feature selection strategies, hyperparameter optimization methods, and ensemble configurations.




Predicted AGC outputsModel-based AGC estimation results used to generate spatial carbon maps.
DOI: 10.15468/dl.g75zn9
title: Occurrence Download

description: A dataset containing 1573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notropis percobromus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 1573 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014456-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsahwj
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptochidium albociliatum",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014457-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18628173
title: Data and Code for: Capital Uncertainty and the Efficiency Frontier of Climate Adaptation

description: Description

 

This archive provides the complete data and computational resources supporting the study “Capital Uncertainty and the Efficiency Frontier of Climate Adaptation.” It is designed to ensure methodological transparency and enable full reproducibility of the stochastic frontier analysis used to evaluate climate adaptation interventions under capital cost uncertainty.

 

The research assesses a portfolio of adaptation measures using an output-oriented Variable Returns to Scale (VRS) Data Envelopment Analysis framework combined with typology-specific Extreme Value modeling of cost overruns. Technical efficiency is evaluated within a Monte Carlo simulation environment to derive the Stochastic Robustness Index (SRI), a metric capturing the persistence of efficiency under conditions of epistemic volatility in capital expenditures.

 

To strengthen decision-chain transparency, adaptation interventions were pre-selected through a Multi-Criteria Assessment (MCA) process. The anonymized MCA scoring matrix included in this archive enables independent verification of the pathway linking portfolio construction, stochastic cost generation, frontier estimation, and robustness diagnostics.

 

Contents of the archive include:

 





An anonymized intervention-level dataset for the adaptation portfolio




MCA scoring data used for portfolio selection




Typology-specific parameters for Extreme Value cost sampling




A linear-programming implementation of an output-oriented VRS DEA frontier




Monte Carlo simulation code for estimating the Stochastic Robustness Index




Sensitivity-testing utilities examining volatility gradients and systemic cost correlation




Posterior predictive validation scripts




Supplementary technical documentation aligned with the manuscript



 

 

Reproducibility

 

All stochastic procedures use fixed random seeds to ensure computational reproducibility. The archive is self-contained and executable using standard scientific Python libraries without specialized hardware.

 

Data Availability Note

 

Datasets are anonymized to preserve confidentiality while maintaining the statistical properties required for replication. Original policy datasets may be available from the author upon reasonable request, subject to institutional data-sharing restrictions.
DOI: 10.5281/zenodo.18628174
title: Data and Code for: Capital Uncertainty and the Efficiency Frontier of Climate Adaptation

description: Description

 

This archive provides the complete data and computational resources supporting the study “Capital Uncertainty and the Efficiency Frontier of Climate Adaptation.” It is designed to ensure methodological transparency and enable full reproducibility of the stochastic frontier analysis used to evaluate climate adaptation interventions under capital cost uncertainty.

 

The research assesses a portfolio of adaptation measures using an output-oriented Variable Returns to Scale (VRS) Data Envelopment Analysis framework combined with typology-specific Extreme Value modeling of cost overruns. Technical efficiency is evaluated within a Monte Carlo simulation environment to derive the Stochastic Robustness Index (SRI), a metric capturing the persistence of efficiency under conditions of epistemic volatility in capital expenditures.

 

To strengthen decision-chain transparency, adaptation interventions were pre-selected through a Multi-Criteria Assessment (MCA) process. The anonymized MCA scoring matrix included in this archive enables independent verification of the pathway linking portfolio construction, stochastic cost generation, frontier estimation, and robustness diagnostics.

 

Contents of the archive include:

 





An anonymized intervention-level dataset for the adaptation portfolio




MCA scoring data used for portfolio selection




Typology-specific parameters for Extreme Value cost sampling




A linear-programming implementation of an output-oriented VRS DEA frontier




Monte Carlo simulation code for estimating the Stochastic Robustness Index




Sensitivity-testing utilities examining volatility gradients and systemic cost correlation




Posterior predictive validation scripts




Supplementary technical documentation aligned with the manuscript



 

 

Reproducibility

 

All stochastic procedures use fixed random seeds to ensure computational reproducibility. The archive is self-contained and executable using standard scientific Python libraries without specialized hardware.

 

Data Availability Note

 

Datasets are anonymized to preserve confidentiality while maintaining the statistical properties required for replication. Original policy datasets may be available from the author upon reasonable request, subject to institutional data-sharing restrictions.
DOI: 10.15468/dl.f93h49
title: Occurrence Download

description: A dataset containing 1357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbergia miscolobium",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1357 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014458-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18529771
title: MDSimulationData4GPR174-Gs/Gi&P2Y1R-Gs

description: MD simulation data files and analysis results for the GPR174-Gs / GPR174-Gi / P2Y1R-Gs systems.
DOI: 10.5281/zenodo.18529770
title: MDSimulationData4GPR174-Gs/Gi&P2Y1R-Gs

description: MD simulation data files and analysis results for the GPR174-Gs / GPR174-Gi / P2Y1R-Gs systems.
DOI: 10.5281/zenodo.18031043
title: અમદાવાદ Ahmedabad (Gujarat). The Second Plate of Ahmedabad Grant of Sīyaka

description: અમદાવાદ Ahmedabad (Gujarat). The Second Plate of Ahmedabad Grant of Sīyaka
description: Getty TGN ID: 7547426 Ahmadābād Getty ATT ID: 300027253 Land grantCoordinates: 23.0316473 72.5709503
DOI: 10.5281/zenodo.17825434
title: અમદાવાદ Ahmedabad (Gujarat). The Second Plate of Ahmedabad Grant of Sīyaka

description: અમદાવાદ Ahmedabad (Gujarat). The Second Plate of Ahmedabad Grant of Sīyaka
description: Getty TGN ID: 7547426 Ahmadābād Getty ATT ID: 300027253 Land grantCoordinates: 23.0316473 72.5709503
DOI: 10.15468/dl.kh772g
title: Occurrence Download

description: A dataset containing 10016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinocactus horizonthalonius",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 10016 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014459-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bv5b2q
title: Occurrence Download

description: A dataset containing 1527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clinostomus elongatus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 1527 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014460-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtjpuy
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vestergrenopsis elaeina",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014462-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.