cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18236846
title: Family Level Synthesis Phylogeny of Extant Arthropoda and Related Phyla

description: A synthesis tree of 3,245 extant families of Panarthropods was created manually on Treegraph2 utilizing 216 phylogenetic and taxonomic sources. It is inteded for use for ecology, biogeogaphy, comparative biology, and, if possible, conservation research. A full explanation for the construction of the synthesis tree can be accessed in the Methods and References document. 

NOTE: Several families were mistakenly put into the tree twice (Dynomenidae, Erebonnasteridae, Laemobothriiae, Paraphronimidae, and Tegeocranellidae). Duplicates were removed, and the number of standing families is at 3,223.

NOTE2: Errors in the Stomatopod phylogeny were fixed with a redundant source removed. Some explanations in the Methods document were elaborated on.

NOTE3: Phylogeny of Araneae was updated, with changes to the topology of Atypoidea, Lycosoidea, Araneoidea, Dionycha, 'Marronoidea', an Austrochiloidea. The families Hexurellidae, Megahexuride, Mecicobothriidae, Dolomedidae, Ancylometidae, Synaphridae, Fonteferridae, Udubidae, Myrmeciculatoridae, Trachycosmidae, Cithaeronidae, Cicurinidae, Telemidae, Archoleptonetidae, Melloinidae, Psilodercidae, and Rhytidicolidae were added. Additionally, Pergieopidae, Theridiidae, Lamponidae, Synotaxidae, and Senoculidae, despite being included in the original source for the topology of Araneae, were omitted by mistake and are now placed in their updated positions. Other changes include the removal of Heptathelidae and Mackenziellidae (as they are now considered synonymous with Liphistiidae and Sminthurididae respectively) (WSC https://wsc.nmbe.ch/ and Collembola.org https://www.collembola.org/), the addition of Adelphacaridae to Palaeacaroidea, and changing the positions of Heteroscorpionidae and Hemiscorpionidae.
DOI: 10.5281/zenodo.17771884
title: Family Level Synthesis Phylogeny of Extant Arthropoda and Related Phyla

description: A synthesis tree of 3,247 extant families of Panarthropods was created manually on Treegraph2 utilizing 214 phylogenetic and taxonomic sources. It is inteded for use for ecology, biogeogaphy, comparative biology, and, if possible, conservation research. A full explanation for the construction of the synthesis tree can be accessed in the Methods and References document. 

NOTE: Several families were mistakenly put into the tree twice (Dynomenidae, Erebonnasteridae, Laemobothriiae, Paraphronimidae, and Tegeocranellidae). Duplicates were removed, and the number of standing families is at 3,223.

NOTE2: Errors in the Stomatopod phylogeny were fixed with a redundant source removed. Some explanations in the Methods document were elaborated on.

NOTE3: Phylogeny of Araneae was updated, with changes to the topology of Atypoidea, Lycosoidea, Araneoidea, Dionycha, 'Marronoidea', an Austrochiloidea. The families Hexurellidae, Megahexuride, Mecicobothriidae, Dolomedidae, Ancylometidae, Synaphridae, Fonteferridae, Udubidae, Myrmeciculatoridae, Trachycosmidae, Cithaeronidae, Cicurinidae, Telemidae, Archoleptonetidae, Melloinidae, Psilodercidae, and Rhytidicolidae were added. Additionally, Pergieopidae, Theridiidae, Lamponidae, Synotaxidae, and Senoculidae, despite being included in the original source for the topology of Araneae, were omitted by mistake and are now placed in their updated positions. Other changes include the removal of Heptathelidae and Mackenziellidae (as they are now considered synonymous with Liphistiidae and Sminthurididae respectively) (WSC https://wsc.nmbe.ch/ and Collembola.org https://www.collembola.org/), the addition of Adelphacaridae to Palaeacaroidea, and changing the positions of Heteroscorpionidae and Hemiscorpionidae.

NOTE4: Phylogeny of Araneae updated with Kulkarni, Wood, et al. (2023) taken as the primary source rather than Wheeler et al. (2016).  The families Probathylepadidae (Thecostraca: Iblomorpha) and Dithinozerconidae (Arachnida, Mesostigmata) were added.
DOI: 10.6084/m9.figshare.31224511
title: <b>Replication Package for “LLM-Assisted Cloud Access Control: A Systematic Review”</b>

description: Replication package for the ACM survey “LLM-Assisted Cloud Access Control: A Systematic Review and Research Agenda for Least-Privilege IAM.”<br>The package contains the systematic review artifacts used in the study, including search queries and collection logs, inclusion and exclusion criteria, screening documentation, and corpus metadata used for qualitative synthesis. All materials are provided in machine-readable formats (e.g., Markdown) to support transparency and partial replication of the survey process.
DOI: 10.6084/m9.figshare.31224511.v1
title: <b>Replication Package for “LLM-Assisted Cloud Access Control: A Systematic Review”</b>

description: Replication package for the ACM survey “LLM-Assisted Cloud Access Control: A Systematic Review and Research Agenda for Least-Privilege IAM.”<br>The package contains the systematic review artifacts used in the study, including search queries and collection logs, inclusion and exclusion criteria, screening documentation, and corpus metadata used for qualitative synthesis. All materials are provided in machine-readable formats (e.g., Markdown) to support transparency and partial replication of the survey process.
DOI: 10.34740/kaggle/dsv/14700792
title: Indonesian Hoax News Dataset
DOI: 10.15468/dl.xxxc4s
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geissois racemosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 42 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005703-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dquqs
title: Occurrence Download

description: A dataset containing 3198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia lavanduloides"
 ]
}

 The dataset includes 3198 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005704-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9h6xvj
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gillbeea adenopetala",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 272 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005705-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gugu8
title: Occurrence Download

description: A dataset containing 3469698518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3469698518 records from 73802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005146-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxb9c3
title: Occurrence Download

description: A dataset listing the 1539 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Museu Paraense Emilio Goeldi - Araneae Collection, Museu Paraense Emilio Goeldi - Lepidoptera Collection, Museu Paraense Emílio Goeldi - Lacertilia Collection, Museu Paraense Emilio Goeldi Herbarium, Field Museum of Natural History (Zoology) Bird Collection, Museu Paraense Emílio Goeldi - Ichthyology Collection)",
 "GadmGid is one of (BRA.14.16_2, BRA.14.83_2, BRA.14.15_2, BRA.14.96_2)"
 ]
}

 The dataset's 1539 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005700-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymwvjt
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hooglandia ignambiensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005707-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdyv3f
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Seymeria decurva"
 ]
}

 The dataset includes 244 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005708-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krbbem
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Karrabina benthamiana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 188 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005709-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.29946.56005
title: INSOLATION STEALTH FACES OF THE UNIFIED POLYHEDRA HYPERION ODYSSEY SPACE MODEL By Panagiotis Stefanides
DOI: 10.25919/34gn-8f88
title: Parkes observations for project P1386 semester 2025OCTS_16

description: J0045-7319 is a B star/pulsar binary in the Small Magellanic Cloud (SMC) with an orbital period of 51 days. The system is highly eccentric, with a closest approach of only 6 B-star radii, and it offers an unusual probe into massive stars in the SMC. Although similar systems exhibit strong dispersion measure (DM) variation during periastron arising from the stellar wind, observations in 1996 on the Parkes 70 cm receiver found no evidence of a wind from the B star. We propose a new set of observations on the Ultra-Wide Low-frequency receiver (UWL) designed to measure the wind. A null result will decrease the known upper limit on the B-star wind's contribution to DM by a factor of 9.
DOI: 10.15468/dl.6a97ge
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamanonia ternata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1214 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005711-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyumwk
title: Occurrence Download

description: A dataset containing 4011 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stevia ovata"
 ]
}

 The dataset includes 4011 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005712-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18451737
title: Dataset for: Data-Driven Characterization of PISA-Based Soil Reaction Curves for Large Diameter Monopiles in Sand

description: Large diameter monopiles are the prevailing foundation concept for offshore wind turbines. While the PISA (Pile Soil Analysis) methodology has established a new standard for accurately predicting the lateral response of these rigid piles, its application typically requires computationally time consuming 1D Finite Element Analysis (FEA) for site-specific calibration. This study presents a data-driven methodology to derive simplified, PISA-consistent design equations for cohesionless soils, eliminating the need for complex numerical simulations in routine design. A comprehensive dataset consisting of 1,000 numerical case studies was generated, covering a wide range of soil stiffness, internal friction angles, and pile geometries. Using automated data mining algorithms, the study analyzed over 115,000 individual data points representing the lateral soil reaction. A hyperbolic model was employed to characterize the non-linear soil response, and the key parameters—initial stiffness (Kini) and ultimate resistance (pult)—were extracted using non-linear least squares optimization. Multiple log-linear regression analysis was performed to establish robust correlations between the PISA-based curve parameters and the soil-geometry properties. The derived model was optimized by enforcing physical constraints to ensure geotechnical consistency. The proposed formulations achieved exceptional statistical accuracy, with coefficients of determination (R2) of 0.99 for ultimate resistance and 0.90 for initial stiffness. These results demonstrate that the developed semi-empirical equations provide a practical and highly accurate tool for engineers to estimate PISA-quality soil reactions for preliminary design.
DOI: 10.5281/zenodo.18451736
title: Dataset for: Data-Driven Characterization of PISA-Based Soil Reaction Curves for Large Diameter Monopiles in Sand

description: Large diameter monopiles are the prevailing foundation concept for offshore wind turbines. While the PISA (Pile Soil Analysis) methodology has established a new standard for accurately predicting the lateral response of these rigid piles, its application typically requires computationally time consuming 1D Finite Element Analysis (FEA) for site-specific calibration. This study presents a data-driven methodology to derive simplified, PISA-consistent design equations for cohesionless soils, eliminating the need for complex numerical simulations in routine design. A comprehensive dataset consisting of 1,000 numerical case studies was generated, covering a wide range of soil stiffness, internal friction angles, and pile geometries. Using automated data mining algorithms, the study analyzed over 115,000 individual data points representing the lateral soil reaction. A hyperbolic model was employed to characterize the non-linear soil response, and the key parameters—initial stiffness (Kini) and ultimate resistance (pult)—were extracted using non-linear least squares optimization. Multiple log-linear regression analysis was performed to establish robust correlations between the PISA-based curve parameters and the soil-geometry properties. The derived model was optimized by enforcing physical constraints to ensure geotechnical consistency. The proposed formulations achieved exceptional statistical accuracy, with coefficients of determination (R2) of 0.99 for ultimate resistance and 0.90 for initial stiffness. These results demonstrate that the developed semi-empirical equations provide a practical and highly accurate tool for engineers to estimate PISA-quality soil reactions for preliminary design.
DOI: 10.5281/zenodo.18451715
title: Transpiler Intervention Killshot Data for Dynamical Information Geometry (DIG)

description: This dataset contains hardware-level quantum computing runs designed to test the robustness of the Dynamical Information Geometry (DIG) twin-sign criterion under pure transpiler interventions.

The experiments implement a controlled “transpiler killshot” protocol: all physical hardware conditions, circuit structure, shot counts, and analysis pipelines are held fixed, while only the transpiler optimization level is varied. This isolates transpiler behavior as the sole intervention.

The dataset includes:

Raw and audit-fixed hardware result files

Complete analysis scripts required to reproduce all reported outcomes

A fully specified README defining the decision logic (Stage-1 / Stage-2) and the twin-sign pass criterion

SHA256 checksums for integrity verification

No model fitting, calibration tuning, or parameter optimization is performed. All conclusions are based exclusively on sign-structure stability as defined in DIG Part IV. The dataset does not introduce new theoretical claims and is intended solely as an intervention-based regime and consistency test.

All results are fully reproducible by third parties using the provided files and instructions.
DOI: 10.5281/zenodo.18451716
title: Transpiler Intervention Killshot Data for Dynamical Information Geometry (DIG)

description: This dataset contains hardware-level quantum computing runs designed to test the robustness of the Dynamical Information Geometry (DIG) twin-sign criterion under pure transpiler interventions.

The experiments implement a controlled “transpiler killshot” protocol: all physical hardware conditions, circuit structure, shot counts, and analysis pipelines are held fixed, while only the transpiler optimization level is varied. This isolates transpiler behavior as the sole intervention.

The dataset includes:

Raw and audit-fixed hardware result files

Complete analysis scripts required to reproduce all reported outcomes

A fully specified README defining the decision logic (Stage-1 / Stage-2) and the twin-sign pass criterion

SHA256 checksums for integrity verification

No model fitting, calibration tuning, or parameter optimization is performed. All conclusions are based exclusively on sign-structure stability as defined in DIG Part IV. The dataset does not introduce new theoretical claims and is intended solely as an intervention-based regime and consistency test.

All results are fully reproducible by third parties using the provided files and instructions.
DOI: 10.15468/dl.pmd2bm
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opocunonia nymanii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 251 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005713-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn3vbv
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence)",
 "Country is Brazil",
 {
 "or" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "Geometry POLYGON((-45.27261 -21.61428,-44.86231 -26.09566,-38.74883 -25.90185,-38.96116 -21.61428,-38.96116 -21.55785,-45.27261 -21.55785,-45.27261 -21.61428))"
 ]
 },
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2026"
 ]
}

 The dataset includes 492 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005714-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dyz6n
title: Occurrence Download

description: A dataset containing 198768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Apodemus sylvaticus"
 ]
}

 The dataset includes 198768 records from 1231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005684-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14507268
title: The social costs of aviation CO2 and contrail cirrus - data & code

description: README

Overview

This repository contains the input data, processed output data, and code used to generate the figures in: Johansson et al. (2025) — The social costs of aviation CO₂ and contrail cirrus, Nature Communications, forthcoming.

The material is archived to ensure transparency and reproducibility of the results presented in the paper.

 

Code

Code – figure 1, 2 and 3-Zenodo-FINAL.py

Script to generate Figures 1–3. Reads M-DICE output and assumption files, processes the data, and generates figures.

Code  – figure 4-Zenodo-FINAL.py

Script to generate Figure 4. Uses the probabilistic contrail social cost estimates to calculate ratios, percentiles, and uncertainty bands, and outputs to generate figure.

Code – figure 5-Zenodo-FINAL.py

Script to generate Figure 5. Processes both Howard & Sterner and Nordhaus damage functions with contrail and CO₂ costs, applies penalties, and plots cumulative distributions with uncertainty ranges and generate figure.

Code – 1000 EF estimates per flight generator-Zenodo-FINAL.py

Script that applies SCC and SCEF values to per-flight emission and forcing data and produces 1000 probabilistic contrail cirrus social cost realizations per flight per discount rate, for use to generate figure 4 and figure 5.

 

Data

figure1data.csv — Source data for Figure 1.

figure2data.csv — Source data for Figure 2.

figure3data.csv — Source data for Figure 3.

figure4data.csv — Source data for Figure 4.

Figure5data – Folder with source data for Figure 5.

 

External Data

To reproduce the figures, the following input files must be available in the working directory:

Final data for paper - DICE output-2020.xlsx

basic paper info.xlsx

2019_Ensembles_filtered.parquet

These contain M-DICE model outputs, basic assumptions, and flight ensemble emission and EF data, respectively.

 

Outputs

Running the scripts will produce:

Figures 1–5 as publication-ready .pdf files.

Corresponding processed CSV files with the numerical values underlying each figure.

In order for the output files to be saved you have to add a folder named "data" in the working directory.

 

Requirements

All scripts are written in Python 3.9+. Required packages: Numpy, pandas, matplotlib, seaborn, scipy, openpyxl.

 

Usage

Ensure input data files are in the correct relative paths (as referenced in the scripts).

Run the script "1000 EF estimates per flight generator-Zenodo-FINAL.py" before running code for figure 4 and figure 5.

If you want access to M-DICE which is used for calculating the social cost of CO2 and social cost of energy forcing contact daniel.johansson@chalmers.se.

 

License

The code and data provided here are made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

 

Citation

If you use this code or data, please cite both the original article and this Zenodo repository:

Johansson, D.J.A., et al. (2025). The social costs of aviation CO₂ and contrail cirrus. Nature Communications.

Zenodo archive: [DOI 10.5281/zenodo.14507268]
DOI: 10.15468/dl.mg3rnk
title: Occurrence Download

description: A dataset containing 32079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parachondrostoma toxostoma)",
 "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 32079 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025413-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.