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

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulmus davidiana"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019593-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpqf6u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uroptychus leptus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019594-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25946/29939681
title: bridgeborders

description: In today’s interconnected world, the globalisation of healthcare presents both opportunities and challenges, particularly for countries like Australia. Large population movements through immigration, international education, medical tourism, and refugee resettlement mean that patients often arrive with complex medical histories and fragmented health records from their countries of origin. This situation highlights the need for seamless integration of international health data into Australia’s electronic health record (EHR) systems. Achieving this integration is vital to ensuring continuity of care, improving patient outcomes, and reducing financial and administrative burdens on healthcare providers. However, this process is complicated by legal, technical, and cultural barriers. Electronic health record systems capture essential patient data such as medical histories, diagnoses, treatments, medications, allergies, and test results. These systems have improved healthcare delivery by enhancing information accessibility, strengthening care coordination, and supporting patient confidentiality. Their adoption in hospitals has grown rapidly, reflecting their potential to improve healthcare quality and efficiency. Yet, despite these benefits, challenges remain. Healthcare professionals face increasing workloads as they manage and input data across multiple platforms, and the complexity only grows when attempting to integrate international health records into domestic systems. This research aims to investigate these challenges in depth and develop evidence-based strategies to optimise the integration of international health data into Australian EHR systems.
DOI: 10.25946/29939681.v1
title: bridgeborders

description: In today’s interconnected world, the globalisation of healthcare presents both opportunities and challenges, particularly for countries like Australia. Large population movements through immigration, international education, medical tourism, and refugee resettlement mean that patients often arrive with complex medical histories and fragmented health records from their countries of origin. This situation highlights the need for seamless integration of international health data into Australia’s electronic health record (EHR) systems. Achieving this integration is vital to ensuring continuity of care, improving patient outcomes, and reducing financial and administrative burdens on healthcare providers. However, this process is complicated by legal, technical, and cultural barriers. Electronic health record systems capture essential patient data such as medical histories, diagnoses, treatments, medications, allergies, and test results. These systems have improved healthcare delivery by enhancing information accessibility, strengthening care coordination, and supporting patient confidentiality. Their adoption in hospitals has grown rapidly, reflecting their potential to improve healthcare quality and efficiency. Yet, despite these benefits, challenges remain. Healthcare professionals face increasing workloads as they manage and input data across multiple platforms, and the complexity only grows when attempting to integrate international health records into domestic systems. This research aims to investigate these challenges in depth and develop evidence-based strategies to optimise the integration of international health data into Australian EHR systems.
DOI: 10.15468/dl.quvsky
title: Occurrence Download

description: A dataset containing 14631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethornis anthophilus",
 "Year 2000-2025"
 ]
}

 The dataset includes 14631 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019595-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17622356
title: Vacuum Inflow Gravity: 3D Generalization and Rotmod LTG Validation

description: Reproducibility package for the paper “Phenomenological Vacuum Inflow with an Effective 3D Scalar Closure for Rotation-Dominated Disk Galaxies”.

The archive bundles– Python code implementing the vacuum-inflow scalar closure, the 3D gas-thickness proxy, and the full 5-fold cross-validation pipeline (code/, run_all.sh).– The SPARC/Rotmod LTG rotation-curve and mass-model archive for 175 late-type, rotation-dominated disk galaxies (data/raw/Rotmod_LTG.zip) together with deterministic 5-fold fold assignments (data/folds/fold_assignments_5fold.csv).– Precomputed per-galaxy metrics and headline summary tables for the vacuum-inflow model and for MOND “simple” and “standard” benchmarks (outputs/, outputs_additional/).– Machine-readable CSV files for all figures and tables in the main text and Supplement (fig_data/, table_data/, indexed by metadata/FIG_TABLE_INDEX_v2.md).– Auxiliary scripts for gas-thickness sweeps, distance–inclination Monte Carlo sensitivity tests, and external-field toy models, plus a full file manifest with SHA-256 checksums (MANIFEST.csv) and a conda environment specification (metadata/environment.yml).

Running run_all.sh or python3 code/run_cv.py in the provided environment regenerates the cross-validated headline results quoted in the paper, including Table 2 and Figures 1–4, together with all robustness checks summarized in the Supplement.

Code is released under the MIT License (metadata/LICENSE). Users of the Rotmod LTG data should also cite Lelli et al. (2016, AJ, 152, 157) and related SPARC papers.
DOI: 10.5281/zenodo.17622357
title: Vacuum Inflow Gravity: 3D Generalization and Rotmod LTG Validation

description: Reproducibility package for the paper “Phenomenological Vacuum Inflow with an Effective 3D Scalar Closure for Rotation-Dominated Disk Galaxies”.

The archive bundles– Python code implementing the vacuum-inflow scalar closure, the 3D gas-thickness proxy, and the full 5-fold cross-validation pipeline (code/, run_all.sh).– The SPARC/Rotmod LTG rotation-curve and mass-model archive for 175 late-type, rotation-dominated disk galaxies (data/raw/Rotmod_LTG.zip) together with deterministic 5-fold fold assignments (data/folds/fold_assignments_5fold.csv).– Precomputed per-galaxy metrics and headline summary tables for the vacuum-inflow model and for MOND “simple” and “standard” benchmarks (outputs/, outputs_additional/).– Machine-readable CSV files for all figures and tables in the main text and Supplement (fig_data/, table_data/, indexed by metadata/FIG_TABLE_INDEX_v2.md).– Auxiliary scripts for gas-thickness sweeps, distance–inclination Monte Carlo sensitivity tests, and external-field toy models, plus a full file manifest with SHA-256 checksums (MANIFEST.csv) and a conda environment specification (metadata/environment.yml).

Running run_all.sh or python3 code/run_cv.py in the provided environment regenerates the cross-validated headline results quoted in the paper, including Table 2 and Figures 1–4, together with all robustness checks summarized in the Supplement.

Code is released under the MIT License (metadata/LICENSE). Users of the Rotmod LTG data should also cite Lelli et al. (2016, AJ, 152, 157) and related SPARC papers.
DOI: 10.15468/dl.q4qm42
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uroptychus medius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019596-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wryxz
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pseudoeurycea orchimelas"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019597-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt8xa9
title: Occurrence Download

description: A dataset containing 6447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Dominican Republic",
 "OccurrenceStatus is Present",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 6447 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019598-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rzsg2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhipidocotyle indicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019599-251120083545085/datasets/export for details.
DOI: 10.15468/dl.vcks2r
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((88.69726 26.48338,92.28202 26.48338,92.28202 28.31608,88.69726 28.31608,88.69726 26.48338))",
 "HasCoordinate is true",
 "TaxonKey is Mycena"
 ]
}

 The dataset includes 664 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019601-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb5ghp
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Eurycea longicauda [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (CM)",
 "StateProvince is one of (Pennsylvania)",
 "EventDate 1900-01-01-2025-11-30"
 ]
 }
 ]
}

 The dataset includes 432 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019603-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x67uy9
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Eurycea longicauda [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (CM)",
 "StateProvince is one of (Pennsylvania)",
 "EventDate 1900-01-01-2025-11-30"
 ]
 }
 ]
}

 The dataset includes 432 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019604-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13939764
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.jjjstm
title: Occurrence Download

description: A dataset containing 1128 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Eurycea bislineata [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (CM)",
 "StateProvince is one of (Pennsylvania)",
 "EventDate 1900-01-01-2025-11-30"
 ]
 }
 ]
}

 The dataset includes 1128 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019605-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.347277
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uroptychus pronus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019606-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcw4vk
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus membranaceus mongholicus"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019608-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjbcnh
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Murex cornurectus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 117 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019609-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y654cn
title: Occurrence Download

description: A dataset containing 1225122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bucerotidae"
 ]
}

 The dataset includes 1225122 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019583-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drx4nc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chicoreus corrigendum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019611-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17750747
title: Machine learning reveals global patterns of fish locomotion

description: This dataset supports a predictive model that infers propulsion patterns of ray-finned fishes (Actinopterygii) based on morphological traits. The model is implemented in Python and uses the Explainable Boosting Machine (EBM), an interpretable machine-learning method. The Python code for model training, evaluation, and prediction is available on: https://github.com/YuanFishLab/Ray-finned-fish-propulsion-pattern-predicted-model

The dataset includes 17,034 morphological trait records representing 4,750 genera of ray-finned fishes. It also provides a movement-video dataset containing 2,966 video links covering 2,047 fish genera, which was used to assign or validate empirical propulsion patterns. The final propulsion-mode dataset reports the predicted propulsion patterns for all 4,750 genera. We have also uploaded example videos and links of 35 types of fish propulsion modes for reference.

Additionally, we provide R scripts and corresponding data files used to analyze the geographic distribution, temperature distribution, and extinction-risk patterns associated with different propulsion modes. These resources allow users to reproduce the spatial and ecological analyses presented in the study. 

Together, the datasets and scripts offer a reproducible and interpretable framework for studying the diversity, evolution, and ecological correlates of propulsion strategies in ray-finned fishes.
DOI: 10.5281/zenodo.17750748
title: Machine learning reveals global patterns of fish locomotion

description: This dataset supports a predictive model that infers propulsion patterns of ray-finned fishes (Actinopterygii) based on morphological traits. The model is implemented in Python and uses the Explainable Boosting Machine (EBM), an interpretable machine-learning method. The Python code for model training, evaluation, and prediction is available on: https://github.com/YuanFishLab/Ray-finned-fish-propulsion-pattern-predicted-model

The dataset includes 17,034 morphological trait records representing 4,750 genera of ray-finned fishes. It also provides a movement-video dataset containing 2,966 video links covering 2,047 fish genera, which was used to assign or validate empirical propulsion patterns. The final propulsion-mode dataset reports the predicted propulsion patterns for all 4,750 genera. We have also uploaded example videos and links of 35 types of fish propulsion modes for reference.

Additionally, we provide R scripts and corresponding data files used to analyze the geographic distribution, temperature distribution, and extinction-risk patterns associated with different propulsion modes. These resources allow users to reproduce the spatial and ecological analyses presented in the study. 

Together, the datasets and scripts offer a reproducible and interpretable framework for studying the diversity, evolution, and ecological correlates of propulsion strategies in ray-finned fishes.
DOI: 10.25946/29433650
title: Evaluation of Historical Capital Gains in Australian Cropping Land– North West New South Wales & South East Queensland Study Region

description: The research aims to examine the trend of, and factors affecting the capital gains associated with cropping land throughout the case study region of North West New South Wales & South East Queensland.
DOI: 10.25946/29433650.v1
title: Evaluation of Historical Capital Gains in Australian Cropping Land– North West New South Wales & South East Queensland Study Region

description: The research aims to examine the trend of, and factors affecting the capital gains associated with cropping land throughout the case study region of North West New South Wales & South East Queensland.
DOI: 10.15468/dl.69su4q
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplomma albimarginatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019613-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240797
title: HIFLD OPEN Bathymetric Contours

description: These data show bathymetric contours (isobaths) that help characterize the general physiographic patterns of the seafloor. Contour intervals are every 10 m from zero to -100 m, every 25 m from -100 m to -500 m, and every 100 m from -500 m to full depth. The DEM utilized was the Global Multi-Resolution Topography Synthesis which is a multi-resolution gridded global Digital Elevation Model that includes cleaned processed ship-based multibeam sonar data at their full spatial resolution (approximately 100m in the deep sea)
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240797v1
title: HIFLD OPEN Bathymetric Contours

description: These data show bathymetric contours (isobaths) that help characterize the general physiographic patterns of the seafloor. Contour intervals are every 10 m from zero to -100 m, every 25 m from -100 m to -500 m, and every 100 m from -500 m to full depth. The DEM utilized was the Global Multi-Resolution Topography Synthesis which is a multi-resolution gridded global Digital Elevation Model that includes cleaned processed ship-based multibeam sonar data at their full spatial resolution (approximately 100m in the deep sea)
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.15468/dl.n35dwd
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Eragrostis lehmanniana"
 ]
}

 The dataset includes 507 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019614-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pt6dt
title: Occurrence Download

description: A dataset containing 429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scinax cruentomma"
 ]
}

 The dataset includes 429 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019617-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnammu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplomma polyophthalma",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019618-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.