cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16418519
title: LEGN-CARA

description: # LEGN-CARA: Graph-based Recommendation System for Respiratory Health Risk Mitigation

## 🌍 Overview

This repository presents **LEGN-CARA**, a novel computational framework that leverages **graph neural networks (GNNs)** and **counterfactual analysis** to mitigate respiratory health risks associated with **climate change** and **biodiversity loss**. The system integrates environmental exposure data, spatial-temporal modeling, and health outcomes to deliver **personalized and interpretable health risk assessments**.

## 📌 Key Features

- **Latent Exposure Graph Network (LEGN)**: Models complex spatial and temporal relationships between environmental exposures.- **Counterfactual-Augmented Risk Attribution (CARA)**: Simulates hypothetical exposure scenarios to assess individual and population-level risk attributions.- **Multi-modal Data Fusion**: Integrates environmental, behavioral, and health data streams.- **Interpretable AI**: Gradient-based attribution and attention mechanisms provide transparent insights into risk factors.- **Scalable Deployment**: Modular design suitable for low-resource settings and diverse geographies.

## 🧠 Methodology

### 1. Latent Exposure Graph Network (LEGN)- Uses **graph-based representation learning** to capture interactions between pollutants and environmental features.- Applies **temporal encoding** using GRUs and **self-attention** for long-range dependencies.- Includes a **spatial fusion module** to incorporate neighborhood-level information.

### 2. Counterfactual-Augmented Risk Attribution (CARA)- Computes risk scores by simulating changes in exposure values.- Introduces **stability and sparsity constraints** for robust attribution.- Enhances interpretability via **information-theoretic calibration**.

## 🧪 Experiments

Experiments were conducted on standard human pose datasets (COCO, MPII, Human3.6M, LSP), treating keypoint detection tasks as proxy evaluations for model adaptability and robustness.

### 📈 Performance Highlights:| Dataset | Accuracy | Recall | F1 Score | AUC ||---------|----------|--------|----------|-----|| COCO    | 91.35%   | 88.43% | 89.76%   | 92.28% || MPII    | 90.21%   | 86.55% | 88.18%   | 91.03% || Human3.6M | 90.62% | 87.84% | 88.93%   | 91.76% || LSP     | 89.35%   | 85.66% | 87.41%   | 90.08% |

### ⚙️ Ablation Studies:Confirmed the necessity of:- LEGN (graph modeling)- CARA (counterfactual reasoning)- Temporal self-attention

## 📂 Structure
DOI: 10.5281/zenodo.16418520
title: LEGN-CARA

description: # LEGN-CARA: Graph-based Recommendation System for Respiratory Health Risk Mitigation

## 🌍 Overview

This repository presents **LEGN-CARA**, a novel computational framework that leverages **graph neural networks (GNNs)** and **counterfactual analysis** to mitigate respiratory health risks associated with **climate change** and **biodiversity loss**. The system integrates environmental exposure data, spatial-temporal modeling, and health outcomes to deliver **personalized and interpretable health risk assessments**.

## 📌 Key Features

- **Latent Exposure Graph Network (LEGN)**: Models complex spatial and temporal relationships between environmental exposures.- **Counterfactual-Augmented Risk Attribution (CARA)**: Simulates hypothetical exposure scenarios to assess individual and population-level risk attributions.- **Multi-modal Data Fusion**: Integrates environmental, behavioral, and health data streams.- **Interpretable AI**: Gradient-based attribution and attention mechanisms provide transparent insights into risk factors.- **Scalable Deployment**: Modular design suitable for low-resource settings and diverse geographies.

## 🧠 Methodology

### 1. Latent Exposure Graph Network (LEGN)- Uses **graph-based representation learning** to capture interactions between pollutants and environmental features.- Applies **temporal encoding** using GRUs and **self-attention** for long-range dependencies.- Includes a **spatial fusion module** to incorporate neighborhood-level information.

### 2. Counterfactual-Augmented Risk Attribution (CARA)- Computes risk scores by simulating changes in exposure values.- Introduces **stability and sparsity constraints** for robust attribution.- Enhances interpretability via **information-theoretic calibration**.

## 🧪 Experiments

Experiments were conducted on standard human pose datasets (COCO, MPII, Human3.6M, LSP), treating keypoint detection tasks as proxy evaluations for model adaptability and robustness.

### 📈 Performance Highlights:| Dataset | Accuracy | Recall | F1 Score | AUC ||---------|----------|--------|----------|-----|| COCO    | 91.35%   | 88.43% | 89.76%   | 92.28% || MPII    | 90.21%   | 86.55% | 88.18%   | 91.03% || Human3.6M | 90.62% | 87.84% | 88.93%   | 91.76% || LSP     | 89.35%   | 85.66% | 87.41%   | 90.08% |

### ⚙️ Ablation Studies:Confirmed the necessity of:- LEGN (graph modeling)- CARA (counterfactual reasoning)- Temporal self-attention

## 📂 Structure
DOI: 10.15468/dl.b5fxrr
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oryza sativa",
 "Year 1898-2024"
 ]
}

 The dataset includes 445 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044255-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhhyze
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arisaema ringens"
 ]
}

 The dataset includes 744 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044256-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqrpy3
title: Occurrence Download

description: A dataset containing 3571 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coryphaenoides rupestris"
 ]
}

 The dataset includes 3571 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044254-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk3jan
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus spinosus",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044257-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdys98
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus spinosus",
 "Country is Haiti",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044258-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99p93m
title: Occurrence Download

description: A dataset containing 42206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Nicotiana glauca"
 ]
}

 The dataset includes 42206 records from 420 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044253-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g94t6k
title: Occurrence Download

description: A dataset containing 165213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gallinula chloropus",
 "MediaType is Image"
 ]
}

 The dataset includes 165213 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044228-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4f25f41e-21c4-4f55-b4ef-aace3aae10ac
title: Questionnaire data on Scale for Evaluating STEM Teachers' Identity

description: This study targeted STEM teachers in China, collecting data in two phases via online surveys. In total, 535 STEM teachers participated.In the first round(from December 20, 2023, to December 27, 2023), 241 questionnaires were collected; after excluding invalid responses, 233 valid questionnaires remained.In the second round(from December 28, 2023, to January 8, 2024), 320 questionnaires were collected; after excluding invalid responses, 302 valid questionnaires remained.<br>Affiliations:Xueqi Xu, School of Education, Guangzhou University, Guangzhou, China；Lin Yang, Center of Network and Modern Educational Technology, Guangzhou University, Guangzhou, China;Pengze Wu, School of Information Technology in Education, South China Normal University, Guangzhou, China;Xuerou Yin, School of Education, Guangzhou University, Guangzhou, China.
DOI: 10.4121/4f25f41e-21c4-4f55-b4ef-aace3aae10ac.v1
title: Questionnaire data on Scale for Evaluating STEM Teachers' Identity

description: This study targeted STEM teachers in China, collecting data in two phases via online surveys. In total, 535 STEM teachers participated.In the first round(from December 20, 2023, to December 27, 2023), 241 questionnaires were collected; after excluding invalid responses, 233 valid questionnaires remained.In the second round(from December 28, 2023, to January 8, 2024), 320 questionnaires were collected; after excluding invalid responses, 302 valid questionnaires remained.<br>Affiliations:Xueqi Xu, School of Education, Guangzhou University, Guangzhou, China；Lin Yang, Center of Network and Modern Educational Technology, Guangzhou University, Guangzhou, China;Pengze Wu, School of Information Technology in Education, South China Normal University, Guangzhou, China;Xuerou Yin, School of Education, Guangzhou University, Guangzhou, China.
DOI: 10.15468/dl.ctmbty
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Hungary",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044261-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtw8r4
title: Occurrence Download

description: A dataset containing 1941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens parviflora",
 "Country is Finland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1941 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044260-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szeqvn
title: Occurrence Download

description: A dataset containing 3586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gavia pacifica",
 "MediaType is Image"
 ]
}

 The dataset includes 3586 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044262-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dyeb2
title: Occurrence Download

description: A dataset containing 3134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucojum aestivum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3134 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044263-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1927
title: Spirobisindane-based hole transporting materials for conventional and indoor halide perovskite solar cells

description: Data contained are for Nuclear magnetic resonance (NMR), Absorption and fluorescence, Cyclic and Sweep Wave voltammetry, Thermogravimetric analysis (TGA), Differential scanning calorimetry (DSC), Infrared spectroscopy, and Density functional theory (DFT). This is to allow for reproducibility where and when needed.
DOI: 10.15468/dl.d4y8we
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044264-250717081556266/datasets/export for details.
DOI: 10.15468/dl.8kujhg
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cymopterus melanotilingia"
 ]
}

 The dataset includes 257 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044265-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dczays
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola humilis"
 ]
}

 The dataset includes 97 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044266-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y2tf8a
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypopygus benoneae)",
 "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 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044268-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8z5q75
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Egretta thula)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 418 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044267-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16325653
title: Large benthic foraminifera endobiome datasets

description: All R codes and datasets here contribute to better understand the roles of endobiotic partners (diatoms and bacteria) within diatom-bearing large benthic foraminifera.
DOI: 10.5281/zenodo.16325654
title: Large benthic foraminifera endobiome datasets

description: All R codes and datasets here contribute to better understand the roles of endobiotic partners (diatoms and bacteria) within diatom-bearing large benthic foraminifera.
DOI: 10.15468/dl.zwwdex
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola juparensis"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044269-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm65xy
title: Occurrence Download

description: A dataset containing 95212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Garrulus glandarius",
 "MediaType is Image"
 ]
}

 The dataset includes 95212 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044240-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n34nht
title: Occurrence Download

description: A dataset containing 1053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola kirilowii"
 ]
}

 The dataset includes 1053 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044271-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ekuv7
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurythyrea aurata"
 ]
}

 The dataset includes 92 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044272-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16418547
title: Supplemenatry Data for Mulder et al. 2025: Zircon inheritance refines the Cambrian orogenic architecture of southeast Australia
DOI: 10.5281/zenodo.16418546
title: Supplemenatry Data for Mulder et al. 2025: Zircon inheritance refines the Cambrian orogenic architecture of southeast Australia
DOI: 10.15468/dl.rtbhey
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus spinosus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044275-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.je8ash
title: Occurrence Download

description: A dataset containing 1170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens parviflora",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1170 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044273-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16311477
title: A Bayesian perspective on single-shot laser characterization - Supplementing Dataset

description: This dataset is supporting material to the paper ''A Bayesian perspective on single-shot laser characterization" and consists of preprocessed Single-Shot FALCON data ('slopes_stacked.npy') and the corresponding timestamps ('timestamps_in_min.npy'). The dataset was obtained by analyzing raw Single-Shot FALCON images by separating the individual filter parts and extracting the local microlense foci shifts compared to a reference. In this case, the reference is an averaged image taken before the dataset, as only relative changes over time and not absolute values are shown in the paper. The shifts of the microlense foci were converted into local tilts of the wavefront. They were scaled to include the demagnification of the laser beam before imaging the near field. Lenslets without sufficient illumination, or that resulted in faulty values for other reasons, were excluded for all measurements.

The structure of the set is the following:

[index, lenslet position horizontal, lenslet position vertical, slope orientation, filter]



index ranges from 0 to 698 and identifies each single-shot measurement. It corresponds to the entry in 'timestamps_in_min.npy'.

lenslet position horizontal/vertical range from 0 to 28. For plt.imshow(), these are the dimensions that should be plotted.

slope orientation is either 0 or 1. Each local wavefront tilt is expressed in two coordinates. 0 corresponds to horizontal, 1 corresponds to vertical direction.

filter ranges from 0 to 8 and indicates which section, according to the filter, is considered. Indices are associated with the filters with the following central wavelength in nm in order: [763.0, 771.5, 781.1, 790.3, 804.1, 809.7, 827.4, 830.6, 842.6]. The total spectra are shown in Figure 4 of the paper.


Values in the dataset are in rad.

Every step in processing this dataset is described in the paper.