cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16311478
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.
DOI: 10.5524/102718
title: Supporting data for "First chromosome-level genome assembly of the colonial chordate model <i>Botryllus schlosseri</i> (Tunicata)"

description: <i>Botryllus schlosseri</i> (Tunicata) is a colonial, laboratory model tunicate recognized for its remarkable developmental diversity, its regenerative abilities, and its peculiar genetically determined allorecognition system governed by a polymorphic locus controlling chimerism and cell parasitism.<br>We report the first chromosome-level genome assembly of <i>B. schlosseri</i> sub-clade A1. By integrating long and short reads with Hi-C scaffolding, we produced both a phased diploid genome assembly and a conventional collapsed consensus sequence of 533 Mb. Of this total length, 96% belonged to 16 chromosome-scale scaffolds, with a BUSCO completeness score of 91.46%. We then compared our assembly with other high-quality tunicate genomes, revealing some synteny conservation but also extensive genomic rearrangements and a general loss of collinearity.<br>The chromosome-level resolution of this assembly enhances our understanding of genome organization in colonial modular organisms. Comparative analyses highlight the dynamic nature of tunicate genomes, with conserved macrosynteny yet extensive microsyntenic rearrangements and scrambling, underscoring their rapid evolutionary trajectory. This high-quality genome assembly provides a valuable resource for exploring the unique biological features of colonial chordates, including their exceptional regenerative abilities and complex allorecognition system.
DOI: 10.15468/dl.utwfff
title: Occurrence Download

description: A dataset containing 3546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cottunculus microps"
 ]
}

 The dataset includes 3546 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044274-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16418576
title: TraffixNet

description: # Integrating Behavioral Planning and Public Health Strategies to Mitigate Road Traffic Crashes

This repository contains the code, models, and datasets related to the research paper titled **"Integrating Behavioral Planning and Public Health Strategies to Mitigate Road Traffic Crashes"**, authored by Weilin Nie. The project explores an innovative framework that synergizes behavioral planning and public health strategies to improve road traffic safety through intelligent systems.

## 🧠 Project Overview

Road traffic crashes (RTCs) are a global public health crisis. Traditional traffic models often fall short in capturing the complex, interactive dynamics between drivers. This research proposes a **multi-modal, graph-based decision-making framework** that integrates behavioral science and public health principles to enhance traffic safety in dynamic, urban environments.

### Key Components:- **Behavioral Dynamics Graph Network (BDGN):**    A graph-based framework that performs real-time inference of social interactions and latent intentions of traffic agents.- **Counterfactual Intention Refinement (CIR):**    A module that refines predictions using hypothetical reasoning and probabilistic simulations to adaptively mitigate risk.- **Graph-Intent Behavioral Planner (GIBP):**    Integrates intention inference and trajectory planning with constraint satisfaction and utility optimization.

## 🏗️ Architecture

The system is composed of three major parts:

1. **Multimodal Encoder**     Extracts spatial and temporal features from agent trajectories.

2. **Graphical Propagation Layer**     Encodes inter-agent relations using message-passing and soft attention mechanisms.

3. **Utility-Driven Planning & CIR**     Plans and refines behavior through constraint-aware, counterfactual simulations.

For detailed architectural diagrams, refer to:- *Figure 1:* GIBP Pipeline (Page 8)- *Figure 2:* Utility Planning Framework (Page 10)- *Figure 3:* CIR Components (Page 10)- *Figure 4:* Stability-Driven Regularization (Page 13)

## 📊 Experimental Results

Tested on four datasets:- **CelebA**- **LSUN**- **FFHQ**- **MNIST**

### Performance Highlights:| Model | Dataset | Accuracy | Recall | F1 Score | AUC ||-------|---------|----------|--------|----------|-----|| **Ours** | CelebA | 89.64% | 86.53% | 87.90% | 91.87% || **Ours** | MNIST | 95.03% | 92.80% | 93.47% | 95.60% |

See Tables 1 & 2 (Pages 15–16) for full benchmarks.

## 🔬 Technologies

- **PyTorch**- **Graph Neural Networks (GNNs)**- **Multi-agent Reinforcement Learning**- **Adversarial Generative Models**- **Distributed Training (DDP)**

## 🧪 Setup and Usage

> Prerequisites:- Python 3.8+- PyTorch ≥ 1.10- CUDA-compatible GPU

```bashgit clone https://github.com/your-username/road-safety-behavioral-planning.gitcd road-safety-behavioral-planningpip install -r requirements.txtpython train.py --config configs/gibp_cir.yaml
DOI: 10.5281/zenodo.16418577
title: TraffixNet

description: # Integrating Behavioral Planning and Public Health Strategies to Mitigate Road Traffic Crashes

This repository contains the code, models, and datasets related to the research paper titled **"Integrating Behavioral Planning and Public Health Strategies to Mitigate Road Traffic Crashes"**, authored by Weilin Nie. The project explores an innovative framework that synergizes behavioral planning and public health strategies to improve road traffic safety through intelligent systems.

## 🧠 Project Overview

Road traffic crashes (RTCs) are a global public health crisis. Traditional traffic models often fall short in capturing the complex, interactive dynamics between drivers. This research proposes a **multi-modal, graph-based decision-making framework** that integrates behavioral science and public health principles to enhance traffic safety in dynamic, urban environments.

### Key Components:- **Behavioral Dynamics Graph Network (BDGN):**    A graph-based framework that performs real-time inference of social interactions and latent intentions of traffic agents.- **Counterfactual Intention Refinement (CIR):**    A module that refines predictions using hypothetical reasoning and probabilistic simulations to adaptively mitigate risk.- **Graph-Intent Behavioral Planner (GIBP):**    Integrates intention inference and trajectory planning with constraint satisfaction and utility optimization.

## 🏗️ Architecture

The system is composed of three major parts:

1. **Multimodal Encoder**     Extracts spatial and temporal features from agent trajectories.

2. **Graphical Propagation Layer**     Encodes inter-agent relations using message-passing and soft attention mechanisms.

3. **Utility-Driven Planning & CIR**     Plans and refines behavior through constraint-aware, counterfactual simulations.

For detailed architectural diagrams, refer to:- *Figure 1:* GIBP Pipeline (Page 8)- *Figure 2:* Utility Planning Framework (Page 10)- *Figure 3:* CIR Components (Page 10)- *Figure 4:* Stability-Driven Regularization (Page 13)

## 📊 Experimental Results

Tested on four datasets:- **CelebA**- **LSUN**- **FFHQ**- **MNIST**

### Performance Highlights:| Model | Dataset | Accuracy | Recall | F1 Score | AUC ||-------|---------|----------|--------|----------|-----|| **Ours** | CelebA | 89.64% | 86.53% | 87.90% | 91.87% || **Ours** | MNIST | 95.03% | 92.80% | 93.47% | 95.60% |

See Tables 1 & 2 (Pages 15–16) for full benchmarks.

## 🔬 Technologies

- **PyTorch**- **Graph Neural Networks (GNNs)**- **Multi-agent Reinforcement Learning**- **Adversarial Generative Models**- **Distributed Training (DDP)**

## 🧪 Setup and Usage

> Prerequisites:- Python 3.8+- PyTorch ≥ 1.10- CUDA-compatible GPU

```bashgit clone https://github.com/your-username/road-safety-behavioral-planning.gitcd road-safety-behavioral-planningpip install -r requirements.txtpython train.py --config configs/gibp_cir.yaml
DOI: 10.15468/dl.tg7m6b
title: Occurrence Download

description: A dataset containing 8271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gelochelidon nilotica",
 "MediaType is Image"
 ]
}

 The dataset includes 8271 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044276-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqzacw
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens parviflora",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 104 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044277-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd6cns
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Viola kusanoana"
 ]
}

 The dataset includes 43 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044278-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15866352
title: Replication Package for: Religion, Education, and the State

description: Bazzi, Samuel, Benjamin Marx, and Masyhur Hilmy, "Religion, Education, and the State," Review of Economic Studies, 2025.
DOI: 10.15468/dl.m9ap4c
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044279-250717081556266/datasets/export for details.
DOI: 10.15468/dl.gkrcwn
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044280-250717081556266/datasets/export for details.
DOI: 10.15468/dl.rmmk7p
title: Occurrence Download

description: A dataset containing 541495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anas fulvigula)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 541495 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044259-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtcgzw
title: Occurrence Download

description: A dataset containing 44288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geothlypis trichas",
 "MediaType is Image"
 ]
}

 The dataset includes 44288 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044281-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sckr9t
title: Occurrence Download

description: A dataset containing 10333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Convallaria majalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10333 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044282-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cubkmr
title: Occurrence Download

description: A dataset containing 1 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 (Ardea purpurea)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044284-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvqxgd
title: Occurrence Download

description: A dataset containing 860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Liriope spicata"
 ]
}

 The dataset includes 860 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044283-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc5ym5w
title: CCDC 177418: Experimental Crystal Structure Determination

description: Related Article: P.Manikandan, K.Padmakumar, K.R.J.Thomas, B.Varghese, H.Onodera, P.T.Manoharan|2001|Inorg.Chem.|40|6930|doi:10.1021/ic010655g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ym6x
title: CCDC 177419: Experimental Crystal Structure Determination

description: Related Article: P.Manikandan, K.Padmakumar, K.R.J.Thomas, B.Varghese, H.Onodera, P.T.Manoharan|2001|Inorg.Chem.|40|6930|doi:10.1021/ic010655g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ym7y
title: CCDC 177420: Experimental Crystal Structure Determination

description: Related Article: P.Manikandan, K.Padmakumar, K.R.J.Thomas, B.Varghese, H.Onodera, P.T.Manoharan|2001|Inorg.Chem.|40|6930|doi:10.1021/ic010655g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc54dym
title: CCDC 153200: Experimental Crystal Structure Determination

description: Related Article: Ying-Ming Yao, Qi Shen, Yue Zhang, Ming-Qiang Xue, Jie Sun|2001|Polyhedron|20|3201|doi:10.1016/S0277-5387(01)00939-1
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc54dzn
title: CCDC 153201: Experimental Crystal Structure Determination

description: Related Article: Ying-Ming Yao, Qi Shen, Yue Zhang, Ming-Qiang Xue, Jie Sun|2001|Polyhedron|20|3201|doi:10.1016/S0277-5387(01)00939-1
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ypvm
title: CCDC 177501: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ypwn
title: CCDC 177502: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ypxp
title: CCDC 177503: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ypyq
title: CCDC 177504: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5ypzr
title: CCDC 177505: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yq0t
title: CCDC 177506: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yq1v
title: CCDC 177507: Experimental Crystal Structure Determination

description: Related Article: D.S.Marlin, M.M.Olmstead, P.K.Mascharak|2001|Inorg.Chem.|40|7003|doi:10.1021/ic010523n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yq2w
title: CCDC 177508: Experimental Crystal Structure Determination

description: Related Article: R.T.Paine, Yun-Chou Tan, Xin-Min Gan|2001|Inorg.Chem.|40|7009|doi:10.1021/ic0107633
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5yq3x
title: CCDC 177509: Experimental Crystal Structure Determination

description: Related Article: R.T.Paine, Yun-Chou Tan, Xin-Min Gan|2001|Inorg.Chem.|40|7009|doi:10.1021/ic0107633
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.