cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/p1a-f3s-qp0
title: Cirsotrema zelebori (Dunker, 1866)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yta-w6n-yt3
title: Nucella lapillus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/frf-0rz-pp0
title: Aporrhais pespelecani (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gvw-x3y-bbc
title: Coralliophila fritschi (E. von Martens, 1874)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/twa-641-cgg
title: Alvania discors (T. Brown, 1818)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v0v-btb-41t
title: Thiara Röding, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w0z-dtw-79d
title: Euthria cornea (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0p9-wg4-fgv
title: Cyphoma intermedium (G. B. Sowerby I, 1828)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wkz-73l-q22
title: Melanoides Olivier, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.p8qpun
title: Occurrence Download

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

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044475-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7puyuj
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry MULTIPOLYGON(((-14.43658 26.09134,58.52499 26.09134,58.52499 47.33988,-14.43658 47.33988,-14.43658 26.09134)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cupressus atlantica, Cupressus sempervirens)"
 ]
}

 The dataset includes 425 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044476-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15083477
title: Predicting Crash Causes from Stack Traces: Can We Identify Key Android Settings? (Artifact)

description: These files are the artifact for the manuscript entitled `Predicting Crash Causes from Stack Traces: Can We IdentifyKey Android Settings?`. For more information, please read the README.md  which explains the whole project located in Shark.zip.
DOI: 10.5281/zenodo.15083478
title: Predicting Crash Causes from Stack Traces: Can We Identify Key Android Settings? (Artifact)

description: These files are the artifact for the manuscript entitled `Predicting Crash Causes from Stack Traces: Can We IdentifyKey Android Settings?`.
DOI: 10.15468/dl.9sgd7b
title: Occurrence Download

description: A dataset containing 244850 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 (Plegadis falcinellus)",
 "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 244850 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044428-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jscwb8
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrobates pelagicus",
 "MediaType is Image"
 ]
}

 The dataset includes 935 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044477-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt5hkx
title: Occurrence Download

description: A dataset containing 15550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deania calcea"
 ]
}

 The dataset includes 15550 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044478-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxrz5t
title: Occurrence Download

description: A dataset containing 20516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium ciliatum",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20516 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044479-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qq2mx
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium ciliatum",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044480-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6nu9m
title: Occurrence Download

description: A dataset containing 19762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ichthyaetus melanocephalus",
 "MediaType is Image"
 ]
}

 The dataset includes 19762 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044482-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbd8ww
title: Occurrence Download

description: A dataset containing 7539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia phaeacantha",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7539 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044481-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxhxwj
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypsugo savii",
 "MediaType is Image"
 ]
}

 The dataset includes 348 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044483-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsy5xb
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola tibetica"
 ]
}

 The dataset includes 446 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044484-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc3vde
title: Occurrence Download

description: A dataset containing 2561 records in GBIF matching the query:
SELECT
 scientificname,
 catalognumber,
 othercatalognumbers,
 institutioncode,
 decimallatitude,
 decimallongitude,
 "day",
 "month",
 "year",
 associatedtaxa
FROM
 occurrence
WHERE
 (occurrence.taxonkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.acceptedtaxonkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.kingdomkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.phylumkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.classkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.orderkey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.familykey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.genuskey IN ('1356896', '1357081', '1357862', '1357924', '1357897') OR occurrence.specieskey IN ('1356896', '1357081', '1357862', '1357924', '1357897'))
 AND occurrence.associatedtaxa IS NOT NULL
 AND occurrence.associatedtaxa &lt;&gt; ''

 The dataset's 2561 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044470-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn7h84
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola wallichiana"
 ]
}

 The dataset includes 551 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044486-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfn67c
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola tieghemii"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044485-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jkeh5
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium ciliatum",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044488-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5pu9r
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chaetostoma brevilabiatum)",
 "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 773 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044487-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nxqve
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044489-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16418857
title: AquaSentinel

description: # AI-Driven River Pollution Monitoring System

![system-architecture](docs/figures/system-architecture.png)

## 🌊 Overview

This project proposes an **AI-powered river pollution monitoring system** that combines **remote sensing**, **adaptive IoT sensor networks**, and **deep learning-based image classification** to detect and manage river pollution in real-time. Traditional methods rely on fixed sensors and manual testing—this system improves on that by delivering scalable, intelligent, and adaptive pollution management.

---

## 🧠 Key Features

- **Hybrid Deep Learning Framework**:  - Uses CNNs for low-level feature extraction.  - Combines with Vision Transformers (ViT) for semantic-level classification.

- **Adaptive Spatiotemporal Pollution Estimation**:  - Integrates sensor feedback, probabilistic modeling, and Gaussian Process Regression.  - Dynamically adjusts sensor positions to minimize monitoring uncertainty.

- **Reinforcement Learning Optimization**:  - Sensor deployment and data acquisition schedules are optimized using a reward-driven policy.  - Balances between accuracy, computational cost, and measurement frequency.

- **Real-time Data Assimilation**:  - Incorporates a Kalman Filter-based mechanism for continuous pollution concentration updates.

- **Edge & Federated Learning Support**:  - Enables distributed real-time analytics while preserving data privacy.

---

## 🧪 Datasets

This project leverages several remote sensing and environmental monitoring datasets:

- **Sentinel-2 MSI** (ESA): High-res multispectral imagery.- **Global Mangrove Watch**: Mangrove distribution and coastal pollution tracking.- **MDID**: Hyperspectral & multispectral datasets for segmentation tasks.- **ESA-OC-CCI**: Ocean color data for turbidity and chlorophyll analysis.

---

## 🏗️ Architecture Highlights

- **Dual-Branch Network**: Combines CNN and ViT for robust image segmentation.- **Dynamic Sensor Placement**: Informed by pollution gradients and uncertainty variance.- **Reinforcement-Guided Monitoring**: Employs multi-agent RL for coordinated sensor movement.- **Bayesian Data Fusion**: Enhances predictions using probabilistic modeling.

See the schematic diagrams on **page 8**, **11**, and **12** of the paper for architectural illustrations.

---

## 📊 Results & Evaluation

The model was benchmarked against state-of-the-art methods like **UNet**, **HRNet**, **DeepLabV3+**, **SegFormer**, and more. Across datasets, our system achieved:

- **+2.5–3.0% IoU and Dice Score improvement**- **Superior spatial and spectral attention**- **Lower false positives/negatives in segmentation tasks**

Full performance tables and ablation studies are available in the paper (see *Tables 1–4* and *Figures 5–8*).

---

## 🛠️ Installation

```bashgit clone https://github.com/your-username/river-pollution-monitor.gitcd river-pollution-monitorpip install -r requirements.txt
DOI: 10.5281/zenodo.16418856
title: AquaSentinel

description: # AI-Driven River Pollution Monitoring System

![system-architecture](docs/figures/system-architecture.png)

## 🌊 Overview

This project proposes an **AI-powered river pollution monitoring system** that combines **remote sensing**, **adaptive IoT sensor networks**, and **deep learning-based image classification** to detect and manage river pollution in real-time. Traditional methods rely on fixed sensors and manual testing—this system improves on that by delivering scalable, intelligent, and adaptive pollution management.

---

## 🧠 Key Features

- **Hybrid Deep Learning Framework**:  - Uses CNNs for low-level feature extraction.  - Combines with Vision Transformers (ViT) for semantic-level classification.

- **Adaptive Spatiotemporal Pollution Estimation**:  - Integrates sensor feedback, probabilistic modeling, and Gaussian Process Regression.  - Dynamically adjusts sensor positions to minimize monitoring uncertainty.

- **Reinforcement Learning Optimization**:  - Sensor deployment and data acquisition schedules are optimized using a reward-driven policy.  - Balances between accuracy, computational cost, and measurement frequency.

- **Real-time Data Assimilation**:  - Incorporates a Kalman Filter-based mechanism for continuous pollution concentration updates.

- **Edge & Federated Learning Support**:  - Enables distributed real-time analytics while preserving data privacy.

---

## 🧪 Datasets

This project leverages several remote sensing and environmental monitoring datasets:

- **Sentinel-2 MSI** (ESA): High-res multispectral imagery.- **Global Mangrove Watch**: Mangrove distribution and coastal pollution tracking.- **MDID**: Hyperspectral & multispectral datasets for segmentation tasks.- **ESA-OC-CCI**: Ocean color data for turbidity and chlorophyll analysis.

---

## 🏗️ Architecture Highlights

- **Dual-Branch Network**: Combines CNN and ViT for robust image segmentation.- **Dynamic Sensor Placement**: Informed by pollution gradients and uncertainty variance.- **Reinforcement-Guided Monitoring**: Employs multi-agent RL for coordinated sensor movement.- **Bayesian Data Fusion**: Enhances predictions using probabilistic modeling.

See the schematic diagrams on **page 8**, **11**, and **12** of the paper for architectural illustrations.

---

## 📊 Results & Evaluation

The model was benchmarked against state-of-the-art methods like **UNet**, **HRNet**, **DeepLabV3+**, **SegFormer**, and more. Across datasets, our system achieved:

- **+2.5–3.0% IoU and Dice Score improvement**- **Superior spatial and spectral attention**- **Lower false positives/negatives in segmentation tasks**

Full performance tables and ablation studies are available in the paper (see *Tables 1–4* and *Figures 5–8*).

---

## 🛠️ Installation

```bashgit clone https://github.com/your-username/river-pollution-monitor.gitcd river-pollution-monitorpip install -r requirements.txt
DOI: 10.5517/ccdc.csd.cc2g22zm
title: CCDC 2266130: Experimental Crystal Structure Determination

description: Related Article: Katherine J. Fisher, H. Ray Kelly, Claire C. Cody, Cristina Decavoli, Brandon Q. Mercado, Jennifer L. Troiano, Robert H. Crabtree, Victor S. Batista, Gary W. Brudvig|2025|Inorg.Chem.|64|14552|doi:10.1021/acs.inorgchem.5c02005
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/ccdc.csd.cc2ktlnn
title: CCDC 2378092: Experimental Crystal Structure Determination

description: Related Article: Wang Wang, Bodi Zhao, Xiaotian Qi, M. Kevin Brown|2025|Chem (Cell Press)|11|102488|doi:10.1016/j.chempr.2025.102488
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/ccdc.csd.cc2ktlpp
title: CCDC 2378093: Experimental Crystal Structure Determination

description: Related Article: Wang Wang, Bodi Zhao, Xiaotian Qi, M. Kevin Brown|2025|Chem (Cell Press)|11|102488|doi:10.1016/j.chempr.2025.102488
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: 10.15468/dl.nemrus
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanomyces astaci",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044490-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ktlqq
title: CCDC 2378094: Experimental Crystal Structure Determination

description: Related Article: Wang Wang, Bodi Zhao, Xiaotian Qi, M. Kevin Brown|2025|Chem (Cell Press)|11|102488|doi:10.1016/j.chempr.2025.102488
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/ccdc.csd.cc2kwcys
title: CCDC 2379806: Experimental Crystal Structure Determination

description: Related Article: Tingfeng Fu, Xing Ji, Sihui Lv, Run He, Lou Shi, Wei-Min Shi, Deqiang Liang|2025|Org.Lett.|27|7494|doi:10.1021/acs.orglett.5c01360
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/ccdc.csd.cc2lmnsp
title: CCDC 2402183: Experimental Crystal Structure Determination

description: Related Article: Lennart Schmitz, Miguel A. Argüello Cordero, Mohammed J. Al-Marri, Roland Schoch, Hans Egold, Adam Neuba, Jakob Steube, Bastian Bracht, Olga S. Bokareva, Stefan Lochbrunner, Matthias Bauer|2025|Inorg.Chem.|64|14101|doi:10.1021/acs.inorgchem.5c00526
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/ccdc.csd.cc2lmntq
title: CCDC 2402184: Experimental Crystal Structure Determination

description: Related Article: Lennart Schmitz, Miguel A. Argüello Cordero, Mohammed J. Al-Marri, Roland Schoch, Hans Egold, Adam Neuba, Jakob Steube, Bastian Bracht, Olga S. Bokareva, Stefan Lochbrunner, Matthias Bauer|2025|Inorg.Chem.|64|14101|doi:10.1021/acs.inorgchem.5c00526
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.