cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28332495
title: Understanding Farmer Preferences to Guide Crop Improvement: The Case of Grasspea in Ethiopia

description: Building climate resilience in agriculture may usefully rely on crop improvement informed by social science studies of farmer preferences. Here, we present the case of grasspea in Ethiopia, a resilient and nutritious legume that can survive conditions where many other crops fail. Excessive consumption however carries the risk of an irreversible, crippling disease, this is possible in the future since the weather extremes that climate change is predicted to bring will create the conditions in which grasspea is one of the food sources that will likely see increased consumption. Crucially, farmers are not fully aware of this risk and may therefore not adopt the low-toxin grasspea that crop scientists have developed and that is about to enter the breeding pipeline. In this study we use focus group discussions, key informant interviews and choice experiments to investigate farmer preferences for grasspea improvement. We confirm that farmers do not place much value on reduced toxicity. Instead, they have strong preferences for other improvements, such as resistance to pests. This suggests that improvements that are needed in future but not yet preferred (i.e. reduced toxicity) should be bundled with improvements that farmers already prefer.
DOI: 10.6084/m9.figshare.28332495.v1
title: Understanding Farmer Preferences to Guide Crop Improvement: The Case of Grasspea in Ethiopia

description: Building climate resilience in agriculture may usefully rely on crop improvement informed by social science studies of farmer preferences. Here, we present the case of grasspea in Ethiopia, a resilient and nutritious legume that can survive conditions where many other crops fail. Excessive consumption however carries the risk of an irreversible, crippling disease, this is possible in the future since the weather extremes that climate change is predicted to bring will create the conditions in which grasspea is one of the food sources that will likely see increased consumption. Crucially, farmers are not fully aware of this risk and may therefore not adopt the low-toxin grasspea that crop scientists have developed and that is about to enter the breeding pipeline. In this study we use focus group discussions, key informant interviews and choice experiments to investigate farmer preferences for grasspea improvement. We confirm that farmers do not place much value on reduced toxicity. Instead, they have strong preferences for other improvements, such as resistance to pests. This suggests that improvements that are needed in future but not yet preferred (i.e. reduced toxicity) should be bundled with improvements that farmers already prefer.
DOI: 10.15468/dl.dfdt5q
title: Occurrence Download

description: A dataset containing 266000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glycine max, Triticum aestivum, Oryza sativa, Hordeum vulgare, Vigna radiata, Ulmus pumila, Sorghum bicolor, Prunus persica, Cucumis melo, Castanea mollissima, Diospyros kaki, Phaseolus vulgaris, Vigna unguiculata, Zea mays, Prunus armeniaca, Sesamum indicum, Raphanus sativus, Vigna angularis, Setaria italica, Pisum sativum, Medicago sativa, Brassica rapa glabra, Citrullus lanatus, Pseudocydonia sinensis, Ziziphus jujuba, Juglans regia, Litchi chinensis, Cucurbita moschata, Avena sativa, Cucumis sativus, Cucurbita pepo, Helianthus annuus, Vigna unguiculata sesquipedalis, Panicum miliaceum, Vernicia montana, Prunus mume, Vicia faba, Cannabis sativa, Capsicum annuum, Citrus maxima, Elymus pseudocaninus, Solanum lycopersicum, Spinacia oleracea, Arachis hypogaea, Benincasa hispida, Lactuca sativa, Allium cepa, Solanum melongena, Agropyron cristatum, Lablab purpureus, Pyrus ussuriensis, Crataegus pinnatifida, Lagenaria siceraria, Daucus carota, Diospyros lotus, Pyrus calleryana, Vitis vinifera, Citrus sinensis, Colocasia esculenta, Brassica juncea, Citrus reticulata, Castanea henryi, Pinus bungeana, Beta vulgaris, Fagopyrum lineare, Gossypium arboreum, Agropyron sibiricum, Callistephus chinensis, Davidia involucrata, Rhododendron crinigerum, Astragalus melilotoides, Prunus tomentosa, Camellia sinensis, Juglans mandshurica, Meconopsis integrifolia, Prunus salicina, Viburnum betulifolium, Apium graveolens, Pistacia chinensis, Prunus davidiana, Calamagrostis epigejos, Gleditsia sinensis, Hibiscus cannabinus, Hordeum vulgare coeleste, Poa sphondylodes, Avena nuda, Malus sylvestris, Phyllostachys nidularia, Pinus armandii, Triticum turgidum, Triticum turgidum durum, Atalantia buxifolia, Berberis wilsoniae, Cucurbita maxima, Brassica oleracea, Fagopyrum esculentum, Vernicia fordii, Vigna unguiculata cylindrica, Actinidia chinensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is United States of America",
 "Year 2000-2024"
 ]
}

 The dataset includes 266000 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038349-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ahaqr
title: Occurrence Download

description: A dataset containing 5389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trigoniulus corallinus"
 ]
}

 The dataset includes 5389 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038367-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnvyev
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rauvolfia caffra"
 ]
}

 The dataset includes 1585 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038366-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efjreb
title: Occurrence Download

description: A dataset containing 1630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus monogyna",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1630 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038368-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d478y3
title: Occurrence Download

description: A dataset containing 3132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus monogyna",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3132 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038369-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16408197
title: Thesis Chapter 4 Supplementary Files
DOI: 10.5281/zenodo.14890464
title: Thesis Chapter 4 Supplementary Files
DOI: 10.15468/dl.ftkwcw
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038371-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16409091
title: AI-driven data lineage verification using temporal analysis with deep learning

description: In data-centric industries, such as finance, healthcare, and cybersecurity, maintaining the integrity and accuracy of data lineage is crucial due to compliance requirements. Current methods for verifying data lineage often struggle with the dynamic and multi-sourced nature of datasets, as well as their scale, which leads to subpar performance in detecting anomalies or validating lineage. This study introduces a new, AI-based framework designed to enhance the verification of data lineage through time-centred analysis.
DOI: 10.5281/zenodo.16409092
title: AI-driven data lineage verification using temporal analysis with deep learning

description: In data-centric industries, such as finance, healthcare, and cybersecurity, maintaining the integrity and accuracy of data lineage is crucial due to compliance requirements. Current methods for verifying data lineage often struggle with the dynamic and multi-sourced nature of datasets, as well as their scale, which leads to subpar performance in detecting anomalies or validating lineage. This study introduces a new, AI-based framework designed to enhance the verification of data lineage through time-centred analysis.
DOI: 10.15468/dl.k8r562
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galinsoga parviflora",
 "Country is Djibouti",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038372-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3c7cs
title: Occurrence Download

description: A dataset containing 1470 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reseda odorata"
 ]
}

 The dataset includes 1470 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038374-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf9b75
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alytes dickhilleni, Alytes muletensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)"
 ]
}

 The dataset includes 587 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038373-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw3qp6
title: Occurrence Download

description: A dataset containing 2301 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna asociada a las áreas de compensación por pérdida de biodiversidad del proyecto de Construcción de la segunda calzada del corredor vial Sincelejo-Toluviejo desde el PR1+500 al PR17+000, ubicado en el departamento de Sucre a cargo de La sociedad Autopistas de la Sabana S.A.S."
 ]
}

 The dataset includes 2301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038375-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mar64j
title: Occurrence Download

description: A dataset containing 38075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alauda arvensis",
 "MediaType is Image"
 ]
}

 The dataset includes 38075 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038376-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sjc3k
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038377-250717081556266/datasets/export for details.
DOI: 10.15468/dl.zy9c22
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reseda crystallina"
 ]
}

 The dataset includes 377 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038380-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bc5dd2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galinsoga parviflora",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038378-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71724/mbz6-av69
title: BIM comparison models used to compare geometry in accordance with EGiB and near-actual state

description: <p><span style="font-size:12.04px">The research data includes BIM models in native .rvt format used to compare the status according to EGiB and the actual status.</span></p>
DOI: 10.15468/dl.a5w4ja
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038379-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15807117
title: [SI] A Redefined Protocol for Protein Corona Analysis on Graphene Oxide

description: This repository contains the raw mass spectrometry data and MaxQuant output tables for the article entitled: A Redefined Protocol for Protein Corona Analysis on Graphene Oxide  by Saorin A et al
DOI: 10.5281/zenodo.15807118
title: [SI] A Redefined Protocol for Protein Corona Analysis on Graphene Oxide

description: This repository contains the raw mass spectrometry data and MaxQuant output tables for the article entitled: A Redefined Protocol for Protein Corona Analysis on Graphene Oxide  by Saorin A et al
DOI: 10.15468/dl.7qhyhb
title: Occurrence Download

description: A dataset containing 2399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegolius funereus",
 "MediaType is Image"
 ]
}

 The dataset includes 2399 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038381-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9dfsk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta pentagona",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038382-250717081556266/datasets/export for details.
DOI: 10.15468/dl.jcjxgt
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038383-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s489n
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reseda inodora"
 ]
}

 The dataset includes 240 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038387-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6am94
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 244 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038384-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc88y7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla indica",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038385-250717081556266/datasets/export for details.
DOI: 10.15468/dl.3cmynk
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alauda leucoptera",
 "MediaType is Image"
 ]
}

 The dataset includes 88 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038388-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2frhw
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "DatasetKey is one of (Fauna Atlas N.T., iNaturalist Research-grade Observations, ALA species sightings and OzAtlas)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, July, August, September, October)",
 "OccurrenceStatus is Present",
 "TaxonKey is Bubalus bubalis",
 "Year 2014-2014"
 ]
}

 The dataset includes 548 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038389-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-z2s-42hc
title: Trauma & Resilience: 20InterviewF1G1
title: Trauma & Resilience: Intergenerational Holocaust research from an existential perspective

description: &lt;p&gt;Respondent F1G1 heeft tijdens de oorlog een concentratiekamp overleefd. Hij vindt het belangrijk dat de Holocaust nooit wordt vergeten. Zijn familie en gezondheid zijn het belangrijkste voor hem, daarnaast zijn sociale bezigheden. Hij leeft met de dag en vindt dat het menselijke leven geen waarde in zichzelf heeft.&lt;/p&gt;
DOI: 10.5281/zenodo.16401473
title: European experts' perspectives on Sustainability Challenges & Innovations in Logistics

description: This dataset was undertaken within the framework of the EU-funded ADMIRAL project aiming to develop and pilot AI-driven solutions for managing logistics supply chains, including related missions to reduce transport and logistics emissions and increase transparency, resilience of logistics supply chains, and stakeholder cooperation.

The questionnaire contents European experts’ opinions on key sustainability challenges and goals in the logistic sector covering economic, environmental, social and governance dimensions and on different innovative solutions and regulations that could be applied to advance to green, digital and sustainable logistics.
DOI: 10.5281/zenodo.16401474
title: European experts' perspectives on Sustainability Challenges & Innovations in Logistics

description: This dataset was undertaken within the framework of the EU-funded ADMIRAL project aiming to develop and pilot AI-driven solutions for managing logistics supply chains, including related missions to reduce transport and logistics emissions and increase transparency, resilience of logistics supply chains, and stakeholder cooperation.

The questionnaire contents European experts’ opinions on key sustainability challenges and goals in the logistic sector covering economic, environmental, social and governance dimensions and on different innovative solutions and regulations that could be applied to advance to green, digital and sustainable logistics.
DOI: 10.5281/zenodo.16409333
title: BullyShield

description: # BullyNet: Deep Learning Framework for Detecting Image-Based Cyberbullying

**BullyNet** is a novel deep learning architecture for detecting image-based cyberbullying and technology-facilitated abuse. It is designed to capture the nuanced, multimodal, and adversarial nature of online harassment, and improve robustness and interpretability for real-world deployment.

---

## 📌 Overview

Cyberbullying involving images has severe psychological consequences and is difficult to detect due to subtle cues, semantic ambiguity, and contextual dependencies. Traditional methods fall short in tackling this challenge. This repository implements:

- **BullyNet**: A hierarchical, dual-context, multimodal neural model that combines lexical, discourse, and graph-based representations.- **Countershame Learning**: A training paradigm that enforces robustness under adversarial paraphrasing and semantic shifts.

🔍 *Application Areas*:- Online safety monitoring- Content moderation for social media- Mental health support tools- Digital ethics research

---

## 🧠 Key Features

- ✅ **Contextual Understanding**: Learns abuse patterns from conversation threads, visual cues, and user interaction data.- 🔐 **Adversarial Robustness**: Incorporates adversarial perturbations and semantic alignment techniques.- 🗣 **Interpretability**: Supports attention visualization and latent abstraction modules.- 🔄 **Multi-Stage Architecture**: Includes policy feedback loop and real-time alerting.

---

## 📁 Project Structure

```bash.├── data/                  # Preprocessed datasets and loaders├── models/                # BullyNet & Countershame modules├── configs/               # Model and training configuration files├── scripts/               # Training, testing, adversarial evaluation├── utils/                 # Helper functions, metrics, logging├── results/               # Output logs, plots, performance reports├── checkpoints/           # Saved models└── README.md              # This file