cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16410605
title: MindScope-AI

description: # 🌿 MindScope: AI-Driven Digital Mindfulness for Chronic Care

**MindScope** is a video-based digital mindfulness framework designed to enhance engagement and attention in chronic disease management. It combines cognitive modeling, machine learning, and real-time nudging to deliver personalized, context-aware mindfulness support in primary care settings.

## 🧠 Motivation

Managing chronic conditions such as diabetes and hypertension often requires sustained behavioral change. However, traditional mindfulness interventions face challenges like poor engagement, limited personalization, and high dropout rates. **MindScope** addresses these gaps by:

- Detecting user attention in real-time from digital signals- Delivering tailored reflective prompts using counterfactual reasoning- Embedding mindfulness seamlessly into digital health workflows

## 💡 Core Components

### 1. Attentive Interaction State Encoder (AISE)

A deep learning encoder that models user attentional states using multimodal digital interaction signals:- Action, context, and physiological input- Temporal embedding + attention-weighted modeling- Robust latent state stabilization with volatility-aware noise injection

📍 *Diagram and architecture explained on page 6, Figure 1 of the paper*

### 2. Reflective Nudging via Temporal Counterfactuals (RNTC)

A reinforcement-learning-inspired mechanism to:- Predict when users are cognitively drifting- Simulate alternative intervention outcomes (counterfactuals)- Generate minimal but effective nudges using utility-based policies

📍 *Illustrated in Figure 3 on page 8*

## 📊 Experimental Results

MindScope outperforms state-of-the-art video understanding models (e.g., CLIP, TimeSformer, Uniformer) across four NER datasets in terms of:

| Dataset        | F1 Score | AUC     ||----------------|----------|---------|| CoNLL-2003     | 90.15%   | 93.06%  || OntoNotes 5.0  | 89.84%   | 93.28%  || WNUT-17        | 87.15%   | 90.28%  || GMB            | 88.12%   | 91.03%  |

📍 *See Tables 1–2 on pages 11–12*

## 🔍 Ablation Study

To validate component contributions:- Removing **AISE multimodal representation** causes a ~2.5% F1 drop- Excluding **contextual attention** reduces recall- Without **latent state stabilization**, robustness decreases in noisy settings

📍 *See Tables 3–4 on page 12*

## 🛠️ Installation

```bashgit clone https://github.com/yourname/mindscope-mindfulnesscd mindscope-mindfulnesspip install -r requirements.txt
DOI: 10.15468/dl.wpsgg9
title: Occurrence Download

description: A dataset listing the 1469 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is DEMNA-DNE : Occurrences of Diatoms (Bacillariophyceae) in running waters of Wallonia, Belgium"
 ]
}

 The dataset's 1469 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038671-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mnrcm
title: Occurrence Download

description: A dataset containing 5073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus campestris",
 "MediaType is Image"
 ]
}

 The dataset includes 5073 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038686-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4y9zcy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Campylomormyrus curvirostris)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "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 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038690-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m9dr8
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus aurantium",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038688-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyfawm
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus aurantium",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038689-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmk48t
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus aurantium",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038692-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqu527
title: Occurrence Download

description: A dataset containing 2196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctium lappa",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2196 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038691-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpcx8g
title: Occurrence Download

description: A dataset containing 79105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aruncus dioicus"
 ]
}

 The dataset includes 79105 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038583-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y58c3w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glebionis segetum",
 "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/0038693-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yduzm5
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Triturus dobrogicus"
 ]
}

 The dataset includes 242 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038697-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc4eht
title: Occurrence Download

description: A dataset containing 2922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anser erythropus",
 "MediaType is Image"
 ]
}

 The dataset includes 2922 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038694-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2matb2
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038699-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku936b
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monocorophium insidiosum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038695-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu9fwq
title: Occurrence Download

description: A dataset containing 2348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colophospermum mopane"
 ]
}

 The dataset includes 2348 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038700-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hmue7
title: Occurrence Download

description: A dataset listing the 4047303 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4047303 records were derived from 74749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038657-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/y0phb5
title: 2009-EGG-RO-0901-Galter.ogg

description: Enregistrement audio en version originale roumaine
DOI: 10.57745/cvh8im
title: Entretien avec Heinz Galter. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu en décembre 2009 à [?], Roumanie. Il a été mené par Mirel Banica. L'entretien a été réalisé en roumain. Il a duré 1 heure et 40 minutes.
DOI: 10.57745/k5h9om
title: Gallik.avi

description: Enregistrement vidéo,
Entretien en slovaque
DOI: 10.57745/l7ehy5
title: 2012-EGG-SK-0801-Gallik.ogg

description: Enregistrement audio en version originale slovaque
DOI: 10.82261/2dyw-tn27
title: Ancient Graffiti Project
title: AGP
DOI: 10.15468/dl.5f2jun
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barbodes binotatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "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 404 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038701-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/cryzlr
title: 2014-EGG-RU-1101-Gavrilova.ogg

description: Enregistrement audio en version originale russe
DOI: 10.15468/dl.frgarb
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus aurantium",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038702-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/dlx538
title: Entretien avec Svetlana Gavrilova. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 13 février 2014 à Zima (région d'Irkoutsk), Russie. Il a été mené par Emilia Koustova et Larissa Salakhova, avec la participation de Alain Blum qui s'occupait de l'enregistrement. L'entretien a été réalisé en russe. Il a duré 34 minutes.
DOI: 10.15468/dl.5eruk7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus aurantium",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038703-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xxe9z
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038705-250717081556266/datasets/export for details.
DOI: 10.15468/dl.cfesxp
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bovista paludosa"
 ]
}

 The dataset includes 880 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038706-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suag54
title: Occurrence Download

description: A dataset containing 5125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anser fabalis",
 "MediaType is Image"
 ]
}

 The dataset includes 5125 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038704-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/5m0uww
title: 2012-EGG-RU-0501-Gein.ogg

description: Enregistrement audio en version originale russe
DOI: 10.57745/haxibm
title: Entretien avec Leo Geïn. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 12 août 2012 à Otcheia (région d'Arkhangelsk), Russie, au domicile de l'interviewé. Il a été mené par Oleg Ugryumov et Hélène Mondon. L'entretien a été réalisé en russe. Il a duré 3 heures et 35 minutes.
DOI: 10.25345/c5r20s87h
title: MassIVE MSV000098630 - IGFBP-6 is a Regulator of Cell Cycle Progression by Promoting Exit Out of G1
title: These data are for phosphoproteomic analysis of T47D Breast Cancer Cells treated with siRNA targeting IGFBP-6.
DOI: 10.15468/dl.s76r3z
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glebionis segetum",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038708-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5zs5k
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glebionis segetum",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038709-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3yxnk
title: Occurrence Download

description: A dataset containing 11782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anser brachyrhynchus",
 "MediaType is Image"
 ]
}

 The dataset includes 11782 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038707-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ygqas
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038710-250717081556266/datasets/export for details.
DOI: 10.15468/dl.g4a9w2
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metacarcinus novaezelandiae",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038711-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15880542
title: Training data set and python code for a classifier to detect lion roaring in ACC data - Supplementary to the paper: Did U hear that? Working with mixed behaviours when classifying animal behaviour from acceleration data using a U-Net

description: This data set contains acceleration data from five lions in Etosha National Park from 2022 and 2023. These data were used to train a U-Net that recognises roaring behhaviour in the ACC data. The ACC data was recorded continously at 32Hz with -4g to 4g senitivity.

Part of this data set are also the behaviour labels with timestamps for the acceleration data as well as the python scripts to process the data as well as train and evaluate the model. The trained model is also included in a file.
DOI: 10.5281/zenodo.15880543
title: Training data set and python code for a classifier to detect lion roaring in ACC data - Supplementary to the paper: Did U hear that? Working with mixed behaviours when classifying animal behaviour from acceleration data using a U-Net

description: This data set contains acceleration data from five lions in Etosha National Park from 2022 and 2023. These data were used to train a U-Net that recognises roaring behhaviour in the ACC data. The ACC data was recorded continously at 32Hz with -4g to 4g senitivity.

Part of this data set are also the behaviour labels with timestamps for the acceleration data as well as the python scripts to process the data as well as train and evaluate the model. The trained model is also included in a file.
DOI: 10.15468/dl.snnh5r
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Triturus dobrogicus"
 ]
}

 The dataset includes 242 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038712-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7504
title: Wound-Healing Biodegradable Microparticles: An In Vitro Investigation

description: Wound healing is a complex process that may result in healthy tissue regeneration, but problematic chronic wounds exhibit fibrosis and persistent inflammation. To improve wound outcomes, the application of pro-proliferative polymers as bioresorbable particles was investigated for the first time. The surface of bioresorbable poly (D, L lactic acid) (PDLLA) microparticles are decorated with a pro- and anti-proliferative polymer that adheres to the surface for a minimum of 21 days. Microparticles with a pro-proliferative polymer surface chemistry were shown to increase fibroblast proliferation in vitro by 5-fold % after 48 hours compared to cells without microparticle treatment. The cells are found to move to establish bridges between the microparticles, which facilitate cell elongation and proliferation, accelerating a key stage of the wound healing cycle. Adsorbed proteins were examined using proteomics and unique proteins were found to adhere to microparticles with proliferative surface chemistry. These proteins include annexin, olfactomedin 4 and vimentin, and the roles of these proteins have been highlighted to gain a mechanistic insight into the stimulated proliferative environment causing by the microparticles. The lipid deposition/retention from exposure to culture media of microparticles is investigated by 3D OrbiSIMS and highlights preferential adsorption of lipid, including sterols, fatty acids and sphingolipids, correlates with pro and anti-healing polymers. This mechanistic insight helps advance this technology to address the pressing issue of chronic wound healing."
DOI: 10.15468/dl.p67buk
title: Occurrence Download

description: A dataset containing 67318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes aegypti"
 ]
}

 The dataset includes 67318 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038678-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7577
title: Data for "Modular supramolecular polycations enable efficient delivery of RNA therapeutics and vaccines"

description: Experimental data recorded for work submitted as "Modular supramolecular polycations enable efficient delivery of RNA therapeutics and vaccines"
DOI: 10.5281/zenodo.16410646
title: GeoMedNet

description: # CESEN-GPARS: Interpretable Deep Learning for Medical Image Classification

## 🧠 Overview

**CESEN-GPARS** is an interpretable deep learning framework for medical image classification. It is designed to extract non-linear features and preserve structural consistency across complex high-dimensional data. This framework introduces two key components:

- **CESEN**: Curvature-Enhanced Signal Encoding Network- **GPARS**: Geometric Profile-Aligned Regularization Strategy

Together, they provide curvature-aware representation and geometry-aligned optimization for robust and explainable classification in medical imaging.

## 🔍 Key Features

- 💡 **Curvature-guided Feature Extraction**: Enhances local geometry using directional curvatures and angular modulation.- 🧩 **Geometric Profile Alignment**: Encourages global structural consistency via optimization-based surface fitting.- 🧠 **Interpretability-Preserving**: Maintains semantic structure and enhances visualization potential for medical diagnosis.- 📈 **Superior Generalization**: Outperforms state-of-the-art on ImageNet, Caltech-256, Oxford Flowers, and DTD datasets.

## 🧱 Architecture

The framework consists of:- A backbone encoder with curvature-enhanced modules (CESEN)- A geometry-aware loss function (GPARS)- Classification head with semantic alignment

📌 *For details, refer to Figures and diagrams on pages 5–8 of the paper.*

## 📦 Project Structure