cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9hfzb63k2w.1
title: Candidate SDM model pool for priority woody invasive plant species (Ailanthus altissima, Acer negundo) in the Danubian riparian corridor

description: Candidate models were generated to support multi-objective, post-hoc selection of SDMs for woody invasive alien plant species (IAS) in the Danubian riparian corridor. Occurrence data were compiled from opportunistic citizen-science observations and harmonised under a target-group background design, then aggregated to a common 1-km grid that served as the modelling unit across the Danube calibration domain and two independent external evaluation domains (Romania and Serbia). Environmental predictors were screened as described in the associated manuscript.

Model calibration used penalised logistic Generalised Additive Models (GAMs) implemented in Python (pyGAM, LogisticGAM). Candidate configurations were sampled via a Latin hypercube sampling (LHS) design over (i) the smoothness/regularisation parameter λ (sampled log-uniformly across orders of magnitude) and (ii) model complexity (integer number of environmental predictors). For each LHS draw, a predictor subset was randomly sampled from the screened predictor pool under these constraints, and a model was fitted on the Danube calibration domain.

Each candidate model was evaluated using (1) spatially blocked cross-validation on the Danube domain (AUC) and (2) external transfer evaluation (AUC) on Romania and Serbia. These metrics support post-hoc selection following a standard MCDA logic: users can change objective weights (e.g., prioritise external transferability vs internal validation, or penalise complexity) and select the candidate that best matches their criteria. The rationale and definition of selection criteria are provided in the manuscript.

Model artefacts are included to enable re-use. The performance table links each candidate to a stored model via the model_tag / model_name identifier. All fitted candidate models are provided in models_MULTI_LHC.zip (1000 models per species), allowing users to reproduce alternative selections and generate maps for their chosen candidate(s). Model-ready predictors for inference are provided in eco_1000m_z.zip as transformed (where applicable) and z-standardised GeoTIFF rasters aligned to a 1-km ETRS89-LAEA (EPSG:3035) grid. AOI.zip contains the AOI polygon (shapefile) used for optional masking. The scaling-parameter CSV included in eco_1000m_z.zip documents how the provided standardised rasters were produced and is not required if users run inference directly with the provided z-standardised rasters.

Associated manuscript
This dataset accompanies the manuscript by Halabuk et al., “From citizen science records to invasive plant indicators: multi-domain evaluation and scenario-based model selection for the Danube corridor”.

Acknowledgement: “Funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I01-03-V04-00005.”
DOI: 10.17632/g8yhdvgjy2.1
title: A new multi-modal dataset for Dental Plaque Diagnosis of Patients With Fixed Labial Orthodontic Appliances (Part 1 of 2)

description: This dataset represents Part 1 of a two-part release of a multi-modal intraoral image dataset for dental plaque diagnosis in patients with fixed labial orthodontic appliances. The complete dataset is split into two parts due to repository size constraints. Part 2 (DOI: 10.17632/xjs4bfgzj5.1) contains the remaining patient data collected under the same clinical protocol, annotation scheme, and quality control procedures, and should be used jointly with this dataset for comprehensive benchmarking and analysis.

Objective: This dataset is designed to benchmark and improve plaque diagnosis performance in patients wearing labial fixed orthodontic appliances. It addresses the lack of high-quality, large-scale intraoral image datasets collected from orthodontic patients, where brackets and wires increase diagnostic difficulty.

Data content: The dataset includes two data types collected from 146 patients undergoing fixed orthodontic treatment.

Intraoral images:
* More than 10,000 pre-staining intraoral images of anterior teeth.
* Images are annotated into four plaque severity levels with labels 0–1, 2, 3, and 4, representing increasing plaque accumulation.
* Post-staining images were used as a reference for accurate labeling but are not included in the released dataset.
Clinical records:
* Each patient is associated with one clinical examination form.
* Records include gingival bleeding assessment and oral hygiene habits, documented at both patient and tooth levels.

Methodology:
- Data collection: Images were captured using a professional dental camera following a standardized clinical protocol. For each patient, nine images were taken from nine predefined angles to comprehensively cover the anterior dentition.
- Data labeling: All pre-staining images were classified into four plaque severity labels (0–1, 2, 3, 4).
- Peer review: All annotations were independently reviewed by two dentists with over five years of clinical experience.
- Noise creation: For each original image, three noise-augmented versions were generated using image shake, brightness increase, and brightness decrease.
- Data augmentation: Six augmentation techniques were applied, resulting in 72 images per patient to enhance data diversity and robustness.

Usage: The dataset is split into training and testing sets and is intended for training, fine-tuning, and evaluating deep learning models for plaque level diagnosis in patients wearing orthodontic braces.
DOI: 10.17632/7pdcjmc6x3
title: Data Herpe et al., 2026 PNAS

description: Data for the paper published in PNAS (2026): When alternative becomes essential: the role of the Mitochondrial Glycerol-3-Phosphate Dehydrogenase
DOI: 10.17632/7pdcjmc6x3.1
title: Data Herpe et al., 2026 PNAS

description: Data for the paper published in PNAS (2026): When alternative becomes essential: the role of the Mitochondrial Glycerol-3-Phosphate Dehydrogenase
DOI: 10.17632/8fxsp5cy3d
title: Climate neutral dairy in California? A study based on life cycle assessment and radiative forcing - Supplementary information

description: Supplementary information to the study: "Climate neutral dairy in California? A study based on life cycle assessment and radiative forcing". 
Corresponding author: Dr. Joan Hereu-Morales (joan.hereu@upc.edu),
DOI: 10.17632/8fxsp5cy3d.1
title: Climate neutral dairy in California? A study based on life cycle assessment and radiative forcing - Supplementary information

description: Supplementary information to the study: "Climate neutral dairy in California? A study based on life cycle assessment and radiative forcing". 
Corresponding author: Dr. Joan Hereu-Morales (joan.hereu@upc.edu),
DOI: 10.17632/27yxxdvttb
title: SEMI-SYSTEMATIC LITERATURE REVIEW: DIGITAL TRANSFORMATION SMEs - Industry 4.0

description: This dataset presents the results of a semi-systematic literature review addressing the digital transformation of industrial SMEs to develop an Industry 4.0 environment. A total of 117 articles were analyzed. The authors identified the main technological capacities presented in the documents. From the review, they also traced the promoting and inhibiting factors regarding the digitalization of this group of enterprises.
DOI: 10.17632/27yxxdvttb.2
title: SEMI-SYSTEMATIC LITERATURE REVIEW: DIGITAL TRANSFORMATION SMEs - Industry 4.0

description: This dataset presents the results of a semi-systematic literature review addressing the digital transformation of industrial SMEs to develop an Industry 4.0 environment. A total of 117 articles were analyzed. The authors identified the main technological capacities presented in the documents. From the review, they also traced the promoting and inhibiting factors regarding the digitalization of this group of enterprises.
DOI: 10.17632/4js9mc9mh2
title: Bayesian prediction of flexural capacity for corroded precast slabs strengthened with UHPC overlays

description: Data, Code, and Methods for "Bayesian prediction of flexural capacity for corroded precast slabs strengthened with UHPC overlays".
DOI: 10.17632/4js9mc9mh2.1
title: Bayesian prediction of flexural capacity for corroded precast slabs strengthened with UHPC overlays

description: Data, Code, and Methods for "Bayesian prediction of flexural capacity for corroded precast slabs strengthened with UHPC overlays".
DOI: 10.17632/j2jjps4yms
title: TENS and Pilates for Chronic Low Back Pain Treatment
DOI: 10.17632/j2jjps4yms.1
title: TENS and Pilates for Chronic Low Back Pain Treatment
DOI: 10.15468/dl.uks7ty
title: Occurrence Download

description: A dataset containing 3420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Geometry POLYGON((-99.36 19.04,-98.94 19.04,-98.94 19.59,-99.36 19.59,-99.36 19.04))",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bassariscus astutus",
 "Year 2000-2026"
 ]
}

 The dataset includes 3420 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012502-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3vrptwp5m7
title: Rethinking Fiscal Rules in Resource-Rich Economies

description: REPLICATION PACKAGE 
Rethinking Fiscal Rules in Resource-Rich Economies
Rodrigo Heresi and Salomon Garcia-Villegas (JDE, 2026).
DOI: 10.17632/3vrptwp5m7.1
title: Rethinking Fiscal Rules in Resource-Rich Economies

description: REPLICATION PACKAGE 
Rethinking Fiscal Rules in Resource-Rich Economies
Rodrigo Heresi and Salomon Garcia-Villegas (JDE, 2026).
DOI: 10.17632/7jxm8dyfh8
title: FFA and LDOM Supplementary Figure

description: Supplemental Figure 1: FFA patient with occipital hairline regrowth with low-dose oral minoxidil (LDOM) 1.25 mg daily. FFASI 3-point decrease from baseline (A) to follow-up 6.6 months (B). Prior therapeutic regimen included hydroxychloroquine 200 mg PO bid, intralesional triamcinolone 2.5 mg/mL, platelet rich plasma (2 sessions), and topical minoxidil 5%, and was maintained throughout study interval.
DOI: 10.17632/7jxm8dyfh8.1
title: FFA and LDOM Supplementary Figure

description: Supplemental Figure 1: FFA patient with occipital hairline regrowth with low-dose oral minoxidil (LDOM) 1.25 mg daily. FFASI 3-point decrease from baseline (A) to follow-up 6.6 months (B). Prior therapeutic regimen included hydroxychloroquine 200 mg PO bid, intralesional triamcinolone 2.5 mg/mL, platelet rich plasma (2 sessions), and topical minoxidil 5%, and was maintained throughout study interval.
DOI: 10.17632/t6zxmpwmmd.1
title: Impact of Intraoperative Binaural Beats on Remimazolam Usage During Anesthesia Maintenance: A Randomized Controlled Trial

description: Purpose: Binaural beats (BB) may influence anesthetic requirements anxiety and anesthetic requirements through brainwave entrainment. This study investigated the effect of intraoperative BB on remimazolam usage during anesthesia maintenance in patients undergoing general anesthesia. 
Methods: In a randomized, prospective, single-center study, 72 patients were allocated to two groups: the BB group (B group, n=36) or control group (C group, n=36). The B group listened to BB (4-Hz frequency difference) intraoperatively, while the control group did not. The primary outcome was total remimazolam dosage during anesthesia. Secondary outcomes included remimazolam dosage per hour per kg, hemodynamic stability, postoperative pain scores, and EEG spectral analysis. Postoperative pain scores were assessed using the numerical rating scale (NRS), and time-normalized AUC values (AUC per hour) over the first 24 postoperative hours were calculated.
Results: The B group required significantly less remimazolam (239.4 ± 75.3 vs. 274.1 ± 116.5mg, P=0.042) and had a lower remimazolam dosage (1.01 ± 0.17 vs. 1.11 ± 0.22 mg/kg/h, P=0.031). The B group required significantly less remifentanil (2026 ± 992 vs. 2855 ± 1612 µg, P=0.019) and had a lower remifentanil dosage (8.52 ± 3.39 vs. 11.48 ± 3.68 mg/kg/h, P&lt;0.001). The incidence of hypotension was lower in the B group (11% vs. 33%, P=0.047). No significant differences were observed in most EEG spectral bands. Time-normalized postoperative pain burden, expressed as NRS AUC per hour, was significantly lower in the BB group both at rest (2.64 ± 0.98 vs. 3.43 ± 1.02, P = 0.001) and during coughing (2.77 ± 1.02 vs. 3.67 ± 1.17, P &lt; 0.001).
Conclusion: Intraoperative BB were associated with reduced remimazolam requirements and improved hemodynamic stability. While EEG changes were limited, the findings suggest a potential adjunctive role of BB in anesthesia maintenance.
DOI: 10.17632/ghj5z8hnns
title: Supplementary document for "Supporting climate change mitigation and food security with global abandoned cropland" Written by Zheng et al. 2026. in Agricultural Applications of Earth Observation Edited by Peng Fu

description: Please note that this supplementary document is provided by Dr. Qiming Zheng at The Chinese University of Hong Kong, Kowloon, Hong Kong. Any questions/correspondence should be addressed to Dr. Qiming Zheng (qmzheng@cuhk.edu.hk). The book editor, Dr. Peng Fu, helped upload this supplementary document associated with the chapter "Supporting climate change mitigation and food security with global abandoned cropland" in Agricultural Applications of Earth Observation Edited by Peng Fu and published by Elsevier.
DOI: 10.17632/ghj5z8hnns.1
title: Supplementary document for "Supporting climate change mitigation and food security with global abandoned cropland" Written by Zheng et al. 2026. in Agricultural Applications of Earth Observation Edited by Peng Fu

description: Please note that this supplementary document is provided by Dr. Qiming Zheng at The Chinese University of Hong Kong, Kowloon, Hong Kong. Any questions/correspondence should be addressed to Dr. Qiming Zheng (qmzheng@cuhk.edu.hk). The book editor, Dr. Peng Fu, helped upload this supplementary document associated with the chapter "Supporting climate change mitigation and food security with global abandoned cropland" in Agricultural Applications of Earth Observation Edited by Peng Fu and published by Elsevier.
DOI: 10.17632/8pcf3vkmsv
title: Crypto Assets Price History from 2021 to 2024

description: Close prices of 209 cryptoassets.
Source: Binance API.
Data available from August 2021 to January 2024.
DOI: 10.17632/8pcf3vkmsv.1
title: Crypto Assets Price History from 2021 to 2024

description: Close prices of 209 cryptoassets.
Source: Binance API.
Data available from August 2021 to January 2024.
DOI: 10.17632/f859xhrp8k
title: Cutaneous toxicities associated with amivantamab in patients with non-small cell lung cancer: A systematic review

description: Supplementary material (table S1, Table S2 and Figure S1).
DOI: 10.17632/f859xhrp8k.1
title: Cutaneous toxicities associated with amivantamab in patients with non-small cell lung cancer: A systematic review

description: Supplementary material (table S1, Table S2 and Figure S1).
DOI: 10.17632/8bpz4cb77v
title: Tendencias temporales en la utilización de los servicios sanitarios por infecciones respiratorias en la población pediátrica del Anoia (2017- 2024): atención primaria y hospitalaria

description: This dataset derives from an observational, longitudinal, and retrospective study based on healthcare consultations of children under 15 years of age who were attended for respiratory infections in primary care or hospital settings in the Anoia region (Catalonia, Spain) between 2017 and 2024. The data include routinely collected clinical information from both primary and secondary care.
DOI: 10.5281/zenodo.18487930
title: Maria Panlilio (LiDAR) May 27 2025

description: This orthomosaic of Yona, Guam was created from 72 images taken on May 27 2025, at 200ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.17632/8bpz4cb77v.1
title: Tendencias temporales en la utilización de los servicios sanitarios por infecciones respiratorias en la población pediátrica del Anoia (2017- 2024): atención primaria y hospitalaria

description: This dataset derives from an observational, longitudinal, and retrospective study based on healthcare consultations of children under 15 years of age who were attended for respiratory infections in primary care or hospital settings in the Anoia region (Catalonia, Spain) between 2017 and 2024. The data include routinely collected clinical information from both primary and secondary care.
DOI: 10.6084/m9.figshare.31257625
title: Human Experience Baseline (Dataset, n= 1,514)

description: This dataset constitutes the Human Experience Baseline, a longitudinal reference dataset published by the Human Clarity Institute to capture core dimensions of human experience in digitally mediated environments.It is designed to provide a stable measurement foundation for tracking change over time in how people experience agency, attention, cognitive load, wellbeing, values clarity, meaning, trust, and reliance on digital and AI-enabled systems.The dataset includes:<br>• validated numeric Likert-scale measures (1–7, 0–5, and 0–4 scales)<br>• indicators of personal agency, decision clarity, and perceived control<br>• measures of attention, distraction, and cognitive load in daily digital life<br>• wellbeing and psychological state items suitable for longitudinal comparison<br>• values clarity, purpose, and meaning-related measures<br>• trust in information environments and reliance on automated or intelligent systems<br>• digital exposure variables (hours online, AI tool usage frequency)<br>• demographic variables across six English-speaking countriesData were collected via Prolific from adults (18+) in the United Kingdom, United States, Australia, Canada, New Zealand, and Ireland. Participants provided explicit consent for anonymised open publication.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, including:<br>• canonical snake_case variable naming<br>• validated numeric value ranges<br>• standardised categorical encodings<br>• removal of duplicate submissions<br>• removal of all identifiers and timestamps<br>• full alignment with the accompanying data dictionary<br>• cryptographic checksums for file integrityThis dataset is intended to be updated through repeated data collection waves using a consistent core of measures. Each update is released as a new dataset version while retaining a stable canonical identity, enabling longitudinal analysis and comparison across time.The Human Experience Baseline underpins a broader library of topical datasets published by the Human Clarity Institute, allowing specific human–AI interaction phenomena to be interpreted relative to an established reference baseline rather than as isolated snapshots.
DOI: 10.6084/m9.figshare.31257625.v1
title: Human Experience Baseline (Dataset, n= 1,514)

description: This dataset constitutes the Human Experience Baseline, a longitudinal reference dataset published by the Human Clarity Institute to capture core dimensions of human experience in digitally mediated environments.It is designed to provide a stable measurement foundation for tracking change over time in how people experience agency, attention, cognitive load, wellbeing, values clarity, meaning, trust, and reliance on digital and AI-enabled systems.The dataset includes:<br>• validated numeric Likert-scale measures (1–7, 0–5, and 0–4 scales)<br>• indicators of personal agency, decision clarity, and perceived control<br>• measures of attention, distraction, and cognitive load in daily digital life<br>• wellbeing and psychological state items suitable for longitudinal comparison<br>• values clarity, purpose, and meaning-related measures<br>• trust in information environments and reliance on automated or intelligent systems<br>• digital exposure variables (hours online, AI tool usage frequency)<br>• demographic variables across six English-speaking countriesData were collected via Prolific from adults (18+) in the United Kingdom, United States, Australia, Canada, New Zealand, and Ireland. Participants provided explicit consent for anonymised open publication.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, including:<br>• canonical snake_case variable naming<br>• validated numeric value ranges<br>• standardised categorical encodings<br>• removal of duplicate submissions<br>• removal of all identifiers and timestamps<br>• full alignment with the accompanying data dictionary<br>• cryptographic checksums for file integrityThis dataset is intended to be updated through repeated data collection waves using a consistent core of measures. Each update is released as a new dataset version while retaining a stable canonical identity, enabling longitudinal analysis and comparison across time.The Human Experience Baseline underpins a broader library of topical datasets published by the Human Clarity Institute, allowing specific human–AI interaction phenomena to be interpreted relative to an established reference baseline rather than as isolated snapshots.
DOI: 10.17632/px5p6zdk6k.2
title: Field-Acquired RGB-Depth Image Dataset for Baby Broccoli Detection and Size Estimation Under Varying Illumination Conditions

description: This dataset contains 1,759 paired RGB images (640×480 pixels) and corresponding 16-bit depth frames of baby broccoli plants acquired in commercial fields using an Intel RealSense D435 camera under daytime and night-time illumination. The images are organised into daytime and night-time folders with matching RGB-depth pairs. The data support research on agricultural computer vision and robotic harvesting, including broccoli detection, segmentation, size estimation, and illumination-robust perception in field environments.