cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18441715
title: Filtered Plate Waste Measurement Data from Latvian Schools (Rezekne, Grades 1–7), December 2023.

description: This dataset contains filtered plate waste measurement data collected from four secondary schools in Rezekne, Latvia, as part of a field experiment evaluating interventions to reduce plate waste in school canteens. The data were collected using the direct weighing method.

The study was conducted in schools operating under a partly pre-served catering model, which is typical for Latvian public schools. In this model, the main dish is pre-served on individual plates, and students do not freely choose portion sizes. The dataset covers students in Grades 1–7 (approximately aged 7–13) who received free school lunches funded by municipal and state resources.

The dataset includes only individual plate waste generated by students. Food waste originating from common serving plates, shared bowls, pots, or other communal containers (e.g., salad, soup, and bread) was excluded in order to ensure consistency and to focus on individual consumption behavior when assessing the impact of interventions.

A filtering procedure was applied to extra-served meals resulting from student absences. Extra portions that were served but not consumed at all were excluded from the dataset. If an extra served meal was partially consumed by classmates, it was included in both the served food amount and the corresponding plate waste amount, in accordance with the study’s methodological approach.

All measurements were conducted under controlled conditions with a unified menu design to minimize menu-related variability. Data were anonymized at the school level, and no personal data of pupils were collected.

In addition to aggregated school-level data, the dataset includes plate waste measurements aggregated by student groups. These groups distinguish between Grades 1–4 (approximately aged 7–10) and Grades 5–7 (approximately aged 11–13), corresponding to primary and lower secondary school levels. This structure enables comparative analysis of plate waste across different age groups while preserving student anonymity.

Full details on the study design, catering model, measurement protocol, and data processing are provided in the associated peer-reviewed publication https://doi.org/10.3390/foods14010126

This research was funded by the Latvian Council of Science project No.lzp-2022/1-0492.
DOI: 10.5281/zenodo.18441266
title: DATASET: User Engagement & Cognitive Retention in a Digital Yoga Philosophy Course (Yamas & Niyamas) (2016-2025)

description: This dataset presents longitudinal user telemetry from a purely theoretical digital intervention focused on the ethical foundations of Yoga (Yamas and Niyamas), hosted on an open-access video platform (YouTube).The data spans a 9-year observation period (Jul 2016 – Dec 2025).Unlike the practical intervention dataset (Rollán, 2026a-c), this course contains no physical component, serving as a case study for "Cognitive Adherence" to the philosophical curriculum of Yoga.The intervention follows the structure of the author's monograph "Yamas y Niyamas: Los peldaños olvidados del Yoga" (Rollán, 2025), covering the 5 moral restraints (Yamas) and 5 observances (Niyamas).Metrics include cognitive retention rates, topic-specific drop-off points, and session depth, offering a rare comparative baseline between physical (asana) and intellectual (svadhyaya) engagement in digital wellness consumers.

 

REFERENCES

- Rollán-González, A. (2025). Yamas y Niyamas: Los peldaños olvidados del Yoga. (1 ed.). Autor. ISBN: 979-8285819165

- Rollán-González, A. (2026a). DATASET: User Telemetry & Cross-Platform Metrics in a Digital Relaxation Intervention (2014-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18371711

- Rollán-González, A. (2026b). DATASET: User Telemetry & Cross-Platform Metrics in a Digital Mindfulness Intervention (2018-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18371758

- Rollán-González, A. (2026c). DATASET: User Adherence & Attrition in a Non-Guided Digital Yoga Intervention (Open Access, 2014-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18387842
DOI: 10.5281/zenodo.18441267
title: DATASET: User Engagement & Cognitive Retention in a Digital Yoga Philosophy Course (Yamas & Niyamas) (2016-2025)

description: This dataset presents longitudinal user telemetry from a purely theoretical digital intervention focused on the ethical foundations of Yoga (Yamas and Niyamas), hosted on an open-access video platform (YouTube).The data spans a 9-year observation period (Jul 2016 – Dec 2025).Unlike the practical intervention dataset (Rollán, 2026a-c), this course contains no physical component, serving as a case study for "Cognitive Adherence" to the philosophical curriculum of Yoga.The intervention follows the structure of the author's monograph "Yamas y Niyamas: Los peldaños olvidados del Yoga" (Rollán, 2025), covering the 5 moral restraints (Yamas) and 5 observances (Niyamas).Metrics include cognitive retention rates, topic-specific drop-off points, and session depth, offering a rare comparative baseline between physical (asana) and intellectual (svadhyaya) engagement in digital wellness consumers.

 

REFERENCES

- Rollán-González, A. (2025). Yamas y Niyamas: Los peldaños olvidados del Yoga. (1 ed.). Autor. ISBN: 979-8285819165

- Rollán-González, A. (2026a). DATASET: User Telemetry & Cross-Platform Metrics in a Digital Relaxation Intervention (2014-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18371711

- Rollán-González, A. (2026b). DATASET: User Telemetry & Cross-Platform Metrics in a Digital Mindfulness Intervention (2018-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18371758

- Rollán-González, A. (2026c). DATASET: User Adherence & Attrition in a Non-Guided Digital Yoga Intervention (Open Access, 2014-2025) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18387842
DOI: 10.5281/zenodo.18441746
title: PEDAGOGICAL IMPROVIZATION - A FACTOR OF EDUCATIONAL EFFICIENCY

description: This article discusses the requirements for today's teacher, the necessary competencies, the teacher's ability to turn the situation into a direction that guarantees the high-quality implementation of the goal through quick decision-making and pedagogical experience and skills, the teacher's ability to improvise pedagogically, pedagogical foresight in the successful implementation of the professional tasks set, and the processes that demonstrate the well-developed intuitive activity.
DOI: 10.5281/zenodo.18441747
title: PEDAGOGICAL IMPROVIZATION - A FACTOR OF EDUCATIONAL EFFICIENCY

description: This article discusses the requirements for today's teacher, the necessary competencies, the teacher's ability to turn the situation into a direction that guarantees the high-quality implementation of the goal through quick decision-making and pedagogical experience and skills, the teacher's ability to improvise pedagogically, pedagogical foresight in the successful implementation of the professional tasks set, and the processes that demonstrate the well-developed intuitive activity.
DOI: 10.5281/zenodo.18441768
title: ENVIRONMENTAL STEWARDSHIP: VITAL AND ETHICAL PERSPECTIVES

description: This article analyzes the vital and ethical foundations of environmental stewardship. The research emphasizes the necessity of perceiving nature not merely as a resource for human consumption but as a complex living system. Drawing upon the ecological roles of flora, the study explains the ethical and scientific dimensions of environmental protection, supported by the philosophical insights of both ancient and modern scholars. Ultimately, the paper calls for a reassessment of humanity's responsibility to live in harmony with the natural world.(3)
DOI: 10.5281/zenodo.18441769
title: ENVIRONMENTAL STEWARDSHIP: VITAL AND ETHICAL PERSPECTIVES

description: This article analyzes the vital and ethical foundations of environmental stewardship. The research emphasizes the necessity of perceiving nature not merely as a resource for human consumption but as a complex living system. Drawing upon the ecological roles of flora, the study explains the ethical and scientific dimensions of environmental protection, supported by the philosophical insights of both ancient and modern scholars. Ultimately, the paper calls for a reassessment of humanity's responsibility to live in harmony with the natural world.(3)
DOI: 10.5281/zenodo.18441755
title: Filtered Plate Waste Measurement Data from Latvian Schools (Rezekne, Grades 1–7), April 2024.

description: This dataset contains filtered plate waste measurement data collected from four secondary schools in Rezekne, Latvia, as part of a field experiment evaluating interventions to reduce plate waste in school canteens. The data were collected using the direct weighing method.

The study was conducted in schools operating under a partly pre-served catering model, which is typical for Latvian public schools. In this model, the main dish is pre-served on individual plates, and students do not freely choose portion sizes. The dataset covers students in Grades 1–7 (approximately aged 7–13) who received free school lunches funded by municipal and state resources.

The dataset includes only individual plate waste generated by students. Food waste originating from common serving plates, shared bowls, pots, or other communal containers (e.g., salad, soup, and bread) was excluded in order to ensure consistency and to focus on individual consumption behavior when assessing the impact of interventions.

A filtering procedure was applied to extra-served meals resulting from student absences. Extra portions that were served but not consumed at all were excluded from the dataset. If an extra served meal was partially consumed by classmates, it was included in both the served food amount and the corresponding plate waste amount, in accordance with the study’s methodological approach.

All measurements were conducted under controlled conditions with a unified menu design to minimize menu-related variability. Data were anonymized at the school level, and no personal data of pupils were collected.

In addition to aggregated school-level data, the dataset includes plate waste measurements aggregated by student groups. These groups distinguish between Grades 1–4 (approximately aged 7–10) and Grades 5–7 (approximately aged 11–13), corresponding to primary and lower secondary school levels. This structure enables comparative analysis of plate waste across different age groups while preserving student anonymity.

Full details on the study design, catering model, measurement protocol, and data processing are provided in the associated peer-reviewed publication https://doi.org/10.3390/foods14010126 

This research was funded by the Latvian Council of Science project No.lzp-2022/1-0492.
DOI: 10.5281/zenodo.18441756
title: Filtered Plate Waste Measurement Data from Latvian Schools (Rezekne, Grades 1–7), April 2024.

description: This dataset contains filtered plate waste measurement data collected from four secondary schools in Rezekne, Latvia, as part of a field experiment evaluating interventions to reduce plate waste in school canteens. The data were collected using the direct weighing method.

The study was conducted in schools operating under a partly pre-served catering model, which is typical for Latvian public schools. In this model, the main dish is pre-served on individual plates, and students do not freely choose portion sizes. The dataset covers students in Grades 1–7 (approximately aged 7–13) who received free school lunches funded by municipal and state resources.

The dataset includes only individual plate waste generated by students. Food waste originating from common serving plates, shared bowls, pots, or other communal containers (e.g., salad, soup, and bread) was excluded in order to ensure consistency and to focus on individual consumption behavior when assessing the impact of interventions.

A filtering procedure was applied to extra-served meals resulting from student absences. Extra portions that were served but not consumed at all were excluded from the dataset. If an extra served meal was partially consumed by classmates, it was included in both the served food amount and the corresponding plate waste amount, in accordance with the study’s methodological approach.

All measurements were conducted under controlled conditions with a unified menu design to minimize menu-related variability. Data were anonymized at the school level, and no personal data of pupils were collected.

In addition to aggregated school-level data, the dataset includes plate waste measurements aggregated by student groups. These groups distinguish between Grades 1–4 (approximately aged 7–10) and Grades 5–7 (approximately aged 11–13), corresponding to primary and lower secondary school levels. This structure enables comparative analysis of plate waste across different age groups while preserving student anonymity.

Full details on the study design, catering model, measurement protocol, and data processing are provided in the associated peer-reviewed publication https://doi.org/10.3390/foods14010126 

This research was funded by the Latvian Council of Science project No.lzp-2022/1-0492.
DOI: 10.7278/s5d-n1jc-2d68
title: Highland High Micro Rain Radar Data 2022–2024
DOI: 10.15468/dl.ph39un
title: Occurrence Download

description: A dataset containing 2312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Nasua nasua (Linnaeus, 1766)"
 ]
}

 The dataset includes 2312 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016506-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqsjkc
title: Occurrence Download

description: A dataset containing 1943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 1943 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016505-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.fqz612jzg
title: The first Permian Diaphanopterodea (Insecta, Megasecopteromorpha) from China

description: A new Diaphanopterodea (Insecta, Palaeoptera, Megasecopteromorpha),
 Sinoelmoa yangquanensis gen. et sp. nov., is described based on a single
 specimen discovered from the Shuiquan Gully locality (Shanxi Formation;
 Permian, Cisuralian, Asselian; China). A broad comparative analysis of the
 wing venation of the known members of the diaphanopterodean families
 Parelmoidae and Elmoidae allowed assigning the new taxon to the former
 family. This new occurrence represents the first record of a Permian
 Diaphanopterodea from China, and both the earliest and most oriental
 record for the Parelmoidae. It sheds new light on the distribution and
 diversity of these extinct taxa.
description: The dataset contains two RTI (Reflectance Transformation Imaging)
 files of the right forewing of the fossil insect specimen Ld LAP 365
 (Musée of Lodève, France), holotype of <em>Permelmoa
 magnific</em>a (Prokop & Nel, 2011). The
 RTI files composing this dataset was derived from 2 different sets of 42
 photographs obtained using a light dome of about 30 cm in diameter and
 equipped with 42 LEDs. Both the light dome and camera (a Canon EOS 5DS
 equipped with a MP-E 65 mm macro lens, all Canon, Tokyo, Japan) were
 driven by a control box (dome and control box, Flydome, Paris, France).
 Obtained images were then batch-optimized using Adobe Photoshop CS6 and
 were further compiled into an RTI file using the RTI Builder software v.
 2.0.2 using the HSH fitter (software freely available from Cultural
 Heritage Imaging, San Francisco, CA, USA).
description: # Data from: The first Permian Diaphanopterodea (Insecta,
 Megasecopteromorpha) from China
 [https://doi.org/10.5061/dryad.fqz612jzg](https://doi.org/10.5061/dryad.fqz612jzg) ## Description of the data and file structure The dataset contains a RTI (Reflectance Transformation Imaging) of the right forewing of the fossil insect specimen Ld LAP 365 (Musée of Lodève, France), holotype of *Permelmoa magnifica* (Prokop & Nel, 2011). The RTI files composing this dataset was derived from 2 different sets of 42 photographs obtained using a light dome of about 30 cm in diameter and equipped with 42 LEDs. Both the light dome and camera (a Canon EOS 5DS equipped with a MP-E 65 mm macro lens, all Canon, Tokyo, Japan) were driven by a control box (dome and control box, Flydome, Paris, France). Obtained images were then batch-optimized using Adobe Photoshop CS6 and were further compiled into an RTI file using the RTI Builder software v. 2.0.2 using the HSH fitter (software freely available from Cultural Heritage Imaging, San Francisco, CA, USA). ## Code/Software The RTI file composing this dataset can be opened using RTIviewer (software freely available from Cultural Heritage Imaging, San Francisco, CA, USA).
DOI: 10.15468/dl.mt8xbq
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pachycereus gaumeri"
 ]
}

 The dataset includes 148 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003681-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.xwdbrv1kb
title: Pakistani historical wheat panel 37K SNP data

description: A collection of 196 historical wheat cultivars of Pakistan released
 between 1911 to 2022 were subjected to DNA fingerprinting using 16K
 genotyping-by-targeted sequencing (GBTS) platform. This platform is based
 on NGS and the 16K probes were resequenced. The resequencing data was
 aligned to Chinese Spring RefSeq version 1.1 and SNPcalling was performed.
 This resulted in 37K mSNP (multiple SNPs) DNA fingerprinting data. This is
 thus far the most comprehensive DNA fingerprinting data of all released
 cultivars of wheat so far. This data is publically available and can be
 used in research and publications subject to the
 acknowledgement. 
description: All the wheat cultivars seeds were provided by Dr. Muhammad Fayyz
 (CDRI, NARC). DNA was extracted from each cultivar following standard CTAB
 protocol. The DNA was sent to MolBreeding (TM), Shijiazhuang, China for
 16K GBTS (liquid chip) analysis. The sequencing data was aligned to Wheat
 Ref Seq version 1.1, and the SNP calling was performed. The raw SNP data
 is provided as vcf format. 
description: # Pakistani historical wheat panel 16K SNP data
 [https://doi.org/10.5061/dryad.xwdbrv1kb](https://doi.org/10.5061/dryad.xwdbrv1kb) This dataset comprised of a metadata file, a pedigree file containing all the information of cultivars, a SNP data file in vcf format and annotation file containing snp\_effect information. ## Sharing/Access information In case of publication, the link will be provided here. * ## Code/Software This dataset in vcf format can be directly used by any genetic analysis software like TASSEL, vcftools etc.
DOI: 10.6084/m9.figshare.31113934
title: Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease

description: <b>In case of using our dataset, please cite our work:</b>Kairat, M., Adilmetova, G., Ibraimova, I., Gaipov, A., Varol, H. A., & Chan, M. Y. (2025). Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease. <i>Journal of clinical medicine</i>, <i>14</i>(22), 8033. https://doi.org/10.3390/jcm14228033<b>Description:</b>This repository presents a structured evaluation of large language model (LLM)-generated nutritional recommendations for patients with chronic kidney disease (CKD). It includes 5 detailed mock patient profiles, standardized prompts, responses from three state-of-the-art LLMs, and expert evaluations. The goal is to assess how effectively LLMs can provide stage-appropriate, culturally relevant dietary guidance for CKD management.Patient profiles vary in complexity and represent different stages of CKD and common comorbidities, simulating real-world clinical use cases.LLMs Evaluated<br>Each patient case was submitted to the following LLMs:<br>ChatGPT-4 (OpenAI)Gemini (Google)Copilot (Microsoft)Each model generated responses to the same prompt, allowing for comparison across LLMs.Prompt Used<br>All LLMs received the same standardized prompt for each patient case:Provide a culturally appropriate, stage-specific dietary plan (breakfast, lunch, and dinner) for this patient with chronic kidney disease (CKD). Consider dietary restrictions (e.g., sodium, potassium, phosphorus, and protein intake) and incorporate foods commonly consumed in Central Asia.Evaluation Criteria<br>Three domain experts (nutritionists and/or nephrologists) evaluated each LLM-generated response<br>based on the following criteria:<br>Personalization – How well the response reflects the patient’s specific clinical condition and<br>context.Consistency with Guidelines – Adherence to evidence-based dietary recommendations for CKD.Practicality and Availability – Feasibility and cultural relevance of the proposed meal plan using<br>foods commonly consumed in Central Asia.The repository contains the following files and folders:CKD 5 cases.docx – Five detailed mock patient profiles with varying CKD stages and clinical complexity.Evaluation_Criteria.docx – Description of the evaluation rubric used by experts, including definitions for personalization, guideline consistency, and practicality/availability.Prompts-20250703T071939Z-1-001.zip – Contains standardized prompts and LLM-generated responses for each CKD case. Responses are organized by case and model (ChatGPT-4, Gemini, Copilot).Evaluations-20250703T071933Z-1-001.zip – Contains expert evaluation data, including scores and comments for each LLM response across all criteria.<br>