cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/jjdfmh
title: Replication Data for Schmuck, David and Hohendorf, Lukas (2023) "Loyal lists, distinctive districts: how dissent-shirking and leisure-shirking affect mixed-candidate selection"

description: In parliamentary systems, party leaderships accomplish party unity by promising
positive incentives to their members of parliament (MP) and threatening
them with negative incentives. Regarding reselection, ‘loyal’ and active MPs
should be rewarded with promising list positions, while rebellious and ‘slacking’
MPs should be punished with worse list positions or even denied renomination.
Although this assumption is central to explaining party unity induced by party
discipline, empirical evidence for this practice has been scarce. The study
combines data on roll-call voting, parliamentary speeches and questions in
the German Bundestag from 1990 to 2017 with novel data on renominations
including renomination failures. Investigating list position changes and renomination
failures in the German mixed-member system, the results indicate that
selectorates of list candidates punished dissenting voting behaviour, while
selectorates of district candidates considered the degree of parliamentary
activity. The findings have broader implications for the representatives’ accountability
in parliamentary systems.
DOI: 10.25824/redu/d2wzle
title: Replication data for: Redundancy and complementarity of proximal and orbital soil sensing techniques for mapping on-farm soil variability

description: This dataset contains the original data used in the production of the master's dissertation and the article cited here. It is composed of data from three different agricultural areas in the state of São Paulo: (i) Campina Farm (Caiuá municipality), (ii) São José Farm (Cosmópolis municipality), and (iii) Aliada Farm (Sales Oliveira municipality). The provided table has three sheets, one for each farm. The values were extracted to soil collection coordinates. In each, the following items are provided: - Soil grid and physicochemical properties (x, y, clay, silt, sand, TOC); - Soil Chemical Quality Index (SCQI); - Soil texture classes (EMBRAPA Triangle); - Laboratory magnetic susceptibility (MSlab); - Sentinel-2 Synthetic Soil Image (SYSI) bands (B, G, R, RE, NIR, SWIR1, SWIR2) and HSV conversion - apparent electrical conductivity and magnetic susceptibility (ECa, MSa) - portable X-ray fluorescence spectroscopy (pXRF); and - Visible-infrared diffuse spectroscopy (VNIR). Scripts used can be provided upon request by e-mail (jvpozzuto@gmail.com)
DOI: 10.7910/dvn/df6iem
title: Moralized Occupational Privilege: Remote Work, Moral Claims, and the Legitimation of Labor Inequality

description: This study examines how the moral valorization of remote work interacts with labor market segmentation to structure such evaluations.
DOI: 10.7910/dvn/sy0tsm
title: Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease

description: In case of using our dataset, please cite our work:

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. Journal of clinical medicine, 14(22), 8033. https://doi.org/10.3390/jcm14228033


Description:
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

Each patient case was submitted to the following LLMs:
ChatGPT-4 (OpenAI)
Gemini (Google)
Copilot (Microsoft)
Each model generated responses to the same prompt, allowing for comparison across LLMs.

Prompt Used

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

Three domain experts (nutritionists and/or nephrologists) evaluated each LLM-generated response
based on the following criteria:
Personalization – How well the response reflects the patient’s specific clinical condition and 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 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.
DOI: 10.5281/zenodo.18420575
title: TECHNOLOGIESOFFORMINGPEDAGOGICALRESPONSIBILITYTHROUGHDEVELOPMENTOFPROFESSIONALCOMPETENCESINFUTURETEACHERS

description: The article provides suggestions for improving knowledge, skills, and qualifications in pedagogical responsibility, teachers' sense of morality, rights and obligations, duty, dignity, and responsibility for social behavior, striving for the intended goal, self-development, and constant self-research and application of the results in practice.
DOI: 10.5281/zenodo.18420576
title: TECHNOLOGIESOFFORMINGPEDAGOGICALRESPONSIBILITYTHROUGHDEVELOPMENTOFPROFESSIONALCOMPETENCESINFUTURETEACHERS

description: The article provides suggestions for improving knowledge, skills, and qualifications in pedagogical responsibility, teachers' sense of morality, rights and obligations, duty, dignity, and responsibility for social behavior, striving for the intended goal, self-development, and constant self-research and application of the results in practice.
DOI: 10.7910/dvn/sx2v55
title: Flash Flood Quick Response Surveys

description: The Flash Flood Quick Response Survey Data Collection is a multi year, multi event database that aims to improve understanding of how different factors interact to influence people’s perception of and response to flash flood threats. Post event surveys gather detailed data on how environmental conditions, warning information sources and channels, social cues, prior experience, vulnerability characteristics, and situational constraints combine to shape individual preparedness and protective action decisions as the hazard unfolds.

Surveys were disseminated in collaboration with 12 participating National Weather Service Forecast Offices between 2022 – 2025 representing 23 flash flood events. A total of 2,468 surveys were collected. Data included in the collection: a) Survey Flow Chart, b) Codebook, c) Data Collection Results available in CSV, Stata, and SPSS formats (forthcoming), and a Data Collection Summary.
description: Data included in the collection: a) Survey Flow Chart, b) Codebook, c) Data Collection Results available in CSV, Stata, and SPSS formats (forthcoming), and data collection summary.
DOI: 10.34740/kaggle/dsv/14667467
title: Market Prices of Commodities in South Tangerang
DOI: 10.5281/zenodo.16356970
title: X-ray Transient Candidate Database using a Custom Pipeline on the Chandra Data Archive

description:  

📄 Description of the file final_candidates_catalogue_2026_clean_with_suffixes.csv

This catalogue contains transient candidate detections identified in the Chandra X-ray archive using a custom pipeline (including the novel CuDiDi method). Each row corresponds to one candidate event. The candidates are named using the convention:

XT YYMMDD[a-z],where YYMMDD represents the date of the observation, and the optional lowercase letter (a, b, c, …) distinguishes multiple candidates from the same observation.

The table includes the following columns:

🔢 General Columns





CANDIDATE:Name of the candidate in the format XT YYMMDD, with an optional alphabetical suffix (e.g., XT 230615b) if multiple candidates were found in the same observation.




OBSID:Chandra Observation ID in which the candidate was found.




SOURCE:Internal source number within the observation (from source detection).




RA / DEC:Right Ascension and Declination of the candidate (J2000 coordinates).



🚩 Diagnostic Flags (Boolean)

These flags help assess the reliability of each candidate and identify potential artefacts or known sources. A value of True indicates that the corresponding condition applies:





non_unique:True if the transient is matched with a source detected at low significance in other Chandra observations (sources detected at >3σ in more than one observation are already excluded).




snr_match:True if the candidate falls within an observation known to contain a Galactic supernova remnant (e.g., Cassiopeia A, Tycho), based on cross-matching with SNR catalogs.




extended_fov:True if the source lies within or near an extended structure (e.g., diffuse Galactic emission) identified by manual inspection of the field of view.




readout_streak:True if the source overlaps with a known instrumental readout streak, often caused by bright sources like Cyg X-1.




edge_affected:True if the detected source region is only partially covered by the detector due to dithering, which may result in unreliable flux or light curve measurements.




bkg_correlated:True if the source light curve is strongly correlated (Pearson coefficient > 0.15) with the background during the T90 interval, indicating likely background flaring.




start_or_end:True if the start (T5) or end (T95) of the transient lies within the first or last 5% of the observation. Such events may be truncated by the observational window.



Of 1505 candidates, 819 have no flags set to true and are considered the 'golden sample'.
DOI: 10.5281/zenodo.18369337
title: X-ray Transient Candidate Database using a Custom Pipeline on the Chandra Data Archive

description:  

📄 Description of the file final_candidates_catalogue_2026_clean_with_suffixes.csv

This catalogue contains transient candidate detections identified in the Chandra X-ray archive using a custom pipeline (including the novel CuDiDi method). Each row corresponds to one candidate event. The candidates are named using the convention:

XT YYMMDD[a-z],where YYMMDD represents the date of the observation, and the optional lowercase letter (a, b, c, …) distinguishes multiple candidates from the same observation.

The table includes the following columns:

🔢 General Columns





CANDIDATE:Name of the candidate in the format XT YYMMDD, with an optional alphabetical suffix (e.g., XT 230615b) if multiple candidates were found in the same observation.




OBSID:Chandra Observation ID in which the candidate was found.




SOURCE:Internal source number within the observation (from source detection).




RA / DEC:Right Ascension and Declination of the candidate (J2000 coordinates).



🚩 Diagnostic Flags (Boolean)

These flags help assess the reliability of each candidate and identify potential artefacts or known sources. A value of True indicates that the corresponding condition applies:





non_unique:True if the transient is matched with a source detected at low significance in other Chandra observations (sources detected at >3σ in more than one observation are already excluded).




snr_match:True if the candidate falls within an observation known to contain a Galactic supernova remnant (e.g., Cassiopeia A, Tycho), based on cross-matching with SNR catalogs.




extended_fov:True if the source lies within or near an extended structure (e.g., diffuse Galactic emission) identified by manual inspection of the field of view.




readout_streak:True if the source overlaps with a known instrumental readout streak, often caused by bright sources like Cyg X-1.




edge_affected:True if the detected source region is only partially covered by the detector due to dithering, which may result in unreliable flux or light curve measurements.




bkg_correlated:True if the source light curve is strongly correlated (Pearson coefficient > 0.15) with the background during the T90 interval, indicating likely background flaring.




start_or_end:True if the start (T5) or end (T95) of the transient lies within the first or last 5% of the observation. Such events may be truncated by the observational window.



Of 1505 candidates, 819 have no flags set to true and are considered the 'golden sample'.
DOI: 10.5281/zenodo.18378004
title: Distribution and first insights into the reproductive biology of two Rhamdia species (Siluriformes, Heptapteridae) within a Biosphere Reserve

description: TableA1. Data of measurements of Rhamdia guatemalensis and Rhamdia laticauda. 

Table A2. Data of fecundity of Rhamdia guatemalensis and Rhamdia laticauda.
DOI: 10.5281/zenodo.18378003
title: Distribution and first insights into the reproductive biology of two Rhamdia species (Siluriformes, Heptapteridae) within a Biosphere Reserve

description: TableA1. Data of measurements of Rhamdia guatemalensis and Rhamdia laticauda. 

Table A2. Data of fecundity of Rhamdia guatemalensis and Rhamdia laticauda.
DOI: 10.57967/hf/7673
title: multilingual-quran
DOI: 10.3535/f9s-8rr-qb3
title: Avena × scholzii Tzvelev

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.7910/dvn/zqbeh5
title: Replication Data for: Fast Track to Success? A Mixed Methods Evaluation of Condensed Course Formats at Tennessee Community Colleges

description: Enclosed are the necessary files to replicate the quantitative findings from the paper, "Fast Track to Success? A Mixed Methods Evaluation of Condensed Course Formats at Tennessee Community Colleges."
DOI: 10.7910/dvn/lebjht
title: Tornado Quick Response Surveys

description: The Tornado Quick Response Survey Data Collection is a multi year, multi event database that aims to improve understanding of how different factors interact to influence people’s perception of and response to tornado threats. Post event surveys gather detailed data on how environmental conditions, warning information sources and channels, social cues, prior experience, vulnerability characteristics, and situational constraints combine to shape individual preparedness and protective action decisions as the hazard unfolds.

Surveys were disseminated in collaboration with 6 participating National Weather Service Forecast Offices between December 2022 – May 2024 representing 13 tornado events. A total of 3,864 surveys were collected. Data included in the collection: a) Survey Flow Chart, b) Codebook and c) Data Collection Results available in CSV, Stata, and SPSS formats (forthcoming), and Data Collection Summary Notes.
description: Data included in the collection: a) Survey Flow Chart, b) Codebook and c) Data Collection Results available in CSV, Stata, and SPSS formats (forthcoming), and Data Collection Summary Notes.
DOI: 10.7910/dvn/3li4dd
title: Winter Weather Quick Response Surveys

description: The Winter Weather Quick Response Survey Data Collection is a multi year, multi event database that aims to improve understanding of how different factors interact to influence people’s perception of and response to winter weather threats. Post event surveys gather detailed data on how environmental conditions, warning information sources and channels, social cues, prior experience, vulnerability characteristics, and situational constraints combine to shape individual preparedness and protective action decisions as the hazard unfolds.

Surveys were disseminated in collaboration with 3 participating National Weather Service Forecast Offices between 2023 – 2025 representing 5 winter weather events. A total of 7,087 surveys were collected. Data included in the collection: a) Survey Flow Chart, b) Codebook, c) Data Collection Results available in CSV, (Stata and SPSS formats forthcoming), and data collection notes.
description: Data included in the collection: a) Survey Flow Chart, b) Codebook, c) Data Collection Results available in CSV, (Stata and SPSS formats forthcoming), and d) data collection summary.
DOI: 10.15468/3aa5qc
title: Hedeoma salomeae (Lamiaceae), a new species from Nuevo León, Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article González-Gallegos, Jesús Guadalupe, Velázquez-Ríos, Perla, Martínez-Guerra, Marceloalí (2025): Hedeoma salomeae (Lamiaceae), a new species from Nuevo León, Mexico. Phytotaxa 726 (4): 291-300, DOI: 10.11646/phytotaxa.726.4.6, URL: https://doi.org/10.11646/phytotaxa.726.4.6AbstractThe American genus Hedeoma (Lamiaceae) concentrates its highest species richness in northern Mexico and the United States. It is one of Mexico’s most speciose Lamiaceae genera, and it is relatively well known based on recent taxonomic revisions, although it might require taxonomic rearrangements due to phylogenetic relationships. Northeastern Mexico has been previously identified as a center of diversity for the genus, primarily referring to isolated ravines at the foot of mountains or mountain tops and usually associated with limestone or gypsum patches. Routine examination of new observations of Mexican Lamiaceae in iNaturalist led to the discovery of a new Hedeoma species from the region mentioned above, supporting the observed distribution pattern of the genus. This new species is morphologically most similar to H. nana, which also grows in the same area. Still, it differs in the type of root system, density and compactness of the branching, stem indument, petiole length, calyx shape and symmetry, and corolla color. The new species is here described as H. salomeae, along with a diagnostic discussion against its most similar congener, botanical illustration, photographs, and a distribution map.
DOI: 10.7910/dvn/mgrfjd
title: Optimising educational quality assurance through academic data management: A systematic review

description: Dataset IEEE, Springer, Scopus, Vosviewer
DOI: 10.34740/kaggle/dsv/14667505
title: Booru.org Top Leaderboard
DOI: 10.34740/kaggle/dsv/14667257
title: Tomato Leaf Disease Dataset (6 Classes)
DOI: 10.5281/zenodo.18420625
title: THEROLEOFDIGITALTOOLSINONLINEENGLISHLANGUAGETEACHING.

description: The rapid development of digital technologies has significantly transformed the field of education, particularly in the teaching and learning of foreign languages. Online English language teaching has become increasingly widespread, making digital tools an essential component of modern pedagogy. These tools support interactive learning, enhance learner motivation, and provide access to authentic language resources. This article examines the role of digital tools in online English language teaching, focusing on their pedagogical benefits, types, and practical applications. Special attention is given to how digital platforms contribute to the development of language skills, learner autonomy, and teacher effectiveness. The study also discusses challenges related to the use of digital tools and suggests ways to overcome them. The findings highlight that when used appropriately, digital tools can significantly improve the quality and effectiveness of online English language instruction [1].
DOI: 10.5281/zenodo.18420624
title: THEROLEOFDIGITALTOOLSINONLINEENGLISHLANGUAGETEACHING.

description: The rapid development of digital technologies has significantly transformed the field of education, particularly in the teaching and learning of foreign languages. Online English language teaching has become increasingly widespread, making digital tools an essential component of modern pedagogy. These tools support interactive learning, enhance learner motivation, and provide access to authentic language resources. This article examines the role of digital tools in online English language teaching, focusing on their pedagogical benefits, types, and practical applications. Special attention is given to how digital platforms contribute to the development of language skills, learner autonomy, and teacher effectiveness. The study also discusses challenges related to the use of digital tools and suggests ways to overcome them. The findings highlight that when used appropriately, digital tools can significantly improve the quality and effectiveness of online English language instruction [1].
DOI: 10.15468/dl.et48fg
title: Occurrence Download

description: A dataset containing 15470015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is one of (United States of America, Canada)",
 "OccurrenceStatus is Present",
 "TaxonKey is Poecile atricapillus",
 "Year 2015-2026"
 ]
}

 The dataset includes 15470015 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000589-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pf4d3
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anzhengxia yechengnica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000622-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7jweb
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phanaeus amithaon"
 ]
}

 The dataset includes 665 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000626-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.