cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e230903
title: Investigating L2 Learners’ Task Motivation in Mandarin Chinese Essay Writing: The Role of ChatGPT in AI-Mediated Learning

description: This project investigates the impact of AI-mediated learning on second language (L2) learners’ task motivation in Mandarin Chinese essay writing. Seventy-two undergraduate students were randomly assigned to either an AI-assisted writing intervention or a peer-collaborative control group. Quantitative analyses demonstrated a significant immediate increase in motivation for the intervention group, with gains sustained at the delayed post-test.Qualitative analysis of eight participants revealed four key themes: enhanced writing confidence, increased enjoyment, over-reliance on AI, and frustration due to misaligned outputs. Interactions with ChatGPT primarily focused on vocabulary and sentence-level refinement rather than broader content development. Findings suggest that AI scaffolding can improve learners’ perceived competence, autonomy, and self-regulatory strategies, though excessive reliance may limit deeper cognitive engagement. Instructional recommendations include draft-first approaches, reflective prompts, and teacher mediation to optimize AI use. Overall, integrating ChatGPT into CFL essay writing can meaningfully enhance multidimensional task motivation.
DOI: 10.3886/e230903v2
title: Investigating L2 Learners’ Task Motivation in Mandarin Chinese Essay Writing: The Role of ChatGPT in AI-Mediated Learning

description: This project investigates the impact of AI-mediated learning on second language (L2) learners’ task motivation in Mandarin Chinese essay writing. Seventy-two undergraduate students were randomly assigned to either an AI-assisted writing intervention or a peer-collaborative control group. Quantitative analyses demonstrated a significant immediate increase in motivation for the intervention group, with gains sustained at the delayed post-test.Qualitative analysis of eight participants revealed four key themes: enhanced writing confidence, increased enjoyment, over-reliance on AI, and frustration due to misaligned outputs. Interactions with ChatGPT primarily focused on vocabulary and sentence-level refinement rather than broader content development. Findings suggest that AI scaffolding can improve learners’ perceived competence, autonomy, and self-regulatory strategies, though excessive reliance may limit deeper cognitive engagement. Instructional recommendations include draft-first approaches, reflective prompts, and teacher mediation to optimize AI use. Overall, integrating ChatGPT into CFL essay writing can meaningfully enhance multidimensional task motivation.
DOI: 10.34740/kaggle/ds/9515642
title: Open-SciLay: Large-Scale Synthetic Document Layout
DOI: 10.5281/zenodo.18677207
title: Dataset: Air Quality Dataset for Caracas (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Caracas covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Caracas, compare Caracas with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677208
title: Dataset: Air Quality Dataset for Caracas (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Caracas covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Caracas, compare Caracas with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.kw33j5
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola verticillata"
 ]
}

 The dataset includes 52 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026519-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8v78ms
title: Observation data collected by Marine Biological Museum, Chinese Academy of Sciences (YS-Part II)

description: Observation data collected by Marine Biological Museum, Chinese Academy of Sciences (MBMCAS) during the project NCOI. (YS-Part I)
DOI: 10.5281/zenodo.18616838
title: Teukolsky equation solutions for delta-function source

description: Description:

This repository provides numerical data associated with the paper "Resonance in black hole ringdown: Benchmarking quasinormal mode excitation and extraction" (arXiv:2509.06411).

The dataset includes numerical solutions to the Teukolsky equation sourced by a delta-function source. 

Contents:





/waveform/: Contains numerical solutions of the Teukolsky equation for various parameters.




/data/: Contains QNM excitation factor data (curated from Motohashi's dataset). Please note that the units in our dataset are defined as $M=1$, whereas the dataset uses $2M=1$.




example.ipynb: A demonstration notebook showing that the quasi-normal mode amplitudes of the waveforms are consistent with the excitation factors.
DOI: 10.5281/zenodo.18511200
title: Teukolsky equation solutions for delta-function source

description: Description:

This repository provides numerical data associated with the paper "Resonance in black hole ringdown: Benchmarking quasinormal mode excitation and extraction" (arXiv:2509.06411).

The dataset includes numerical solutions to the Teukolsky equation sourced by a delta-function source. 

Contents:





/waveform/: Contains numerical solutions of the Teukolsky equation for various parameters.




/data/: Contains QNM excitation factor data (curated from Motohashi's dataset). Please note that the units in our dataset are defined as $M=1$, whereas the dataset uses $2M=1$.




example.ipynb: A demonstration notebook showing that the quasi-normal mode amplitudes of the waveforms are consistent with the excitation factors.
DOI: 10.15468/hbuvxd
title: Observation data collected by Marine Biological Museum, Chinese Academy of Sciences (ESC-Part II)

description: Observation data collected by Marine Biological Museum, Chinese Academy of Sciences (MBMCAS) during the project NCOI. (ESC-Part II)
DOI: 10.21227/8m2m-np04
title: " Glass Dataset"

description: ""
DOI: 10.15468/dl.49s837
title: Occurrence Download

description: A dataset containing 1520065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zonotrichia capensis",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1520065 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026489-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677221
title: Dataset: Air Quality Dataset for İzmir (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for İzmir covering 2013-01-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in İzmir, compare İzmir with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_europe domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677220
title: Dataset: Air Quality Dataset for İzmir (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for İzmir covering 2013-01-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in İzmir, compare İzmir with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_europe domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.8vsvee
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platymantis biak"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026520-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677223
title: Dataset: Air Quality Dataset for Huizhou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Huizhou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Huizhou, compare Huizhou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677222
title: Dataset: Air Quality Dataset for Huizhou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Huizhou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Huizhou, compare Huizhou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/dl.dd9y7w
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platymantis cagayanensis"
 ]
}

 The dataset includes 83 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026521-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqwjz3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola villosa"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026523-260208012135463/datasets/export for details.
DOI: 10.15468/dl.rhc3u7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Papua New Guinea",
 "OccurrenceStatus is Present",
 "TaxonKey is Kiunga bleheri"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026522-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677225
title: Dataset: Air Quality Dataset for Buenos Aires (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Buenos Aires covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Buenos Aires, compare Buenos Aires with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677224
title: Dataset: Air Quality Dataset for Buenos Aires (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Buenos Aires covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Buenos Aires, compare Buenos Aires with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677233
title: Dataset: Air Quality Dataset for Surabaya (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Surabaya covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Surabaya, compare Surabaya with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677232
title: Dataset: Air Quality Dataset for Surabaya (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Surabaya covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Surabaya, compare Surabaya with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/i7x5ca
title: iRecord Surveys

description: This dataset contains Natural England survey records transferred from iRecord. It is regularly updated to reflect additional data entry to iRecord and updates to record Verification Status information. Survey data may originate from projects, contracts, donated data, staff survey activities, or other sources, and may include coastal data as well as terrestrial.
Survey records provided by the Natural England Field Unit can be identified by Survey Reference Code = "NEFU".
DOI: 10.15468/dl.5nzjsf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Salsola zaidamica"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026526-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxvgss
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Kiunga bleheri"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026525-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18677238
title: Dataset: Air Quality Dataset for Haikou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Haikou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Haikou, compare Haikou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677239
title: Dataset: Air Quality Dataset for Haikou (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Haikou covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Haikou, compare Haikou with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.15468/sjz32u
title: Arachnida and Myriapoda (Luomus)

description: Arachnida and Myriapoda in the zoological specimen collection of the Finnish Museum of Natural History Luomus (MZH)
DOI: 10.48580/dgwnb.v2
title: The late Kimmeridgian bivalve fauna of Saal an der Donau (Bavaria, southern Germany): the Hippuritida
DOI: 10.5281/zenodo.18677245
title: Dataset: Air Quality Dataset for Taichung (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Taichung covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Taichung, compare Taichung with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.18677244
title: Dataset: Air Quality Dataset for Taichung (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Taichung covering 2022-08-01 to 2026-02-18. It includes key air pollution indicators such as AQI indices and major pollutants, plus city metadata including coordinates, administrative areas, and population. Use this dataset to analyze long-run air quality trends in Taichung, compare Taichung with other cities, and build models that link air quality to urban characteristics. Air quality values are retrieved from the Open-Meteo Air Quality service using the cams_global domain, and city metadata is derived from the GeoNames city list. Nitiraj Kulkarni
DOI: 10.5281/zenodo.17962545
title: Open data to research paper "Laser-modified wire arc cladding" by Sebestova H. et al.

description: Open data to research paper "Laser-modified wire arc cladding" by Sebestova H. et al.

All details of data acquisition are described in the chapter Methods of process and weld inspection. The dataset consists of the following: microstructural images (.png), chemical compositions of individual layers in wt.% measured by EDS (.xlsx), Vickers hardness maps data (.xlsx), and raw thermal images (.xir).
DOI: 10.5281/zenodo.17962546
title: Open data to research paper "Laser-modified wire arc cladding" by Sebestova H. et al.

description: Open data to research paper "Laser-modified wire arc cladding" by Sebestova H. et al.

All details of data acquisition are described in the chapter Methods of process and weld inspection. The dataset consists of the following: microstructural images (.png), chemical compositions of individual layers in wt.% measured by EDS (.xlsx), Vickers hardness maps data (.xlsx), and raw thermal images (.xir).
DOI: 10.15468/dl.w34jjy
title: Occurrence Download

description: A dataset containing 3511503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actitis macularius",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3511503 records from 324 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026502-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc8njr5
title: CCDC 258067: Experimental Crystal Structure Determination

description: Related Article: B.Esquivel, A.A.Sanchez, F.Vergara, W.Matus, S.Hernandez-Ortega, M.T.Ramirez-Apan|2005|Chem.Biodiversity|2|738|doi:10.1002/cbdv.200590051
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc8p86d
title: CCDC 258763: Experimental Crystal Structure Determination

description: Related Article: A.Fihri, J.-C.Hierso, A.Vion, D.H.Nguyen, M.Urrutigoity, P.Kalck, R.Amardeil, P.Meunier|2005|Adv.Synth.Catal.|347|1198|doi:10.1002/adsc.200505050
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7vbft
title: CCDC 233846: Experimental Crystal Structure Determination

description: Related Article: S.Kotha, K.Mandal, K.K.Arora, V.R.Pedireddi|2005|Adv.Synth.Catal.|347|1215|doi:10.1002/adsc.200404373
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.