cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21942/uva.31093894.v1
title: Gebarenstrand_S_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094097
title: Gebarenstrand_S_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094097.v1
title: Gebarenstrand_S_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094106
title: Gebarenstrand_S_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094106.v1
title: Gebarenstrand_S_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113698
title: Gebarenstrand_S_part4

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113698.v1
title: Gebarenstrand_S_part4

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094147
title: Gebarenstrand_S_part5

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094147.v1
title: Gebarenstrand_S_part5

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31354703
title: Gebarenstrand_S_part6

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31354703.v1
title: Gebarenstrand_S_part6

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094227
title: Gebarenstrand_T_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094227.v1
title: Gebarenstrand_T_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094245
title: Gebarenstrand_T_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094245.v1
title: Gebarenstrand_T_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.18150/hx0m8e
title: Predictors of environmental efficiency in crops farms: interactions and non-linearities within the nexus of social, economic and natural factors

description: Data include results of the Farm Accountancy Data Network (FADN) at farm level from 2022, enriched with unique socio-economic data collected by the Institute of Agricultural and Food Economics - National Research Institute, which are not available in the public FADN database. Dataset focuses on farms specialising in crop production. This includes farms where at least 2/3 of the Standard Output is derived from the production of field crops. The sample consists of data for 2107 small and medium-sized agricultural holdings whose Standard Output (SO) is between 5 000 and 50 000 euro. Farms which reared animals in addition to crops were excluded.
DOI: 10.21942/uva.31094379
title: Gebarenstrand_V_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094379.v1
title: Gebarenstrand_V_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113836
title: Gebarenstrand_T_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113836.v1
title: Gebarenstrand_T_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31114117
title: Gebarenstrand_U_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31114117.v1
title: Gebarenstrand_U_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094414
title: Gebarenstrand_V_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094414.v1
title: Gebarenstrand_V_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094572
title: Gebarenstrand_V_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094572.v1
title: Gebarenstrand_V_part3

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31114327
title: Gebarenstrand_V_part4

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094760
title: Gebarenstrand_W_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094760.v1
title: Gebarenstrand_W_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31114327.v1
title: Gebarenstrand_V_part4

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094990
title: Gebarenstrand_W_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094990.v1
title: Gebarenstrand_W_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.5281/zenodo.18679918
title: Dataset: Air Quality Dataset for Kyiv (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Kyiv 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 Kyiv, compare Kyiv 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.18679919
title: Dataset: Air Quality Dataset for Kyiv (2013-01-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Kyiv 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 Kyiv, compare Kyiv 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: 10.7807/immo:red:hm:v6.2
title: RWI Real Estate Data - Hausmiete
title: RWI Real Estate Data - Houses for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zur Miete auf der Webseite ImmobilienScout24
description: all houses for rent at ImmobilienScout24
description: full sample
DOI: 10.5281/zenodo.18679931
title: Dataset: Air Quality Dataset for Toronto (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Toronto 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 Toronto, compare Toronto 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.18679930
title: Dataset: Air Quality Dataset for Toronto (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Toronto 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 Toronto, compare Toronto 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: 10.18419/darus-3794
title: Data for "Revealing the Monomer Gradient of Polyether Copolymers Prepared Using N-Heterocyclic Olefins: Metal-Free Anionic versus Zwitterionic Lewis Pair Polymerization"

description: This data set contains representative catalyst precursor 1H NMR raw data related to the publication cited above (literature-known iodide salts of NHO 1 and NHO 2, respectively). Liberation of the active catalysts from such precursors was done by the cooperation partners as described in the paper.
DOI: 10.5281/zenodo.18679898
title: The SEM study of contact printed nanowires_3

description: This is the SEM study of the contact printed nanowires, described in the paper, https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/adfm.202412299

https://doi.org/10.1002/adfm.202412299Digital Object Identifier (DOI)
DOI: 10.5281/zenodo.18679899
title: The SEM study of contact printed nanowires_3

description: This is the SEM study of the contact printed nanowires, described in the paper, https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/adfm.202412299

https://doi.org/10.1002/adfm.202412299Digital Object Identifier (DOI)
DOI: 10.21942/uva.31113839.v1
title: Gebarenstrand_É_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094993
title: Gebarenstrand_Z_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31094993.v1
title: Gebarenstrand_Z_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113839
title: Gebarenstrand_É_part1

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113920
title: Gebarenstrand_Z_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.21942/uva.31113920.v1
title: Gebarenstrand_Z_part2

description: Sign language video recordings from the Gebarenstrand / SignBeach project. Contains Dutch Sign Language (NGT) videos recorded from left (L), middle (M), and right (R) camera angles. Each video is named using the pattern: word_signer_orientation_camera_video.mp4.
DOI: 10.5281/zenodo.18679936
title: Dataset: Air Quality Dataset for Quito (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Quito 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 Quito, compare Quito 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.18679935
title: Dataset: Air Quality Dataset for Quito (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Quito 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 Quito, compare Quito 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.18679906
title: COMPARATIVE STUDY OF PHRASEOLOGICAL UNITS WITH "SOMATIC" COMPONENTS IN ENGLISH AND UZBEK LANGUAGES

description: This article presents a comprehensive comparative study of phraseological units with somatic components in English and Uzbek languages. Somatic phraseological units idioms containing body-part lexemes, represent one of the most productive and culturally marked layers of phraseology. The article aims to identify structural, semantic, cognitive, and linguacultural similarities and differences between English and Uzbek somatic phraseological units. The analysis reveals that both languages demonstrate universal anthropocentric tendencies in phraseological nomination, however, they differ significantly in metaphorical models, cultural symbolism, and pragmatic usage. The findings contribute to phraseology, contrastive linguistics, cognitive linguistics, and translation studies.
DOI: 10.5281/zenodo.18679905
title: COMPARATIVE STUDY OF PHRASEOLOGICAL UNITS WITH "SOMATIC" COMPONENTS IN ENGLISH AND UZBEK LANGUAGES

description: This article presents a comprehensive comparative study of phraseological units with somatic components in English and Uzbek languages. Somatic phraseological units idioms containing body-part lexemes, represent one of the most productive and culturally marked layers of phraseology. The article aims to identify structural, semantic, cognitive, and linguacultural similarities and differences between English and Uzbek somatic phraseological units. The analysis reveals that both languages demonstrate universal anthropocentric tendencies in phraseological nomination, however, they differ significantly in metaphorical models, cultural symbolism, and pragmatic usage. The findings contribute to phraseology, contrastive linguistics, cognitive linguistics, and translation studies.
DOI: 10.13140/rg.2.2.31311.34721
title: Demo Provenance Checklist A. Demo Identity (Fill before approval)
DOI: 10.15468/dl.kvtyez
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.463430570401111 53.181826535193125,-4.450330922643 53.181826535193125,-4.450330922643 53.194926182951235,-4.463430570401111 53.194926182951235,-4.463430570401111 53.181826535193125))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Petalophyllum ralfsii",
 "Year 1828-2025"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027024-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18679948
title: Dataset: Air Quality Dataset for Brisbane (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Brisbane 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 Brisbane, compare Brisbane 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.18679949
title: Dataset: Air Quality Dataset for Brisbane (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Brisbane 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 Brisbane, compare Brisbane 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