cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p6cdxn
title: Occurrence Download

description: A dataset containing 26929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus namaycush",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 26929 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027037-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18680034
title: Dataset: Air Quality Dataset for Belo Horizonte (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Belo Horizonte 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 Belo Horizonte, compare Belo Horizonte 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.18680035
title: Dataset: Air Quality Dataset for Belo Horizonte (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Belo Horizonte 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 Belo Horizonte, compare Belo Horizonte 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: 10.7807/immo:red:hk:v7.2
title: RWI Real Estate Data - Hauskauf
title: RWI Real Estate Data - Houses for Sale

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 zum Verkauf auf der Webseite ImmobilienScout24
description: all houses for sale at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.gcszcb
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.87859 16.51786,131.19328 27.09906,132.15521 33.06301,131.38567 36.04498,132.73236 39.50792,125.51791 38.93076,124.55598 40.27746,120.51589 42.97086,116.86057 43.25944,112.53189 42.87466,98.19918 42.00893,92.52381 37.1031,89.44564 22.578,96.94867 16.13309,106.18317 15.36355,113.87859 16.51786))",
 "OccurrenceStatus is Present",
 "TaxonKey is Catalpa ovata"
 ]
}

 The dataset includes 734 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027041-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn8s8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Psittacara finschi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027012-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18680006
title: THE CONCEPT OF MILK IN THE LINGUISTIC FIELD

description: This article examines the theoretical foundations of the field concept in linguistics and the stages of its development. It highlights the evolution of linguistic field theory in both world and Uzbek linguistics and analyzes the structural, semantic, and functional features of lexical-semantic and functional-semantic fields. The necessity of a comparative analysis of linguistic units expressing the semantics of “milk” in English and Uzbek is substantiated. The structure of the field, including its core, dominant, and periphery, as well as its vertical and horizontal organization, is described from a scientific perspective.
DOI: 10.5281/zenodo.18680007
title: THE CONCEPT OF MILK IN THE LINGUISTIC FIELD

description: This article examines the theoretical foundations of the field concept in linguistics and the stages of its development. It highlights the evolution of linguistic field theory in both world and Uzbek linguistics and analyzes the structural, semantic, and functional features of lexical-semantic and functional-semantic fields. The necessity of a comparative analysis of linguistic units expressing the semantics of “milk” in English and Uzbek is substantiated. The structure of the field, including its core, dominant, and periphery, as well as its vertical and horizontal organization, is described from a scientific perspective.
DOI: 10.15468/dl.56229s
title: Occurrence Download

description: A dataset containing 35113 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario BIO de Plantas Vasculares (BIO), Universidad del Pais Vasco (UPV/EHU)"
 ]
}

 The dataset includes 35113 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027042-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18680045
title: Dataset: Air Quality Dataset for Salvador (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Salvador 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 Salvador, compare Salvador 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.18680044
title: Dataset: Air Quality Dataset for Salvador (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Salvador 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 Salvador, compare Salvador 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.47tgqf
title: Occurrence Download

description: A dataset containing 95177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lycia hirtaria"
 ]
}

 The dataset includes 95177 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026997-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e215541v2-199180
title: Top-performing Girls are more Impactful Peer Role Models than Boys, Teachers Say

description: We examine teachers' perceptions toward top performing students and their role model influence on others in an online survey-based experiment. We randomly expose teachers to profiles of top performing students and inquire whether they consider the profiled top performers to be influential role models. These profiles varied by gender and field of study (STEM or Non-STEM). Our findings show that teachers perceive top-performing girls as more influential peer role models compared to top-performing boys (beta= 0.289; p &lt; 0.001). We also investigate the qualities teachers perceive top performers who are successful role models to have. We show that teachers associate a greater sense of learning autonomy and sense of being an example with top-performing girls compared to top-performing boys. Estimated effects are more pronounced among teachers with children and teachers in urban areas. Administrative data from a representative sample show limited observed differences between top-performing boys' and girls' educational outcomes that could justify the differences in teachers' gender perceptions. These findings carry significant implications for education, as teachers play a crucial role in the cultivation of positive externalities between students.
DOI: 10.5281/zenodo.18680048
title: Dataset: Air Quality Dataset for Abuja (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Abuja 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 Abuja, compare Abuja 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.18680049
title: Dataset: Air Quality Dataset for Abuja (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Abuja 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 Abuja, compare Abuja 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.mgvx8b
title: Occurrence Download

description: A dataset containing 7052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.62223 47.49418,-0.6218 47.4895,-0.61676 47.48249,-0.6055 47.4813,-0.59822 47.479,-0.58649 47.4764,-0.58757 47.47025,-0.58269 47.46691,-0.57508 47.46505,-0.56451 47.47184,-0.56758 47.47414,-0.56605 47.47627,-0.59118 47.49155,-0.59824 47.4938,-0.60695 47.49538,-0.61002 47.49812,-0.61204 47.49741,-0.61078 47.49489,-0.62223 47.49418))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2026"
 ]
}

 The dataset includes 7052 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027044-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qypy5x
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Denmark, Norway)",
 "TaxonKey is Sericomyia bombiformis"
 ]
}

 The dataset includes 453 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027045-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17514138
title: Establishment and maintenance of sampling and monitoring plots of Climcover project

description: This dataset represents a two years of intensive data collection under the CLIMCOVER project. The project investigates sustainable intensification in modern agriculture, specifically focusing on the integration of cover crops within fruit tree cultivation.

The primary objective of this study is to quantify the benefits of ground cover practices regarding soil functionality, climate change mitigation, and overall agroecosystem sustainability. By providing a comprehensive comparative evaluation between traditional bare soil management and vegetative cover, this data supports the transition toward more resilient farming systems.

The data reflects the monitoring of 18 study plots across various Mediterranean regions (ranging from semi-arid to continental climates):

9 Plots with Vegetative Cover: Established and maintained for 5 to 20 years.

9 Plots without Cover (Bare Soil): Used as control sites.

Experimental Design: Each plot contains six subplots (25m length x 5 tree rows width). All sites are managed under fertigation systems to ensure consistency in nutrient and water delivery.

The dataset structure is organized into three primary categories—environmental context, management practices, and sampling specificities—beginning with a comprehensive Site Characterization and Location section. This segment provides a unique identifier through case study codification and descriptions, alongside precise geographic data including city, province, and decimal coordinates (Latitude/Longitude). To facilitate environmental modeling, it incorporates critical climate indicators such as mean annual temperature, precipitation, and Potential Evapotranspiration (PET), while also detailing the physical landscape through soil type classification, elevation (m.a.s.l.), and slope percentage.

The Agronomic Management and Practices category details the operational history of each site, capturing essential data on tree establishment, spacing, and annual crop yields, while specifically documenting cover crop presence, type, and duration (starting year). This is complemented by a thorough record of soil and residue management—including tillage depth and frequency—alongside precise inputs for fertilizer, manure, herbicide, and pesticide application. Finally, the Sampling and Depth Profiles section provides the spatial and temporal resolution necessary for analysis, identifying the specific field area, sample positions, and sampling dates, with a clear vertical breakdown of soil layers through depth codes and defined upper and lower boundaries.
DOI: 10.5281/zenodo.17514139
title: Establishment and maintenance of sampling and monitoring plots of Climcover project

description: This dataset represents a two years of intensive data collection under the CLIMCOVER project. The project investigates sustainable intensification in modern agriculture, specifically focusing on the integration of cover crops within fruit tree cultivation.

The primary objective of this study is to quantify the benefits of ground cover practices regarding soil functionality, climate change mitigation, and overall agroecosystem sustainability. By providing a comprehensive comparative evaluation between traditional bare soil management and vegetative cover, this data supports the transition toward more resilient farming systems.

The data reflects the monitoring of 18 study plots across various Mediterranean regions (ranging from semi-arid to continental climates):

9 Plots with Vegetative Cover: Established and maintained for 5 to 20 years.

9 Plots without Cover (Bare Soil): Used as control sites.

Experimental Design: Each plot contains six subplots (25m length x 5 tree rows width). All sites are managed under fertigation systems to ensure consistency in nutrient and water delivery.

The dataset structure is organized into three primary categories—environmental context, management practices, and sampling specificities—beginning with a comprehensive Site Characterization and Location section. This segment provides a unique identifier through case study codification and descriptions, alongside precise geographic data including city, province, and decimal coordinates (Latitude/Longitude). To facilitate environmental modeling, it incorporates critical climate indicators such as mean annual temperature, precipitation, and Potential Evapotranspiration (PET), while also detailing the physical landscape through soil type classification, elevation (m.a.s.l.), and slope percentage.

The Agronomic Management and Practices category details the operational history of each site, capturing essential data on tree establishment, spacing, and annual crop yields, while specifically documenting cover crop presence, type, and duration (starting year). This is complemented by a thorough record of soil and residue management—including tillage depth and frequency—alongside precise inputs for fertilizer, manure, herbicide, and pesticide application. Finally, the Sampling and Depth Profiles section provides the spatial and temporal resolution necessary for analysis, identifying the specific field area, sample positions, and sampling dates, with a clear vertical breakdown of soil layers through depth codes and defined upper and lower boundaries.
DOI: 10.7807/immo:red:wk:v6.2
title: RWI Real Estate Data - Wohnungskauf
title: RWI Real Estate Data - Apartments for Sale

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 Wohnungen zum Verkauf auf der Webseite ImmobilienScout24
description: all appartments for sale at ImmobilienScout24
description: full sample
DOI: 10.5281/zenodo.18680055
title: Dataset: Air Quality Dataset for Gazipur (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Gazipur 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 Gazipur, compare Gazipur 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.18680056
title: Dataset: Air Quality Dataset for Gazipur (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Gazipur 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 Gazipur, compare Gazipur 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: 10.5519/qd.rm3qumug
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.5281/zenodo.18680065
title: Dataset: Air Quality Dataset for Chicago (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Chicago 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 Chicago, compare Chicago 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.18680066
title: Dataset: Air Quality Dataset for Chicago (2022-08-01 to 2026-02-18)

description: This dataset contains historical air quality time series for Chicago 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 Chicago, compare Chicago 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.18680051
title: HISTORICAL ROOTS, THEORETICAL BASIS AND MODERN DEVELOPMENT TRENDS OF NATIONAL WRESTLING

description: This article scientifically analyzes the stages of historical formation, theoretical and methodological foundations, technical and tactical features, and the role of the Uzbek national sport - national wrestling - in the modern sports system. It also highlights the importance of wrestling in physical and spiritual education, and the prospects for development in the international arena.
DOI: 10.5281/zenodo.18680050
title: HISTORICAL ROOTS, THEORETICAL BASIS AND MODERN DEVELOPMENT TRENDS OF NATIONAL WRESTLING

description: This article scientifically analyzes the stages of historical formation, theoretical and methodological foundations, technical and tactical features, and the role of the Uzbek national sport - national wrestling - in the modern sports system. It also highlights the importance of wrestling in physical and spiritual education, and the prospects for development in the international arena.
DOI: 10.5281/zenodo.18680012
title: PRIMA 2020 Abstract Checklist - Kristanto

description: PRIMA 2020 Abstract Checklist for Kristanto
DOI: 10.5281/zenodo.18680011
title: PRIMA 2020 Abstract Checklist - Kristanto

description: PRIMA 2020 Abstract Checklist for Kristanto