cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8jstnf
title: Occurrence Download

description: A dataset containing 1915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea pes-tigridis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1915 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001567-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78dbgq
title: Occurrence Download

description: A dataset containing 3795 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)"
 ]
 }
 },
 "TaxonKey is Vallisneria americana"
 ]
}

 The dataset includes 3795 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18527731
title: ACTIVE LEARNING STRATEGIES IN TECHNICAL HIGHER EDUCATION: THE CASE OF TRANSPORT SYSTEMS

description: This study explores the integration of pedagogical innovations into the teaching and learning process of urban transport systems and their operation. With the growing demand for skilled professionals in the field of transportation engineering and management, the need for effective teaching methods that combine theoretical knowledge with practical skills is increasingly significant. The research aims to analyze the effectiveness of active learning strategies, digital simulations, and interdisciplinary approaches in transport education. A mixed-method research design was used, combining literature review, classroom observation, and student surveys. The results show that the use of problem-based learning, digital modeling tools, and case studies enhances students’ professional competence, critical thinking, and readiness for real-world challenges. The findings provide insights into how pedagogy can be adapted to meet the specific needs of technical disciplines and contribute to the modernization of higher education curricula.
DOI: 10.5281/zenodo.18527732
title: ACTIVE LEARNING STRATEGIES IN TECHNICAL HIGHER EDUCATION: THE CASE OF TRANSPORT SYSTEMS

description: This study explores the integration of pedagogical innovations into the teaching and learning process of urban transport systems and their operation. With the growing demand for skilled professionals in the field of transportation engineering and management, the need for effective teaching methods that combine theoretical knowledge with practical skills is increasingly significant. The research aims to analyze the effectiveness of active learning strategies, digital simulations, and interdisciplinary approaches in transport education. A mixed-method research design was used, combining literature review, classroom observation, and student surveys. The results show that the use of problem-based learning, digital modeling tools, and case studies enhances students’ professional competence, critical thinking, and readiness for real-world challenges. The findings provide insights into how pedagogy can be adapted to meet the specific needs of technical disciplines and contribute to the modernization of higher education curricula.
DOI: 10.5281/zenodo.18527742
title: Bodenfeuchtedaten Bielefeld - Sensorexport

description: Daten von Bodenfeuchte-Sensoren aus der Region des Teutoburger Waldes in Ostwestfalen-Lippe (Deutschland), die im Rahmen eines ehrenamtlichen Citizen Science Projektes von Code for Bielefeld e.V. gesammelt werden.  Visualisierung auf bodenfeuchte.org

Spaltenbeschreibung

Geräte-ID (device)

Diese Spalte enthält eine eindeutige Kennung für jedes Gerät. Die Geräte-ID ist ein alphanumerischer Code, der verwendet wird, um die Daten eines bestimmten Sensors eindeutig zu bestimmen

Gerätemarke (device_brand)

Marke des Bodenfeuchtesensors (z.B. dragino)

Gerätemodell (device_model)

Modell des Bodenfeuchtesensors (z.B. lse01)

Breitengrad (latitude)

Der Breitengrad des Standorts, an dem das Gerät installiert ist.

Längengrad (longitude)

Der Längengrad des Standorts, an dem das Gerät installiert ist.

Bodenfeuchtigkeit (soil_moisture)

Diese Spalte enthält den aktuellen Wert der Bodenfeuchtigkeit, gemessen in Prozent. Sie gibt an, wie viel Wasser im Boden enthalten ist, wobei höhere Werte auf eine höhere Bodenfeuchtigkeit hinweisen.

Bodenleitfähigkeit (soil_conductivity)

Dieser Wert gibt die elektrische Leitfähigkeit des Bodens in Mikrosiemens pro Zentimeter (µS/cm) an, was ein Indikator für die Menge an gelösten Salzen oder Nährstoffen im Boden ist.

Bodentemperatur (soil_temperature)

Die aktuelle Temperatur des Bodens in Grad Celsius gemessen.

Batteriestatus (battery)

Diese Spalte gibt die aktuelle Spannung der Batterie des Geräts in Volt an. Eine ausreichende Batteriespannung ist notwendig, um sicherzustellen, dass das Gerät weiterhin ordnungsgemäß funktioniert. 

Letztes Update (last_update)

Das Datum und die Uhrzeit des letzten Datenupdates für den jeweiligen Sensor. Der Zeitstempel folgt dem ISO 8601-Format und enthält Informationen über das Datum, die Uhrzeit und die Zeitzone.
DOI: 10.15468/dl.66rjgg
title: Occurrence Download

description: A dataset containing 201 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)"
 ]
 }
 },
 "TaxonKey is Vanilla chamissonis"
 ]
}

 The dataset includes 201 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001570-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mzfjt
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.08695 14.56862,-93.6184 14.56862,-93.6184 23.9878,-106.08695 23.9878,-106.08695 14.56862))",
 "TaxonKey is Acourtia cordata",
 "Year 1985-2026"
 ]
}

 The dataset includes 68 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001569-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8gjbn
title: Occurrence Download

description: A dataset containing 857 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)"
 ]
 }
 },
 "TaxonKey is Welwitschia mirabilis"
 ]
}

 The dataset includes 857 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001571-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31289817
title: Online-administered hearing handicap inventory: evaluation of reliability and item-order effects

description: To evaluate an online version of the 25-item Hearing Handicap Inventory (HHI) in terms of reliability and potential effects of item order. Participants completed a Danish translation of the HHI online. Two different item orders were compared: (1) the conventional order and (2) an experimental order where items were presented in blocks starting with the 10-item Hearing Handicap Inventory Screener (HHI-S). Internal consistency and test-retest reliability were also examined. Bland-Altman limits of agreement were calculated for different degrees of hearing-related well-being (“auditory wellness”). Participants aged 50 and above with a wide range of hearing abilities (<i>N</i> = 194). No effects of item order were found. The HHI and HHI-S both showed excellent internal consistency and good test-retest reliability. Bland-Altman limits of agreement broadened as auditory wellness worsened. HHI scores appear unaffected by the item order. The HHI-S can be extracted from the full HHI without changing the results. The test-retest reliability of the HHI varies with auditory wellness.
DOI: 10.6084/m9.figshare.31289817.v1
title: Online-administered hearing handicap inventory: evaluation of reliability and item-order effects

description: To evaluate an online version of the 25-item Hearing Handicap Inventory (HHI) in terms of reliability and potential effects of item order. Participants completed a Danish translation of the HHI online. Two different item orders were compared: (1) the conventional order and (2) an experimental order where items were presented in blocks starting with the 10-item Hearing Handicap Inventory Screener (HHI-S). Internal consistency and test-retest reliability were also examined. Bland-Altman limits of agreement were calculated for different degrees of hearing-related well-being (“auditory wellness”). Participants aged 50 and above with a wide range of hearing abilities (<i>N</i> = 194). No effects of item order were found. The HHI and HHI-S both showed excellent internal consistency and good test-retest reliability. Bland-Altman limits of agreement broadened as auditory wellness worsened. HHI scores appear unaffected by the item order. The HHI-S can be extracted from the full HHI without changing the results. The test-retest reliability of the HHI varies with auditory wellness.
DOI: 10.15468/dl.p7kn75
title: Occurrence Download

description: A dataset containing 30859 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 28.773895969281842
 AND decimallatitude &lt;= 33.06103686093294
 AND decimallongitude &gt;= 75.7820124333441
 AND decimallongitude &lt;= 83.49174815051178
 AND GBIF_Within('POLYGON ((83.491748 28.773896, 83.491748 33.061037, 75.782012 33.061037, 75.782012 28.773896, 83.491748 28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 30859 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001566-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18527755
title: LINGUISTIC AND COGNITIVE FEATURES OF POLYSEMOUS WORDS IN THE DEVELOPMENT OF LEARNERS' LEXICAL COMPETENCE

description: This article explores the linguistic and cognitive features of polysemous words and examines their role in the development of learners’ lexical competence. Polysemy, as a systematic semantic phenomenon, involves multiple related meanings associated with a single lexical form, which significantly influences vocabulary depth and language use. Drawing on linguistic and cognitive-linguistic frameworks, the study analyzes the semantic organization and contextual realization of selected polysemous words in authentic English discourse. The findings suggest that polysemous meanings are cognitively structured around core senses and extended through metaphorical and contextual mechanisms, enabling learners to interpret meaning variation more effectively. The study highlights that mastery of polysemous words enhances learners’ comprehension and productive skills by promoting flexible and context-sensitive vocabulary use. The article emphasizes the importance of cognitively informed and context-based approaches to teaching polysemous vocabulary in language education.
DOI: 10.5281/zenodo.18527756
title: LINGUISTIC AND COGNITIVE FEATURES OF POLYSEMOUS WORDS IN THE DEVELOPMENT OF LEARNERS' LEXICAL COMPETENCE

description: This article explores the linguistic and cognitive features of polysemous words and examines their role in the development of learners’ lexical competence. Polysemy, as a systematic semantic phenomenon, involves multiple related meanings associated with a single lexical form, which significantly influences vocabulary depth and language use. Drawing on linguistic and cognitive-linguistic frameworks, the study analyzes the semantic organization and contextual realization of selected polysemous words in authentic English discourse. The findings suggest that polysemous meanings are cognitively structured around core senses and extended through metaphorical and contextual mechanisms, enabling learners to interpret meaning variation more effectively. The study highlights that mastery of polysemous words enhances learners’ comprehension and productive skills by promoting flexible and context-sensitive vocabulary use. The article emphasizes the importance of cognitively informed and context-based approaches to teaching polysemous vocabulary in language education.
DOI: 10.15468/dl.p37mm8
title: Occurrence Download

description: A dataset containing 113 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)"
 ]
 }
 },
 "TaxonKey is Wittrockia superba"
 ]
}

 The dataset includes 113 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001573-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16031426
title: NICE-Food intermediate data processing data sources.

description: This repository entry contains the intermediate data that are necessary to run the complete data workflow presented in the nicekg_processing code on GitHub. In order to make the code functional, this zip file needs to be unpacked and merged with the folders in the github repository. The locations of the data in the zip are identical with the target folder structure presented in the GitHub repository. 

More instructions can be found in the github repository README.md.  

 
description: V01 and V02 are the same version. In order for the code to work, you'll need to copy foodon_embeddings.json from /nicekg_processing/create_embedding_tool/data/out/foodon_embeddings.json to nicekg_processing/data/embedding.

V3 Contains an updated version of the LEDA processing updating corrupted IRIs

The zip file contains the intermediate data for processing food tabular data to a graph, including:







The original data

Ada-text-002 embeddings of NEVO food items and the FoodOn FoodProduct branch

Mappings to FoodOn, CDNO, ChEBI, and NCIT

Restructured data for easier processing to RDF

RDF files of the targeted datasets
DOI: 10.5281/zenodo.18450754
title: NICE-Food intermediate data processing data sources.

description: This repository entry contains the intermediate data that are necessary to run the complete data workflow presented in the nicekg_processing code on GitHub. In order to make the code functional, this zip file needs to be unpacked and merged with the folders in the github repository. The locations of the data in the zip are identical with the target folder structure presented in the GitHub repository. 

More instructions can be found in the github repository README.md.  

 
description: V01 and V02 are the same version. In order for the code to work, you'll need to copy foodon_embeddings.json from /nicekg_processing/create_embedding_tool/data/out/foodon_embeddings.json to nicekg_processing/data/embedding.

V3 Contains an updated version of the LEDA processing updating corrupted IRIs

The zip file contains the intermediate data for processing food tabular data to a graph, including:







The original data

Ada-text-002 embeddings of NEVO food items and the FoodOn FoodProduct branch

Mappings to FoodOn, CDNO, ChEBI, and NCIT

Restructured data for easier processing to RDF

RDF files of the targeted datasets
DOI: 10.15468/dl.636ngr
title: Occurrence Download

description: A dataset containing 19422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus"
 ]
}

 The dataset includes 19422 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001574-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ff5qz
title: Occurrence Download

description: A dataset containing 156 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)"
 ]
 }
 },
 "TaxonKey is Xerosicyos danguyi"
 ]
}

 The dataset includes 156 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001575-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18523835
title: Tree Diversity_PE_ Dataset
DOI: 10.5281/zenodo.18523836
title: Tree Diversity_PE_ Dataset
DOI: 10.5281/zenodo.18527364
title: SuperDARN data in netCDF format (2020-Apr)

description: 2020-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7309504
title: SuperDARN data in netCDF format (2020-Apr)

description: 2020-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.csry2g
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acourtia coulteri",
 "Year 1991-2026"
 ]
}

 The dataset includes 32 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001576-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31289821
title: Different Kinds of Citizens

description: These are the dataset and the do-file of the paper "Different Kinds of Citizens."
DOI: 10.6084/m9.figshare.31289821.v1
title: Different Kinds of Citizens

description: These are the dataset and the do-file of the paper "Different Kinds of Citizens."
DOI: 10.34740/kaggle/dsv/14776395
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dd.6px9q7
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.da3rqd
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nigripes"
 ]
}

 The dataset includes 1925 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001577-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bahjdr
title: Occurrence Download

description: A dataset containing 328 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 28.773895969281842
 AND decimallatitude &lt;= 33.06103686093294
 AND decimallongitude &gt;= 81.1950133214401
 AND decimallongitude &lt;= 89.05786469387924
 AND GBIF_Within('POLYGON ((89.057865 28.773896, 89.057865 33.061037, 81.195013 33.061037, 81.195013 28.773896, 89.057865 28.773896))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 328 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001572-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.