cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17713896
title: Dataset for: Europe's land take: revealing loss of nature and cropland to artificial surfaces

description: Data supporting the paper titled "Europe’s land take: revealing loss of nature and cropland to artificial surfaces".

Link to paper: XXX

The data are split into two zip folders:



"data" - this contains all the data files to reproduce the R code stored here: https://github.com/NINAnor/eu-dw-landtake Follow instructions in the GitHub for how to use

"land_take_vector" - this contains the mapped land take as vector polygons in geojson file format. Each polygon has a attribute named mean which is the average linear trend slope from regression of Dynamic World built probability scores. The average is calcuated across pixels within the polygon. The files are split by a grid over Europe. Each file name has a standard format with land_take_2018_2023_* where the suffix denotes the grid id it corresponds to. The grid ids can be searched in the land_take_vector_lookup.geojson file which defines the grid and associated ids.
DOI: 10.5281/zenodo.17713897
title: Dataset for: Europe's land take: revealing loss of nature and cropland to artificial surfaces

description: Data supporting the paper titled "Europe’s land take: revealing loss of nature and cropland to artificial surfaces".

Link to paper: XXX

The data are split into two zip folders:



"data" - this contains all the data files to reproduce the R code stored here: https://github.com/NINAnor/eu-dw-landtake Follow instructions in the GitHub for how to use

"land_take_vector" - this contains the mapped land take as vector polygons in geojson file format. Each polygon has a attribute named mean which is the average linear trend slope from regression of Dynamic World built probability scores. The average is calcuated across pixels within the polygon. The files are split by a grid over Europe. Each file name has a standard format with land_take_2018_2023_* where the suffix denotes the grid id it corresponds to. The grid ids can be searched in the land_take_vector_lookup.geojson file which defines the grid and associated ids.
DOI: 10.60893/figshare.pte.27454317
title: Supplement

description: The coefficients of cubic polynomial fits done to the data presented in Fig. 1.
DOI: 10.60893/figshare.pte.27454317.v1
title: Supplement

description: The coefficients of cubic polynomial fits done to the data presented in Fig. 1.
DOI: 10.15468/dl.5ygjfc
title: Occurrence Download

description: A dataset containing 1206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesembrinella umbrosa"
 ]
}

 The dataset includes 1206 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008549-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17716533
title: Das et al. 2025 Source files for Westernblots

description: The file contains the original uncropped images of Western blots, which  will  be published in "PKD2-like proteins target Chlamydomonas PKD2 to distinct subciliary regions" by Poulomi Das1, Haixia Zhou2, Nathan Chasen1, Jin Dai2, Alan Brown2, and Karl Lechtreck1#

1Department of Cellular Biology, University of Georgia, Athens, GA 30602 and 2Department of Biological Chemistry & Molecular Pharmacology, Harvard Medical School, Boston, MA 02115
DOI: 10.15468/dl.ddc6kt
title: Occurrence Download

description: A dataset containing 212573247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 2021"
 ]
}

 The dataset includes 212573247 records from 3457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008530-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.butrd7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron subcerinum P.C.Tam"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001173-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcf32n
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron circinnatum Cowan & Kingdon-Ward ex Cowan"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001172-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cm7gb3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron rupivalleculatum P.C.Tam"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001174-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kaksmn
title: Occurrence Download

description: A dataset containing 9752641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9752641 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009819-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67g7y2
title: Occurrence Download

description: A dataset containing 8714 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 Koeleria pyramidata (Lam.) P.Beauv.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 8714 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009835-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9ca5k
title: Occurrence Download

description: A dataset containing 16686 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Pisces Collection at the Zoologische Staatssammlung München"
 ]
}

 The dataset includes 16686 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013716-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d64ktc
title: Occurrence Download

description: A dataset containing 4823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cladonia rangiferina (L.) Weber ex F.H.Wigg.",
 "Country is Norway"
 ]
}

 The dataset includes 4823 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007155-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snhrcj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEH2641"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007154-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwm6gu
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acestrorhynchus abbreviatus (Cope, 1878)"
 ]
}

 The dataset includes 69 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007156-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj2u4a
title: Occurrence Download

description: A dataset containing 838728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Portugal)"
 ]
}

 The dataset includes 838728 records from 1198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007146-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjj54x
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Boletus calopus"
 ]
}

 The dataset includes 358 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004046-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/w3hk-an36
title: "Agri-520"

description: "This dataset finds spray decision with respect to the weather conditions of the regions. "
DOI: 10.15468/dl.qg3vuq
title: Occurrence Download

description: A dataset containing 179858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is India",
 "GadmGid is one of (IND.16.5_1, IND.16.5.1_1)"
 ]
}

 The dataset includes 179858 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004041-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npcau2
title: Occurrence Download

description: A dataset containing 1369833 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 1369833 records from 1143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004040-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu6uys
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Boletus radicans"
 ]
}

 The dataset includes 654 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004048-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e208254v1-191829
title: Data and Code for: Fighting Climate Change: International Attitudes Toward Climate Policies

description: This paper explores global perceptions and understanding of climate change and policies, examining factors that influence support for climate action and the impact of different types of information. We conduct large-scale surveys with 40,000 respondents from 20 countries, providing new international data on attitudes towards climate change and respondents' socioeconomic backgrounds and lifestyles. We identify three key perceptions affecting policy support: perceived effectiveness of policies in reducing emissions, their impact on low-income households, and their effect on respondents' households (self-interest). Educational videos clarifying policy mechanisms increase support for climate policies; those merely highlighting climate change's impacts do not.
description: Adult population of the 20 countries surveyed.
DOI: 10.34740/kaggle/dsv/13838977
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17688884
title: Design Teachers' Originality Loss Anxiety in the Era of AIGC
DOI: 10.5281/zenodo.17688883
title: Design Teachers' Originality Loss Anxiety in the Era of AIGC
DOI: 10.6084/m9.figshare.29602517
title: MigrateLib: a tool for end-to-end Python library migration - artifacts

description: <pre>This repository contains the artifact of the paper - "MigrateLib: a tool for end-to-end Python library migration", submitted to EMSE.<br></pre>
DOI: 10.6084/m9.figshare.29602517.v1
title: MigrateLib: a tool for end-to-end Python library migration - artifacts

description: <pre>This repository contains the artifact of the paper - "MigrateLib: a tool for end-to-end Python library migration", submitted to EMSE.<br></pre>
DOI: 10.5281/zenodo.17688895
title: Aspect Based Sentiment Analysis on Access by KAI Application

description: This dataset contains Indonesian-language user reviews of the Access by KAI mobile application collected from the Google Play Store. The dataset was developed for sentiment analysis research using the IndoBERT model. A total of 6,740 user reviews were collected between October 2024 and October 2025, with 787 manually labeled instances categorized into positive and negative sentiments.

The reviews were obtained through a web scraping process using the “Most Relevant” and “Newest” sorting options to ensure a balanced mix of popular and recent feedback. The preprocessing pipeline includes text cleaning, normalization, and the removal of punctuation, emojis, and non-informative tokens.

This dataset is suitable for Natural Language Processing (NLP) research in Indonesian, particularly for sentiment classification, text mining, and language model fine-tuning tasks.
DOI: 10.5281/zenodo.17620382
title: Aspect Based Sentiment Analysis on Access by KAI Application

description: This dataset contains Indonesian-language user reviews of the Access by KAI mobile application collected from the Google Play Store. The dataset was developed for sentiment analysis research using the IndoBERT model. A total of 6,740 user reviews were collected between October 2024 and October 2025, with 787 manually labeled instances categorized into positive and negative sentiments.

The reviews were obtained through a web scraping process using the “Most Relevant” and “Newest” sorting options to ensure a balanced mix of popular and recent feedback. The preprocessing pipeline includes text cleaning, normalization, and the removal of punctuation, emojis, and non-informative tokens.

This dataset is suitable for Natural Language Processing (NLP) research in Indonesian, particularly for sentiment classification, text mining, and language model fine-tuning tasks.
DOI: 10.15468/dl.nemwby
title: Occurrence Download

description: A dataset containing 337547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "StateProvince is Distrito Federal",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 337547 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004047-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvadkp
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Données de la quête INPN Espèces : Suivi de l'invasion du Frelon asiatique.",
 "Geometry POLYGON((1.3715800193891425 47.339937262339134,5.3715800193891425 47.339937262339134,5.3715800193891425 51.339937262339134,1.3715800193891425 51.339937262339134,1.3715800193891425 47.339937262339134))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 191 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004052-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17688917
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.
DOI: 10.5281/zenodo.17688490
title: COMPARATIVE UX ANALYSIS OF GENERATIVE AI IMAGE USING UTAUT2 AND CONCURRENT THINK ALOUD

description: Abstract - Generative AI image platforms are gaining popularity for digital content generation but user adoption and actual usability is highly varied from system to system. Three platforms Imagen, DALL-E, and Leonardo. Ai are the focus of this study through a mixed-method research design model: the UTAUT2 model, SEM-PLS model and the Concurrent Think Aloud (CTA) method. 90 respondents were sampled for the quantitative phase and 15 professional designers for the qualitative CTA session. Results from SEM-PLS indicate that Habit (HT) is the best predictor of Behavioural Intention on all platforms. For Imagen and Leonardo. Ai, habit was the only important factor that showed dependence on habitual practice rather than perceived usefulness. DALL-E exhibited a more robust acceptance model, that is, it demonstrated significant impacts on Use Behaviour (UB) from Effort Expectancy (EE) and Behavioural Intention (BI). CTA analysis showed significant problems Imagen had difficulty understanding Indonesian language prompts, while DALL-E had slow-generating and unreliable tasks and Leonardo. Ai also showed basic prompts comprehension issues. Linking these two examples tells us that these two data sets is a huge gulf between perceived ease of use (quantitative), and the sort of real-time user experience described as perceived through qualitative eyes (the time-based user experience). This paper provides new insights on the adoption of generative AI and emphasizes the need for providing additional multilingual processing, system stability and increased interface feedback to improve user experience.

Keywords — Concurrent Think Aloud, DALL-E, Generative AI, Imagen, Leonardo. Ai, SEM-PLS, UTAUT2
DOI: 10.5281/zenodo.17688491
title: COMPARATIVE UX ANALYSIS OF GENERATIVE AI IMAGE USING UTAUT2 AND CONCURRENT THINK ALOUD

description: Abstract - Generative AI image platforms are gaining popularity for digital content generation but user adoption and actual usability is highly varied from system to system. Three platforms Imagen, DALL-E, and Leonardo. Ai are the focus of this study through a mixed-method research design model: the UTAUT2 model, SEM-PLS model and the Concurrent Think Aloud (CTA) method. 90 respondents were sampled for the quantitative phase and 15 professional designers for the qualitative CTA session. Results from SEM-PLS indicate that Habit (HT) is the best predictor of Behavioural Intention on all platforms. For Imagen and Leonardo. Ai, habit was the only important factor that showed dependence on habitual practice rather than perceived usefulness. DALL-E exhibited a more robust acceptance model, that is, it demonstrated significant impacts on Use Behaviour (UB) from Effort Expectancy (EE) and Behavioural Intention (BI). CTA analysis showed significant problems Imagen had difficulty understanding Indonesian language prompts, while DALL-E had slow-generating and unreliable tasks and Leonardo. Ai also showed basic prompts comprehension issues. Linking these two examples tells us that these two data sets is a huge gulf between perceived ease of use (quantitative), and the sort of real-time user experience described as perceived through qualitative eyes (the time-based user experience). This paper provides new insights on the adoption of generative AI and emphasizes the need for providing additional multilingual processing, system stability and increased interface feedback to improve user experience.

Keywords — Concurrent Think Aloud, DALL-E, Generative AI, Imagen, Leonardo. Ai, SEM-PLS, UTAUT2
DOI: 10.15468/dl.a55d5p
title: Occurrence Download

description: A dataset containing 1239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylotrupes gideon"
 ]
}

 The dataset includes 1239 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004054-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17688958
title: File upload: 029 0The highlights Dec 25.pdf

description: Uploaded file: 029 0The highlights Dec 25.pdf
DOI: 10.15468/dl.ftdnkz
title: Occurrence Download

description: A dataset containing 632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Month is one of (May, June)",
 "TaxonKey is Falco cherrug",
 "Year 2005-2025"
 ]
}

 The dataset includes 632 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004055-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xjzjy
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera uncia",
 "Year 2010-2025"
 ]
}

 The dataset includes 155 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004059-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13839165
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30688964.v1
title: PRISMA 2020 Checklist for the Systematic Review on Bivalirudin Anticoagulation in HIT-Positive Patients Undergoing Cardiopulmonary Bypass

description: This file contains the completed PRISMA 2020 Checklist and flow diagram corresponding to the systematic review evaluating bivalirudin anticoagulation in heparin-induced thrombocytopenia–positive patients undergoing cardiopulmonary bypass