cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24396/ordar-192
title: Advancing paleoclimate reconstruction of the Last Glacial Maximum in Europe: a multi-method and biome vs. megabiome approach using pollen data

description: Table 1. Summarized table of the pollen taxa, PFTs and (mega)-biomes from biomisation
frameworks, also reported in Supplementary materials 1. Table 2. Reference table of fossil pollen data containing: (i) site locations and archives, (ii) modern annual and
monthly climate data and (iii) selected biomes and megabiomes. derived from ECMWF Reanalysis v5 (ERA5; from
January 1940) for each site. These values are used to deduce climate anomalies during the most climatically
stable period of the LGM (19–23 kyrs). Green and blue lines indicate modified and additional pollen sites
respectively. related to Davis et al. (2024). See Fig 2 for the meanings of the biome and megabiome acronyms. Table 3. Climate results from 3 diﬀerent methods using the biomization (a) and mebiomisation (b) procedures in 43 pollen sites. Errors are 1 sigma.
DOI: 10.15468/dl.mh5hy8
title: Occurrence Download

description: A dataset containing 5836 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-10.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulmus",
 "Year 2024-2024"
 ]
}

 The dataset includes 5836 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018331-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10074032
title: Estimating the cost of predator avoidance in Australian fur seals

description: Raw accelerometer and dive depth data from11 adult female Australian fur seals from Kanowna Island, northern Bass Strait (south-eastern Australia) during their foraging trips to sea.  Data used to calculate a Roll Index to assess vigilance behaviour while at sea (see paper for details).
DOI: 10.5281/zenodo.10074033
title: Estimating the cost of predator avoidance in Australian fur seals

description: Raw accelerometer and dive depth data from11 adult female Australian fur seals from Kanowna Island, northern Bass Strait (south-eastern Australia) during their foraging trips to sea.  Data used to calculate a Roll Index to assess vigilance behaviour while at sea (see paper for details).
DOI: 10.15468/dl.f7tv6v
title: Occurrence Download

description: A dataset containing 40476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor fiber",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 40476 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018330-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15682976
title: Dataset for: Top-down effects of vegetation layers on diversity of black pine plantations

description: The dataset contains 55 plots (10 × 10 m) distributed in the Alps (Italy), which consist of black pine plantations along environmental gradients.
DOI: 10.5281/zenodo.15682977
title: Dataset for: Top-down effects of vegetation layers on diversity of black pine plantations

description: The dataset contains 55 plots (10 × 10 m) distributed in the Alps (Italy), which consist of black pine plantations along environmental gradients.
DOI: 10.15468/dl.dhg2b4
title: Occurrence Download

description: A dataset containing 148554123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year is 2018"
 ]
}

 The dataset includes 148554123 records from 5469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018135-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18025450
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Zoë Goodwin, https://orcid.org/0000-0003-2926-1645. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.18025353
title: A STUDY OF FIGURATIVE LANGUAGE, CONNOTATIVE AND DENOTATIVE MEANINGS IN THE LYRICS OF NIKI ZEFANYA'S "BLUE MOON"

description: This research aims to identify the types of figurative language as well as the denotative andconnotative meanings in the lyrics of Niki's song "Blue Moon," released in June 2024. The song portraysa complex emotional journey about a past relationship. This qualitative descriptive study aims toexplain and provide a detailed description of the types of figurative language and the meanings withinthe song, using Abrams' theory of figurative language and Keraf's theory of meaning. The researcherfound 22 lines in the song that can be categorized into figurative language, including metaphor,hyperbole, oxymoron, simile, paradox, and understatement. Most of the figurative language used in thesong is metaphor, contributing to the beautiful and emotionally charged lyrics of "Blue Moon" by Niki.Keywords: Blue Moon; Denotative; Figurative Languge; Konotative; Song
DOI: 10.5281/zenodo.18025352
title: A STUDY OF FIGURATIVE LANGUAGE, CONNOTATIVE AND DENOTATIVE MEANINGS IN THE LYRICS OF NIKI ZEFANYA'S "BLUE MOON"

description: This research aims to identify the types of figurative language as well as the denotative andconnotative meanings in the lyrics of Niki's song "Blue Moon," released in June 2024. The song portraysa complex emotional journey about a past relationship. This qualitative descriptive study aims toexplain and provide a detailed description of the types of figurative language and the meanings withinthe song, using Abrams' theory of figurative language and Keraf's theory of meaning. The researcherfound 22 lines in the song that can be categorized into figurative language, including metaphor,hyperbole, oxymoron, simile, paradox, and understatement. Most of the figurative language used in thesong is metaphor, contributing to the beautiful and emotionally charged lyrics of "Blue Moon" by Niki.Keywords: Blue Moon; Denotative; Figurative Languge; Konotative; Song
DOI: 10.5281/zenodo.18025421
title: Data Halal Certification Acceleration Model Through Strengthening the Halal Ecosystem at Religious Tourism Destinations in Madura

description: Data got from quesionnare from a research entitled Halal Certification Acceleration Model Through Strengthening the Halal Ecosystem at Religious Tourism Destinations in Madura
DOI: 10.5281/zenodo.18025423
title: Data Halal Certification Acceleration Model Through Strengthening the Halal Ecosystem at Religious Tourism Destinations in Madura

description: Data got from quesionnare from a research entitled Halal Certification Acceleration Model Through Strengthening the Halal Ecosystem at Religious Tourism Destinations in Madura
DOI: 10.5281/zenodo.18025478
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Harvey, http://www.wikidata.org/entity/Q1378128. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1378128
DOI: 10.5281/zenodo.18025430
title: Transformação de Dados Qualitativos Não Estruturados em Indicadores de Desempenho: Um Estudo Aplicado ao Projeto Viveiros
title: IGDV - Índice Geral de Desenvolvimento  de Viveiros (Projeto Viveiros - Rondônia)

description: Este repositório contém os dados de pesquisa, código-fonte Python e materiais suplementares do artigo "Transformação de Dados Qualitativos Não Estruturados em Indicadores de Desempenho: Um Estudo Aplicado ao Projeto Viveiros". Inclui: (1) sistema de extração OCR com IA generativa, (2) sistema de codificação automatizada do IGDV, (3) tabelas de codificação das 6 dimensões avaliativas, e (4) datasets resultantes da análise de 26 municípios de Rondônia.
DOI: 10.5281/zenodo.18025431
title: Transformação de Dados Qualitativos Não Estruturados em Indicadores de Desempenho: Um Estudo Aplicado ao Projeto Viveiros
title: IGDV - Índice Geral de Desenvolvimento  de Viveiros (Projeto Viveiros - Rondônia)

description: Este repositório contém os dados de pesquisa, código-fonte Python e materiais suplementares do artigo "Transformação de Dados Qualitativos Não Estruturados em Indicadores de Desempenho: Um Estudo Aplicado ao Projeto Viveiros". Inclui: (1) sistema de extração OCR com IA generativa, (2) sistema de codificação automatizada do IGDV, (3) tabelas de codificação das 6 dimensões avaliativas, e (4) datasets resultantes da análise de 26 municípios de Rondônia.
DOI: 10.5281/zenodo.17982369
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christopher Edmund Broome, http://www.wikidata.org/entity/Q1932460. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1932460
DOI: 10.5281/zenodo.18025508
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Christopher Edmund Broome, http://www.wikidata.org/entity/Q1932460. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1932460
DOI: 10.5281/zenodo.18025477
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugh Cuming, http://www.wikidata.org/entity/Q718866. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q718866
DOI: 10.5281/zenodo.8137138
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugh Cuming, http://www.wikidata.org/entity/Q718866. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q718866
DOI: 10.13012/b2idb-9754549_v1
title: Diel Activity of Pumas at Kills

description: The diel activity of study animals while feeding at their kills in the Santa Cruz Mountains of California
DOI: 10.7934/p5906
title: On encrusted soil and mud: a preliminary phylogenetic analysis of the mud spider family Paratropididae Simon, 1889 (Araneae: Mygalomorphae) brings to light new species and genera (project)
DOI: 10.7934/x31101
title: On encrusted soil and mud: a preliminary phylogenetic analysis of the mud spider family Paratropididae Simon, 1889 (Araneae: Mygalomorphae) brings to light new species and genera (project) [X31101] First dataset
DOI: 10.7934/x31102
title: On encrusted soil and mud: a preliminary phylogenetic analysis of the mud spider family Paratropididae Simon, 1889 (Araneae: Mygalomorphae) brings to light new species and genera (project) [X31102] second dataset
DOI: 10.60600/yu/duhyax
title: Replication Data for 2025.12.08 (Fall)

description: In Fall 2025, the Yale Youth Poll (YYP) conducted a survey of both young voters (ages 18–34) and the broader population of registered voters. The poll measured approval of President Trump’s job performance, preferences in the Democratic and Republican presidential primary fields, and intended party support in the 2026 midterm elections. It also examined attitudes toward antisemitism and Israel, the One Big Beautiful Bill Act (OBBBA), and social capital. The survey sampled 3,426 registered voters nationwide, including an oversample of 1,706 voters aged 18–34, allowing for direct comparison between young voters and the overall electorate.
DOI: 10.13012/b2idb-7802998_v1
title: Data for Dispersion Engineering of Planar Sub-millimeter Wave Waveguides and Resonators with Low Radiation Loss

description: This dataset contains all raw data corresponding to the figures in the main text and appendices of the paper "Dispersion Engineering of Planar Sub-millimeter Wave Waveguides and Resonators with Low Radiation Loss."
DOI: 10.34740/kaggle/dsv/14261687
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.5nvnbw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Living Specimen)",
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dracontomelon dao",
 "Year 2000-2025"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063427-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsesw8
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Elaboración de la base de datos de la colección de cepas de bacterias fitopatógenas de la Dirección General de Sanidad Vegetal"
 ]
}

 The dataset includes 147 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063428-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18025555
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Richard Spruce, http://www.wikidata.org/entity/Q1349394. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1349394
DOI: 10.13012/b2idb-6582453_v1
title: Spatial accessibility of COVID-19 healthcare resources in Illinois, USA

description: This dataset contains all the code, notebooks, datasets used in the study conducted to measure the spatial accessibility of COVID-19 healthcare resources with a particular focus on Illinois, USA. Specifically, the dataset measures spatial access for people to hospitals and ICU beds in Illinois. The spatial accessibility is measured by the use of an enhanced two-step floating catchment area (E2FCA) method (Luo & Qi, 2009), which is an outcome of interactions between demands (i.e, # of potential patients; people) and supply (i.e., # of beds or physicians). The result is a map of spatial accessibility to hospital beds. It identifies which regions need more healthcare resources, such as the number of ICU beds and ventilators. This notebook serves as a guideline of which areas need more beds in the fight against COVID-19.

## What's Inside

A quick explanation of the components of the zip file

* `COVID-19Acc.ipynb` is a notebook for calculating spatial accessibility and `COVID-19Acc.html` is an export of the notebook as HTML.
* `Data` contains all of the data necessary for calculations:
       * `Chicago_Network.graphml`/`Illinois_Network.graphml` are GraphML files of the OSMNX street networks for Chicago and Illinois respectively.
       * `GridFile/` has hexagonal gridfiles for Chicago and Illinois
       * `HospitalData/` has shapefiles for the hospitals in Chicago and Illinois
       * `IL_zip_covid19/COVIDZip.json` has JSON file which contains COVID cases by zip code from IDPH
       * `PopData/` contains population data for Chicago and Illinois by census tract and zip code.
       * `Result/` is where we write out the results of the spatial accessibility measures
       * `SVI/`contains data about the Social Vulnerability Index (SVI)
* `img/` contains some images and HTML maps of the hospitals (the notebook generates the maps)
* `README.md` is the document you're currently reading!
* `requirements.txt` is a list of Python packages necessary to use the notebook (besides Jupyter/IPython). You can install the packages with `python3 -m pip install -r requirements.txt`
DOI: 10.5281/zenodo.18025636
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Gunnar Vilhelm Täckholm, http://www.wikidata.org/entity/Q6217824. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6217824
DOI: 10.15468/dl.8tpf2r
title: Occurrence Download

description: A dataset containing 1110352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1110352 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063422-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60493/bx6ms-qst75
title: São Luís, Brazil by Celso H. L. Silva-Junior - part of deadtrees.earth

description: This dataset was supported by funding from the National Council for Scientific and Technological Development (CNPq) under the project YBYRÁ-BR: Space-Time Quantification of CO2 Emissions and Removals by Brazilian Forests (CNPq Process 401741/2023-0).
DOI: 10.6084/m9.figshare.30411193
title: Aspect detection dataset of Trustpilot reviews

description: Annotated dataset of English reviews for aspect detection task collected from the online review platform Trustpilot. The reviews concern five shops that exclusively operated online stores at the time of data collection. The stores included in the analysis are: Zalando, Wish, SHEIN, Boozt, and Nelly. The reviews were written between 2013 and 2021. The reviews are annotated based on 14 aspects.
DOI: 10.6084/m9.figshare.30411193.v1
title: Aspect detection dataset of Trustpilot reviews

description: Annotated dataset of English reviews for aspect detection task collected from the online review platform Trustpilot. The reviews concern five shops that exclusively operated online stores at the time of data collection. The stores included in the analysis are: Zalando, Wish, SHEIN, Boozt, and Nelly. The reviews were written between 2013 and 2021. The reviews are annotated based on 14 aspects.
DOI: 10.15468/dl.p5k98r
title: Occurrence Download

description: A dataset containing 16899 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is one of (ESP.2_1, ESP.2.2_1, ESP.2.3_1, ESP.2.1_1)",
 "Geometry POLYGON((-2.07113 41.09753,-1.9758 41.10573,-1.84576 41.05046,-1.69342 40.93173,-1.68315 40.85054,-1.61312 40.79567,-1.61629 40.64257,-1.69906 40.64353,-1.74686 40.61703,-1.76051 40.51808,-1.86824 40.4291,-1.85767 40.35693,-1.78768 40.32018,-1.7888 40.25713,-1.75403 40.22973,-1.68352 40.22895,-1.55617 40.13734,-1.50903 40.14575,-1.50962 40.11873,-1.46331 40.0911,-1.29914 40.08881,-1.19434 40.06019,-1.23043 40.02471,-1.23159 39.97969,-1.19765 39.93412,-1.16304 39.91556,-0.97568 39.92144,-0.97779 39.84941,-0.92074 39.80336,-0.85098 39.79307,-0.75615 39.83632,-0.73071 39.89889,-0.77601 39.94481,-0.69232 39.99723,-0.57432 40.02184,-0.49814 40.18237,-0.3321 40.2237,-0.28154 40.3126,-0.22165 40.33819,-0.21869 40.41018,-0.2415 40.42874,-0.20506 40.45489,-0.20319 40.49988,-0.23559 40.57272,-0.23262 40.64471,-0.1728 40.66127,-0.17051 40.71526,0.06725 40.64062,0.10152 40.66851,0.20749 40.68013,0.34469 40.80046,0.31701 40.8989,0.3623 40.95399,0.36086 40.98998,0.34682 41.0437,0.28555 41.08731,0.44717 41.2171,0.4563 41.28935,0.43138 41.31582,0.4412 41.37008,0.4166 41.38754,0.41445 41.44153,0.46159 41.4606,0.51865 41.53389,0.49087 41.63236,0.41819 41.64876,0.40511 41.67548,0.45169 41.71255,0.49973 41.71361,0.53369 41.76838,0.59346 41.77865,0.67502 41.85238,0.67175 41.94238,0.73042 41.98858,0.78511 42.15175,0.77175 42.18752,0.83945 42.3329,0.78587 42.47597,0.82078 42.52166,0.82889 42.63889,0.67862 42.744,0.32542 42.71828,0.32349 42.76326,0.23723 42.77922,0.06673 42.76597,0.0558 42.73868,0 42.71922,0 42.6922,-0.04573 42.69339,-0.15176 42.77712,-0.15052 42.80411,-0.19979 42.79632,-0.2711 42.84306,-0.35667 42.84507,-0.38264 42.80965,-0.43189 42.80176,-0.51633 42.83064,-0.52999 42.79492,-0.55442 42.79544,-0.66099 42.88772,-0.72217 42.88895,-0.71985 42.95194,-0.74369 42.97042,-0.86716 42.94577,-0.91858 42.87468,-0.9207 42.81169,-0.99607 42.75,-1.05714 42.75105,-1.10763 42.69786,-1.18084 42.69905,-1.24338 42.64599,-1.24414 42.61899,-1.30557 42.6019,-1.35573 42.5486,-1.35738 42.48559,-1.40695 42.45027,-1.42159 42.35141,-1.45866 42.32489,-1.4602 42.26187,-1.48487 42.24419,-1.46413 42.09982,-1.40503 42.04497,-1.44303 41.97344,-1.55182 41.96586,-1.61117 42.01163,-1.69568 42.01262,-1.71929 42.0399,-1.81559 42.05895,-1.87601 42.05956,-1.91272 42.03289,-1.92722 41.88892,-1.89184 41.84355,-1.91729 41.76274,-1.86966 41.73526,-1.87013 41.70824,-1.95513 41.655,-2.05146 41.63782,-2.06451 41.56587,-2.04079 41.54766,-2.04172 41.48462,-2.13742 41.49439,-2.23484 41.35996,-2.21331 41.16165,-2.07113 41.09753),(-0.73855 40.01615,-0.7387 40.01167,-0.73853 40.01678,-0.73855 40.01615))"
 ]
 },
 "EventDate 2025-08-01-2025-12-22"
 ]
}

 The dataset includes 16899 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063426-251120083545085/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.30916808
title: EMERALD TRIAL Table S1. Statistical Analyses

description: Statistical analyses for primary, secondary and exploratory outcomes of EMERALD trial.
DOI: 10.6084/m9.figshare.30916808.v1
title: EMERALD TRIAL Table S1. Statistical Analyses

description: Statistical analyses for primary, secondary and exploratory outcomes of EMERALD trial.
DOI: 10.6084/m9.figshare.29362844
title: Dataset for 'Digital composites with reprogrammable phase architectures'

description: See DATA.md in CODE.zip (https://github.com/ni-x-lab/PM) for a detailed description of the data. <br>
DOI: 10.6084/m9.figshare.29362844.v1
title: Dataset for 'Digital composites with reprogrammable phase architectures'

description: https://github.com/ni-x-lab/PM
DOI: 10.6084/m9.figshare.29362844.v2
title: Dataset for 'Digital composites with reprogrammable phase architectures'

description: See DATA.md in CODE.zip (https://github.com/ni-x-lab/PM) for a detailed description of the data. <br>
DOI: 10.34740/kaggle/dsv/14261703
title: Coffee_Unertainty_Avoidance