cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pumeb3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is one of (true)",
 "Geometry POLYGON ((-75.13386 5.510521, -75.13395 5.510518, -75.13403 5.510507, -75.13411 5.510489, -75.1342 5.510465, -75.13428 5.510433, -75.13435 5.510395, -75.13443 5.510351, -75.13449 5.510301, -75.13456 5.510245, -75.13462 5.510184, -75.13467 5.510118, -75.13472 5.510048, -75.13476 5.509974, -75.1348 5.509896, -75.13483 5.509816, -75.13485 5.509734, -75.13487 5.50965, -75.13488 5.509565, -75.13488 5.50948, -75.13487 5.509394, -75.13486 5.50931, -75.13484 5.509227, -75.13482 5.509145, -75.13478 5.509067, -75.13474 5.508991, -75.1347 5.508919, -75.13465 5.508851, -75.13459 5.508787, -75.13453 5.508729, -75.13446 5.508676, -75.13439 5.508628, -75.13431 5.508587, -75.13424 5.508552, -75.13416 5.508524, -75.13407 5.508503, -75.13399 5.508489, -75.1339 5.508482, -75.13382 5.508482, -75.13373 5.508489, -75.13365 5.508503, -75.13357 5.508524, -75.13349 5.508552, -75.13341 5.508587, -75.13333 5.508628, -75.13326 5.508676, -75.1332 5.508729, -75.13313 5.508787, -75.13308 5.508851, -75.13303 5.508919, -75.13298 5.508991, -75.13294 5.509067, -75.13291 5.509145, -75.13288 5.509227, -75.13286 5.50931, -75.13285 5.509394, -75.13284 5.50948, -75.13285 5.509565, -75.13285 5.50965, -75.13287 5.509734, -75.13289 5.509816, -75.13292 5.509896, -75.13296 5.509974, -75.133 5.510048, -75.13305 5.510118, -75.1331 5.510184, -75.13316 5.510245, -75.13323 5.510301, -75.1333 5.510351, -75.13337 5.510395, -75.13345 5.510433, -75.13353 5.510465, -75.13361 5.510489, -75.13369 5.510507, -75.13378 5.510518, -75.13386 5.510521))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092577-230530130749713/datasets/export for details.
DOI: 10.34740/kaggle/dsv/7062095
title: Australian Vehicle Prices
DOI: 10.15468/dl.dh97ke
title: Occurrence Download

description: A dataset containing 2274746464 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 2274746464 records from 53575 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134039-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14687065
title: Database of 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'

description: Simulation data for the manuscript 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'.
DOI: 10.5281/zenodo.14687066
title: Database of 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'

description: Simulation data for the manuscript 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'.
DOI: 10.5281/zenodo.15476356
title: Database of 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'

description: Simulation data for the manuscript 'Nonlinear Proton Dynamics in the Formation of Rising-Tone EMIC Wave Subpackets'.
DOI: 10.6084/m9.figshare.28920872
title: DCLEAPIL v1.0 British local election results dataset 2006-2024

description: The DCLEAPIL results dataset covers British local government (principal authority) election results from 2006 to 2024, including candidate names, parties, party type, votes, vote share, Effective Number of Parties, and ward / council identifiers. The results dataset also includes partial data on electorate size, turnout, and by-elections. The collection includes a detailed coding for political parties, information on variables, and a READ ME file with further information. The DCLEAPIL dataset is public domain under a sharealike and public attribution license: https://creativecommons.org/licenses/by-sa/4.0/The dataset draws primarily from Andrew Teale’s LEAP dataset of local election results between 2006 and 2021, and that of the Democracy Club from 2019 to 2024. These two datasets were merged and checked by Jason Leman, kindly assisted by Andrew Teale of LEAP, Peter Keeling and others at Democracy Club. The Democracy Club dataset does not include votes cast for candidates in Scottish elections. Gerry Mulvaney’s data on votes cast for Scottish elections for 2022, hosted by Indy Live and itself drawing on Democracy Club candidate data, was therefore added to the dataset to increase coverage for Scottish elections. Local Government Boundary Commission data on electorate size was added to increase the coverage of turnout statistics.Main data sources for the DCLEAPIL dataset.Andrew Teale's Local Elections Archive Project<br>https://www.andrewteale.me.uk/leap/downloads<br>Democracy Club<br>https://candidates.democracyclub.org.uk/data/<br>Gerry Mulvenna - IndyLive<br>https://election.indylive.radio/download/<br>Local Government Boundary Commission<br>https://www.lgbce.org.uk/electoral-data<br>For more information on the dataset construction, checking processes, and calculations, please see the READ ME file.
DOI: 10.6084/m9.figshare.28928114
title: Data Analysis zip

description: The zipped folder contains codes used for data analysis and the data used for the codes.
DOI: 10.6084/m9.figshare.28928114.v1
title: Data Analysis zip

description: The zipped folder contains codes used for data analysis and the data used for the codes.
DOI: 10.6084/m9.figshare.28929569
title: Kartikaningrum et al. 2025_Supplementary information of "Identification of heat-tolerant <i>Impatiens</i> genotypes: morphological responses and stress tolerance indices under elevated temperatures"

description: This study aimed to identify <i>Impatiens</i> (balsam plant) genotypes that exhibit superior heat tolerance traits and explore how temperature affects plant morphology. The research compared ten <i>Impatiens</i> genotypes under heat stress and normal conditions. Measurements were taken during the vegetative and generative stages and at the end of the observation period. Results revealed significant genotype-specific responses to temperature with genotype and temperature interactions. Some genotypes exhibited superior plant height, leaf number, and flower production traits. However, under heat stress, many traits generally declined, including plant height and flower number, while some traits, like leaf length and width, increased. We found the darker colors in leaves, stems, and flowers under heat stress compared to control conditions. We also calculated heat tolerance indices. Thecorrelation and biplot analyses found that heat tolerance (<i>TOL</i>) often indicates susceptibility, while the stress tolerance index (<i>STI</i>), mean productivity (<i>MP</i>), and the geometric mean of productivity (<i>GMP</i>) reflect stress tolerance and yield performance under stress. <i>STI, MP,</i><i> </i>and <i>GMP</i> are the most effective tools for selecting heat stress-tolerant for our <i>Impatiens</i><i> </i>genotypes. The identified specific genotypes with high <i>STI</i>, <i>MP</i>, and <i>GMP</i> and low <i>TOL,</i> such as 22.04.16 and 22.04.08, exhibit resilience and robust performance under heat stress.
DOI: 10.6084/m9.figshare.28928108
title: Link to LiverFibrosis

description: The link leads to Dropbox folder "LiverFibrosis". The Dropbox folder contains two folders: original images and Registration.original images folder contains all the images from multiplexed imaging.Registration folder contains ROIs cropped out of the original images and registered images.
DOI: 10.21227/y1hj-rz36
title: "The prediction and regularization of 290 semantically segmented building facades"

description: "This dataset contains 290 processed samples of building facades. Each sample consists of the original image, annotated label, classifier's prediction of semantic segmentation, and the graphics of facade elements regularized of three graphic regularization methods. 213 of the samples were originally from dataset Irregular Facades (IRFS) and 77 from dataset CMP Facade Database. The complete versions of the IRFs and CMP are openly available in Kaggle at https:\/\/www.kaggle.com\/datasets\/liushuyuu\/irregular-facades-irfs and https:\/\/www.kaggle.com\/datasets\/kokeyehya\/cmp-facade-db-base, respectively."
DOI: 10.5281/zenodo.15340562
title: Spectral Adaptive Dropout
DOI: 10.5281/zenodo.15340563
title: Spectral Adaptive Dropout
DOI: 10.5281/zenodo.15340487
title: China's hydrogen industry carbon emissions and carbon-neutrality pathways
DOI: 10.5281/zenodo.15340486
title: China's hydrogen industry carbon emissions and carbon-neutrality pathways
DOI: 10.5281/zenodo.15340548
title: China's hydrogen industry carbon emissions and carbon-neutrality pathways
DOI: 10.5281/zenodo.15263712
title: LIGHTS. The extended point spread functions of the Large Binocular Cameras at the LBT

description: This dataset includes extended and original PSF (Point Spread Function) models in the g and r bands, which are explained in the paper "The extended point spread functions of the Large Binocular Cameras at the LBT".

These PSFs were used for subtracting and analyzing low surface brightness features in LBT images of galaxies.

Included files:

Extended-PSF-g-band.fits

Extended-PSF-r-band.fits

Original-PSF-g-band.fits

Original-PSF-r-band.fits

PDF version of the paper for reference.
DOI: 10.5281/zenodo.15263713
title: LIGHTS. The extended point spread functions of the Large Binocular Cameras at the LBT

description: This dataset includes extended and original PSF (Point Spread Function) models in the g and r bands, which are explained in the paper "The extended point spread functions of the Large Binocular Cameras at the LBT".

These PSFs were used for subtracting and analyzing low surface brightness features in LBT images of galaxies.

Included files:

Extended-PSF-g-band.fits

Extended-PSF-r-band.fits

Original-PSF-g-band.fits

Original-PSF-r-band.fits

PDF version of the paper for reference.
DOI: 10.6084/m9.figshare.28929626
title: test.xlsx

description: test
DOI: 10.5281/zenodo.14224454
title: Unlocking born-digital literary heritage: The case of the Herman de Coninck floppy disks

description: Datasets produced in the context of the research scenario ‘Unlocking born-digital literary heritage: the case of the Herman de Coninck floppy disks’ in CLARIAH-VL. The aim of the research scenario was to partially ‘unlock’ the digital files stored on the floppy disks in Herman de Coninck's archive in the collection of the Letterenhuis (Antwerp) by providing insights into their contents, grouping related files and linking the files with related files in the paper archive.

Two datasets are provided: a list of all the persons and places mentioned in the files stored on the floppy disks (excluding De Coninck’s personal communication) and a list of documents in De Coninck's archive related to the “De vliegende keeper”-columns. The list of persons and places alphabetically lists all the persons and places identified in the files using NER, their frequencies and the file in which this person or place appears (note that the list may still contain errors and duplicates). The list with "De vliegende keeper"-columns lists the title of the column and indicates the file on the floppy disks that holds a version of this column, whether a version of this column is can be found as printout or as newspaper clipping in the paper archive (C33941/323, C33941/324, C33941/325) and on which page of the collection of essays De vliegende keeper (1995) this essay appears.

The blog posts of this research scenario on CLARIAH-VL's website provide more information on the creation of the datasets.

After approval, the files from the floppy disks (C339941/74) can be accessed at the Letterenhuis for further research.
DOI: 10.5281/zenodo.14224455
title: Unlocking born-digital literary heritage: The case of the Herman de Coninck floppy disks

description: Datasets produced in the context of the research scenario ‘Unlocking born-digital literary heritage: the case of the Herman de Coninck floppy disks’ in CLARIAH-VL. The aim of the research scenario was to partially ‘unlock’ the digital files stored on the floppy disks in Herman de Coninck's archive in the collection of the Letterenhuis (Antwerp) by providing insights into their contents, grouping related files and linking the files with related files in the paper archive.

Two datasets are provided: a list of all the persons and places mentioned in the files stored on the floppy disks (excluding De Coninck’s personal communication) and a list of documents in De Coninck's archive related to the “De vliegende keeper”-columns. The list of persons and places alphabetically lists all the persons and places identified in the files using NER, their frequencies and the file in which this person or place appears (note that the list may still contain errors and duplicates). The list with "De vliegende keeper"-columns lists the title of the column and indicates the file on the floppy disks that holds a version of this column, whether a version of this column is can be found as printout or as newspaper clipping in the paper archive (C33941/323, C33941/324, C33941/325) and on which page of the collection of essays De vliegende keeper (1995) this essay appears.

The blog posts of this research scenario on CLARIAH-VL's website provide more information on the creation of the datasets.

After approval, the files from the floppy disks (C339941/74) can be accessed at the Letterenhuis for further research.
DOI: 10.15468/dl.aj6mdy
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus tricolor L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 561 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015660-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrnjbd
title: Occurrence Download

description: A dataset containing 2599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gossypium herbaceum L."
 ]
}

 The dataset includes 2599 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015651-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sckh6r
title: Occurrence Download

description: A dataset containing 759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Year 1975-2000"
 ]
}

 The dataset includes 759 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015654-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz2pm2
title: Occurrence Download

description: A dataset containing 32679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "GadmGid is SAU.8_1",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 32679 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015658-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5h8hh
title: Occurrence Download

description: A dataset containing 5556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus viridis L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 5556 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015661-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xubvvs
title: Occurrence Download

description: A dataset containing 25 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.continent = 'ASIA'
 AND occurrence.hascoordinate = TRUE
 AND occurrence."month" IN (10, 9, 8, 7, 6, 5, 4, 3, 11)
 AND (occurrence.taxonkey = 1771040 OR occurrence.acceptedtaxonkey = 1771040 OR occurrence.kingdomkey = 1771040 OR occurrence.phylumkey = 1771040 OR occurrence.classkey = 1771040 OR occurrence.orderkey = 1771040 OR occurrence.familykey = 1771040 OR occurrence.genuskey = 1771040 OR occurrence.specieskey = 1771040)
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 25 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015622-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s564zw
title: Occurrence Download

description: A dataset containing 1075048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Colombia, Ecuador, Peru, Bolivia (Plurinational State of), Venezuela (Bolivarian Republic of))",
 "DatasetKey is one of (Tropicos Specimens Non-MO, Tropicos MO Specimen Data)",
 "Elevation 1000.0-6000.0m",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1075048 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015625-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15340589
title: Global Edible Oil Market 2025 To 2034

description: Edible Oil Market Size, Trends and Insights By Product Type (Palm Oil, Soybean oil, Sunflower Oil, Rapeseed Oil, Others), By Packaging Type (Pouches, Jar, Cans, Bottles, Others), By End-use Analysis (Domestic, Industrial, Food Service), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Edible Oil Market analysis conducted by the CMI search Team, the global Edible oil market is expected to record a CAGR of 4.06% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 253.67 Billion. By 2034, the valuation is anticipated to reach USD 362.80 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=69443
DOI: 10.5281/zenodo.15340590
title: Global Edible Oil Market 2025 To 2034

description: Edible Oil Market Size, Trends and Insights By Product Type (Palm Oil, Soybean oil, Sunflower Oil, Rapeseed Oil, Others), By Packaging Type (Pouches, Jar, Cans, Bottles, Others), By End-use Analysis (Domestic, Industrial, Food Service), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025–2034.

Reports Description

As per the Edible Oil Market analysis conducted by the CMI search Team, the global Edible oil market is expected to record a CAGR of 4.06% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 253.67 Billion. By 2034, the valuation is anticipated to reach USD 362.80 Billion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=69443
DOI: 10.15468/dl.8ug5j9
title: Occurrence Download

description: A dataset containing 9287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gossypium barbadense L."
 ]
}

 The dataset includes 9287 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015650-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwvqud
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chilo partellus Swinhoe, 1885"
 ]
}

 The dataset includes 221 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015662-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.