cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fxxs2
title: CCDC 2262125: Experimental Crystal Structure Determination

description: Related Article: Rebecca Shu Hui Khoo, Christian Fiankor, Sizhuo Yang, Wenhui Hu, Chongqing Yang, Jingzhi Lu, Martha D. Morton, Xu Zhang, Yi Liu, Jier Huang, Jian Zhang|2023|J.Am.Chem.Soc.|145|24052|doi:10.1021/jacs.3c07237
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fxxr1
title: CCDC 2262124: Experimental Crystal Structure Determination

description: Related Article: Rebecca Shu Hui Khoo, Christian Fiankor, Sizhuo Yang, Wenhui Hu, Chongqing Yang, Jingzhi Lu, Martha D. Morton, Xu Zhang, Yi Liu, Jier Huang, Jian Zhang|2023|J.Am.Chem.Soc.|145|24052|doi:10.1021/jacs.3c07237
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.a7xtga
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Branchiobdella hexadonta Gruber, 1883"
 ]
}

 The dataset includes 247 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006957-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5pyby
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Reynoutria japonica Houtt."
 ]
}

 The dataset includes 177 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006960-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux8r7x
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Vertebrate Zoology Division - Herpetology, Yale Peabody Museum",
 "TaxonKey is one of (Lygophis Fitzinger, 1843, Liophis Wagler, 1830)"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006961-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/093a-gz50
title: TripAdvisor Airline Reviews from Year 2016 to 2023

description: The TripAdvisor online airline review dataset, spanning from 2016 to 2023, provides a comprehensive collection of passenger feedback on airline services during the COVID-19 pandemic. This dataset includes user-generated reviews that capture sentiments, preferences, and concerns, allowing for an in-depth analysis of shifting customer priorities in response to pandemic-related disruptions. By examining these reviews, the dataset facilitates the study of evolving passenger expectations, changes in service perceptions, and the airline industry's adaptive strategies. The dataset offers valuable insights into how the pandemic has reshaped customer experiences and behaviors, supporting research on resilience and innovation in the airline sector for Aviation 5.0.
DOI: 10.15468/dl.ehndsr
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "TaxonKey is Reynoutria japonica Houtt."
 ]
}

 The dataset includes 177 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006962-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuzd6t
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyptophractus retusus (Burmeister, 1863)"
 ]
}

 The dataset includes 40 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006964-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jhs5k
title: Occurrence Download

description: A dataset containing 8668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ameiurus melas (Rafinesque, 1820)",
 "Year 2014-2025"
 ]
}

 The dataset includes 8668 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006965-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqxntt
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-141.5798 60.02979,-134.74148 60.02979,-134.74148 69.81842,-141.5798 69.81842,-141.5798 60.02979))",
 "TaxonKey is Fannia tibialis Malloch, 1913"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006966-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edmbfa
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-29.44490 18.00902,118.34641 18.00902,118.34641 77.09721,-29.44490 77.09721,-29.44490 18.00902))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Branchiobdella astaci Odier, 1823"
 ]
}

 The dataset includes 174 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006967-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e217321v1
title: CDC National Youth Risk Behavior Survey 2015-2023

description: Stata formatted data files for the CDC's Youth Risk Behavior Survey
DOI: 10.17632/8h5x2r5b89.1
title: Recurrence of Benedictine proportions in european churches from 9th to 19th century

description: Selection of 200 church layouts with Benedictine Diagram overlay.
Selection criteria :
• A credible survey is available with a good definition
• The church has benefited from little architectural evolution over time
• The church has suffered little to no damage from natural events (ground movement, differential settlement etc.)
• The church layout is pretty straight and mostly symmetrical
• The church is a stone structure built in Europe from the 9th to the 19th century
DOI: 10.15468/dl.ees72r
title: Occurrence Download

description: A dataset containing 507634 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND (countrycode = 'BE') AND "year" &gt;= 2000 AND hasCoordinate = TRUE 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 (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL)AND classKey IN (229, 220, 196)AND coordinateUncertaintyInMeters &lt;= 10000GROUP BY "year", eeaCellCode, classKey, class ORDER BY "year" DESC, eeaCellCode ASC;

 The dataset's 507634 records were derived from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006958-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3dn4bxdytc.1
title: A compilation of the Lu-Hf isotopic data for central and southern Mexico

description: This data set is a compilation of the Lu-Hf isotopic data for central and southern Mexico. It supports a commentary submitted in JSAES: Misconceptions about Lu-Hf isotopic system: a comment on Gómez-Torres et al. (2025) “U-Pb, Hf isotopes and trace elements of zircon reveals a Mesoproterozoic crustal source for the Jurassic Caopas sub-volcanic intrusion: Northern part of the Nazas Igneous Province in Mexico”
DOI: 10.17632/y38k9mt7z8.1
title: AI in Plant Pathology: A Chrysanthemum Leaf Disease Dataset Approach

description: 1. The Significance of Chrysanthemums leaf in Horticulture and Disease Challenges In the horticulture sector, Chrysanthemums are highly valued for their aesthetic appeal as well as their economic worth. However, a number of illnesses that can seriously impair plant health and productivity frequently make it difficult to cultivate these plants. To lessen these risks, leaf diseases must be identified promptly and accurately. The Chrysanthemums leaf disease dataset was created expressly to help horticulturists, researchers, and machine learning experts identify and categorize illnesses that impact Chrysanthemums leaves in order to meet this demand. This dataset includes high-resolution photos of Chrysanthemums leaves that show both disease-free and healthy specimens. Among the important illnesses mentioned are Bacterial leaf and Septoria Leaf Spot. Precise model training and validation are made possible by the thorough annotation of every image, which includes specifics about the nature and severity of the disease. The collection is further enhanced with metadata, which offers important background information about the locations and weather at the time of picture acquisition. Contextual information is essential for comprehending the variables influencing the occurrence of disease and improves the precision of prediction models. 
2. The Role of Deep Learning and Computer Vision the Chrysanthemums Disease Dataset has a plethora of opportunities for classification and detection tasks that can be addressed by modern deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in Chrysanthemums Disease Classification This dataset was created especially to aid in the creation of sophisticated deep learning models. To ensure accuracy and relevance, the dataset's classifications were developed in conjunction with subject matter specialists from a leading agricultural institute. 
4. Data Collection a total of 2700 images were taken at the Shamsher nagar demonstration location in Moulvibazar, Bangladesh. These photos included instances of Bacterial leaf, Septoria Leaf Spot, and Healthy leaves. From the original collection of images, 2301 augmented images were created in order to improve the dataset and expand the amount of data points that were available. These augmented samples were made by applying several techniques like flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.17632/3dn4bxdytc.2
title: A compilation of Lu-Hf isotopic data for central and southern Mexico

description: This data set is a compilation of the Lu-Hf isotopic data for central and southern Mexico. It supports a commentary submitted in JSAES: Misconceptions about Lu-Hf isotopic system: a comment on Gómez-Torres et al. (2025) “U-Pb, Hf isotopes and trace elements of zircon reveals a Mesoproterozoic crustal source for the Jurassic Caopas sub-volcanic intrusion: Northern part of the Nazas Igneous Province in Mexico”
DOI: 10.17632/gsgkptkc67.1
title: Stable isotope equilibria in the dihydrogen-water-methane-ethane-propane system. Part 2: Experimental determination of hydrogen isotopic equilibrium for ethane-H2 from 30-200°C and propane-H2 from 75-200°C

description: Research data for Turner et al. (2025). Stable isotope equilibria in the dihydrogen-water-methane-ethane-propane system. Part 2: Experimental determination of hydrogen isotopic equilibrium for ethane-H2 from 30-200°C and propane-H2 from 75-200°C.
DOI: 10.17632/3rj2ztb4zb.1
title: Model data aggregators-consumers

description: Data set for aggregator-consumer interaction modelled as a bilevel multi-follower mixed-integer nonlinear programming model, where the aggregator sets reward values at the upper level and consumers adjust their energy use according to rewards, energy prices and comfort preferences at the lower level.
DOI: 10.17632/5nzr53w6jp.1
title: South African soil, land cover and weather generator file databases for SWAT

description: This study provides multiple geo-spatial datasets at a national scale for use as baseline input to run ArcSWAT (graphical user interface for SWAT in ArcGIS) or QSWAT (graphical user interface for SWAT+ in QGIS) in South Africa. The input datasets include the following:
• SWAT catchment outline data (tertiary and quaternary);
• Land cover maps at 20-30 m resolution including South African National Land Cover (2014; 2018; 2020) linked to SWAT land cover codes;
• A soil map with SWAT attribute data derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250,000;
• Weather statistics (WGN) files for 12 weather stations obtained from the Agricultural Research Council in South Africa.
DOI: 10.17632/5nzr53w6jp.2
title: South African soil, land cover and weather generator file databases for SWAT

description: This study provides multiple geo-spatial datasets at a national scale for use as baseline input to run ArcSWAT (graphical user interface for SWAT in ArcGIS) or QSWAT (graphical user interface for SWAT+ in QGIS) in South Africa. The input datasets include the following:
• SWAT catchment outline data (tertiary and quaternary);
• Land cover maps at 20-30 m resolution including South African National Land Cover (2014; 2018; 2020) linked to SWAT land cover codes;
• A soil map with SWAT attribute data derived from pedotransfer functions of the Land Type Database of South Africa useable at a scale of 1:250,000;
• Weather statistics (WGN) files for 12 weather stations obtained from the Agricultural Research Council in South Africa.
DOI: 10.15468/dl.rgkudp
title: Occurrence Download

description: A dataset containing 1133708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1133708 records from 523 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006963-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/w6wx77
title: Arctic sea-ice and sub-ice seawater raw sequence reads

description: Arctic sea-ice and sub-ice seawater crude oil microcosms
DOI: 10.15468/ul8lrh
title: Microbial biogeography of French caves

description: Diversity comparison of four pristine caves with five anthropized caves in Dordogne region (France).
DOI: 10.25500/edata.bham.00001368
title: Research data supporting the publication "Has UK Capitalism Transformed? Reassessing Surplus-Value Distribution and Unproductive Labour"
DOI: 10.15468/osrav8
title: Marine sediment metagenome ICM_CFU

description: Investigation of prokaryote diversity in the sub-seafloor biosphere by 16S rRNA gene tag (V6) sequencing.
DOI: 10.5281/zenodo.17185347
title: Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: A Large Language Model Evaluation Study

description: Dataset for primary results as reported in the original article "Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: A Large Language Model Evaluation Study".
DOI: 10.5281/zenodo.17185348
title: Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: A Large Language Model Evaluation Study

description: Dataset for primary results as reported in the original article "Disclaimers and Referral Patterns for Medical Advice Across Urgency Levels: A Large Language Model Evaluation Study".
DOI: 10.15468/0xpckb
title: 13C methanol SIP (WCO station L4)

description: Methanol is a biochemically active, volatile organic compound that plays an important role in tropospheric oxidant photochemistry. It has recently been suggested that the global ocean, where surface methanol concentrations are in the ~30-400 nM range, is a net sink for atmospheric methanol. In the marine environment, this (and other) one-carbon compound is used as an energy and carbon source by bacteria known as methylotrophs. So far, little is known about the identity of the active methanol oxidisers in marine habitats. In this study, Stable Isotope Probing using 13C labelled methanol was combined with 16S rRNA and functional gene amplicon sequencing as well as metagenome sequencing to identify methylotrophic bacteria that are responsible for methanol assimilation in samples obtained from the Western Channel Observatory station L4.
DOI: 10.5281/zenodo.17185098
title: Training dataset for "Machine learning modelling of sonochemical systems using physically-derived dimensionless groups"

description: This dataset contains the training data used in the article “Machine learning modelling of sonochemical systems using physically-derived dimensionless groups.”

The data are organized in an Excel file and include both the dimensional and dimensionless input features, along with the corresponding experimental/observed outcomes employed for model training and validation.

The dataset ensures reproducibility of the results presented in the paper and may be reused for further research on modelling of sonochemical systems.
DOI: 10.15468/wyr7c4
title: Gut content of Antarctic krill Euphausia superba from the West Antarctic Peninsula

description: Amplicon sequencing dataset (Illumina MiSeq) targeting Eukaryotes (18S ssu rRNA) in samples (n=186) from seawater or the gut content of Antarctic Krill (Euphausia superba) from the West Antarctic Peninsula.
DOI: 10.15468/hlhc2l
title: Molecular Characterization of the Structural and Functional Microbial Community in Sediments of a Northern Utah, Basin-Fill Aquifer

description: Characterization of arsenic and Fe(III) reducing microbial communities at the cache valley sites
DOI: 10.15468/jsdlst
title: Metagenome data from DNA stable isotope probing of Stiffkey saltmarsh sediment microcosms to investigate methanogenesis from choline

description: Coastal saltmarsh sediments represent an important source of natural methane emissions, much of the methanogenesis originates from quaternary and methylated amines, such as choline and trimethylamine. However, the key microbes involved in choline-dependent methanogenesis remain poorly characterized and the metabolic pathways by which the saltmarsh microbes degrade choline and form methane are yet to be determined. In this study, we combined DNA stable isotope probing microcosms with high throughput sequencing of 16S rRNA genes and 13C2-choline enriched metagenomes, followed by binning of the microbial population genomes to identify the microbes responsible for methanogenesis. Microcosm incubation with 13C2-choline leads to the formation of trimethylamine and subsequent methane production, suggesting that choline-dependent methanogenesis is a two-step process involving trimethylamine as the key intermediate. Amplicon sequencing analysis identified Deltaproteobacteria, of the genera Pelobacter and Desulfuromonas were the major choline-utilizers. The methanogenic Archaea, of the genera Methanococcoides became enriched in choline-amended microcosms, indicating their role in methane formation from trimethylamine. The binning of the microbial population genomes from metagenomic DNA resulted in the identification of bins that are classified as Pelobacter, Desulfuromonas, Methanococcoides and their associated viruses. Analyses of these bins revealed that Pelobacter and Desulfuromonas have the genetic potential to degrade choline to trimethylamine using the choline-trimethylamine lyase pathway, whereas Methanococcoides are capable of methanogenesis using the pyrrolysine-containing trimethylamine methyltransferase pathway.
DOI: 10.15468/surft2
title: Bacteria (16S) in growth laminae of a large conical mats from Lake Untersee, East Antarctic

description: Amplicon sequencing dataset (454 pyrosequencing) of Bacterial communities (based on the 16S ssu rRNA gene; using Bacteria and Cyanobacteria-specific primers), of three different strata in a laminated microbial mat sample from Lake Untersee (east Antarctica)
DOI: 10.15468/dl.vemwzv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.85655 53.19574,5.80062 53.15964,5.8255 53.06273,5.94469 53.05053,6.04941 53.10484,6.0377 53.17167,5.96192 53.20826,5.85655 53.19574))",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus oeconomus"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009147-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ph75g
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Descurainia pinnata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009149-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckxy6r
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-48.69045 -5.36972,-48.55776 -5.41712,-48.38241 -5.4029,-48.31606 -5.52138,-48.21654 -5.56877,-48.15019 -5.63512,-48.19284 -5.72042,-48.2971 -5.73464,-48.28762 -5.88156,-48.21654 -5.93369,-48.31132 -5.97634,-48.33501 -6.02847,-48.2971 -6.09956,-48.41084 -6.15169,-48.41558 -6.29386,-48.36345 -6.38391,-47.42509 -6.52134,-47.42509 -6.4076,-47.38244 -6.25595,-47.44405 -6.07586,-47.43457 -5.84838,-47.4867 -5.69673,-47.49618 -5.5119,-47.57675 -5.44555,-47.79949 -5.37446,-47.8611 -5.32233,-47.90726 -5.24362,-48.01474 -5.21973,-48.11625 -5.25556,-48.373 -5.17794,-48.52824 -5.20182,-48.58198 -5.32721,-48.68349 -5.27944,-48.69045 -5.36972))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009146-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.