cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y8s5ny
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lipinia cheesmanae"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009301-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfkhxc
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Gentiana straminea"
 ]
}

 The dataset includes 605 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009302-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:redc:v5
title: RWI Commercial Real Estate Data - (SUF On-site)
title: SUF On-site

description: ImmoScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the RWI-GEO-REDC data only cover commercial properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the property but also automatically generated items like the duration of the advertisement spell. 
description: Sampled Universe: All commercial properties listed on ImmoScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 5341517
DOI: 10.15468/dl.2eqz63
title: Occurrence Download

description: A dataset containing 120158 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorNet observations"
 ]
}

 The dataset includes 120158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009282-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux64dc
title: Occurrence Download

description: A dataset containing 57111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((100.55037 13.71966,100.5616 13.71966,100.5616 13.73461,100.55037 13.73461,100.55037 13.71966))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 57111 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009209-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stybb3
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zoothera salimalii"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009303-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5r49gp78
title: MassIVE MSV000100961 - 260225_Nostoc_PCC_7120_Sirius_output_4
title: output from Sirius after mzmine of biomass extraction of Nostoc PCC 7120 with genetical modifications concerning second messenger (positive mode)
DOI: 10.57770/6axuoo
title: Replication Data for: A SnO2 Membrane Gas Sensor for Non-Invasive Monitoring of Breath Ammonia in Hemodialysis Patients

description: Breath ammonia is recognized as a potential non-invasive biomarker for renal function assessment. In this study, we applied our previously developed Tin oxide (SnO2) gas sensing technology—to a new clinical application: real-time monitoring of exhaled ammonia in hemodialysis (HD) patients. The SnO2 membrane gas sensor exhibited high sensitivity, low detection limit, and excellent selectivity toward ammonia due to the synergistic effects of SnO2 membrane. A total of 88 HD patients were recruited, and breath samples were collected immediately before and after dialysis. Results showed a significant decrease in breath ammonia concentration post-dialysis (56.02 ± 65.72 ppm to 33.13 ± 39.57 ppm, p = 0.0021). No significant correlations were found between ammonia changes and conventional dialysis indicators (Kt/V, URR, nPCR), likely due to sampling time variability and calibration differences. This work demonstrates the potential medical application of a SnO₂-based gas sensing platform, providing a rapid and non-invasive approach that may be relevant to bedside dialysis monitoring.
DOI: 10.15468/dl.mmqxb5
title: Occurrence Download

description: A dataset containing 25038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Matt Lecompte, Matt Osborne, Matt Schultz, Matt Welter, Matthew Beziat, Matthew Lemes, Matthew O'Donnell, Matthew Spezio, Matthew Spoor, Matthew StClair, Matthew Voelker, matthew_wills, matthewfutu, matthewmau, mattstanton, Maura, Max, Max Molinarolo, Maxime Tisserant, Maxxum Fioriti, mbassa, mblynch, mcaitlin, mccaulvi, mclay100, mcsnoopy, mefisk, Megan, megans67, Meghan, Meghan Pierce, Melanie, Melanie Rosser-Parr, Melanie Thornton, Melissa Bierd, melmcc204, Melody, melspippin, mem20, memehibou, mertensia7, mfedor, mhalsted, Mia Yeager, micaelacooper, Michael and Antoni Hinczewski, Michael Blacketter, Michael Butler, Michael H. King, Michael John Oldham)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 25038 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009304-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18768179
title: Cognitive Clarity through Nature: A Systematic Review and Meta-Analysis of Natural Products for Brain Fog and Cognitive Dysfunction
DOI: 10.5281/zenodo.18768178
title: Cognitive Clarity through Nature: A Systematic Review and Meta-Analysis of Natural Products for Brain Fog and Cognitive Dysfunction
DOI: 10.48723/e39v-h234
title: Data for Solid phase capture and profiling of open chromatin by spatial ATAC
title: Data för Solid phase capture and profiling of open chromatin by spatial ATAC

description: Abstract from the publication
Current methods for epigenomic profiling are limited in the ability to obtain genome wide information with spatial resolution. Here we introduce spatial ATAC, a method that integrates transposase-accessible chromatin profiling in tissue sections with barcoded solid-phase capture to perform spatially resolved epigenomics. We show that spatial ATAC enables the discovery of the regulatory programs underlying spatial gene expression during mouse organogenesis, lineage differentiation and in human pathology.

Dataset description
The dataset includes spatially-resolved chromatin accessibility profiling performed on three fresh-frozen tissue sections of HER2+ breast cancer. We provide raw data in the form of fastq files, along with processed feature barcode matrices, metadata, and photomicrographs of the tissue slices. Additionally the dataset contains spatially-resolved gene expression profiling of tissue sections from the same specimen. For this too, we provide raw and processed data, along with the metadata information.
Spatial transcriptomics data were generated using 10X Genomics' Visium platform, while spatial ATAC data were created using a method introduced in our publication, which relies on an analogous workflow. Samples were sequenced on Illumina Nextseq 550 or 2000 and raw data were processed with Cell Ranger Gene Expression or ATAC-seq pipelines.
DOI: 10.48723/e0sn-wt20
title: Data for Solid phase capture and profiling of open chromatin by spatial ATAC
title: Data för Solid phase capture and profiling of open chromatin by spatial ATAC

description: Abstract from the publication
Current methods for epigenomic profiling are limited in the ability to obtain genome wide information with spatial resolution. Here we introduce spatial ATAC, a method that integrates transposase-accessible chromatin profiling in tissue sections with barcoded solid-phase capture to perform spatially resolved epigenomics. We show that spatial ATAC enables the discovery of the regulatory programs underlying spatial gene expression during mouse organogenesis, lineage differentiation and in human pathology.

Dataset description
The dataset includes spatially-resolved chromatin accessibility profiling performed on three fresh-frozen tissue sections of HER2+ breast cancer. We provide raw data in the form of fastq files, along with processed feature barcode matrices, metadata, and photomicrographs of the tissue slices. Additionally the dataset contains spatially-resolved gene expression profiling of tissue sections from the same specimen. For this too, we provide raw and processed data, along with the metadata information.
Spatial transcriptomics data were generated using 10X Genomics' Visium platform, while spatial ATAC data were created using a method introduced in our publication, which relies on an analogous workflow. Samples were sequenced on Illumina Nextseq 550 or 2000 and raw data were processed with Cell Ranger Gene Expression or ATAC-seq pipelines.
DOI: 10.15468/dl.h2bb2d
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lipinia infralineolata"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009308-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhjhwz
title: Occurrence Download

description: A dataset containing 16679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Michael Kanzlemar, Michael Kondratowicz, Michael Oakley, Michael R Ostrowski, Michael Werner, Michael Wilpers, Michaela, Michel Aubé, Michelle Campbell, Michelle Goerdel, Michelle Jones, Michelle Norcéide, Michèle Delisle, mickdelorme, mickieb, mickiz05, Mignoffo, miguel1958, Mike Campbell, Mike Cowlard, Mike Durkalec, milesb47, mille773, Mirko Schoenitz, Misha Zitser, missmarylala, Misti West, mitchoutdoors, mlrobinson, mmbenware, mmervin, mmiller1212, mmwb52, moffit217, moliferiawoggleus, Molly Cohn, monchandail, monelson, Monika Wood, moniquefaubert, morganwallendal, morton038, mossbeardshepard, moth-_-man, mothman2027, mountain_fawn, mpkiser, Mr. Clarke, mrharper, mrmromeo)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 16679 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009307-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.waanks
title: Occurrence Download

description: A dataset containing 1982897 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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Clupea pallasii"
 ]
}

 The dataset includes 1982897 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009219-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrm56m
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Gentiana szechenyii"
 ]
}

 The dataset includes 166 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009309-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:redc:v6
title: RWI Commercial Real Estate Data - (SUF On-site)
title: SUF On-site

description: ImmoScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the RWI-GEO-REDC data only cover commercial properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the property but also automatically generated items like the duration of the advertisement spell. 
description: Sampled Universe: All commercial properties listed on ImmoScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 5622323
DOI: 10.5281/zenodo.18767841
title: Human–AI Interaction in Multilingual Language Restaurant Ordering Systems: Evidence from Jakarta Hospitality

description: The rapid advancement of artificial intelligence (AI) has significantly transformed service delivery in the hospitality industry, particularly in restaurant environments where digital ordering systems are increasingly adopted. This study examines human–AI interaction in AI-based multilingual restaurant ordering systems within Jakarta’s hospitality sector. Specifically, the research investigates the relationships among perceived AI interaction quality, perceived ease of use, trust in AI systems, perceived service efficiency, customer satisfaction, and continued use intention. A quantitative research design was employed using a survey of restaurant customers in Jakarta who had experience with digital ordering systems. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that perceived AI interaction quality and perceived ease of use significantly enhance customer trust in AI-based ordering systems. Trust was found to positively influence perceived service efficiency and customer satisfaction, while customer satisfaction emerged as the strongest predictor of continued use intention. The findings highlight the importance of system reliability, usability, and multilingual communication features in shaping customer acceptance of AI-enabled service technologies. This study contributes to the literature on human–AI interaction and smart hospitality by providing empirical evidence from an emerging market context and emphasizing the mediating role of trust in AI adoption. From a managerial perspective, the findings suggest that hospitality providers should prioritize user-friendly interfaces and accurate multilingual communication to improve service experience and customer engagement. The study also provides insights into the implementation of AI-driven service innovations in urban restaurant environments
DOI: 10.5281/zenodo.18767842
title: Human–AI Interaction in Multilingual Language Restaurant Ordering Systems: Evidence from Jakarta Hospitality

description: The rapid advancement of artificial intelligence (AI) has significantly transformed service delivery in the hospitality industry, particularly in restaurant environments where digital ordering systems are increasingly adopted. This study examines human–AI interaction in AI-based multilingual restaurant ordering systems within Jakarta’s hospitality sector. Specifically, the research investigates the relationships among perceived AI interaction quality, perceived ease of use, trust in AI systems, perceived service efficiency, customer satisfaction, and continued use intention. A quantitative research design was employed using a survey of restaurant customers in Jakarta who had experience with digital ordering systems. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that perceived AI interaction quality and perceived ease of use significantly enhance customer trust in AI-based ordering systems. Trust was found to positively influence perceived service efficiency and customer satisfaction, while customer satisfaction emerged as the strongest predictor of continued use intention. The findings highlight the importance of system reliability, usability, and multilingual communication features in shaping customer acceptance of AI-enabled service technologies. This study contributes to the literature on human–AI interaction and smart hospitality by providing empirical evidence from an emerging market context and emphasizing the mediating role of trust in AI adoption. From a managerial perspective, the findings suggest that hospitality providers should prioritize user-friendly interfaces and accurate multilingual communication to improve service experience and customer engagement. The study also provides insights into the implementation of AI-driven service innovations in urban restaurant environments
DOI: 10.15468/dl.gm9hh8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lipinia nitens"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009311-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wyt7r
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zoothera dixoni"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009313-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m32dhp
title: Occurrence Download

description: A dataset containing 25652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (mscherzer31, mselengut, mtipton15, mtop, muckpe, mugglelissa, Murray Beckel, mushroomteen, musicmanjohn, Mylo, Médéric Richer, N. Oborne, nadiyaaar, nak321, naleavitt, nanc35, Nancy L Redman-Furey, nanmccarry, Natalie Howe, Natalie Rudkins, Natalie Waddell-Rutter, natalieczajka, Nate, Nate Hartley, Nate Marchessault, Nate Martineau, Nate N., natebirder, Nathan, Nathan Aaron, naturalist charlie, naturalistalways, naturalpriest, naturelover83, naturin, nbjersey, ndunwoodie, nebrooks, Nelson DeBarros, nest9132, nevesgabe29, nevilleferns, Nex Grimm, niccio36, Nicholas Athari, Nick Newberry, Nick Spigler, Nick Tobler (Cowturtle), Nick Uzhov, Nicole Richardson)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 25652 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009312-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.fastro.00031
title: A Stochasticity-Chaos Analysis of Magnetar Flares, Glitches, Solar Flares, Earthquakes, FRBs and Repeating Source FRB 20240114A
title: A Stochasticity-Chaos Analysis of Magnetar Flares, Glitches, Solar Flares, Earthquakes, FRBs and Repeating Source FRB 20240114A

description: Fast radio bursts (FRBs) are millisecond-duration cosmic transients whose origin remains elusive. Competing models invoke either earthquake-like processes or flare-like mechanisms. To discriminate between these scenarios, we compare the time–energy statistics of five large samples of repeating FRBs with those of magnetar flares, pulsar glitches, solar flares, and earthquakes. Utilizing two statistical diagnostics—the Pincus Index (PI) and the Lyapunov Exponent (LE)—we ascertain that FRBs occupy a distinct region in the stochasticity–chaos phase space. To assess the potential for temporal variations in source activity can shift a repeater's position in this phase space, we investigate the time evolution of the most prolific repeater, FRB 20240114A. Assembling the most comprehensive dataset to date, our work indicates that the radiation mechanisms of repeating FRBs are likely distinct from those driving magnetar flares, pulsar glitches, solar flares, or earthquakes. To conduct a comprehensive comparative study of the statistical properties of FRBs and other transients, we assemble event sequences that are as statistically rich as possible. All datasets used in this work are available in the data file or in the referenced datasets.
description: Fast radio bursts (FRBs) are millisecond-duration cosmic transients whose origin remains elusive. Competing models invoke either earthquake-like processes or flare-like mechanisms. To discriminate between these scenarios, we compare the time–energy statistics of five large samples of repeating FRBs with those of magnetar flares, pulsar glitches, solar flares, and earthquakes. Utilizing two statistical diagnostics—the Pincus Index (PI) and the Lyapunov Exponent (LE)—we ascertain that FRBs occupy a distinct region in the stochasticity–chaos phase space. To assess the potential for temporal variations in source activity can shift a repeater's position in this phase space, we investigate the time evolution of the most prolific repeater, FRB 20240114A. Assembling the most comprehensive dataset to date, our work indicates that the radiation mechanisms of repeating FRBs are likely distinct from those driving magnetar flares, pulsar glitches, solar flares, or earthquakes. To conduct a comprehensive comparative study of the statistical properties of FRBs and other transients, we assemble event sequences that are as statistically rich as possible. All datasets used in this work are available in the data file or in the referenced datasets.
DOI: 10.5281/zenodo.18693013
title: Raw data for "Accelerated Synthesis of Titanium-Beta Zeolite Using N-methyl-2-pyrrolidone and Beta seeds"

description: Raw data for "Accelerated Synthesis of Titanium-Beta Zeolite Using N-methyl-2-pyrrolidone and Beta seeds"
DOI: 10.5281/zenodo.18693012
title: Raw data for "Accelerated Synthesis of Titanium-Beta Zeolite Using N-methyl-2-pyrrolidone and Beta seeds"

description: Raw data for "Accelerated Synthesis of Titanium-Beta Zeolite Using N-methyl-2-pyrrolidone and Beta seeds"
DOI: 10.15468/dl.wxexqs
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Gentiana triflora"
 ]
}

 The dataset includes 243 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009314-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.