cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/tdintn
title: PAN-00129505 - coin/coin-related, Hadrianus (117-138), sestertius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00129505&lt;/p&gt;
description: Modified: 2025-10-21T09:12:41+02:00
DOI: 10.15468/dl.qmpaxx
title: Occurrence Download

description: A dataset containing 37122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Crassula helmsii, Lithobates catesbeianus, Misgurnus mohoity, Myriophyllum aquaticum, Procambarus clarkii, Procambarus virginalis, Xenopus laevis, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 37122 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048295-251120083545085/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.30866210
title: data

description: data
DOI: 10.6084/m9.figshare.30866210.v1
title: data

description: data
DOI: 10.17026/ar/fadkq9
title: PAN-00114547 - coin/coin-related, Edward III (1327-1377), half groat

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00114547&lt;/p&gt;
description: Modified: 2025-09-15T12:37:00+02:00
DOI: 10.6084/m9.figshare.30866201
title: Flota de datos de un lote de 80 motores del 2022.

description: Un centro de diagnóstico y optimización ha recopilado datos de un lote de 80 motores. Como parte de un programa de control de emisiones, el departamento de ingeniería y electromecánica debe realizar un análisis estadístico completo para identificar pa trones, detectar anomalías y proponer mejoras en la calibración de los sistemas de control electrónico (ECU)
DOI: 10.6084/m9.figshare.30866201.v2
title: Flota de datos de un lote de 80 motores del 2022.

description: Un centro de diagnóstico y optimización ha recopilado datos de un lote de 80 motores. Como parte de un programa de control de emisiones, el departamento de ingeniería y electromecánica debe realizar un análisis estadístico completo para identificar pa trones, detectar anomalías y proponer mejoras en la calibración de los sistemas de control electrónico (ECU)
DOI: 10.6084/m9.figshare.30866201.v1
title: Flota de datos de un lote de 80 motores.

description: Un centro de diagnóstico y optimización ha recopilado datos de un lote de 80 motores. Como parte de un programa de control de emisiones, el departamento de ingeniería y electromecánica debe realizar un análisis estadístico completo para identificar pa trones, detectar anomalías y proponer mejoras en la calibración de los sistemas de control electrónico (ECU)
DOI: 10.17026/ar/kgndgl
title: PAN-00178328 - terra sigillata flanged bowl type Curle 11

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178328&lt;/p&gt;
description: Modified: 2025-09-23T16:13:19+02:00
DOI: 10.17026/ar/knjlg4
title: PAN-00055289 - coin/coin-related, muntgewicht dubbele cruzado Portugal

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00055289&lt;/p&gt;
description: Modified: 2025-07-15T10:47:46+02:00
DOI: 10.17026/ar/whx5mo
title: PAN-00113691 - coin/coin-related, Severus Alexander (222-235), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00113691&lt;/p&gt;
description: Modified: 2025-08-26T07:56:19+02:00
DOI: 10.15468/dl.yj9prn
title: Occurrence Download

description: A dataset containing 976094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Regulus satrapa)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 976094 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048292-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17905256
title: Data for Taming T-REX: A Canonical Language for Geometry-Aware Generative Design of Transition-Metal Complexes

description: Data for manuscript titled: Taming T-REX: A Canonical Language for Geometry-Aware Generative Design of Transition-Metal Complexes
DOI: 10.5281/zenodo.17905257
title: Data for Taming T-REX: A Canonical Language for Geometry-Aware Generative Design of Transition-Metal Complexes

description: Data for manuscript titled: Taming T-REX: A Canonical Language for Geometry-Aware Generative Design of Transition-Metal Complexes
DOI: 10.17026/ar/wwbcw4
title: PAN-00120811 - miniature diverse/unspecified (Late Medieval/Modern)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00120811&lt;/p&gt;
description: Modified: 2025-10-28T08:47:42+01:00
DOI: 10.15468/dl.4a4auc
title: Occurrence Download

description: A dataset containing 450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Epimedium brevicornu"
 ]
}

 The dataset includes 450 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048298-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kyzfh
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Marsilea"
 ]
}

 The dataset includes 700 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048299-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uxjdz
title: Occurrence Download

description: A dataset containing 74447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Salvia verbenaca"
 ]
}

 The dataset includes 74447 records from 831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048289-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/bcswuo
title: PAN-00174892 - one-ribbed La Tène bracelet variant H3a

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174892&lt;/p&gt;
description: Modified: 2025-08-27T16:55:24+02:00
DOI: 10.15468/dl.egwy8p
title: Occurrence Download

description: A dataset containing 18545 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Reptiles del Museo de Zoología QCAZ"
 ]
}

 The dataset includes 18545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048302-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/2quged
title: PAN-00165907 - terra sigillata kom type Drag. 37 (EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00165907&lt;/p&gt;
description: Modified: 2025-10-13T11:11:56+02:00
DOI: 10.5281/zenodo.10572722
title: Data from: Deep evolutionary roots of diet in seagrass bed fishes

description: Provided here are the datasets and R code for the study entitled "Deep evolutionary roots of diet in seagrass bed fishes". 

Summary of the study: Diet is a fundamental ecological trait of species that defines their roles in food webs and in regulating the functions of natural ecosystems. How diet has been shaped over deep evolution remains poorly understood, especially for marine species. Using a series of phylogenetic comparative analyses, we investigated conservatism and divergences in the diet evolution of fishes associated with seagrass beds globally. We find strong conservatism in fish trophic level, with closely related fishes being more trophically similar. However, rare, but profound diet divergences took place following seagrass recolonization of the ocean and diverfication around 70-100 mya. Furthermore, phylogeny explains >60% of the variation in diet composition, even when morphological, ecological, and geographical covariates are accounted for. These results highlight the importance of evolutionary history in shaping diet and provide a conciliation for diet divergence versus conservatism from a group of globally distributed and ecologically and economically important species.

#####Files ordered by file name######

# all_covariates.xlsxThis file contains the data of ecological, geographical, and morphological covariates.

# diet.xlsx This file contains the data of fish diet compositions extracted from FishBase.

#final.R This file contains the R code (version 1) to conduct all the analyses in our study.

#final_tree.nexThis file contains the time-calibrated phylogeny we produced using BEAST.

#o_finaltree.phyThis file contains the reduced tree of the final_tree.nex for fish species that were reported in FishBase to be associated only with seagrass beds.

#regimes.xlsxThis file contains the assumed regimes to reconstruct a MOU model.

#seq_id.xslxThis file contains the sequence ID for the genetic sequences used to construct the phylogeny.

#species_list.xlsxThis file contains the scientific names and their taxonomy.

#tree_mr.csvThis file contains the matrix representing the phylogenetic relationship produced by compute.mr() in phytools.

#trophic_level.xlsxThis file contains the trophic level data of fish species estimated using dietr.

The metadata for interpreting the data in the Excel files are included in the Metadata sheet.
DOI: 10.5281/zenodo.17905312
title: Morphological and phylogenetic evidence support four new species and one new record of Entoloma (Entolomataceae, Agaricales) from Northeast China
DOI: 10.5281/zenodo.17905311
title: Morphological and phylogenetic evidence support four new species and one new record of Entoloma (Entolomataceae, Agaricales) from Northeast China
DOI: 10.15468/dl.v24u89
title: Occurrence Download

description: A dataset containing 18545 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Reptiles del Museo de Zoología QCAZ"
 ]
}

 The dataset includes 18545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048303-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/icbfei
title: PAN-00112321 - coin/coin-related, Severus Alexander (222-235), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00112321&lt;/p&gt;
description: Modified: 2025-06-17T09:30:39+02:00
DOI: 10.15468/dl.5zcuak
title: Occurrence Download

description: A dataset containing 46792 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ramphastos dicolorus"
 ]
}

 The dataset includes 46792 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048305-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14118289
title: BITCOIN Historical Datasets 2018-2025 Binance API
DOI: 10.17026/ar/kgtxwu
title: PAN-00174102 - commemorative medal/token

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174102&lt;/p&gt;
DOI: 10.6084/m9.figshare.28502015
title: Taxonomic abundance datasets at Phylum, Class, Order, Family and Genus levels.xlsx

description: Taxonomic classification of the 16S rDNA sequencing reads was performed using QIIME2, referencing the SILVA 138 database, at the Phylum, Class, Order, Family, and Genus levels.
DOI: 10.6084/m9.figshare.28502015.v2
title: Taxonomic abundance datasets at Phylum, Class, Order, Family and Genus levels.xlsx

description: Taxonomic classification of the 16S rDNA sequencing reads was performed using QIIME2, referencing the SILVA 138 database, at the Phylum, Class, Order, Family, and Genus levels.
DOI: 10.6084/m9.figshare.28502015.v3
title: Taxonomic abundance datasets at Phylum, Class, Order, Family and Genus levels.xlsx

description: Taxonomic classification of the 16S rDNA sequencing reads was performed using QIIME2, referencing the SILVA 138 database, at the Phylum, Class, Order, Family, and Genus levels.
DOI: 10.5255/ukda-sn-7022-37
title: Prices Survey Microdata, 1996-2025: Secure Access

description: &lt;p&gt;The &lt;i&gt;Prices Survey Microdata&lt;/i&gt; include the underlying price data used by the Office for National Statistics (ONS) to produce the Consumer Prices Index (CPI), the Retail Prices Index (RPI) and associated price indices. The CPI has become the main domestic measure of inflation for macroeconomic purposes in the UK. Since December 2003 it has been used for the inflation target that the Bank of England is required to achieve. The RPI is the most long-standing measure of inflation in the UK, and its uses have included the indexation of pensions, state benefits and index-linked gilts. The study also includes the data underlying the Producer Prices Index.&lt;br&gt;
&lt;br&gt;
There are four levels of sampling for local price collection: locations/shopping areas; outlets/shops within locations; representative items/goods and services; and products and varieties (price quotes).&lt;br&gt;
&lt;br&gt;
There are two basic price collection methods: local and central. Local collection is used for most items; prices are obtained from outlets in about 150 locations around the country. Some 110,000 quotations are obtained by this method. Normally, collectors must visit the outlet, but prices for some items may be collected by telephone. Central collection is used for items where all the prices can be collected centrally by the ONS with no field work. These prices can be further sub-divided into two categories, depending on their subsequent use: 1) central shops, where the prices are combined with prices obtained locally, and 2) central items, where the prices are used on their own to construct centrally calculated indices. There are about 130 items for which the prices are collected centrally.&lt;br&gt;
&lt;br&gt;
The retail price data include the locations containing the shopping outlets from which the price quotes were obtained. These locations are intended to be broadly representative of a central shopping area and the areas where the local shopping population tend to live. The data also include the regions in which those shopping areas are located.&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;
The producer prices data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;
&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the 37th edition (December 2025),  a monthly Item Indices data file for January 2025 and monthly Price Quotes data files for January, February, May and July 2025 have been added to the study, along with consumption segments data files for February, May and July 2025. In addition, PPI and SPPI data files for June 2022 to June 2024 and September 2022 and September 2024 have also been added.&lt;/p&gt;
DOI: 10.17026/ar/ieeuve
title: PAN-00175201 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175201&lt;/p&gt;
description: Modified: 2025-11-05T09:31:46+01:00
DOI: 10.6084/m9.figshare.30866243
title: Expectations and Sharing: Research on the Spread of AI-Generated Images on Social Media

description: In recent years, the application of artificial intelligence (AI)-generated images on social media has become increasingly widespread, profoundly influencing users’ content creation and sharing behaviors. This study, based on the Stimulus–Organism–Response (S–O–R) theory, explores how social media users’ interest in and engagement with AI-generated images influence their sharing intention through expectation confirmation, and examines the moderating role of perceived playfulness in this process. Through an online questionnaire survey, 589 valid responses were collected, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) method. The results show that users’ engagement with AI has a significant positive effect on expectation confirmation, which in turn significantly promotes sharing intention. However, users’ mere interest does not have a significant impact on expectation confirmation or sharing intention. In addition, perceived playfulness has a significant positive moderating effect between expectation confirmation and sharing intention. This study reveals the key roles of user engagement and expectation confirmation in promoting AI-generated image sharing behavior, providing theoretical foundations and practical implications for AI content platforms to optimize user experience and communication strategies.
DOI: 10.6084/m9.figshare.30866243.v1
title: Expectations and Sharing: Research on the Spread of AI-Generated Images on Social Media

description: In recent years, the application of artificial intelligence (AI)-generated images on social media has become increasingly widespread, profoundly influencing users’ content creation and sharing behaviors. This study, based on the Stimulus–Organism–Response (S–O–R) theory, explores how social media users’ interest in and engagement with AI-generated images influence their sharing intention through expectation confirmation, and examines the moderating role of perceived playfulness in this process. Through an online questionnaire survey, 589 valid responses were collected, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) method. The results show that users’ engagement with AI has a significant positive effect on expectation confirmation, which in turn significantly promotes sharing intention. However, users’ mere interest does not have a significant impact on expectation confirmation or sharing intention. In addition, perceived playfulness has a significant positive moderating effect between expectation confirmation and sharing intention. This study reveals the key roles of user engagement and expectation confirmation in promoting AI-generated image sharing behavior, providing theoretical foundations and practical implications for AI content platforms to optimize user experience and communication strategies.
DOI: 10.5281/zenodo.17905280
title: D2.1 List of CO2, NO2 and CO hotspot locations for the year 2021 identified in satellite observations.

description: This dataset, provided as a standalone CSV file, contains the NO2 hotspot locations identified for the year 2021 using satelite observations. It includes the geographic coordinates (latitude and longitude) of local NO2 maxima detected in TROPOMI images,as well as the methodological information (Gi* scores and assiciated p-values) described in the accompanying report. The dataset is part of the effort to improve annual CO2 emission estimates from hotspot power plants by exploiting satellite measurements of co-emitted NO2.

This dataset accompanies the CORSO projetc Deliverable D2.1 "List of CO2, NO2 and CO hotspot locations for the year 2021 identified in satellite observations.

https://www.corso-project.eu/deliverables
DOI: 10.5281/zenodo.17905279
title: D2.1 List of CO2, NO2 and CO hotspot locations for the year 2021 identified in satellite observations.

description: This dataset, provided as a standalone CSV file, contains the NO2 hotspot locations identified for the year 2021 using satelite observations. It includes the geographic coordinates (latitude and longitude) of local NO2 maxima detected in TROPOMI images,as well as the methodological information (Gi* scores and assiciated p-values) described in the accompanying report. The dataset is part of the effort to improve annual CO2 emission estimates from hotspot power plants by exploiting satellite measurements of co-emitted NO2.

This dataset accompanies the CORSO projetc Deliverable D2.1 "List of CO2, NO2 and CO hotspot locations for the year 2021 identified in satellite observations.

https://www.corso-project.eu/deliverables
DOI: 10.57760/sciencedb.33001
title: Polishing torque data
title: 抛光扭力数据

description: 1. Polishing torque level in deionized water environment;2. The torque change of gradually adding cerium oxide polishing solution in deionized water environment;3. The average polishing torque and post polishing shape of domestic 2um cerium oxide polishing solution at different concentrations;4. Import 2um cerium oxide polishing solution with different concentrations to polish the average torque and shape after polishing;
description: 1. Polishing torque level in deionized water environment;2. The torque change of gradually adding cerium oxide polishing solution in deionized water environment;3. The average polishing torque and post polishing shape of domestic 2um cerium oxide polishing solution at different concentrations;4. Import 2um cerium oxide polishing solution with different concentrations to polish the average torque and shape after polishing;
DOI: 10.6084/m9.figshare.30866222
title: Dados coletados da pesquisa de Inteligência Artificial no cotidiano dos discentes do ICTI

description: Dados coletados para atividade avaliativa na disciplina de Ferramentas Digitais para a Pesquisa Acadêmica do curso de Bacharelado Interdisciplinar em Ciência,Tecnologia e Inovação da Universidade Federal da Bahia, UFBA.
DOI: 10.6084/m9.figshare.30866222.v1
title: Dados coletados da pesquisa de Inteligência Artificial no cotidiano dos discentes do ICTI

description: Dados coletados para atividade avaliativa na disciplina de Ferramentas Digitais para a Pesquisa Acadêmica do curso de Bacharelado Interdisciplinar em Ciência,Tecnologia e Inovação da Universidade Federal da Bahia, UFBA.
DOI: 10.57760/sciencedb.33372
title: Data of the paper:Divergent Responses of Leaf Area Index to Abiotic Drivers Across Abies Forest Types in China
title: Data of the paper:Divergent Responses of Leaf Area Index to Abiotic Drivers Across Abies Forest Types in China

description: The original data extracted from various types of fir forest distribution areas in ArcGIS (including variables related to climate, soil, elevation, and disturbances). The data is divided into 18 CSV files, consisting of separate files for each of the 17 types of fir forests (named according to the type number of the fir forest) and an additional file treating the 17 types of fir forests as a whole (named "Type_Average").
description: The original data extracted from various types of fir forest distribution areas in ArcGIS (including variables related to climate, soil, elevation, and disturbances). The data is divided into 18 CSV files, consisting of separate files for each of the 17 types of fir forests (named according to the type number of the fir forest) and an additional file treating the 17 types of fir forests as a whole (named "Type_Average").