cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/txtj2khy35.1
title: Social nosing behaviour in pigs using SNA

description: Dataset of social behaviour of pigs between 4 and 12 weeks of age, with a focus on social nosing, scored live and from video. Behaviours include amongst others nearest neighbour, nose-body contact, nose-head contact, snout-snout proximity, snout-snout contact, aggression, mounting, feeding synchronization, play. For each behaviour the initiator and recipient is noted to allow for Social Network Analysis.
DOI: 10.17632/9mk2s54g9m
title: Models and formal verification for Electric Vehicle and Urban Delivery Zone

description: This dataset contains formal models and verification data related to the symbolic modelling and verification of a dynamic Electric Vehicle and urban delivery zone. It includes nuXmv specifications for the Context Transiton System (CTS) and Agent Transition System (ATS) with Computation Tree Logic (CTL) properties, figures of verification results, and figures of CTS and ATS. The dataset is associated with a research manuscript currently under submission.
DOI: 10.17632/9mk2s54g9m.1
title: Models and formal verification for Electric Vehicle and Urban Delivery Zone

description: This dataset contains formal models and verification data related to the symbolic modelling and verification of a dynamic Electric Vehicle and urban delivery zone. It includes nuXmv specifications for the Context Transiton System (CTS) and Agent Transition System (ATS) with Computation Tree Logic (CTL) properties, figures of verification results, and figures of CTS and ATS. The dataset is associated with a research manuscript currently under submission.
DOI: 10.17632/jgh6szrkcc
title: AAPL, XOM, JPM, GS, TSLA Stock data

description: This dataset contain data stock of Apple (AAPL), Exxon Mobile (XOM), JP Morgan (JPM), Goldman Sachs (GS), and Tesla (TSLA) from January 2010 to December 2024. The dataset contain the Date, Close price, High price, Low price, Open price, and Volume.
DOI: 10.17632/jgh6szrkcc.1
title: AAPL, XOM, JPM, GS, TSLA Stock data

description: This dataset contain data stock of Apple (AAPL), Exxon Mobile (XOM), JP Morgan (JPM), Goldman Sachs (GS), and Tesla (TSLA) from January 2010 to December 2024. The dataset contain the Date, Close price, High price, Low price, Open price, and Volume.
DOI: 10.17632/3wbhxd7ych
title: Metaphor comprehension_Dataset

description: Stimulus of metaphor comprehension
Acc and RT data for metaphor comprehension
DOI: 10.17632/3wbhxd7ych.1
title: Metaphor comprehension_Dataset

description: Stimulus of metaphor comprehension
Acc and RT data for metaphor comprehension
DOI: 10.17632/gjmvf9j7sh
title: Does the supply network shape the firm size distribution? The Japanese case

description: Simulation and figures codes for the paper "Does the supply network shape the firm size distribution? The Japanese case"
DOI: 10.17632/gjmvf9j7sh.1
title: Does the supply network shape the firm size distribution? The Japanese case

description: Simulation and figures codes for the paper "Does the supply network shape the firm size distribution? The Japanese case"
DOI: 10.17632/m84htf8kmn
title: Influences of Social Media on Consumer Purchasing

description: The social_media_impulse_buying_500.csv dataset comprises 500 entries designed to support machine learning tasks that predict whether a user is likely to make an impulse purchase. It includes a total of 14 variables—13 input features and 1 target variable. The target variable, impulse_purchase, is binary, indicating impulsive buying behaviour (1 for yes, 0 for no). The dataset contains demographic attributes such as age, gender, education level, and monthly income. It also features social media usage metrics like time_spent_on_social_media, platform_most_used, and follow_influencers. Additional variables such as ad_frequency and social_media_ads_clicks measure the user’s exposure and interaction with advertisements. Psychological aspects are captured through perceived_discount, emotional_trigger_score, and peer_influence_score, while online_purchase_frequency reflects shopping habits.
DOI: 10.17632/m84htf8kmn.1
title: Influences of Social Media on Consumer Purchasing

description: The social_media_impulse_buying_500.csv dataset comprises 500 entries designed to support machine learning tasks that predict whether a user is likely to make an impulse purchase. It includes a total of 14 variables—13 input features and 1 target variable. The target variable, impulse_purchase, is binary, indicating impulsive buying behaviour (1 for yes, 0 for no). The dataset contains demographic attributes such as age, gender, education level, and monthly income. It also features social media usage metrics like time_spent_on_social_media, platform_most_used, and follow_influencers. Additional variables such as ad_frequency and social_media_ads_clicks measure the user’s exposure and interaction with advertisements. Psychological aspects are captured through perceived_discount, emotional_trigger_score, and peer_influence_score, while online_purchase_frequency reflects shopping habits.
DOI: 10.17632/7sshjrfw7j
title: LINF_200005200

description: Histone-lysine N-methyltransferase, H3 lysine-76 specific | DOT1B; Leishmania infantum (strain JPCM5)
DOI: 10.17632/7sshjrfw7j.2
title: LINF_200005200

description: Histone-lysine N-methyltransferase, H3 lysine-76 specific | DOT1B; Leishmania infantum (strain JPCM5)
DOI: 10.17632/p9mpgv3y4v
title: LINF_200005000

description: DNA-directed RNA polymerase II subunit 2 | RPC2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/p9mpgv3y4v.2
title: LINF_200005000

description: DNA-directed RNA polymerase II subunit 2 | RPC2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/yfc3mbp4fp
title: Lean construction cost control methods

description: The data shows mostly the articles that were selected for the systematic literature review. It also shows the name of the journal articles, the number of articles published each year.
DOI: 10.17632/yfc3mbp4fp.1
title: Lean construction cost control methods

description: The data shows mostly the articles that were selected for the systematic literature review. It also shows the name of the journal articles, the number of articles published each year.
DOI: 10.17632/bfn5v8xbbb
title: LINF_190021300

description: Eukaryotic translation initiation factor 4E-2 | eIF4E2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/bfn5v8xbbb.2
title: LINF_190021300

description: Eukaryotic translation initiation factor 4E-2 | eIF4E2; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.6p954q
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachyandra revoluta"
 ]
}

 The dataset includes 502 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019103-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gferqp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mangifera indica",
 "Country is Equatorial Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019104-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ut45y6
title: Occurrence Download

description: A dataset containing 13125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lespedeza cuneata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13125 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019105-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bzgtxry7gt.2
title: Dataset of an energy monitoring system implemented in an eco-renovated heritage building located in Vitoria-Gasteiz and composed by three in-use dwellings with gas boiler, heat pump and ventilation systems

description: An intensive Energy Monitoring and Control System (MCS) was installed in three dwellings of a retrofitted heritage building in Vitoria-Gasteiz (Spain) under the European project ENERPAT-SUDOE: Experimentation in the Eco-Renovation of Old Built Heritage. Two complementary MCS platforms—a fixed system and a mobile system—were deployed to support a range of experimental tests aimed at assessing the building’s energy performance and the effectiveness of its energy systems post-retrofit.

The datasets derived from an experimental work that implemented two Monitoring and Control System (MCS), a fixed and mobile MCS, which were implemented to conduct different experimental test to assess the energy performance of building and their energy systems after the eco-retrofitting. This Data in Brief includes data from the fixed MCS, where the data from this MCS complements the dataset derived from the mobile MCS. The datasets of the fixed MCS were compiled through a rigorous data collection process, with 82 sensors installed to collect data from October 26, 2019, at 13:53:00 to November 05, 2024, at 23:59:00. These datasets provide valuable insights into the energy performance of the monitored dwellings, capturing physical variables of user comfort, heating and HVAC system, electrical energy consumption, and weather conditions.

Moreover, the data can be leveraged to optimize monitoring and control strategies for Building Automation Systems (BAS), heating systems, and HVAC systems. Additionally, it supports the advancement of research methodologies that rely on Key Performance Indicators of building energy behaviour, such as the Heat Transfer Coefficient (HTC).
DOI: 10.17632/vf4wtykmy5
title: Eye tracking data about six adverts that promote breast cancer screening

description: 30 women from Greece viewed 6 advertisements that promote breast cancer screening. These are manipulated adverts that were designed by an advertising agencey under the guidance of the research team. The eye tracking experiment took place from November 2024 until January 2025 and each participant was invited at the premices of the Department of Business Administration at NKUA. Tobii Nano eye tracker was used for the experiment. Each advert was viewed for 5 seconds as this is the average time spent on seeing adverts. Participants are between the ages of 40 to 60 and the only demographic data that is captured is education level and houselhold.
This project is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0,
funded by the European Union – NextGenerationEU (Implementation body: HFRI). Project code: 15596.
DOI: 10.15468/dl.hra9hg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis pilosa aristata, Agrostis spuria, Agrostis villosa, Arundo alpina, Arundo alpina, Arundo alpina, Arundo alpina, Arundo calamagrostis, Arundo calamagrostis halleriana, Arundo calamagrostis hallieriana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019107-250711103210423/datasets/export for details.
DOI: 10.17632/vf4wtykmy5.1
title: Eye tracking data about six adverts that promote breast cancer screening

description: 30 women from Greece viewed 6 advertisements that promote breast cancer screening. These are manipulated adverts that were designed by an advertising agencey under the guidance of the research team. The eye tracking experiment took place from November 2024 until January 2025 and each participant was invited at the premices of the Department of Business Administration at NKUA. Tobii Nano eye tracker was used for the experiment. Each advert was viewed for 5 seconds as this is the average time spent on seeing adverts. Participants are between the ages of 40 to 60 and the only demographic data that is captured is education level and houselhold.
This project is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0,
funded by the European Union – NextGenerationEU (Implementation body: HFRI). Project code: 15596.
DOI: 10.15468/dl.4wpbqc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAE5281"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019110-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zr59k252vf
title: Characterization of Cwc2, U6 snRNA, and Prp8 interactions destabilized by Prp16 ATPase at the transition between the first and second steps of splicing

description: To better understand rearrangements within the S. cerevisiae catalytic center, we characterize factors that modulate function of Prp16: Cwc2, N-terminal domain of Prp8, and U6-41AACAAU46 region. Alleles of these factors were identified through genetic screens for mutants that correct cs defects of prp16-302 allele. Several of the identified U6, cwc2, and prp8 alleles are located in close proximity of each other in cryo-EM structures of the spliceosomal catalytic conformations. Cwc2 and U6 interact with the intron sequences in the first step, but they do not seem to contribute to the stability of the second step catalytic center. On the other hand, the N-terminal segment of Prp8 not only affects intron positioning for the first step, but it also makes important contacts in the proximity of the active site for both the first and the second steps of splicing.
DOI: 10.17632/zr59k252vf.1
title: Characterization of Cwc2, U6 snRNA, and Prp8 interactions destabilized by Prp16 ATPase at the transition between the first and second steps of splicing

description: To better understand rearrangements within the S. cerevisiae catalytic center, we characterize factors that modulate function of Prp16: Cwc2, N-terminal domain of Prp8, and U6-41AACAAU46 region. Alleles of these factors were identified through genetic screens for mutants that correct cs defects of prp16-302 allele. Several of the identified U6, cwc2, and prp8 alleles are located in close proximity of each other in cryo-EM structures of the spliceosomal catalytic conformations. Cwc2 and U6 interact with the intron sequences in the first step, but they do not seem to contribute to the stability of the second step catalytic center. On the other hand, the N-terminal segment of Prp8 not only affects intron positioning for the first step, but it also makes important contacts in the proximity of the active site for both the first and the second steps of splicing.
DOI: 10.17632/j5rcsr9698.1
title: The Moon's formation time recorded in lunar mare basalts

description: The Moon's formation time is a key factor for understanding the early evolution of the Earth-Moon system. The lunar magma ocean (LMO) model explains how cumulate mafic materials crystallizing from the LMO form the source of mare basalts (SMB). If the magma ocean was well-stirred, cumulates from it should share an identical initial Pb isotope signature (PbSMB). Because Pb is volatile while U is refractory, PbSMB can provide precise information on when the Moon acquired its volatile element depleted character, most likely dating the time of Moon formation via a giant impact into the proto-Earth. The PbSMB is a link between the initial Pb composition of lunar mare basalts and the Moon's early evolution via a two-stage Pb evolution model. Using four mare basalts with well-constrained ages and initial Pb isotopic compositions, we determine the Moon’s formation time at 4516 (-18/+21) Ma and the SMB solidification time at 4377(-27/+57) Ma. Our modelling strategy facilitates the dating of mare basalt fragments lacking Zr-bearing minerals using the initial Pb isotopic compositions constrained by U-poor minerals. This work sheds light on the early evolution of the Moon and taps the potential capacity in chronological studies of mare basalts.
DOI: 10.17632/zxcwm2rv6h
title: Gully_Survey_Data

description: This dataset is in Excel format and contains three columns: the survey gully unit ID, gully presence, and gully density.
DOI: 10.17632/zxcwm2rv6h.1
title: Gully_Survey_Data

description: This dataset is in Excel format and contains three columns: the survey gully unit ID, gully presence, and gully density.
DOI: 10.17632/68xp3vszsz
title: SliceVision-F2I: Synthetic Visual Dataset for Network Slicing

description: SliceVision-F2I is a new dataset created to change network slice Key Performance Indicators (KPIs) into different visual formats, allowing the use of computer vision methods in managing network slicing. The dataset contains 30,000 samples per generation method, each corresponding to one of three key network slice types: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), and Massive Internet of Things (mIoT).

Each sample in the dataset is transformed into four distinct visual representation patterns, namely Physically-Guided Patterns, Perlin Noise Patterns, Wallpaper Patterns, and Fractal Branching Patterns. These representations are designed to capture different structural and spatial characteristics of KPI data, allowing for diverse visual interpretations and model generalization.

SliceVision-F2I supports a wide range of use cases. In network management, it can help spot problems by looking for unusual patterns, categorise different types of network slices based on what it sees, and estimate user experience quality using statistical models. For machine learning research, the dataset facilitates multimodal learning by offering multiple visual perspectives of the same data. It also enables experimentation with data augmentation techniques across different representation styles and supports the development of explainable AI methods by offering interpretable visual formats.

In educational settings, SliceVision-F2I serves as a valuable resource for teaching network performance concepts through visual demonstration. It provides a standardized benchmark for evaluating AI-based approaches in telecommunications and is well-suited for rapid prototyping of visual analytics tools.

The dataset, along with sample usability code, is publicly available at:
https://github.com/AbidHasanRafi/SliceVision-F2I
DOI: 10.17632/68xp3vszsz.2
title: SliceVision-F2I: Synthetic Visual Dataset for Network Slicing

description: SliceVision-F2I is a new dataset created to change network slice Key Performance Indicators (KPIs) into different visual formats, allowing the use of computer vision methods in managing network slicing. The dataset contains 30,000 samples per generation method, each corresponding to one of three key network slice types: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low-Latency Communications (URLLC), and Massive Internet of Things (mIoT).

Each sample in the dataset is transformed into four distinct visual representation patterns, namely Physically-Guided Patterns, Perlin Noise Patterns, Wallpaper Patterns, and Fractal Branching Patterns. These representations are designed to capture different structural and spatial characteristics of KPI data, allowing for diverse visual interpretations and model generalization.

SliceVision-F2I supports a wide range of use cases. In network management, it can help spot problems by looking for unusual patterns, categorise different types of network slices based on what it sees, and estimate user experience quality using statistical models. For machine learning research, the dataset facilitates multimodal learning by offering multiple visual perspectives of the same data. It also enables experimentation with data augmentation techniques across different representation styles and supports the development of explainable AI methods by offering interpretable visual formats.

In educational settings, SliceVision-F2I serves as a valuable resource for teaching network performance concepts through visual demonstration. It provides a standardized benchmark for evaluating AI-based approaches in telecommunications and is well-suited for rapid prototyping of visual analytics tools.

The dataset, along with sample usability code, is publicly available at:
https://github.com/AbidHasanRafi/SliceVision-F2I
DOI: 10.17632/s3zg99g4ct
title: LINF_200011700

description: Kinesin heavy chain; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.bbnq65
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eutrema sinense"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019108-250711103210423/datasets/export for details.
DOI: 10.17632/s3zg99g4ct.2
title: LINF_200011700

description: Kinesin heavy chain; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zjypg2x2b4
title: LINF_200010900

description: DnaJ domain-containing protein | JDP47 | J47; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zjypg2x2b4.2
title: LINF_200010900

description: DnaJ domain-containing protein | JDP47 | J47; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4km8t9w7jy
title: Alpha-synuclein abundance and localization are regulated by the RNA-binding protein PUMILIO1

description: Complete source data related to the Cabaj et al., manuscript
DOI: 10.17632/4km8t9w7jy.1
title: Alpha-synuclein abundance and localization are regulated by the RNA-binding protein PUMILIO1

description: Complete source data related to the Cabaj et al., manuscript
DOI: 10.17632/ynfv6h642m
title: CHNS 2015

description: China Health and Nutrition Survey (CHNS) is an open cohort international collaborative research project conducted jointly by the Carolina Population Center at the University of North Carolina at Chapel Hill and the National Institute of Nutrition and Health (NINH) in the United States. The primary objectives of the project are to evaluate the implementation outcomes of health, nutrition, and family planning policies and programs implemented by national and local governments, and to explore how China's socioeconomic transformation has influenced the health and nutritional status of its population.
DOI: 10.17632/ynfv6h642m.1
title: CHNS 2015

description: China Health and Nutrition Survey (CHNS) is an open cohort international collaborative research project conducted jointly by the Carolina Population Center at the University of North Carolina at Chapel Hill and the National Institute of Nutrition and Health (NINH) in the United States. The primary objectives of the project are to evaluate the implementation outcomes of health, nutrition, and family planning policies and programs implemented by national and local governments, and to explore how China's socioeconomic transformation has influenced the health and nutritional status of its population.